Artificial Intelligence
SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge
Linking Ammonium Nitrate-Aluminum (AN-AL) Post-Blast Residues to PreBlast Explosive Materials Using Isotope Ratio and Trace Elemental Analysis for Source Attribution, Technical Summary
Leveraging Gaming to Enhance Knowledge Graphs for Explainable Generative AI Applications
Advancing Justice for the Missing and Unidentified Through Research - 2024 NIJ Research Conference
Forensic science research is developing essential knowledge to fill in the holes in death investigations, creating new ways to identify challenging skeletal remains. These methods inform cause of death, time of death, and familial relationships to guide investigations, identify suspects, support prosecutions, and bring justice to families.
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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”
Stature Estimation Equations for Modern American Indians in the American Southwest
Differentiation of Regioisomeric N-Substituted Meta-Chlorophenylpiperazine Derivatives
Spatial analysis of social vulnerability and crime disparities through interpretable machine learning
AI R&D to Support Community Supervision: Integrated Dynamic Risk Assessment for Community Supervision (IDRACS), Final Report
AI Enabled Community Supervision for Criminal Justice Services
What FSSP Leaders Should Know About Artificial Intelligence And Its Application To Forensic Science In-Brief
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.