Resources Repository (Alternate View – See AI Tab for the Example)
This repository contains all the CCC resources: white papers, reports, presentations, etc. sorted by general topic area. Items are sorted in reverse chronological order by topic area. For any questions about the resources contained here, please contact Khari Douglas at kdouglas@cra.org.
AI/ML/Robotics
This section contains CCC resources related to artificial intelligence, machine learning, and robotics.
For more on the CCC’s work with AI and robotics visit the Artificial Intelligence Working Group page or watch the videos from the AI for Social Good workshop.
Workshop Reports
CCC / Code 8.7 Applying AI in the Fight Against Modern Slavery
On any given day, tens of millions of people find themselves trapped in instances of modern slavery. This CCC visioning workshop, organized in collaboration with Code 8.7, brought bring together members of the computing research community along with anti-slavery practitioners and survivors to lay out a research roadmap aimed at applying AI to the fight against human trafficking. After brief introductions including opportunities to hear from survivors, advocates, and policy experts, the workshop turned to a series of highly interactive sessions on a selection of computing research topics selected in advance by the organizing committee. Please read the full report to learn more.
Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
Autonomy is becoming mainstream. The anticipation is that cyber-physical-human systems and services enabled by autonomy will improve the future work conditions and the quality of life for humans and create new business models. On the other hand, a number of looming challenges—whether autonomous systems are safe and secure, whether we can assure their safety and security, whether humans will ever trust and work with them, whether we can integrate them at scale and whether we can do all these economically—overshadow the popular belief that a revolution driven by autonomy is imminent.
The CCC's series of three workshops on assured autonomy aimed to create a unified understanding of the goals for assured autonomy and the research trends as well as near-term, mid-term and long-term research needs supporting these goals. The first workshop took place October 16-17 in Arlington, VA, and the second workshop took place February 20-21, 2020 in Phoenix, AZ. A third workshop took place virtually July 29, 2020. A workshop report was released in October 2020. Learn more about the workshops on the series webpage.
The Role of Robotics in Infectious Disease Crises
The CCC and National Academy of Engineering (NAE) co-sponsored a virtual workshop to study the role of robotic systems in infectious disease crises on July 9-10th, 2020. The report briefly 1) identifies key challenges faced by health care responders and the general population; 2) examines robotic/technological responses to these challenges; 3) identifies key research/knowledge barriers that need to be addressed in developing effective, scalable solutions; 4) identifies workforce training, regulatory, and infrastructure needs that should be addressed in order to enable rapid deployment of these systems; and 5) suggests follow-on steps to more fully develop and implement this strategy. A workshop report was released in October 2020.
Algorithmic and Economic Perspectives on Fairness
In May 2019, the CCC held the 1.5-day Economics and Fairness visioning workshop in Cambridge, Massachusetts, which brought together computer science researchers with backgrounds in algorithmic decision-making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world. The workshop was organized by David Parkes (Harvard University, CCC Council) and Rakesh Vohra (University of Pennsylvania), with the support of the CCC’s Fairness and Accountability Task Force
The report highlights the current trends and uses of algorithmic decision making systems, such as credit scoring, resume screening, and recommendation systems; the central concepts needed to evaluate the fairness and equity of such data-based systems; and the outstanding computing research challenges needed to tackle these kinds of problems. Unfortunately, as the report notes, “At present, there is a paucity of work that seeks to quantify the effect on outcomes across the many domains where we will see automated decision making. Measuring the effect of an algorithm on an outcome is inherently difficult because decisions made (or influenced) by an algorithm may have happened identically in the absence of the algorithm.”
Community Roadmap for AI Research
In fall 2018, the Computing Community Consortium (CCC) started a new initiative to create a Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President-Elect of AAAI). A series of three workshops were held in the Fall/Winter of 2018/2019, with the goal of identifying challenges, opportunities, and pitfalls, and create a compelling report that will effectively inform future federal priorities—including future AI R&D Investments. The final report is now available. Learn more about the process of creating the workshop report here.
AI Research Roadmap – Draft for Community Input (May 2019)
In fall 2018, the Computing Community Consortium (CCC) started a new initiative to create a Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University). A series of three workshops were held in the Fall/Winter of 2018/2019, which resulted in a Roadmap produced in the Spring of 2019. The goal of the initiative was to identify challenges, opportunities, and pitfalls, and create a compelling report that will effectively inform future federal priorities—including future AI R&D Investments. This effort is similar to one of the CCC’s first activities, the Robotics Roadmap, which helped to launch the National Robotics Initiative in 2011 and the subsequent 2016 Robotics Roadmap and NRI 2.0.
A draft of the report is now available. CCC would value your comments on this draft report, including the findings and recommendations. Please submit your comments here by May 28, 2019.
Artificial Intelligence Roadmap Executive Summary
In fall 2018, the Computing Community Consortium (CCC) started a new initiative to create a Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University). A series of three workshops were held in the Fall/Winter of 2018/2019, which resulted in a Roadmap produced in the Spring of 2019. The goal of the initiative was to identify challenges, opportunities, and pitfalls, and create a compelling report that will effectively inform future federal priorities—including future AI R&D Investments. This effort is similar to one of the CCC’s first activities, the Robotics Roadmap, which helped to launch the National Robotics Initiative in 2011 and the subsequent 2016 Robotics Roadmap and NRI 2.0. This Executive Summary provides an overview of the roadmap, which is now available here.
Robotic Materials
The CCC's 1.5 day Robotic Materials workshop built upon the inaugural AFOSR/ARO-sponsored workshop on “Robotic Materials” at CU Boulder, and the CCC-sponsored workshop on “Material Robotics” at RSS in Cambridge, MA.
Biological tissues such as the camouflaging skin of an octopus, the wing of a bat, a bone, or the wood of a Banyan tree exhibits a level of functionality and autonomy that engineers can only dream of. While wood and bone have already become poster-childs of bio-inspired composite materials for their impressive structural properties, the material science community has not really appreciated that the structural properties of these systems are only a small subset of the functionality that living wood and living bone provide: self-repair, adapting their structure to changing loading conditions, or storing energy for the organisms they serve. Functionally speaking, these tissues are composites that tightly integrate sensing, actuation, computation and communication. They are made of materials that can harvest, metabolize and store energy to power computers that interact with sensors and actuators that affect their physical properties or make them move. This workshop explored how computer science is not only needed to understand the algorithms that drive such future materials, but also how to make them.
Authored by Nikolaus Correll (University of Colorado Boulder), Ray Baughman (University of Texas at Dallas), Richard Voyles (Purdue University), Lining Yao (Carnegie Mellon University), and Dan Inman (University of Michigan).
The Frontiers of Fairness in Machine Learning
Workshop report from the CCC's March 2018 workshop on Fair Representation and Fair Interactive Learning, authored by Alexandra Chouldechova (Carnegie Mellon University) and Aaron Roth (University of Pennsylvania).
Abstract: "The last few years have seen an explosion of academic and popular interest in algorithmic fairness. Despite this interest and the volume and velocity of work that has been produced recently, the fundamental science of fairness in machine learning is still in a nascent state. In March 2018, we convened a group of experts as part of a CCC visioning workshop to assess the state of the field, and distill the most promising research directions going forward. This report summarizes the findings of that workshop. Along the way, it surveys recent theoretical work in the field and points towards promising directions for research."
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
Artificial Intelligence for Social Good
Workshop Report from the CCC and AAAI's 2016 AI for Social Good Workshop focused around how AI can contribute to urban computing, sustainability, health, and public welfare.
Authored by Gregory D. Hager, Ann Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, and Milind Tambe.
A New Age of Computing and the Brain
Workshop Report from the CCC's 2014 BRAIN workshop. On April 2, 2013, President Obama launched the Brain Research though Advancing Innovative Neurotechnologies (BRAIN) Initiative as a bold new research effort to revolutionize our understanding of the human mind and uncover new ways to treat, prevent, and cure brain disorders. The initiative is a joint program with funding through the Defense Advanced Research Projects Agency (DARPA), the National Institutes of Health (NIH), and the National Science Foundation (NSF). This two-day workshop, sponsored by the CCC and NSF, brought together brain researchers and computer scientists for a scientific dialogue aimed at exposing new opportunities for joint research in the interface between the two fields.
Including contributions by: Polina Golland, Jack Gallant, Greg Hager, Hanspeter Pfister, Christos Papadimitriou, Stefan Schaal, Joshua T. Vogelstein.
CRICIS: Critical Real-time Computing and Information Systems
The CRICIS report is the workshop report from the CCC's 2014 Computing for Disaster Management Workshop. This report was produced by the steering committee for the workshop, comprising: Robin Murphy, co-chair, Texas A&M University, et al. View page 25 of the report for the full list of authors.
A Roadmap for US Robotics From Internet to Robotics
This report resulted from a Workshop on Emerging Technologies and Trends that took place 14–15 August 2008 at Snowbird, Utah. The report was part of the Computing Community Consortium (CCC) study on Robotics. The present report has been authored by the workshop organizers and does not reflect the option of CRA, CCC or NSF. The responsibility of the report lies entirely with the authors. The CCC Workshop on Emerging Technologies and Trends was organized by John M. Hollerbach, University of Utah, Matthew T. Mason, Carnegie Mellon University, and Henrik I. Christensen, Georgia Institute of Technology. The workshop was attended by the following people from academia and industry. To see the full list of workshop contributors go to page 86 of the workshop report.
White Papers
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
White Paper: Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research by Lea A. Shanley (University of Wisconsin-Madison; International Computer Science Institute, Berkeley, CA), Lucy Fortson (University of Minnesota), Tanya Berger-Wolf (The Ohio State University), Kevin Crowston (Syracuse University), Pietro Michelucci (Human Computation Institute). Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade. Nonetheless, humans possess unique abilities such as creativity, intuition, context and abstraction, analytic problem solving, and detecting unusual events. To successfully tackle pressing scientific and societal challenges, we need the complementary capabilities of both humans and machines.
For citation use: Shanley, L.A., Fortson, L., Berger-Wolf, T., Crowston, K., and Michelucci, M. (2021) Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. Washington: D.C.: Computing Community Consortium (CCC).
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
Advances in Artificial Intelligence Require Progress Across all of Computer Science
White Paper: Advances in Artificial Intelligence Require Progress Across all of Computer Science by Gregory D. Hager, Randal Bryant, Eric Horvitz, Maja Matarić, and Vasant Honavar
For citation use: Hager G., Bryant R., Horvitz E., Matarić M., & Honavar V., (2017). Advances in Artificial Intelligence Require Progress Across all of Computer Science. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Healthcare
White paper on autonomous healthcare systems by Gregory D. Hager and Erik Horvitz from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Hager G. D. & Horvitz E. (2015). Toward a Science of Autonomy for Physical Systems: Healthcare: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Paths Toward Autonomy
White paper on Autonomous Physical Systems (APS) by Pieter Abbeel, Ken Goldberg, Gregory Hager, and Julie Shah from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Abbeel P., Goldberg K., Hager G., & Shah J. (2015). Toward a Science of Autonomy for Physical Systems: Paths Toward Autonomy: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Construction
White paper on future construction systems by Miroslaw Skibniewski and Mani Golparvar-Fard from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Skibniewski M. & Golparvar-Fard M. (2015). Toward a Science of Autonomy for Physical Systems: Construction: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems
Overview white paper on the science of autonomy for physical systems by Gregory D. Hager, Daniela Rus, Vijay Kumar, and Henrik Christensen from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Hager G. D., Rus D., Kumar V., & Christensen H. (2015). Toward a Science of Autonomy for Physical Systems: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Disaster
White paper on autonomous disaster systems by Robin Murphy from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Murphy R. (2015). Toward a Science of Autonomy for Physical Systems: Disaster: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Defense
White paper on defense systems by Ronald C. Arkin and Gaurav S. Sukhatme from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Arkin R. & Sukhatme G. S. (2015). Toward a Science of Autonomy for Physical Systems: Defense: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Transportation
White paper on autonomous transportation systems by Daniel Lee and Sebastian Pokutta from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Lee D. & Pokutta S. (2015). Toward a Science of Autonomy for Physical Systems: Transportation: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Service
White paper on autonomous service robots by Peter Allen and Henrik I. Christensen from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Allen P. & Christensen H. (2015). Toward a Science of Autonomy for Physical Systems: Service: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Aerial Earth Science
White paper on Aerial Earth Science by M. Ani Hsieh, Srikanth Saripalli, Gaurav Sukhatme, and Vijay Kumar from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Hseih M. A., Saripalli S., Sukhatme G., & Kumar V. (2015). Toward a Science of Autonomy for Physical Systems: Aerial Earth Science: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
A National Initiative in Emergency Informatics
White Paper:A National Initiative in Emergency Informatics by Robin R. Murphy. Emergency Informatics is an emerging interdisciplinary field intended to revolutionize response and recovery by providing novel, richer ways to collect, transmit, and use data.
For citation use: Robin R. Murphy (2010) A National Initiative in Emergency Informatics. Washington: D.C.: Computing Community Consortium (CCC).
A National Initiative in Emergency Informatics
White paper: A National Initiative in Emergency Informatics by Robin R. Murphy, Texas A&M University.
For citation use: Murphy R. R. (2010). A National Initiative in Emergency Informatics: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling the Smart Grid
White paper: From Data to Knowledge to Action: Enabling the Smart Grid by Randal E. Bryant (Carnegie Mellon University) Randy H. Katz (UC Berkeley) Chase Hensel (Computing Research Association) and Erwin P. Gianchandani (Computing Research Association). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Bryant R. E., Katz R. H., Hensel C., & Gianchandani E. P. (2010). From Data to Knowledge to Action: Enabling the Smart Grid: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Predictions and Decisions: Enabling Evidence-Based Healthcare
White Paper: From Data to Predictions and Decisions: Enabling Evidence-Based Healthcare by Eric Horvitz (Microsoft Research). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Horvitz E. (2010). From Data to Knowledge to Action: Enabling Evidence-Based Healthcare: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: A Global Enabler for the 21st Century
White paper: From Data to Knowledge to Action: A Global Enabler for the 21st Century by Eric Horvitz (Microsoft Research) and Tom Mitchell (Carnegie Mellon University). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Horvitz E. & Mitchell T. (2010). From Data to Knowledge to Action: A Global Enabler for the 21st Century: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling 21st Century Discovery in Science and Engineering
White paper: From Data to Knowledge to Action: Enabling 21st Century Discovery in Science and Engineering by Eric Horvitz (Microsoft Research) and Tom Mitchell (Carnegie Mellon University).Part of the CCC's Big Data and National Priorities white paper series
For citation use: Horvitz E. & Mitchell T. (2010). From Data to Knowledge to Action: A Global Enabler for the 21st Century: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Robotics
White Paper: Robotics by Rodney Brooks (MIT) discusses the current state of robotics and future needs.
For citation use: Brooks R. (2009). Robotics: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Quality of Life Technology
White Paper: Quality of Life Technology by Howard Wactlar (Carnegie Mellon University) and Takeo Kanade (Carnegie Mellon University) that highlights how a Quality of Life Technology Initiative could transform lives in large and growing segments of our population – people with reduced functional capabilities due to aging, disability or chronic disease.
For citation use: Wactlar H. & Kanade T. (2008). Quality of Life Technology: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
[WpBibTeX type="article" title="Comparison among dimensionality reduction techniques based on Random Projection for cancer classification" author="Xie, Haozhe and Li, Jie and Zhang, Qiaosheng and Wang, Yadong" journal="Computational biology and chemistry" year="2016" pages="165–172" publisher="Elsevier" volume="65" url="http://infinitescript.com/wordpress/wp-content/uploads/publications/xie2016comparison.pdf" note="(IF=1.014)"]Other Resources
Catalyzing Computing Episode 16 – Interview with Melanie Mitchell Part 2 Transcript
Transcript of Catalyzing Computing Episode 16: Interview with Melanie Mitchell Part 2 Transcript. This is part 2 of Khari Douglas' interview with Melanie Mitchell, a Professor of Computer Science at Portland State University, and External Professor and Member of the Science Board at the Santa Fe Institute. In this episode, Dr. Mitchell discusses genetic algorithms, complexity science, and the art of writing a book.
Catalyzing Computing Episode 15 – Interview with Melanie Mitchell Part 1 Transcript
Transcript of Catalyzing Computing Episode 15: Interview with Melanie Mitchell Part 1 Transcript. In this episode, Khari Douglas interviews Melanie Mitchell, a Professor of Computer Science at Portland State University, and External Professor and Member of the Science Board at the Santa Fe Institute. Dr. Mitchell discusses moving from physics to computer science, the development of Copycat, a computer program that makes analogies, and common AI fallacies.
Catalyzing Computing Episode 14 – Interview with Dan Lopresti Part 2 Transcript
Transcript of Catalyzing Computing Episode 14: Interview with Dan Lopresti Part 2. This is part 2 of Khari Douglas’ interview with Dr. Daniel Lopresti, the Chair of the Department of Computer Science and Engineering and the Director of the Data X strategic initiative at Lehigh University. In this episode Dr. Lopresti discusses a few of the courses he is currently teaching, the Code 8.7 conference on using AI and computational science to end modern slavery, and the work of the CCC’s Intelligent Infrastructure task force.
Catalyzing Computing Episode 13 – Interview with Dan Lopresti Part 1 Transcript
Transcript of Catalyzing Computing Episode 13: Interview with Dan Lopresti Part 1. In this episode, Khari Douglas interviews Dr. Daniel Lopresti who serves as the Chair of the Department of Computer Science and Engineering and the Director of the Data X strategic initiative at Lehigh University. In this episode Dr. Lopresti discusses his work applying computer science to molecular biology, pattern recognition, and voting machine security.
Autonomous Flight and Landing on Mars with Behçet Açikmeşe (Part 1) Transcript
Transcript of Catalyzing Computing Episode 31: Autonomous Flight and Landing on Mars with Behçet Açikmeşe (Part 1). In this episode, Khari Douglas (CCC, Senior Program Associate) interviews Dr. Behçet Açikmeşe. Behçet was a technologist and a senior member of the Guidance and Control (G&C) Analysis Group at NASA Jet Propulsion Laboratory (JPL) from 2003 to 2012 where he developed guidance, control, and estimation algorithms for formation-flying spacecraft and distributed networked systems, proximity operations around asteroids and comets, and planetary landing. He is currently a Professor in Aeronautics & Astronautics, as well as Electrical & Computer Engineering, at the University of Washington and a member of their Autonomous Controls Lab. In this episode, Dr. Açikmeşe discuss his time at JPL and what it takes to land a rover on Mars.
Science and Technology for National Intelligence with John Beieler Transcript
This episode of the podcast was recorded live at the “This Study Shows” Sci-Mic stage at the 2020 AAAS Annual Meeting in Seattle, Washington. Khari Douglas interviews Dr. John Beieler, a former program manager at IARPA and currently the Director of Science and Technology in the Office of the Director of National Intelligence. In this episode they discuss working in national security and the technical challenges the intelligence community is facing.
Catalyzing Computing – Code 8.7 Transcript
Transcript of Catalyzing Computing Episode 5: Code 8.7: Using Computation Science and AI to End Modern Slavery. In February 2019, the CCC co-sponsored the Code 8.7: Using Computational Science and AI to End Modern Slavery conference. Code 8.7 brought together computer science researchers and technologists with policy researchers, law enforcement officials, and activists involved in the fight against human trafficking.
In this episode Khari Douglas interviews CCC Council Members Dan Lopresti (Lehigh University), Nadya Bliss (Arizona State), and James Cockayne (Centre for Policy Research at UN University) on the discussions, outcomes, and next steps of Code 8.7.
CCC Presentation to NSF on the Economics and Fairness Workshop
Presentation slides from the CCC's Presentation to NSF on the Economics and Fairness Workshop by David Parkes (Harvard University) and Rakesh Vohra (University of Pennsylvania).
Yolanda Gil – “The Transformative Potential of AI for Science: Will AI Write the Scientific Papers of the Future”
Slides from Yolanda Gil's (University of Southern California) "The Transformative Potential of AI for Science: Will AI Write the Scientific Papers of the Future" presentation from the Artificial Intelligence Research: A Community Roadmap scientific session at the 2020 AAAS Annual Meeting.
Bart Selman – “The Emergence of Intelligent Machines: Challenges and Opportunities”
Slides from Bart Selman's (Cornell University) "The Emergence of Intelligent Machines: Challenges and Opportunities" presentation from the Artificial Intelligence Research: A Community Roadmap scientific session at the 2020 AAAS Annual Meeting.
Dan Lopresti – “Artificial Intelligence Research: A Community Roadmap”
Slides from Dan Lopresti's (Lehigh University) "Artificial Intelligence Research: A Community Roadmap" presentation from the Artificial Intelligence Research: A Community Roadmap scientific session at the 2020 AAAS Annual Meeting.
John Beieler – “AI Assurance and AI Security: Definitions and Future Directions”
Slides from John Beieler's (ODNI) "AI Assurance and AI Security: Definitions and Future Directions" presentation from the Detecting, Combating, and Identifying Dis and Mis-information scientific session at the 2020 AAAS Annual Meeting.
Ranveer Chandra – “FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions”
Slides from Ranveer Chandra (Microsoft Azure Global) "FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions" presentation from the Using Computing to Sustainably Feed a Growing Population scientific session at the 2020 AAAS Annual Meeting.
Toniann Pitassi – “Fairness in Machine Learning”
Slides from Toniann Pitassi's (University of Toronto) "Fairness in Machine Learning" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Moritz Hardt – “Some ongoing debates in fair decision-making”
Slides from Moritz Hardt's (University of California, Berkeley) "Some ongoing debates in fair decision-making" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Sampath Kannan – “Decision Making by Machine Learning Algorithms”
Slides from Sampath Kannan's (University of Pennsylvania) "Decision Making by Machine Learning Algorithms" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Catalyzing Computing Podcast – Interview with Suresh Pt. 1 Transcript
Transcript of Catalyzing Computing Episode 1: Interview with Suresh Pt. 1. Suresh Venkatasubramanian is a professor at the University of Utah with a background in algorithms and computational geometry, as well as data mining and machine learning. In this episode Suresh talks about growing up in India, his grad school trajectory, career choices, and his current research interest in algorithmic fairness.
Catalyzing Computing Podcast – Interview with Suresh Pt. 2 Transcript
Transcript of Catalyzing Computing Episode 2: Interview with Suresh Pt. 2. Suresh Venkatasubramanian is a professor at the University of Utah with a background in algorithms and computational geometry, as well as data mining and machine learning. In this episode Suresh talks about joining the CCC, the work of the CCC’s Fairness and Accountability task force, and the impact of the internet and algorithms on the modern world.
Dan Lopresti – “Creating Incentives for Action: Developing a Shared Research Agenda”
Dan Lopresti's presentation slides on "Creating Incentives for Action: Developing a Shared Research Agenda" from the Code 8.7: Using Computation Science and AI to End Modern Slavery Conference co-hosted by the CCC. These slides were presented during the "Creating incentives for action – Research, Regulation and Rewards" session, which explored how governments, industry actors and international organizations can facilitate responsible and effective use of computational science to accelerate progress towards Target 8.7. You can watch video of the session on the UN Web TV website
Ranveer Chandra – “FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions”
Ranveer Chandra's (University of Buffalo) presentation slides on "FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions" from the Sustainably Feeding Ten Billion People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Abraham Stroock – “Learning to listen to plants tools for efficient water use”
Abraham Stroock's (Cornell University) presentation slides on "Learning to listen to plants tools for efficient water use" from the Sustainably Feeding Ten Billion People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Diane Wang – “Coupling nature and nurture: supercharging predictions for agricultural crops”
Diane Wang's (University of Buffalo) presentation slides on "Coupling nature and nurture: supercharging predictions for agricultural crops" from the Sustainably Feeding Ten Billion People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Marie desJardins and Ken Forbus “Integrated Intelligence Summary”
Ken Forbus' (Northwestern) and Marie desJardins' (Simmons) Integrated Intelligence Summary slides presented at the CCC's November 2018 workshop on Integrated Intelligence, part of the AI Roadmap series.
Henry Kautz – “Growing Federal Support for AI Research”
Henry Kautz's (NSF) slides on Growing Federal Support for AI Research presented by Yolanda Gil (USC) at the CCC's November 2018 workshop on Integrated Intelligence, part of the AI Roadmap series.
Yolanda Gil and Bart Selman – “US AI Roadmap Process”
Yolanda Gil's (USC) and Bart Selman (Cornell) slides on US AI Roadmap Process presented at the CCC's November 2018 workshop on Integrated Intelligence, part of the AI Roadmap series.
Ken Forbus and Marie desJardins – “Reasons for Integrated Intelligence”
Ken Forbus' (Northwestern) and Marie desJardins' (Simmons) slides on Reasons for Integrated Intelligence presented at the CCC's November 2018 workshop on Integrated Intelligence, part of the AI Roadmap series.
Integrated Intelligence Workshop Overview Slides
Workshop introduction slides for the CCC's November 2018 workshop on Integrated Intelligence, part of the AI Roadmap series.
CCC Response to NITRD “RFI on Update to the National Artificial Intelligence Research and Development Strategic Plan”
In September 2018, the Networking and Information Technology Research and Development (NITRD) Program released a Request for Information on the 2016 National Artificial Intelligence Research and Development Strategic Plan. The CCC published a response to the plan that explains that CCC has embarked on the development of an AI Research Roadmap, with the goal of identifying key research areas in AI and delivering its finding by Spring 2019. “We hope that the NITRD NCO and the Select Committee will view this roadmapping effort as an input from the computing research community, represented by the CCC, to the update Strategic Plan.”
Julie Shah – “Robots Among US: The Future of Team Performance”
Julie Shah's (MIT) Robots Among US: The Future of Team Performance presentation slides from the CCC's Artificial Intelligence: Augmenting Not Replacing People session at the 2018 AAAS Annual meeting.
CCC Response to NLM Request for Information
In September 2017, the National Library of Medicine (NLM), on behalf of the National Institutes of Health, released a request for information (RFI) on Next-Generation Data Science Challenges in Health and Biomedicine that focused on three focal areas:
1. Promising directions for new data science research in the context of health and biomedicine. Input might address such topics as Data Driven Discovery and Data Driven Health Improvement.
2. Promising directions for new initiatives relating to open science and research reproducibility. Input might address such topics as Advanced Data
3. Management and Intelligent and Learning Systems for Health. Promising directions for workforce development and new partnerships. Input might address such topics as Workforce Development and Diversity and New Stakeholder Partnerships.
In November, the CCC published a response that addresses points one and two.
CCC Response to NITRD “Draft Federal Health Information Technology Research and Development Strategic Framework”
In May 2017, the Networking and Information Technology Research and Development (NITRD) Program released their draft Federal Health Information Technology Research and Development Strategic Framework for public comment. The CCC published a response to the plan that commends the framework’s comprehensive approach, but call for more attention to human-centric complex systems for health IT, the inclusion of cyber-security and privacy into the framework, and an increased focus on person-centered health needs.
Symposium on AI for Social Good, AI for Sustainability and Public Health Transcript
Transcript of the AI for Sustainability and Public Health session of the CCC's AAAI Symposium on AI for Social Good featuring Carla Gomes (Cornell University) and Henry Kautz (University of Rochester). You can watch video of the session here.
Symposium on AI for Social Good – AI in Healthcare Transcript
Transcript of the AI for Healthcare session of the CCC's AAAI Symposium on AI for Social Good featuring Erik Horvitz (Microsoft Research). You can watch video of the session here.
Symposium on AI for Social Good, AI for Social Welfare Transcript
Transcript of the AI for Social Welfare session of the CCC's AAAI Symposium on AI for Social Good featuring Eric Rice (Rice University). You can watch video of the session here.
Symposium on AI for Social Good – AI for Urban Planning Transcript
Transcript of the AI for Urban Planning session of the CCC's AAAI Symposium on AI for Social Good featuring Virginia Dignum (Delft University of Technology). You can watch video of the session here.
