Data analysis
Using Artificial Intelligence Technologies to Expose Darknet Opioid Traffickers
Testing a ''not sure'' instruction as a prophylactic against the harmful impact of system and estimator variables on lineup identification accuracy
NIJ's 50th Anniversary - Looking Back, Looking Forward
Review the YouTube Terms of Service and the Google Privacy Policy
Using Social Media and Social Network Analysis in Law Enforcement
Evidence-Based Policing: The Importance of Research and Evidence
Review the YouTube Terms of Service and the Google Privacy Policy
Law Enforcement Advancing Data and Science (LEADS) Programs: Strategic Research Plan, 2018-2023
Research Provides Guidance on Building Effective Counterterrorism Programs
Harmonizing Police Technology Acquisitions With Policing Strategy
Evaluating the Skin Microbiome as Trace Evidence
Notes From the Field: Opioid Crisis - Police and Population-Level Intervention
Notes From the Field: Understanding the Opioid Crisis Through Data and All-Stakeholder Reviews
Notes From the Field: Opioid Crisis - Lessons Learned From the Front Lines of the Opioid Epidemic
NIJ LEADS Program Overview -- Empowering Agencies to Integrate Research Into Practice
LEADS Scholar Spotlight -- Predictive Policing Algorithms
NIJ LEADS Program Overview — Empowering Agencies to Integrate Research into Practice
Review the YouTube Terms of Service and the Google Privacy Policy
Identifying Law Enforcement Needs for Access to Digital Evidence in Remote Data Centers
Solving Crimes with Soil Bacteria
Sexual Assault Response Team (SART) Functioning and Effectiveness: Findings From the National SART Project
Evaluation of the Shreveport Predictive Policing Experiment, web article
Creating a Framework for Criminal Justice Information Sharing
Evaluation of the Shreveport Predictive Policing Experiment
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.