Software Carpentry
Software Carpentry is a volunteer organization whose goal is to make scientists more productive and their work more reliable by teaching them basic computing skills.
The Impact of Racism on Trajectories of Substance Use, Mental Health and Legal System Contact from Adolescence to Young Adulthood
BIDS Faculty Affiliate Erin M. Kerrison, with colleagues from UCSF and Brown University, were awarded a 5-year (May 2022 – Feb 2027) $3.7M National Institute on Drug Abuse (NIDA) grant to investigate the Impact of Racism on Trajectories of Substance Use, Mental Health and Legal System Contact from Adolescence to Young Adulthood.
Understanding Urban Politics in Argentina and Brazil
BIDS Faculty Affiliate Alison Post offers this project (#2) through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
Estimated Displacement Risk (EDR) Model
Computational Precision Health
The joint UC Berkeley-UCSF Program in Computational Precision Health (CPH) will bridge medicine, statistics, and computation to improve the quality, efficiency, and equity of medicine and population health. BIDS Faculty Affiliate Maya Petersen is a CPH Co-Director, and CPH Core and Affiliate Faculty include BIDS Faculty Affiliates David Bamman, Joshua Blumenstock, and Bin Yu.
Evictions Study
The Politics of Policing Technologies: Tracking Technology Adoption in the State of California
BIDS Faculty Affiliate Alison Post offered this project through UC Berkeley's Undergraduate Research Apprentice Program (URAP) in Spring 2022
Subnational Brazilian Everyday and Pandemic Politics
BIDS Faculty Affiliate Alison Post offers this project (#1) through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
Open-source software for generating synthetic electronic health records
BIDS Health and Life Sciences Lead Maryam Vareth offers this project (#2) through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
Research access to electronic health record (EHR) data is limited due to patient privacy concerns. Creating synthetic EHR data (data that models realistic patterns and yet does not correspond to real patient records) provides a potential mechanism to expand data access.