Crime prediction
Predicting Rapist Type From Crime-Scene Variables
Experimenting with Future-Oriented Analysis at Crime Hot Spots in Minneapolis
Specifying the Relationship Between Arrestee Drug Test Results and Recidivism
Implementing DDACTS in Baltimore County: Using Geographic Incident Patterns to Deploy Enforcement
Risk Terrain Modeling for Spatial Risk Assessment
Importance of Both Opportunity and Social Disorganization Theory in a Future Research Agenda to Advance Criminological Theory and Crime Prevention at Places
Including Tourists in Crime Rate Calculations for New Casino Jurisdictions: What Difference Does It Make?
Predicting Demand for Service for Future Developments
Considering Lead Poisoning as a Criminal Defense
Integrating Crime and Traffic Crash Data in Nashville
Free Software Tool Can "PROVE" Value of Data Mining
Pattern Recognition in Large Police Crime Data Sets
Getting Corrections on the Map
Behavioral Prediction and the Problem of Incapacitation
Predicting Neighborhood Risk of Crime
Priority Prosecution of the Serious Habitual Juvenile Offender: Roadblocks to Early Warning, Early Intervention, and Maximum Effectiveness -- The Philadelphia Study, Executive Summary of Findings, Final Report
Geography and Public Safety: A Quarterly Bulletin of Applied Geography for the Study of Crime and Public Safety, Volume 2, Issue 4
Real-Time Crime Forecasting Challenge Webinar
This webinar will offer a brief overview of the National Institute of Justice and the data science needs of the criminal justice field. In addition, it will provide details about the Crime Forecasting Challenge, including who can submit, how to retrieve datasets, and the submission categories. The overall goal of the Crime Forecasting Challenge is to harness recent advances in data science to drive innovation in algorithms that advance place-based crime forecasting.
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