Evidence Identification
FIU - Forensic Technology Center of Excellence
FIU - Forensic Technology Center of Excellence
Applied Research in the Characterization, Identification, and Comparison of Pigmented Fiber Evidence
Applied Research in the Characterization, Identification, and Comparison of Pigmented Fiber Evidence
FIU - Forensic Technology Center of Excellence
Evaluation of Digital Evidence Processing Efficiencies in Publicly Funded Crime Laboratories
Assessing the Strength of Trace Evidence Fracture Fits Through a Comprehensive, Systematic, and Quantifiable Approach
Research and Development of a Rapid Approach for Identification of Calliphoridae Species Entomological Forensic Evidence Based on DART-HRMS-derived Chemical Signatures and Chemometrics
Methyl-PrepDisc: A Centrifugal Microfluidic Device for Forensic DNA Methylation Sample Preparation
Personal Identification and Ancestral Characterization from Genetically Variant Peptides in Human Hair
The Viability of Virtual Peer Review and Microscopic Verification Versus Traditional On-site Review
Wrongful Convictions: The Latest Scientific Research & Implications for Law Enforcement
What does science tell us about case factors that can lead to a wrongful conviction? Dr. Jon Gould of American University will discuss the findings of the first large-scale empirical study that has identified ten statistically significant factors that distinguish a wrongful conviction from a "near miss." (A "near miss" is a case in which an innocent defendant was acquitted or had charges dismissed before trial). Following Dr. Gould's presentation, Mr. John R.
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