The q–q Boxplot
Boxplots have become an extremely popular display of distribution summaries for collections of data, especially when we need to visualize summaries for several collections simultaneously. The whiskers in the boxplot
The Contribution of Forensic and Expert Evidence to DNA Exoneration Cases: An Interim Report
This report is from Simon A. Cole, Vanessa Meterko, Sarah Chu, Glinda Cooper, Jessica Weinstock Paredes, Maurice Possley, and Ken Otterbourg (2022), The Contribution of Forensic and Expert Evidence to
Likelihood ratios for categorical count data with applications in digital forensics
We consider the forensic context in which the goal is to assess whether two sets of observed data came from the same source or from different sources. In particular, we
CSAFE Project Update & ASCLD FRC Collaboration
This presentation highlighted CSAFE’s collaboration with the ASCLD FRC Collaboration Hub.
Reliability for Binary and Ordinal Data in Forensics
Black-box studies are a crucial part of assessing the accuracy and reliability of subjective decisions in forensics. The extant black-box studies have generally had two components. In the first study,
Uncertainty in probabilistic genotyping of low template DNA: A case study comparing STRMix™ and TrueAllele™
Two probabilistic genotyping (PG) programs, STRMix™ and TrueAllele™, were used to assess the strength of the same item of DNA evidence in a federal criminal case, with strikingly different results.
Understanding forensic decision-making with Item Response Theory: Using a NFI firearms study
This presentation is from the Forensic Big Data Colloquium at the Netherlands Forensic Institute, November 2022. Posted with permission of CSAFE.
Source identification of shoeprints in mock crime scene using an algorithm based on automatic alignment
This presentation is from the 75th Anniversary Conference of the American Academy of Forensic Sciences, Orlando, Florida, February 13-18, 2023. Posted with permission of CSAFE
Ensemble of Score Likelihood Ratios under the common source problem
Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratios and Bayes Factor to quantify the value of evidence when contrasting two opposing propositions. Under
Source Camera Identification on Multi-Camera Phones
Camera identification addresses the scenario where an investigator has a questioned digital image from an unknown camera. The investigator wants to know whether the questioned image was taken by a