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Automated Research Workflows for Accelerated Discovery Closing the Knowledge Discovery Loop (2022) / Chapter Skim
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Pages 97-110

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From page 97...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17.
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From page 98...
... 2010. Privacy issues in scientific workflow provenance.
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From page 99...
... 2021a. Workflows Community Summit: Advancing the state-of-the-art of scientific workflows management systems research and development.
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From page 100...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Hacking, I
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From page 101...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17.
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From page 102...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17.
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From page 103...
... 2021. About the National COVID Cohort Collaborative.
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From page 104...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. O'Brien, D
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From page 105...
... 2020. Remarks at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17.
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From page 106...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Stoyanovich, J., B
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From page 107...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. WCRI (World Conferences on Research Integrity)
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From page 108...
... Harvard Data Science Review.
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From page 109...
... 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 109
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From page 110...
... 110 APPENDIX A 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  ART TWO: ENABLING P 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)
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Key Terms

  • accessed november
  • accessed april
  • climate model
  • scientific workflow
  • data science

  • materials research
  • accessed june
  • machine learning
  • accelerating scientific
  • artificial intelligence

  • fair data
  • accessed january
  • active learning
  • team science
  • big data

  • van der
  • clinical trial
  • research software
  • fair principles
  • big ideas

  • computational workflows
  • research ethics
  • research integrity
  • science practices
  • privacy issues

  • digital humanities
  • automated workflows
  • data assimilation
  • workflow management
  • scientific workflows


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