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NCJRS Celebrates National Library Week April 12-18

National Library Week

Started in 1958, National Library Week is a nationwide observance celebrated by all types of libraries - including the NCJRS Virtual Library. NCJRS invites you to explore the breadth and scope of the NCJRS Virtual Library collection and services. With more than 220,000 collection documents and 60,000 online resources, including all known Office of Justice Programs works, it is one of the world’s largest criminal justice special collections.

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NCJRS Abstract

The document referenced below is part of the NCJRS Library collection.
To conduct further searches of the collection, visit the NCJRS Abstracts Database.

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NCJ Number: NCJ 243830   Add to Shopping cart   Find in a Library
Title: Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations
  Document URL: PDF 
Author(s): Walter L. Perry ; Brian McInnis ; Carter C. Price ; Susan C. Smith ; John S. Hollywood
Corporate Author: Rand Corporation
United States of America
Date Published: 09/2013
Page Count: 189
  Annotation: This project developed a reference guide for law enforcement agencies interested in predictive policing; it assesses the most promising technical tools for making predictions as well as the most promising tactical approaches for acting on predictions.
Abstract: “Predictive policing” is defined as “the application of analytical techniques - particularly quantitative techniques - to identify likely targets for police intervention and prevent crime or solve past crimes by making statistical predictions.” This study determined that predictive-policing methods can be divided into four broad categories: methods for predicting crimes, methods for predicting offenders, methods for predicting perpetrators’ identities, and methods for predicting crime victims. Methods used in each of these predictive categories are outlined. For the predictive focus within each broad predictive category, tables distinguish “conventional crime analysis” (low to moderate data demand and complexity) and “predictive analytics” (large data demand and high complexity). In designing police interventions based on predictive analysis, this study conceives this as part of a “comprehensive business process.” At the core of this process is a four-step cycle. The first two steps involve collecting and analyzing crime, incident, and offender data in order to develop predictions. The third step consists of conducting police operations that intervene to prevent predicted threats to public safety. The interventions must take into account the personnel and financial resources available. The fourth step involves the implementation of interventions. This includes rapid assessment that determines whether or not the implementation faithfully follows the intervention’s design, as well as the impact of the intervention based on relevant data collection and analysis. The study also addresses predictive policing myths and pitfalls. The recommendations address police agencies (the buyer), vendors of predictive tools, and “crime fighters” (those who implement interventions based on predictive analysis). 31 figures, 9 tables, and a 223-item bibliography
Main Term(s): Police policies and procedures
Index Term(s): Prediction ; Crime prediction ; Crime analysis ; Police management ; Criminality prediction ; Proactive police units ; Police crime-prevention ; Juvenile delinquency prediction ; Police crime analysis training ; NIJ grant-related documents
Sponsoring Agency: National Institute of Justice (NIJ)
US Department of Justice
Office of Justice Programs
United States of America
Grant Number: 2010-IJ-CX-K007
Sale Source: NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Type: Report (Study/Research) ; Report (Grant Sponsored)
Country: United States of America
Language: English
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=265907

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