Offenses
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.
Can We Predict Long-term Community Crime Problems? The Estimation of Ecological Continuity to Model Risk Heterogeneity
Mortgage Foreclosures and the Changing Mix of Crime in Micro-neighborhoods
Predictive Modeling Combining Short and Long-Term Crime Risk Potential, Final Report
Expansion of Microbial Forensics
Violence Against American Indian and Alaska Native Women and Men: Findings from a National Survey
This seminar provides the first set of estimates from a national large-scale survey of violence against women and men who identified themselves as American Indian or Alaska Native using detailed behaviorally specific questions on psychological aggression, coercive control and entrapment, physical violence, stalking, and sexual violence. These results are expected to raise awareness and understanding of violence experienced by American Indian and Alaska Native people.
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Police Integrity Lost: A Study of Law Enforcement Officers Arrested
Basics of Microbiology as Applied to Microbial Forensics
Learning about Microbial Forensics
Evaluating a Researcher-Practitioner Partnership and Field Experiment
Untested Evidence in Sexual Assault Cases
Many jurisdictions across the country are looking at the issue of sexual assault evidence that has not been submitted to a crime lab for testing
Community-Level Efforts to Prevent Violent Extremism
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