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Property crime

LEADS Scholar Spotlight - Optimal Investigator Caseloads

October 2018
Series
Law Enforcement Advancing Data and Science Program Spotlight
Daniel Stewart, a captain in the Oklahoma City Police Department and Class of 2016 Scholar of NIJ’s Law Enforcement Advancing Data and Science (LEADS) Program, discusses research he has conducted on investigator caseloads as commander of a property crimes unit with his police department. He also speaks about the impact of the LEADS program and network on his research and professional career.

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Evidence-Based Policing: The Importance of Research and Evidence

July 2018
Series
Research for the Real World
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.

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Evaluation of the Shreveport Predictive Policing Experiment

Date Published
March 6, 2018

NIJ-funded researchers evaluated an experiment in which Shreveport Police Department compared a predictive policing model focused on forecasting the likelihood of property crime occurring within block-sized areas against a hot spots policing approach.