Training

Computational Social Science Training Program (CSSTP)

The UC Berkeley Computational Social Science Training Program (CSSTP) trains predoctoral students representing a variety of degree programs and expertise areas in the social sciences, including demography, public health, public policy, social epidemiology, social welfare, and sociology.

Launched in 2020 with a five-year, $1.2 million grant from the National Institutes of Health (NIH) Office of Behavioral and Social...

AIxD: AI Across Domains

AI innovations revealed through interdisciplinary contributions

BIDS AIxD – Artificial Intelligence Across Domains – is a new workshop series beginning Fall 2026. By convening experts from across domains to discuss the cutting-edge research developments that are driving innovation in AI, they will identify common principles, algorithms, and tools across disciplinary boundaries. The series builds on the legacy of the Cross Domain Initiatives TextXD, ImageXD, and GraphXD, co-...

Computational Research for Equity in the Legal System Training Program (CRELS)

About

The UC Berkeley Computational Research for Equity in the Legal System Training Program (CRELS) trains doctoral students representing a variety of degree programs and expertise areas in the social sciences, computer science and statistics.

Launched in 2023 with a $3-million grant from the National Science Foundation (NSF), this five-year multidisciplinary training program in data science and social science disciplines fosters a new computational social science research community and leads the integration of research on the social...