| EPSRC Reference: |
EP/M50712X/1 |
| Title: |
Advancing Consumer Protection Through Machine Learning: Reducing Harm in Gambling |
| Principal Investigator: |
Garcez, Professor Ad |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computing |
| Organisation: |
City, University of London |
| Scheme: |
Technology Programme |
| Starts: |
01 October 2014 |
Ends: |
31 December 2015 |
Value (£): |
104,938
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Human-Computer Interactions |
| Information & Knowledge Mgmt |
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| EPSRC Industrial Sector Classifications: |
| Financial Services |
Food and Drink |
| Healthcare |
Creative Industries |
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| Related Grants: |
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| Panel History: |
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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.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.city.ac.uk |