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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.

In a joint collaboration between CSAFE researchers and forensic scientists, we develop and facilitate publicly available programs that amplify existing knowledge or build new competencies in the statistical analysis and interpretation of forensic evidence. These programs include short courses, webinars, workshops, and research updates that touch on a variety of topics relevant to the diverse forensic and applied forensic science communities. CSAFE believes that training and education can enhance technical innovation through alignment of measurement science with emerging and innovative fields of research. Check back regularly for new programs, and please contact us with any interest in educational collaborations or with questions.

Available Resources
for Forensic Science Professionals

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Found 139 Results
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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.

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Android App Forensic Evidence Database (AndroidAED)

Type: Research Area(s):

Published: 2020 | By: Chen Shi

After attending this presentation, attendees will better understand how AndroidAED will be beneficial for academic researchers whose studies relate to mobile applications that grant them the ability to search through many of the available applications across various third-party app stores.

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A Wild Manhunt for Stego Images Created by Mobile Apps

Type: Research Area(s):

Published: 2020 | By: Li Lin

As mobile Internet and telecommunication technology develops at high speed, the digital image forensics academic community is facing a growing challenge. • Mobile applications (Apps) allow a user to easily edit/process an image for a variety of purposes. • Thanks…

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A database of handwriting samples for applications in forensic statistics

Type: Research Area(s):

Published: 2020 | By: Amy Crawford

Handwriting samples were collected from 90 adults for the purpose of developing statistical approaches to the evaluation of handwriting as forensic evidence. Each participant completed three data collection sessions, each at least three weeks apart. At each session, a survey…

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Quantifying the association between discrete event time series with applications to digital forensics

Type: Research Area(s):

Published: 2020 | By: Christopher Galbraith

We consider the problem of quantifying the degree of association between pairs of discrete event time series, with potential applications in forensic and cybersecurity settings. We focus in particular on the case where two associated event series exhibit temporal clustering…

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Score-based Likelihood Ratios for Camera Device Identification

Type: Research Area(s):

Published: 2020 | By: Stephanie Reinders

Many areas of forensics are moving away from the notion of classifying evidence simply as a match or non-match. Instead, some use score-based likelihood ratios (SLR) to quantify the similarity between two pieces of evidence, such as a fingerprint obtained…

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Algorithm mismatch in spatial steganalysis

Type: Research Area(s):

Published: 2019 | By: Stephanie Reinders

The number and availability of stegonographic embedding algorithms continues to grow. Many traditional blind steganalysis frameworks require training examples from every embedding algorithm, but collecting, storing and processing representative examples of each algorithm can quickly become untenable. Our motivation for…

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Score-based likelihood ratios in device identification

Type: Research Area(s):

Published: 2020 | By: Stephanie Reinders

Many areas of forensics are moving away from the notion of classifying evidence simply as a match or non-match. Instead, some use score-based likelihood ratios (SLR) to quantify the similarity between two pieces of evidence, such as a fingerprint obtained…

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Crime Lab Proficiency Testing and Quality Management

Type: Research Area(s):

In the wake of recent reports documenting the vulnerability of forensic science methodologies to human error (e.g., NAS, 2009; PCAST, 2016), the field has sometimes pointed to proficiency testing as evidence of disciplines’ validity and/or reliability.  However, current proficiency procedures…


Automatic Classification of Bloodstain Patterns Caused by Gunshot and Blunt Impact at Various Distances

Type: Research Area(s):

Published: 2020 | By: Yu Liu

The forensics discipline of bloodstain pattern analysis plays an important role in crime scene analysis and reconstruction. One reconstruction question is whether the blood has been spattered via gunshot or blunt impact such as beating or stabbing. This paper proposes…

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Letter to the Editor: Automatic Classification of Bloodstain Patterns

Type: Research Area(s):

Published: 2020 | By: Yu Liu

The forensics discipline of bloodstain pattern analysis plays an important role in crime scene analysis and reconstruction. One reconstruction question is whether the blood has been spattered via gunshot or blunt impact such as beating or stabbing. This paper proposes…

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A Robust Approach to Automatically Locating Grooves in 3D Bullet Land Scans

Type: Research Area(s):

Published: 2019 | By: Kiegan Rice

Land engraved areas (LEAs) provide evidence to address the same source–different source problem in forensic firearms examination. Collecting 3D images of bullet LEAs requires capturing portions of the neighboring groove engraved areas (GEAs). Analyzing LEA and GEA data separately is…

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DNA Mixture Interpretation: Thoughts and Lessons Learned from a NIST Scientific Foundation Review

Type: Research Area(s):

In the process of working on a NIST Scientific Foundation Review on DNA mixture interpretation over the past two years, our team has gathered and studied the scientific literature on the topic and carefully considered principles and best practices. Key…


An Overview of CSAFE’s Publically Available Datasets

Type: Research Area(s): ,

Forensic scientists and researchers can now directly implement CSAFE data into their laboratory work. CSAFE forensic databases are publically available and can be utilized to test current analysis techniques, design new methods, and increase confidence in forensic evidence conclusions. This…


Processing Stamp Bags for Latent Prints: Impacts of Rubric Selection and Gray-Scaling on Experimental Results

Type: Research Area(s):

Published: 2019 | By: B. Barnes

We report data on two open issues in our previous experimentation seeking an effective method for development of latent prints on glassine drug bags: (1) the choice of rubric to assess the quality of fingerprints and (2) the choice of…

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Bloodstain analysis

Feature-based analysis of bloodstain patterns

Type: Research Area(s):

A key task in the analysis of bloodstain pattern analysis is to identify the mechanism by which the stains were created.   Examples include impact, gunshot, castoff, and expiration.  This webinar will introduce how images of bloodstain patterns can be represented…


What do forensic analysts consider relevant to their decision making?

Type: Research Area(s):

Published: 2019 | By: Brett O. Gardner

In response to research demonstrating that irrelevant contextual information can bias forensic science analyses, authorities have increasingly urged laboratories to limit analysts' access to irrelevant and potentially biasing information (Dror and Cole (2010) [3]; National Academy of Sciences (2009) [18];…

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Perceptions and estimates of error rates in forensic science: A survey of forensic analysts

Type: Research Area(s):

Published: 2019 | By: Daniel C. Murrie

Every scientific technique features some error, and legal standards for the admissibility of scientific evidence (e.g., Daubert v. Merrill Dow Pharmaceuticals, Inc., 1993; Kumho Tire Co v. Carmichael, 1999) guide trial courts to consider known error rates. However, recent reviews…

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Latent Print Proficiency Testing: An Examination of Test Respondents, Test-Taking Procedures, and Test Characteristics.

Type: Research Area(s):

Published: 2019 | By: Brett O. Gardner

Proficiency testing is a key component of quality assurance programs within crime laboratories and can help improve laboratory practices. However, current proficiency testing procedures contain significant limitations and can be misinterpreted by examiners and court personnel (Garrett & Mitchell, 2018).…

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A convolutional neural network for outsole recognition

Type: Research Area(s):

Published: 2019 | By: Neil Spencer

A common goal of forensic shoeprint analysis is to identify shoe models or designs that are similar to that of a given print, such as a print found at a crime scene. Quantifying similarity between shoe outsole patterns is difficult…

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