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A guide to interpreting forensic testimony: scientific approaches to fingerprint evidence
Journal article   Peer reviewed

A guide to interpreting forensic testimony: scientific approaches to fingerprint evidence

Gary Edmond, Matthew B. Thompson and Jason M. Tangen
Law, probability and risk, Vol.13(1), pp.1-25
2014

Abstract

Government & Law Law Mathematical Methods In Social Sciences Mathematics Physical Sciences Science & Technology Social Sciences Social Sciences, Mathematical Methods Statistics & Probability
In response to criticism of latent fingerprint evidence from a variety of authoritative extra-legal inquiries and reports, this essay describes the first iteration of a guide designed to assist with the reporting and interpretation of latent fingerprint evidence. Sensitive to the recommendations of these reports, we have endeavoured to incorporate emerging empirical evidence about the matching performance of fingerprint examiners (i.e. indicative error rates) into their testimony. We outline a way of approaching fingerprint evidence that provides a more accurate-in the sense of empirically and theoretically justified-indication of the value of fingerprint evidence than existing practice. It is an approach that could be introduced immediately. The proposal is intended to help non-experts understand the value of the evidence and improve its presentation and assessment in criminal investigations and proceedings. This first iteration accommodates existing empirical evidence and draws attention to the gap between the declaration of a match and positive identification (or individualization). Represented in this way, fingerprint evidence will be more consistent with its known value as well as the aims and conduct of the accusatorial trial.

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#16 Peace, Justice and Strong Institutions

Source: InCites

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.244 Chemometrics
2.244.1784 Forensic Spectroscopy
Web Of Science research areas
Law
Mathematics
Social Sciences, Mathematical Methods
Statistics & Probability
ESI research areas
Social Sciences, general
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