Data Science Institute
Center for Technological Responsibility, Reimagination and Redesign

CNTR Tech & Policy Summer School

For 2026, CNTR welcomes the Watson School as co-sponsor of the AI Policy Summer School.  The 2026 cohort will take place this summer from Tuesday, July 14th, through Friday, July 24th, 2026.  Students will travel to both Providence, RI and Washington, DC. 

The goals of the summer school are to:

  • enable graduate students to conduct high-quality research at the intersection of AI and policymaking
  • provide training and experience for students to engage with policymakers on issues pertaining to AI
  • build a pipeline of qualified AI experts to fill emerging needs in government 

In the first week, students will participate in seminars, reading groups, and discussions in collaboration with Brown CNTR, the Watson School, and many guest speakers. 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 coauthored by Brown CNTR's very own Prof Suresh Venkatasubramanian). Students will explore government approaches to supporting and regulating the development of AI models as well as policy approaches to the use of AI in the public and private sector.

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/ttAC1R9ugXdPp9Ss6

“ I really loved chatting with the summer school group, and was impressed with their work and thoughtfulness about the AI policy space. Congrats on such a wonderful program! ”

Gretchen Krueger, Guest Speaker Berkman Klein Center for Internet & Society, Harvard University