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Details of Grant 

EPSRC Reference: EP/M50712X/1
Title: Advancing Consumer Protection Through Machine Learning: Reducing Harm in Gambling
Principal Investigator: Garcez, Professor Ad
Other Investigators:
Slabaugh, Dr GG Weyde, Dr T
Researcher Co-Investigators:
Project Partners:
Department: Computing
Organisation: City, University of London
Scheme: Technology Programme
Starts: 01 October 2014 Ends: 31 December 2015 Value (£): 104,938
EPSRC Research Topic Classifications:
Artificial Intelligence Human-Computer Interactions
Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
Creative Industries Financial Services
Food and Drink Healthcare
Related Grants:
Panel History:  
Summary on Grant Application Form
The global gaming market is worth $500bn, with internet gaming growing at 16% YOY. As gambling continues to expand

globally across digital channels there is growing concerns in increased problem gambling. Bet Buddy and City University

have the opportunity to develop a solution to predict problem gambling behaviour, leveraging City University Machine

Learning expertise together with Bet Buddy domain exprtise in problem gambling and software egnineering. This would

enable Bet Buddy to apply machine learning techniques not yet deployd in area of growing market value and solving social

problems. Bet Buddy won its first major contract in 2013 with the Ontario Lottery and Gaming Corporation (OLG) in

Canada, and has now signed re-seller agreements with the two of the world's biggest gaming software providers, making

product exploitation achievable. This project will advance Bet Buddy's product offering by applying Artificial Intelligence (AI)

techniques to enable Bet Buddy to offer its products to more clients globally, solve emerging problems in new forms of

gambling (e.g. machine gambling), and to target new but related industries e.g. trading and social casino gaming.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Project URL:  
Further Information:  
Organisation Website: http://www.city.ac.uk