Crime Scene Analysis and Victim Identification Forum – 3rd March 2014


Thursday, 03 March 2014

Cineworld: The O2, London, SE10 0DX, UK

Our crime scene identification forum will comprise of expert speakers on different aspects of crime scene forensic examination.

This event has CPD accreditation and is part of the Forensic Forums 2014

Meeting Chair:  Dr Claire Gwinnett, Staffordshire University, UK

The deadline for abstract submissions for oral presentation is January 10th 2014

Abstracts for poster presentation only can be submitted up to two weeks before the event.

You can download the instructions for authors at

Talks include

Crime linkage: Identifying crime series in the absence of physical forensic evidence

Dr. Jessica Woodhams, Senior Lecturer in Forensic Psychology

Forensic Podiatry

Professor Wesley Vernon OBE, Head of Podiatry Services and Research Lead, Sheffield PCT Jordanthorpe Health Centre

Forensic Podiatry has been considered for over 90 years and practiced for the past 40 years.  It is however only relatively recently that the specialty has become formalised with a supportive evidence based, standards and other governance arrangements.  The lecture will provide a brief overview of forensic podiatry including it’s history, role and practice.

Forensic Gait Analysis – can we walk the walk

Professor Ivan Birch, Consultant Expert Witness, Sheffield Teaching Hospitals NHS Foundation Trust, UK

Forensic gait analysis is increasingly being used during criminal investigations, and as a source of evidence for use at trial. Despite substantial progress in the development of a research evidence base during the last two years, there remain a number of challenges to be overcome in terms of the development of best practice in this field of work. This presentation will consider the current state of the evidence base underpinning forensic gait analysis, strategies by which best practice might be developed, the challenges that practitioners commonly face, and the potential pitfalls of trying to analyse gait from CCTV footage.


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