Name: NSF Meta-Workshop: AI to Accelerate Science and Engineering Discover (AI2ASED)
Start: 2023-10-02T11:00:00-04:00
End: 2023-10-03T18:00:00-04:00
Location: No location set

NSF Meta-Workshop: AI to Accelerate Science and Engineering Discover (AI2ASED)

from Monday 2 October 2023 (11:00) to Tuesday 3 October 2023 (18:00)

Monday 2 October 2023
11:00
11:00 - 11:30
Contributions

11:00 NSF Leadership - Michael Littman (NSF CISE/IIS)

11:20 Workshop organizers - Aidong Zhang (University of Virginia) Shih-Chieh Hsu (University of Washington Seattle (US))
11:30 AI/ML for data-driven discovery
AI/ML for data-driven discovery
11:30 - 12:40
Contributions

11:30 AI for Science in Quantum, Atomistic, and Continuum Systems - Shuiwang Ji (Texas A&M)

11:40 CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models - Ying Ding (The University of Texas at Austin)

11:50 Fokker-Planck Inverse Reinforcement Learning: A physics-constrained approach to Markov Decision Process models of cell dynamics - Krishna Garikipati (University of Michigan)

12:00 AI Enabled Scientific Revolution - Vipin Kumar (University of Minnesota)

12:10 Unified Knowledge Representation for Science - Wei Wang (UCLA)

12:20 Neural operators:AI + Science - Animashree Anandkumar (California Institute of Technology)
13:00
13:00 - 14:00
Contributions

13:00 Breakout1: AI for data-driven discovery
14:00
14:00 - 14:20
Contributions

14:00 Room1 - Eric Toberer (Colorado School of Mines)

14:07 Room2 - Xinghua Mindy Shi (Temple University)

14:13 Room3 - Jianwu Wang (University of Maryland, Baltimore County)
14:20 Lunch Break
Lunch Break
14:20 - 15:00
15:00 Science for data-driven discovery
Science for data-driven discovery
15:00 - 16:10
Contributions

15:00 From Harnessing the Data Revolution to Harvesting the Data Revolution - Philip Coleman Harris (Massachusetts Inst. of Technology (US))

15:10 Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) - Daniel Angles-Alcazar (University of Connecticut)

15:20 Foundation Models for Science: What happens when you train large (language) models for Science? - Shirley Ho (Flatiron Institute)

15:30 Using domain-aware metrics for deploying AI/ML in weather/climate applications - Peetak Mitra (Excarta)

15:40 Accelerating AI Applications in Environmental Sciences - Yuhan "Douglas" Rao (Cooperative Institute for Satellite Earth System Studies/NOAA National Centers for Environmental Information)

15:50 Workshop on Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges - L. Ruby Leung (Pacific Northwest National Laboratory)
16:10 Breakout 2: Science and Engineering for data-driven discovery
Breakout 2: Science and Engineering for data-driven discovery
16:10 - 17:10
Room1 Edgar Lobaton (Moderator) Anuj Karpatne (Scribe) <a href="https://docs.google.com/document/d/161sdVHbQZTtaJEGO9-D9MYVLlA8BJDP9zknzLS95O_Y/edit?usp=drive_link">Note1</a> Room2 Bedrich Benes (Moderator) Wei Ding (Scribe) <a href="https://docs.google.com/document/d/1qwXUVwAaoFJ2rTJ-n_9tf1Qas279wLn59wCEjgO74r8/edit?usp=drive_link">Note2</a> Room3 Phil Harris (Moderator) Paul Hanson Scribe) <a href="https://docs.google.com/document/d/1W3JoaMDdfSbrs7i9JK0uVBY7YRGKqkKIJYuA8UtsvbI/edit?usp=drive_link">Note3</a>
17:10
17:10 - 17:28
Contributions

17:10 Room1 - Edgar Lobaton (North Carolina State University)

17:16 Room2 - Bedrich Benes (Purdue University)

17:22 Room3 - Philip Coleman Harris (Massachusetts Inst. of Technology (US))
Tuesday 3 October 2023
11:00 NSF leadership - David Manderscheid (NSF MPS/DMS)
NSF leadership
- David Manderscheid (NSF MPS/DMS)
11:00 - 11:10
11:15 ACED workshop - Christopher Yang (NSF CISE/IIS)
ACED workshop
- Christopher Yang (NSF CISE/IIS)
11:15 - 11:20
11:20 Engineering for data-driven discovery
Engineering for data-driven discovery
11:20 - 12:10
Contributions

11:20 NSF-NIH Joint Workshop on Emerging AI in Biology - Carl Kingsford (Carnegie Mellon University)

11:30 The Annual Accelerate Conference - Brandon Sutherland (Acceleration Consortium)

11:40 Pandemic Research for Preparedness and Resilience - Madhav V Marathe (University of Virginia)

11:50 The Frontiers of Artificial Intelligence-Empowered Methods and Solutions to Urban Transportation Challenges - Lili Du (University of Florida)

12:00 AI + Computation: Use inspired challenges from Manufacturing and Design - Baskar Ganapathysubramanian (Iowa State University)
12:10
12:10 - 13:20
Contributions

12:10 Breakout3 topics introduction - Aidong Zhang (University of Virginia)

12:20 Breakout 3: Science and Engineering for data-driven discovery
13:20
13:20 - 13:55
Contributions

13:25 Room1 - Xia Ning (Ohio State University)

13:32 Room2 - Jing Gao (University of Delaware)

13:39 Room3 - Philip Coleman Harris (Massachusetts Inst. of Technology (US))

13:46 Room3 - Nirav Merchant (University of Arizona)
14:00 Lunch break
Lunch break
14:00 - 14:30
14:30
14:30 - 15:30
Contributions

14:30 Synergies between Accelerating Computer-Enabled Discovery topics - Aidong Zhang (University of Virginia) Marti Hearst Mingyi Hong (University of Minnesota, Minneapolis) Omar Gheta (The University of Texas at Austin) Rajagopalan Balaji (University of Colorado Boulder) Shih-Chieh Hsu (University of Washington Seattle (US))
15:30
15:30 - 17:00
Contributions

15:30 Writing breakout sessions
17:00
17:00 - 17:30
Contributions

17:00 Closing - Christopher Yang (NSF)