Symposium on AI for Social Good, AI for the Social Sciences Transcript
Transcript of the AI for the Social Sciences session of the CCC's AAAI Symposium on AI for Social Good featuring Eric Rice (USC School of Social Work) and Sharad Goel (Stanford University). You can watch video of the session here.
CCC Presentation on “Accelerating Science: A Grand Challenge for AI” to DARPA in March 2017
CCC Presentation on "Accelerating Science: A Grand Challenge for AI" to DARPA in March 2017. Presented by Vasant Honavar, Mark Hill, and Kathy Yelick.
James Evans and Feng (Bill) Shi – “Designing Discovery: Hypergraph Models of Innovation for Science & Technology”
James Evans (University of Chicago) and Feng (Bill) Shi's (UNC Chapel Hill) Designing Discovery: Hypergraph Models of Innovation for Science & Technology presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Rene Baston – “The Impact of Data Today”
Rene Baston's (Northeast Big Data Innovation Hub) The Impact of Data Today presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Lynne Parker – “Overview: National AI R&D Strategic Plan”
Lynne Parker's (former Division Director of CISE Information and Intelligent Systems) Overview: National AI R&D Strategic Plan presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Elias Bareinboim – “Causal Inference and the Data-Fusion Problem”
Elias Bareinboim (Purdue University) Causal Inference and the Data-Fusion Problem presentation slides from the CCC's 2017 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Yolanda Gil – “Hypothesis-Driven Data Analysis of Science Repositories”
Yolanda Gil's (University of Southern California) Hypothesis-Driven Data Analysis of Science Repositories presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Klara Nahrstedt – “Accelerating Science via Smart and Joint Cyber-Infrastructure for Materials and Semiconductor Fabrication Data and Metadata”
Klara Nahrstedt's (University of Illinois at Urbana-Champaign) Accelerating Science via Smart and Joint Cyber-Infrastructure for Materials and Semiconductor Fabrication Data and Metadata presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Zoran Popovic – “Human-Computer Architecture for Scientific Discovery”
Zoran Popovic's (University of Washington) Human-Computer Architecture for Scientific Discovery presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Gully Burns – “Flipping the Light Switch: Using the Cambrian Explosion as a Metaphor for Accelerated Scientific Discovery”
Gully Burns' (Information Sciences Institute) Flipping the Light Switch: Using the Cambrian Explosion as a Metaphor for Accelerated Scientific Discovery presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Larisa Soldatava – “Reproducible Science”
Larisa Soldatav's (Brunel University London) Reproducible Science presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Martin Apple – “Future Science: Emerging Roles of AI in Discovery”
Martin Apple's (Council of Scientific Society Presidents) Future Science: Emerging Roles of AI in Discovery presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Kevin Crowston – “Humans, Machines, and the Future of Citizen Science”
Kevin Crowston's (Syracuse University) Humans, Machines, and the Future of Citizen Science presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Charlotte Lee – “Understanding Scientific Collaboration”
Charlotte Lee's (University of Washington) Understanding Scientific Collaboration presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Chandra Bhagavatula – “Accelerating Science: A Grand Challenge for AI”
Chandra Bhagavatula's (Allen Institute for Artificial Intelligence) Accelerating Science: A Grand Challenge for AI presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Peter Karp – “Accelerating Science with BioCyc and Computational Challenges from the Human Microbiome”
Peter Karp's (SRI International) Accelerating Science with BioCyc and Computational Challenges from the Human Microbiome presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Michel Dumontier – “Advancing Discovery Science Predictive, Evidential and Meta Analytical Methods”
Michel Dumontier's (Stanford University) Advancing Discovery Science Predictive, Evidential and Meta Analytical Methods presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
A Roadmap for US Robotics From Internet to Robotics 2016 Edition
This report is an update of the 2009 Robotics Roadmap. "The present document is a summary of the main societal opportunities identified, the associated challenges to deliver desired solutions and a presentation of efforts to be undertaken to ensure that US will continue to be a leader in robotics both in terms of research innovation, adoption of the latest technology and adoption of appropriate policy frameworks that ensure that the technology is utilized in a responsible fashion."
CCC OSTP AI RFI Response
In June 2016, the Office of Science and Technology Policy (OSTP) released a request for information (RFI) on artificial intelligence (AI). OSTP was “interested in developing a view of AI across all sectors for the purpose of recommending directions for research and determining challenges and opportunities in this field” in order to “solicit feedback on overarching questions in AI, including AI research and the tools, technologies, and training that are needed to answer these questions.”The CCC responded to this RFI and also partnered with OSTP and AAAI in 2016 to host a workshop on AI for Social Good. The link to the workshop report, RFI, the CCC’s response, and the full list of public responses are below:
Ice Cores and Chaos Theory with Liz Bradley (Part 1)
https://cra.org/ccc/wp-content/uploads/sites/2/2020/05/Ice-Cores-and-Chaos-Theory-with-Liz-Bradley-Part-1_comp.mp3 “Ice Cores and Chaos Theory with Liz Bradley (Part 1)” from Catalyzing Computing 2020 by Catalyzing Computing. Released: 2020. Track 3. Genre: Podcast.
CCC Assured Autonomy Presentation to NRI PI meeting
CCC Assured Autonomy Presentation to NRI PI meeting Plenary
Architecture/Systems/Networking
This section contains CCC resources related to computer architecture, systems, and network infrastructure. To find out more about the CCC’s work in these areas visit the Post Moore’s Law task force page
Workshop Reports
Wide Area Data Analytics
The CCC held a visioning workshop on Wide Area Data Analytics in Washington, DC in October 2019 to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop was organized by Rachit Agarwal (Cornell University) and CCC Council Member Jen Rexford (Princeton University) to identify challenges and opportunities in data analytics and related research given that modern datasets are often distributed across many locations. In some cases, datasets are naturally distributed because they are collected from multiple locations, such as sensors spread throughout a geographic region. In other cases, datasets are distributed across different data centers to improve scalability or reliability, or to reduce cost; these distributed locations could be a mix of public clouds, private data centers, and edge computing sites.
Read the full workshop report here
Thermodynamic Computing
In January 2019, the CCC held the 2.5-day Thermodynamic Computing visioning workshop which brought together physical theorists, electrical and computer engineers, electronic/ionic device researchers, and theoretical biologists to explore a novel idea: computing as an open thermodynamic system. The workshop was organized by Tom Conte (Georgia Tech), Erik DeBenedictis (Sandia National Laboratories), Natesh Ganesh (University of Massachusetts Amherst), Todd Hylton (UC San Diego), Susanne Still (University of Hawaii), John Paul Strachan (Hewlett Packard Lab HPE), R. Stanley Williams (Texas A&M), with the support of the CCC’s (now-retired) Post Moore's Law Computing Task Force
The report begins by explaining the need for thermodynamic computers: with the end of Moore’s Law and Dennard scaling we will require novel methods of computing to continue making improvements to computational efficiency. It follows that “if we want to make computers function more efficiently then we should care about energy and its ability to efficiently create state changes — i.e. we should care about thermodynamics” (page 1). We can find inspiration for such computing methods in living systems – like the human brain or a folding protein – that are able to spontaneously find energy-efficient configurations. What if we could build a computer that worked in a similar way? We call this inherent, adaptive computing process that is driven by thermodynamics, thermodynamic computing. This report contemplates uses for such future systems and then outlines a potential roadmap to develop them.
Next Steps in Quantum Computing: Computer Science’s Role
The two-day workshop on Next Steps in Quantum Computing: Computer Science’s Role was held May 22-23, 2018 in Washington DC and brought together over 50 researchers from quantum computing, computer architecture, electronic design automation, compiler construction, and classical programming languages in order to bridge the interdisciplinary gap in the field. Open questions this group discussed includes new methods for circuit synthesis and optimization, compiler optimizations and rewriting, embedded languages versus non-embedded languages, implementations of type systems and error reporting for quantum languages, and techniques for verifying the correctness of quantum programs.
Authored by Margaret Martonosi (Princeton) and Martin Roetteler (Microsoft), with contributions from numerous workshop attendees and other contributors as listed in Appendix A.
CCC Cyber-Social Learning Systems Workshop 1 Narrative Summary
Narrative summary of the first Cyber Social Learning Systems (CSLS) workshop, in the three part series of workshops on the topic.
Arch2030: A Vision of Computer Architecture Research over the Next 15 Years
The Arch2030: A Vision of Computer Architecture Research over the Next 15 Years workshop report resulted from discussions held during the Arch2030 Workshop18 at ISCA 2016, organized by Luis Ceze (University of Washington) and Thomas Wenisch (University of Michigan) and shepherded by Mark Hill (CCC/University of Wisconsin).
"Application trends, device technologies and the architecture of systems drive progress in information technologies. However, the former engines of such progress – Moore’s Law and Dennard Scaling – are rapidly reaching the point of diminishing returns. The time has come for the computing community to boldly confront a new challenge: how to secure a foundational future for information technology’s continued progress. The computer architecture community engaged in several visioning exercises over the years. Five years ago, we released a white paper, 21st Century Computer Architecture, which influenced funding programs in both academia and industry. More recently, the IEEE Rebooting Computing Initiative explored the future of computing systems in the architecture, device, and circuit domains. This report stems from an effort to continue this dialogue, reach out to the applications and devices/circuits communities, and understand their trends and vision. We aim to identify opportunities where architecture research can bridge the gap between the application and device domains."
A New Age of Computing and the Brain
Workshop Report from the CCC's 2014 BRAIN workshop. On April 2, 2013, President Obama launched the Brain Research though Advancing Innovative Neurotechnologies (BRAIN) Initiative as a bold new research effort to revolutionize our understanding of the human mind and uncover new ways to treat, prevent, and cure brain disorders. The initiative is a joint program with funding through the Defense Advanced Research Projects Agency (DARPA), the National Institutes of Health (NIH), and the National Science Foundation (NSF). This two-day workshop, sponsored by the CCC and NSF, brought together brain researchers and computer scientists for a scientific dialogue aimed at exposing new opportunities for joint research in the interface between the two fields.
Including contributions by: Polina Golland, Jack Gallant, Greg Hager, Hanspeter Pfister, Christos Papadimitriou, Stefan Schaal, Joshua T. Vogelstein.
Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond Report
This report was the product of three workshops on Extreme Scale Design Automation and focuses on how the electronic design automation (EDA) community can address major changes to circuits and electronic systems including, "new interconnects and switching devices with atomic-scale uncertainty, the depth and scale of on-chip integration, electronic system-level integration, the increasing significance of software, as well as more effective means of design entry, compilation, algorithmic optimization, numerical simulation, pre- and post-silicon design validation, and chip test."
The authors of the report are R. Iris Bahar, Alex K. Jones, Srinivas Katkoori, Patrick H. Madden, Diana Marculescu, and Igor L. Markov
Workshop on Advancing Computer Architecture Research (ACAR-II) Laying a New Foundation for IT: Computer Architecture for 2025 and Beyond
The Workshop on Advancing Computer Architecture Research (ACAR-II) report Laying a New Foundation for IT: Computer Architecture for 2025 and Beyond is the output of a September 2010 CCC workshop to "identify the key computer architecture research challenges in devising the programmable parallel computing platforms of years 2020-2025, and to articulate an agenda and roadmap to address these challenges." Written by: Josep Torrellas et. al.
Workshop on Advancing Computer Architecture Research (ACAR-1) Report – Failure is not an Option: Popular Parallel Programming
The Workshop on Advancing Computer Architecture Research (ACAR-1) report Failure is not an Option: Popular Parallel Programming is the output of a February 2010 CCC workshop to "identify the key computer architecture research challenges in devising the programmable parallel computing platforms of years 2020-2025, and to articulate an agenda and roadmap to address these challenges." Written by: Josep Torrellas et. al.
NetSE Network Design and Engineering Meeting Report
This meeting report was the output of the Network Design in the NetSE Context workshop part of the Network Science and Engineering (NetSE) workshop series.
White Papers
5G Security and Privacy – A Research Roadmap
White Paper: 5G Security and Privacy - A Research Roadmap by Elisa Bertino, Syed Rafiul Hussain, and Omar Chowdhury.
Abstract: Cellular networks represent a critical infrastructure and their security is thus crucial. 5G – the latest generation of cellular networks – combines different technologies to increase capacity, reduce latency, and save energy. Due to its complexity and scale, however, ensuring its security is extremely challenging. In this white paper, we outline recent approaches supporting systematic analyses of 4G LTE and 5G protocols and their related defenses and introduce an initial security and privacy roadmap, covering different research challenges, including formal and comprehensive analyses of cellular protocols as defined by the standardization groups, verification of the software implementing the protocols, the design of robust defenses, and application and device security.
For citation use: Bertino E., Hussain S. R., & Chowdhury O. (2020) 5G Security and Privacy - A Research Roadmap https://cra.org/ccc/resources/ccc-led-whitepapers/
Democratizing Design for Future Computing Platforms
White Paper: Democratizing Design for Future Computing Platforms by Luis Ceze, Mark D. Hill, Karthikeyan Sankaralingam, and Thomas F. Wenisch. This paper discusses the opportunity for the US government to "unleash software-hardware innovation with programs to develop open hardware components, tools, and design flows that simplify and reduce the cost of hardware design," since "Such programs will speed development for startup companies, established industry leaders, education, scientific research, and for government intelligence and defense platforms."
For citation use: Ceze L., Hill M. D., Sankaralingam K., & Wenisch T. F. (2017) Democratizing Design for Future Computing Platforms https://cra.org/ccc/resources/ccc-led-whitepapers/
A Rural Lens on a Research Agenda for Intelligent Infrastructure
White Paper: A Rural Lens on a Research Agenda for Intelligent Infrastructure by Ellen Zegura, Beki Grinter, Elizabeth Belding, and Klara Nahrstedt. "In this paper, we argue for a set of coordinated actions to ensure that rural Americans are not left behind in this digital revolution. These technological platforms and applications, supported by appropriate policy, will address key issues in transportation, energy, agriculture, public safety and health. We believe that rather than being a set of needs, the rural United States presents a set of exciting possibilities for novel innovation benefiting not just those living there, but the American economy more broadly." This white paper is part of the CCC's Intelligent Infrastructure white paper series
For citation use: Zegura E., Grinter B., Belding E., Nahrstedt K. (2017) A Rural Lens on a Research Agenda for Intelligent Infrastructure. https://cra.org/ccc/resources/ccc-led-whitepapers/
City-Scale Intelligent Systems and Platforms
White Paper: City-Scale Intelligent Systems and Platforms by Klara Nahrstedt, Christos G. Cassandras, and Charlie Catlett. In this paper the authors discuss the requirements and challenges of a Smart City, such as measurements of system performance, connectivity enabling data exchange, and access to data. This white paper is part of the CCC's Intelligent Infrastructure white paper series
For citation use: For citation use: Nahrstedt K., Cassandras C., & Catlett C. (2017). City-Scale Intelligent Systems and Platforms. https://cra.org/ccc/resources/ccc-led-whitepapers/
Challenges to Keeping the Computer Industry Centered in the US [DRAFT]
Draft White Paper: Challenges to Keeping the Computer Industry Centered in the US by Thomas M. Conte, Erik P. Debenedictis, R. Stanley Williams, and Mark D. Hill. This draft paper analyzes the risk that the center of the computing industry - currently focused in Silicon Valley - will move outside of the United States and steps the government should take to prevent that.
For citation use: Conte T. M., Debenedictis E. P., Williams R. S., & Hill M. D. (2017) Challenges to Keeping the Computer Industry Centered in the US. https://cra.org/ccc/resources/ccc-led-whitepapers/
Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States
White Paper: Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States by Aranya Chakrabortty and Alex Huang (North Carolina StateUniversity). In this paper Chakrabortty and Huang argue for the need to switch to a truly digital electric grid in order to improve interoperability and data collection abilities. This white paper is part of the CCC's Intelligent Infrastructure white paper series
For citation use: Chakrabortty A. & Huang A. (2017) Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States. https://cra.org/ccc/resources/ccc-led-whitepapers/
Next Generation Robotics
The Next Generation Robotics report is the output of two CCC workshops designed to follow up on the 2009 Robotics Roadmap. The National Robotics Initiative (NRI) was launched 2011 and this report sets forth a perspective of progress in robotics over the past five years, and provides a set of recommendations for the future.
The editorial team for the reports was: Henrik I Christensen, Allison Okamura, Maja Mataric, Vijay Kumar, Greg Hager, and Howie Choset. You can find the full list of contributors to the report on the cover page.
Accelerating Science: A Computing Research Agenda White Paper
White Paper: Accelerating Science: A Computing Research Agenda by Vasant G. Honavar, Mark D. Hill, and Katherine Yelick discusses the opportunities big data offers for enabling new modes of scientific discovery.
For citation use: Honavar V., Hill M., & Yelick K. (2016). Accelerating Science: A Computing Research Agenda: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Next Generation Computing Challenges
White Paper: Opportunities and Challenges for Next Generation Computing by Gregory D. Hager, Mark D. Hill, and Katherine Yelick discusses the potential impact of future high performance computing systems and their possible uses.
For citation use: Hager G. D., Hill M. D., & Yelick K. (2015). Opportunities and Challenges for Next Generation Computing: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
21st Century Computer Architecture
White Paper: 21st Century Computer Architecture a community white paper that asks “How can I enable the 21st century infrastructure, from sensors to clouds, adding value from performance to privacy, but without the benefit of near-perfect technology scaling?”
For citation use: Hill M. D., Adve S., Ceze L., Irwin M. J., Kaeli D., Martonosi M., . . . Yelick K. (2012). 21st Century Computer Architecture: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Innovation in Networking
White Paper: Innovation in Networking by Nick McKeown (Stanford University), Guru Parulkar (Stanford University) and Jennifer Rexford (Princeton University) argues for the creation of Broadband Innovation Incubators on the campuses of US colleges and universities.
For citation use: McKeown N., Parulkar G., & Rexford J. (2008). Innovation in Networking: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
The Future of Computer Architecture
White Paper: The Future of Computer Architecture by David Patterson (UC Berkeley). This white paper highlights opportunities to improve performance without using more power through computer architecture.
For citation use: Patterson D. (2008). The Future of Computer Architecture: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Other Resources
Catalyzing Computing Episode 36 – Computing Architecture with Mark D. Hill (Part 2) Transcript
Transcript of Catalyzing Computing Episode 36: Computing Architecture with Mark D. Hill (Part 2). Part two of Khari Douglas' (CCC Senior Program Associate) interview with Dr. Mark D. Hill, the Gene M. Amdahl and John P. Morgridge Professor Emeritus of Computer Sciences at the University of Wisconsin-Madison and the Chair Emeritus of the CCC Council. This episode was recorded prior to Dr. Hill joining Microsoft as a Partner Hardware Architect with Azure. His research interests include parallel computer system design, memory system design, computer simulation, deterministic replay and transactional memory. In this episode Hill discusses the importance of computer architecture, the 3C model of cache behavior, and overcoming the end of Moore’s law.
Catalyzing Computing Episode 35 – Computing Architecture with Mark D. Hill (Part 1) Transcript
Transcript of Catalyzing Computing Episode 35: Computing Architecture with Mark D. Hill (Part 1). In this episode, Khari Douglas (CCC Senior Program Associate) interviews Dr. Mark D. Hill, the Gene M. Amdahl and John P. Morgridge Professor Emeritus of Computer Sciences at the University of Wisconsin-Madison and the Chair Emeritus of the CCC Council. This episode was recorded prior to Dr. Hill joining Microsoft as a Partner Hardware Architect with Azure. His research interests include parallel computer system design, memory system design, computer simulation, deterministic replay and transactional memory. In this episode Hill discusses the importance of computer architecture, the 3C model of cache behavior, and overcoming the end of Moore’s law.
Michael P. Frank – “Architectural, Algorithmic, and Systems Engineering Issues for Reversible Computing”
Michael P. Frank's (Sandia National Laboratories) "Architectural, Algorithmic, and Systems Engineering Issues for Reversible Computing" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Harun Šiljak – “Here comes the general theory of the edge of reversibility”
Harun Šiljak's (CONNECT in Trinity College Dublin) "Here comes the general theory of the edge of reversibility" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Nobuyuki Yoshikawa – “Reversible Quantum-Flux-Parametron”
Nobuyuki Yoshikawa's (Yokohama National University) "Reversible Quantum-Flux-Parametron" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Andrew Pineda – “Path to Widespread Adoption of Reversible Classical/Adiabatic Logic Technology by Industry”
Andrew Pineda's (US Air Force Research Laboratory) "Path to Widespread Adoption of Reversible Classical/Adiabatic Logic Technology by Industry" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Robert Wille – “Design Automation for Reversible and Adiabatic Circuits”
Robert Wille's (Johannes Kepler University Linz) "Design Automation for Reversible and Adiabatic Circuits" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Himanshu Thapliyal – “Energy Recovery Computing for Low-Energy and Secure IoT Devices”
Himanshu Thapliyal's (University of Kentucky) presentation slides on "Energy Recovery Computing for Low-Energy and Secure IoT Devices" presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Gregory Snider – “It’s time for Adiabatic Computing”
Gregory Snider's (University of Notre Dame) presentation slides on "It's time for Adiabatic Computing" presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Jayson Lynch – “Reversible Algorithms”
Jayson Lynch's (University of Waterloo) slides on "Reversible Algorithms" presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Erik DeBenedictis – “Quantum Plus Classical Computation”
Erik DeBenedictis' (Zettaflops LLC) presentation slides on "Quantum Plus Classical Computation" from at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Ralph Merkle – “A Goal: Zero Energy Computing”
Ralph Merkle's (Institute for Molecular Manufacturing) "A Goal: Zero Energy Computing" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Markus Müller – “Reversible computing and the resource-theoretic approach to thermodynamics”
Markus Müller's (Institute for Quantum Optics and Quantum Information) "Reversible computing and the resource-theoretic approach to thermodynamics" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Alexander Khitun – “Spin Wave Reversible Logic”
Alexander Khitun's (UC Riverside) "Spin Wave Reversible Logic" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Sarah Frost-Murphy – “Quantum-dot Cellular Automata: A Brief Introduction”
Sarah Frost-Murphy's (Gem State Informatics) slides from her presentation on "Quantum-dot Cellular Automata: A Brief Introduction," presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Michael P. Frank – “Device and Circuit Technologies for Reversible Computing – An Introduction”
Michael P. Frank's (Sandia National Laboratories) "Device and Circuit Technologies for Reversible Computing - An Introduction" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Ralph Merkle – “Molecular Mechanical Computing”
Ralph Merkle's (Institute for Molecular Manufacturing) presentation slides on "Molecular Mechanical Computing" presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Mark Hill – “The Computing Community Consortium: Catalyzing and Enabling Computing Research”
Mark Hill's (Microsoft) workshop introduction slides on the Computing Community Consortium (CCC) from the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Neal Anderson – “Physical Information and Fundamental Energy Limits in Computation”
Neal Anderson's (University of Massachusetts Amherst) "Physical Information and Fundamental Energy Limits in Computation" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Norm Margolus – “Quantum Limits on Classical Computation”
Norm Margolus' (MIT) slides on "Quantum Limits on Classical Computation" presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Karpur Shukla – “Foundations of the Lindbladian Approach to Reversible Computing”
Karpur Shukla's (Brown University) "Foundations of the Lindbladian Approach to Reversible Computing" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Michael P. Frank – “Fundamental Physics of Reversible Computing – An Introduction”
Michael P. Frank's (Sandia National Laboratories) "Fundamental Physics of Reversible Computing - An Introduction" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Norm Margolus – “Quantum Limits on Classical Computation”
Norm Margolus' (MIT) "Quantum Limits on Classical Computation" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Sebastian Deffner – “Speed limits on and shortcuts to reversible computing”
Sebastian Deffner's (UMBC) "Speed limits on and shortcuts to reversible computing" slides presented at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
Karpur Shukla – “Fundamental Thermodynamic Limits of Classical Reversible Computing via Open Quantum Systems”
Karpur Shukla's (Brown University) "Fundamental Thermodynamic Limits of Classical Reversible Computing via Open Quantum Systems" slides presented during the physics breakout at the CCC's October 2020 Physics & Engineering Issues in Adiabatic/Reversible Classical Computing workshop.
CCC Presentation to the National Science Foundation on the Thermodynamic Computing Workshop
Presentation slides from the CCC's presentation to the National Science Foundation (NSF) on the Thermodynamic Computing Workshop by Todd Hylton (UC San Diego), Tom Conte (Georgia Tech), and Mark Hill (University of Wisconsin).
Todd Hylton – “Thermodynamic Computing: It’s All About Energy”
Slides from Todd Hylton's (UC San Diego) "Thermodynamic Computing: It's All About Energy" presentation from the Next Generation Computer Hardware scientific session at the 2020 AAAS Annual Meeting.
Tom Conte – “Into the Wild: Radically New Computing Methods for Science”
Slides from Tom Conte's (Georgia Tech) "Into the Wild: Radically New Computing Methods for Science" presentation from the Next Generation Computer Hardware scientific session at the 2020 AAAS Annual Meeting.
Mark Hill – “Next Generation Computer Hardware
Mark Hill's (U. Wisconsin-Madison) introduction slides to the Next Generation Computer Hardware scientific session at the 2020 AAAS Annual Meeting.
Catalyzing Computing Podcast – What is Thermodynamic Computing Part 1 Transcript
Transcript of Catalyzing Computing Episode 3: What is Thermodynamic Computing Pt. 1. In January 2019, the CCC hosted a visioning workshop on, Thermodynamic Computing in Honolulu, Hawaii. This episode of the Catalyzing Computing podcast features an interview with workshop organizers Tom Conte (Georgia Tech) and Todd Hylton (UC San Diego) to discuss their reasons for proposing the workshop, what thermodynamic computing is, and the potential impact that thermodynamic computing could have on future technology. Workshop participant Christof Teuscher (Portland State University) also shares his thoughts on the workshop and his work with new models of computation, including computing with DNA.
Catalyzing Computing Podcast – What is Thermodynamic Computing Part 2 Transcript
Transcript of Catalyzing Computing Episode 4: What is Thermodynamic Computing Pt. 2. In January 2019, the CCC hosted a visioning workshop on, Thermodynamic Computing in Honolulu, Hawaii. This episode of the Catalyzing Computing podcast features an interview with workshop organizer, Natesh Ganesh, a PhD student at the University of Massachusetts Amherst who is interested in the physical limits to computing, brain inspired hardware, non-equilibrium thermodynamics, and emergence of intelligence in self-organized systems. He was awarded the best paper award at IEEE ICRC’17 for the paper A Thermodynamic Treatment of Intelligent Systems. I also speak with workshop participant Gavin Crooks, formerly a Senior Scientist at Rigetti Quantum Computing who developed algorithms for near term quantum computers. Gavin is a world expert on non-equilibrium thermodynamics and the physics of information
Mark Hill – “Accelerator-level Parallelism”
Mark Hill's (University of Wisconsin) slides from a September 2019 presentation at Yale on Accelerator-level Parallelism. Dr. Hill also presented these slides at the the CCC's 2019 Wide-Area Data Analytics workshop.
Victor Bahl – “Live Video Analytics: extracting actionable insights from cameras in the wild”
Victor Bahl's (Microsoft Research) presentation slides on Live Video Analytics: extracting actionable insights from cameras in the wild from the CCC's 2019 Wide-Area Data Analytics workshop.
Ion Stoica – “To edge, or not to edge, that’s the question – an outsider’s view”
Ion Stoica's (University of California, Berkeley) presentation slides on To edge, or not to edge, that's the question - an outsider's view from the CCC's 2019 Wide-Area Data Analytics workshop.
