Predictive Policing: Preventing Crime with Data and Analytics

 

Predictive Policing: Preventing Crime with Data and Analytics

Predictive Policing: Preventing Crime with Data and Analytics
Predictive Policing: Preventing Crime with Data and Analytics
In this report, Dr. Bachner tells compelling stories of how new policing approaches in communities are turning traditional police officers into “data detectives.”

Summary

Wednesday, September 18th, 2013 - 14:52
Author(s): 

In this report, Dr. Bachner tells compelling stories of how new policing approaches in communities are turning traditional police officers into “data detectives.”  Police departments across the country have adapted business techniques --  initially developed by retailers, such as Netflix and WalMart, to predict consumer behavior -- to predict criminal behavior.  The report presents case studies of the experiences of Santa Cruz, CA; Baltimore County, MD; and Richmond, VA, in using predictive policing as a new and effective tool to combat crime.

While this report focuses on the use of predictive techniques and tools for preventing crime in local communities, these techniques and tools can also be applied to other policy arenas, as well, such as the efforts by the Department of Housing and Urban Development to predict and prevent homelessness, or the Federal Emergency Management Agency’s efforts to identify and mitigate communities vulnerable to natural disasters.