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...
Spatial analysis of social vulnerability and crime disparities through interpretable machine learning
FBI subaward to SDSU project 15PNIJ-23-GG-04232-MUMU "Statistical Foundations of Score-Based Methods in Forensic Identification of Source Problems"
Deciphering Severely Degraded License Plates
Technical note: Evaluation of missing data imputation methods for human osteometric measurements
Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms
Hyperbolic Graph Attention Network
Heterogeneous Information Network Embedding With Adversarial Disentangler
Perinatal Disorders and Small Birthweight Are Significantly Associated With Small Vertebral Neural Canal Size in a Contemporary Pediatric Autopsy Sample
Evaluation of Missing Data Imputation Methods for Human Osteometric Measurements
Distinguishing Infested Flour from Uninfested Flour through Chemometric Processing of DART-HRMS Data─Revealing the Presence of Tribolium castaneum, the Red Flour Beetle
Accurate THC Determinations in Seized Cannabis-derived Finished Products for Forensic Laboratories
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
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)
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning
Operationalizing the Individual versus Group Fairness Dichotomy for Recidivism Risk Assessment: US Legal Challenges and Technical Proposals
Expert Algorithm for Substance Identification Using Mass Spectrometry: Statistical Foundations in Unimolecular Reaction Rate Theory
2023 NIJ Research Conference Opening Ceremony
The theme of NIJ’s 2023 Research Conference was “evidence to action,” and our goal was to bring researchers and practitioners together to learn about the latest research evidence and how it can be implemented to promote safety, equity, and justice.
The opening ceremony included remarks from U.S. Attorney General Merrick B. Garland, Assistant Attorney General for the Office of Justice Programs Amy Solomon, and NIJ Director Nancy La Vigne.
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