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All Times EDT
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* = applied session ! = JSM meeting theme
Activity Details
379 * !
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Thu, 8/12/2021,
12:00 PM -
1:50 PM
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Virtual
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Bias and Interpretability in Biometrics for Forensic Science — Topic-Contributed Papers
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Section on Statistics in Defense and National Security, Advisory Committee on Forensic Science, International Society for Bayesian Analysis (ISBA)
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Organizer(s): Christopher Saunders, South Dakota State University
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Chair(s): Cami Fuglsby, South Dakota State University
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12:05 PM
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Machine Learning Methods for Dependent Data Resulting from Forensic Evidence Comparisons
Danica M Ommen, Iowa State University; Federico Veneri, Iowa State University
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12:25 PM
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Covariate-Adjusted ROC Curves: An Introduction and Application to Characterizing Hidden Behavior in Biometric Matching System
Larry Tang, University of Central Florida; Martin Slawski, George Mason University; Xiaochen Zhu, George Mason University
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12:45 PM
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Generalized Fiducial Factor: An Alternative to the Bayes Factor for Forensic Identification of Source Problems
Jonathan P Williams, North Carolina State University; Danica M Ommen, Iowa State University; Jan Hannig, University of North Carolina at Chapel Hill
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1:05 PM
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Machine Testimony
Andrea Roth, UC Berkeley School of Law
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1:25 PM
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Discussant: Mike Smith, FBI Laboratory Division
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1:35 PM
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Discussant: Christopher Saunders, South Dakota State University
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1:45 PM
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Floor Discussion
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395 * !
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Thu, 8/12/2021,
2:00 PM -
3:50 PM
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Virtual
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Addressing Individual Variation to Improve the Analysis of Forensic Evidence — Invited Papers
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Advisory Committee on Forensic Science, Committee on Law and Justice Statistics
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Organizer(s): Naomi Kaplan Damary, Postdoctoral scholar, University of California, Irvine
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Chair(s): Alicia Carriquiry, Iowa State University
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2:05 PM
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Bayesian Item Response Theory for Human Factors in Forensic Science
Amanda Luby, Swarthmore University
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2:25 PM
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What Can We Learn from Proficiency Testing at Forensic Laboratories
Robin Mejia, Carnegie Mellon University
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2:45 PM
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How Can Learning More Information Lead to a Worse Outcome? A Probabilistic Formalization of Contextual Bias in Forensic Analysis
Maria Cuellar, University of Pennsylvania; Amanda Luby, Swarthmore University; Jacqueline Mauro, Google
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3:05 PM
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Using Mixture Models to Examine Group Differences: Studying Juror Perceptions of the Strength of Forensic Science Evidence
Naomi Kaplan Damary, Postdoctoral scholar, University of California, Irvine; Willian Thompson, University of California, Irvine; Rebecca Hofstein Grady, University of California, Irvine; Hal Stern, University of California Irvine
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3:25 PM
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Discussant: Nicholas Scurich, University of California, Irvine
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3:45 PM
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Floor Discussion
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