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Machine Learning and Artificial Intelligence to Advance Earth System Science Opportunities and Challenges: Proceedings of a Workshop (2022) / Chapter Skim
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Appendix C: Workshop Agenda
Pages 55-58

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From page 55...
... Workshop discussions will examine state-of-the-art approaches for using ML/AI for Earth system science, consider challenges and ways to mitigate risks of using ML/AI, and identify future opportunities to accelerate progress. Day 1: Monday, February 7, 2022 Emerging Approaches for Using, Interpreting, and Integrating ML/AI for Earth System Science 1:00 pm Welcome and Opening Remarks Ruby Leung, Planning Committee Chair, Pacific Northwest National Laboratory Session 1: Overview of State-of-the-Art Use of ML/AI for Earth System Science Moderators: Amy McGovern, University of Oklahoma, and Ruby Leung, PNNL Session 1 will provide a broad overview of how ML/AI are currently being used for Earth system science, remaining conceptual and technical challenges, and opportunities to address those challenges.
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From page 56...
... 1:20 pm 5-minute panelist remarks followed by discussion • David Danks, UC San Diego • Imme Ebert-Uphoff, Colorado State University • Priya Donti, Carnegie Mellon University • Abhishek Gupta, Montreal AI Ethics Institute
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From page 57...
... 3:00 pm 5-minute panelist remarks followed by discussion • Ryan Abernathey, Columbia University • Chelle Gentemann, Farallon Institute • Jason Hickey, Google • Ana Privette, Amazon Sustainability Data Initiative • Katie Dagon, National Center for Atmospheric Research 3:50 pm Closing Remarks and Plans for Day 3 Laure Zanna, NYU 4:00 pm Adjourn Day 3: Friday, February 11, 2022 Identifying Future Opportunities to Accelerate Progress 1:00 pm Welcome and Opening Remarks Ruby Leung, Committee Chair, Pacific Northwest National Laboratory 1:10 pm Recap of Workshop Day 2 Ruby Leung, PNNL, and Ann Bostrom, UW
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From page 58...
... Geological Survey • Pierre Lermusiaux, MIT • Daniel Rothenberg, Waymo 2:20 pm Break Session 2: Novel Funding Mechanisms, Partnerships, and Knowledge Transfer Between Academia, Industry, Nonprofits, and Government Moderators: Aarti Singh, CMU, and Laure Zanna, NYU Session 2 conversationalists will consider funding opportunities, effective mechanisms, and creative new approaches to facilitate partnerships and knowledge transfer among academia, industry, nonprofits, and government to advance ML/AI for Earth system science. 2:40 pm Brief introductions followed by conversation • Lynne Parker, White House Office of Science and Technology Policy • Gary Hattem, Independent Advisor • Jennifer Chayes, UC Berkeley • Qingkai Kong, Lawrence Livermore National Laboratory • David Spergel, Simons Foundation 3:40 pm Summary of Workshop Day 3 Aarti Singh, CMU, and Amy McGovern, University of Oklahoma 3:50 pm Closing Remarks Ruby Leung, Committee Chair, Pacific Northwest National Laboratory 4:00 pm Adjourn
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Key Terms

  • northwest national
  • ann bostrom
  • advance earth
  • amy mcgovern
  • patrick heimbach

  • aarti singh
  • committee chair
  • introductions followed
  • nyu session
  • colorado state

  • panelist remarks
  • accelerate progress
  • laure zanna
  • remarks followed
  • knowledge transfer

  • future opportunities
  • pnnl session
  • brief introductions
  • identifying future
  • emerging approaches

  • funding opportunities
  • amazon sustainability
  • consider funding
  • consider unique
  • cmu session

  • include integrating
  • consider challenges
  • qingkai kong
  • integrating physics
  • house office


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