Berkeley Institute for Data Science (BIDS)

BIDS logoBIDS is a central hub of data-intensive research, open source software, and data science training programs at UC Berkeley.

Who we are

BIDS programs and initiatives are designed to facilitate collaboration across an increasingly diverse and active data science community of domain experts from the life, social, and physical sciences, as well as methodological experts from computer science, statistics, and applied mathematics. Since its launch in 2013, BIDS has cultivated an environment of open inquiry and discovery for data-intensive research.  As an integral part of UC Berkeley’s Division of Computing, Data Science, and Society (CDSS), launched in 2019, we continue to seek new and creative ways to cross traditional academic boundaries and engage a diverse community of researchers representing a wide array of disciplines.

How We Work

BIDS supports innovative cross-disciplinary research for faculty, staff, postdoctoral fellows, and graduate and undergraduate research in a variety of fields across the life, health, social, and physical sciences, the humanities, and in computer science, statistics, and applied mathematics. BIDS also contributes to open source, open science, and open data resource communities in support of academic research. BIDS Data Science Training Programs facilitate innovative collaboration across all research disciplines, providing a variety of opportunities for researchers at all levels, including the BIDS Cross Domain Initiatives (XDs), various Fellowship and Internship Programs, as well as data science education and outreach programs. BIDS hosts a variety of Events that are open to the public – ranging from discussion groups and workshops to training seminars, webinars, and lecture series – and many previous events are available on video. BIDS has created and actively maintains a reputation of open engagement, which has been an integral factor in fostering collaboration and data science engagement with research.

BIDS - 190 Doe
The Berkeley Institute for Data Science (BIDS) in 190 Doe Library. 


Saul Perlmutter
(510) 642-3596
Staff contact
Ashish Sahni
Mailing address

190 Doe Library
University of California, Berkeley
Berkeley, California, 94720
(510) 664-4506

In News

Advancing New Battery Design With Deep Learning

A team of researchers from Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of California, Irvine (UC Irvine) recently moved this effort forward with the development of deep-learning algorithms to automate the quality control and assessment of new battery designs.

Computing and Data Sciences Improve What We Know About Wildfires and How to Fight Them

Our understanding, planning, and response to wildfires benefit from connections with data and computing sciences. Recent developments in machine learning and simulations can help first responders detect fires earlier, predict fires’ paths and limit blazes quickly. Through collaborations with practitioners in other fields like microbiology and forest management, these tools are answering previously intractable questions about fires that can inform policy and practice.