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Episode 6 - Sarah Sachs: Studying Algorithms Ethnographically
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Manage episode 246454835 series 2464710
Content provided by Ethnography Atelier. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ethnography Atelier 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://staging.podcastplayer.com/legal.
In this conversation with Dr Sarah Sachs, we explored the challenges involved in studying algorithms at work. Sarah’s research examines how data analytic technologies are reconfiguring work and organizations. Her dissertation “The Algorithm at Work: The Reconfiguration of Work and Expertise in the Making of Similarity in Art Data” is an ethnography of team practice in the DNArt project. In the episode, we talked about the work involved in making algorithms work, the strengths and limits of studying how organizations and people work with and around new technologies, and the challenges of sampling and gaining access to such phenomena in light of the growing interest around machine learning and AI.
…
continue reading
20 episodes
MP3•Episode home
Manage episode 246454835 series 2464710
Content provided by Ethnography Atelier. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ethnography Atelier 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://staging.podcastplayer.com/legal.
In this conversation with Dr Sarah Sachs, we explored the challenges involved in studying algorithms at work. Sarah’s research examines how data analytic technologies are reconfiguring work and organizations. Her dissertation “The Algorithm at Work: The Reconfiguration of Work and Expertise in the Making of Similarity in Art Data” is an ethnography of team practice in the DNArt project. In the episode, we talked about the work involved in making algorithms work, the strengths and limits of studying how organizations and people work with and around new technologies, and the challenges of sampling and gaining access to such phenomena in light of the growing interest around machine learning and AI.
…
continue reading
20 episodes
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