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  • ICYMI Past Webinar: 'Sufficiency' in Friction Ridge Examination

ICYMI Past Webinar: 'Sufficiency' in Friction Ridge Examination

  • 01 Jun 2018
  • 1:00 PM - 3:00 PM
  • Webinar


Registration is closed

EU IAI members can have access to the recording of this webinar. However, a certificate of attendance will not be provided. Enjoy!

The statistical analysis of fingerprint has been intensively discussed in the literature and at conferences in the past 20 years. Legal and scientific scholars have focused on the use of statistics and probability theory to quantify the probative value of fingerprint evidence, and for providing logical support to the inference of the source of fingermarks. This is reflected in the recent ENFSI standard for conclusions that demands that forensic conclusions be expressed as “likelihood ratios”. While the determination of the probative value of fingerprint comparisons is certainly important, statistical analysis of fingerprints can provide a much wider range of information to forensic scientists, quality assurance managers and courts. During this webinar, we will review some work recently done on the perception of the “sufficiency”, in terms of quantity and quality of fingerprint features, by examiners forming conclusions and we will show how statistical analysis of fingerprint can provide a layer of transparency in the determination of sufficiency, and help manage workload and workflow within a laboratory. No prior knowledge of statistics will be necessary to attend this webinar as it will focus on practical and concrete applications rather than the underlying statistical methodology.


Cedric Neumann completed is Ph.D. in Forensic Science at the University of Lausanne in 2008. He implemented his thesis work on the multivariate analysis and interpretation of ink evidence on behalf of the U.S. Department of Homeland Security at the United States Secret Service. He was the scientific manager for the Statistics and Interpretation Research Group of the British Forensic Science Service from 2006-2010 where he was involved in statistical research related to the quantification of DNA, fingerprint, shoeprint and other types of evidence. He is currently an Assistant Professor of Statistics at the South Dakota State University, where he leads multiple projects on the interpretation of trace and pattern evidence. During his free time, Cedric has consulted in multiple cases on behalf of prosecution and defense, and has provided statistical training to attorneys and forensic scientists. Cedric received several awards, including the 2009 ENFSI Emerging Scientist Award and the 2015 Berg SDSU Young Faculty Award. 

The European Division of the International Association for Identification

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