Avoiding overstating the strength of forensic evidence: Shrunk likelihood ratios/Bayes factors
- Submitting institution
-
Aston University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 26191378
- Type
- D - Journal article
- DOI
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10.1016/j.scijus.2017.12.005
- Title of journal
- Science and Justice
- Article number
- -
- First page
- 200
- Volume
- 58
- Issue
- 3
- ISSN
- 1355-0306
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- Yes
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
1
- Research group(s)
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B - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel method proposed was used in the preparation of forensic-voice-comparison testimony presented in an appeal hearing related to a criminal case (R v Dunstan [2018] ONSC 4153). It will be integrated into a new forensic-voice-comparison system, proposed as part of a currently-held £5.4M Research England Expanding Excellence in England (E3) grant, and currently being developed in collaboration with a number of law-enforcement agencies and government-run forensic laboratories including the FBI (FBI, Expert Witness), Netherlands Forensic Institute (NFI, Researcher), German Federal Police (GFP, Forensic expert), and Swedish National Forensic Centre (NFC, Linguistic Engineer).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -