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.
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STIG Leadership
| Yuan-Sen Ting, Co-Chair | The Ohio State University |
| Digvijay Wadekar, Co-Chair | University of Texas at Austin |
| Alex Gagliano | MIT |
| Siddharth Mishra-Sharma | Boston University |
| Andrew Saydjari | Princeton University |
| Carol Cuesta-Lazaro | Institute for Advanced Study at Princeton/Flatiron Institute |
| Georgios Valogiannis | University of Chicago |
News & Events
Meetings, conferences, seminars, workshops, and other news and events for the STIG
Open Science and AI at NASA. Speaker: Steven M. Crawford, NASA HQ
Nominate yourself or a colleague to join the leadership council of the NASA AI/ML Science and Technology Interest Group (STIG). We welcome early-career researchers (graduate students, postdocs, and early-career scientists) broadly interested in AI and astronomy.
From Text to Spaceship. Speaker: Ryan McClelland, NASA GSFC
Reinforcement Learning Applications. Speaker: Carol Cuesta-Lazaro, IAS/Flatiron
Reinforcement Learning Fundamentals, Speaker: Carol Cuesta-Lazaro, IAS/Flatiron
NASA ASTRA Initiative. Speaker: Peter Kurczynski, Chief Scientist of the NASA Cosmic Origins Program Office. 4:00pm ET
AI/ML STIG
Artificial Intelligence and Machine Learning Science and Technology Interest Group
Building AI Literacy for the Future of Astronomy
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