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This workshop is supported by the NASA Chief Science Data Office, emphasizing the transformative potential of artificial intelligence (AI) and machine learning (ML) for science. It focuses on exploring and applying foundation models (FMs) in science. Building on the momentum generated by recent results of FMs, we aim to delve deeper into how these powerful AI advances can be specifically harnessed within various scientific disciplines. The workshop brings together domain scientists, computer scientists, AI experts, and other professionals to address following challenges in AI for science:

  • Challenge 1: Which scientific problems should be targeted for AI, especially foundation models?
  • Challenge 2: Considering the complex nature of scientific research and the capabilities of foundation models, what are the essential collaborative strategies and resources required for developing and applying foundation models for science?
  • Challenge 3: What are the best practices and insights for effectively tuning foundation models for science application, research process, and operational efficiency?

Expected Outcomes

  • Comprehensive overview of AI advancements in NASA's Science Mission Directorate (SMD)
  • Identification of existing challenges
  • Skill enhancement in utilizing foundation models for science
  • Fostering stronger AI-Science community networks
  • Identifying promising new areas for research that offer high potential returns
  • Facilitating future research and collaboration projects

Workshop Report

Read the workshop report (PDF, 390KB)

Recordings

View the event program.

Organizing Committee from each NASA Center

Steering Committee

Code of Conduct

This meeting will be held following the Transform to Open Science Code of Conduct.