The Use of Predictive Analytics in Policing

Abstract

This issue brief is a product created through a partnership between BJA and CNA. The Using Analytics to Improve Officer Safety work examines granular incident data from 20152019 from several local law enforcement agencies to identify incident characteristics (characteristics specific to the incident and related to officer tactical response) associated with officer assaults, injuries, and line-of-duty deaths. Using machine learning techniques, CNA is producing a risk assessment model to link incident characteristics with officer safety outcomes. This work also entails working with participating agencies to identify best practices and recommendations to reduce risks to officer safety in the line of duty.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2020
Accession Number
AD1145696

Entities

People

  • Benjamin Carleton
  • Brittany Cunningham
  • Zoe Thorkildsen

Organizations

  • Center for Naval Analyses

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Big Data
  • California
  • Crime
  • Criminal Investigations
  • Criminals
  • Criminology
  • Data Mining
  • Domestic Violence
  • Geographic Information Systems
  • Information Science
  • Law Enforcement
  • Law Enforcement Officers
  • Machine Learning
  • Police
  • Predictive Modeling
  • Social Media
  • Societies

Readers

  • Aviation Safety Risk Assessment.
  • Distributed Systems and Data Platform Development
  • Government and Public Administration Law.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks