Computational Social Science Training Program

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.

Fellows participating in this program develop advanced computational and data science analytics skills to address urgent needs in biomedical, behavioral, social and clinical research. They are being trained to take advantage of recent advances in medical informatics, electronic health records, big data analytics, mobile/wearable technologies, social media and web-generated data, as well as geospatial and administrative data.

David Harding, professor of Sociology and Faculty Director of the Berkeley Social Science Data Laboratory (D-Lab); Maya Petersen, MD, PhD, co-chair of the Graduate Group in Biostatistics and associate professor of Epidemiology and Biostatistics in the Berkeley School of Public Health; and Tim Thomas, BIDS Research Training Lead for the Computational Social Science Training Program, and Research Director of Berkeley’s Urban Displacement Project; currently lead this program, which was launched in spring 2020 with a five-year, $1.2 million grant from the National Institutes of Health (NIH) Office of Behavioral and Social Sciences (OBSSR) and its partner institute, the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

For full details about this program’s implementation and training faculty, see the CSS Training Program Overview. Please contact css-t32@berkeley.edu with any questions.

View this program's event videos in the CSS Training Program video archive.

___________________________

Berkeley Computational Social Science Training Program: Call for Fellowship Nominations — Faculty Submissions due April 29, 2021
March 17, 2021  |  BIDS News

BIDS and D-Lab launch the Computational Social Science Forum
September 3, 2020  |   Marsha Fenner  |  BIDS News

Berkeley’s new Computational Social Science Training Program welcomes first cohort of new fellows for the Fall 2020 semester
July 30, 2020  |   BIDS News

UC Berkeley announces new NIH-funded Computational Social Science Training Program
April 23, 2020  |   BIDS News

BIDS Affiliates

Leader

David J. Harding

Sociology, D-Lab, UC Berkeley
Faculty Affiliate
Leader

Maya Petersen

School of Public Health, UC Berkeley
Faculty Affiliate
Leader

Tim Thomas

Urban Displacement Project
Research Training Lead, Computational Social Science Training Program

Monica De La Cruz

Social Welfare
Computational Social Science Fellow

Benjamin Fields

Sociology, UC Berkeley
Computational Social Science Fellow

Elleni Hailu

Epidemiology, Public Health
Computational Social Science Fellow

Jessie Harney

Goldman School of Public Policy
Computational Social Science Fellow

Daniel Lobo

Sociology, UC Berkeley
Computational Social Science Fellow

Krista Neumann

Public Health, UC Berkeley
Computational Social Science Fellow

Ángel Mendiola Ross

Sociology, Global Metropolitan Studies
Computational Social Science Fellow

Valentín Sierra

Social Welfare, UC Berkeley
Computational Social Science Fellow

Mahader Tamene

Epidemiology, Public Health
Computational Social Science Fellow

Solis Winters

Public Health, UC Berkeley
Computational Social Science Fellow