Ongoing CCC Activities
In the chart below you can check the status of ongoing white papers, reports, and workshops.
|AI Working Group||The Artificial Intelligence Working Group will lead the CCC’s effort to generate an AI Roadmap. Lead by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University), this new effort is in support of the Administrations’ efforts in this area, and will bring together academic and industrial researchers and federal agency representatives to help chart a course for needed research in AI, through a series of workshops in the Fall of 2018, resulting in a Roadmap to be produced in the Spring of 2019. The first workshop on Integrated Intelligence took place November 14-15, 2018 in Chicago and second workshop on Interaction occurred January 8-9, 2019 in Denver. The third workshop on Self Aware Learning took place January 17-18, 2019 in San Francisco. On January 28th, roadmap chairs Yolanda Gil and Bart Selman, along with several of the individual workshop chairs, presented the discussions and findings of the workshops during a townhall meeting at AAAI-19. Watch the full video of the presentation and Q&A on the townhall webpage. The draft report was released for comment in May and can be read here. Follow the roadmap efforts to learn more.|
|Industry Working Group||The Industry Collaboration Working Group will lead the CCC’s effort to find and communicate best practices to industry-academia and public-private partnerships. Informed by the CCC’s 2015 The Future of Computing Research: Industry-Academia Collaborations this working group will establish ties with industry and lead the creation of white papers, workshops, and other content for future collaborations. The focus of the working group for 2018-2019 has been transportation, particularly autonomous vehicles and the requisite intelligent infrastructure. The Computing Community Consortium’s (CCC) Industry Working Group released their Evolving Academia/Industry Relations in Computing Research: Interim Report for comments in March, and the final report is in progress.|
|Economics and Fairness Workshop||The Computing Community Consortium’s (CCC) Fairness and Accountability Task Force held a visioning workshop on Economics and Fairness, May 22-23, 2019 in Cambridge, Massachusetts. This workshop 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 addressed five main areas: data concentration, algorithmic decision making, algorithmic recommendation, implications for platforms, equality of opportunity. A workshop report is in progress.|
|Wide-Area Data Analytics Workshop||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. How should we analyze data collected or stored at multiple far-flung locations? We believe that bringing these researchers together at a single workshop will create opportunities for interdisciplinary collaboration, and help in bridging the gaps between related work in different areas. In addition, the workshop can help create a stronger foundation for a broader view of “systems” as a common core research area in computer science, rather than separate research communities. The CCC will hold a workshop on wide-area data analytics on October 3-4, 2019 in Washington, D.C.|
|Content Generation for Workforce Training Workshop (CGWT)||The Computing Community Consortium (CCC) recently held a visioning workshop March 14-15, 2019 in Atlanta, GA to discuss and articulate research visions for authoring rich media content for new workforce training. The workshop aimed 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). A podcast episode about the workshop is available – stream it here – and a workshop report is in progress.|
|Thermodynamic Computing Workshop||The Systems and Architecture task force led the Thermodynamic Computing Workshop, which took place January 3-5, 2019 in Honolulu, Hawaii. The workshop posited that striving for thermodynamic efficiency is not only highly desirable in hardware components, but may also be used as an embedded capability in the creation of algorithms: can dissipated heat be used to trigger adaptation/restructuring of (parts of) the functioning hardware, thus allowing hardware to evolve increasingly efficient computing strategies? Recent theoretical developments in non-equilibrium thermodynamics suggest that thermodynamics drives the organization of open systems as a natural response to external input potentials; that is, that these systems adapt as they dissipate energy, enter low dissipation homeostatic states and as a result ‘learn’ to ‘predict’ future inputs. A workshop report is in progress. The CCC also sponsored the Manoa Mini-Symposium on Physics of Adaptive Computation, which featured a number of speakers from the Thermodynamic Computing workshop. Two podcast episodes about the workshop, featuring interviews with the workshop organizers and participants are available here.|
|Leadership in Embedded Security Workshop||The Cybersecurity Taskforce of the CCC held a leadership workshop to envision the future of embedded security research and education from hardware to cyberphysical systems to human factors, co-located with the 27th USENIX Security Symposium. A workshop report is in progress.|
|Code 8.7: Using Computation Science and AI to End Modern Slavery||On February 19-20, 2019, the CCC co-sponsored the Code 8.7: Using Computation Science and AI to End Modern Slavery conference with the United Nations University Centre for Policy Research, The Alan Turing Institute, Tech Against Trafficking, University of Nottingham Rights Lab, and Arizona State University Global Security Initiative. The two-day conference brought together the computational research and artificial intelligence (AI) communities together with those working to achieve Target 8.7 of the Sustainable Development Goals.With Target 8.7, 193 countries agreed to take immediate and effective measures to end forced labour, modern slavery and human trafficking by 2030, and the worst forms of child labour by 2025. You can stream the recordings of the conference on the Delta 8.7 Facebook page. A podcast episode about the conference is available for streaming here.|
|Sociotechnical Interventions for Health Disparity Reduction: A Research Agenda||The CCC co-hosted a workshop on sociotechnical interventions for health disparity reduction with the Society of Behavioral Medicine (SBM). It was co-located with SBM Annual Meeting, April 9-10 in New Orleans, Louisiana. A workshop report is in progress.|
For more information about ongoing CCC activities contact Director Ann Drobnis at adrobnis [at] cra.org.