Minlan Yu – “Data Analytics for Network Telemetry”
Minlan Yu's (Harvard University) presentation slides on Data Analytics for Network Telemetry from the CCC's 2019 Wide-Area Data Analytics workshop.
Lili Qiu – “Data Analytics for Wireless Communication and Sensing”
Lili Qiu's (University of Texas at Austin) presentation slides on Data Analytics for Wireless Communication and Sensing from the CCC's 2019 Wide-Area Data Analytics workshop.
Rachit Agarwal – Wide Area Data Analytics, Workshop Introduction
Rachit Agarwal's (Cornell University) workshop introduction slides from the CCC's 2019 Wide-Area Data Analytics workshop.
Todd Hylton – “Thermodynamic Neural Network”
Todd Hylton (UC San Diego) - "Thermodynamic Neural Network" slides presented at the CCC's January 2019 Thermodynamic Computing workshop. The full powerpoint with videos can be accessed here.
Joshua Yang – “Physical systems for thermodynamic computing”
Joshua Yang's (UMass Amherst) "Physical systems for thermodynamic computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
CCC Thermodynamic Computing Workshop Lightning Slides
"Lighting" participant introduction slides from the CCC's 2019 Thermodynamic Computing visioning workshop.
Jeff Krichmar – “Brains as a Model for Thermodynamic Computing”
Jeff Krichmar's (UC Irvine) "Brains as a Model for Thermodynamic Computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Suhas Kumar – “The device physics we need to build thermodynamic computers”
Suhas Kumar's (Hewlett Packard) "The device physics we need to build thermodynamic computers" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Gavin Crooks – “Thermodynamic Computing”
Gravin Crooks' "Thermodynamic Computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Jungsang Kim- “Next Steps in Quantum Computing: CS’s Role Challenges and Opportunities in Technology”
Jungsang Kim's (Duke University) Next Steps in Quantum Computing: CS's Role Challenges and Opportunities in Technology presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Quantum Computing Lightning Slides
"Lighting" participant introduction slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Andrew Childs – “Algorithms for quantum computers”
Andrew Childs' (University of Maryland) Algorithms for quantum computers presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Bettina Heim- “Toolchains for Quantum Computing”
Bettina Heim's (Microsoft Research) Toolchains for Quantum Computing presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science's Role.
Igor Markov- “QC Architecture: When Life Gives You Lemons”
Igor Markov's (University of Michigan) QC: Architecture: When Life Gives You Lemons presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Fred Chong- “Quantum Computer Architecture (Co-Designed with Software): Tradeoffs and Breaking Abstractions”
Fred Chong's (University of Chicago) Quantum Computer Architecture (Co-Designed with Software): Tradeoffs and Breaking Abstractions presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Xiaodi Wu- “Quantum Algorithm Survey: Cont’d”
Xiaodi Wu's (University of Maryland) Quantum Algorithm Survey: Cont'd presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Ali Javadi-Abhari – “Quantum Toolchains”
Ali Javadi-Abhari's (IBM Research) Quantum Toolchains presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Andrew Houck – “Technologies that have demonstrated algorithms”
Andrew Houck's (Princeton University) Technologies that have demonstrated algorithms presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Summary Discussion from the Digital Computing Workshop
Summary Discussion that opened the morning of the second day the Digital Computing Beyond Moore’s Law worksop.
Kathy Yelick – “Computational Imaging”
Kathy Yelick's (UC Berkeley) Computational Imaging presentation slides from the CCC's spring 2018 Digital Computing Beyond Moore’s Law worksop.
Srinivas Aluru Digital Computing Slides
Srinivas Aluru's (Georgia Tech) High Performance Computing For Biology and Medicine presentation slides from the Digital Computing Beyond Moore’s Law worksop.
Digital Computing Lightning Slides
"Lighting" participant introduction slides from the CCC's 2018 Digital Computing Beyond Moore's Law.
Sariat Adve – Programming Systems for Specialized Architectures
Sarita Adve's (University of Illinois at Urbana-Champaign) Programming Systems for Specialized Architectures presentation slides from the CCC's spring 2018 Digital Computing Beyond Moore’s Law worksop.
Samuel V. Scarpino – “The Predictability Horizon”
Samuel Scarpino's (Northeastern University) The Predictability Horizonpresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Bill Griswold – “Research Questions Prompted by the CitiSense Air Quality Monitoring System”
Bill Griswold's (UC San Diego) Research Questions Prompted by the CitiSense Air Quality Monitoring Systempresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Jennifer Clark – “Making Smart Cities: The Design, Development, and Deployment of Cross-Platform, Service-Integrated, Technology “Products” into Cities”
Jennifer Clark's (Georgia Tech) Making Smart Cities: The Design, Development, and Deployment of Cross-Platform, Service-Integrated, Technology "Products" into Cities presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
George Siemens – “Two persistent systems level challenges”
George Siemens's (University of Texas at Arlington) Two persistent systems level challengespresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Carolyn Rose – “Towards Socializing Intelligence in Urban Classrooms and other even more wicked problems…”
Carolyn Rose's (Carnegie Mellon University) Towards Socializing Intelligence in Urban Classrooms and other even more wicked problems...presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Britte Cheng – “Modeling and Analyzing Education Systems: Two Applications for CSLS”
Britte Cheng's (SRI International) Modeling and Analyzing Education Systems: Two Applications for CSLSpresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Brad Hesse – “Two “Wicked Problems” in Healthcare: The Case of Cancer”
Brad Hesse's (NIH) Two “Wicked Problems” in Healthcare: The Case of Cancerpresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
William Stead – “Health Domain Panel Challenge Problems”
William Stead's (Vanderbilt University) Health Domain Panel Challenge Problems presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Kevin Sullivan – “Take-Aways from WS#1”
Bill Griswold's (University of Virginia and workshop co-organizer)Take-Aways from WS#1 slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Cyber Social Learning Systems Workshop #2, Participant Introduction Slides
"Lighting" participant introduction slides from the second Cyber Social Learning Systems (CSLS) workshop, part of a three-part series of workshops on the topic.
Opening Remarks from the Visioning Workshop on Nanotechnology-inspired Information Processing Systems of the Future
These are the slides from the opening remarks to the 2016 Nanotechnology-inspired Information Processing Systems of the Future . The workshop report can be found here
Jonathan Silverstein – “Predictive Modeling Integrated in Healthcare, Toward the Learning Health System”
Jonathan Silverstein's (Kanter Health Foundation) Predictive Modeling Integrated in Healthcare, Toward the Learning Health System presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Learning/Unlearning In these exponential times! Honoring the tacit components in knowing
Workshop presentation slides on learning systems from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Kevin Sullivan – “First CCC Workshop on Cyber-Social Learning Systems”
Kevin Sullivan's (University of Virginia and workshop co-organizer) First CCC Workshop on Cyber-Social Learning System introductory slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Elizabeth Churchill – “infrastructure a personal, meta-perspective”
Elizabeth Churchill's (Google) infrastructure a personal, meta-perspective presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Stephanie D. Teasley – “Cyber-Social Learning Systems: Higher Education”
Stephanie Teasley's (University of Michigan) Cyber-Social Learning Systems: Higher Education presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Lori Clarke – “Trustworthy Cyber Social Learning Systems”
Lori Clarke's (UMass Amherst) Trustworthy Cyber Social Learning Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
William G. Griswold – “It’s (all about the) People! an example from the healthcare domain”
William Griswold's (Stevens Institute of Technology) It’s (all about the) People! an example from the healthcare domain presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
William B. Rouse – “Learning in Complex Systems”
William Rouse's (Stevens Institute of Technology) Learning in Complex Systems presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Charles P. Friedman – “CSLS History 101: What Led Us to This Event”
Charles Friedman's (University of Michigan and workshop co- organizer) CSLS History 101: What Led Us to This Event presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Tarek Abdelzaher – “Learning Social Signals in Cyber-Physical Systems The Social Macroscope”
Tarek Abdelzaher's (University of Illinois at Urbana Champaign) Learning Social Signals in Cyber-Physical Systems The Social Macroscope presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Cyber Social Learning Systems Workshop #1, Participant Introduction Slides
"Lighting" participant introduction slides from the Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Ben Shneiderman – “The New ABCs of Research”
Ben Shneiderman's (University of Maryland) The New ABCs of Research presentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Jim Spohrer – “Cyber-Social-Learning-Systems”
Jim Spohrer's (IBM) Cyber-Social-Learning-Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Bill Scherlis – “Assurance and Abstraction for Cyber Social Learning Systems”
Bill Scherlis' (Carnegie Mellon University) Assurance and Abstraction for Cyber Social Learning Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Cyber Social Learning Systems Workshop 2 Breakout Group Slides – “Trust and trustworthiness”
Presentation slides on "Trust and trustworthiness" from one of the breakout groups at the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Mary Czerwinski – “CCC 2016 Cyber Social Learning Systems”
Mary Czerwinski's (Microsoft Research) CCC 2016 Cyber Social Learning Systemspresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Rahul C. Basole – “Cyber Social Learning Systems: Observations & Reflections”
Rahul Basole's (Georgia Tech) Cyber Social Learning Systems: Observations & Reflections presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Lise Getoor – “CSLS Panel”
Lise Getoor's (UC Santa Cruz) presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Ben Shneiderman – “Design Tools for Governance in Cyber Social Systems: Community Formation/Management, Deliberation, Conflict Resolution”
Ben Shneiderman's (University of Maryland) Design Tools for Governance in Cyber Social Systems: Community Formation/Management, Deliberation, Conflict Resolution presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Workshops on Advancing Computer Workshops on Advancing Computer Architecture Research (ACAR) Summary Slides
This pdf features a summary of the first and second Advancing Computer Architecture Research (ACAR) workshop that addressed the key challenges to key computer architecture research in devising the programmable parallel computing platforms of years 2020-2025.
Databases/Informatics/Data Science/HPC
This section contains CCC resources related to databases, informatics, data science, and high performance computing.
To find out more about the CCC’s work in these areas visit the Post Moore’s Law task force page or the past CCC task force page on the Convergence of Data and Computing.
Workshop Reports
Wide Area Data Analytics
The CCC held a visioning workshop on Wide Area Data Analytics in Washington, DC in October 2019 to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop was organized by Rachit Agarwal (Cornell University) and CCC Council Member Jen Rexford (Princeton University) to identify challenges and opportunities in data analytics and related research given that modern datasets are often distributed across many locations. In some cases, datasets are naturally distributed because they are collected from multiple locations, such as sensors spread throughout a geographic region. In other cases, datasets are distributed across different data centers to improve scalability or reliability, or to reduce cost; these distributed locations could be a mix of public clouds, private data centers, and edge computing sites.
Read the full workshop report here
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
Nanotechnology Inspired Information Processing System of the Future
The 1.5-day Nanotechnology-inspired Information Processing Systems visioning workshop brought together a broad community of leading researchers from the areas of computing, neuroscience, systems, architecture, integrated circuits, and nanoscience, to think broadly and deeply about ideas for designing information processing platforms of the future on beyond CMOS nanoscale process technologies in the context of three application driven platform-focused topical areas – cloud-based, autonomous, and human-centric systems.
Authored by Randy Bryant, Mark Hill, Tom Kazior, Daniel Lee, Jie Liu, Klara Nahrstedt, Vijay Narayanan, Jan Rabaey, Hava Siegelmann, Naresh Shanbhag, Naveen Verma, H.-S. Philip Wong.
Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science
In October 2014 the CCC held a workshop on Uncertainty in Computation Workshop. Modern science, technology, and politics are all permeated by data that comes from people, measurements, or computational processes. However, data is often incomplete, corrupt, or lacking in sufficient accuracy and precision. While concern for these uncertainties would seem essential to rational decision making, explicit consideration of uncertainty is rarely part of the computational and decision making pipeline. Now is the appropriate time to hold a discussion about future research directions related to the modeling of uncertainty in computations and the ways in which the uncertainty inherent in many computational processes can be communicated to those tasked with making decisions based on such data.
Towards a science of open source systems
The report from the 2010 FOSS Workshop on the Future of Research in Free/Open Source Software.
Open source systems are beginning to appear in many diverse disciplines, though perhaps the area with the highest level of activity, visibility, and impact is free/open source software (FOSS) systems. FOSS systems are being researched and developed by fast growing communities of academic and industrial practitioners in different disciplines.
Authored by Walt Scacchi, Kevin Crowston, Chris Jensen, Greg Madey, Megan Squire, Thomas Alspaugh, Les Gasser, Scott Hissam, Yuzo Kanomata, Hamid Ekbia, Kangning Wei, Charles Schweik, and others from the 2010 FOSS Workshop on the Future of Research in Free/Open Source Software.
White Papers
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
Big Data, Data Science, and Civil Rights
White paper: Big Data, Data Science, and Civil Rights by Solon Barocas, Elizabeth Bradley, Vasant Honavar, and Foster Provost. "In this paper, we argue for a concrete research agenda aimed at addressing these concerns, comprising five areas of emphasis: (i) Determining if models and modeling procedures exhibit objectionable bias; (ii) Building awareness of fairness into machine learning methods; (iii) Improving the transparency and control of data- and model-driven decision making; (iv) Looking beyond the algorithm(s) for sources of bias and unfairness—in the myriad human decisions made during the problem formulation and modeling process; and (v) Supporting the cross-disciplinary scholarship necessary to do all of that well."
For citation use: Barocas S., Bradley E., Honavar V., & Provost F. (2017) Big Data, Data Science, and Civil Rights.https://cra.org/ccc/resources/ccc-led-whitepapers/
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy
White Paper: Advanced Cyberinfrastructure for Science, Engineering, and Public Policy by Vasant G. Honavar, Katherine Yelick, Klara Nahrstedt, Holly Rushmeier, Jennifer Rexford, Mark D. Hill, Elizabeth Bradley, and Elizabeth Mynatt.
This paper focuses on the need for greater cyberinfrastructure in order to maximize the potential for big data for usage in science, engineering, and public policy.For citation use: Honavar V. G., Yelick K., Nahrstedt K., Rushmeier H., Rexford J., Hill M. D., Bradley E., & Mynatt E. (2017) Advanced Cyberinfrastructure for Science, Engineering, and Public Policy https://cra.org/ccc/resources/ccc-led-whitepapers/
Democratizing Design for Future Computing Platforms
White Paper: Democratizing Design for Future Computing Platforms by Luis Ceze, Mark D. Hill, Karthikeyan Sankaralingam, and Thomas F. Wenisch. This paper discusses the opportunity for the US government to "unleash software-hardware innovation with programs to develop open hardware components, tools, and design flows that simplify and reduce the cost of hardware design," since "Such programs will speed development for startup companies, established industry leaders, education, scientific research, and for government intelligence and defense platforms."
For citation use: Ceze L., Hill M. D., Sankaralingam K., & Wenisch T. F. (2017) Democratizing Design for Future Computing Platforms https://cra.org/ccc/resources/ccc-led-whitepapers/
A Rural Lens on a Research Agenda for Intelligent Infrastructure
White Paper: A Rural Lens on a Research Agenda for Intelligent Infrastructure by Ellen Zegura, Beki Grinter, Elizabeth Belding, and Klara Nahrstedt. "In this paper, we argue for a set of coordinated actions to ensure that rural Americans are not left behind in this digital revolution. These technological platforms and applications, supported by appropriate policy, will address key issues in transportation, energy, agriculture, public safety and health. We believe that rather than being a set of needs, the rural United States presents a set of exciting possibilities for novel innovation benefiting not just those living there, but the American economy more broadly." This white paper is part of the CCC's Intelligent Infrastructure white paper series
For citation use: Zegura E., Grinter B., Belding E., Nahrstedt K. (2017) A Rural Lens on a Research Agenda for Intelligent Infrastructure. https://cra.org/ccc/resources/ccc-led-whitepapers/
Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System
White paper: Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System Shashi Shekhar, Joe Colletti, Francisco Muñoz-Arriola, Lakshmish Ramaswamy, Chandra Krintz, Lav Varshney, and Debra Richardson. Part of the CCC's Intelligent Infrastructure white paper series.
For citation use: Shekhar S., Colletti J., Muñoz-Arriola F., Ramaswamy L., Krintz C., Varshney L., & Richardson D. (2017) Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. https://cra.org/ccc/resources/ccc-led-whitepapers/
Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States
White Paper: Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States by Aranya Chakrabortty and Alex Huang (North Carolina StateUniversity). In this paper Chakrabortty and Huang argue for the need to switch to a truly digital electric grid in order to improve interoperability and data collection abilities. This white paper is part of the CCC's Intelligent Infrastructure white paper series
For citation use: Chakrabortty A. & Huang A. (2017) Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Aerial Earth Science
White paper on Aerial Earth Science by M. Ani Hsieh, Srikanth Saripalli, Gaurav Sukhatme, and Vijay Kumar from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Hseih M. A., Saripalli S., Sukhatme G., & Kumar V. (2015). Toward a Science of Autonomy for Physical Systems: Aerial Earth Science: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Challenges and Opportunities with Big Data
White Paper: Challenges and Opportunities with Big Data by Divyakant Agrawal et. al. This white paper focuses on the challenges and opportunities for applications of big data including factors such as acquisition, privacy, and interpretation.
For citation use: Agrawal D., Bernstein P., Bertino E., Davidson S., Dayal U., Franklin M., . . . . Widom J. (2012). Challenges and Opportunities with Big Data: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
A National Initiative in Emergency Informatics
White paper: A National Initiative in Emergency Informatics by Robin R. Murphy, Texas A&M University.
For citation use: Murphy R. R. (2010). A National Initiative in Emergency Informatics: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: A Global Enabler for the 21st Century
White paper: From Data to Knowledge to Action: A Global Enabler for the 21st Century by Eric Horvitz (Microsoft Research) and Tom Mitchell (Carnegie Mellon University). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Horvitz E. & Mitchell T. (2010). From Data to Knowledge to Action: A Global Enabler for the 21st Century: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling Personalized Education
White paper: From Data to Knowledge to Action: Enabling Personalized Education by Beverly Park Woolf (University of Massachusetts-Amherst), Ryan Baker (Worcester Polytechnic Institute), Erwin P. Gianchandani (Computing Research Association). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Woolf B. P., Baker R., & Gianchandani E. P. (2010). From Data to Knowledge to Action: Enabling Personalized Education: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling an Initiative in “New Biology”
White paper: From Data to Knowledge to Action: Enabling an Initiative in “New Biology” by Chase Hensel (Computing Research Association) and Erwin P. Gianchandani (Computing Research Association). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Hensel C. & Gianchandani E. P. (2010). From Data to Knowledge to Action: Enabling an Initiative in “New Biology”: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling Advanced Intelligence and Decision-Making for America’s Security
White paper: From Data to Knowledge to Action: Enabling Advanced Intelligence and Decision-Making for America’s Security by Randal E. Bryant (Carnegie Mellon University) Jaime G. Carbonell (Carnegie Mellon University) and Tom Mitchell (Carnegie Mellon University). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Bryant R. E., Carbonell J., & Mitchell T. (2010). From Data to Knowledge to Action: Enabling Advanced Intelligence and Decision-Making for America’s Security: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling 21st Century Discovery in Science and Engineering
White paper: From Data to Knowledge to Action: Enabling 21st Century Discovery in Science and Engineering by Eric Horvitz (Microsoft Research) and Tom Mitchell (Carnegie Mellon University).Part of the CCC's Big Data and National Priorities white paper series
For citation use: Horvitz E. & Mitchell T. (2010). From Data to Knowledge to Action: A Global Enabler for the 21st Century: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
The Imperative of Synthetic Biology: A Proposed National Research Initiative
White Paper:The Imperative of Synthetic Biology: A Proposed National Research Initiative by Drew Endy and Ed Lazowska. This white paper argues for United States government investment in the emerging field of synthetic biology.
For citation use: Endy D. & Lazowska E. (2008). The Imperative of Synthetic Biology: A Proposed National Research Initiative: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Other Resources
Catalyzing Computing Episode 28 – Global Security and Graph Analytics with Nadya Bliss (Part 2) Transcript
Transcript of Catalyzing Computing Episode 28: Global Security and Graph Analytics with Nadya Bliss (Part 2). Khari Douglas interviews Dr. Nadya Bliss, the Executive Director of Arizona State's Global Security Initiative and a CCC Council Member. Before joining ASU in 2012, Bliss spent 10 years at MIT's Lincoln Laboratory, most recently as a founding group leader of the Computing and Analytics Group. In this episode, she discusses the work of Arizona State University's Global Security Initiative, how to combat the spread of misinformation and the impact of sustainability on security.
Catalyzing Computing Episode 27 – Global Security and Graph Analytics with Nadya Bliss (Part 1) Transcript
Transcript of Catalyzing Computing Episode 27: Global Security and Graph Analytics with Nadya Bliss (Part 1). In this episode, Khari Douglas interviews Dr. Nadya Bliss, the Executive Director of Arizona State's Global Security Initiative and a CCC Council Member. Before joining ASU in 2012, Bliss spent 10 years at MIT's Lincoln Laboratory, most recently as a founding group leader of the Computing and Analytics Group. In this episode, she discusses her time at Lincoln Lab, what a federally funded research and development center does, and the history of graph analytics.
Catalyzing Computing – Interview with Keith Marzullo Part 1 Transcript
Transcript of Catalyzing Computing Episode 6: Interview with Keith Marzullo Part 1. Khari Douglas interviews Dr. Keith Marzullo, the Dean of the College of Information Studies at the University of Maryland, College Park. Dr. Marzullo joined the iSchool from the White House Office of Science and Technology Policy, where he directed the Networking and Information Technology Research and Development (NITRD) Program. In this episode, Dr. Marzullo discusses his research background, experience teaching, and his time spent in the federal government.
Victor Bahl – “Live Video Analytics: extracting actionable insights from cameras in the wild”
Victor Bahl's (Microsoft Research) presentation slides on Live Video Analytics: extracting actionable insights from cameras in the wild from the CCC's 2019 Wide-Area Data Analytics workshop.
Ion Stoica – “To edge, or not to edge, that’s the question – an outsider’s view”
Ion Stoica's (University of California, Berkeley) presentation slides on To edge, or not to edge, that's the question - an outsider's view from the CCC's 2019 Wide-Area Data Analytics workshop.
Lili Qiu – “Data Analytics for Wireless Communication and Sensing”
Lili Qiu's (University of Texas at Austin) presentation slides on Data Analytics for Wireless Communication and Sensing from the CCC's 2019 Wide-Area Data Analytics workshop.
Rachit Agarwal – Wide Area Data Analytics, Workshop Introduction
Rachit Agarwal's (Cornell University) workshop introduction slides from the CCC's 2019 Wide-Area Data Analytics workshop.
Shashi Shekhar – “Transforming Agriculture with Intelligent Infrastructure”
Shashi Shekhar's (University of Minnesota) Transforming Agriculture with Intelligent Infrastructure presentation slides from the CCC's Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Robin Murphy – “Robots, Emergency Management (EM), and People
Robin Murphy's (Texas A&M) Robots, Emergency Management (EM), and People presentation slides from the CCC's Rethinking Approaches to Disaster Management and Public Safety With Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Michael Dunaway – “Considerations for Public Safety in Smart & Connected Communities”
Michael Dunaway's (University of Louisiana at Lafayette) Considerations for Public Safety in Smart & Connected Communities presentation slides from the CCC's Rethinking Approaches to Disaster Management and Public Safety With Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Nalini Venkatasubramanian – “Enabling Resilient Situational Awareness in Disasters: A Cross-Layer Approach”
Nalini Venkatasubramanian's (UC Irvine) Enabling Resilient Situational Awareness in Disasters: A Cross-Layer Approach presentation slides from the CCC's Rethinking Approaches to Disaster Management and Public Safety With Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure – AAAS 2018
Introductory slides for the CCC'sTransforming Cities, Transportation, and Agriculture with Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
George Pappas – “The Future of Mobility Through Innovations in Intelligent Transportation Infrastructure”
George Pappas's (University of Pennsylvania) The Future of Mobility Through Innovations in Intelligent Transportation Infrastructure presentation slides from the CCC's Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Charlie Catlett – “Partnering with Cities on Urban Challenges and Opportunities to drive Urban Science”
Charlie Catlett's (Argonne National Laboratory) Partnering with Cities on Urban Challenges and Opportunities to drive Urban Science presentation slides from the CCC's Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure at the 2018 AAAS Annual meeting.
Symposium on AI for Social Good, AI for Sustainability and Public Health Transcript
Transcript of the AI for Sustainability and Public Health session of the CCC's AAAI Symposium on AI for Social Good featuring Carla Gomes (Cornell University) and Henry Kautz (University of Rochester). You can watch video of the session here.
AAAI/CCC Symposium on AI for Social Good – Overarching Discussion Transcript
Transcript of the Overarching Discussion from the CCC's AAAI Symposium on AI for Social Good featuring Amulya Yadav (University of Southern California) and Fei Fang (Carnegie Mellon University). You can watch video of the session here.
Symposium on AI for Social Good – AI in Healthcare Transcript
Transcript of the AI for Healthcare session of the CCC's AAAI Symposium on AI for Social Good featuring Erik Horvitz (Microsoft Research). You can watch video of the session here.
Symposium on AI for Social Good – AI for Urban Planning Transcript
Transcript of the AI for Urban Planning session of the CCC's AAAI Symposium on AI for Social Good featuring Virginia Dignum (Delft University of Technology). You can watch video of the session here.
Symposium on AI for Social Good – Computational Sustainability Transcript
Transcript of the Computational Sustainability session of the CCC's AAAI Symposium on AI for Social Good featuring Fei Fang (Carnegie Mellon University). You can watch video of the session here.
Symposium on AI for Social Good, AI for the Social Sciences Transcript
Transcript of the AI for the Social Sciences session of the CCC's AAAI Symposium on AI for Social Good featuring Eric Rice (USC School of Social Work) and Sharad Goel (Stanford University). You can watch video of the session here.
CCC Presentation on “Accelerating Science: A Grand Challenge for AI” to DARPA in March 2017
CCC Presentation on "Accelerating Science: A Grand Challenge for AI" to DARPA in March 2017. Presented by Vasant Honavar, Mark Hill, and Kathy Yelick.
Larisa Soldatava – “Reproducible Science”
Larisa Soldatav's (Brunel University London) Reproducible Science presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Michel Dumontier – “Advancing Discovery Science Predictive, Evidential and Meta Analytical Methods”
Michel Dumontier's (Stanford University) Advancing Discovery Science Predictive, Evidential and Meta Analytical Methods presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Peter Karp – “Accelerating Science with BioCyc and Computational Challenges from the Human Microbiome”
Peter Karp's (SRI International) Accelerating Science with BioCyc and Computational Challenges from the Human Microbiome presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Chandra Bhagavatula – “Accelerating Science: A Grand Challenge for AI”
Chandra Bhagavatula's (Allen Institute for Artificial Intelligence) Accelerating Science: A Grand Challenge for AI presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Charlotte Lee – “Understanding Scientific Collaboration”
Charlotte Lee's (University of Washington) Understanding Scientific Collaboration presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Kevin Crowston – “Humans, Machines, and the Future of Citizen Science”
Kevin Crowston's (Syracuse University) Humans, Machines, and the Future of Citizen Science presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Martin Apple – “Future Science: Emerging Roles of AI in Discovery”
Martin Apple's (Council of Scientific Society Presidents) Future Science: Emerging Roles of AI in Discovery presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Gully Burns – “Flipping the Light Switch: Using the Cambrian Explosion as a Metaphor for Accelerated Scientific Discovery”
Gully Burns' (Information Sciences Institute) Flipping the Light Switch: Using the Cambrian Explosion as a Metaphor for Accelerated Scientific Discovery presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Zoran Popovic – “Human-Computer Architecture for Scientific Discovery”
Zoran Popovic's (University of Washington) Human-Computer Architecture for Scientific Discovery presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Klara Nahrstedt – “Accelerating Science via Smart and Joint Cyber-Infrastructure for Materials and Semiconductor Fabrication Data and Metadata”
Klara Nahrstedt's (University of Illinois at Urbana-Champaign) Accelerating Science via Smart and Joint Cyber-Infrastructure for Materials and Semiconductor Fabrication Data and Metadata presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Yolanda Gil – “Hypothesis-Driven Data Analysis of Science Repositories”
Yolanda Gil's (University of Southern California) Hypothesis-Driven Data Analysis of Science Repositories presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Elias Bareinboim – “Causal Inference and the Data-Fusion Problem”
Elias Bareinboim (Purdue University) Causal Inference and the Data-Fusion Problem presentation slides from the CCC's 2017 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Rene Baston – “The Impact of Data Today”
Rene Baston's (Northeast Big Data Innovation Hub) The Impact of Data Today presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
James Evans and Feng (Bill) Shi – “Designing Discovery: Hypergraph Models of Innovation for Science & Technology”
James Evans (University of Chicago) and Feng (Bill) Shi's (UNC Chapel Hill) Designing Discovery: Hypergraph Models of Innovation for Science & Technology presentation slides from the CCC's 2016 AAAI Symposium on Accelerating Science: A Grand Challenge for AI.
