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#4: Coding to Equalize Workforce Opportunities with Dr. Sreyoshi Bhaduri
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Manage episode 272234631 series 2618905
Content provided by CodeHS and Jeremy Keeshin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CodeHS and Jeremy Keeshin 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.
In this episode on Coding in the Wild, we interview Dr. Sreyoshi Bhaduri, Global People Research and Analytics lead at McGraw Hill. Sreyoshi uses her engineering background and interest in education to generate data-driven insights to improve culture, diversity, inclusion, leadership, and training in the workforce. "Coding is an integral part of people analytics and can help address challenges of inequities in the 21st century workforce by highlighting trends, predicting outcomes, and drawing insights to make sense of large datasets on employees at organizations." - Dr. Sreyoshi Bhaduri Recommended literature in this podcast on coding biases: - Book: Algorithms of Oppression by Safiya Noble - Documentary: Coded Bias
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6 episodes
MP3•Episode home
Manage episode 272234631 series 2618905
Content provided by CodeHS and Jeremy Keeshin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CodeHS and Jeremy Keeshin 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.
In this episode on Coding in the Wild, we interview Dr. Sreyoshi Bhaduri, Global People Research and Analytics lead at McGraw Hill. Sreyoshi uses her engineering background and interest in education to generate data-driven insights to improve culture, diversity, inclusion, leadership, and training in the workforce. "Coding is an integral part of people analytics and can help address challenges of inequities in the 21st century workforce by highlighting trends, predicting outcomes, and drawing insights to make sense of large datasets on employees at organizations." - Dr. Sreyoshi Bhaduri Recommended literature in this podcast on coding biases: - Book: Algorithms of Oppression by Safiya Noble - Documentary: Coded Bias
…
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6 episodes
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