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Title
Model forensic science
Fields of Research (FoR) 2008:
Author(s)
Edmond, Gary
Found, Bryan
Martire, Kristy
Ballantyne, Kaye
Hamer, David
Searston, Rachel
Thompson, Matthew
Cunliffe, Emma
Kemp, Richard
San Roque, Mehera
Tangen, Jason
Dioso-Villa, Rachel
Ligertwood, Andrew
Hibbert, David
White, David
Ribeiro, Gianni
Towler, Alice
Roberts, Andrew
Publication Date
2016
Socio-Economic Objective (SEO) 2008
Early Online Version
Abstract
This article provides an explanation of the duties and responsibilities owed by forensic practitioners (and other expert witnesses) when preparing for and presenting evidence in criminal proceedings. It is written in the shadow of reports by the National Academy of Sciences (US), the National Institute of Standards and Technology (US), the Scottish Fingerprint Inquiry and a recent publication entitled ‘How to cross-examine forensic scientists: A guide for Lawyers’. The article examines potential responses to questions focused on the need for scientific research, validation, uncertainties, limitations and error, contextual bias and the way expert opinions are expressed in reports and oral testimony. Responses and the discussion is developed around thematics such as disclosure, transparency, epistemic modesty and impartiality derived from modern admissibility and procedure rules, codes of conduct, ethical and professional responsibilities and employment contracts. The article explains why forensic practitioners must respond to the rules and expectations of adversarial legal institutions. Simultaneously, in line with accusatorial principles, it suggests that forensic practitioners employed by the state ought to conduct themselves as model forensic scientists.
Publication Type
Journal Article
Source of Publication
Australian Journal of Forensic Sciences, 48(5), p. 496-537
Publisher
Taylor & Francis
Socio-Economic Objective (SEO) 2020
2016-04-05
Place of Publication
United Kingdom
ISSN
1834-562X
0045-0618
Fields of Research (FoR) 2020
Socio-Economic Objective (SEO) 2020
Peer Reviewed
Yes
HERDC Category Description
Peer Reviewed
Yes
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