Welcome to the 2023 Conference of the American Academy of Forensic Sciences
Find our booth (#320) 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.
A Comparison of Various Score-Based Likelihood Ratio (SLR) Methods for the Quantitative Assessment of Footwear Evidence
Feb. 16, 10:45–11:00 a.m.
Valerie Han, BA*; Alicia Carriquiry, PhD
The Scientific Literacy Project: A Collaborative Effort in Educating Legal Professionals on Forensic Evidence
Feb. 16, 11:00–11:30 a.m.
Anthony Greiter*; Stacy Renfro, MBA; Alicia Carriquiry, PhD; Hal Stern, PhD; Chris Fabricant, JD; Marika Meis, JD; Lynn Garcia, JD
Source Identification of Shoeprints in a Mock Crime Scene Using an Algorithm Based on Automatic Alignment
Feb. 16, 11:15–11:30 a.m.
Hana Lee, BS*; Alicia Carriquiry, PhD
Source Camera Identification on Multi-Camera Phones
Feb. 16, 11:25–11:45 a.m.
Stephanie Reinders, PhD*; Danica Ommen, PhD; Alicia Carriquiry, PhD
A Forensic Analysis of Android™-Popular Social Networking Apps
Feb. 16, 1:00–1:20 p.m.
Chen Shi, PhDc*; Yong Guan, PhD
The Statistical Characterization of the Discriminating Power of Trace Elemental Concentrations of Aluminum Foils Used in Improvised Explosive Devices
Feb. 16, 3:00–3:15 p.m.
Anjuli Bhandari, PhD; Michelle Jordan, PhD; Danica Ommen, PhD; Christopher Saunders, PhD*; JoAnn Buscaglia, PhD*
A Comparison of FLASH ID and Handwriter: Two Handwriting Analysis Programs
Feb. 17, 8:30–8:45 a.m.
Stephanie Reinders, PhD*; Danica Ommen, PhD; Alicia Carriquiry, PhD
An Ounce of Prevention: A Simple and Practical Tool for Mitigating Cognitive Bias in Forensic Decisions
Feb. 17, 2:00–2:15 p.m.
Adele Quigley-McBride, PhD*; Tiffany Roy, MSFS, JD; Brandon Garrett, JD; Jeff Kukucka, PhD
Statistical Discrimination Methods for Forensic Source Interpretation: The Application to Micromorphometric Feature Measurement of Aluminum Powders Used in Explosives
Feb. 15, 11:30 a.m.–1:00 p.m.
Danica Ommen, PhD*; Christopher Saunders, PhD; JoAnn Buscaglia, PhD*
A Likelihood Ratio Approach for Detecting Behavioral Changes in Device Usage Over Time
Feb. 16, 11:30 a.m.–1:00 p.m.
Rachel Longjohn, MS*; Padhraic Smyth, PhD
Quantifying Bayes Factors for Forensic Handwriting Evidence
Feb. 16, 11:30 a.m.–1:00 p.m.
Anyesha Ray, BS*; Danica Ommen, PhD
Quantifying Writer Variance Through Rainbow Triangle Graph Decomposition of the Common Word “the”
Feb. 16, 11:30 a.m.–1:00 p.m.
Alexandra Arabio, BS*; Alicia Carriquiry, PhD; Danica Ommen, PhD
Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data
Feb. 16, 11:30 a.m.–1:00 p.m.
Pilhyun Lim, MS*; Danica Ommen, PhD
Black-Box Metamodeling Between Feature Combinations for Paired Comparisons of Documents of Forensic Handwriting Data
Feb. 16, 11:30 a.m.–1:00 p.m.
Cami Fuglsby, MS*; Christopher Saunders, PhD; Danica Ommen, PhD; JoAnn Buscaglia, PhD
A Gentle Introduction to the Likelihood Ratio (LR): Basic Ideas, Implementation, and Limitations
Feb. 14, 8:30 a.m.–noon
Danica Ommen, PhD*; Alicia Carriquiry, PhD; Michael J Salyards, PhD
Forensic Science and Legal Education
Feb. 14, 10:55–11:15 a.m. (YFSF Special Session: Education, Training, and Experiences: The Ingredients to Make Science Work!)
Brandon L. Garrett, JD
Visual Diagnostics for Cartridge Case Impression Evidence
Feb. 17, 11:30 a.m.–1:00 p.m.
Joseph Zemmels*; Heike Hofmann, PhD; Susan VanderPlas, PhD
Understanding the Use of Forensic Evidence at Trial: A Case Study of Criminal Trials in Ohio
Feb. 17, 11:30 a.m.–1:00 p.m.
Philip O’Sullivan, MS*; Emily Hughes, JD, MA; Kori Khan, PhD, JD
CONTINUE YOUR LEARNING THROUGHOUT THE REST OF 2023 WITH FREE OPPORTUNITIES THROUGH CSAFE!
Forensic Statistics
Learning Opportunities
Our learning opportunities help amplify existing knowledge and build new competencies
- Learn statistical concepts as they apply to the evaluation of pattern and digital evidence
- Discuss challenges and how to overcome them in your daily work
Statistical Thinking for Forensic Practitioners
This three-part course introduces statistical concepts and their applications to forensic science.
Dates:
- Session 1: March 31, 2023 — 10:00 a.m. – Noon CT
- Session 2: April 7, 2023 — 10:00 a.m. – Noon CT
- Session 3: April 14, 2023 — 10:00 a.m. – Noon CT
- Session 4: April 21, 2023 — 10:00 a.m. – Noon CT
Led by Dr. Hal Stern
Iowa State University
Sampling for Forensic Practitioners
Three-part course covering populations, sampling frames, sampling methods and geometric sampling. The emphasis will be on understanding how these methods are used to aid and enhance current forensic science practices.
Dates:
- Session 1 – April 28, 2023 – 10 a.m. – Noon CT
- Session 2 – May 5, 2023 – 10 a.m. – Noon CT
- Session 3 – May 12, 2023 – 10 a.m. – Noon CT
Led by Alicia Carriquiry
Iowa State University
Machine Learning for Forensic Practitioners
This three-part course introduces machine learning concepts and their applications to forensic science.
Dates:
- Session 1 – May 18, 2023 – 10 a. m. – Noon CT
- Session 2 – May 25, 2023 – 10 a.m. – Noon CT
- Session 3 – June 1, 2023 – 10 a.m. – Noon CT
Led by Heike Hofmann
Iowa State University
Participants who complete a full course receive a Certificate of Completion through the Center for Statistics and Applications in Forensic Evidence
Every month, CSAFE condenses recent publications to two-page digests, designed specifically to enable forensic examiners to stay up-to-date, take actionable steps, or gain informed knowledge. Download Insights from CSAFE’s website at your leisure.