What does it mean when someone talks about human factors considerations or cognitive bias concerns in forensic science and what recommendations exist to address these concerns? This webinar will be followed by a group activity in which attendees will work through the simple implementation of a new framework to address concerns raised in the webinar.
This webinar and workshop are on-demand and available immediately.
This webinar is a practical training tool for criminal justice training partners and DNA analysts who intend to provide clear and accurate descriptions of DNA results in forensic testimony and reports. This event will include real-life examples of good reporting practices and poor testimony practices from transcripts with immediate tips on how to avoid making common mistakes.
This webinar is on-demand and available immediately.
Shoe tread impressions are one of the most common types of evidence left at crime scenes. The seminar will describe the development and evaluation of computer vision-based techniques for automatically matching class characteristics of crime scene evidence to a large-scale database of commercial footwear tread photos.
This webinar is on-demand and available immediately.
Automatic cartridge case comparison algorithms can be used to measure the similarity between two fired cartridge cases. However, many of these algorithms are difficult to interpret, understand, and audit. We introduce a suite of visual diagnostic tools that are useful for understanding the behavior of automatic comparison algorithms and introduce a novel algorithm that returns a probability that two cartridge cases originated from the same firearm.
This webinar is on-demand and available immediately.
A Learning Path is a set of resources organized around a theme within the CSAFE Learning environment. Below, we've outlined resources relevant to one of our core concepts: Probability. You are not required to follow the topics or steps within a topic in sequential order. Instead, we encourage you to browse the library of resources and interact with those best suited to help you better understand statistics within the field.
Included in this Learning Path are the following learning opportunities:
A Learning Path is a set of resources organized around a theme within the CSAFE Learning environment. Below, we've outlined resources relevant to one of our core concepts: Machine Learning & Statistical Algorithms. You are not required to follow the topics or steps within a topic in sequential order. Instead, we encourage you to browse the library of resources and interact with those best suited to help you better understand statistics within the field.
Included in this Learning Path are the following learning opportunities:
A Learning Path is a set of resources organized around a theme within the CSAFE Learning environment. Below, we've outlined resources relevant to one of our core concepts: Principles of Statistics. You are not required to follow the topics or steps within a topic in sequential order. Instead, we encourage you to browse the library of resources and interact with those best suited to help you better understand statistics within the field.
Included in this Learning Path are the following learning opportunities:
This research poster was presented at the Annual International Association for Identification (IAI) Forensic Educational Conference in 2024. An interactive poster is available for your viewing.
Workplace stress can affect forensic experts’ job satisfaction and performance, which holds financial and other implications for forensic service providers. Therefore, it is important to understand and manage workplace stress, but that is not simple or straightforward. This talk aims to help forensic service providers and policymakers to implement context-specific interventions to manage stress at work and optimize expert performance, by developing a deeper understanding of the stressors, their sources, and their possible impacts.
This webinar is on-demand and available immediately.
Each one has important scientific, legal, and philosophical implications.
To make matters worse, the ingredients are often confused, conflated, and transposed. The goal of this presentation is to review the precepts of conditional probability, the notation of Bayes’ Formula, and the touchpoints with presumption of innocence and probable cause.
This webinar is on-demand and available immediately.