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Policing strategies

Perspectives on Research and Evidence-Based Policing

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Every year, NIJ supports 30 midcareer, research-minded law enforcement professionals to take part in professional development and travel opportunities, network, and contribute to the policing and research communities through the Law Enforcement Advancing Data and Science (LEADS) Scholars program. The LEADS scholars are both practitioners and researchers. They work in the field while simultaneously striving to evaluate and improve the work done in their departments...

NIJ's Law Enforcement Advancing Data and Science Scholars Program for Civilians

New scholars selected!

Meet the 2024 class of scholars.

NIJ typically accepts applications for new scholars in the spring.

The Law Enforcement Advancing Data and Science (LEADS) Civilians program offers a unique opportunity to engage and partner with other NIJ LEADS Scholars, all of whom are mid-career police officers, fellow civilians, and academics dedicated to advancing the police profession through science. 

The program has...

NIJ's Law Enforcement Advancing Data and Science (LEADS) Scholars Programs

New scholars selected!

Meet the 2024 class of scholars.

The National Institute of Justice’s (NIJ) Law Enforcement Advancing Data and Science (LEADS) Scholars Program strengthens the research capabilities of law enforcement professionals and agencies. Reflecting NIJ’s commitment to improving police policy and practice through scientific evidence, the LEADS Scholars Program develops and empowers the next generation of American law enforcement leaders to conduct...

NIJ LEADS Program Increases Research Capabilities of Law Enforcement Officers

October 2019

This video, produced for IACPTV, provides an overview of the NIJ Law Enforcement Advancing Data and Science (LEADS) program. NIJ LEADS Scholars from Dayton and Newark police departments provide an overview of the LEADS program as they describe their projects and experiences working in the program.

Hear from LEADS scholars Major Wendy Stiver, Dayton Police Department, and Captain Ivonne Roman, Newark Police Department.

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.

NIJ Journal Issue No. 239

Journal
National Institute of Justice Journal
Date Published
April 1999
Agencies
NIJ
Publication Type
Collected Work

The NIJ/IACP Partnership

January 2016

This video, featuring NIJ Director Nancy Rodriguez and Hassan Aden of the International Association of Chiefs of Police (IACP), describes the partnership between NIJ and IACP and how the two organizations are linking what we know about what works in policing to the field.

NIJ’s Law Enforcement Advancing Data and Science (LEADS) Program

March 2016

This video, featuring NIJ Director Nancy Rodriguez, Hassan Aden of the International Association of Chiefs of Police (IACP), and two scholars from the 2014 Law Enforcement Advancing Data and Science (LEADS) program, describes the LEADS program, how NIJ and IACP are building the next generation of law enforcement leadership, and how the program has benefited the scholars.

Director’s Message: Proactive Policing — What We Know and What We Don’t Know, Yet

There essentially are two ways to police: reactive and proactive. Reactive policing is epitomized by officers responding to calls-for-service. Proactive policing is getting out in front of events in the hopes of preventing crimes and working with the community to reduce crimes.

Proactive policing strategies hold great promise to prevent and reduce crime and potentially improve relations between officers and the communities they serve. However...