The reporting of forensic results is a topic of crucial importance and increasing interest. Existing scholarship primarily addresses how forensic results should or could be reported. Our purpose is to understand empirically how forensic results are actually reported in American trials today. Given that many forensic statisticians are advocating for the greater use of probabilistic reporting, this research may allow us to establish a baseline so we can measure progress toward that goal.
This webinar is on-demand and available immdeiately.
We investigate the problem of automatically determining shoe outsole class characteristics from crime scene impression evidence using computer vision and machine learning techniques.
This webinar is on demand and available immediately.
This CSAFE Center Wide Webinar was presented on March 1, 2018 by a panel of speakers who examine the impact of the likelihood ratio in a legal context, how to communicate the likelihood ratio to lay audiences and more, followed by a time for questions from the audience.
This webinar is on-demand and available immediately.
We will describe work that we have done on an automated method to compare breechface marks on 2D images of cartridge cases, and how this transfers to 3D topographies.
This webinar is on-demand and available immediately.
Forensic scientists are often asked to evaluate whether two items have (or might have) a common source. What is the best way for them to explain the strength of their conclusions in reports and testimony?
This webinar is on-demand and available immediately.
CSAFE researchers at Iowa State University will discuss the advances they have made towards providing firearms examiners with an objective, quantifiable and standard approach to describe the degree of similarity observed between two bullets.
This webinar is on-deamnd and available immediately.
Examining case processing to gauge the basic reliability of latent print examination is a crucial step in understanding and improving the statistical foundations for pattern evidence.
This webinar is on-demand and available immediately.