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Forensic Science Professionals

CSAFE Forensic Learning Opportunities

Harness tools and training that will help improve your accuracy, objectivity and communication as a forensic scientist or stakeholder.

CSAFE provides educational and training programs on probability and statistics applied to forensic science disciplines. Designed specifically for forensic practitioners, our learning opportunities enhance your existing knowledge and build new competencies. These programs include events and webinars, courses, and workshops. Our available resources also provide research updates that touch on a variety of topics relevant to the diverse forensic science communities. Check back regularly for new learning opportunities.

Contact Us

Let us help you find the best workshop option for your organization’s needs. Contact us to discuss collaboration opportunities and scheduling:

headshot of smiling brunette white male with gentle facial hair

Anthony Greiter

Learning and Development Specialist
(515) 294-1561

Events & Webinars

Registration is now open for these events.

There are no upcoming events at this time.

Available Courses

Short Courses

CSAFE’s online short courses are live, instructor-led courses ranging from 6–8 learning hours. Registration is free.


Session 1: June 3, 2022 — 10:00 a.m.-Noon CT
Session 2: June 10, 2022 — 10:00 a.m.-Noon CT
Session 3: June 17, 2022 — 10:00 a.m.-Noon CT

Long Courses

CSAFE offers self-paced online courses ranging from 20–30 learning hours. Cost per course varies. Contact us for individual and group rates.

Our newest course is available now:


Statistics for Forensic Science Practitioners is a self-paced, online, continuing education course for forensic science practitioners. This course addresses the core concepts related to probability, statistics, and their application to today’s forensics issues.

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.

90 Minutes | Cost: FREE

Available Resources
for Forensic Science Professionals

  • Type

  • Research Area

Found 218 Results
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Studying Reliability for Pattern Evidence Comparisons

Type: Research Area(s):

Published: 2021 | By: Hina Arora

Presentation prepared for International Association for Identification (IAI) 2021

View on Digital Repository

Bayesian Item Response Theory for Human Factors in Forensic Science

Type: Research Area(s):

Published: 2021 | By: Amanda Luby

Presented at Joint Statistical Meetings (JSM) 2021

View on Digital Repository

Machine Learning Methods for Dependent Data Resulting from Forensic Evidence Comparisons

Type: Research Area(s):

Published: 2021 | By: Danica Ommen

Presented at the Joint Statistical Meeting in 2021

View on Digital Repository

Footwear Research in CSAFE

Type: Research Area(s):

Published: 2021 | By: Alicia Carriquiry

This presentation provided an overview of CSAFE's footwear research and was presented at IAI in 2021

View on Digital Repository

Using Mixture Models to Examine Group Differences – Studying Juror Perceptions of the Strength of Forensic Science Evidence

Type: Research Area(s): ,

Published: 2021 | By: Naomi Kaplan-Damary

The following presentation was presented at 2021 International Association for Identification (IAI)

View on Digital Repository

A practical tool for information management in forensic decisions: Using Linear Sequential Unmasking-Expanded (LSU-E) in casework

Type: Research Area(s):

Published: 2022 | By: Adele Quigley-McBride

Forensic analysts often receive information from a multitude of sources. Empirical work clearly demonstrates that biasing information can affect analysts' decisions, and that the order in which task-relevant information is received impacts human cognition and decision-making. Linear Sequential Unmasking (LSU; Dror et…

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The effect of image descriptors on the performance of classifiers of footwear outsole image pairs

Type: Research Area(s):

Published: 2022 | By: Soyoung Park

Shoe prints are commonly found at the scene of a crime and can sometimes help link a suspect to the scene. Because prints tend to be partially observed or smudgy, comparing crime scene prints with reference images from a putative…

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LogExtractor: Extracting Digital Evidence from Android Log Messages via String and Taint Analysis

Type: Research Area(s):

Published: 2021 | By: Chris Chao-Chun

Mobile devices are increasingly involved in crimes. Therefore, digital evidence on mobile devices plays a more and more important role in crime investigations. Existing studies have designed tools to identify and/or extract digital evidence in the main memory or the file…

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Forensic Analysis on Joker Family Android Malware

Type: Research Area(s):

Published: 2021 | By: Chen Shi

Android is the most popular operating system among mobile devices and the malware targeted explicitly for Android is rapidly growing and spreading across the mobile ecosystem. In this paper, we propose a hybrid analysis of Android malware to retrieve evidential…

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Science Bench Book for Judges

Type: Research Area(s):

Published: 2019 | By: Alicia Carriquiry (16 contributing authors)

The National Judicial College and the Justice Speakers Institute, LLC developed this bench book with support from the State Justice Institute to help judges determine the admissibility of evidence based on sound forensic science. The fact is, few judges were…

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