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Predictive policing

NIJ FY 2023 Invited to Apply - Support Activities under Section 13(d) of Executive Order 14074

Closing Date
Grants.gov Deadline
Application JustGrants Deadline

NIJ seeks applications for funding to study law enforcement use of probabilistic genotyping, forensic DNA phenotyping, and forensic investigative genetic genealogy technologies and law enforcement use of person-based predictive policing approaches as directed by Section 13(d) in Executive Order 14074 “Advancing Effective, Accountable Policing and Criminal Justice Practices to Enhance Public Trust and Public Safety.” T

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.

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LEADS Scholar Spotlight — Reducing Gun Violence

May 2018
Series
Law Enforcement Advancing Data and Science Program Spotlight
Cory Nelson, a captain with the Madison Police Department in Wisconsin and a Class of 2015 scholar of NIJ’s Law Enforcement Advancing Data and Science (LEADS) Program, speaks about how he was able to reduce gun violence in Madison thanks to implementing the Koper Curve Theory. He learned of this new principle as part of the LEADS Program when he attended the Evidence-Based Policing Symposium at George Mason University earlier this year.

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LEADS Scholar Spotlight — Predictive Policing Algorithms

May 2018
Series
Law Enforcement Advancing Data and Science Program Spotlight
Shon Barnes, a deputy police chief with the Salisbury Police Department in North Carolina and a Class of 2015 scholar of NIJ’s Law Enforcement Advancing Data and Science (LEADS) Program, explains predictive policing and details a quasi-experiment that his department performed. He credits the LEADS Scholarship Program with helping him understand data and ask the right questions.

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