You do not need to have technical knowledge of AI to apply.

We welcome applications from students with a range of previous experiences. Previous work in AI or technology policy is helpful but not required. In the past, fellows have had backgrounds in security studies, foreign policy, law, political science, and various technical fields.

In general, we think that questions in AI policy are best answered by people with diverse backgrounds, so we encourage those with backgrounds other than the above to apply as well.

Last academic year, we accepted around 30% of fellowship applicants.

When forming cohorts, we attempt to accommodate people's schedules. Each cohort meets once a week on Georgetown University's Main Campus for 2.5 hours, with dinner/lunch provided.

Each week, fellows participate in a 2.5-hour discussion that introduces key concepts, challenges, and policy responses to issues in the development of frontier AI. The first hour is spent co-reading, and the rest is spent discussing the readings with peers over a meal.

In additional, current and former fellows are encouraged to attend socials and speaker events that RAIN organizes, chat with organizers about their career plans or research interests, collaborate with other fellows on research projects, and more!

Participation is free for all fellows, and fellows do not receive compensation.

However, RAIN provides meals at fellowship meetings and may support fellows by funding AI policy-related professional development opportunities.

Yes. Last year, we organized separate undergraduate and graduate cohorts.

Schedules permitting, we'll form cohorts so that students are matched with others with similar backgrounds.