Responsible Gen-AI for NASA Earthdata 2026

24 August - 28 August Seattle, WA
Reproducible, Secure and Robust generative AI

About Responsible Gen-AI for NASA Earthdata

Join us for a week of hands-on learning of best practices for using generative Artificial Intelligence (gen AI) for NASA Earth data production and services.

Who should apply?

  • Open to faculty, students, research staff, agency data software/systems engineers, data security/IT governance specialists, and industry partners working on advancing gen AI tools for Earth science-related disciplines.

Prerequisites:

  • Programming experience in Python.
  • Familiarity with any NASA Earth data product.
  • Some experience using generative AI tools for science.
  • Travel funding (not provided by hackweek).

Tutorials

Tutorials

Tutorials will be offered by members of the NASA technical and research community in partnership with the University of Washington eScience Institute's data scientists and research software engineering staff. We will provide hands-on learning opportunities that focus on fundamental concepts, rather than teach specific platforms and toolkits. Participants will engage with real data discovery and analysis examples, moving from open-ended chat-based coding assistants to fully guardrailed gen-AI workflows that use agent skills and Model Context Protocol (MCP) Servers.

Projects

Participants are expected to actively participate in co-designing project ideas that address one or more of the components of the NASA Earth Science Data Systems AI Strategy. We anticipate a blend of projects that address data access and provenance, research best practices ensuring robust and reproducible science, and security and governance. Projects that reach maturity during the hackweek will be supported by follow-on virtual working sessions to refine prototypes and complete documentation.

Projects

More Information

Still have questions? Visit our FAQ page for additional details!

Tentative Schedule

Monday (Aug 24) Tuesday (Aug 25) Wednesday (Aug 26) Thursday (Aug 27) Friday (Aug 28)
Tutorials
  • Introduction to the gen AI Landscape
  • Jupyter AI and Chat-assisted coding
  • Overview of Cryocloud and Collaborative Tools
  • Connectivity and Grounding with MCP
  • Encoding Domain Expertise with Agent Skills
  • Cloudbank and Open LLM Resources
No tutorials
Project Work Project scoping and consulting (3 hours)
  • Project work (4 hours)
  • Project work (4 hours)
  • Project work (5 hours)
  • Project work (4 hours)
  • Project sharing (2 hours)

Meet the team

The people on this page have helped organize the hackweek. You'll find a few specializations listed per person if you're wondering who to reach out to during the event!
Anthony Arendt
Senior Data Science Fellow
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Don Setiawan
Research Software Engineer
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Ellie Abrahams
Research Data Scientist
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Jessica Scheick
Research Assistant Professor
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Joachim Meyer
Senior Research Scholar
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JP Swinski
Software Developer
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Mark Welden-Smith
Program Manager
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Scott Henderson
Research Scientist
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Tasha Snow
Assistant Research Scientist
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Our Sponsors

eScience Institute
CryoCloud