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                            Events
 Probabilistic Genotyping of Evidentiary DNA Typing Results - Module 6: Probabilistic Genotyping in Court Event Dates
              June 19, 2019, 12:00 am
Event Duration
              4 hours
Location
              Online

Register

Biological modeling, statistical theory, and the computer processing of probabilistic genotyping systems are based on long- standing principles, yet their usage in U.S. courts has been limited to the past few years. This module of the Probabilistic Genotyping of Evidentiary DNA Typing Results workshop series addresses topics relevant to the admissibility of probabilistic genotyping results and the presentation of results in criminal proceedings. Various decisions related to probabilistic genotyping will be summarized from a legal perspective. Three expert witnesses will review their approach to presenting DNA evidence in criminal proceedings.

**Speakers:**
John Buckleton – Institute of Environmental Science and Research, Auckland, New Zealand
Jerrilyn Conway – Federal Bureau of Investigation, Quantico, Virginia
Dawn Herkenham – Leidos, Alexandria, Virginia
Mark Perlin – Cybergenetics, Pittsburgh, Pennsylvania
View Course Page
  
  
          Details
Event Type
              Webinar
    Event Option(s)
          Online,
                        On demand

Sponsor(s) / Host(s)

National Institute of Justice (NIJ), U.S. Department of Justice;Forensic Technology Center of Excellence
    Contact
          NIJ Forensic Technology Center of Excellence

  Link
              If you have questions about this course, contact the FTCoE

  Registration Status
              Open

  Eligibility
              ​Free and open to all.
    
  
Read more about
    
            DNA (Deoxyribonucleic Acid)
        DNA typing
        Probabilistic genotyping
        Expert Witnesses
        Statistical analysis
        Federal Bureau of Investigation (FBI)
        Criminal Proceedings
        Environmental Sciences
        Forensic sciences
  
Date Created: August 8, 2019
    
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