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
 
                                - 
                                        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)
 
                            - 
                                        
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
 
                            - -