Technical collaboration on data standards and sharing to support research and regulation - establishing precise data categories, format, frequency needed to support evidence-led policy.
Background
The Gambling team wants to broaden and strengthen its evidence base around the harmful effects of gambling and the impacts of regulation and address the barriers to gambling data access and use. Gathering evidence on the key drivers and behavioural patterns behind harmful gambling and assessing the economic and wider societal value of the sector are of key interest to the directorate. The majority of gambling is now online. Digital analytics can provide granular data to help us better understand and prevent problem gambling. At present, the government, regulators and academia have limited access to this level of data. The Gambling team wants to address this challenge and support research and regulation mainly through primary data collection from gambling users and operators and effective technical collaboration.
Next steps
Get in touch with csa@dcms.gov.uk
Source
This question was published as part of the set of ARIs in this document:
Related UKRI funded projects
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Advancing Consumer Protection Through Machine Learning: Reducing Harm in Gambling
Bet Buddy, a London-based gaming analytics start-up, and City University London are collaborating to use Big Data to develop the world's most advanced consumer protection solutions to support the global $500bn gaming (i....
Funded by: Innovate UK
Why might this be relevant?
The project focuses on using machine learning and data analytics to develop consumer protection solutions in the gambling industry, aligning with the need for technical collaboration on data standards and sharing to support research and regulation.
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Responsible Gambling: Joining Up The Approach
Gambling is a past time regularly enjoyed by almost half the adult UK population. A small but nevertheless significant number of participants are at risk of becoming 'problem gamblers' (someone who suffers negative conse...
Funded by: Innovate UK
Why might this be relevant?
The project addresses the issue of identifying at-risk players in the gambling industry, which is related to the broader goal of supporting research and regulation, but does not focus on data standards and sharing.
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An innovative web-based platform combining payments and AI to help gambling operators identify vulnerable players in a frictionless manner.
Yaspa is an award-winning UK-based payments fintech SME with a core project team of Dr Toby Sucharov (CTO, formerly at Playtech and William Hill), James Neville (CEO, formerly at Worldpay) and Max Collinge (Product Head,...
Funded by: Innovate UK
Why might this be relevant?
The project aims to help gambling operators identify vulnerable players through AI and data analysis, aligning with the need for technical collaboration on data standards and sharing, but does not specifically address precise data categories and format.