Geospatial Analysis
Stable Isotope Analysis as a Geospatial Tool for Identification: Intra-Individual Isotopic Variability
Investigative and Prosecutorial Strategies for Mitigating Pathways to Radicalization: Creation of a Federal Terrorism Court Record Repository
INNOVATIVE METHODOLOGIES FOR ASSESSING RADICALIZATION RISK: RISK TERRAIN MODELING AND CONJUNCTIVE ANALYSIS
Infusing Community Policing Strategies into Hot Spots Policing Practices: The Impacts on Police-Community Relations in a Mid-Sized City
A Randomized Controlled Trial on Community Infused Problem-Oriented Policing in Crime Hotspots
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
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.