Arguing the Case for DNA Evidence Based on Probabilistic Genotyping
Thursday September 17th, 2020 // 9:00 am - 12:30 pm
This workshop is designed to empower the DNA expert in delivering cogent arguments for DNA evidence based on probabilistic genotyping. With few exceptions, U.S. courts have delivered a number of favorable decisions supporting the admissibility of probabilistic genotyping – though not without potent challenges.
Rather than focusing on ‘how to succeed as an expert witness’, we concentrate on how to draw upon data, logic, case decisions, and scientific literature to present and defend DNA evidence based on probabilistic genotyping. Through interactive strategies, presenters in this workshop will engage participants to outline their own arguments from the information presented.
- Small groups will be used to facilitate learning for considering empirical data, the scientific literature and court testimonies to allow the participants to assimilate this information to build highly effective arguments in support of DNA evidence based on probabilistic genotyping.
- Through review of information related to probabilistic genotyping, participants will recognize unsupported challenges and misrepresentations of probabilistic genotyping software, reflect on hypothetical objections and develop credible counter-arguments.
- Participants will discuss current topics and methods to address: general acceptance; scientific testing and peer review of the technique; defense access to software and review of source code; error rates; discriminating between donors and non-donors; calibration; variability; mixture ranges, validation and independent testing; and inter-laboratory and inter-software studies; as well as a review of relevant case decisions.
Forensic DNA Analysts, Technical Leaders, Lawyers and Judges. An understanding of probabilistic genotyping software would be helpful, but not required.
|9:00 – 9:02am||Welcome, Introductions, and Overview||Mike Coble, Jo Bright|
|9:02 – 9:15am||Validation and Independent Testing||Jo Bright|
|9:15 – 9:28am||Scientific Testing and Peer Review of the Technique||Jo Bright|
|9:28 – 9:35am||Q&A||Mike Coble, Jo Bright|
|9:35 – 9:48am||General Acceptance||Mike Coble|
|9:48 – 10:01am||A Review of the Relevant Case Decisions||Mike Coble|
|10:01 – 10:14am||Defense Access to Software and Review of Source Code||Mike Coble|
|10:14 – 10:20am||Q&A||Mike Coble, Jo Bright|
|10:20 – 10:25am||BREAK|
|10:25 – 10:43am||Discriminating Between Donors and Non-Donors||Jo Bright|
|10:43 – 10:56am||Mixture Ranges||Jo Bright|
|10:56 – 11:09am||Calibration||Jo Bright|
|11:09 – 11:22am||Variability||Jo Bright|
|11:22 – 11:27am||BREAK|
|11:27 – 11:35am||Q&A|
|11:35 – 11:48am||Error Rates||Mike Coble|
|11:48 – 12:01pm||Mixture Ranges||Mike Coble|
|12:01 – 12:14pm||Inter-laboratory and Inter-software Studies||Mike Coble|
|12:14 – 12:30pm||Summary/Final Thoughts/Questions||Mike Coble, Jo Bright|
Associate Director, Center for Human Identification, UNTHSC
Michael Coble, PhD, is an Associate Professor and the Associate Director of the Center for Human Identification at the University of North Texas Health Science Center in Fort Worth, Texas. He serves as a member of the OSAC Biological Data Interpretation and Reporting Committee and is an invited guest at the Scientific Working Group on DNA Analysis Methods (SWGDAM).Submit Questions
Environmental Science and Research Limited (ESR) New Zealand
Jo-Anne Bright is a Senior Science Leader within the Forensic Biology group at the Institute of Environmental Science and Research Limited (ESR) New Zealand, where she has worked since 1999. Jo is one of the co developers of STRmix™, expert software for the interpretation of forensic DNA profiles and the new Australasian standard.Submit Questions