Shai Halevi – “Computing with Encrypted Data and Programs”
Shai Halvei (IBM Research) presentation slides from the CCC's 2016 Computing Research Symposium.
From GPS and Virtual Globes to Spatial Computing – 2020
This report contains a series of white papers on spatial computation an its applications which includes disaster management, geoscience, and urban computing.
From GPS and Virtual Globes to Spatial Computing – 2020 Program
The program from the CCC From GPS and Virtual Globes to Spatial Computing – 2020 workshop.
Spatial Computing is a set of ideas and technologies that will transform our lives by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places.
Human-Computer Interaction/Graphics/Visualization
This section contains CCC resources related to human-computer interaction, graphics, and visualization.
To learn more about the CCC’s work in these areas visit the Human Technology Frontier task force page.
Workshop Reports
Content Generation for Workforce Training
The CCC held a visioning workshop on Content Generation for Workforce Training in Atlanta, GA in March 2019 to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop’s goal was to articulate research challenges and needs and to summarize the current state of the practice in this area. This workshop was in response to growing needs in the field and new research programs such as the National Science Foundation (NSF) Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities (FW-HTF).
Historically, materials such as books and movies were used in addition to hands-on experiences for education and practical training. Increasingly, various other types of computer generated media have been developed. Computer-driven simulators and augmented/virtual reality experience have been used in place of or as a complement to hands-on experiences. Computer networks aid in the rapid dissemination of these materials and frameworks. However, the authoring of this material is still a time-consuming process requiring specialized computing skills. The goal of this workshop is to examine how computational methods for content authoring can be revolutionized to allow educators to focus only on pedagogical and application specific issues in preparing new education and training materials. By simplifying the authoring of content, materials can be prepared more rapidly. The iterative improvement of materials can be enabled/enhanced. Further, by freeing educators from extraneous concerns, materials of higher quality can be prepared.
Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery
In the United States, 20.2 million adults or 8% of the population is estimated to suffer from a substance use disorder (SUD). SUDs include a wide array of substances such as alcohol, opioids, methamphetamine, and other substances and are characterized by an inability to decrease use, despite severe social, economic, and health-related consequences to the individual. In 2017, the US Department of Health & Human Services declared a public health emergency to combat what has been termed as “the opioid epidemic” and highlighted five critical strategies: 1) Improving access to treatment and recovery services; 2) Promoting use of overdose-reversing drugs; 3) Strengthening our understanding of the epidemic through better public health surveillance; 4) Providing support for cutting edge research on pain and addiction; and 5) Advancing better practices for pain management. Computational support may contribute to each of these strategies by mobilizing a new set of systems, algorithms, and tools to understand and combat substance use disorders. These technologies may provide scalable and accessible complementary approaches to traditional methods and services.
In November, 2019 the CCC held a workshop to the discuss opportunities and challenges to developing such computational support systems in Washington, D.C. A workshop report was released in June 2020.
Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction
The CCC's 1.5 day Sociotechnical Interventions for Health Disparity Reduction workshop took place in April 2018 in New Orleans, co-located with the Society for Behavioral Medicine’s 39th Annual Meeting.
This cross-disciplinary workshop, brought together leading researchers in computing, health informatics, and behavioral medicine to develop an integrative research agenda regarding sociotechnical interventions to reduce health disparities and improve the health of socio-economically disadvantaged populations. The workshop report addresses the discussions and conclusions from the workshop.
Authored by Katie Siek (Indiana University), Tiffany Veinot (University of Michigan), and Beth Mynatt (Georgia Tech).
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
CCC Cyber-Social Learning Systems Workshop 1 Narrative Summary
Narrative summary of the first Cyber Social Learning Systems (CSLS) workshop, in the three part series of workshops on the topic.
Computer-Aided Personalized Education
Workshop report from the 2015 Computer-Aided Personalized Education (CAPE) workshop. The goal of this workshop was to bring together researchers developing educational tools based on technologies such as logical reasoning and machine learning with researchers in education, human-computer interaction, and psychology to articulate a long-term research agenda. The focus was on college-level courses in computer science, mathematics, and physics. The report discusses the emerging trends in computer-aided personalized education and provides a roadmap for future research.
Promoting Strategic Research on Inclusive Access to Rich Online Content and Services
Workshop report from the 2015 Promoting Strategic Research on Inclusive Access to Rich Online Content and Services workshop. The workshop brought researchers and stakeholders from the disability community together with researchers from relevant areas of computing research (such as computer vision, or natural language processing) to identify strategic opportunities to solve pervasive accessibility challenges through computing. The report highlights the research opportunities and gaps in current research surrounding inclusive online content.
A U.S. Research Roadmap for Human Computation
Workshop report from the CCC's 2014 Human Computation Roadmap Summit. The workshop engaged a highly diverse group of world-class researchers and innovators in a 2.5 day workshop to explore the past and prospective impact of human computation and to clearly delineate the research areas and activities that will lead directly to the most beneficial national and societal outcomes. The report proposes new project ideas for human computation and proposes a set a questions for the next generation of human computation.
Multidisciplinary Research for Online Education
Workshop report from the 2013 Multidisciplinary Research for Online Education focused on addressing education-relevant research in areas such as intelligent student modeling through data mining, mobile computing for data logging, social networking, serious games, intelligent learning environments, HCI to facilitate educational interactions, computer-supported collaborative learning, interactive visualizations and simulations, and many other areas, to include research at the interface of computing and the social/behavioral sciences.
Science, Engineering, and Education of Sustainability: The Role of Information Sciences and Engineering
Workshop report from the CCC's 2011 Role of Information Sciences and Engineering in Sustainability that explored and define fundamental research challenges and applications of the information sciences and engineering in sustainability, including energy and transportation, and identified approaches to improving the smart grid and similar products and services.
A Roadmap for Education Technology
Workshop report from a series of workshops the CCC hosted on learning and education technology. The report considers some the greatest challenges and opportunities for education in the 21st century and how technology, specifically computing, can play a role.
Behavior, Computation and Networks in Human Subject Experimentation
The fundamental premise of the workshop is that the computer science, economics, game theory and sociology communities have been engaged for some time now in healthy and vibrant interaction on theoretical topics, and that the natural and most important next frontier is to introduce a behavioral and experimental component to this exchange.
White Papers
Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers
White Paper: Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers by Christina N. Harrington (DePaul University), Ben Jelen (Indiana University), Amanda Lazar (University of Maryland), Aqueasha Martin-Hammond (Indiana University Purdue University - Indianapolis), Alisha Pradhan (University of Maryland), Blaine Reeder (University of Missouri), and Katie Siek (Indiana University). Older adults should be involved in the design process of technology for them - from initial ideation to product development to deployment. This paper encourages federally funded researchers and industry to create compensated, diverse older adult advisory boards to address stereotypes about aging while ensuring their needs are considered.
For citation use: Harrington C., Jelen B., Lazar A., Martin-Hammond A., Pradhan A., Reeder B., and Siek K. (2021) Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers. https://cra.org/ccc/resources/ccc-led-whitepapers/#2020-quadrennial-papers
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
White Paper: Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research by Lea A. Shanley (University of Wisconsin-Madison; International Computer Science Institute, Berkeley, CA), Lucy Fortson (University of Minnesota), Tanya Berger-Wolf (The Ohio State University), Kevin Crowston (Syracuse University), Pietro Michelucci (Human Computation Institute). Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade. Nonetheless, humans possess unique abilities such as creativity, intuition, context and abstraction, analytic problem solving, and detecting unusual events. To successfully tackle pressing scientific and societal challenges, we need the complementary capabilities of both humans and machines.
For citation use: Shanley, L.A., Fortson, L., Berger-Wolf, T., Crowston, K., and Michelucci, M. (2021) Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. Washington: D.C.: Computing Community Consortium (CCC).
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
A Rural Lens on a Research Agenda for Intelligent Infrastructure
White Paper: A Rural Lens on a Research Agenda for Intelligent Infrastructure by Ellen Zegura, Beki Grinter, Elizabeth Belding, and Klara Nahrstedt. "In this paper, we argue for a set of coordinated actions to ensure that rural Americans are not left behind in this digital revolution. These technological platforms and applications, supported by appropriate policy, will address key issues in transportation, energy, agriculture, public safety and health. We believe that rather than being a set of needs, the rural United States presents a set of exciting possibilities for novel innovation benefiting not just those living there, but the American economy more broadly." This white paper is part of the CCC's Intelligent Infrastructure white paper series
For citation use: Zegura E., Grinter B., Belding E., Nahrstedt K. (2017) A Rural Lens on a Research Agenda for Intelligent Infrastructure. https://cra.org/ccc/resources/ccc-led-whitepapers/
The Importance of Computing Education Research
White PaperThe Importance of Computing Education Research by Steve Cooper, Jeff Forbes, Armando Fox, Susanne Hambrusch, Andrew Ko, and Beth Simon. This white paper addresses the current state and future needs of computer science education at multiple levels of education.
For citation use: Cooper S., Forbes J., Fox A., Hambrusch S., Ko A., & Simon B. (2016). The Importance of Computing Education Research: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling Personalized Education
White paper: From Data to Knowledge to Action: Enabling Personalized Education by Beverly Park Woolf (University of Massachusetts-Amherst), Ryan Baker (Worcester Polytechnic Institute), Erwin P. Gianchandani (Computing Research Association). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Woolf B. P., Baker R., & Gianchandani E. P. (2010). From Data to Knowledge to Action: Enabling Personalized Education: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Infrastructure for eScience and eLearning in Higher Education
White Paper: Infrastructure for eScience and eLearning in Higher Education by Ed Lazowska (University of Washington), Peter Lee (Carnegie Mellon University), Chip Elliott (BBN Technologies), and Larry Smarr (UCSD). This paper offers a series of recommendations for improving infrastructure for additional network and computing capability for eScience and Learning to enable new advances to take our nation into a new era of data-intensive scientific discovery.
For citation use: Lazowska E., Lee P., Elliott C., & Smarr L. (2008). Infrastructure for eScience and eLearning in Higher Education: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Other Resources
Catalyzing Computing Episode 34 – Health Informatics with Katie Siek (Part 2) Transcript
Transcript of Catalyzing Computing Episode 34: Health Informatics with Katie Siek (Part 2). Part two of Khari Douglas' (CCC Senior Program Associate) interview with Dr. Katie Siek, a professor in Informatics and the Chair of Informatics at Indiana University – Bloomington. Dr. Siek is interested in integrating pervasive technologies in health and wellness environments to study how technology affects interventions. Her research interests include human computer interaction, ubiquitous computing, and health informatics. In this episode Katie discusses health disparities and how computing technologies can play a role in their reduction, as well as the challenges to doing health informatics research in the field.
Catalyzing Computing Episode 33 – Health Informatics with Katie Siek (Part 1) Transcript
Transcript of Catalyzing Computing Episode 33: Health Informatics with Katie Siek (Part 1). I In this episode, Khari Douglas (CCC Senior Program Associate) interviews Dr. Katie Siek, a professor in Informatics and the Chair of Informatics at Indiana University – Bloomington. Dr. Siek is interested in integrating pervasive technologies in health and wellness environments to study how technology affects interventions. Her research interests include human computer interaction, ubiquitous computing, and health informatics. In this episode, Katie discusses health informatics, fitness trackers, data ownership, and aging in place.
Catalyzing Computing Episode 10 – Interview with Beth Mynatt Part 2 Transcript
Transcript of Catalyzing Computing Episode 10: Interview with Beth Mynatt Part 2. Khari Douglas interviews Dr. Beth Mynatt, the Executive Director of Georgia Tech’s Institute for People and Technology (IPaT), a College of Computing Distinguished Professor, and the Director of the Everyday Computing Lab. Dr. Mynatt discusses her research into human computer interaction and her work at IPaT and the GVU center.
Catalyzing Computing Episode 9 – Interview with Beth Mynatt Part 1 Transcript
Transcript of Catalyzing Computing Episode 9: Interview with Beth Mynatt Part 1. Khari Douglas interviews Dr. Beth Mynatt, the Executive Director of Georgia Tech’s Institute for People and Technology (IPaT), a College of Computing Distinguished Professor, and the Director of the Everyday Computing Lab. Dr. Mynatt discusses her research into human computer interaction and her work at IPaT and the GVU center.
Open-Source Exhibitions with Andreas Matt Transcript
This episode of the podcast is taken from a video interview with Andreas Matt, co-founder and CEO of IMAGINARY, a non-profit organization for the communication of modern mathematics. this interview was recorded as part of traversing separation with the Heidelberg Laureate Forum Foundation, a non-profit which was stablished in 2013 to foster mathematics and computer science. The foundation organizes the annual Heidelberg Laureate Forum (HLF), a networking conference where 200 outstanding young researchers in mathematics and computer science interact with the recipients of the most renowned prizes in the field. In this episode, Andreas Matt discusses IMAGINARY and managing open source exhibitions, as well as the impact of the pandemic with CCC Senior Program Associate Khari Douglas. The video version of the interview can be found on the Heidelberg Laureate Forum’s Youtube channel here.
Digital Learning with Peter Mirski Transcript
This episode of the podcast is taken from a video interview with Peter Mirski, the chair in Management and IT at the Management Center Innsbruck or MCI. This interview was recorded as part of traversing separation with the Heidelberg Laureate Forum Foundation, a non-profit which was established in 2013 to foster mathematics and computer science. The foundation organizes the annual Heidelberg Laureate Forum (HLF), a networking conference where 200 outstanding young researchers in mathematics and computer science interact with the recipients of the most renowned prizes in the fields. In this episode, Peter Mirski discusses digital learning — particularly with regards to the impact of the COVID-19 pandemic — with CCC Senior Program Associate Khari Douglas. The video version of the interview can be found on the Heidelberg Laureate Forum’s Youtube channel here.
Game-Based Learning and Integrated Photonics with Erik Verlage (Part 3) Transcript
Transcript of Catalyzing Computing Episode 25: Game-Based Learning and Integrated Photonics with Erik Verlage (Part 3). This is part 3 of Khari Douglas' interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode we discuss integrated photonics and how optical fibers work. If you're interested in playing one of the games mentioned on the podcast, you can reach Erik Verlage at everlage@mit.edu.
Sociotechnical Interventions for Health Disparity Reduction – CCC Briefing to the mPower Working Group
Presentation slides from the CCC's briefing on the Sociotechnical Interventions by Health Disparity Reduction worksop. Presentation by Tiffany Veinot (University of Michigan), Katie Siek (Indiana University & CCC Council) Elizabeth Mynatt (Georgia Tech & Former CCC Council) to the mPower working group .
Game-Based Learning and Integrated Photonics with Erik Verlage (Part 2) Transcipt
Transcript of Catalyzing Computing Episode 24: Game-Based Learning and Integrated Photonics with Erik Verlage (Part 2). This is part 2 of Khari Douglas' interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode, Erik continues to discuss building educational games and using games, virtual reality, and augmented reality for job training. If you're interested in playing one of the games mentioned on the podcast, you can reach Erik Verlage at everlage@mit.edu.
Game-Based Learning and Integrated Photonics with Erik Verlage (Part 1) Transcript
Transcript of Catalyzing Computing Episode 23: Game-Based Learning and Integrated Photonics with Erik Verlage (Part 1). This is part 2 of Khari Douglas' interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode, Erik continues to discuss building educational games and using games, virtual reality, and augmented reality for job training. If you're interested in playing one of the games mentioned on the podcast, you can reach Erik Verlage at everlage@mit.edu.
Catalyzing Computing – Content Generation for Workforce Training Transcript
Transcript of Catalyzing Computing Episode 8: Content Generation for Workforce Training. The Computing Community Consortium (CCC) held a visioning workshop in Atlanta, GA in March 2019 to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop’s goal was to articulate research challenges and needs and to summarize the current state of the practice in this area. This workshop is in response to growing needs in the field and new research programs such as the National Science Foundation (NSF) Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities (FW-HTF). In this episode of the Catalyzing Computing podcast, Khari Douglas sits down with workshop organizers Holly Rushmeier (Yale) and Beth Mynatt (Georgia Tech) to discuss the goals and outcomes of the event. Learn more about the Content Generation for Workforce Training workshop on the workshop webpage.
John Beieler – “AI Assurance and AI Security: Definitions and Future Directions”
Slides from John Beieler's (ODNI) "AI Assurance and AI Security: Definitions and Future Directions" presentation from the Detecting, Combating, and Identifying Dis and Mis-information scientific session at the 2020 AAAS Annual Meeting.
Patrick S. Schnable – “Advancing Plant Science with Predictive Models and Large-scale Phenotyping”
Slides from Patrick S. Schnable (Iowa State University) "Advancing Plant Science with Predictive Models and Large-scale Phenotyping" presentation from the Using Computing to Sustainably Feed a Growing Population scientific session at the 2020 AAAS Annual Meeting.
Health Disparities Deep Exploration Slides
Deep Exploration slides from the Tuesday afternoon session of the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Health Disparities Day 2 Breakout Slides
Summary slides from the Tuesday morning breakout groups at the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Madhu Reddy – “SocioTechnical Puzzle”
Madhu Reddy's (Northwestern University) presentation slides SocioTechnical Puzzle from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Tammy Toscos – “Messaging Cardiovascular Implantable Electronic Device (CIED) Remote Monitoring Data to Patients”
Tammy Toscos' (Parkview Health) presentation slides Messaging Cardiovascular Implantable Electronic Device (CIED) Remote Monitoring Data to Patients from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Sociotechnical Interventions for Health Disparity Reduction Lightning Intros
"Lighting" participant introduction slides from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Jasmin Tiro – “Process to Optimize Delivery of Interventions”
Jasmin Tiro's (University of Texas Southwest) presentation slides Process to Optimize Delivery of Interventions from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Sociotechnical Interventions for Health Disparity Reduction Opening Slides
Opening slides from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Lena Mamykina – “Theory and design in health”
Lena Mamykina's (Columbia University) presentation slides Theory and design in health from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Symposium on AI for Social Good, AI for Social Welfare Transcript
Transcript of the AI for Social Welfare session of the CCC's AAAI Symposium on AI for Social Good featuring Eric Rice (Rice University). You can watch video of the session here.
Cyber Social Learning Systems Workshop #2, Participant Introduction Slides
"Lighting" participant introduction slides from the second Cyber Social Learning Systems (CSLS) workshop, part of a three-part series of workshops on the topic.
Kevin Sullivan – “Take-Aways from WS#1”
Bill Griswold's (University of Virginia and workshop co-organizer)Take-Aways from WS#1 slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
William Stead – “Health Domain Panel Challenge Problems”
William Stead's (Vanderbilt University) Health Domain Panel Challenge Problems presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Brad Hesse – “Two “Wicked Problems” in Healthcare: The Case of Cancer”
Brad Hesse's (NIH) Two “Wicked Problems” in Healthcare: The Case of Cancerpresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Britte Cheng – “Modeling and Analyzing Education Systems: Two Applications for CSLS”
Britte Cheng's (SRI International) Modeling and Analyzing Education Systems: Two Applications for CSLSpresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Carolyn Rose – “Towards Socializing Intelligence in Urban Classrooms and other even more wicked problems…”
Carolyn Rose's (Carnegie Mellon University) Towards Socializing Intelligence in Urban Classrooms and other even more wicked problems...presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
George Siemens – “Two persistent systems level challenges”
George Siemens's (University of Texas at Arlington) Two persistent systems level challengespresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Jennifer Clark – “Making Smart Cities: The Design, Development, and Deployment of Cross-Platform, Service-Integrated, Technology “Products” into Cities”
Jennifer Clark's (Georgia Tech) Making Smart Cities: The Design, Development, and Deployment of Cross-Platform, Service-Integrated, Technology "Products" into Cities presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Bill Griswold – “Research Questions Prompted by the CitiSense Air Quality Monitoring System”
Bill Griswold's (UC San Diego) Research Questions Prompted by the CitiSense Air Quality Monitoring Systempresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Samuel V. Scarpino – “The Predictability Horizon”
Samuel Scarpino's (Northeastern University) The Predictability Horizonpresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Opening Remarks from the Visioning Workshop on Nanotechnology-inspired Information Processing Systems of the Future
These are the slides from the opening remarks to the 2016 Nanotechnology-inspired Information Processing Systems of the Future . The workshop report can be found here
Jonathan Silverstein – “Predictive Modeling Integrated in Healthcare, Toward the Learning Health System”
Jonathan Silverstein's (Kanter Health Foundation) Predictive Modeling Integrated in Healthcare, Toward the Learning Health System presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Tarek Abdelzaher – “Learning Social Signals in Cyber-Physical Systems The Social Macroscope”
Tarek Abdelzaher's (University of Illinois at Urbana Champaign) Learning Social Signals in Cyber-Physical Systems The Social Macroscope presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
William G. Griswold – “It’s (all about the) People! an example from the healthcare domain”
William Griswold's (Stevens Institute of Technology) It’s (all about the) People! an example from the healthcare domain presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
William B. Rouse – “Learning in Complex Systems”
William Rouse's (Stevens Institute of Technology) Learning in Complex Systems presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Charles P. Friedman – “CSLS History 101: What Led Us to This Event”
Charles Friedman's (University of Michigan and workshop co- organizer) CSLS History 101: What Led Us to This Event presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Lori Clarke – “Trustworthy Cyber Social Learning Systems”
Lori Clarke's (UMass Amherst) Trustworthy Cyber Social Learning Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Kevin Sullivan – “First CCC Workshop on Cyber-Social Learning Systems”
Kevin Sullivan's (University of Virginia and workshop co-organizer) First CCC Workshop on Cyber-Social Learning System introductory slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Elizabeth Churchill – “infrastructure a personal, meta-perspective”
Elizabeth Churchill's (Google) infrastructure a personal, meta-perspective presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Stephanie D. Teasley – “Cyber-Social Learning Systems: Higher Education”
Stephanie Teasley's (University of Michigan) Cyber-Social Learning Systems: Higher Education presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Learning/Unlearning In these exponential times! Honoring the tacit components in knowing
Workshop presentation slides on learning systems from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Ben Shneiderman – “The New ABCs of Research”
Ben Shneiderman's (University of Maryland) The New ABCs of Research presentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Cyber Social Learning Systems Workshop #1, Participant Introduction Slides
"Lighting" participant introduction slides from the Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Jennifer Clark – “Smart Cities and Connected Communities”
Jennifer Clark's (Georgia Tech) Smart Cities and Connected Communities presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Jim Spohrer – “Cyber-Social-Learning-Systems”
Jim Spohrer's (IBM) Cyber-Social-Learning-Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Bill Scherlis – “Assurance and Abstraction for Cyber Social Learning Systems”
Bill Scherlis' (Carnegie Mellon University) Assurance and Abstraction for Cyber Social Learning Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Cyber Social Learning Systems Workshop 2 Breakout Group Slides – “Trust and trustworthiness”
Presentation slides on "Trust and trustworthiness" from one of the breakout groups at the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Mary Czerwinski – “CCC 2016 Cyber Social Learning Systems”
Mary Czerwinski's (Microsoft Research) CCC 2016 Cyber Social Learning Systemspresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Rahul C. Basole – “Cyber Social Learning Systems: Observations & Reflections”
Rahul Basole's (Georgia Tech) Cyber Social Learning Systems: Observations & Reflections presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Lise Getoor – “CSLS Panel”
Lise Getoor's (UC Santa Cruz) presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Ben Shneiderman – “Design Tools for Governance in Cyber Social Systems: Community Formation/Management, Deliberation, Conflict Resolution”
Ben Shneiderman's (University of Maryland) Design Tools for Governance in Cyber Social Systems: Community Formation/Management, Deliberation, Conflict Resolution presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
CCC at AAAS 2016 Slides
This slide deck contains the three presentation from the CCC's 2016 The Confluence of Computing and Society: Emerging Themes in Socio-Technical Systems session at the AAAS annual meeting. It includes presentations from Greg Hager (Johns Hopkins), Elizabeth Mynatt (Georgia Tech), and Kentaro Toyama (University of Michigan).
“Research Interfaces between Brain Science and Computer Science”
This presentation by Jack Gallant (UC Berkeley), Polina Golland (MIT), Greg Hager (Johns Hopkins University) was part of a CCC briefing on the 2014 BRAIN workshop. This two-day workshop, sponsored by the Computing Community Consortium (CCC) and National Science Foundation (NSF), brought together brain researchers and computer scientists for a scientific dialogue aimed at exposing new opportunities for joint research in the many exciting facets, established and new, of the interface between the two fields. You can find the workshop report from the BRAIN workshop here.
From GPS and Virtual Globes to Spatial Computing – 2020
This report contains a series of white papers on spatial computation an its applications which includes disaster management, geoscience, and urban computing.
Eakta Jain, University of Florida
CCC Content Generation Workshop Slides
Steve Feiner, Columbia University
CCC Content Generation Workshop Slides
Yu, Weiss, Mousas
CCC Content Generation Workshop Slides
Chuck Spangler, SCMEP
CCC Content Generation Workshop Slides
Day 1 Opening Slides
CCC Content Generation Workshop Slides
Blair MacIntyre, GA Tech
CCC Content Generation Workshop Slides
Erik Verlage, MIT
CCC Content Generation Workshop Slides
Jeff Bertrand, Clemson University
CCC Content Generation Workshop Slides
Louise Yarnall, SRI Education
CCC Content Generation Workshop Slides
Greg Welch, University of Central Florida
CCC Content Generation Workshop Slides
Kapil Chalil Madathil, Clemson University
CCC Content Generation Workshop Slides
Jessica Hodgins, CMU
CCC Content Generation Workshop Slides
CCC Assured Autonomy Presentation to NRI PI meeting
CCC Assured Autonomy Presentation to NRI PI meeting Plenary
IoT/Ubiquitous
This section contains CCC resources related to the internet of things and ubiquitous computing.
For more information about the CCC’s work with IoT visit the Intelligent Infrastructure page or the past task forces on Computing in the Physical World and Healthcare.
Workshop Reports
Grand Challenges for Embedded Security Research in a Connected World
In August of 2018 the CCC held the one day Leadership in Embedded Security visioning workshop. Embedded systems such as pacemakers, autonomous vehicles, and the Internet of Things often have real-time constraints and electromechanical components that lead to qualitatively different vulnerabilities and solutions from traditional computing systems. Embedded security is the study of physical properties, computational properties, and human factors to protect such embedded systems from attack. The workshop was organized by former CCC Council Member Kevin Fu (University of Michigan), Wayne Burleson (UMass Amherst), and Farinaz Koushanfar (UC, San Diego).
