Drug use

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.

Researchers have devoted considerable attention to mass incarceration, specifically its magnitude, costs, and collateral consequences. In the face of economic constraints, strategies to reduce correctional populations while maintaining public safety are becoming a fiscal necessity. This panel will present strategies that states have undertaken to reduce incarceration rates while balancing taxpayer costs with ensuring public safety.

Professor Ed Latessa describes how his team and he assessed more than 550 programs and saw the best and the worst. Professor Latessa shared his lessons learned and examples of states that are trying to use evidence-based knowledge to improve correctional programs.

T.K. Logan discusses her study that looked at the impact of civil protective orders for domestic violence victims in five Kentucky jurisdictions. Civil protective orders, sometimes known as restraining orders, may cover various situations, such as ordering an assailant to avoid a victim's home and workplace or forbidding any contact with the victim, including by mail or telephone.