Predictive policing can sound like science fiction, but it is neither scientific nor is it confined to fiction.
Police and sheriff’s departments across the US have used these systems to plug broad varieties of data into algorithmic models to try and predict not just who may be a criminal, but where crime may take place.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Emily Galvin-Almanza, cofounder of Partners for Justice and author of the upcoming book “The Price of Mercy,” about predictive policing, its impact on communities, and the dangerous outcomes that might arise when police offload their decision-making to data.

Tune in to listen to the full conversation!

Episode breakdown:

0:00 Intro
01:00 Our main story today is about predictive policing.
02:20 What is predictive policing?
03:20 Introducing Emily Galvin Almanza, co-founder of Partners for Justice, and author of the upcoming book, the Price of Mercy
04:40 Crime rates drop during Covid
06:00 Predictive policing technology study
08:20 Andrew Ferguson's book The Rise of Big Data Policing
12:00 Police decisions about watching specific areas
14:40 DNA databases role
22:40 Technology at schools
25:00 Big data and crime - National Crime Information Center
30:00 How community programs help lower crime rates
35:00 Safe driving research
41:40 Predictive policing algorithms and the future of this technology in preventing crime

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