Camera Device Identification and the Effects of Underexposure
Technology today allows a photograph from a digital camera to be matched with the camera that took it. However, the matching software was created over 10 years ago using data
Shifting decision thresholds can undermine the probative value and legal utility of forensic pattern-matching evidence
Forensic pattern analysis requires examiners to compare the patterns of items such as fingerprints or tool marks to assess whether they have a common source. This article uses signal detection
A statistical approach to aid examiners in the forensic analysis of handwriting
We develop a statistical approach to model handwriting that accommodates all styles of writing (cursive, print, connected print). The goal is to compute a posterior probability of writership of a
Ensemble learning for score likelihood ratios under the common source problem
Machine learning-based score likelihood ratios (SLRs) have emerged as alternatives to traditional likelihood ratios and Bayes factors to quantify the value of evidence when contrasting two opposing propositions. When developing
A method for quantifying individual decision thresholds of latent print examiners
In recent years, ‘black box’ studies in forensic science have emerged as the preferred way to provide information about the overall validity of forensic disciplines in practice. These studies provide
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,