Crime analysis

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.

Bill King discusses the operations of the National Integrated Ballistic Information Network (NIBIN), a program through which firearms examiners at state and local crime laboratories compare tool marks on fired bullets or cartridges found at a crime scene to digitized images of ballistic evidence in a nationwide database.

Professor Lawrence Sherman explains how policing can prevent far more crimes than prison per dollar spent. His analysis of the cost-effectiveness of prison compared to policing suggests that states can cut their total budgets for justice and reduce crime by reallocating their spending on crime: less prison, more police.

Panelists discuss the application of research findings from an NIJ-sponsored study of sexual assault attrition to police practice in Los Angeles. There are three main focal points: (1) the mutual benefits of researcher/practitioner partnerships, (2) the implications of variation in police interpretation of UCR guidelines specific to clearing sexual assault (with an emphasis on cases involving nonstrangers), and (3) the content of specialized training that must be required for patrol officers and detectives who respond to and investigate sex crimes.