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Using Machine Learning to Predict—and Prevent—Police Misconduct

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Indhold leveret af Becker Friedman Institute at UChicago. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Becker Friedman Institute at UChicago 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 the wake of numerous high-profile incidents of police use of force, particularly against Black Americans, law enforcement agencies across the United States are confronting issues of officer misconduct. Whether such misconduct is preventable depends in part on whether it is predictable. In this episode of The Pie, Greg Stoddard, Senior Research Director for the Crime Lab and Education Lab, discusses recent research using administrative data from the Chicago Police Department to predict officers misconduct, before it happens.

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101 episoder

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Manage episode 432839555 series 2660603
Indhold leveret af Becker Friedman Institute at UChicago. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Becker Friedman Institute at UChicago 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 the wake of numerous high-profile incidents of police use of force, particularly against Black Americans, law enforcement agencies across the United States are confronting issues of officer misconduct. Whether such misconduct is preventable depends in part on whether it is predictable. In this episode of The Pie, Greg Stoddard, Senior Research Director for the Crime Lab and Education Lab, discusses recent research using administrative data from the Chicago Police Department to predict officers misconduct, before it happens.

  continue reading

101 episoder

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