Encore | Predictive Policing: Forecasting Crime with Big Data, Part 2 episode artwork

EPISODE · Oct 15, 2025 · 46 MIN

Encore | Predictive Policing: Forecasting Crime with Big Data, Part 2

from Precinct 444: The National Law Enforcement Museum Podcast

Big data technologies are changing policing and it is important that everyone understands how they are affecting their community. What happens when an algorithm determines you are statistically likely to commit a violent act? What does it mean when a computer decides your police department should stakeout your neighborhood grocery? How can a police department make smart, data-driven decisions about their resources without losing the trust of their community? Revisit the Museum's program "Predictive Policing: Forecasting Crime with Big Data" from February 2019 to hear from a panel of experts for a discussion on these questions and more. Panelists from the DC region and other major cities spoke about their experience with predictive policing and what you should know of this new technology. Part two closes out this series with a discussion about the fears and concerns of using technology for crime prevention, and the importance of including community leaders and law enforcement when it comes to decision making. Lastly, there is a Q and A with the live audience. The Encore series of the Precinct 444 Podcast is an engaging look back at past Museum programs to find insight into historical and contemporary matters facing law enforcement.Featuring:Tracee Wilkins, Investigative Reporter, News4Professor Andrew Ferguson, University of D.C., author “The Rise of Big Data Policing”Tony Lee, Founder and Senior Pastor, Community of Hope AME Church, Hillcrest Heights (MD)Chief Jonathan Lewin, Bureau of Technical Services, Chief Information Officer, Chicago (IL) Police Departmenthttps://nleomf.org/museum/precinct-444/

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Big data technologies are changing policing and it is important that everyone understands how they are affecting their community. What happens when an algorithm determines you are statistically likely to commit a violent act? What does it mean when a computer decides your police department should stakeout your neighborhood grocery? How can a police department make smart, data-driven decisions about their resources without losing the trust of their community? Revisit the Museum's...

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Encore | Predictive Policing: Forecasting Crime with Big Data, Part 2

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