The workshop brought together around fifty academics, industrial researchers, and government agency program managers who work close to the topic of embedded security. The workshop included deep dive group discussions as well as short visionary talks by several international speakers to lend perspectives on successful strategies for funding embedded security research overseas. The report, titled Grand Challenges for Embedded Security Research in a Connected World, focuses on the challenges and potential research opportunities across five major areas of embedded security:
- Medical and health devices,
- Drones and transportation,
- Smart homes,
- Industry and supply-chain,
- The smart grid and critical infrastructure.
Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery
In the United States, 20.2 million adults or 8% of the population is estimated to suffer from a substance use disorder (SUD). SUDs include a wide array of substances such as alcohol, opioids, methamphetamine, and other substances and are characterized by an inability to decrease use, despite severe social, economic, and health-related consequences to the individual. In 2017, the US Department of Health & Human Services declared a public health emergency to combat what has been termed as “the opioid epidemic” and highlighted five critical strategies: 1) Improving access to treatment and recovery services; 2) Promoting use of overdose-reversing drugs; 3) Strengthening our understanding of the epidemic through better public health surveillance; 4) Providing support for cutting edge research on pain and addiction; and 5) Advancing better practices for pain management. Computational support may contribute to each of these strategies by mobilizing a new set of systems, algorithms, and tools to understand and combat substance use disorders. These technologies may provide scalable and accessible complementary approaches to traditional methods and services.
In November, 2019 the CCC held a workshop to the discuss opportunities and challenges to developing such computational support systems in Washington, D.C. A workshop report was released in June 2020.
Algorithmic and Economic Perspectives on Fairness
In May 2019, the CCC held the 1.5-day Economics and Fairness visioning workshop in Cambridge, Massachusetts, which brought together computer science researchers with backgrounds in algorithmic decision-making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world. The workshop was organized by David Parkes (Harvard University, CCC Council) and Rakesh Vohra (University of Pennsylvania), with the support of the CCC’s Fairness and Accountability Task Force
The report highlights the current trends and uses of algorithmic decision making systems, such as credit scoring, resume screening, and recommendation systems; the central concepts needed to evaluate the fairness and equity of such data-based systems; and the outstanding computing research challenges needed to tackle these kinds of problems. Unfortunately, as the report notes, “At present, there is a paucity of work that seeks to quantify the effect on outcomes across the many domains where we will see automated decision making. Measuring the effect of an algorithm on an outcome is inherently difficult because decisions made (or influenced) by an algorithm may have happened identically in the absence of the algorithm.”
Community Roadmap for AI Research
In fall 2018, the Computing Community Consortium (CCC) started a new initiative to create a Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President-Elect of AAAI). A series of three workshops were held in the Fall/Winter of 2018/2019, with the goal of identifying challenges, opportunities, and pitfalls, and create a compelling report that will effectively inform future federal priorities—including future AI R&D Investments. The final report is now available. Learn more about the process of creating the workshop report here.
Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction
The CCC's 1.5 day Sociotechnical Interventions for Health Disparity Reduction workshop took place in April 2018 in New Orleans, co-located with the Society for Behavioral Medicine’s 39th Annual Meeting.
This cross-disciplinary workshop, brought together leading researchers in computing, health informatics, and behavioral medicine to develop an integrative research agenda regarding sociotechnical interventions to reduce health disparities and improve the health of socio-economically disadvantaged populations. The workshop report addresses the discussions and conclusions from the workshop.
Authored by Katie Siek (Indiana University), Tiffany Veinot (University of Michigan), and Beth Mynatt (Georgia Tech).
Artificial Intelligence Roadmap Executive Summary
In fall 2018, the Computing Community Consortium (CCC) started a new initiative to create a Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University). A series of three workshops were held in the Fall/Winter of 2018/2019, which resulted in a Roadmap produced in the Spring of 2019. The goal of the initiative was to identify challenges, opportunities, and pitfalls, and create a compelling report that will effectively inform future federal priorities—including future AI R&D Investments. This effort is similar to one of the CCC’s first activities, the Robotics Roadmap, which helped to launch the National Robotics Initiative in 2011 and the subsequent 2016 Robotics Roadmap and NRI 2.0. This Executive Summary provides an overview of the roadmap, which is now available here.
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
Promoting Strategic Research on Inclusive Access to Rich Online Content and Services
Workshop report from the 2015 Promoting Strategic Research on Inclusive Access to Rich Online Content and Services workshop. The workshop brought researchers and stakeholders from the disability community together with researchers from relevant areas of computing research (such as computer vision, or natural language processing) to identify strategic opportunities to solve pervasive accessibility challenges through computing. The report highlights the research opportunities and gaps in current research surrounding inclusive online content.
Computing and Healthcare: New Opportunities and Directions
This report was the product of the CCC's 2012 Computing and Healthcare: New Opportunities and Directions workshop. "Panel presentations and discussions were organized to frame the three themes of the symposium. Subsequent breakout groups discussed a variety of more focused topics, all with the goal of answering four key questions: 1) What are underecognized, poorly understood or unrealized opportunities for enhancing healthcare using advances in computing coupled with system-scale (re)engineering? 2) What are fundamental technical and non-technical barriers to making progress on the above? 3) What are the basic and applied scientific questions that these barriers pose? 4) How can we measure progress, and what “instrumentation” of the healthcare system would be necessary to measure that progress?" The report summarizes the conversation and conclusions around these questions.
Computing for Disasters Executive Summary
Executive Summary from the CCC's 2012 Computing for Disaster workshop report. You can read the full workshop report, titled CRICIS: Critical Real-time Computing and Information Systems here.
CRICIS: Critical Real-time Computing and Information Systems
The CRICIS report is the workshop report from the CCC's 2014 Computing for Disaster Management Workshop. This report was produced by the steering committee for the workshop, comprising: Robin Murphy, co-chair, Texas A&M University, et al. View page 25 of the report for the full list of authors.
Science, Engineering, and Education of Sustainability: The Role of Information Sciences and Engineering
Workshop report from the CCC's 2011 Role of Information Sciences and Engineering in Sustainability that explored and define fundamental research challenges and applications of the information sciences and engineering in sustainability, including energy and transportation, and identified approaches to improving the smart grid and similar products and services.
CCC Workshop on Computer Science and Global Development
On August 1-2, 2009, approximately fifty participants gathered in Berkeley to discuss the future of Computer Science research supporting global socio- economic development. Over a rich two days of discussion, deliberation and decision-making, we arrived at some major decisions, identified contentious points for further discussion, and decided on next steps for the community. These outcomes are summarized in this document.
Cyber-Physical Systems Summit Report
This workshop report is the output of the CCC's 2009 workshops on Cyber-Physical Systems (CPS). The CPS Summit built on the results of a series of NITRD and NSF Workshops exploring trends and key aspects of this emerging area. This report describes in detail the discussions held during the summit.
White Papers
Research Opportunities and Visions for Smart and Pervasive Health
Research Opportunities and Visions for Smart and Pervasive Health by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
Smart Wireless Communication is the Cornerstone of Smart Infrastructures
White paper: Smart Wireless Communication is the Cornerstone of Smart Infrastructures by Mary Ann Weitnauer, Jennifer Rexford, Nicholas Laneman, Matthieu Bloch, Santiago Griljava, Catherine Ross, and Gee-Kung Chang. Part of the CCC's Intelligent Infrastructure white paper series.
For citation use: Weitnauer M. A., Laneman N., Bloch M., Griljava S., Ross C., & Chang G. (2017) Smart Wireless Communication is the Cornerstone of Smart Infrastructures. https://cra.org/ccc/resources/ccc-led-whitepapers/
Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things
White Paper: Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things by Kevin Fu, Tadayoshi Kohno, Daniel Lopresti, Elizabeth Mynatt, Klara Nahrstedt, Shwetak Patel, Debra Richardson, and Ben Zorn.
For citation use: Fu K., Kohno T., Lopresti D., Mynatt E., Nahrstedt K., Patel S., Richardson D., & Zorn B. (2017). Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things. http://cra.org/ccc/resources/ccc-led-whitepapers/
Research Agenda in Intelligent Infrastructure to Enhance Disaster Management, Community Resilience and Public Safety
White paper: Research Agenda in Intelligent Infrastructure to Enhance Disaster Management, Community Resilience and Public Safety Michael Dunaway, Robin Murphy, Nalini Venkatasubramanian, Leysia Palen, and Daniel Lopresti. This paper highlights the potential benefits of intelligent infrastructure for disaster management systems and outlines a research agenda to realize those benefits. Part of the CCC's Intelligent Infrastructure white paper series.
For citation use: Dunaway M., Murphy R., Venkatasubramanian N., Palen L., & Lopresti D. (2017) Research Agenda in Intelligent Infrastructure to Enhance Disaster Management, Community Resilience and Public Safety. https://cra.org/ccc/resources/ccc-led-whitepapers/
MOBILITY21: Strategic Investments for Transportation Infrastructure & Technology
White paper: MOBILITY21: Strategic Investments for Transportation Infrastructure & Technology Rahul Mangharam, Megan Reyerson, Steve Viscelli, Hamsa Balakrishanan, Alexandre Bayen, Surabh Amin, Leslie Richards, Leo Bagley, and George Pappas. This paper addresses the requirements of the American transportation system for autonomous and intelligent systems. Part of the CCC's Intelligent Infrastructure white paper series.
For citation use: Mangharam R., Reyerson M., Viscelli S., Balakrishanan H., Bayen A., Amin S., Richards L., Bagley L., & Pappas G. (2017) MOBILITY21: Strategic Investments for Transportation Infrastructure & Technology. https://cra.org/ccc/resources/ccc-led-whitepapers/
Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States
White paper: Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States Aranya Chakrabortty and Alex Huang. This paper addresses the requirements of the American transportation system for autonomous and intelligent systems. Part of the CCC's Intelligent Infrastructure white paper series.
For citation use: Chakrabortty A. & Huang A. (2017)Digital Grid: Transforming the Electric Power Grid into an Innovation Engine for the United States. https://cra.org/ccc/resources/ccc-led-whitepapers/
A National Research Agenda for Intelligent Infrastructure
White paper: A National Research Agenda for Intelligent Infrastructure by Elizabeth Mynatt, Jennifer Clark, Greg Hager, Dan Lopresti, Greg Morrisett, Klara Nahrstedt, George Pappas, Shwetak Patel, Jennifer Rexford, Helen Wright, and Ben Zorn. The lead paper in the CCC's Intelligent Infrastructure white paper series.
For citation use: Mynatt E., Clark J., Hager G., Lopresti D., Morrisett G., Narhstedt K., Pappas G., Patel S., Rexford J., Wright H., & Zorn B. (2017) A National Research Agenda for Intelligent Infrastructure. https://cra.org/ccc/resources/ccc-led-whitepapers/
Safety and Security for Intelligent Infrastructure
White paper: Safety and Security for Intelligent Infrastructure byKevin Fu, Ann Drobnis, Greg Morrisett, Elizabeth Mynatt, Shwetak Patel, Radha Poovendran, and Ben Zorn. Part of the CCC's Intelligent Infrastructure white paper series, this paper addresses the safety and security threats to intelligent infrastructure systems.
For citation use: Fu K., Drobnis A., Morrisett G., Mynatt E., Patel S., Poovendran R., & Zorn B. (2017) Safety and Security for Intelligent Infrastructure. https://cra.org/ccc/resources/ccc-led-whitepapers/
City Scale Intelligent Systems and Platforms
White paper: City-Scale Intelligent Systems and Platforms by Klara Nahrstedt, Christos G. Cassandras, and Charlie Catlett. Part of the CCC's Intelligent Infrastructure white paper series, and discusses the intelligent infrastructure needs of a "Smart City".
For citation use: Nahrstedt K., Cassandras C., & Catlett C. (2017) City-Scale Intelligent Systems and Platforms. https://cra.org/ccc/resources/ccc-led-whitepapers/
Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System
White paper: Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System Shashi Shekhar, Joe Colletti, Francisco Muñoz-Arriola, Lakshmish Ramaswamy, Chandra Krintz, Lav Varshney, and Debra Richardson. Part of the CCC's Intelligent Infrastructure white paper series.
For citation use: Shekhar S., Colletti J., Muñoz-Arriola F., Ramaswamy L., Krintz C., Varshney L., & Richardson D. (2017) Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. https://cra.org/ccc/resources/ccc-led-whitepapers/
Executive Summary: Research Opportunities and Visions for Smart and Pervasive Health
Executive Summary from the Research Opportunities and Visions for Smart and Pervasive Health white paper by Elizabeth Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak Patel, Jack Stankovic, and Helen Wright was the product of the 2016 Discovery and Innovation in Smart and Pervasive Health.This paper discusses the potential of smart and pervasive health and healthcare approaches, and the challenges and requirements necessary to make such systems a reality.
For citation use: Mynatt E., Hager G. D., Santosh K., Lin M., Patel S., Stankovic J., & Wright H. (2017) Research Opportunities and Visions for Smart and Pervasive Health https://cra.org/ccc/resources/ccc-led-whitepapers/
Smart Communities Internet of Things
White Paper: Smart Communities Internet of Things by Klara Nahrstedt, Daniel Lopresti, Ben Zorn, Ann W. Drobnis, Beth Mynatt, Shwetak Patel, and Helen V. Wright. "In this white paper, we discuss the benefits and challenges of cyber-technologies within “Smart Cities”, especially the IoT (Internet of Things) for smart communities, which means considering the benefits and challenges of IoT cyber-technologies on joint smart cities physical infrastructures and their human stakeholders. To point out the IoT challenges, we will first present the framework within which IoT lives, and then proceed with the challenges, conclusions and recommendations."
For citation use: Nahrstedt K., Lopresti D., Zorn B., Drobnis A. W., Mynatt B., Patel S., & Wright H. V. (2016). Smart Communities Internet of Things: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Systems Computing Challenges in the Internet of Things
White Paper: Systems Computing Challenges in the Internet of Things by Rajeev Alur, Emery Berger, Ann W. Drobnis, Limor Fix, Kevin Fu, Gregory D. Hager, Daniel Lopresti, Klara Nahrstedt, Elizabeth Mynatt, Shwetak Patel, Jennifer Rexford, John A. Stankovic, and Benjamin Zorn. "In this paper we argue that existing best practices in building robust and secure systems are insufficient to address the new challenges that IoT systems will present. We provide recommendations regarding investments in research areas that will help address inadequacies in existing systems, practices, tools, and policies. The goal of this white paper is to consider the core software, systems, and networking technology shifts created by the IoT trend and try to anticipate the major challenges such systems face in terms of usability, performance, security, and reliability."
For citation use: Alur R., Berger E., Drobnis A. W., Fix L., Fu K., Hager G. D., . . . Zorn B. (2015). Systems Computing Challenges in the Internet of Things: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Healthcare
White paper on autonomous healthcare systems by Gregory D. Hager and Erik Horvitz from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Hager G. D. & Horvitz E. (2015). Toward a Science of Autonomy for Physical Systems: Healthcare: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Paths Toward Autonomy
White paper on Autonomous Physical Systems (APS) by Pieter Abbeel, Ken Goldberg, Gregory Hager, and Julie Shah from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Abbeel P., Goldberg K., Hager G., & Shah J. (2015). Toward a Science of Autonomy for Physical Systems: Paths Toward Autonomy: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems
Overview white paper on the science of autonomy for physical systems by Gregory D. Hager, Daniela Rus, Vijay Kumar, and Henrik Christensen from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Hager G. D., Rus D., Kumar V., & Christensen H. (2015). Toward a Science of Autonomy for Physical Systems: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Aerial Earth Science
White paper on Aerial Earth Science by M. Ani Hsieh, Srikanth Saripalli, Gaurav Sukhatme, and Vijay Kumar from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Hseih M. A., Saripalli S., Sukhatme G., & Kumar V. (2015). Toward a Science of Autonomy for Physical Systems: Aerial Earth Science: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Disaster
White paper on autonomous disaster systems by Robin Murphy from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Murphy R. (2015). Toward a Science of Autonomy for Physical Systems: Disaster: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Service
White paper on autonomous service robots by Peter Allen and Henrik I. Christensen from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Allen P. & Christensen H. (2015). Toward a Science of Autonomy for Physical Systems: Service: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Transportation
White paper on autonomous transportation systems by Daniel Lee and Sebastian Pokutta from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Lee D. & Pokutta S. (2015). Toward a Science of Autonomy for Physical Systems: Transportation: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Toward a Science of Autonomy for Physical Systems: Defense
White paper on defense systems by Ronald C. Arkin and Gaurav S. Sukhatme from the 2015 Toward a Science of Autonomy for Physical Systems white paper series.
For citation use: Arkin R. & Sukhatme G. S. (2015). Toward a Science of Autonomy for Physical Systems: Defense: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Video Analysis for Body-worn Cameras in Law Enforcement
White paper: Video Analysis for Body-worn Cameras in Law Enforcement by Jason J. Corso, Alexandre Alahi, Kristen Grauman, Gregory D. Hager, Louis-Philippe Morency, Harpreet Sawhney, Yaser Sheikh. This paper discusses the potential body-cameras have to law enforcement and a timeline for key research developments.
For citation use: Corso J. C., Alahi A., Grauman K., Hager G. D., Morency L., Sawhney H., & Sheikh Y. (2015). Video Analysis for Body-worn Cameras in Law Enforcement: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Trans-NIH/Interagency Workshop on the Use and Development of Assistive Technology for the Aging Population and People with Chronic Disabilities
This white paper was the output of the CCC's 2014 Aging in Place workshop. This workshop brought together needed interdisciplinary expertise, assess the state of the science at the human, medical, and technology levels, and articulate a research vision for a systems engineering approach to the development of technologies and solutions to support the home management of persons with significant chronic diseases and their family care providers. The white paper discusses the research, design and engineering challenges in the space of assisting technologies.
A National Initiative in Emergency Informatics
White paper: A National Initiative in Emergency Informatics by Robin R. Murphy, Texas A&M University.
For citation use: Murphy R. R. (2010). A National Initiative in Emergency Informatics: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling the Smart Grid
White paper: From Data to Knowledge to Action: Enabling the Smart Grid by Randal E. Bryant (Carnegie Mellon University) Randy H. Katz (UC Berkeley) Chase Hensel (Computing Research Association) and Erwin P. Gianchandani (Computing Research Association). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Bryant R. E., Katz R. H., Hensel C., & Gianchandani E. P. (2010). From Data to Knowledge to Action: Enabling the Smart Grid: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Predictions and Decisions: Enabling Evidence-Based Healthcare
White Paper: From Data to Predictions and Decisions: Enabling Evidence-Based Healthcare by Eric Horvitz (Microsoft Research). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Horvitz E. (2010). From Data to Knowledge to Action: Enabling Evidence-Based Healthcare: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling a Revolution in New Transportation
White Paper: From Data to Knowledge to Action: Enabling a Revolution in New Transportation by Sebastian Thrun (Stanford University), Chase Hensel (Computing Research Assocation), Erwin P. Gianchandani (Computing Research Association). Part of the CCC's Big Data and National Priorities white paper series this white paper discusses the ability of technology to renovate transportation in the US.
For citation use: Thrun S., Hensel C., Gianchandani E. (2010). From Data to Knowledge to Action: Enabling a Revolution in New Transportation: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
From Data to Knowledge to Action: Enabling an Initiative in “New Biology”
White paper: From Data to Knowledge to Action: Enabling an Initiative in “New Biology” by Chase Hensel (Computing Research Association) and Erwin P. Gianchandani (Computing Research Association). Part of the CCC's Big Data and National Priorities white paper series
For citation use: Hensel C. & Gianchandani E. P. (2010). From Data to Knowledge to Action: Enabling an Initiative in “New Biology”: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Information Technology Research Challenges for Healthcare: From Discovery to Delivery
White paper: Information Technology Research Challenges for Healthcare: From Discovery to Delivery by Susan Graham, Deborah Estrin, Eric Horvitz, Isaac Kohane, Elizabeth Mynatt, and Ida Sim. This paper describes "some of the opportunities to enhance wellness, healthcare, and theclinical sciences, and the research challenges that must be met to realize those opportunities" with "emphasis is on transformative changes and new directions."
For citation use: Graham S., Estrin D., Horvitz E., Kohane I., Mynatt E., & Sim I. (2010). Information Technology Research Challenges for Healthcare: From Discovery to Delivery: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Information Technology and America’s Energy Future
White Paper: Information Technology and America’s Energy Future by David Waltz (Columbia University) and John King (University of Michigan). This white paper describes the impact of IT on specific energy opportunities, suggests energy ‐ related research involving IT (including fundamental studies of the energy efficiency of computation), and outlines a strategy for moving forward.
For citation use: Waltz D. & King J. (2009). Information Technology and America’s Energy Future: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Unleashing Waves of Innovation Transformative Broadband for America’s Future
White Paper: Unleashing Wave of Innovation: Transformative Broadband for America’s Future by Ed Lazowska (University of Washington) et. al. This white paper proposes "an aggressive national broadband strategy that tightly couples innovation in our colleges and universities to a rapid upgrading of our commercial broadband infrastructure."
For citation use: Lazowska E., Smarr L., Lee P., Elliott C., West T., Van Houweling D., . . . Lance T. (2009). Unleashing Wave of Innovation: Transformative Broadband for America’s Future: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Surface Transportation 3.0
White Paper: em>Surface Transportation 3.0 by Sebastian Thrun (Stanford University), and Henry Kelly (Federation of American Scientists). This paper proposes the creation of a "Surface Transportation 3.0" using modern computing technology.
For citation use: Thrun S. & Kelly H. (2009). Surface Transportation 3.0: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Infrastructure for eScience and eLearning in Higher Education
White Paper: Infrastructure for eScience and eLearning in Higher Education by Ed Lazowska (University of Washington), Peter Lee (Carnegie Mellon University), Chip Elliott (BBN Technologies), and Larry Smarr (UCSD). This paper offers a series of recommendations for improving infrastructure for additional network and computing capability for eScience and Learning to enable new advances to take our nation into a new era of data-intensive scientific discovery.
For citation use: Lazowska E., Lee P., Elliott C., & Smarr L. (2008). Infrastructure for eScience and eLearning in Higher Education: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Cyber-Physical Systems: A National Priority for Federal Investment in Infrastructure and Competitiveness
White Paper: Cyber-Physical Systems: A National Priority for Federal Investment in Infrastructure and Competitiveness by Janos Sztipanovits (Vanderbilt University), and John Stankovic (University of Virginia). This paper provides a roadmap for national investment in a multi-agency initiative to expand cyber-physical systems research.
For citation use: Sztipanovits J. & Stankovic J. (2008). Cyber-Physical Systems: A National Priority for Federal Investment in Infrastructure and Competitiveness: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
“Smart Grid”: R&D for an Intelligent 21st Century Electrical Energy Distribution Infrastructure
White Paper: “Smart Grid”: R&D for an Intelligent 21st Century Electrical Energy Distribution Infrastructure by Randy H. Katz (UC Berkeley). This white paper addresses the need for smart grid technologies in the US electrical distribution infrastructure.
For citation use: Katz R. H. (2008). “Smart Grid”: R&D for an Intelligent 21st Century Electrical Energy Distribution Infrastructure: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Quality of Life Technology
White Paper: Quality of Life Technology by Howard Wactlar (Carnegie Mellon University) and Takeo Kanade (Carnegie Mellon University) that highlights how a Quality of Life Technology Initiative could transform lives in large and growing segments of our population – people with reduced functional capabilities due to aging, disability or chronic disease.
For citation use: Wactlar H. & Kanade T. (2008). Quality of Life Technology: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
[WpBibTeX type="article" title="Comparison among dimensionality reduction techniques based on Random Projection for cancer classification" author="Xie, Haozhe and Li, Jie and Zhang, Qiaosheng and Wang, Yadong" journal="Computational biology and chemistry" year="2016" pages="165–172" publisher="Elsevier" volume="65" url="http://infinitescript.com/wordpress/wp-content/uploads/publications/xie2016comparison.pdf" note="(IF=1.014)"]P4 Medicine: Personalized, Predictive, Preventive, Participatory A Change of View that Changes Everything
White Paper: P4 Medicine: Personalized, Predictive, Preventive, Participatory A Change of View that Changes Everything by Leroy Hood (Institute for Systems Biology) and David Galas (Battelle Memorial Institute). "The convergence of systems approaches to disease, new measurement and visualization technologies, and new computational and mathematical tools can be expected to allow our current, largely reactive mode of medicine, where we wait until the patient is sick before responding, to be replaced over the next 10 to 20 years by a personalized, predictive, preventive, and participatory (P4) medicine that will be cost effective and increasingly focused on wellness."
For citation use: Hood L. & Galas D. (2008). P4 Medicine: Personalized, Predictive, Preventive, Participatory: A Change of View that Changes Everything: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Green jobs in a blue world: Measuring change and managing opportunity in the world oceans
White Paper: Green jobs in a blue world: Measuring change and managing opportunity in the world oceans by John Delaney (University of Washington), John Orcutt (Scripps Institute of Oceanography), and Robert Weller (Woods Hole Oceanographic Institution). "The oceanographic community is ready to transform how the public and how science sees the oceans, via the Ocean Observatories Initiative (OOI) – an initiative that will create new jobs, spur new enterprises and technological innovation, and launch a new era of science in the environment. The OOI will extend the Internet to the sea floor. This communication advance will allow thousands of chemical, physical, and biological sensors to stream enormous volumes of data back to shore."
For citation use: Delaney J., Orcutt J., & Weller R. (2008). Green Jobs in a Blue World: Measuring Change and Managing Opportunity in the World Oceans: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Other Resources
Catalyzing Computing Episode 14 – Interview with Dan Lopresti Part 2 Transcript
Transcript of Catalyzing Computing Episode 14: Interview with Dan Lopresti Part 2. This is part 2 of Khari Douglas’ interview with Dr. Daniel Lopresti, the Chair of the Department of Computer Science and Engineering and the Director of the Data X strategic initiative at Lehigh University. In this episode Dr. Lopresti discusses a few of the courses he is currently teaching, the Code 8.7 conference on using AI and computational science to end modern slavery, and the work of the CCC’s Intelligent Infrastructure task force.
Catalyzing Computing Episode 34 – Health Informatics with Katie Siek (Part 2) Transcript
Transcript of Catalyzing Computing Episode 34: Health Informatics with Katie Siek (Part 2). Part two of Khari Douglas' (CCC Senior Program Associate) interview with Dr. Katie Siek, a professor in Informatics and the Chair of Informatics at Indiana University – Bloomington. Dr. Siek is interested in integrating pervasive technologies in health and wellness environments to study how technology affects interventions. Her research interests include human computer interaction, ubiquitous computing, and health informatics. In this episode Katie discusses health disparities and how computing technologies can play a role in their reduction, as well as the challenges to doing health informatics research in the field.
Catalyzing Computing Episode 33 – Health Informatics with Katie Siek (Part 1) Transcript
Transcript of Catalyzing Computing Episode 33: Health Informatics with Katie Siek (Part 1). I In this episode, Khari Douglas (CCC Senior Program Associate) interviews Dr. Katie Siek, a professor in Informatics and the Chair of Informatics at Indiana University – Bloomington. Dr. Siek is interested in integrating pervasive technologies in health and wellness environments to study how technology affects interventions. Her research interests include human computer interaction, ubiquitous computing, and health informatics. In this episode, Katie discusses health informatics, fitness trackers, data ownership, and aging in place.
Catalyzing Computing Episode 10 – Interview with Beth Mynatt Part 2 Transcript
Transcript of Catalyzing Computing Episode 10: Interview with Beth Mynatt Part 2. Khari Douglas interviews Dr. Beth Mynatt, the Executive Director of Georgia Tech’s Institute for People and Technology (IPaT), a College of Computing Distinguished Professor, and the Director of the Everyday Computing Lab. Dr. Mynatt discusses her research into human computer interaction and her work at IPaT and the GVU center.
