Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

107 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Strengthening Forensic Science: The Contribution of Statistics — Invited Papers
Advisory Committee on Forensic Science, Committee on Law and Justice Statistics
Organizer(s): Naomi Kaplan Damary, Postdoctoral scholar, University of California, Irvine
Chair(s): Hal Stern, Vice Provost for Academic Planning Office of the Provost and Chancellor's Professor
1:05 PM	A Step Forward in Estimating the Probability of Accidental Mark Locations on a Shoe Sole Naomi Kaplan Damary, Postdoctoral scholar, University of California, Irvine; Micha Mandel, The Hebrew University of Jerusalem; Yoram Yekutieli, Hadassah Academic College; Sarena Wiesner, Israel National Police Division of Identification and Forensic Science (DIFS) ; Yaron Shor, Israel National Police Division of Identification and Forensic Science (DIFS)
1:30 PM	Using Machine Learning Methods to Predict Similarity of Striations on Bullet Lands Heike Hofmann, Iowa State University; Susan Vanderplas, University of Nebraska, Lincoln; Alicia Carriquiry, Iowa State University
1:55 PM	Data-Driven Decision-Making in Forensic Science Using Kernel- and Similarity Score-Based Methods Cedric Neumann, South Dakota State University; Madeline Ausdemore, South Dakota State University
3:20 PM	Discussant: Robin Mejia, Statistics and Human Rights Program Manager and Special Faculty
2:45 PM	Floor Discussion

528 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
New Developments in Statistical Methods for Forensic Science and Forensic Metrology — Invited Papers
Committee on Law and Justice Statistics, Section on Bayesian Statistical Science, Advisory Committee on Forensic Science
Organizer(s): Hari iyer, National Institute of Standards and Technology
Chair(s): Adam Pintar, National Institute of Standards and Technology
1:05 PM	Arithmetic with Score-Based Likelihood Ratios Steve Lund, NIST
1:35 PM	A Method of Forensic Evidence Interpretation Using Error Rates Danica Ommen, Iowa State Univeristy; Larry Tang, University of Central Florida; Christopher Saunders, South Dakota State University
2:05 PM	Are Reported Likelihood Ratios Well Calibrated? Jan Hannig, University of North Carolina at Chapel Hill; Hari iyer, National Institute of Standards and Technology
2:45 PM	Floor Discussion

JSM 2020 Online Program