Criminal justice research

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.

Change doesn't come easy, particularly within an institution as large and complex as the criminal justice system. Greg Berman, Director of the Center for Court Innovation, offered lessons from several efforts to make reform stick in criminal justice settings. In particular, he focused on the development of community courts — experimental court projects that are attempting to reduce both crime and incarceration in dozens of cities across the U.S. and around the world.

Professor Christopher Stone recently completed a study of police-on-police shootings as part of a task force he chaired in New York State. He reported on his findings and recommendations, exploring the role of race in policing decisions, methods to improve training and tactics to defuse police-on-police confrontations before they become fatal, and methods to improve the investigations of such shootings.

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.