Evidence analysis
Selectively analyzing and interpreting DNA from multiple donors with a full Single-Cell strategy
A Virtual Anthropological Approach to the Study of Commingled Human Remains
Improving Crime Lab Evidence Analysis and Efficiency in Utah in Support of DNA/Biology, Chemistry/Trace, Firearms and Impression Casework
PLM/Microprobe: An Electron Microprobe for Use on a Light Microscope Stage Designed for Trace Evidence Analysis: Final Report
New Mexico: Forensic DNA Laboratory Improvement Program; Final Report
Integrated Sample Cleanup and Capillary Array Electrophoresis Microchip for Forensic Short Tandem Repeat Analysis
Strengthening the Evaluation and Interpretation of Glass Evidence Using Statistical Analysis of Collection Sets and Databases of Refractive Index and Elemental Data
Internal Validation of STRmix (TM) for the Interpretation of Single Source and Mixed DNA Profiles
Capillary Zone Electrophoresis Automated Fraction Collection for the Forensic Analysis of Sexual Assault Evidence
mtGenome Sequencing of Human Hair Shafts Using an MPS Approach
Reducing Gun Violence through Integrated Forensic Evidence Collection, Analysis and Sharing
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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