Race + Data Science Lecture Series
About
The Race + Data Science Lecture Series aims to celebrate and advance research in the areas of race and data, engineering, and computational science.
With this series of events, our goal is to improve how we as data scientists and data-adjacent researchers speak about race. Through wide distribution of our speaker’s research, we envision that these talks can lead to the discovery of important resources about race, inequity, and emerging applications. This series is funded by support from the MacArthur Foundation and New America.
Recordings
View the archive of past lectures here. Lectures will be posted at the close of each event on DSI’s YouTube channel.
Series Archive
William Isaac
Senior Research Scientist, DeepMind | Thursday, September 16, 2021
Abeba Birhane
PhD Candidate, School of Computer Science, University College Dublin | Wednesday, September 29, 2021
Renée Cummings
Data Activist in Residence, School of Data Science, University of Virginia | Wednesday, October 6, 2021
Maria Rodriguez
Assistant Professor of Social Work, University at Buffalo | Wednesday, October 20, 2021
Deen Freelon
Associate Professor, Hussman School of Journalism and Media, UNC Chapel Hill | Wednesday, November 3, 2021
Danaë Metaxa
PhD, Computer Science, Stanford University | Wednesday, November 10, 2021
Brandeis Marshall
Professor of Computer Science, Computer and Information Sciences Department, Spelman College | Wednesday, December 1, 2021
Jasmine McNealy
Associate Professor, College of Journalism and Communications, University of Florida | Wednesday, December 8, 2021
Ali Alkhatib
Director, Center for Applied Data Ethics, University of San Francisco | Tuesday, March 8, 2022