The ASCLD Forensic Research Committee is proud to announce the launch of the Researcher / Practitioner Collaboration Directory. The goal is to create a directory to connect researchers with ongoing projects to practitioners who are willing to participate in the studies. It is ASCLD’s hope that this listing will foster communication and cooperation between forensic researcher and practitioner communities.
If you are a researcher and would like to submit your project for listing in the Directory, please click HERE.
Please use the following items to search the entries. You can use as many of the following as you need:
Calculation of likelihood ratios from forensic comparison of fired cartridge cases
Research Organization: Staffordshire University & Aston University
Principal Investigator: Dr Rachel Bolton-King & Dr Geoffrey Morrison
Funding Source: Research England, Expanding Excellence in England (E3)
Other Collaborators Involved: Dr Basu & Dr Vogiatzis, Aston University
Email Address: firstname.lastname@example.org
Instrumentation Involved: Evofinder Data Acquisition System
Dr Bolton-King is creating a database of scans of 9 mm Luger type cartridge cases fired from semi-automatic pistols. The aim is to scan 10 cartridge cases fired from each of 1000 pistols (10,000 cartridge cases total). We currently only have 30% of our required number and therefore urgently seek support from practitioners in creating test fires for our database.
Ammunition used in test firing should have a brass primer cap and brass cartridge case. The pistols we seek test fires from should have parallel breechface marks and hemispherical firing pin impressions. Example 9mm Luger firearms include Sig Sauer P226 and P228, Hi-Point C9, Beretta 92, Ruger P85, P89 and P94, Smith & Wesson 59, Springfield P9, Browning Hi-Power, CZ 75, Kahr K9, Kel-Tec P-11, and their variants. This list is not comprehensive so please contact Rachel directly for further details if you are able to assist.
Dr Morrison and his team will subsequently exploit the database to develop and validate a system that uses image-processing and machine-learning techniques to calculate likelihood ratios addressing the hypotheses that questioned- and known-origin cartridge casings were fired from the same pistol versus that they were fired from different pistols (pistols that fire 9 mm Luger type ammunition).
Study Dates: April 25, 2021 – July 23, 2021
Support Requested: 10 fired cartridge cases from as many 9mm Luger firearms with parallel breechface marks and hemispherical firing pin impressions as possible. Submission of the corresponding test-fired bullets would also be of value, but are not essential for this phase of the research.
Estimated Participant Time Involved: Unknown – it may depend on the number of available and relevant firearms in your collection
Deliverable Anticipated: Peer-reviewed article, Oral Presentation
Case Contextual Information and its Variation among Forensic Laboratories
Research Organization: Duquesne University Forensic Science and Law Program
Principal Investigator: Taylor Hopkins
Funding Source: Duquesne University
Other Collaborators Involved: Lyndsie Ferrara, Ph.D.
Email Address: email@example.com
Discipline: All disciplines may participate!
Contextual bias is one of the most common biases discussed in the forensic science community as it can cause scientists to let case contextual information guide their decisions as opposed to the actual evidence. The purpose of my research is to investigate the amount of case contextual information requested by forensic laboratories, via their lab submission forms, and how they vary between forensic disciplines. Data will be collected using a survey that asks participants about their laboratory, laboratory submission form, and laboratory procedures as it relates to case contextual information and how it is transmitted. While more research is being done, current research articles evaluate the procedures within specific disciplines without giving a holistic view of how the forensic science community is combatting bias. The data collected will provide a comprehensive outlook on what different laboratories and disciplines are doing, or not doing, to mitigate the effects of contextual bias.
Study Dates: June 21, 2021 – August 31, 2021
Support Requested: Participants of this study will be asked to fill out a survey describing their laboratory, laboratory submission form, and laboratory procedures as it relates to case contextual information and how it is transmitted. Participation is voluntary and the participant may discontinue at any time. The form should take 5-10 minutes to complete. The survey is also anonymous and has been reviewed and approved by the IRB at Duquesne University.
Estimated Participant Time Involved: 5-10 Minutes
Deliverable Anticipated: Oral Presentation, Poster Presentation