A Bayesian Approach to Interpreting Latent Fingerprint Evidence

Maria Tackett, University of Virginia

Wednesday, December 6, 2017 - 3:30pm

In 2009, the National Research Council issued Strengthening Forensic Science in the United States: A Path Forward, a report about the need for more scientific rigor in forensic science. Since then, there has been an effort to increase objectivity in forensic methods, in part through the use of statistics to interpret forensic evidence. In this talk, we demonstrate ways in which Bayesian inference can be used to interpret latent fingerprint evidence. We explore the dependencies in evidence that exist when multiple suspects are examined as the potential source of a latent print and propose a way to account for these dependencies by imposing a constraint on the model set up. Then, we discuss how a well-resourced database can be used to understand the variability between multiple prints produced by the same finger and provide recommendations about what characteristics such a database may have.      



Seminars generally take place in 116 Old Chemistry Building on Fridays from 3:30 - 4:30 pm. For additional information contact: karen.whitesell@duke.edu or phone 919-684-8029. Sorry, but we do not have reprints available. Please feel free to contact the authors by email for follow-up information, articles, etc. Reception following seminar in 211 Old Chemistry

Old Chemistry 116

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