Advancing a paradigm shift in evaluation of forensic evidence: The rise of forensic data science


Widespread practice across the majority of branches of forensic science uses analytical methods based on human perception, and interpretive methods based on subjective judgement. These methods are non-transparent and are susceptible to cognitive bias, interpretation is often logically flawed, and forensic-evaluation systems are often not empirically validated. I describe a paradigm shift in which existing methods are replaced by methods based on relevant data, quantitative measurements, and statistical models; methods that are transparent and reproducible, are intrinsically resistant to cognitive bias, use the logically correct framework for interpretation of evidence (the likelihood-ratio framework), and are empirically validated under casework conditions.

Publication DOI:
Divisions: College of Engineering & Physical Sciences
College of Business and Social Sciences > Aston Institute for Forensic Linguistics
Additional Information: © 2022 The Author. Published by Elsevier B.V. This is an open access article under the CC BY license 4.0 Funding: This research was supported by Research England's Expanding Excellence in England Fund as part of funding for the Aston Institute for Forensic Linguistics 2019–2023.
Uncontrolled Keywords: Forensic data science,Forensic science,Likelihood ratio,Paradigm shift,Validation,Pathology and Forensic Medicine,Law
Publication ISSN: 2589-871X
Last Modified: 17 Apr 2024 07:21
Date Deposited: 06 Jun 2022 10:42
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Related URLs: https://www.sci ... 0559?via%3Dihub (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Review article
Published Date: 2022-05
Published Online Date: 2022-05-18
Accepted Date: 2022-05-16
Authors: Morrison, Geoffrey Stewart (ORCID Profile 0000-0001-8608-8207)



Version: Published Version

License: Creative Commons Attribution

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