Advance Your Research Skills
CSAFE, a NIST Center of Excellence, values talented young scientists interested in partnering with us to improve the United States criminal justice system. Our team is increasing the scientific foundations of pattern and digital evidence through innovative research and training opportunities. Alongside contributing to the fair administration of justice, our dynamic community is passionate about mentoring the next generation of leading researchers.
With CSAFE, students gain valuable professional experience and prepare for a career in the criminal justice, forensic science, judicial and related fields. We invite students committed to innovation and excellence to inquire about our available opportunities.
The Ultimate Platform for Statistical & Forensic Education
Our new and improved learning platform is your hub for understanding complex statistical concepts with the help of cutting-edge research and real-world examples. From quick videos to in-depth courses, there’s a resource for anyone working within forensic science.
OSAC STG Student Membership
The OSAC Statistics Task Group (STG) is looking for Student Affiliate Members.
As a member, graduate students will have the opportunity to work with leading forensic statisticians and learn how statistics can help forensic scientists in their daily casework.
Interested in participating? Click the button for more information.
Student Research Opportunities
CSAFE REU AT IOWA STATE UNIVERSITY
REU, or Research Experience for Undergraduates, is CSAFE’s ten-week, immersive summer internship program where students discover how statistical and computational concepts apply to CSAFE’s key research areas in pattern or digital evidence. REU students work toward achieving CSAFE’s core mission of building a statistically sound and scientifically solid foundation for the analysis and interpretation of forensic evidence.
NIST SUMMER UNDERGRADUATE RESEARCH FELLOWSHIP (SURF)
CSAFE partner, NIST, operates A summer program called SURF. The SURF program is designed to inspire undergraduate students to pursue careers in STEM through a unique research experience that supports the NIST mission. For 11 weeks, SURF students contribute to the ongoing research of one of the six NIST facilities. Students work under the mentorship of a NIST scientist or engineer.
DATA SCIENCE FOR THE PUBLIC GOOD YOUNG SCHOLARS PROGRAM
The Data Science for the Public Good (DSPG) Young Scholars program is an immersive summer program that engages students from across Iowa to work together on projects that address local and state government challenges around critical social issues relevant in the world today. DSPG resident scholars conduct research at the intersection of statistics, computation and the social sciences to determine how information generated within every community can be leveraged to improve quality of life and inform public policy.
RESEARCH OPPORTUNITIES AT CSAFE
CSAFE undergraduate research positions will advance your problem solving, professional communication and research skills. You will work alongside our team of statisticians, scientists, post-doctoral scholars and graduate students on complex and challenging projects in areas such as firearms, handwriting, bloodspatter and shoeprint analysis. These academic initiatives provide future forensic science professionals with hands-on opportunities to learn about the roles statistics and computational analysis play in both research and the field.
Available Resources
For Students
Found 201 Results
Page 1 of 11
Page 1 of 11
Page 1 of 11
Towards a likelihood ratio approach for bloodstain pattern analysis
Type: Publication Research Area(s): Bloodstain,Forensic Statistics
Published: 2022 | By: Tong Zou
In this work, we explore the application of likelihood ratio as a forensic evidence assessment tool to evaluate the causal mechanism of a bloodstain pattern. It is assumed that there are two competing hypotheses regarding the cause of a bloodstain…
Does image editing improve the quality of latent prints? An analysis of image-editing techniques in one crime laboratory
Type: Publication Research Area(s): Latent Print
Published: 2023 | By: Brett Gardner
Field research within latent print comparison has remained sparse in the context of an otherwise growing body of literature examining the discipline. Studies examining how ACE-V procedures are implemented within active crime laboratories are especially lacking in light of research…
An Open-Source Implementation of the CMPS Algorithm for Assessing Similarity of Bullets
Type: Publication Research Area(s): Firearms and Toolmarks,Forensic Statistics
Published: 2022 | By: Wangqian Ju
In this paper, we introduce the R package cmpsR, an open-source implementation of the Congruent Matching Profile Segments (CMPS) method developed at the National Institute of Standards and Technology (NIST) for objective comparison of striated tool marks. The functionality of…
A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns
Type: Poster Research Area(s): Bloodstain
Published: 2022 | By: Tong Zou
This poster was presented at the 106th International Association for Identification
A Pipeline for Cartridge Case Comparisons
Type: Poster Research Area(s): Firearms and Toolmarks
Published: 2022 | By: Joseph Zemmels
We introduce novel sub-procedures in the pre-processing, comparison and similarity feature steps. The sub-procedures result in an improved error rate compared to our implementation of the CMC method while also requiring fewer parameters. The fitted Decision tree model is easily…
Reply to Response to Vacuous standards – Subversion of the OSAC standards-development process
Type: Publication Research Area(s): Implementation and Practice
Published: 2021 | By: Geoffrey Stewart Morrison
This Letter to the Editor is a reply to Mohammed et al. (2021) https://doi.org/10.1016/j.fsisyn.2021.100145, which in turn is a response to Morrison et al. (2020) “Vacuous standards – subversion of the OSAC standards-development process” https://doi.org/10.1016/j.fsisyn.2020.06.005.
