Law enforcement
IMPROVING POLICE DISCRETION RATIONALITY IN HANDLING PUBLIC INEBRIATES - PART 2
“To Protect and To Serve …and To Listen” Adding a New Dimension to Policing Los Angeles
Celebrating 10 Years of NIJ’s Law Enforcement Advancing Data and Science (LEADS) Scholars Program - 2024 NIJ Research Conference
In 2014, NIJ established the Law Enforcement Advancing Data and Science (LEADS) Scholars Program to support research-minded, mid-career sworn law enforcement officers working to integrate research into agency policy and practice. The LEADS Scholars Program helps participants develop independent research and provides support to identify current evidence on priority issues.
Review the YouTube Terms of Service and the Google Privacy Policy
The Impact of a Youth-focused Problem-oriented Policing Initiative on Crime: Findings from a Randomized Controlled Trial in Three Cities
Factors that Facilitate and Hinder Implementation of a Problem Oriented Policing Intervention in Crime Hot Spots: Suggestions to Improve Implementation Based on a Field Experiment
Assessing Transgender Hate Crime Victimization and LGBTQ Liaison Unit Response
Understanding and Evaluating Police Bias Crime Unit Practice and Impact
Spatial analysis of social vulnerability and crime disparities through interpretable machine learning
Improving Measurement of Community Safety Perceptions with Enhanced Data Inclusivity and Novel Use of Small Area Estimation through Respondent Driven Sampling: A Pilot Study in Detroit, Michigan
Using Intelligence Analysis to Understand and Address Fentanyl Distribution Networks in America’s Largest Port City
Alternative Traffic Enforcement: Identifying Areas for Future Research
National Institute of Justice Fiscal Year 2022 Annual Report
LGBTQ+ People’s Views of the Police: Friend or Foe?
Practices for Law Enforcement Interviews of Potential Human Trafficking Victims: A Scoping Review
Space-Time Association between Gunshot Detection Alerts, Calls for Service, and Police Enforcement in Chicago: Differences Across Citizen Race and Incident Type
Using Scammers’ Data to Estimate the Impact and Importance of Preventing Repeat Mail Fraud Victimization
Assessment of Sexual Assault Kit (SAK) Evidence Selection Leading to Development of SAK Evidence Machine-Learning Model (SAK-ML Model)
Immigrant Threat or Institutional Context? Examining Police Agency and County Context and the Implementation of the 287(g) Program
Reducing Gun Violence Through Integrated Forensic Evidence Collection, Analysis, and Sharing
Multi-pronged approach of data integration, collaboration, and intelligence-led policing has helped reduce gun violence in New Jersey.