Articles
Machine Learning Analysis on Gunshot Recognition
Co-response and Homelessness: The SEPTA Transit Police SAVE Experiment
The Off-season of Dental Cementum Investigations. A Critical Appraisal of Season-of-death Prediction in Medico-legal Investigations
Recovery and Detection of Ignitable Liquid Residues from the Substrates by Solid Phase Microextraction – Direct Analysis in Real Time Mass Spectrometry
Correlates of Intimate Relationship Satisfaction Among Investigators of Child Sexual Abuse
A Self-assessment Tool for Helping Identify Police Burnout Among Investigators of Child Sexual Abuse Material
Police Responses to People Experiencing Homelessness
A Practical Guide to Interviewing Potential Human Trafficking Victims
The Women's Health Needs Study Among Women from Countries with High Prevalence of Female Genital Mutilation Living in the United States: Design, Methods, and Participant Characteristics
Securing Officer Buy-in When a Beneficial Technology Increases Workload: Best Practices for Implementing Gunshot Detection Technology
Lessons Learned Implementing Gunshot Detection Technology: Results of a Process Evaluation in Three Major Cities
Research in Brief: Three-City Evaluation of Gunshot Detection Technology
OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices
Advancing Situational and Developmental Approaches To Prevent Sexual Violence
Race and Rationality Revisited: An Empirical Examination of Differential Travel Patterns to Acquire Drugs Across Geographic Contexts
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.
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