CSAFE researchers will join NIST and other forensic science experts to discuss how to transition the reporting of forensic results from simple “match/no match” statements to statements that integrate error and uncertainty. Registration ends June 20.
CSAFE community members plan to attend the International Symposium on Forensic Science Error Management, a collaboration between NIST and the FBI, where speakers, panels, posters, and workshops will address ways to detect, measure, and mitigate forensic science errors through a forum for open dialog regarding root causes and possible solutions.
Join CSAFE researchers for one of the largest statistical events in the world. Topics range from statistical applications to methodology and theory to the expanding boundaries of statistics, such as analytics and data science. CSAFE will present its research on Statistical Modeling Framework for Pattern Evidence. JSM also offers a unique opportunity for statisticians in […]
Our team will participate in this leading educational experience for forensic physical evidence professionals. Workshops and lectures will focus on a variety of topics to the latest techniques, standards, methods, and developments related to crime scene processing, photography, collection and examination of latent print, footwear, tire track, bloodstain, biometric and other types of impression evidence.
Connect with CSAFE and other researchers, developers, and practitioners to address emerging challenges in the field of digital forensics.
CSAFE researchers will present their work at this opportunity to bring together diverse scientific communities involved in various aspects of forensic interpretation and statistics.
CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in the September Center Wide Meeting. Please feel free to invite additional colleagues to attend. We will have a short introduction from CSAFE Director Alicia Carriquiry followed by the presentation "Statistical Methods for Analyzing Event Time-Series Data in Digital Forensics" from Dr. […]