10th November 2025
Hilton Canary Wharf
Hilton Canary Wharf
10th November 2025
Hilton Canary Wharf
Hilton Canary Wharf
This presentation exposes the language in fraudulent communications; exploring how legitimacy and credibility are maintained while the interaction movesto requests for money. It reveals the techniques that normalize and mitigate intimate and financial requests that would otherwise cause the victim concern and shows how this can be used to protect the public from future frauds.
BIO
Dr Elisabeth Carter is a criminologist and forensic linguist who conducts interdisciplinary research at the intersection of language and the law. She is bestknown for her work in examining fraudulent interactions, particularly romance and investment fraud. Elisabeth writes research papers, journal articles, cross-sector briefings and books, and regularly features in national TV and radio series, podcasts and print media, talking about fraud, deception, grooming andcompliance. She uses her research to support law enforcement campaigns, drive police operations, deliver training in practical strategies to disrupt thepower of fraudulent communications across the public, private and third sector, and safeguard people in positions of vulnerability.
New and emerging trends in fraud and its prevention in retail.
BIO
Dr Emmeline Taylor is a Professor of Criminology with research expertise in business-related crime and security accumulated over the last 20 years. Herresearch focuses on retail crime, including armed robbery, self-service checkout, violence towards shop workers, theft, new technologies, and the evaluation of law enforcement responses to crime in the retail sector. She has conducted many studies directly with offenders to learn from them how they perceive and exploit risk with a view to informing effective mitigation strategies. She has published six books including Armed Robbers (2022) and Surveillance Futures(2017). In the UK, she is Chair of the Business Reduction Partnerships (BCRP) National Standards Board and works closely with government, the police and industry. She hosts the podcast, Retail Crime Uncovered.
Simon will explore the latest trends in APP fraud, including the increasingly sophisticated use of AI by criminals, what this means for consumers and what it means for the industry. He’ll also look at how effective data sharing across and between is not only possible but is the key to taking the fight to the fraudsters and helping keep consumers and businesses safe.
BIO
Simon is the Director of Communications and Strategy at Cifas, the UK’s leading, not for profit fraud prevention service. Before joining Cifas in June this year, Simon was Chief Policy and Communications Officer at Stop Scams UK. Simon Started his career in the Civil Service working across a number of Whitehall departments including as Deputy Director for Telecommunications and Internet Policy at the Department for Digital, Culture, Media and Sport and as Head of Policy on the Leveson Inquiry into phone hacking. He joined Three, the mobile phone network as Director of Public Polic in 2013.
Simon is also active in local politics, serving as a local Councillor in the London Borough of Waltham Forest for 12 years from 2010 and as Cabinet Member for Economic Growth and Housing Development for six years until May 2022. In this role he brought forward one of the most ambitious house building and regeneration programmes in London, including the culturally led regeneration of Walthamstow town centre and key strategic sites across North East London.
Come & gain great insights into body language and the whole area of deception detection. Darren ‘s presentations are packed with interactive psychological games and never fail to inspire, educate and entertain
BIO
Darren used to spend his time dealing with Elias cheats and criminals as a police officer since 2010 he has been a regular on our TV screens, assessing politician celebrity royalty and other public figures on their body language, behaviour and truthfulness for the program the media simply call him the human lie detector.