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Oregon

Real-Time Crime Forecasting Challenge Webinar

October 2016

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.

Evidence-Based Policing: The Importance of Research and Evidence

July 2018
NIJ’s two Law Enforcement Advancing Data and Science programs encourage law enforcement officers and agencies to use data and research to inform their policies and practices. This panel convened leading practitioners and researchers to discuss evidence-based policing for an audience that includes the next generation of U.S. policing leadership. Panelists come from a variety of backgrounds and will draw from on-the-ground experience to discuss evidence-based policing as it relates to law enforcement training curriculums, practitioner-led trials, research clearinghouses, and other topics.