Crime Mapping
Crime Mapping and Hot Spots Policing - NIJ Research for the Real World Seminar
Video: Science at the National Institute of Justice
Capturing Human Trafficking Victimization Through Crime Reporting
Large-Scale Deep Point Process Models for Crime Forecasting
Real Time Crime Forecasting Challenge: Post-Mortem Analysis Challenge Performance
Context and Spatial Nuance Inside a Neighborhood's Drug Hotspot: Implications for the Crime-Health Nexus
Rotational Grid, PAI-Maximizing Crime Forecasts
A Theory-Driven Algorithm for Real-Time Crime Hot Spot Forecasting
Open Source Crime Prediction for the National Institute of Justice
Analysis and Prediction of Call For Service Data
CrimeStat III--A Spatial Statistics Program for the Analysis of Crime Incident Locations
Development of Advanced Computation and Geographic Visualization Methods for Geospatial and Temporal Strategic Risk Assessment of Crime
A Blueprint for Interagency and Cross-Jurisdictional Data Sharing
TECHBeat, May 2017
Research on Repeat Crime Risk Leads to Software Tool Development
Spatial Configuration of Places Related to Homicide Events in Washington, DC, 1990-2002
Point process modeling with spatiotemporal covariates for predicting crime
Development of Advanced Computational and Geographic Visualization Methods for Geospatial and Temporal Strategic Risk Assessment of Crime
New Advances in Forensic Science, Presented by Dr. Henry Lee
Hot Spots Policing - NIJ Research for the Real World Seminar
Real-Time Crime Forecasting Challenge
The Real-Time Crime Forecasting Challenge sought to harness the advances in data science to address the challenges of crime and justice. It encouraged data scientists across all scientific disciplines to foster innovation in forecasting methods. The goal was to develop algorithms that advance place-based crime forecasting through the use of data from one police jurisdiction.