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Legitimation by (Mis)identification: Credit, Discrimination, and The Racial Epistemology of Algorithmic Expansion

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Manage episode 514949971 series 3485757
Content provided by Social Science Matrix. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Social Science Matrix or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Recorded on September 22, 2025, this video features a talk by Davon Norris, Assistant Professor of Organizational Studies and Sociology (by courtesy) and Faculty Associate at the Stone Center for Inequality Dynamics at the University of Michigan.

Professor Norris's research is broadly oriented to understanding how our ways of determining what is valuable informs patterns of inequality with an acute focus on racism and racial inequality. Often, this means he studies the history, construction, and operation of various ratings, scores, and rankings whether that be at the government level (i.e., government credit ratings) or individual level (i.e., consumer credit scores). Other work that comes out of this interest in valuation processes further probes questions related to finance and the role of credit and debt in shaping inequality.

His research has been published in outlets such as Social Forces, Socio-Economic Review, Social Problems, and Sociological Forum, and has received awards from the Future of Privacy Forum and American Sociological Association. His work has been funded by the American Sociological Association. Davon received his Bachelor of Science in Accounting (2014), Master of Arts in Sociology (2018) and Ph.D. (2022) in Sociology all from The Ohio State University.

This talk, "Legitimation by (Mis)identification: Credit, Discrimination, and the Racial Epistemology of Algorithmic Expansion," was presented as part of a symposium series presented by the UC Berkeley Computational Research for Equity in the Legal System Training Program (CRELS), which trains doctoral students representing a variety of degree programs and expertise areas in the social sciences, computer science and statistics. (Learn more at: https://crels.berkeley.edu/.)

The event was co-sponsored by Social Science Matrix, the Berkeley Economy and Society Initiative (BESI) Tech Cluster, the Berkeley Institute for Data Science (BIDS), and the UC Berkeley Department of Sociology. Learn more at https://matrix.berkeley.edu.

A transcript of this talk is available at https://matrix.berkeley.edu/research-article/davon-norris

  continue reading

96 episodes

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Manage episode 514949971 series 3485757
Content provided by Social Science Matrix. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Social Science Matrix or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Recorded on September 22, 2025, this video features a talk by Davon Norris, Assistant Professor of Organizational Studies and Sociology (by courtesy) and Faculty Associate at the Stone Center for Inequality Dynamics at the University of Michigan.

Professor Norris's research is broadly oriented to understanding how our ways of determining what is valuable informs patterns of inequality with an acute focus on racism and racial inequality. Often, this means he studies the history, construction, and operation of various ratings, scores, and rankings whether that be at the government level (i.e., government credit ratings) or individual level (i.e., consumer credit scores). Other work that comes out of this interest in valuation processes further probes questions related to finance and the role of credit and debt in shaping inequality.

His research has been published in outlets such as Social Forces, Socio-Economic Review, Social Problems, and Sociological Forum, and has received awards from the Future of Privacy Forum and American Sociological Association. His work has been funded by the American Sociological Association. Davon received his Bachelor of Science in Accounting (2014), Master of Arts in Sociology (2018) and Ph.D. (2022) in Sociology all from The Ohio State University.

This talk, "Legitimation by (Mis)identification: Credit, Discrimination, and the Racial Epistemology of Algorithmic Expansion," was presented as part of a symposium series presented by the UC Berkeley Computational Research for Equity in the Legal System Training Program (CRELS), which trains doctoral students representing a variety of degree programs and expertise areas in the social sciences, computer science and statistics. (Learn more at: https://crels.berkeley.edu/.)

The event was co-sponsored by Social Science Matrix, the Berkeley Economy and Society Initiative (BESI) Tech Cluster, the Berkeley Institute for Data Science (BIDS), and the UC Berkeley Department of Sociology. Learn more at https://matrix.berkeley.edu.

A transcript of this talk is available at https://matrix.berkeley.edu/research-article/davon-norris

  continue reading

96 episodes

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