Crime prediction
Including Tourists in Crime Rate Calculations for New Casino Jurisdictions: What Difference Does It Make?
Place as the Focal Point: Developing a Theory for the DDACTS Model
Considering Lead Poisoning as a Criminal Defense
Predictive Policing Symposium: A Strategic Discussion
Free Software Tool Can "PROVE" Value of Data Mining
Importance of Both Opportunity and Social Disorganization Theory in a Future Research Agenda to Advance Criminological Theory and Crime Prevention at Places
Implementing DDACTS in Baltimore County: Using Geographic Incident Patterns to Deploy Enforcement
Can We Predict Long-term Community Crime Problems? The Estimation of Ecological Continuity to Model Risk Heterogeneity
Behavioral Prediction and the Problem of Incapacitation
Proactive Policing: Using Geographic Analysis to Fight Crime
Integrating Crime and Traffic Crash Data in Nashville
Full Spectrum Use of GIS by Law Enforcement: It's Not Just About Mapping Crime
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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