LibDroid: Summarizing information flow of Android Native Libraries via Static Analysis
Type: Publication Research Area(s): Digital
Published: 2022 | By: Chen Shi
With advancements in technology, people are taking advantage of mobile devices to access e-mails, search the web, and video chat. Therefore, extracting evidence from mobile phones is an important component of the investigation process. As Android app developers could leverage…
Jury Perception of Bullet Matching Algorithms and Demonstrative Evidence
Type: Poster Research Area(s): Implementation and Practice
Published: 2022 | By: Rachel Rogers
Presented at Joint Statistical Meetings
Comparing handwriter and FLASH ID®, Two Handwriting Analysis Programs
Type: Presentation Slides Research Area(s): Handwriting
Published: 2022 | By: Stephanie Reinders
FLASH ID and handwriter are computer programs that compare questioned handwritten documents against handwritten samples from known writers. FLASH ID was developed by Sciometrics and is used by the FBI, Handwriter is an open-source R package designed by CSAFE. We…
Evaluating Reference Sets for Score-Based Likelihood Ratios for Camera Device Identification
Type: Presentation Slides Research Area(s): Digital
Published: 2022 | By: Stephanie Reinders
An investigator wants to know if an illicit image captured by an unknown camera was taken by a person of interest’s (POI’s) phone. Score-based likelihood ratios (SLRs) have been used to answer this question in previous research. We explore whether…
Error Rate Methods for Forensic Handwriting Identification
Type: Presentation Slides Research Area(s): Forensic Statistics,Handwriting
Published: 2022 | By: Danica Ommen
Presentation is from the 106th International Association for Identification (IAI) Annual Educational Conference
Modeling Covarying Responses in Complex Tasks
Type: Publication Research Area(s): Latent Print
Published: 2022 | By: Amanda Luby
In testing situations, participants are often asked for supplementary re- sponses in addition to the primary response of interest, which may in- clude quantities like confidence or reported difficulty. These additional responses can be incorporated into a psychometric model either…
Analyzing spatial responses: A comparison of IRT- based approaches, Conference Presentation
Type: Presentation Slides Research Area(s): Latent Print
Published: 2022 | By: Amanda Luby
We investigate two approaches for analyzing spatial coordinate responses using models inspired by Item Response Theory (IRT). In the first, we use a two-stage approach to first construct a pseudoresponse matrix using the spatial information and then apply standard IRT…
Characterizing Variability in Forensic Decision-Making with Item Response Theory
Type: Presentation Slides Research Area(s): Latent Print
Published: 2022 | By: Amanda Luby
This presentation is from the 2022 Joint Statistical Meetings
Measuring Proficiency among Latent Print Examiners: A Statistical Approach from Standardized Testing
Type: Presentation Slides Research Area(s): Forensic Statistics,Latent Print
Published: 2022 | By: Amanda Luby
This presentation is from the 74th Annual Scientific Conference of the American Academy of Forensic Sciences
Ensemble of SLR systems for forensic evidence
Type: Poster Research Area(s): Forensic Statistics
Published: 2022 | By: Federico Veneri
Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratio and Bayes Factor to quantify the value of forensic evidence. Scores allow formulating comparisons using a lower-dimensional metric, which becomes relevant for complex evidence where…
Likelihood Ratios for Categorical Evidence with Applications to Digital Forensics
Type: Poster Research Area(s): Digital,Forensic Statistics
Published: 2022 | By: Rachel Longjohn
In forensic investigations, the goal of evidence evaluation is often to address source-/identity-based questions in which the evidence consists of two sets of observations: one from an unknown source tied to a crime and the other from a known source.…
Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data
Type: Poster Research Area(s): Handwriting
Published: 2022 | By: Andrew Lim
Primary goals are to examine: 1. Write diversification versus representation. 2. Preservation of handwriting structure versus image density. 3. Input size versus training size. 4. Writer identification complexity assessment using various test sites.
A New Algorithm for Source Identification of Look-alike Footwear Impressions Based on Automatic Alignment
Type: Presentation Slides Research Area(s): Footwear
Published: 2022 | By: Hana Lee
Presentation at the International Association for Identification
Affect of Manufacturer Finishing Methods on Subclass Characteristics Production on Breech Faces
Type: Presentation Slides Research Area(s): Firearms and Toolmarks
Published: 2022 | By: Veronica Franklin
The following is a presentation given at Association for Firearms and Toolmarks (AFTE) (2022).
Page 1 of 11