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Implementation and Practice

Overarching GOALS

As new probabilistic and statistical methods are developed they must be implemented by the forensic community. CSAFE is focused on research to facilitate the implementation of methods and identify best practices for their use. Relevant research topics include finding optimal ways to communicate statistical conclusions –– both verbally and graphically, understanding the barriers to widespread implementation, and best practices for forensic practitioners, lawyers and judges.

brandon-garrett_500x500

Brandon Garrett

L. Neil Williams Professor of Law | Co-Director of CSAFE

Duke University

Thompson, William

William C Thompson

Professor

University of California Irvine

SimonColeHi_web

Simon Cole

Professor

University of California Irvine

Additional Team Members

Susan Vanderplas
susan.vanderplas@unl.edu

Nita Farahany
farahany@duke.edu

Gregory Mitchell
greg.mitchell@law.virginia.edu

Hal S. Stern
sternh@uci.edu

Robert Ramotowski
robert.ramotowski@nist.gov

Robert Thompson
robert.m.thompson@nist.gov

Dan Murrie
murrie@virginia.edu

Sharon Kelley
smk8n@virginia.edu

Nicholas Scurich
nscurich@uci.edu

Adele Quigley-McBride
aquigley@sfu.ca

Jennifer Teitcher
jennifer.teitcher@duke.edu

Kori Khan
kkhan@iastate.edu

focus Areas

Statistical evidence can be presented to attorneys, judges and jurors in a range of ways, from verbal descriptions of the weight of evidence to numerical scores to more complicated statistical summaries. CSAFE researchers are conducting studies with various forms of testimony and conclusions to determine if these new forms of testimony are better suited to minimize misinterpretation.

The goal of this project is to better understand how to convey forensic information to laypeople in a way that is accurate and comprehensible. Our research focused initially on terms used to convey forensic conclusions and how jurors understand them. We have studied how to convey proficiency and error rate information and begun to move towards more detailed mock trial scenarios — such as studies of competing experts testifying at trial.

First, in our new work, we need to better understand as a foundational matter what informs jurors regarding the strengths and limits of forensic evidence. Our prior work has given us an initial picture of this problem. In the next set of studies, we need more realistic designs and we need to keep up with developments in the field. We will examine new ways of conveying forensic information to lay jurors as the field moves towards new standards for terminology, including as developed by OSAC, and in some settings, the use of quantitative methods and conclusions. We are also moving towards more detailed designs, including with videos of mock courtroom testimony, and perhaps jury deliberation, to make for more realistic studies. We will examine what explains the varying weight that laypeople place on forensic testimony to better understand how to explain the strengths and limits of that evidence to them.

Second, we need to study new interventions that might change how laypeople evaluate forensic evidence. We will examine newly developed language, such as terminology developed by OSAC, language required by judges in their rulings, and its impact on lay decisionmakers. We need to study what effect jury instructions might have on visual presentations. Relatedly, in addition to studying lay decisionmaking, we will also assess what lawyers currently understand (and do not understand) about the evidence forensic experts currently present (or may, in the future, choose to present) in reports and testimony, so that we can better assess the role that lawyers play in presentation of forensic evidence. Similarly, we will survey judges to better understand their role and needs in this process (as also discussed in ED II). Research on how lawyers understand and misunderstand the language in forensic science reports may help forensic scientists develop more effective reporting language. And this work may help identify undesirable courtroom practices that might mislead jurors and help inform policy regarding how lawyers should conduct themselves at trial. Ultimately, we plan to develop model training for defense lawyers and judges that will also be of value to forensic scientists as they prepare for testimony and interact with legal professionals. 

Third, based on this research, we will develop recommendations for how to better convey strengths and limits of forensic evidence in testimony, to inform new standards for such testimony. We will also develop recommendations for judicial instructions and evidentiary standards regarding forensic conclusions. Finally, we will make recommendations for work that defense lawyers and prosecutors can do to better educate jurors regarding strengths and limits of forensic evidence.

It is a key goal of CSAFE to better understand the impediments to adoption of probabilistic methods among forensic science practitioners and members of the legal community, so that they can be overcome and probabilistic methods can be effectively implemented. It is important to study attitudes of practitioners towards probabilistic analyses including both the benefits and disadvantages that they perceive. CSAFE researchers achieve this insight through surveys, interviews and observations of forensic practitioners in order to assess obstacles and methods to overcome them.

