Arguing the Case for DNA Evidence Based on Probabilistic Genotyping

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Workshop

Arguing the Case for DNA Evidence Based on Probabilistic Genotyping

September 17, 2020 //
9:00 am -
12:30 pm //

Description:

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.

Learning Outcomes:

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.

Intended Audience:

Forensic DNA Analysts, Technical Leaders, Lawyers and Judges. An understanding of probabilistic genotyping software would be helpful, but not required.

Agenda:

Time	Topic	Speaker
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

Description:

Learning Outcomes:

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.

Intended Audience:

Forensic DNA Analysts, Technical Leaders, Lawyers and Judges. An understanding of probabilistic genotyping software would be helpful, but not required.

Agenda:

Time	Topic	Speaker
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

Pricing:

Registration Fee$50

Workshop currently at capacity. A waitlist is available to join on our registration page.

Chair

Michael Coble

Executive Director, Center for Human Identification, UNTHSC

Michael Coble, PhD, is an Associate Professor and the Executive Director of the Center for Human Identification at the University of North Texas Health Science Center in Fort Worth, Texas. He is a Fellow of the American Academy of Forensic Sciences and a member of the International Society for Forensic Genetics. He serves as a commissioner of the Texas Forensic Science Commission and is an invited guest at the Scientific Working Group on DNA Analysis Methods (SWGDAM).

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Jo-Anne Bright

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.

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Arguing the Case for DNA Evidence Based on Probabilistic Genotyping