Call for papers for 13th Forensic Research and Teaching Conference (FORREST 2020)
The conference is jointly organised by the Forensic and Investigation Sciences (FIS) course team in the School of Life Sciences and the Forensic Institute Research Network (FIRN). FIRN is a cooperative established to promote links between academia and practitioners in forensic science.
The FORREST conference is an international conference that is dedicated to forensic education. Held annually, it focuses on a range of topics including forensic chemistry, toxicology, forensic biology, anthropology, latest techniques for latent prints examination, facial recognition, CCTV and digital evidence.
Delegates at this conference will enjoy a busy programme exploring current developments in the field of forensics. FORREST 2020 will give you the opportunity to exchange learning and teaching practices, research ideas and findings.
Delegates will also have the opportunity to experience the City of Cambridge, with activities like punting on the River Cam and attending a riverside BBQ in the city centre.
The organising committee is pleased to welcome abstract (oral presentations/posters) submissions. If you are interested in submitting an abstract for FORREST 2020, please refer to the call for papers webpage. The deadline for submissions is Friday 31 January 2020.
If you are interested in attending the conference, you can purchase Early Bird tickets now. Early Bird tickets are limited and sold on a first come, first serve basis.
Confirmed keynote speakers include Professor Tim Thompson, Professor of Applied Biological Anthropology and Associate Dean (Academic) in the School of Health & Life Sciences at Teesside University. Dr Peter Maskell, Senior Lecturer in Forensic Toxicology and a case active forensic toxicologist at Abertay University Dundee. Dr Maskell is a Charted Chemist and Chartered Scientist.
For enquiries about Cambridge FORREST 2020 please email cambridgeFORREST2020@aru.ac.uk.
To find out more about the conference please visit the FORREST website.
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