Skip to content

Legal Community

Apply our Research in Practice

Individuals in the courtroom, including judges, attorneys, and jury members, are challenged with interpreting the probabilistic evidence provided by new forensic methods. CSAFE is committed to providing up-to-date training to allow the legal community to fairly evaluate and communicate forensic conclusions. Judges, who under Daubert have the role of gate-keepers for the science that gets admitted into evidence in federal (and many) state courts, need specific knowledge to make appropriate decisions on matters of admissibility and expert testimony and to guide jurors in their deliberations when complex technical evidence is presented at trial.

Through collaborations with other national agencies, CSAFE provides legal education offerings at the intersection of forensics, statistics, and law –– both online and in-person –– to promote quantitative literacy among the legal community. Check back regularly for new offerings, and please contact us with any interest in educational collaborations or with questions.

Available Resources
For the Legal Community

  • Type

  • Research Area

Found 118 Results
Page 1 of 6

Statistical Methods for the Forensic Analysis of User-Event Data

Type: Research Area(s):

Published: 2020 | By: Chris Galbraith

A common question in forensic analysis is whether two observed data sets originate from the same source or from different sources. Statistical approaches to addressing this question have been widely adopted within the forensics community, particularly for DNA evidence, providing…

View on Digital Repository


Hunting wild stego images, a domain adaptation problem in digital image forensics

Type: Research Area(s):

Published: 2020 | By: Li Lin

Digital image forensics is a field encompassing camera identication, forgery detection and steganalysis. Statistical modeling and machine learning have been successfully applied in the academic community of this maturing field. Still, large gaps exist between academic results and applications used…

View on Digital Repository


How Can a Forensic Result Be a ‘Decision’? A Critical Analysis of Ongoing Reforms of Forensic Reporting Formats for Federal Examiners

Type: Research Area(s):

Published: 2020 | By: Simon A. Cole

The decade since the publication of the 2009 National Research Council report on forensic science has seen the increasing use of a new word to describe forensic results. What were once called “facts,” “determinations,” “conclusions,” or “opinions,” are increasingly described…

View on Digital Repository


Psychometric Analysis of Forensic Examiner Behavior

Type: Research Area(s): ,

Published: 2019 | By: Amanda Luby

Forensic science often involves the comparison of crime-scene evidence to a known-source sample to determine if the evidence and the reference sample came from the same source. Even as forensic analysis tools become increasingly objective and automated, final source identifications…

View on Digital Repository


Quantifying the similarity of 2D images using edge pixels: An application to the forensic comparison of footwear impressions

Type: Research Area(s):

Published: 2020 | By: Soyoung Park

We propose a novel method to quantify the similarity between an impression (Q) from an unknown source and a test impression (K) from a known source. Using the property of geometrical congruence in the impressions, the degree of correspondence is…

View on Digital Repository


Quantifying the similarity of 2D images using edge pixels: An application to the forensic comparison of footwear impressions

Type: Research Area(s):

Published: 2020 | By: Soyoung Park

We propose a novel method to quantify the similarity between an impression (Q) from an unknown source and a test impression (K) from a known source. Using the property of geometrical congruence in the impressions, the degree of correspondence is…

View on Digital Repository


A database of two-dimensional images of footwear outsole impressions

Type: Research Area(s):

Published: 2020 | By: Soyoung Park

Footwear outsole images were obtained from 150 pairs of used shoes. The motivation for constructing the database was to enable a statistical analysis of two-dimensional (2D) images of shoe outsoles, to understand within shoe (between replicate images of the same…


Statistical Methods for the Forensic Analysis of Geolocated Event Data

Type: Research Area(s):

Published: 2020 | By: Christopher Galbraith

A common question in forensic analysis is whether two observed data sets originated from the same source or from different sources. Statistical approaches to addressing this question have been widely adopted within the forensics community, particularly for DNA evidence. Here…

View on Digital Repository


Statistical methods for the forensic analysis of geolocated event data

Type: Research Area(s):

Published: 2020 | By: Chris Galbraith

A common question in forensic analysis is whether two observed data sets originated from the same source or from different sources. Statistical approaches to addressing this question have been widely adopted within the forensics community, particularly for DNA evidence. Here…

