Artificial Intelligence
Utilizing eDNA from Four Biological Taxa Associated with Geologic Evidence for Sample-to-Sample Comparisons and Study Site Separation
An examination of musculoskeletal markers in modern populations for forensic analysis and identification purposes
Developmental evaluation of a combinatorial qPCR multiplex for forensic body fluid identification
Finding the Missing and Unidentified: The Application of Predictive Modeling, Ground-Penetrating Radar, and Small Unmanned Aircraft-Mounted Infrared Imagery for the Detection of Unmarked Graves
Selectively analyzing and interpreting DNA from multiple donors with a full Single-Cell strategy
A Virtual Anthropological Approach to the Study of Commingled Human Remains
Advances in Spatial Statistical Methodology for Urban Crime
A Multi-Methodological Approach to Estimating Ancestry and Sex in Asian Groups for Forensic Casework
Statistical evaluation of forensic sequencing profiles
Skeletal Blast Trauma: determining the effect of known and experimental blast events on trauma patterns, fracture behavior, and blast scene recovery approaches
Advancing the Understanding of Immigration, Crime, and Crime Reporting at the Local Level with a Synthetic Population
Multi-Modal Analysis of Body Worn Camera Recordings: Evaluating Novel Methods for Measuring Police Implementation of Procedural Justice
Coplink: Database Detective
Tapping Into Artificial Intelligence: Advanced Technology to Prevent Crime and Support Reentry
Tapping Into Artificial Intelligence
Advanced Technology to Prevent Crime and Support Reentry
Specialized Smartphones Could Keep Released Offenders on Track for Successful Reentry
Specialized Smartphones Could Keep Released Persons on Track for Successful Reentry
A new line of research envisions mobile devices tapping into artificial intelligence to make reentry more efficient and more likely to succeed for those reentering supervisors, their supervisors, and communities.
History of NIJ Support for Face Recognition Technology
Algorithms that Mimic the Brain’s Processing Networks Preferred for Some Functions of Face Detection and Recognition Technology
Recently completed research supported by NIJ, closely comparing different types of facial analysis algorithms — including a long-time law enforcement workhorse — reveals that high-powered, deep neural networks can deliver improved performance.
Artificial Intelligence
Research supported by NIJ is helping to lead the way in applying artificial intelligence to address criminal justice needs, such as identifying individuals and their actions in videos relating to criminal activity or public safety, DNA analysis, gunshot detection, and crime forecasting.
On this page, find links to articles, awards, events, publications, and multimedia related to artificial intelligence.