Using Machine Learning to Predict—and Prevent—Police Misconduct episode artwork

EPISODE · Aug 6, 2024 · 26 MIN

Using Machine Learning to Predict—and Prevent—Police Misconduct

from The Pie: An Economics Podcast · host Becker Friedman Institute at UChicago

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.

Episode metadata supplied by the publisher feed · Published Aug 6, 2024

Embed this episode

NOW PLAYING

Using Machine Learning to Predict—and Prevent—Police Misconduct

0:00 26:57

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Pie: An Economics Podcast?

This episode is 26 minutes long.

When was this The Pie: An Economics Podcast episode published?

This episode was published on August 6, 2024.

Can I download this The Pie: An Economics Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!