Want to understand how to apply statistics to forensic analysis? Gain new knowledge of the field with CSAFE Learning.
Our learning platform is your hub for understanding complex statistical concepts with the help of cutting-edge research and real-world examples. From quick videos to in-depth courses, there's a resource for anyone working within forensic science.
Types of Learning
Because learning opportunities are broken down by time commitment and content type, there’s something for everyone on the learning platform.
*For additional short course topics, contact a CSAFE team member to discuss your specific needs.
Long Courses
In-depth courses of up to 10 sessions that further your ability to apply statistical analysis to the interpretation of forensic evidence.
Short Course
Highly practical, actionable sessions led by experts, held over two to three live sessions.
Webinar
Expert-led live sessions about current research and findings within the field.
Foundational Learning
Videos that introduce and review foundational concepts, allowing you to dive deeper into a topic.
Stats Starters
Short videos and accompanying PDFs that allow you to explore a single foundational concept at a time.
CSAFE Library
Unlimited access to resources that serve as independent information sources or supplements to CSAFE learning programs.
Featured Courses
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Schedule A Workshop
CSAFE provides workshops on topics related to probability and statistics as applied to forensic science disciplines. These free opportunities are offered on a range of topics and skill levels and are ideal for small or large groups. CSAFE can tailor any of its workshops to best meet the needs of your organization. Training can be scheduled on‑site or virtual. Contact us to discuss collaboration opportunities and scheduling.
One of our most popular workshops introduces quantitative tools to evaluate forensic evidence:
Survey of Quantitative Tools for Forensic Evidence
This workshop will introduce you to the most often-suggested quantitative approaches: the two-stage approach and the likelihood ratio (Bayes factor) approach. You will discuss possible applications to different types of evidence.
