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Episode 8: Conversation with Sarah Brayne on Predictive Policing and Surveillance

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Manage episode 341029603 series 3394510
Content provided by Algorithmic Governance Research Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Algorithmic Governance Research Network 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://player.fm/legal.

Joining me today is Sarah Brayne, Assistant Professor at the Department of Sociology at the University of Texas at Austin, to discuss her book Predict and Surveil: Data, Discretion, and the Future of Policing published in 2020 with Oxford University Press.

© Tereza Østbø Kuldova, 2021

Produced with the financial support of The Research Council of Norway under project no. 313626 – Algorithmic Governance and Cultures of Policing: Comparative Perspectives from Norway, India, Brazil, Russia, and South Africa (AGOPOL).

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14 episodes

Artwork
iconShare
 
Manage episode 341029603 series 3394510
Content provided by Algorithmic Governance Research Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Algorithmic Governance Research Network 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://player.fm/legal.

Joining me today is Sarah Brayne, Assistant Professor at the Department of Sociology at the University of Texas at Austin, to discuss her book Predict and Surveil: Data, Discretion, and the Future of Policing published in 2020 with Oxford University Press.

© Tereza Østbø Kuldova, 2021

Produced with the financial support of The Research Council of Norway under project no. 313626 – Algorithmic Governance and Cultures of Policing: Comparative Perspectives from Norway, India, Brazil, Russia, and South Africa (AGOPOL).

  continue reading

14 episodes

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