Welcome to the 2025 Conference of the American Academy of Forensic Sciences
Find our booth (#704) in the exhibit hall to talk 1:1 and get free resources.
CSAFE Presentations
CSAFE will be giving the following presentations at AAFS. We’d love to meet you in person.
An asterisk (*) denotes a CSAFE researcher or collaborator.
Technology: A Tool for Transformation or Tyranny
Feb. 18, 1:00–6:00 p.m.
Yong Guan*, Katharine Pope, Kenneth Aschheim, JoAnn Buscaglia*, Alicia Carriquiry*, Sarah Chu*, Nancy Downing, Zeno Geradts, Thomas P. Paonessa, Jr., Katherine Scafiede, Hon. Donald Shelton and Lucas Zarwell
Criminalistics:
The Development and Evaluation of a Contrastive Learning Framework for Source Identification: Technology for Transformation in the Interpretation of Forensic Data
Feb. 20, 11:05-11:30 a.m.
Danica Ommen*, Christopher Saunders and JoAnn Buscaglia*
Assessing the Accuracy and Reliability of Canine Explosives Detection Using OSAC Training and Certification Standards
Feb. 20, 2:20-2:40 p.m.
Adele Quigley-McBride*, Haylie Browning, Lauryn DeGreeff and Paola A. Prada-Tiedemann
Standards Development Activities Related to Friction Ridge Examination
Feb. 20, 3-3:20 p.m.
Heidi Eldridge*
Developing Reproducible Protocols and Definitions for Selecting Combined Minutiae: Applications in Research and Practice
Feb. 20, 4:30-4:50 p.m.
Adele Quigley-McBride*, Heidi Eldridge* and Brett Gardner*
Close Non-Matches and Database Searches: How Often Can We Expect to See a True Match Among the K Highest Correlations?
Feb. 20, 5:20-5:40 p.m.
Blanca Parker*, Heike Hofmann* and Alicia Carriquiry*
Digital & Multimedia Sciences:
A Forensic Analysis of Google Fit App on WearOS
Feb. 20, 1:10-1:30 p.m.
Chen Shi* and Yong Guan*
Engineering & Applied Sciences:
Environmental Signature Extraction for Forensic Analysis of Audio Recordings Using AI/LLM Models
Feb. 21, 8-8:45 a.m.
Lucky Onyekwelu-Udoka* and Yong Guan*
Similarity Assessments of Forensic Images
Feb. 21, 8:45-9:15 a.m.
Gautham Venkatasubramanian* and Alicia Carriquiry*
General:
A Preliminary Study: The Application of 3D Models, Simulations, and Finite Element Analysis (FEA) in Shooting Reconstruction
Feb. 20, 9:45-10 a.m.
Baillie Poulton and Keith Morris*
Evaluating the Scientific Validity of Forensic Methods: Guidelines for Study Design and Analysis
Feb. 20, 1:30-2 p.m.
Michael Rosenblum, Maria Cuellar*, Susan Vanderplas* and Amanda Luby*
Questioned Documents:
An Introduction to the Forensic Handwriting Analysis Software Handwriter
Feb. 20, 9-9:40 a.m.
Stephanie Reinders*, Alicia Carriquiry* and Danica Ommen*
An Overview and Comparison of Software Tools for Quantifying the Value of Handwriting Evidence
Feb. 20, 10:20-10:40 a.m.
Danica Ommen*
Statistical Thinking for Forensic Science: From Probability to Black Box Studies to Likelihood Ratios
Feb. 17, 8:30 a.m.-4:30 p.m.
Jeff Salyards* and Hal Stern*
Expanding the Forensic Professional’s Toolbox: New Technological Resources for the Evaluation of Evidence
Feb. 18, 1-5 p.m.
Alicia Carriquiry*, Jeff Salyards*, Heike Hofmann* and Steve Lund*
Advancing the Understanding of 3D Imaging for Firearms Identification
Feb. 18, 5-6:30 p.m. EST
Melissa Nally*
CONTINUE YOUR LEARNING THROUGHOUT THE REST OF 2025 WITH new learning paths on CSAFE learning!
Forensic Statistics
Learning Paths
Our Learning Paths are sets of resources organized around a theme within the CSAFE Learning environment.
- No requirement to follow topics in a sequential order
- Browse the library of resources and interact with those best suited to your needs
Principles of Statistics Learning Path
This Learning Path includes the following learning opportunities:
- What do we mean by ‘Statistics’? – ⏱ 5 min.
- Stats in the Courtroom – ⏱ 30 min.
- Statistical Thinking for Forensic Practitioners – ⏱ 8 hrs.
- Forensic Stats 101 (Enrollment Fee Required) – ⏱ 30 hrs.
Registering for this learning path will only enroll you in the free learning opportunities—a separate enrollment is needed for any courses with a required fee.
Machine Learning & Statistical Algorithms
This Learning Path includes the following learning opportunities:
- Regression – ⏱ 5 min.
- Classification – ⏱ 5 min.
- Algorithms in Forensic Science – ⏱ 30 min.
- Machine Learning for Forensic Practitioners – ⏱ 6 hrs.
Registering for this learning path will enroll you in all of these free learning opportunities.
Probability
This Learning Path includes the following learning opportunities:
- Probability – ⏱ 5 min.
- Conditional Probability – ⏱ 5 min.
- Discrete vs Continuous Probability – ⏱ 5 min.
- Statistical Thinking for Forensic Practitioners – ⏱ 8 hrs.
- Forensic Stats 101 (Enrollment Fee Required) – ⏱ 30 hrs.
Registering for this learning path will only enroll you in the free learning opportunities—a separate enrollment is needed for any courses with a required fee.