Burglary

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.

Research tells us that a relatively small fraction of individuals experience a large proportion of violent victimizations. Thus, focusing on reducing repeat victimization might have a large impact on total rates of violence. However, research also tells us that most violent crime victims do not experience more than one incident during a six-month or one-year time period. As a result, special policies to prevent repeat violence may not be cost-effective for most victims.

The surge in incarceration since 1980 has been fueled in part by the mistaken belief that the population can be divided neatly into "good guys" and "bad guys." In fact, crime rates are not determined by the number of at-large criminals, any more than farm production is determined by the number of farmers. Crime is a choice, a choice that is influenced by available opportunities as much as by character. This perspective, drawn from economic theory, supports a multi-faceted approach to crime control. Dr.