Encore | Predictive Policing: Forecasting Crime with Big Data, Part 1 episode artwork

EPISODE · Oct 1, 2025 · 43 MIN

Encore | Predictive Policing: Forecasting Crime with Big Data, Part 1

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 one of this series begins with a discussion about whether this technology replaces or attempts to replace standard "walk the beat" policing, plus the costs associated with data gathering and interpretation, and how this affects the communities where this is implemented. Tune in to find out and be sure to check in later this month for part two!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 1

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