Crime prediction
Applying Community Tapestry Data to Public Safety
Can We Predict Long-term Community Crime Problems? The Estimation of Ecological Continuity to Model Risk Heterogeneity
Predicting Rapist Type From Crime-Scene Variables
Compstat and Organizational Change in the Lowell Police Department: Challenges and Opportunities
Predicting Demand for Service for Future Developments
Specifying the Relationship Between Arrestee Drug Test Results and Recidivism
Police Legitimacy and Predictive Policing
Place as the Focal Point: Developing a Theory for the DDACTS Model
Including Tourists in Crime Rate Calculations for New Casino Jurisdictions: What Difference Does It Make?
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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