Artificial Intelligence
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...
Using machine learning to assess rape reports: "Signaling" words about victims' credibility that predict investigative and prosecutorial outcomes
Using machine learning to assess rape reports: Sentiment analysis detection of officers' "signaling" about victims' credibility
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”
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning
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
Expert Algorithm for Substance Identification Using Mass Spectrometry: Statistical Foundations in Unimolecular Reaction Rate Theory
Audio Deepfake Detection for Forensics and Security
Research Rooted in Machine Learning Challenges Conventional Thinking About the Pathways to Violent Extremism
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.