Following an idea conceived last summer, we held an NSF-supported meeting at MIT this March to discuss the future of AI and the Mathematical and Physical Sciences (MPS). We brought together leaders from each subfield—astronomical sciences, chemistry, materials research, mathematical sciences, and physics—to explore a wide range of opportunities and challenges, covering everything from funding streams and infrastructure to science, education, ethics, and beyond.
After nearly a year of organizing and work, the white paper is now available:
arxiv.org/abs/2509.02661
No matter where you are in your career—whether you're a K-12 student, graduate student, postdoc, faculty member, staff, department chair, director, or funding program manager—this document offers a comprehensive overview of the landscape and highlights key opportunities and gaps the community has identified.
Organizer:
@marisa_kathryn, Jesse Thaler (Physics), Lars Ruthotto
@lruthotto (Maths and Statistcs), Soledad Villar,
@SoledadVillar5 (Maths and Statistics), Pratyush Tiwary (Chemistry), Andrew Fergurson (Chemistry), and myself (Astronomical Science)