View on Digital Repository


Implementation of a Blind Quality Control Program in a Forensic Laboratory

Type: Research Area(s): ,

Published: 2019 | By: Callan Hund

A blind quality control (QC) program was successfully developed and implemented in the Toxicology, Seized Drugs, Firearms, Latent Prints (Processing and Comparison), Forensic Biology, and Multimedia (Digital and Audio/Video) sections at the Houston Forensic Science Center (HFSC). The program was…

View on Digital Repository


Comparison of three similarity scores for bullet LEA matching

Type: Research Area(s):

Published: 2020 | By: Susan VanderPlas

Recent advances in microscopy have made it possible to collect 3D topographic data, enabling more precise virtual comparisons based on the collected 3D data as a supplement to traditional comparison microscopy and 2D photography. Automatic comparison algorithms have been introduced…

View on Digital Repository


Error Rates, Likelihood Ratios, and Jury Evaluation of Forensic Evidence

Type: Research Area(s):

Published: 2020 | By: Brandon Garrett

Forensic examiners regularly testify in criminal cases, informing the jurors whether crime scene evidence likely came from a source. In this study, we examine the impact of providing jurors with testimony further qualified by error rates and likelihood ratios, for…

View on Digital Repository


The Costs and Benefits of Forensics

Type: Research Area(s):

Published: 2020 | By: Brandon L. Garrett

Supreme Court Justice Louis Brandeis famously wrote that states can be laboratories for experimentation in law and policy. Disappointingly, however, the actual laboratories that states and local governments run are not a home for experimentation. We do not have adequate…

View on Digital Repository


How do latent print examiners perceive proficiency testing? An analysis of examiner perceptions, performance, and print quality

Type: Research Area(s):

Published: 2020 | By: Sharon Kelley

Proficiency testing has the potential to serve several important purposes for crime laboratories and forensic science disciplines. Scholars and other stakeholders, however, have criticized standard proficiency testing procedures since their implementation in laboratories across the United States. Specifically, many experts…

View on Digital Repository


An Exploratory Analysis of Handwriting Features: Investigating Numeric Measurements of Writing That Are Important for Statistical Modeling

Type: Research Area(s):

Published: 2019 | By: Amy Crawford

The goal of this presentation is to provide insights into which features of handwritten documents are important for statistical modeling with the task of writer identification and to discuss how these features overlap with features that questioned document examiners typically…

View on Digital Repository


An algorithm to compare two‐dimensional footwear outsole images using maximum cliques and speeded‐up robust feature

Type: Research Area(s):

Published: 2020 | By: Soyoung Park

Footwear examiners are tasked with comparing an outsole impression (Q) left at a crime scene with an impression (K) from a database or from the suspect's shoe. We propose a method for comparing two shoe outsole impressions that relies on…

View on Digital Repository


Statistical Learning Algorithms for Forensic Scientists

Type: Research Area(s):

Published: 2020 | By: Alicia L. Carriquiry

The goals of this workshop are to: (1) introduce attendees to the basics of supervised learning algorithms in the context of forensic applications, including firearms and footwear examination and trace evidence, while placing emphasis on classification trees, random forests, and,…

View on Digital Repository


Statistical Analysis of Handwriting: Probabilistic Outcomes for Closed-Set Writer Identification

Type: Research Area(s):

Published: 2020 | By: Amy M. Crawford

The goal of this presentation is to provide insights into features of handwritten documents that are important for statistical modeling with the task of writer identification.

View on Digital Repository


Similarity between outsole impressions using SURF

Type: Research Area(s):

Published: 2020 | By: Soyoung Park

The learning objectives of this presentation include the following: Introduce an objective method to quantify the similarity between two outsole impressions, show that this algorithm is accurate and reliable even when outsoles share class characteristics and degree of wear, and…

View on Digital Repository


Applications of a CNN for Automatics Classification of Outsole Features

Type: Research Area(s):

Published: 2020 | By: Miranda R. Tilton

After attending this presentation, attendees will be familiar with the ways that CNNs can be applied to classify forensic pattern evidence, specifically with shoe outsole features.

View on Digital Repository


Page 1 of 6
Do you have 44.03 seconds?

44.3 Seconds. That is the average amount of time it takes for a visitor to provide site feedback.
Test it yourself by taking the survey.


A scientist/researcherA member of the forensic science communityA journalist/publicationA studentOther. Please indicate.


Learn more about CSAFE overall.Discover research CSAFE is undertaking.Explore collaboration opportunities.Find tools and education opportunities.Other. Please indicate.


YesNo