Catalyzing Computing Episode 9 – Interview with Beth Mynatt Part 1 Transcript
Transcript of Catalyzing Computing Episode 9: Interview with Beth Mynatt Part 1. Khari Douglas interviews Dr. Beth Mynatt, the Executive Director of Georgia Tech’s Institute for People and Technology (IPaT), a College of Computing Distinguished Professor, and the Director of the Everyday Computing Lab. Dr. Mynatt discusses her research into human computer interaction and her work at IPaT and the GVU center.
Grand Challenges for Embedded Security Research In a Connected World – CCC Briefing to the NITRD CSIA IWG
Presentation slides from the CCC's briefing on the Leadership in Embedded Security workshop to the NITRD CSIA IWG.. Presentation by Kevin Fu (University of Michigan & Former CCC Council), Wayne Burleson (University of Massachusetts Amherst).
Game-Based Learning and Integrated Photonics with Erik Verlage (Part 3) Transcript
Transcript of Catalyzing Computing Episode 25: Game-Based Learning and Integrated Photonics with Erik Verlage (Part 3). This is part 3 of Khari Douglas' interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode we discuss integrated photonics and how optical fibers work. If you're interested in playing one of the games mentioned on the podcast, you can reach Erik Verlage at everlage@mit.edu.
Sociotechnical Interventions for Health Disparity Reduction – CCC Briefing to the mPower Working Group
Presentation slides from the CCC's briefing on the Sociotechnical Interventions by Health Disparity Reduction worksop. Presentation by Tiffany Veinot (University of Michigan), Katie Siek (Indiana University & CCC Council) Elizabeth Mynatt (Georgia Tech & Former CCC Council) to the mPower working group .
Game-Based Learning and Integrated Photonics with Erik Verlage (Part 2) Transcipt
Transcript of Catalyzing Computing Episode 24: Game-Based Learning and Integrated Photonics with Erik Verlage (Part 2). This is part 2 of Khari Douglas' interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode, Erik continues to discuss building educational games and using games, virtual reality, and augmented reality for job training. If you're interested in playing one of the games mentioned on the podcast, you can reach Erik Verlage at everlage@mit.edu.
Game-Based Learning and Integrated Photonics with Erik Verlage (Part 1) Transcript
Transcript of Catalyzing Computing Episode 23: Game-Based Learning and Integrated Photonics with Erik Verlage (Part 1). This is part 2 of Khari Douglas' interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode, Erik continues to discuss building educational games and using games, virtual reality, and augmented reality for job training. If you're interested in playing one of the games mentioned on the podcast, you can reach Erik Verlage at everlage@mit.edu.
Catalyzing Computing – Content Generation for Workforce Training Transcript
Transcript of Catalyzing Computing Episode 8: Content Generation for Workforce Training. The Computing Community Consortium (CCC) held a visioning workshop in Atlanta, GA in March 2019 to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop’s goal was to articulate research challenges and needs and to summarize the current state of the practice in this area. This workshop is in response to growing needs in the field and new research programs such as the National Science Foundation (NSF) Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities (FW-HTF). In this episode of the Catalyzing Computing podcast, Khari Douglas sits down with workshop organizers Holly Rushmeier (Yale) and Beth Mynatt (Georgia Tech) to discuss the goals and outcomes of the event. Learn more about the Content Generation for Workforce Training workshop on the workshop webpage.
Ranveer Chandra – “FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions”
Slides from Ranveer Chandra (Microsoft Azure Global) "FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions" presentation from the Using Computing to Sustainably Feed a Growing Population scientific session at the 2020 AAAS Annual Meeting.
Patrick S. Schnable – “Advancing Plant Science with Predictive Models and Large-scale Phenotyping”
Slides from Patrick S. Schnable (Iowa State University) "Advancing Plant Science with Predictive Models and Large-scale Phenotyping" presentation from the Using Computing to Sustainably Feed a Growing Population scientific session at the 2020 AAAS Annual Meeting.
Chandra Krintz – “SmartFarm: Computing Research for the Next-Generation of Precision Agriculture”
Slides from Chandra Krintz's (UC, Santa Barbara) "SmartFarm: Computing Research for the Next-Generation of Precision Agriculture" presentation from the Using Computing to Sustainably Feed a Growing Population scientific session at the 2020 AAAS Annual Meeting.
Catalyzing Computing Podcast – Interview with Suresh Pt. 1 Transcript
Transcript of Catalyzing Computing Episode 1: Interview with Suresh Pt. 1. Suresh Venkatasubramanian is a professor at the University of Utah with a background in algorithms and computational geometry, as well as data mining and machine learning. In this episode Suresh talks about growing up in India, his grad school trajectory, career choices, and his current research interest in algorithmic fairness.
Catalyzing Computing Podcast – Interview with Suresh Pt. 2 Transcript
Transcript of Catalyzing Computing Episode 2: Interview with Suresh Pt. 2. Suresh Venkatasubramanian is a professor at the University of Utah with a background in algorithms and computational geometry, as well as data mining and machine learning. In this episode Suresh talks about joining the CCC, the work of the CCC’s Fairness and Accountability task force, and the impact of the internet and algorithms on the modern world.
Dan Lopresti – “Creating Incentives for Action: Developing a Shared Research Agenda”
Dan Lopresti's presentation slides on "Creating Incentives for Action: Developing a Shared Research Agenda" from the Code 8.7: Using Computation Science and AI to End Modern Slavery Conference co-hosted by the CCC. These slides were presented during the "Creating incentives for action – Research, Regulation and Rewards" session, which explored how governments, industry actors and international organizations can facilitate responsible and effective use of computational science to accelerate progress towards Target 8.7. You can watch video of the session on the UN Web TV website
Kevin Fu – “The Physics of Cybersecurity: Tickling Sensors with Malicious Sound Waves and RF”
Kevin Fu's (University of Michigan) presentation slides on "The Physics of Cybersecurity: Tickling Sensors with Malicious Sound Waves and RF" from the Cybersecurity: Transcending Physics, Technology, and Society scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Ranveer Chandra – “FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions”
Ranveer Chandra's (University of Buffalo) presentation slides on "FarmBeats: Empowering Farmers with Affordable Digital Agriculture Solutions" from the Sustainably Feeding Ten Billion People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Abraham Stroock – “Learning to listen to plants tools for efficient water use”
Abraham Stroock's (Cornell University) presentation slides on "Learning to listen to plants tools for efficient water use" from the Sustainably Feeding Ten Billion People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Diane Wang – “Coupling nature and nurture: supercharging predictions for agricultural crops”
Diane Wang's (University of Buffalo) presentation slides on "Coupling nature and nurture: supercharging predictions for agricultural crops" from the Sustainably Feeding Ten Billion People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
David Mussington – “The Requirement for Better Data and Analytical Frameworks for Cyber Operations Assessment and Risk Management
David Mussington's (University of Maryland) presentation slides on "The Requirement for Better Data and Analytical Frameworks for Cyber Operations Assessment and Risk Management" from the Socio-technical Cybersecurity: It’s All About People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Rebecca Wright – “Socio-technical Cybersecurity: Misalignment of Incentives in a Complex Multi-stakeholder Setting”
Rebecca Wright's (Rutgers University/Barnard College) presentation slides on "Socio-technical Cybersecurity: Misalignment of Incentives in a Complex Multi-stakeholder Setting" from the Socio-technical Cybersecurity: It’s All About People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Brian LaMacchia – “Cyberspace: Enabling Trustworthy and Autonomous Agency”
Brian LaMacchia's (Microsoft Research) presentation slides on "Cyberspace: Enabling Trustworthy and Autonomous Agency" from the Socio-technical Cybersecurity: It’s All About People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
CCC Presentation at the GCTC Secure Cities and Communities Challenge Public Safety SuperCluster and Cybersecurity Workshop
Slides from Dan Lopresti's (Lehigh University) presentation at the Global Cities Teams Challenge (GCTC) Secure Cities and Communities Challenge Public Safety SuperCluster and Cybersecurity Workshop that took place at the National Institute of Standards and Technology (NIST) in October, 2018.
Health Disparities Deep Exploration Slides
Deep Exploration slides from the Tuesday afternoon session of the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Madhu Reddy – “SocioTechnical Puzzle”
Madhu Reddy's (Northwestern University) presentation slides SocioTechnical Puzzle from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Health Disparities Day 2 Breakout Slides
Summary slides from the Tuesday morning breakout groups at the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Sociotechnical Interventions for Health Disparity Reduction Lightning Intros
"Lighting" participant introduction slides from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Jasmin Tiro – “Process to Optimize Delivery of Interventions”
Jasmin Tiro's (University of Texas Southwest) presentation slides Process to Optimize Delivery of Interventions from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Sociotechnical Interventions for Health Disparity Reduction Opening Slides
Opening slides from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Lena Mamykina – “Theory and design in health”
Lena Mamykina's (Columbia University) presentation slides Theory and design in health from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Tammy Toscos – “Messaging Cardiovascular Implantable Electronic Device (CIED) Remote Monitoring Data to Patients”
Tammy Toscos' (Parkview Health) presentation slides Messaging Cardiovascular Implantable Electronic Device (CIED) Remote Monitoring Data to Patients from the CCC's 2018 Sociotechnical Interventions for Health Disparity Reduction workshop.
Julie Shah – “Robots Among US: The Future of Team Performance”
Julie Shah's (MIT) Robots Among US: The Future of Team Performance presentation slides from the CCC's Artificial Intelligence: Augmenting Not Replacing People session at the 2018 AAAS Annual meeting.
George Pappas – “The Future of Mobility Through Innovations in Intelligent Transportation Infrastructure”
George Pappas's (University of Pennsylvania) The Future of Mobility Through Innovations in Intelligent Transportation Infrastructure presentation slides from the CCC's Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Charlie Catlett – “Partnering with Cities on Urban Challenges and Opportunities to drive Urban Science”
Charlie Catlett's (Argonne National Laboratory) Partnering with Cities on Urban Challenges and Opportunities to drive Urban Science presentation slides from the CCC's Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure at the 2018 AAAS Annual meeting.
Shashi Shekhar – “Transforming Agriculture with Intelligent Infrastructure”
Shashi Shekhar's (University of Minnesota) Transforming Agriculture with Intelligent Infrastructure presentation slides from the CCC's Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Transforming Cities, Transportation, and Agriculture with Intelligent Infrastructure – AAAS 2018
Introductory slides for the CCC'sTransforming Cities, Transportation, and Agriculture with Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Nalini Venkatasubramanian – “Enabling Resilient Situational Awareness in Disasters: A Cross-Layer Approach”
Nalini Venkatasubramanian's (UC Irvine) Enabling Resilient Situational Awareness in Disasters: A Cross-Layer Approach presentation slides from the CCC's Rethinking Approaches to Disaster Management and Public Safety With Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Michael Dunaway – “Considerations for Public Safety in Smart & Connected Communities”
Michael Dunaway's (University of Louisiana at Lafayette) Considerations for Public Safety in Smart & Connected Communities presentation slides from the CCC's Rethinking Approaches to Disaster Management and Public Safety With Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Robin Murphy – “Robots, Emergency Management (EM), and People
Robin Murphy's (Texas A&M) Robots, Emergency Management (EM), and People presentation slides from the CCC's Rethinking Approaches to Disaster Management and Public Safety With Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
Dan Lopresti – “Rethinking Approaches to Disaster Management and Public Safety with Intelligent Infrastructure”
Dan Lopresti's (Lehigh University) session introduction slides from the CCC's Rethinking Approaches to Disaster Management and Public Safety With Intelligent Infrastructure session at the 2018 AAAS Annual meeting.
CCC Response to NLM Request for Information
In September 2017, the National Library of Medicine (NLM), on behalf of the National Institutes of Health, released a request for information (RFI) on Next-Generation Data Science Challenges in Health and Biomedicine that focused on three focal areas:
1. Promising directions for new data science research in the context of health and biomedicine. Input might address such topics as Data Driven Discovery and Data Driven Health Improvement.
2. Promising directions for new initiatives relating to open science and research reproducibility. Input might address such topics as Advanced Data
3. Management and Intelligent and Learning Systems for Health. Promising directions for workforce development and new partnerships. Input might address such topics as Workforce Development and Diversity and New Stakeholder Partnerships.
In November, the CCC published a response that addresses points one and two.
CCC Response to NITRD “Draft Federal Health Information Technology Research and Development Strategic Framework”
In May 2017, the Networking and Information Technology Research and Development (NITRD) Program released their draft Federal Health Information Technology Research and Development Strategic Framework for public comment. The CCC published a response to the plan that commends the framework’s comprehensive approach, but call for more attention to human-centric complex systems for health IT, the inclusion of cyber-security and privacy into the framework, and an increased focus on person-centered health needs.
CCC Response to NITRD “Smart Cities and Communities Federal Strategic Plan: Exploring Innovation Together”
In January 2017, the Networking and Information Technology Research and Development (NITRD) Program released their draft Smart Cities and Communities Federal Strategic Plan for public comment. The CCC published a response to the plan that calls for a “sustained investment in basic research while proactively integrating these visions into current smart community and city approaches to ensure capacity and interoperability for future gains.”
CCC at AAAS 2017 Slides
This slide deck contains the three presentation from the CCC's 2017 When Everyday Objects Become Internet Devices: A Science Policy Agenda session at the AAAS annual meeting. It includes presentations from Elizabeth Mynatt (Georgia Tech), Shwetak Patel (University of Washington), and Ben Zorn (Microsoft Research).
George Siemens – “Two persistent systems level challenges”
George Siemens's (University of Texas at Arlington) Two persistent systems level challengespresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Cyber Social Learning Systems Workshop #2, Participant Introduction Slides
"Lighting" participant introduction slides from the second Cyber Social Learning Systems (CSLS) workshop, part of a three-part series of workshops on the topic.
William Stead – “Health Domain Panel Challenge Problems”
William Stead's (Vanderbilt University) Health Domain Panel Challenge Problems presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Brad Hesse – “Two “Wicked Problems” in Healthcare: The Case of Cancer”
Brad Hesse's (NIH) Two “Wicked Problems” in Healthcare: The Case of Cancerpresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Britte Cheng – “Modeling and Analyzing Education Systems: Two Applications for CSLS”
Britte Cheng's (SRI International) Modeling and Analyzing Education Systems: Two Applications for CSLSpresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Carolyn Rose – “Towards Socializing Intelligence in Urban Classrooms and other even more wicked problems…”
Carolyn Rose's (Carnegie Mellon University) Towards Socializing Intelligence in Urban Classrooms and other even more wicked problems...presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Jennifer Clark – “Making Smart Cities: The Design, Development, and Deployment of Cross-Platform, Service-Integrated, Technology “Products” into Cities”
Jennifer Clark's (Georgia Tech) Making Smart Cities: The Design, Development, and Deployment of Cross-Platform, Service-Integrated, Technology "Products" into Cities presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Bill Griswold – “Research Questions Prompted by the CitiSense Air Quality Monitoring System”
Bill Griswold's (UC San Diego) Research Questions Prompted by the CitiSense Air Quality Monitoring Systempresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Samuel V. Scarpino – “The Predictability Horizon”
Samuel Scarpino's (Northeastern University) The Predictability Horizonpresentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Opening Remarks from the Visioning Workshop on Nanotechnology-inspired Information Processing Systems of the Future
These are the slides from the opening remarks to the 2016 Nanotechnology-inspired Information Processing Systems of the Future . The workshop report can be found here
Charles P. Friedman – “CSLS History 101: What Led Us to This Event”
Charles Friedman's (University of Michigan and workshop co- organizer) CSLS History 101: What Led Us to This Event presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
William B. Rouse – “Learning in Complex Systems”
William Rouse's (Stevens Institute of Technology) Learning in Complex Systems presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
William G. Griswold – “It’s (all about the) People! an example from the healthcare domain”
William Griswold's (Stevens Institute of Technology) It’s (all about the) People! an example from the healthcare domain presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Jonathan Silverstein – “Predictive Modeling Integrated in Healthcare, Toward the Learning Health System”
Jonathan Silverstein's (Kanter Health Foundation) Predictive Modeling Integrated in Healthcare, Toward the Learning Health System presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Kevin Sullivan – “First CCC Workshop on Cyber-Social Learning Systems”
Kevin Sullivan's (University of Virginia and workshop co-organizer) First CCC Workshop on Cyber-Social Learning System introductory slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Elizabeth Churchill – “infrastructure a personal, meta-perspective”
Elizabeth Churchill's (Google) infrastructure a personal, meta-perspective presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Stephanie D. Teasley – “Cyber-Social Learning Systems: Higher Education”
Stephanie Teasley's (University of Michigan) Cyber-Social Learning Systems: Higher Education presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Learning/Unlearning In these exponential times! Honoring the tacit components in knowing
Workshop presentation slides on learning systems from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Ben Shneiderman – “The New ABCs of Research”
Ben Shneiderman's (University of Maryland) The New ABCs of Research presentation slides from the CCC's November 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Jim Spohrer – “Cyber-Social-Learning-Systems”
Jim Spohrer's (IBM) Cyber-Social-Learning-Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Bill Scherlis – “Assurance and Abstraction for Cyber Social Learning Systems”
Bill Scherlis' (Carnegie Mellon University) Assurance and Abstraction for Cyber Social Learning Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Cyber Social Learning Systems Workshop 2 Breakout Group Slides – “Trust and trustworthiness”
Presentation slides on "Trust and trustworthiness" from one of the breakout groups at the CCC's November 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Mary Czerwinski – “CCC 2016 Cyber Social Learning Systems”
Mary Czerwinski's (Microsoft Research) CCC 2016 Cyber Social Learning Systemspresentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Lori Clarke – “Trustworthy Cyber Social Learning Systems”
Lori Clarke's (UMass Amherst) Trustworthy Cyber Social Learning Systemspresentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Rahul C. Basole – “Cyber Social Learning Systems: Observations & Reflections”
Rahul Basole's (Georgia Tech) Cyber Social Learning Systems: Observations & Reflections presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the second in a series of workshops on the topic.
Lise Getoor – “CSLS Panel”
Lise Getoor's (UC Santa Cruz) presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Ben Shneiderman – “Design Tools for Governance in Cyber Social Systems: Community Formation/Management, Deliberation, Conflict Resolution”
Ben Shneiderman's (University of Maryland) Design Tools for Governance in Cyber Social Systems: Community Formation/Management, Deliberation, Conflict Resolution presentation slides from the CCC's August 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
Jennifer Clark – “Smart Cities and Connected Communities”
Jennifer Clark's (Georgia Tech) Smart Cities and Connected Communities presentation slides from the CCC's 2016 Cyber Social Learning Systems workshop, the first in a series of workshops on the topic.
CCC at AAAS 2016 Slides
This slide deck contains the three presentation from the CCC's 2016 The Confluence of Computing and Society: Emerging Themes in Socio-Technical Systems session at the AAAS annual meeting. It includes presentations from Greg Hager (Johns Hopkins), Elizabeth Mynatt (Georgia Tech), and Kentaro Toyama (University of Michigan).
CCC Response to NIST IoT Security
CCC Response to NIST IoT Security
Programming Languages/Compilers/Software Engineering
This section contains CCC resources related to programming languages, compilers, and software engineering. To find out more about the CCC’s work in these areas visit the Post Moore’s Law task force page.
Workshop Reports
Thermodynamic Computing
In January 2019, the CCC held the 2.5-day Thermodynamic Computing visioning workshop which brought together physical theorists, electrical and computer engineers, electronic/ionic device researchers, and theoretical biologists to explore a novel idea: computing as an open thermodynamic system. The workshop was organized by Tom Conte (Georgia Tech), Erik DeBenedictis (Sandia National Laboratories), Natesh Ganesh (University of Massachusetts Amherst), Todd Hylton (UC San Diego), Susanne Still (University of Hawaii), John Paul Strachan (Hewlett Packard Lab HPE), R. Stanley Williams (Texas A&M), with the support of the CCC’s (now-retired) Post Moore's Law Computing Task Force
The report begins by explaining the need for thermodynamic computers: with the end of Moore’s Law and Dennard scaling we will require novel methods of computing to continue making improvements to computational efficiency. It follows that “if we want to make computers function more efficiently then we should care about energy and its ability to efficiently create state changes — i.e. we should care about thermodynamics” (page 1). We can find inspiration for such computing methods in living systems – like the human brain or a folding protein – that are able to spontaneously find energy-efficient configurations. What if we could build a computer that worked in a similar way? We call this inherent, adaptive computing process that is driven by thermodynamics, thermodynamic computing. This report contemplates uses for such future systems and then outlines a potential roadmap to develop them.
Next Steps in Quantum Computing: Computer Science’s Role
The two-day workshop on Next Steps in Quantum Computing: Computer Science’s Role was held May 22-23, 2018 in Washington DC and brought together over 50 researchers from quantum computing, computer architecture, electronic design automation, compiler construction, and classical programming languages in order to bridge the interdisciplinary gap in the field. Open questions this group discussed includes new methods for circuit synthesis and optimization, compiler optimizations and rewriting, embedded languages versus non-embedded languages, implementations of type systems and error reporting for quantum languages, and techniques for verifying the correctness of quantum programs.
Authored by Margaret Martonosi (Princeton) and Martin Roetteler (Microsoft), with contributions from numerous workshop attendees and other contributors as listed in Appendix A.
Nanotechnology Inspired Information Processing System of the Future
The 1.5-day Nanotechnology-inspired Information Processing Systems visioning workshop brought together a broad community of leading researchers from the areas of computing, neuroscience, systems, architecture, integrated circuits, and nanoscience, to think broadly and deeply about ideas for designing information processing platforms of the future on beyond CMOS nanoscale process technologies in the context of three application driven platform-focused topical areas – cloud-based, autonomous, and human-centric systems.
Authored by Randy Bryant, Mark Hill, Tom Kazior, Daniel Lee, Jie Liu, Klara Nahrstedt, Vijay Narayanan, Jan Rabaey, Hava Siegelmann, Naresh Shanbhag, Naveen Verma, H.-S. Philip Wong.
Towards a science of open source systems
The report from the 2010 FOSS Workshop on the Future of Research in Free/Open Source Software.
Open source systems are beginning to appear in many diverse disciplines, though perhaps the area with the highest level of activity, visibility, and impact is free/open source software (FOSS) systems. FOSS systems are being researched and developed by fast growing communities of academic and industrial practitioners in different disciplines.
Authored by Walt Scacchi, Kevin Crowston, Chris Jensen, Greg Madey, Megan Squire, Thomas Alspaugh, Les Gasser, Scott Hissam, Yuzo Kanomata, Hamid Ekbia, Kangning Wei, Charles Schweik, and others from the 2010 FOSS Workshop on the Future of Research in Free/Open Source Software.
White Papers
Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers
White Paper: Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers by Christina N. Harrington (DePaul University), Ben Jelen (Indiana University), Amanda Lazar (University of Maryland), Aqueasha Martin-Hammond (Indiana University Purdue University - Indianapolis), Alisha Pradhan (University of Maryland), Blaine Reeder (University of Missouri), and Katie Siek (Indiana University). Older adults should be involved in the design process of technology for them - from initial ideation to product development to deployment. This paper encourages federally funded researchers and industry to create compensated, diverse older adult advisory boards to address stereotypes about aging while ensuring their needs are considered.
For citation use: Harrington C., Jelen B., Lazar A., Martin-Hammond A., Pradhan A., Reeder B., and Siek K. (2021) Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers. https://cra.org/ccc/resources/ccc-led-whitepapers/#2020-quadrennial-papers
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy
White Paper: Advanced Cyberinfrastructure for Science, Engineering, and Public Policy by Vasant G. Honavar, Katherine Yelick, Klara Nahrstedt, Holly Rushmeier, Jennifer Rexford, Mark D. Hill, Elizabeth Bradley, and Elizabeth Mynatt.
This paper focuses on the need for greater cyberinfrastructure in order to maximize the potential for big data for usage in science, engineering, and public policy.For citation use: Honavar V. G., Yelick K., Nahrstedt K., Rushmeier H., Rexford J., Hill M. D., Bradley E., & Mynatt E. (2017) Advanced Cyberinfrastructure for Science, Engineering, and Public Policy https://cra.org/ccc/resources/ccc-led-whitepapers/
Other Resources
Catalyzing Computing Podcast – What is Thermodynamic Computing Part 2 Transcript
Transcript of Catalyzing Computing Episode 4: What is Thermodynamic Computing Pt. 2. In January 2019, the CCC hosted a visioning workshop on, Thermodynamic Computing in Honolulu, Hawaii. This episode of the Catalyzing Computing podcast features an interview with workshop organizer, Natesh Ganesh, a PhD student at the University of Massachusetts Amherst who is interested in the physical limits to computing, brain inspired hardware, non-equilibrium thermodynamics, and emergence of intelligence in self-organized systems. He was awarded the best paper award at IEEE ICRC’17 for the paper A Thermodynamic Treatment of Intelligent Systems. I also speak with workshop participant Gavin Crooks, formerly a Senior Scientist at Rigetti Quantum Computing who developed algorithms for near term quantum computers. Gavin is a world expert on non-equilibrium thermodynamics and the physics of information
Catalyzing Computing Podcast – What is Thermodynamic Computing Part 1 Transcript
Transcript of Catalyzing Computing Episode 3: What is Thermodynamic Computing Pt. 1. In January 2019, the CCC hosted a visioning workshop on, Thermodynamic Computing in Honolulu, Hawaii. This episode of the Catalyzing Computing podcast features an interview with workshop organizers Tom Conte (Georgia Tech) and Todd Hylton (UC San Diego) to discuss their reasons for proposing the workshop, what thermodynamic computing is, and the potential impact that thermodynamic computing could have on future technology. Workshop participant Christof Teuscher (Portland State University) also shares his thoughts on the workshop and his work with new models of computation, including computing with DNA.
Todd Hylton – “Thermodynamic Neural Network”
Todd Hylton (UC San Diego) - "Thermodynamic Neural Network" slides presented at the CCC's January 2019 Thermodynamic Computing workshop. The full powerpoint with videos can be accessed here.
Joshua Yang – “Physical systems for thermodynamic computing”
Joshua Yang's (UMass Amherst) "Physical systems for thermodynamic computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
CCC Thermodynamic Computing Workshop Lightning Slides
"Lighting" participant introduction slides from the CCC's 2019 Thermodynamic Computing visioning workshop.
Jeff Krichmar – “Brains as a Model for Thermodynamic Computing”
Jeff Krichmar's (UC Irvine) "Brains as a Model for Thermodynamic Computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Suhas Kumar – “The device physics we need to build thermodynamic computers”
Suhas Kumar's (Hewlett Packard) "The device physics we need to build thermodynamic computers" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Gavin Crooks – “Thermodynamic Computing”
Gravin Crooks' "Thermodynamic Computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Igor Markov- “QC Architecture: When Life Gives You Lemons”
Igor Markov's (University of Michigan) QC: Architecture: When Life Gives You Lemons presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Bettina Heim- “Toolchains for Quantum Computing”
Bettina Heim's (Microsoft Research) Toolchains for Quantum Computing presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science's Role.
Fred Chong- “Quantum Computer Architecture (Co-Designed with Software): Tradeoffs and Breaking Abstractions”
Fred Chong's (University of Chicago) Quantum Computer Architecture (Co-Designed with Software): Tradeoffs and Breaking Abstractions presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Xiaodi Wu- “Quantum Algorithm Survey: Cont’d”
Xiaodi Wu's (University of Maryland) Quantum Algorithm Survey: Cont'd presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Ali Javadi-Abhari – “Quantum Toolchains”
Ali Javadi-Abhari's (IBM Research) Quantum Toolchains presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Jungsang Kim- “Next Steps in Quantum Computing: CS’s Role Challenges and Opportunities in Technology”
Jungsang Kim's (Duke University) Next Steps in Quantum Computing: CS's Role Challenges and Opportunities in Technology presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Andrew Houck – “Technologies that have demonstrated algorithms”
Andrew Houck's (Princeton University) Technologies that have demonstrated algorithms presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Andrew Childs – “Algorithms for quantum computers”
Andrew Childs' (University of Maryland) Algorithms for quantum computers presentation slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Quantum Computing Lightning Slides
"Lighting" participant introduction slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Summary Discussion from the Digital Computing Workshop
Summary Discussion that opened the morning of the second day the Digital Computing Beyond Moore’s Law worksop.
