Stanford RAIN Seminar

Stanford RAIN (Research on Artificial Intelligence and INcentives) is a seminar on the theory and practice of AI in strategic and societal settings. It serves as a hub for talks and discussion at the intersection of AI, incentives, and society. It is supported by Stanford’s Society & Algorithms Lab (SOAL), Stanford OpenLab, the Stanford Center for Computational Market Design, and the Stanford Computer Forum (and is open to Computer Forum affiliates).

• Autumn 2026 talks are held in person on Tuesdays from 4:30–5:30 PM PT; room assignments are listed below.
• Join the RAIN mailing list to receive announcements and reminders.

Upcoming Talks

1. Suho Shin

   Stanford University

   Sep 29, 2026

   4:30–5:30 PM PT · Y2E2 299

2. Justin Whitehouse

   Stanford University

   Oct 6, 2026

   4:30–5:30 PM PT · Y2E2 299

3. Priya Donti

   MIT

   Oct 13, 2026

   4:30–5:30 PM PT · Y2E2 101

4. Xizhi Tan

   Stanford University

   Oct 20, 2026

   4:30–5:30 PM PT · Y2E2 101

5. Hamsa Sridhar Bastani

   University of Pennsylvania

   Oct 27, 2026

   4:30–5:30 PM PT · Y2E2 299

6. Devavrat Shah

   MIT

   Nov 10, 2026

   4:30–5:30 PM PT · Y2E2 101

7. Keegan Harris

   University of California, Berkeley

   Nov 17, 2026

   4:30–5:30 PM PT · Y2E2 299

8. Susan Murphy

   Harvard University

   Dec 1, 2026

   4:30–5:30 PM PT · Y2E2 299

9. Eva Tardos

   Cornell University

   Dec 8, 2026

   4:30–5:30 PM PT · Y2E2 299

Browse the RAIN seminar talk archive.

About the Seminar

Seminar Organizers: Amin Saberi and Ellen Vitercik.

Website template from the Stanford MLSys Seminar Series.