To be useful, the statistical applications developed by CSAFE will have to be adopted by forensic scientists and forensic service providers (FSPs). It is well-known that many forensic scientists and FSPs are skeptical, or even resistant, to the adoption of statistical applications. To facilitate the adoption of statistical applications, we need a better understanding of the organizational cultures of the FSPs that we hope will adopt them. Such understanding can be facilitated by a sociology of forensic science. Further, we also need a better sociological understanding of the discipline of forensic statistics. Many non-statisticians profess themselves bewildered by forensic statistics. While forensic statistics has made efforts to account for itself, it will be helpful to complement these with a sociological account, from an external perspective, about the discipline. An account that locates forensic statistics in its historical and sociological context can only enhance non-statisticians’ understanding of the discipline and nature of the applications it is seeking to implement.

Sociology of science is a well-established discipline that uses the tools of the social sciences to understand the making of scientific knowledge. While most work in sociology of science has focused on more traditional academic disciplines, like physics, biology, medicine, and engineering, there has long been a thriving line of research on forensic science. Sociologists of science are particularly drawn to forensic science because of its proximity to law, which brings two powerful truth-making social institutions (science and law) into close contact.

While there has been some work on the sociology of forensic science, there has been almost no work on the sociology of forensic statistics.

By sociologically analyzing the impact of statistical application on forensic laboratories and the reactions of forensic scientists to statistical applications, the project will allow forensic scientists to progress from a “local” perspective informed by their own experiences and personal interactions to a more “global” perspective informed by the experiences of the discipline as a whole with statistical applications.

The research will draw on the standard tools in the sociology of science. These include social scientific methods, such as interviews, participant-observation and ethnography, as well as methods drawn more from history of science, such analyses of scholarly debates conducted through published literature.

Knowledge Transfer

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Found 91 Results
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What’s in a Name? Consistency in Latent Print Examiners’ Naming Conventions and Perceptions of Minutiae Frequency

Type: Research Area(s): ,

Published: 2023 | By: Heidi Eldridge

Fingerprint minutia types influence LPEs’ decision-making processes during analysis and evaluation, with features perceived to be rarer generally given more weight. However, no large-scale studies comparing examiner perceptions of minutiae frequency to empirical counts exist. Additionally, examiner naming conventions for…

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Shifting decision thresholds can undermine the probative value and legal utility of forensic pattern-matching evidence

Type: Research Area(s): ,

Published: 2023 | By: William Thompson

Forensic pattern analysis requires examiners to compare the patterns of items such as fingerprints or tool marks to assess whether they have a common source. This article uses signal detection theory to model examiners’ reported conclusions (e.g., identification, inconclusive, or…

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The Contribution of Forensic and Expert Evidence to DNA Exoneration Cases: An Interim Report

Type: , Research Area(s): ,,

Published: 2023 | By: Simon Cole

This report is from Simon A. Cole, Vanessa Meterko, Sarah Chu, Glinda Cooper, Jessica Weinstock Paredes, Maurice Possley, and Ken Otterbourg (2022), The Contribution of Forensic and Expert Evidence to DNA Exoneration Cases: An Interim Report (National Registry of Exonerations…

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CSAFE Project Update & ASCLD FRC Collaboration

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Published: 2022 | By: Jeff Salyards

This presentation highlighted CSAFE's collaboration with the ASCLD FRC Collaboration Hub.

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Understanding forensic decision-making with Item Response Theory: Using a NFI firearms study

Type: Research Area(s): ,

Published: 2022 | By: Amanda Luby

This presentation is from the Forensic Big Data Colloquium at the Netherlands Forensic Institute, November 2022. Posted with permission of CSAFE.

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An Ounce of Prevention: A Simple and Practical Tool for Mitigating Cognitive Bias in Forensic Decisions.

