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Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
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Appendix A

Workshop Agenda

Opportunities for Accelerating Scientific Discovery:
Realizing the Potential of Advanced and Automated Workflows

AGENDA
March 16–17, 2020

March 16, 2020 (Monday)

8:30 am EDT/1:30 pm CET/5:30 am PDT PART ONE: USE CASES
Welcome, Overview, and Goals of the Symposium—Daniel Atkins, University of Michigan
8:45 am EDT/1:45 pm CET/5:45 am PDT
Sponsor Perspective—Stuart Feldman, Schmidt Futures
9:00 am EDT/2:00 pm CET/6:00 am PDT
Accelerating Discovery: Case Studies, Requirements, and Progress, Part One
Session Leaders: Ilkay Altintas, San Diego Supercomputer Center, and Tapio Schneider, California Institute of Technology
Panelists: Timothy Cernak, University of Michigan
Kyle Cranmer, New York University
Alex Szalay, Johns Hopkins University
10:00 am EDT/3:00 pm CET/7:00 am PDT BREAK
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
×
10:15 am/3:15 pm CET/7:15 am PDT
Accelerating Discovery: Case Studies, Requirements, and Progress, Part Two
Panelists: Gregory Crane, Tufts University
Tyrel McQueen, Johns Hopkins University
Robert Murphy, Carnegie Mellon University
11:15 am/4:15 pm CET/8:15 am PDT PART TWO: ENABLING TECHNOLOGIES
Accelerating Discovery: Mathematical and Algorithmic Issues
Session Leaders: Bradley Malin, Vanderbilt University, Alfred Hero, University of Michigan, Tapio Schneider, California Institute of Technology
Panelists: Rene Vidal, Johns Hopkins University
Rebecca Nugent, Carnegie Mellon University
Victoria Stodden, University of Illinois Urbana-Champaign
12:15 pm/5:15 pm CET/9:15 am PDT BREAK
12:30 pm/5:30 pm CET/9:30 am PDT
Perspective from the Office of Science and Technology Policy
Kelvin Droegemeier, Director, Office of Science and Technology Policy
12:40 pm/5:40 pm CET/9:40 am PDT
Accelerating Discovery: Status and Trajectory of Supporting Tools and Systems
Session Leaders: Mercè Crosas, Harvard University, and Shreyas Cholia, Lawrence Berkeley National Laboratory
Panelists: Carole Goble, University of Manchester
Ian Foster, Argonne National Laboratory
Brian Granger, Project Jupyter and Amazon Web Services
Julia Lane, New York University
Peter Beckman, Argonne National Laboratory
Geoffrey Fox, Indiana University
2:40 pm EDT/7:30 pm CET/11:30 am PDT OPEN DISCUSSION
(Break as needed)
3:30 pm EDT/8:30 pm CET/12:30 pm PDT ADJOURN DAY ONE
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
×

March 17, 2020 (Tuesday)

8:30 am EDT/1:30 pm CET/5:30 am PDT PART THREE: HUMAN AND POLICY ISSUES
Welcome and Overview of Day Two—Daniel Atkins
8:45 am EDT/1:45 pm CET/5:45 am PDT
Accelerating Discovery: Standards, Governance, and Social Context
Session Leaders: Lara Mangravite, Sage Bionetworks, and Rebecca Lawrence, F1000 Research
Panelists: Raja Mazumder, George Washington University
Beth Plale, National Science Foundation
Timothy Gardner, Riffyn, Inc.
Michael Crusoe, Common Workflow Language
9:45 am EDT/2:45 pm CET/6:45 am PDT BREAK
10:00 am EDT/3:00 pm CET/7:00 am PDT
Accelerating Discovery: Developing Supportive Policies, Communities, and Sustainable Funding
Session Leader: Alfred Hero, University of Michigan
Panelists: Jean-Claude Burgelman, European Commission
Dmitri Kusnezov, U.S. Department of Energy
Adam Russell, Defense Advanced Research Projects Agency
Daniel Weitzner, Massachusetts Institute of Technology
11:15 am EDT/4:15 pm CET/8:15 am PDT PART FOUR: SYNTHESIS AND FUTURE PRIORITIES
Synthesis of What We Have Heard
Session Leaders: Rebecca Lawrence, F1000 Research, and Tapio Schneider, California Institute of Technology
Panelists: Carole Goble, University of Manchester
Ian Foster, Argonne National Laboratory
Alex Szalay, Johns Hopkins University
Timothy Gardner, Ryffin, Inc.
1:00 pm EDT/6:00 pm CET/10:00 am PDT ADJOURN PUBLIC WORKSHOP
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
×

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Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
×
Page 109
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
×
Page 110
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
×
Page 111
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop. Washington, DC: The National Academies Press. doi: 10.17226/26532.
×
Page 112
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The needs and demands placed on science to address a range of urgent problems are growing. The world is faced with complex, interrelated challenges in which the way forward lies hidden or dispersed across disciplines and organizations. For centuries, scientific research has progressed through iteration of a workflow built on experimentation or observation and analysis of the resulting data. While computers and automation technologies have played a central role in research workflows for decades to acquire, process, and analyze data, these same computing and automation technologies can now also control the acquisition of data, for example, through the design of new experiments or decision making about new observations.

The term automated research workflow (ARW) describes scientific research processes that are emerging across a variety of disciplines and fields. ARWs integrate computation, laboratory automation, and tools from artificial intelligence in the performance of tasks that make up the research process, such as designing experiments, observations, and simulations; collecting and analyzing data; and learning from the results to inform further experiments, observations, and simulations. The common goal of researchers implementing ARWs is to accelerate scientific knowledge generation, potentially by orders of magnitude, while achieving greater control and reproducibility in the scientific process.

Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop examines current efforts to develop advanced and automated workflows to accelerate research progress, including wider use of artificial intelligence. This report identifies research needs and priorities in the use of advanced and automated workflows for scientific research. Automated Research Workflows for Accelerated Discovery is intended to create awareness, momentum, and synergies to realize the potential of ARWs in scholarly discovery.

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