A Whirlwind Tour of UC Berkeley’s Data Science Education Program

Cathryn Carson holds the Thomas M. Siebel Presidential Chair in the History of Science at the University of California, Berkeley. Before receiving her Ph.D. in History of Science from Harvard University, she was trained in condensed matter physics. Her research deals with the intellectual, political, and institutional history of contemporary science, including theoretical physics and data science. She has served as Associate Dean of Social Sciences, founding Director of the Social Sciences Data Laboratory (D-Lab), founding Senior Fellow of the Berkeley Institute for Data Science, Faculty Lead of the Data Science Education Program, and Chair of the Faculty Advisory Board for Berkeley's Data Science Planning Initiative, which developed the blueprint for Berkeley’s organizational realignment around data science. In 2019-20, she served as Associate Dean for Strategy and Planning for the Division of Computing, Data Science, and Society. She was a co-I for the Moore/Sloan Data Science Environments.

Chris Holdgraf was formerly a BIDS Data Science Fellow and Community Architect for UC Berkeley's Data Science Education Program. His background is in cognitive and computational neuroscience, where he used predictive models to understand the auditory system in the human brain. He's interested in the boundary between technology, open-source software, and scientific workflows, as well as creating new pathways for this kind of work in science and the academy. He's a core member of Project Jupyter, specifically working with JupyterHub and Binder, two open-source projects that make it easier for researchers and educators to do their work in the cloud. He works on these core tools, along with research and educational projects that use these tools at Berkeley and in the broader open science community.