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#4: Coding to Equalize Workforce Opportunities with Dr. Sreyoshi Bhaduri

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Manage episode 272234631 series 2618905
Indhold leveret af CodeHS and Jeremy Keeshin. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af CodeHS and Jeremy Keeshin eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/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
  continue reading

6 episoder

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Manage episode 272234631 series 2618905
Indhold leveret af CodeHS and Jeremy Keeshin. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af CodeHS and Jeremy Keeshin eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/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
  continue reading

6 episoder

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