Type: Research Area(s):

Published: 2023 | By: Adele Quigley-McBride

Learning Overview: The free information management toolkit described in this presentation will be introduced and attendees will learn to use this toolkit as a training tool and as a practical solution for analysts and laboratories interested in implementing the Linear…

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Sampling & Non-Response: Implications for inference in black-box studies

Type: Research Area(s): ,

Published: 2023 | By: Kori Khan

The following is from University of California Law San Francisco symposium "Forensic identification in criminal courts," February 2023. Posted with permission of CSAFE.

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The Future of Pattern Recognition in Forensic Science

Type: Research Area(s): ,

Published: 2023 | By: Alicia Carriquiry

This presentation is from World Police Summit 2023, Dubai, United Arab Emirates, March 7-9, 2023. Posted with permission of CSAFE.

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Judging Firearms Evidence

Type: Research Area(s): ,

Published: 2023 | By: Brandon L. Garrett

Firearms violence results in hundreds of thousands of criminal investigations each year. To try to identify a culprit, firearms examiners seek to link fired shell casings or bullets from crime scene evidence to a particular firearm. The underlying assumption is…

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Shining a Light on Forensic Black-box Studies

Type: Research Area(s): ,

Published: 2023 | By: Kori Khan

Forensic science plays a critical role in the United States criminal justice system. For decades, many feature-based fields of forensic science, such as firearm and toolmark identification, developed outside the scientific community's purview. The results of these studies are widely…

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Perceptions of blind proficiency testing among latent print examiners

Type: Research Area(s): ,

Published: 2023 | By: Brett O. Gardner

In recent years, scholars have levied multiple criticisms against traditional proficiency testing procedures in forensic laboratories. Consequently, on several occasions, authorities have formally recommended that laboratories implement blind proficiency testing procedures. Implementation has been slow, but laboratory management has increasingly…


What types of information can and do latent print examiners review? A survey of practicing examiners

Type: Research Area(s): ,

Published: 2023 | By: Brett Gardner

Understanding typical work practices is important to understanding the decision-making process underlying latent print comparison and improving the reliability of the discipline. Despite efforts to standardize work practices, a growing literature has demonstrated that contextual effects can influence every aspect…

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Hierarchical Bayesian non-response models for error rates in forensic black-box studies

Type: Research Area(s): ,,

Published: 2023 | By: Kori Khan

Forensic science plays a critical role in the United States criminal legal system. Historically, however, most feature-based fields of forensic science, including firearms examination and latent print analysis, have not been shown to be scientifically valid. Recently, black-box studies have…

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Reply to Response to Vacuous standards – Subversion of the OSAC standards-development process

Type: Research Area(s):

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.

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Jury Perception of Bullet Matching Algorithms and Demonstrative Evidence

Type: Research Area(s):

Published: 2022 | By: Rachel Rogers

Presented at Joint Statistical Meetings

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Unpacking the Sources of Error in Forensic Evidence

Type: Research Area(s):

Published: 2021 | By: Brandon Garrett

An overview of the Autopsy of a Crime Lab book and the ways in which error can occur in forensic evidence

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Autopsy of a Crime Lab: Addressing the Sources of Error in Forensics

Type: Research Area(s):

Published: 2022 | By: Brandon Garrett

Keynote presentation:  Autopsy of a Crime Lab book and overview of IMPL 1 Project Area

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Ensemble SLRs for Forensic Evidence Comparison

Type: Research Area(s): ,,

This CSAFE webinar was held on August 25, 2022. Presenter: Danica Ommen Assistant Professor – Department of Statistics, Iowa State University Presentation Description: To strengthen the statistical foundations of forensic evidence interpretation, likelihood ratios and Bayes factors are advocated to…


Does Image Editing Improve the Quality of Latent Prints? An Analysis of Image‐Enhancement Techniques in One Crime Laboratory

Type: Research Area(s): ,

Published: 2022 | By: Brett Gardner

The following was presented at the 74th Annual Scientific Conference of the American Academy of Forensic Sciences (AAFS), Seattle, Washington, February 21-25, 2022

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What types of information can and do latent print examiners review? A survey of practicing examiners

Type: Research Area(s): ,

Published: 2022 | By: Brett Gardner

The following was presented at the 74th Annual Scientific Conference of the American Academy of Forensic Sciences (AAFS), Seattle, Washington, February 21-25, 2022.

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