Social Science / Data Science

The Social Science / Data Science series features presentations related to the use of data in social science research. This series is presented in partnership with UC Berkeley’s D-Lab.

Social Science / Data Science

Recap

Published April 15, 2023

Jo Guldi: Towards a Practice of Text Mining to Understand Change Over Historical Time

Recorded on March 8, 2023, this video features a lecture by Jo Guldi, Professor of History and Practicing Data Scientist at Southern Methodist University. Co-sponsored by Social Science Matrix, the UC Berkeley Department of History, and D-Lab, the talk was presented as part of the Social Science / Data Science event series.

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Social Science / Data Science

Recap

Published October 14, 2021

Doing Academic Research with Amazon Mechanical Turk

Recorded on October 1, 2021, this panel brought together researchers to share their experience with the Amazon Mechanical Turk platform. Moderated by UC Berkeley psychology professor Serena Chen, the panel featured Ali Alkhatib, Interim director of the Center for Applied Data Ethics at the University of San Francisco; Stefano DellaVigna, Daniel Koshland, Sr. Distinguished Professor of Economics and Professor of Business Administration at UC Berkeley; and Gabriel Lenz, Professor of Political Science at UC Berkeley.

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Social Science / Data Science

Recap

Published September 1, 2021

Julia Lane, NYU: “Democratizing our Data”

On August 26, 2021, Social Science Matrix and the D-Lab presented a lecture by Julia Lane, Professor at the NYU Wagner Graduate School of Public Service, at the NYU Center for Urban Science and Progress, and a NYU Provostial Fellow for Innovation Analytic. The talk, entitled "Democratizing Our Data," provided an overview of a research collaboration designed to improve the sharing of data across state agencies.

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