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                            Events
 PACETM: Rapid and Automated Artifact Identification and Number of Contributor Prediction Event Dates
              July 28, 2020, 1:00 pm
 – 2:00 pmEastern
Event Duration
              1 hour
Location
              Online

Register

The PACETM software introduces a fully continuous, machine learning tool to the forensic DNA community that enables fast and accurate artifact management and predicts the number of contributors (NOC) in complex DNA mixtures. With NIJ backing, the researchers at Syracuse University’s Forensic and National Security Sciences Institute were able to reach numerous crime laboratories and stakeholders to gain valuable insight that accelerated the technology on the path to commercialization. Syracuse University has licensed the software to NicheVision Forensics, which also funded further development and has made the product available to the community. The PACETM tool (Probabilistic Assessment for Contributor Estimation) is now available as software that is tailored toward the end user and can be seamlessly integrated into crime laboratory workflows.

The webinar will highlight the capacity of PACETM to:

Estimate the number of contributors in a matter of seconds, eliminating a critical, time-intensive data-interpretation step that is contributing to growing backlog issues.
	Enable analysts to arrive at more confident conclusions by generating number of contributor estimates based on tested machine learning models and serves as a quality control measure in the analysis of complex data.
	Manage artifacts by automating the identification of artifacts and subsequent correction, remove the effects of spectral overlap, and comprehensively model traditional and non-traditional stutter.
	Accommodate different DNA profiling kits and runs on standard computers, facilitating broader adoption that can be seamlessly integrated into existing workflows.
View Full Event 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 Dates
              June 25, 2020 - July 28, 2020

  Registration Status
              Open

  Eligibility
              Free and open to all

  Credits
              Certificate of completion
    
  
Read more about
    
            DNA (Deoxyribonucleic Acid)
        Syracuse University
        Forensic sciences
        Trace DNA
        Data analysis
        Crime laboratories
        National security
        Forensic Technology Center of Excellence
  
Date Created: June 29, 2020
    
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