Quantifying and Evaluating Forensic Evidence

Date:

08/02/2012 - 09/02/2012

Organised by:

Lancaster University

Presenter:

Dr David Lucy

Level:

Entry (no or almost no prior knowledge)

Contact:

psc@lancaster.ac.uk

Location:

View in Google Maps  (LA1 4YF)

Venue:

PSC, Lancaster University, Bailrigg

Description:This course is aimed at professionals from law, law enforcement, and forensic science, who have a need for greater quantification of their findings for presentation in the criminal or civil justice systems. It aims to give, to those whose mathematical skills may be minimal, a basic grounding in the evaluation of observations commonly made by forensic scientists within a context of evidence.
An introduction to probability theory. The third law of probability and generalization to dependent events, and joint, unconditional and conditional probability. This will lead to Bayes' theorem and extension to non-data priors, then the likelihood ratio will be introduced as a measure of evidential strength.
Simple examples from forensic casework will be taught as an interactive session. Then the ideas will be developed to statistical genetics, including Hardy-Weinberg equilibrium, linkage equilibrium; the evaluation of DNA matching evidence, this will include sub-population effects, and which databases to use.

Cost:

See website for details.

Website and registration:

Register for this course

Region:

North West

Keywords:

Quantitative Approaches (other)


Related publications and presentations from our eprints archive:

Quantitative Approaches (other)

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