BIDS’ new Diversity and Inclusion Working Group to host workshop series for underrepresented undergraduates

January 31, 2019

BIDS has formed a new working group to celebrate and help support and promote the diverse perspectives and identities of Berkeley’s active data science community.

The BIDS Diversity and Inclusion Working Group will work in concert with other BIDS working groups to strengthen the campus data science community. Initially, this new effort will focus on developing programs and events that promote diversity and inclusion in the broader field of data science — including events that support and promote individuals representing diverse demographics, backgrounds, and experiences — that will help them to navigate and succeed in data science at Berkeley and beyond. They will also support and partner with existing campus efforts that work to increase diversity and inclusion in data science.

For the Spring 2019 semester, the working group will host a series of three workshop/dinner events designed especially for underrepresented undergraduates interested in data science at Berkeley, to enable them to meet new colleagues and explore campus resources, and to consider a potential future in data science and data-intensive research. The Fostering diverse and inclusive data science at Berkeley series will include a mix of keynote talks, panel discussions, roundtable q&a sessions, and plenty of opportunities for networking. Invited speakers include Berkeley faculty and specialists and leading industry data scientists.

Register now for the first workshop:
What you can do with data science
Wednesday, February 13
3:30-8:00 PM / 190 Doe Library

Full details about upcoming events will be posted as soon as they become available:

Data-intensive research
Tuesday, March 5, 2019
3:30-8:00 PM / 190 Doe Library

Beyond academic data science
Monday, April 8, 2019
3:30-8:00 PM / 190 Doe Library

For further information, visit

Featured Fellows

Nelle Varoquaux


Marla Stuart

Social Welfare

Sara Stoudt

BIDS Alum - Data Science Fellow

Stacey Dorton

Administrative / Operations Manager

R. Stuart Geiger