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Symposium on Accelerating Science: A Grand Challenge for AI


   Videos   

November 17-19, 2016

Westin Arlington Gateway
The Westin Arlington Gateway, North Glebe Road, Arlington, VA, United States



Event Contact

Ann Drobnis
adrobnis@cra.org


Event Type

Special Event


Event Category

CCC

Overview

As a recent Computing Community Consortium (CCC) white paper noted, scientific progress in many disciplines is increasingly enabled by our ability to examine natural phenomena through the computational lens, and our ability to acquire, share, integrate and analyze disparate types of data. The emergence of “big data”, instead of making the scientific method obsolete as some have suggested, underscores challenges in the development of algorithmic or information processing abstractions of various aspects of the scientific methods and processes; the development of cognitive tools that complement and extend human intellect, in the form of computational artifacts (representations, processes, protocols, workflows, software) to partner with humans on all aspects of science (e.g., mapping the state of knowledge in a discipline and identifying gaps, formulating and prioritizing questions; designing, prioritizing and executing experiments; drawing inferences and constructing explanations and hypotheses from the literature, databases, knowledge bases, expressing and reasoning with scientific arguments of variable certainty and provenance; synthesizing findings from disparate observational and experimental studies; formulating new questions, in a closed-loop fashion); Integration of the resulting cognitive tools into collaborative human-machine systems and infrastructure to advance science, including tools for documentation, replication and communication of scientific studies, collaboration, team formation (incentivizing participants, decomposing tasks, combining results, engaging participants with different levels of expertise and abilities), communication (across disciplinary boundaries and across levels of abstraction), tracking scientific progress and impact.

The AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI (co-sponsored by AAAI and the CRA Computing Community Consortium) aimed to bring together researchers in relevant areas of artificial intelligence (e.g., machine learning, causal inference, knowledge representation and inference, planning, decision making, human computer interaction, distributed problem solving, natural language processing, multi-agent systems, semantic web, information integration, scientific workflows), high performance data and computing infrastructures and services, and selected application areas (e.g., life sciences, learning sciences, health sciences, social sciences, food energy and water nexus) to discuss progress on, and articulate a research agenda aimed at addressing, the AI grand challenge of accelerating science.

This was one of several symposia in the AAAI 2016 Fall Symposium series. Learn more about the symposia here and register for the Symposium series here.

You can watch video recording of the symposium here. Learn more about the CCC’s work on AI by visiting the AI task force page.

Agenda

November 17, 2016 (Thursday)

09:00 AM Session 1
  • Vasant Honavar, Pennsylvania State University
  • Carla Gomes, Cornell University
  • Vipin Kumar, University of Minnesota
  • Pat Langley, Institute for the Study of Learning and Expertise (ISLE)
10:30 AM Coffee Break
11:00 AM Session 2
  • Samantha Kleinberg, Stevens Institute of Technology
  • Elias Bareinboim, Purdue University
  • David Jensen, University of Massachusetts
  • Kun Zhang, Carnegie Mellon University
12:30 PM Lunch
02:00 PM Session 3
  • Ashok Goel, Georgia Tech
  • Andrew McCallum, University of Massachusetts Amherst
  • Hoifung Poon, Microsoft Research
  • James Evans, University of Chicago
03:30 PM Coffee Break
04:00 PM Session 4
  • Chandra Bhagavatula, Allen Institute for Artificial Intelligence
  • Charlotte Lee, University of Washington
  • Gully Burns, Information Sciences Institute
  • Dashun Wang, Northwestern University

 

06:00 PM Reception

November 18, 2016 (Friday)

09:00 AM Session 5
  • Peter Karp, SRI International
  • Larisa Soldatava, Brunel University, London
  • Andrei Rzhetsky, University of Chicago, Conte Center
  • Michel Dumontier, Stanford University
10:30 AM Coffee Break
11:00 AM Session 6 - Breakout Sessions
  • Accelerating Science: KR, NLP, Planning, Decision Making
  • Accelerating Science: Research Challenges in AI (Machine learning, causality, etc).
  • Accelerating Science: Infrastructure (including collaborative science, citizen science)
  • Accelerating Science: Driving Applications (Life Sciences, Social Sciences, Brain Sciences, Cognitive Sciences, Public Policy)
12:30 PM Lunch
02:00 PM Session 7
  • Zoran Popovic, University of Washington
  • Yolanda Gil, University of Southern California/Information Sciences Institute
  • Kevin Crowston, Syracuse University
  • Klara Nahrstedt, University of Illinois Urbana-Champaign
03:30 PM Coffee Break
04:00 PM Session 8 (Agency Roundtable)
  • Phil Bourne, NIH
  • Fen Zhao, NSF
  • Lynne Parker, NSF
  • Martin Apple, Council of Scientific Society Presidents
  • Rene Baston, NE Big Data Hub
06:00 PM Plenary Session

November 19, 2016 (Saturday)

09:00 AM Report Writing
10:30 AM Coffee Break
11:00 AM Report Writing
12:30 PM End Workshop
Speakers

  Confirmed Participants

 

Elias Bareinboim, Purdue University
Bareinboim
Gully Burns, University of Southern California
Burns
Kevin Crowston, Syracuse University
Crowston
Michel Dumontier, Stanford University
Dumontier
Yolanda Gil, University of Southern California
Gil
Ashok Goel, Georgia Tech
Goel
Carla Gomes, Cornell University
Gomes
Vasant Honavar, Pennsylvania State University
Honavar
David Jensen, University of Massachusetts-Amherst
Jensen
Peter Karp, SRI
Karp
Samantha Kleinberg, Stevens Institute of Technology
Kleinberg
Vipin Kumar, University of Minnesota
Kumar
Pat Langley, Institute for
the Study of Learning and Expertise
Langley
Charlotte Lee, University of Washington
Lee
Andrew McCallum, University of Massachusetts-Amherst
McCallum
Klara Nahrstedt, University of Illinois at Urbana-Champaign
Nahrstedt
Hoifung Poon, Microsoft Research
Poon
Zoran Popovic, University of Washington
Popovic
Andrey Rzhetsky, University of Chicago
Rzhetsky
Larisa Soldatova, Brunel University
Soldatova
Dashun Wang, Northwestern University
Wang
Kun Zhang, Carnegie Mellon University
Zhang
Organizers

Organizing Committee:

Vasant G. Honavar (Symposium Chair), Pennsylvania State University

Carla Gomes (Symposium Co-Chair), Cornell University

Chitta Baral, Arizona State University

Ann Drobnis, Computing Community Consortium

Gregory D Hager, Johns Hopkins University

Logistics

The AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI is one of several symposia in the AAAI 2016 Fall Symposium series. Learn more about the symposia here and register for the Symposium series here.

Sponsors


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