Science and Technology Interest Group
Artificial Intelligence and Machine Learning Science and Technology Interest Group
The NASA Cosmic Origins Program AI/ML Science and Technology Interest Group (AI/ML STIG) addresses the critical need to upskill the astronomy community with AI literacy. We provide structured, domain-specific AI education through stackable, bite-sized modular training designed for astronomical research contexts.
About AI/ML STIG
Building AI Literacy for Astronomical Research
Astrophysics is an emerging technology for big-data science, and the use of Artificial Intelligence (AI) and Machine Learning (ML) technology will be inevitable in the coming decades.
The AI and ML Science and Technology Interest Group (AI/ML STIG) is motivated by the awareness that upskilling the scientific community could have a transformative impact to counter critical challenges facing astronomical research today.
By providing structured, domain-specific AI education, the AI/ML STIG aims to accelerate NASA's competitive advantage in AI-enabled space science, build the interdisciplinary workforce essential for next-generation astronomical discoveries, create a model for other NASA programs facing similar upskilling challenges, and establish NASA’s leadership in responsible AI adoption to maximize the science return from its missions by the community. The modular, community-driven approach ensures scalability while maintaining the rigor and domain relevance essential for meaningful scientific advancement. This STIG serves as a focal point for addressing these challenges through community townhalls for discussions and organizing short tutorials to address specific astronomical AI applications, modules, and foundational concepts.
STIG Leadership
| Yuan-Sen Ting | OSU |
| Alex Gagliano | MIT |
| Siddharth Mishra-Sharma | Boston University |
| Digvijay Wadekar | Johns Hopkins |
| Andrew Saydjari | Princeton |
| Carol Cuesta-Lazaro | MIT |
| Georgios Valogiannis | UChicago |
News & Events
Meetings, conferences, seminars, workshops, and other news and events for the STIG
Model Context Protocol Building on our last lecture about AI as a research agent, I’ll be covering something that’s been making waves lately: MCP, or Model Context Protocol. Much like HTTP did for the web, MCP is quickly becoming the…
The next AI / ML STIG lecture will be held on December 8th (Monday) at 4:00pm ET/1:00pm PT
Fundamentals of Autodifferentiation with PyTorch/JAX Speaker Philip Cargile (Harvard CfA) Meeting Connection Join the Meeting
Fundamentals of Autodifferentiation with PyTorch/JAX Speaker Philip Cargile (Harvard CfA) Meeting Connection Join the Meeting
Multi-Agent Systems Speaker Francisco Villaescusa-Navarro, Flatiron Meeting Recording
The next AI & ML STIG lecture will be held on November 24th (Monday) at 4:00pm ET/1:00pm PT and will cover Large Language Models (LLM) as Autonomous Agents (Module 1) — LLM as Agent. The presentation will be given by Francisco Villaescusa-Navarro…
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