Digital Computing Lightning Slides
"Lighting" participant introduction slides from the CCC's 2018 Digital Computing Beyond Moore's Law.
Kathy Yelick – “Computational Imaging”
Kathy Yelick's (UC Berkeley) Computational Imaging presentation slides from the CCC's spring 2018 Digital Computing Beyond Moore’s Law worksop.
Srinivas Aluru Digital Computing Slides
Srinivas Aluru's (Georgia Tech) High Performance Computing For Biology and Medicine presentation slides from the Digital Computing Beyond Moore’s Law worksop.
Sariat Adve – Programming Systems for Specialized Architectures
Sarita Adve's (University of Illinois at Urbana-Champaign) Programming Systems for Specialized Architectures presentation slides from the CCC's spring 2018 Digital Computing Beyond Moore’s Law worksop.
Security/Privacy/Fairness
This section contains CCC resources related to security, privacy, and fairness.
For more on the CCC’s work with security head over to the Cybersecurity task force page and to learn more about the CCC’s work with privacy and fairness visit the Privacy and Fairness task force page.
Workshop Reports
Grand Challenges for Embedded Security Research in a Connected World
In August of 2018 the CCC held the one day Leadership in Embedded Security visioning workshop. Embedded systems such as pacemakers, autonomous vehicles, and the Internet of Things often have real-time constraints and electromechanical components that lead to qualitatively different vulnerabilities and solutions from traditional computing systems. Embedded security is the study of physical properties, computational properties, and human factors to protect such embedded systems from attack. The workshop was organized by former CCC Council Member Kevin Fu (University of Michigan), Wayne Burleson (UMass Amherst), and Farinaz Koushanfar (UC, San Diego).
The workshop brought together around fifty academics, industrial researchers, and government agency program managers who work close to the topic of embedded security. The workshop included deep dive group discussions as well as short visionary talks by several international speakers to lend perspectives on successful strategies for funding embedded security research overseas. The report, titled Grand Challenges for Embedded Security Research in a Connected World, focuses on the challenges and potential research opportunities across five major areas of embedded security:
- Medical and health devices,
- Drones and transportation,
- Smart homes,
- Industry and supply-chain,
- The smart grid and critical infrastructure.
Algorithmic and Economic Perspectives on Fairness
In May 2019, the CCC held the 1.5-day Economics and Fairness visioning workshop in Cambridge, Massachusetts, which brought together computer science researchers with backgrounds in algorithmic decision-making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world. The workshop was organized by David Parkes (Harvard University, CCC Council) and Rakesh Vohra (University of Pennsylvania), with the support of the CCC’s Fairness and Accountability Task Force
The report highlights the current trends and uses of algorithmic decision making systems, such as credit scoring, resume screening, and recommendation systems; the central concepts needed to evaluate the fairness and equity of such data-based systems; and the outstanding computing research challenges needed to tackle these kinds of problems. Unfortunately, as the report notes, “At present, there is a paucity of work that seeks to quantify the effect on outcomes across the many domains where we will see automated decision making. Measuring the effect of an algorithm on an outcome is inherently difficult because decisions made (or influenced) by an algorithm may have happened identically in the absence of the algorithm.”
Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility
In January 2019, the CCC held a workshop on Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility. The implications of sufficiently large quantum computers for widely used public-key cryptography is well documented, and increasingly discussed by the security community. An April 2016 report by the National Institute of Standards and Technology (NIST), notably, calls out the need for new standards to replace cryptosystems based on integer factorization and discrete logarithm problems, which have been shown to be vulnerable to Shor’s algorithm. Specifically, widely used RSA, ECDSA, ECDH, and DSA cryptosystems will need to be replaced by post-quantum cryptography (PQC, also known as quantum-resistant cryptography) alternatives. To realize this, NIST has actively led a PQC standardization effort since December of 2016, leveraging a large and international research community. The effort is expected to take five or more years to vet proposals, and to select alternatives that are believed to be secure against both quantum and classical computers. The overall objective of this workshop was to identify academic research challenges in PQC migration and cryptographic agility. To discuss these challenges, the workshop brought together researchers and thought leaders from three distinct communities: PQC researchers who are involved in the design and analysis of cryptographic algorithms, applied cryptography researchers who focus more extensively on the application and implementation of cryptography to a variety of spheres, and systems security researchers who use cryptography as a building block in real-world security architectures and solutions (e.g., trusted computing, cloud security).
The Frontiers of Fairness in Machine Learning
Workshop report from the CCC's March 2018 workshop on Fair Representation and Fair Interactive Learning, authored by Alexandra Chouldechova (Carnegie Mellon University) and Aaron Roth (University of Pennsylvania).
Abstract: "The last few years have seen an explosion of academic and popular interest in algorithmic fairness. Despite this interest and the volume and velocity of work that has been produced recently, the fundamental science of fairness in machine learning is still in a nascent state. In March 2018, we convened a group of experts as part of a CCC visioning workshop to assess the state of the field, and distill the most promising research directions going forward. This report summarizes the findings of that workshop. Along the way, it surveys recent theoretical work in the field and points towards promising directions for research."
Cybersecurity for Manufacturers: Securing the Digitized and Connected Factory
MForesight: Alliance for Manufacturing Foresight's Cybersecurity for Manufacturers: Securing The Digitized And Connected Factory workshop report from the CCC and MForesight's 2017 Cyber Security for Manufacturers Workshop.
Privacy by Design – Engineering Privacy
Privacy by Design – Catalyzing Privacy by Design workshop report.
The third workshop took place in late August in Pittsburgh to discuss
the emerging challenges in engineering privacy. An interdisciplinary group of 65
participants had expertise spanning cryptography, software engineering, technology
policy, and law. The workshop was structured in a single track with 14 sessions, most of
which featured a panel of speakers followed by very active participant discussions. The
session topics include “Requirements and Policy Languages,” “Practical DeIdentification,”
and “Design Patterns for Privacy,” among others. Two sessions were
dedicated to an interactive critique of three prototype privacy tools.
Privacy by Design – Privacy Enabling Design
Privacy by Design – Privacy Enabling Design workshop report.
The second workshop took place in May, 2015 in Atlanta, Georgia,
focusing on privacy principles in the design process and how designers can take a more active
role in the conversation. A group of over 50 collaborators were in attendance, representing
various parts of industry, academia, government and civil society, including legal, philosophy,
and computer science academics; researchers and members of industry; and designers from
various major design firms.
Privacy by Design – State of Research and Practice
Privacy by Design – State of Research and Practice workshop report.
In order to identify a shared research vision to support these different facets of the practice of Privacy by Design, the Computing Community Consortium (CCC) is sponsoring a series of four workshops throughout 2015. The first workshop took place in February in Berkeley, California, focusing on concepts of privacy and how different groups think about and approach privacy in their receptive domains.
Research Needs for Trustworthy, and Reliable Semiconductors Report
This report is the result of a workshop held January 15-16, 2013 in Arlington, Virginia at which experts from the semiconductor and software/programming language communities convened to discuss approaches in their respective fields to improving reliability, trustworthiness, and security. The workshop organizing committee, agenda, and attendees are shown in Appendices to this report. The objective was to identify research based on the state of the art in each community that can lead to a “foundation of trust” in our world of intelligent, interconnected systems built on secure, trustworthy, and reliable semiconductors. While the workshop allowed the communities to learn about the approaches and capabilities for ensuring correctness in their respective areas, it also revealed the differences in focus, priorities, and cultures between the semiconductor industry and software academic researchers.
White Papers
Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers
White Paper: Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers by Christina N. Harrington (DePaul University), Ben Jelen (Indiana University), Amanda Lazar (University of Maryland), Aqueasha Martin-Hammond (Indiana University Purdue University - Indianapolis), Alisha Pradhan (University of Maryland), Blaine Reeder (University of Missouri), and Katie Siek (Indiana University). Older adults should be involved in the design process of technology for them - from initial ideation to product development to deployment. This paper encourages federally funded researchers and industry to create compensated, diverse older adult advisory boards to address stereotypes about aging while ensuring their needs are considered.
For citation use: Harrington C., Jelen B., Lazar A., Martin-Hammond A., Pradhan A., Reeder B., and Siek K. (2021) Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers. https://cra.org/ccc/resources/ccc-led-whitepapers/#2020-quadrennial-papers
5G Security and Privacy – A Research Roadmap
White Paper: 5G Security and Privacy - A Research Roadmap by Elisa Bertino, Syed Rafiul Hussain, and Omar Chowdhury.
Abstract: Cellular networks represent a critical infrastructure and their security is thus crucial. 5G – the latest generation of cellular networks – combines different technologies to increase capacity, reduce latency, and save energy. Due to its complexity and scale, however, ensuring its security is extremely challenging. In this white paper, we outline recent approaches supporting systematic analyses of 4G LTE and 5G protocols and their related defenses and introduce an initial security and privacy roadmap, covering different research challenges, including formal and comprehensive analyses of cellular protocols as defined by the standardization groups, verification of the software implementing the protocols, the design of robust defenses, and application and device security.
For citation use: Bertino E., Hussain S. R., & Chowdhury O. (2020) 5G Security and Privacy - A Research Roadmap https://cra.org/ccc/resources/ccc-led-whitepapers/
Democratizing Design for Future Computing Platforms
White Paper: Democratizing Design for Future Computing Platforms by Luis Ceze, Mark D. Hill, Karthikeyan Sankaralingam, and Thomas F. Wenisch. This paper discusses the opportunity for the US government to "unleash software-hardware innovation with programs to develop open hardware components, tools, and design flows that simplify and reduce the cost of hardware design," since "Such programs will speed development for startup companies, established industry leaders, education, scientific research, and for government intelligence and defense platforms."
For citation use: Ceze L., Hill M. D., Sankaralingam K., & Wenisch T. F. (2017) Democratizing Design for Future Computing Platforms https://cra.org/ccc/resources/ccc-led-whitepapers/
Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things
White Paper: Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things by Kevin Fu, Tadayoshi Kohno, Daniel Lopresti, Elizabeth Mynatt, Klara Nahrstedt, Shwetak Patel, Debra Richardson, and Ben Zorn.
For citation use: Fu K., Kohno T., Lopresti D., Mynatt E., Nahrstedt K., Patel S., Richardson D., & Zorn B. (2017). Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things. http://cra.org/ccc/resources/ccc-led-whitepapers/
Privacy in Information-Rich Intelligent Infrastructure
White Paper: Privacy in Information-Rich Intelligent Infrastructure by Cynthia Dwork (Harvard University) and George J. Pappas (University of Pennsylvania).
For citation use: Dwork C. & Pappas G.J. (2017) Privacy in Information-Rich Intelligent Infrastructure. http://cra.org/ccc/resources/ccc-led-whitepapers/
Safety and Security for Intelligent Infrastructure
White Paper: Safety and Security for Intelligent Infrastructure by Kevin Fu (University of Michigan), Ann Drobnis (Computing Community Consortium), Greg Morrisett (Cornell University), Elizabeth Mynatt (Georgia Tech), Shwetak Patel (University of Washington), Radha Poovendran (University of Washington), and Ben Zorn (Microsoft Research).
For citation use: Fu K., Drobnis A., Morrisett G., Mynatt E., Patel S., Poovendran R., & Zorn B. (2017) Safety and Security for Intelligent Infrastructure. http://cra.org/ccc/resources/ccc-led-whitepapers/
Privacy-Preserving Data Analysis for the Federal Statistical Agencies
White paper: Privacy-Preserving Data Analysis for the Federal Statistical Agencies by John Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, and Jerome Reiter.
For citation use: Abowd J., Alvisi L., Dwork C., Kannan S., Machanavajjhala A., & Reiter J. (2017). Privacy-Preserving Data Analysis for the Federal Statistics Agencies. A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. http://cra.org/ccc/resources/ccc-led-whitepapers/
Towards a Privacy Research Roadmap for the Computing Community
CCC National Privacy Research Roadmap for the Computing Community from May 2015.
This report, sponsored by the Computing Community Consortium (CCC), suggests a roadmap for privacy research over the next decade, aimed at enabling society to appropriately control threats to privacy while enjoying the benefits of information technology and data science. We hope that it will be useful to the agencies of the Federal Networking and Information Technology Research and Development (NITRD) Program as they develop a joint National Privacy Research Strategy over the coming months. The report synthesizes input drawn from the privacy and computing communities submitted to both the CCC and NITRD, as well as past reports on the topic.
Security is not a Commodity: The Road Forward for Cybersecurity Research
White Paper: Security is Not a Commodity: The Road Forward for Cybersecurity Research by Stefan Savage (UC San Diego) and Fred B. Schneider (Cornell University). This white paper proposes a set of future research goals for cybersecurity and the role of federal agencies in that roadmap.
Other Resources
Catalyzing Computing Episode 13 – Interview with Dan Lopresti Part 1 Transcript
Transcript of Catalyzing Computing Episode 13: Interview with Dan Lopresti Part 1. In this episode, Khari Douglas interviews Dr. Daniel Lopresti who serves as the Chair of the Department of Computer Science and Engineering and the Director of the Data X strategic initiative at Lehigh University. In this episode Dr. Lopresti discusses his work applying computer science to molecular biology, pattern recognition, and voting machine security.
Catalyzing Computing Episode 28 – Global Security and Graph Analytics with Nadya Bliss (Part 2) Transcript
Transcript of Catalyzing Computing Episode 28: Global Security and Graph Analytics with Nadya Bliss (Part 2). Khari Douglas interviews Dr. Nadya Bliss, the Executive Director of Arizona State's Global Security Initiative and a CCC Council Member. Before joining ASU in 2012, Bliss spent 10 years at MIT's Lincoln Laboratory, most recently as a founding group leader of the Computing and Analytics Group. In this episode, she discusses the work of Arizona State University's Global Security Initiative, how to combat the spread of misinformation and the impact of sustainability on security.
Catalyzing Computing Episode 27 – Global Security and Graph Analytics with Nadya Bliss (Part 1) Transcript
Transcript of Catalyzing Computing Episode 27: Global Security and Graph Analytics with Nadya Bliss (Part 1). In this episode, Khari Douglas interviews Dr. Nadya Bliss, the Executive Director of Arizona State's Global Security Initiative and a CCC Council Member. Before joining ASU in 2012, Bliss spent 10 years at MIT's Lincoln Laboratory, most recently as a founding group leader of the Computing and Analytics Group. In this episode, she discusses her time at Lincoln Lab, what a federally funded research and development center does, and the history of graph analytics.
Grand Challenges for Embedded Security Research In a Connected World – CCC Briefing to the NITRD CSIA IWG
Presentation slides from the CCC's briefing on the Leadership in Embedded Security workshop to the NITRD CSIA IWG.. Presentation by Kevin Fu (University of Michigan & Former CCC Council), Wayne Burleson (University of Massachusetts Amherst).
Science and Technology for National Intelligence with John Beieler Transcript
This episode of the podcast was recorded live at the “This Study Shows” Sci-Mic stage at the 2020 AAAS Annual Meeting in Seattle, Washington. Khari Douglas interviews Dr. John Beieler, a former program manager at IARPA and currently the Director of Science and Technology in the Office of the Director of National Intelligence. In this episode they discuss working in national security and the technical challenges the intelligence community is facing.
Catalyzing Computing – Interview with Keith Marzullo Part 2 Transcript
Transcript of Catalyzing Computing Episode 7: Interview with Keith Marzullo Part 2. Khari Douglas interviews Dr. Keith Marzullo, the Dean of the College of Information Studies at the University of Maryland, College Park. Dr. Marzullo joined the iSchool from the White House Office of Science and Technology Policy, where he directed the Networking and Information Technology Research and Development (NITRD) Program. In this episode, Dr. Marzullo discusses joining an iSchool as a computer scientist, the latest projects at the Maryland iSchool, and the future of cybersecurity.
Catalyzing Computing – Interview with Keith Marzullo Part 1 Transcript
Transcript of Catalyzing Computing Episode 6: Interview with Keith Marzullo Part 1. Khari Douglas interviews Dr. Keith Marzullo, the Dean of the College of Information Studies at the University of Maryland, College Park. Dr. Marzullo joined the iSchool from the White House Office of Science and Technology Policy, where he directed the Networking and Information Technology Research and Development (NITRD) Program. In this episode, Dr. Marzullo discusses his research background, experience teaching, and his time spent in the federal government.
Catalyzing Computing – Code 8.7 Transcript
Transcript of Catalyzing Computing Episode 5: Code 8.7: Using Computation Science and AI to End Modern Slavery. In February 2019, the CCC co-sponsored the Code 8.7: Using Computational Science and AI to End Modern Slavery conference. Code 8.7 brought together computer science researchers and technologists with policy researchers, law enforcement officials, and activists involved in the fight against human trafficking.
In this episode Khari Douglas interviews CCC Council Members Dan Lopresti (Lehigh University), Nadya Bliss (Arizona State), and James Cockayne (Centre for Policy Research at UN University) on the discussions, outcomes, and next steps of Code 8.7.
CCC Presentation to NSF on the Economics and Fairness Workshop
Presentation slides from the CCC's Presentation to NSF on the Economics and Fairness Workshop by David Parkes (Harvard University) and Rakesh Vohra (University of Pennsylvania).
Dan Gillmor – “Journalism and Misinformation: Supply, Demand, Scale”
Slides from Dan Gillmor's (Arizona State University) "Journalism and Misinformation: Supply, Demand, Scale" presentation from the Detecting, Combating, and Identifying Dis and Mis-information scientific session at the 2020 AAAS Annual Meeting.
John Beieler – “AI Assurance and AI Security: Definitions and Future Directions”
Slides from John Beieler's (ODNI) "AI Assurance and AI Security: Definitions and Future Directions" presentation from the Detecting, Combating, and Identifying Dis and Mis-information scientific session at the 2020 AAAS Annual Meeting.
Emma S. Spiro – “Misinformation in the Context of Emergencies and Disaster Events”
Slides from Emma S. Spiro's (University of Washington) "Misinformation in the Context of Emergencies and Disaster Events" presentation from the Detecting, Combating, and Identifying Dis and Mis-information scientific session at the 2020 AAAS Annual Meeting.
Moritz Hardt – “Some ongoing debates in fair decision-making”
Slides from Moritz Hardt's (University of California, Berkeley) "Some ongoing debates in fair decision-making" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Toniann Pitassi – “Fairness in Machine Learning”
Slides from Toniann Pitassi's (University of Toronto) "Fairness in Machine Learning" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Sampath Kannan – “Decision Making by Machine Learning Algorithms”
Slides from Sampath Kannan's (University of Pennsylvania) "Decision Making by Machine Learning Algorithms" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Catalyzing Computing Podcast – Interview with Suresh Pt. 1 Transcript
Transcript of Catalyzing Computing Episode 1: Interview with Suresh Pt. 1. Suresh Venkatasubramanian is a professor at the University of Utah with a background in algorithms and computational geometry, as well as data mining and machine learning. In this episode Suresh talks about growing up in India, his grad school trajectory, career choices, and his current research interest in algorithmic fairness.
Catalyzing Computing Podcast – Interview with Suresh Pt. 2 Transcript
Transcript of Catalyzing Computing Episode 2: Interview with Suresh Pt. 2. Suresh Venkatasubramanian is a professor at the University of Utah with a background in algorithms and computational geometry, as well as data mining and machine learning. In this episode Suresh talks about joining the CCC, the work of the CCC’s Fairness and Accountability task force, and the impact of the internet and algorithms on the modern world.
Berk Ustun – “Actionable Recourse in Linear Classification”
Berk Ustun's (Harvard University) presentation slides on "Actionable Recourse in Linear Classification" from the CCC's 2019 Economics and Fairness workshop.
Aaron Roth – “Algorithmic Recommendations”
Aaron Roth's (University of Pennsylvania) presentation slides on "Algorithmic Recommendations" from the CCC's 2019 Economics and Fairness workshop.
Michael Ekstrand – “Recommendations, Decisions, Feedback Loops, and Maybe Saving the Planet”
Michael Ekstrand's (Boise State University) presentation slides on "Recommendations, Decisions, Feedback Loops, and Maybe Saving the Planet" from the CCC's 2019 Economics and Fairness workshop.
John Roemer – “Equalizing opportunities through policy: A primer”
John Roemer's (Yale University) presentation slides on "Equalizing opportunities through policy: A primer" from the CCC's 2019 Economics and Fairness workshop.
Rakesh Vohra – “Equality of Opportunity Discussion Slides”
Rakesh Vohra's (University of Pennsylvania) presentation slides on "Equality of Opportunity Discussion Slides" from the CCC's 2019 Economics and Fairness workshop.
Ayelet Israeli – “CCC Economics and Fairness: Platforms”
Ayelet Israeli's (Harvard University) presentation slides on "CCC Economics and Fairness: Platforms" from the CCC's 2019 Economics and Fairness workshop.
Rediet Abebe – “Mechanism Design for Social Good”
Rediet Abebe's Cornell University) presentation slides on "Mechanism Design for Social Good" from the CCC's 2019 Economics and Fairness workshop.
Mallesh Pai – “An Economics Perspective on Fairness: Can Free Markets Lead to Fair Markets?”
Mallesh Pai's (Rice University) presentation slides on "An Economics Perspective on Fairness: Can Free Markets Lead to Fair Markets?" from the CCC's 2019 Economics and Fairness workshop.
Prasanna Tambe – “AI in HR Management: Challenges and a path forward”
Prasanna Tambe's (University of Pennsylvania) presentation slides on "AI in HR Management: Challenges and a path forward" from the CCC's 2019 Economics and Fairness workshop.
Karen Levy – “Tensions and Trade-offs in Designing Against Discrimination”
Karen Levy's (Cornell University) presentation slides on "Tensions and Trade-offs in Designing Against Discrimination" from the CCC's 2019 Economics and Fairness workshop.
Lindsey Zuloaga – “Algorithms for Hire”
Lindsey Zuloaga's (HireVue) presentation slides on - "Algorithms for Hire" from the CCC's 2019 Economics and Fairness workshop.
Sharad Goel – “Quantifying bias in machine decisions”
Sharad Goel's (Stanford University) presentation slides on "Quantifying bias in machine decisions" from the CCC's 2019 Economics and Fairness workshop.
Dan Lopresti – “Creating Incentives for Action: Developing a Shared Research Agenda”
Dan Lopresti's presentation slides on "Creating Incentives for Action: Developing a Shared Research Agenda" from the Code 8.7: Using Computation Science and AI to End Modern Slavery Conference co-hosted by the CCC. These slides were presented during the "Creating incentives for action – Research, Regulation and Rewards" session, which explored how governments, industry actors and international organizations can facilitate responsible and effective use of computational science to accelerate progress towards Target 8.7. You can watch video of the session on the UN Web TV website
Kevin Fu – “The Physics of Cybersecurity: Tickling Sensors with Malicious Sound Waves and RF”
Kevin Fu's (University of Michigan) presentation slides on "The Physics of Cybersecurity: Tickling Sensors with Malicious Sound Waves and RF" from the Cybersecurity: Transcending Physics, Technology, and Society scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
David Mussington – “The Requirement for Better Data and Analytical Frameworks for Cyber Operations Assessment and Risk Management
David Mussington's (University of Maryland) presentation slides on "The Requirement for Better Data and Analytical Frameworks for Cyber Operations Assessment and Risk Management" from the Socio-technical Cybersecurity: It’s All About People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Rebecca Wright – “Socio-technical Cybersecurity: Misalignment of Incentives in a Complex Multi-stakeholder Setting”
Rebecca Wright's (Rutgers University/Barnard College) presentation slides on "Socio-technical Cybersecurity: Misalignment of Incentives in a Complex Multi-stakeholder Setting" from the Socio-technical Cybersecurity: It’s All About People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
Brian LaMacchia – “Cyberspace: Enabling Trustworthy and Autonomous Agency”
Brian LaMacchia's (Microsoft Research) presentation slides on "Cyberspace: Enabling Trustworthy and Autonomous Agency" from the Socio-technical Cybersecurity: It’s All About People scientific session at the 2019 AAAS Annual Meeting, one of four sessions involving or hosted by the CCC.
CCC Response to Update to the 2016 Federal Cybersecurity Research and Development Strategic Plan
The Computing Community Consortium's (CCC) response to the NITRD Request for Information on Update to the 2016 Federal Cybersecurity Research and Development Strategic Plan. The response makes the case for establishing more interdisciplinary research and collaborations in cybersecurity, potentially involving agencies such as the Department of Justice, the National Institutes of Medicine, and the Department of Transportation. The response also highlights areas of computing that will significantly impact cybersecurity policy going forward - this includes AI, quantum computing, and the Internet of Things.
Leadership in Embedded Security Breakout Group 1 – Medical/Wearable
Presentation slides from the Medical/Wearable breakout group at the CCC's 2018 Leadership in Embedded Security workshop.
Embedded Security Breakout Groups
Breakout session organization slides from the CCC's 2018 Leadership in Embedded Security workshop.
Wenyuan Xu – “Sensing Security for Embedded Security”
Wenyuan Xu's (Zhejiang University) Sensing Security for Embedded Security panel presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Srdjan Capkun – “General Interests”
Srdjan Capkun's (ETH Zürich) General Interests panel presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Yongdae Kim – “Korea vs USA Security Research”
Yongdae Kim's (Korea Advanced Institute of Science and Technology) Korea vs USA Security Research panel presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Ross Anderson – “The challenge: How do we make security and safety sustainable?”
Ross Anderson's (University of Cambridge) The challenge: How do we make security and safety sustainable? panel presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Sandip Kundu- “Security Research at NSF”
Sandip Kundu's (National Science Foundation) Security Research at NSF panel presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Tomas Vagoun – “Leadership in Embedded Security Workshop”
Tomas Vagoun's (NITRD) Leadership in Embedded Security Workshop panel presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Leadership in Embedded Security Slides
Workshop overview slides from the CCC's Leadership in Embedded Security workshop.
Sam Fuller – “Security at the Edge for Emerging Distributed Sensor Networks”
Sam Fuller's (CTO Emeritus of Analog Devices) Security at the Edge for Emerging Distributed Sensor Networks panel presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Leadership in Embedded Security Breakout Group 3 – Smart Homes/IoT
Presentation slides from the Smart Homes/IoT breakout group at the CCC's 2018 Leadership in Embedded Security workshop.
Leadership in Embedded Security Breakout Group 5 – Smart Grid/Infrastructure
Presentation slides from the Smart Grid/Infrastructure breakout group at the CCC's 2018 Leadership in Embedded Security workshop.
Leadership in Embedded Security Breakout Group 2 – Automotive/Drone/Transportation
Presentation slides from the Automotive/Drone/Transportation breakout group at the CCC's 2018 Leadership in Embedded Security workshop.
Leadership in Embedded Security Breakout Group 4 – Industrial/Supply-chain/Hardware
Presentation slides from the Industrial/Supply-chain/Hardware breakout group at the CCC's 2018 Leadership in Embedded Security workshop.
Farinaz Koushanfar – “Machine Learning and Embedded Security”
Farinaz Koushanfar's (UC San Diego) Machine Learning and Embedded Security presentation slides from the CCC's 2018 Leadership in Embedded Security workshop.
Leadership in Embedded Security, Lightning Introduction Slides
Lightning introduction slides from CCC's 2018 Leadership in Embedded Security workshop.
