Artificial Intelligence
Forensic Biology Research and Development at NIJ
Forensic Biology involves the collection, study, and analysis of biological material on evidence from crime scenes to provide unbiased, scientific reports for a criminal or civil court case to give a better understanding of the crime that occurred. Historically, one of the earliest forensic biologists was Sir Alec Jeffreys in 1985 using DNA fingerprinting or DNA typing to individually identify humans.[1] He targeted variable...
Effects of insects and soils on the assembly of universal microbial decomposers and prediction of postmortem interval
MOSAIC: Unifying Methods of Sex, Stature, Affinity, & Age for Identification through Computational Standardization
Harnessing Artificial Intelligence to Evaluate Microscopic Characteristics of Skeletal Trauma
Statistical Foundations of Score-Based Methods in Forensic Identification of Source Problems”
Spatial analysis of social vulnerability and crime disparities through interpretable machine learning
Attitudes of Reporting Officers Extracted From Incident Reports Can Affect Rape Case Outcomes
Social scientists and data scientists use a powerful machine learning algorithm to conduct a novel criminal justice process study.
FBI subaward to SDSU project 15PNIJ-23-GG-04232-MUMU "Statistical Foundations of Score-Based Methods in Forensic Identification of Source Problems"
Accurate THC Determinations in Seized Cannabis-derived Finished Products for Forensic Laboratories
Webinar: NIJ Research Assistantship Program Informational Webinar
This recorded webinar, originally held September 28, 2023, provides information on NIJ’s Research Assistantship Program, which offers highly qualified doctoral students the opportunity to bring their expertise to NIJ to work across offices and program areas to obtain a practical and applied research experience. The program is a research focused professional development opportunity for doctoral students from all academic disciplines. NIJ...
Policing Leadership and Accountability: Harnessing Big Data and Causal Inference for Evaluating Police Reform Practices
Recovery and Analysis of Less Volatile Components for the Identification of Ignitable Liquid Residues in Fire Debris - Continuation of current NIJ-funded project (2020-DQ-BX-0003)
Statistical Foundations of Score-Based Methods in Forensic Identification of Source Problems”
Developing and Validating Standards for Dental Cementum Age-at-Death and Season-of-Death Estimation
Operationalizing the Individual versus Group Fairness Dichotomy for Recidivism Risk Assessment: US Legal Challenges and Technical Proposals
Regulating Data Bias in Intelligent Decision Making
Audio Deepfake Detection for Forensics and Security
Research Rooted in Machine Learning Challenges Conventional Thinking About the Pathways to Violent Extremism
NIJ-funded research challenges some common assumptions about what motivates young people to engage in violent extremism.