The Brown CNTR+Watson AI Policy Summer School aims to help graduate students in computer science, economics, computational social science, and other related fields to learn about AI policy and to learn how to advocate for policy changes. This summer school has funding available. It will take place in-person in both Providence, RI and Washington, DC from July 14th-24th in 2026.
In the first week, students will participate in seminars, readinggroups, guest lectures, and discussions in collaboration with Brown CNTR and the Watson School of International and Public Affairs. During this time, students learn the fundamentals of AI Policy – starting with how the U.S. federal government works and proceeding through a tour of the important hallmark efforts on AI Policy to date (for example, the Blueprint for an AI Bill of Rights, which was co–authored by Brown CNTR’s very own Prof Suresh Venkatasubramanian).
In the second week, students will travel to Washington, D.C., to discuss any relevant draft legislation and general AI policy priorities with offices of Members of Congress. We will also meet with executive agencies and civil society to learn about their AI policy efforts and priorities.
Applications for the 2026 cohort are now open!
Please apply here: https://forms.gle/
Deadline is March 27th!