Cynthia Dwork – “Differential Privacy and the Right to be Forgotten”
Cynthia Dwork's (Harvard University) Differential Privacy and the Right to be Forgotten presentation slides from the CCC's 2016 Computing Research: Addressing National Priorities and Societal Needs Symposium.
Towards a Privacy Research Roadmap for the Computing Community- NITRD Briefing
NITRD Briefing-Towards a Privacy Research Roadmap for the Computing Community
Editors of the report include Lorrie Cranor, Tal Rabin, Vitaly Shmatikov, Salil Vadhan, and Danny Weitzner.
Towards a Privacy Research Roadmap for the Computing Community- NITRD Briefing
NITRD Briefing-Towards a Privacy Research Roadmap for the Computing Community
Editors of the Report include Lorrie Cranor, Tal Rabin, Vitaly Shmatikov, Salil Vadhan, and Danny Weitzner.
Jeannette Wing – “Privacy Principles, Properties, and Mechanisms”
Jeannette Wing's (Columbia University) Privacy Principles, Properties, and Mechanisms presentation slides from the CCC's 2015 Privacy by Design – State of Research and Practice.
Alissa Cooper – “Privacy in the Internet Engineering Task Force”
Alissa Cooper's (Center for Democracy & Technology) Privacy in the Internet Engineering Task Force presentation slides from the CCC's 2015 Privacy by Design – State of Research and Practice.
Theory/Algorithms
This section contains CCC resources related to theory and algorithms. To find out more about the CCC’s work in these areas visit the Post Moore’s Law task force page
Workshop Reports
Thermodynamic Computing
In January 2019, the CCC held the 2.5-day Thermodynamic Computing visioning workshop which brought together physical theorists, electrical and computer engineers, electronic/ionic device researchers, and theoretical biologists to explore a novel idea: computing as an open thermodynamic system. The workshop was organized by Tom Conte (Georgia Tech), Erik DeBenedictis (Sandia National Laboratories), Natesh Ganesh (University of Massachusetts Amherst), Todd Hylton (UC San Diego), Susanne Still (University of Hawaii), John Paul Strachan (Hewlett Packard Lab HPE), R. Stanley Williams (Texas A&M), with the support of the CCC’s (now-retired) Post Moore's Law Computing Task Force
The report begins by explaining the need for thermodynamic computers: with the end of Moore’s Law and Dennard scaling we will require novel methods of computing to continue making improvements to computational efficiency. It follows that “if we want to make computers function more efficiently then we should care about energy and its ability to efficiently create state changes — i.e. we should care about thermodynamics” (page 1). We can find inspiration for such computing methods in living systems – like the human brain or a folding protein – that are able to spontaneously find energy-efficient configurations. What if we could build a computer that worked in a similar way? We call this inherent, adaptive computing process that is driven by thermodynamics, thermodynamic computing. This report contemplates uses for such future systems and then outlines a potential roadmap to develop them.
Algorithmic and Economic Perspectives on Fairness
In May 2019, the CCC held the 1.5-day Economics and Fairness visioning workshop in Cambridge, Massachusetts, which brought together computer science researchers with backgrounds in algorithmic decision-making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world. The workshop was organized by David Parkes (Harvard University, CCC Council) and Rakesh Vohra (University of Pennsylvania), with the support of the CCC’s Fairness and Accountability Task Force
The report highlights the current trends and uses of algorithmic decision making systems, such as credit scoring, resume screening, and recommendation systems; the central concepts needed to evaluate the fairness and equity of such data-based systems; and the outstanding computing research challenges needed to tackle these kinds of problems. Unfortunately, as the report notes, “At present, there is a paucity of work that seeks to quantify the effect on outcomes across the many domains where we will see automated decision making. Measuring the effect of an algorithm on an outcome is inherently difficult because decisions made (or influenced) by an algorithm may have happened identically in the absence of the algorithm.”
Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility
In January 2019, the CCC held a workshop on Identifying Research Challenges in Post Quantum Cryptography Migration and Cryptographic Agility. The implications of sufficiently large quantum computers for widely used public-key cryptography is well documented, and increasingly discussed by the security community. An April 2016 report by the National Institute of Standards and Technology (NIST), notably, calls out the need for new standards to replace cryptosystems based on integer factorization and discrete logarithm problems, which have been shown to be vulnerable to Shor’s algorithm. Specifically, widely used RSA, ECDSA, ECDH, and DSA cryptosystems will need to be replaced by post-quantum cryptography (PQC, also known as quantum-resistant cryptography) alternatives. To realize this, NIST has actively led a PQC standardization effort since December of 2016, leveraging a large and international research community. The effort is expected to take five or more years to vet proposals, and to select alternatives that are believed to be secure against both quantum and classical computers. The overall objective of this workshop was to identify academic research challenges in PQC migration and cryptographic agility. To discuss these challenges, the workshop brought together researchers and thought leaders from three distinct communities: PQC researchers who are involved in the design and analysis of cryptographic algorithms, applied cryptography researchers who focus more extensively on the application and implementation of cryptography to a variety of spheres, and systems security researchers who use cryptography as a building block in real-world security architectures and solutions (e.g., trusted computing, cloud security).
Next Steps in Quantum Computing: Computer Science’s Role
The two-day workshop on Next Steps in Quantum Computing: Computer Science’s Role was held May 22-23, 2018 in Washington DC and brought together over 50 researchers from quantum computing, computer architecture, electronic design automation, compiler construction, and classical programming languages in order to bridge the interdisciplinary gap in the field. Open questions this group discussed includes new methods for circuit synthesis and optimization, compiler optimizations and rewriting, embedded languages versus non-embedded languages, implementations of type systems and error reporting for quantum languages, and techniques for verifying the correctness of quantum programs.
Authored by Margaret Martonosi (Princeton) and Martin Roetteler (Microsoft), with contributions from numerous workshop attendees and other contributors as listed in Appendix A.
Nanotechnology Inspired Information Processing System of the Future
The 1.5-day Nanotechnology-inspired Information Processing Systems visioning workshop brought together a broad community of leading researchers from the areas of computing, neuroscience, systems, architecture, integrated circuits, and nanoscience, to think broadly and deeply about ideas for designing information processing platforms of the future on beyond CMOS nanoscale process technologies in the context of three application driven platform-focused topical areas – cloud-based, autonomous, and human-centric systems.
Authored by Randy Bryant, Mark Hill, Tom Kazior, Daniel Lee, Jie Liu, Klara Nahrstedt, Vijay Narayanan, Jan Rabaey, Hava Siegelmann, Naresh Shanbhag, Naveen Verma, H.-S. Philip Wong.
Mathematical Foundations for Social Computing Workshop Report
The Theoretical Foundations for Social Computing Workshop report. Social computing encompasses the mechanisms through which people interact with computational systems: crowdsourcing systems, ranking and recommendation systems, online prediction markets, citizen science projects, and collaboratively
edited wikis, to name a few. These systems share the common feature that humans are active participants, making choices that determine the input to, and therefore the output of, the system. The output of these systems can be viewed as a joint computation between machine and human, and can be richer than what either could produce alone. The term social computing is often used as a synonym for several related areas, such as “human computation” and subsets of “collective intelligence”; we use it in its broadest sense to encompass all of these things.
Authored by Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, and Jennifer Wortman Vaughan.
Research Needs for Trustworthy, and Reliable Semiconductors Report
This report is the result of a workshop held January 15-16, 2013 in Arlington, Virginia at which experts from the semiconductor and software/programming language communities convened to discuss approaches in their respective fields to improving reliability, trustworthiness, and security. The workshop organizing committee, agenda, and attendees are shown in Appendices to this report. The objective was to identify research based on the state of the art in each community that can lead to a “foundation of trust” in our world of intelligent, interconnected systems built on secure, trustworthy, and reliable semiconductors. While the workshop allowed the communities to learn about the approaches and capabilities for ensuring correctness in their respective areas, it also revealed the differences in focus, priorities, and cultures between the semiconductor industry and software academic researchers.
From GPS and Virtual Globes to Spatial Computing – 2020: The Next Transformative Technology
The CCC From GPS and Virtual Globes to Spatial Computing – 2020 workshop report.
This document is a direct outcome of the Computing Community Consortium (CCC) visioning workshop From GPS and Virtual Globes to Spatial Computing-2020, held at the National Academies’ Keck Center, September 10th-11th, 2012. It was created in response to the need to arrive at a convergence of interdisciplinary developments across geography, computer science, cognitive science, environmental science, etc. The workshop sought to promote a unified agenda for spatial computing research and development across U.S. agencies, industries (e.g., IBM, Microsoft, Oracle, Google, AT&T, Garmin, ESRI, UPS, Rockwell, Lockheed Martin, Navteq, etc.), and universities. The workshop program exhibited diversity across organizations (e.g., industry, academia, and government), disciplines (e.g., geography, computer science, cognitive science, environmental science, etc.), topics (e.g., science, service, system, and cross-cutting), and communities (e.g., ACM SIGSPATIAL, UCGIS, the National Research Council’s Mapping Science Committee, etc.).
Summary from the Third Cross-Layer Reliability Meeting
The Cross-layer Reliability (RelXLayer) visioning process addresses the fact that we will no longer be able to reliably design or manufacture fault-free hardware systems. Learn more on the workshop website.
Summary from the Second Cross-Layer Reliability Meeting
The Cross-layer Reliability (RelXLayer) visioning process addresses the fact that we will no longer be able to reliably design or manufacture fault-free hardware systems. Learn more on the workshop website.
Summary from the First Cross-Layer Reliability Meeting
The Cross-layer Reliability (RelXLayer) visioning process addresses the fact that we will no longer be able to reliably design or manufacture fault-free hardware systems. Learn more on the workshop website.
Towards a Theory of Networked Computation
The increasing prominence of the Internet, the Web, and large data-networks in general has profoundly affected social and commercial activity. It has also wrought one of the most profound shifts in Computer Science since its inception.
Visions for Theoretical Computer Science: Status and Impact Report
In Spring 2008, the Computing Community Consortium (CCC) provided funding for a visioning workshop called Visions for Theoretical Computer Science: Status and Impact by the Theoretical Computer Science community at the University of Washington on May 17, 2008 (the day before STOC 2008), as well as follow-up efforts. The purpose of the report is to describe the status and impact of those efforts.
White Papers
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy
White Paper: Advanced Cyberinfrastructure for Science, Engineering, and Public Policy by Vasant G. Honavar, Katherine Yelick, Klara Nahrstedt, Holly Rushmeier, Jennifer Rexford, Mark D. Hill, Elizabeth Bradley, and Elizabeth Mynatt.
This paper focuses on the need for greater cyberinfrastructure in order to maximize the potential for big data for usage in science, engineering, and public policy.For citation use: Honavar V. G., Yelick K., Nahrstedt K., Rushmeier H., Rexford J., Hill M. D., Bradley E., & Mynatt E. (2017) Advanced Cyberinfrastructure for Science, Engineering, and Public Policy https://cra.org/ccc/resources/ccc-led-whitepapers/
Challenges to Keeping the Computer Industry Centered in the US [DRAFT]
Draft White Paper: Challenges to Keeping the Computer Industry Centered in the US by Thomas M. Conte, Erik P. Debenedictis, R. Stanley Williams, and Mark D. Hill. This draft paper analyzes the risk that the center of the computing industry - currently focused in Silicon Valley - will move outside of the United States and steps the government should take to prevent that.
For citation use: Conte T. M., Debenedictis E. P., Williams R. S., & Hill M. D. (2017) Challenges to Keeping the Computer Industry Centered in the US. https://cra.org/ccc/resources/ccc-led-whitepapers/
Other Resources
Autonomous Flight and Landing on Mars with Behçet Açikmeşe (Part 1) Transcript
Transcript of Catalyzing Computing Episode 31: Autonomous Flight and Landing on Mars with Behçet Açikmeşe (Part 1). In this episode, Khari Douglas (CCC, Senior Program Associate) interviews Dr. Behçet Açikmeşe. Behçet was a technologist and a senior member of the Guidance and Control (G&C) Analysis Group at NASA Jet Propulsion Laboratory (JPL) from 2003 to 2012 where he developed guidance, control, and estimation algorithms for formation-flying spacecraft and distributed networked systems, proximity operations around asteroids and comets, and planetary landing. He is currently a Professor in Aeronautics & Astronautics, as well as Electrical & Computer Engineering, at the University of Washington and a member of their Autonomous Controls Lab. In this episode, Dr. Açikmeşe discuss his time at JPL and what it takes to land a rover on Mars.
CCC Presentation to NSF on the Economics and Fairness Workshop
Presentation slides from the CCC's Presentation to NSF on the Economics and Fairness Workshop by David Parkes (Harvard University) and Rakesh Vohra (University of Pennsylvania).
Toniann Pitassi – “Fairness in Machine Learning”
Slides from Toniann Pitassi's (University of Toronto) "Fairness in Machine Learning" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Moritz Hardt – “Some ongoing debates in fair decision-making”
Slides from Moritz Hardt's (University of California, Berkeley) "Some ongoing debates in fair decision-making" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Sampath Kannan – “Decision Making by Machine Learning Algorithms”
Slides from Sampath Kannan's (University of Pennsylvania) "Decision Making by Machine Learning Algorithms" presentation from the New Approaches to Fairness in Automated Decision Making scientific session at the 2020 AAAS Annual Meeting.
Catalyzing Computing Podcast – What is Thermodynamic Computing Part 2 Transcript
Transcript of Catalyzing Computing Episode 4: What is Thermodynamic Computing Pt. 2. In January 2019, the CCC hosted a visioning workshop on, Thermodynamic Computing in Honolulu, Hawaii. This episode of the Catalyzing Computing podcast features an interview with workshop organizer, Natesh Ganesh, a PhD student at the University of Massachusetts Amherst who is interested in the physical limits to computing, brain inspired hardware, non-equilibrium thermodynamics, and emergence of intelligence in self-organized systems. He was awarded the best paper award at IEEE ICRC’17 for the paper A Thermodynamic Treatment of Intelligent Systems. I also speak with workshop participant Gavin Crooks, formerly a Senior Scientist at Rigetti Quantum Computing who developed algorithms for near term quantum computers. Gavin is a world expert on non-equilibrium thermodynamics and the physics of information
Catalyzing Computing Podcast – What is Thermodynamic Computing Part 1 Transcript
Transcript of Catalyzing Computing Episode 3: What is Thermodynamic Computing Pt. 1. In January 2019, the CCC hosted a visioning workshop on, Thermodynamic Computing in Honolulu, Hawaii. This episode of the Catalyzing Computing podcast features an interview with workshop organizers Tom Conte (Georgia Tech) and Todd Hylton (UC San Diego) to discuss their reasons for proposing the workshop, what thermodynamic computing is, and the potential impact that thermodynamic computing could have on future technology. Workshop participant Christof Teuscher (Portland State University) also shares his thoughts on the workshop and his work with new models of computation, including computing with DNA.
Minlan Yu – “Data Analytics for Network Telemetry”
Minlan Yu's (Harvard University) presentation slides on Data Analytics for Network Telemetry from the CCC's 2019 Wide-Area Data Analytics workshop.
Rediet Abebe – “Mechanism Design for Social Good”
Rediet Abebe's Cornell University) presentation slides on "Mechanism Design for Social Good" from the CCC's 2019 Economics and Fairness workshop.
Aaron Roth – “Algorithmic Recommendations”
Aaron Roth's (University of Pennsylvania) presentation slides on "Algorithmic Recommendations" from the CCC's 2019 Economics and Fairness workshop.
Michael Ekstrand – “Recommendations, Decisions, Feedback Loops, and Maybe Saving the Planet”
Michael Ekstrand's (Boise State University) presentation slides on "Recommendations, Decisions, Feedback Loops, and Maybe Saving the Planet" from the CCC's 2019 Economics and Fairness workshop.
John Roemer – “Equalizing opportunities through policy: A primer”
John Roemer's (Yale University) presentation slides on "Equalizing opportunities through policy: A primer" from the CCC's 2019 Economics and Fairness workshop.
Rakesh Vohra – “Equality of Opportunity Discussion Slides”
Rakesh Vohra's (University of Pennsylvania) presentation slides on "Equality of Opportunity Discussion Slides" from the CCC's 2019 Economics and Fairness workshop.
Berk Ustun – “Actionable Recourse in Linear Classification”
Berk Ustun's (Harvard University) presentation slides on "Actionable Recourse in Linear Classification" from the CCC's 2019 Economics and Fairness workshop.
Ayelet Israeli – “CCC Economics and Fairness: Platforms”
Ayelet Israeli's (Harvard University) presentation slides on "CCC Economics and Fairness: Platforms" from the CCC's 2019 Economics and Fairness workshop.
Lindsey Zuloaga – “Algorithms for Hire”
Lindsey Zuloaga's (HireVue) presentation slides on - "Algorithms for Hire" from the CCC's 2019 Economics and Fairness workshop.
Prasanna Tambe – “AI in HR Management: Challenges and a path forward”
Prasanna Tambe's (University of Pennsylvania) presentation slides on "AI in HR Management: Challenges and a path forward" from the CCC's 2019 Economics and Fairness workshop.
Karen Levy – “Tensions and Trade-offs in Designing Against Discrimination”
Karen Levy's (Cornell University) presentation slides on "Tensions and Trade-offs in Designing Against Discrimination" from the CCC's 2019 Economics and Fairness workshop.
Sharad Goel – “Quantifying bias in machine decisions”
Sharad Goel's (Stanford University) presentation slides on "Quantifying bias in machine decisions" from the CCC's 2019 Economics and Fairness workshop.
Mallesh Pai – “An Economics Perspective on Fairness: Can Free Markets Lead to Fair Markets?”
Mallesh Pai's (Rice University) presentation slides on "An Economics Perspective on Fairness: Can Free Markets Lead to Fair Markets?" from the CCC's 2019 Economics and Fairness workshop.
Todd Hylton – “Thermodynamic Neural Network”
Todd Hylton (UC San Diego) - "Thermodynamic Neural Network" slides presented at the CCC's January 2019 Thermodynamic Computing workshop. The full powerpoint with videos can be accessed here.
Joshua Yang – “Physical systems for thermodynamic computing”
Joshua Yang's (UMass Amherst) "Physical systems for thermodynamic computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
CCC Thermodynamic Computing Workshop Lightning Slides
"Lighting" participant introduction slides from the CCC's 2019 Thermodynamic Computing visioning workshop.
Jeff Krichmar – “Brains as a Model for Thermodynamic Computing”
Jeff Krichmar's (UC Irvine) "Brains as a Model for Thermodynamic Computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Suhas Kumar – “The device physics we need to build thermodynamic computers”
Suhas Kumar's (Hewlett Packard) "The device physics we need to build thermodynamic computers" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Gavin Crooks – “Thermodynamic Computing”
Gravin Crooks' "Thermodynamic Computing" slides presented at the CCC's January 2019 Thermodynamic Computing workshop.
Quantum Computing Lightning Slides
"Lighting" participant introduction slides from the CCC's 2018 Next Steps in Quantum Computing: Computer Science’s Role.
Summary Discussion from the Digital Computing Workshop
Summary Discussion that opened the morning of the second day the Digital Computing Beyond Moore’s Law worksop.
Digital Computing Lightning Slides
"Lighting" participant introduction slides from the CCC's 2018 Digital Computing Beyond Moore's Law.
Kathy Yelick – “Computational Imaging”
Kathy Yelick's (UC Berkeley) Computational Imaging presentation slides from the CCC's spring 2018 Digital Computing Beyond Moore’s Law worksop.
Srinivas Aluru Digital Computing Slides
Srinivas Aluru's (Georgia Tech) High Performance Computing For Biology and Medicine presentation slides from the Digital Computing Beyond Moore’s Law worksop.
Sariat Adve – Programming Systems for Specialized Architectures
Sarita Adve's (University of Illinois at Urbana-Champaign) Programming Systems for Specialized Architectures presentation slides from the CCC's spring 2018 Digital Computing Beyond Moore’s Law worksop.
Theoretical Foundations for Social Computing- Michael Kearns “The Crowdsourcing Compiler”
Micheal Kearns' (University of Pennsylvania) The Crowdsourcing Compiler presentation slides from the CCC's 2015 Theoretical Foundations for Social Computing.
Liana Leahy – “Data Sharing and Open Social”
Liana Leahy's Privacy by Design-‐Privacy Enabling Design Workshop presentation on Data Sharing and Open Social.
From GPS and Virtual Globes to Spatial Computing – 2020 Program
The program from the CCC From GPS and Virtual Globes to Spatial Computing – 2020 workshop.
Spatial Computing is a set of ideas and technologies that will transform our lives by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places.
Review of the GENI Research Plan (2007)
The Computing Research Association GENI Community Advisory Board (precursor to the Computing Community Consortium GENI Science Council, which is in the midst of formation) organized a review of the GENI Research Plan in Seattle on January 15-16 2007.
Miscellaneous
This category contains CCC reports and resources that address broad topics and did not fit in any of the other categorizes, such as The Future of Computing Research: Industry-Academic Collaborations white paper.
Workshop Reports
White Papers
Evolving Academia:Industry Relations in Computing Research
The Industry Collaboration Working Group has led the CCC’s effort to find and communicate best practices to industry-academia and public-private partnerships. This report considers how emerging trends – such as the dramatic increase in undergraduate computer science enrollment, the increased availability of information technology, and the rising level of interactions between professors and companies – impact the interaction between academia and industry in computing fields.
The Future of Computing Research: Industry-Academic Collaborations (Version 2)
White Paper: The Future of Computing Research: Industry-Academic Collaborations by Nady Boules et. al. This paper presents some of the current challenges to industry-academic collaboration and offers some best practice to overcome those challenges.
For citation use: Boules N., Douglas K., Feldman S., Fix L., Hager G., Hailpern B., Hebert M., Lopresti D., Mynatt E., Rossbach C., & Wright H.V., (2016). The Future of Computing Research: Industry-Academia Collaborations, Version 2: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association. https://cra.org/ccc/resources/ccc-led-whitepapers/
Computing Community Consortium Implementation Plan for the period beginning October 2009
The CCC's 2009 Implementation Plan
The Computing Community Consortium: Self-Assessment and Annual Report
This document serves both as an overall self-assessment of the Computing Community Consortium since its inception more than two years ago, and as an annual report for the most recent year (2009).
Original Computing Community Consortium (CCC) White Paper
Information on the background and purpose of the Computing Community Consortium, September 2006.
Other Resources
Catalyzing Computing – Interview with Keith Marzullo Part 2 Transcript
Transcript of Catalyzing Computing Episode 7: Interview with Keith Marzullo Part 2. Khari Douglas interviews Dr. Keith Marzullo, the Dean of the College of Information Studies at the University of Maryland, College Park. Dr. Marzullo joined the iSchool from the White House Office of Science and Technology Policy, where he directed the Networking and Information Technology Research and Development (NITRD) Program. In this episode, Dr. Marzullo discusses joining an iSchool as a computer scientist, the latest projects at the Maryland iSchool, and the future of cybersecurity.
Catalyzing Computing – Interview with Keith Marzullo Part 1 Transcript
Transcript of Catalyzing Computing Episode 6: Interview with Keith Marzullo Part 1. Khari Douglas interviews Dr. Keith Marzullo, the Dean of the College of Information Studies at the University of Maryland, College Park. Dr. Marzullo joined the iSchool from the White House Office of Science and Technology Policy, where he directed the Networking and Information Technology Research and Development (NITRD) Program. In this episode, Dr. Marzullo discusses his research background, experience teaching, and his time spent in the federal government.
Ann Schwartz Drobnis – “The Need for Community”
CCC Director Ann Schwartz Drobnis' presentation on "The Need for Community."
Ben Zorn – “Evolving Academia/Industry Relations in Computing Research”
CCC Council Member Ben Zorn's slides on the CCC's Evolving Academia/Industry Relations in Computing Research report presentation from the July, 2019 CRA Board Meeting in Denver, CO.
Khari Douglas – “The Community Community Consortium”
CCC Program Associate Khari Douglas' slides on the Computing Community Consortium from a presentation for the University of Hawaiʻi and Mānoa Computer Science Department.
Summary of Lessons Learned from the CCC Postdoc Best Practices Program
Summary of the lessons learned from the CCC's Postdoc Best Practices Program, which ran from 2014-2018, documents the experiences of the 3 postdoc best practice sites and highlights the opportunities for future programming, as well as challenges such programs should be aware of. Prepared by the CRA's Center for Evaluating the Research Pipeline (CERP)
Postdoc Best Practices Final Report – “Lessons Learned from the CCC Postdoc Best Practices Program”
The final report from the CCC's Postdoc Best Practices Program, which ran from 2014-2018, documents the experiences of the 3 postdoc best practice sites and highlights the opportunities for future programming, as well as challenges such programs should be aware of. Some key takeaways include:
- Regularly review progress with the postdocs
- Match skill-sets with professional development opportunities
- Organize skill development activities in a variety of formats
- Facilitate networking
- Keep in mind the geographical proximity of activities to the postdocs
Prepared by the CRA's Center for Evaluating the Research Pipeline (CERP)
Kate Starbird – “Muddied Waters: Online Disinformation during Crisis Events”
Kate Starbird's Muddied Waters: Online Disinformation during Crisis Events presentation from the Computing Research Futures session at the 2018 CRA Conference at Snowbird.
Kathy Yelick, “Machine Learning for Science”
Kathy Yelick's (UC Berkeley) Machine Learning for Science presentation from the Computing Research Futures session at the 2018 CRA Conference at Snowbird.
Mark Hill – “The Computing Community Consortium”
CCC Chair Mark Hill's slides on the Computing Community Consortium from the Computing Research Futures session at the 2018 CRA Conference at Snowbird.
CCC Presentation on “Accelerating Science: A Grand Challenge for AI” to DARPA in March 2017
CCC Presentation on "Accelerating Science: A Grand Challenge for AI" to DARPA in March 2017. Presented by Vasant Honavar, Mark Hill, and Kathy Yelick.
CCC at AAAS 2017 Slides
This slide deck contains the three presentation from the CCC's 2017 When Everyday Objects Become Internet Devices: A Science Policy Agenda session at the AAAS annual meeting. It includes presentations from Elizabeth Mynatt (Georgia Tech), Shwetak Patel (University of Washington), and Ben Zorn (Microsoft Research).
CCC Visioning Best Practices v1.0
The CCC's recommended best practices for a visioning workshop.
Computing Community Consortium Response to the June 17 Reverse Site Visit Review Panel Report (August 8, 2014)
The CCC's response to the 2014 NSF Reverse Site Visit Review Panel Report
CCC-NSF Cooperative Agreement (2012)
The CCC's Cooperative Agreement with the National Science Foundation.
Evaluation of the Computing Community Consortium: A Qualitative and Quantitative Analysis of Perspectives on the CCC Project (December 2010)
An independent assessment of the CCC, completed by SRI International during the summer and fall of 2010
Landmark Contributions by Students in Computer Science
This document compiles a list of notable contributions by students, both undergraduate and graduate, to the field of computer science. Of course, this is not comprehensive but shows how important the computing research ecosystem is in creating technological advancements.
Computing Community Consortium – Strategic Plan Version 9: June 30, 2009
The CCC's Strategic Plan from June 2009.
CACM Viewpoint: Envisioning the Future of Computing Research
This Communications of the ACM (CACM) Viewpoints article by Ed Lazowska explains the role of the (at the time) newly created Computing Community Consortium (CCC) and the role it will play in the computing research landscape.
Review of the GENI Research Plan (2007)
The Computing Research Association GENI Community Advisory Board (precursor to the Computing Community Consortium GENI Science Council, which is in the midst of formation) organized a review of the GENI Research Plan in Seattle on January 15-16 2007.
Computing Community Consortium: Three Year Strategic Plan Version 1.0 (Jan 13, 2014)
The CCC's strategic plan from January 2014.
