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.
Get in touch with csa@dcms.gov.uk
This question was published as part of the set of ARIs in this document:
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
Lead research organisation: EQ-CONNECT LIMITED
The project uses behavioural analytics to create a risk profile for each player, which aligns with the question's interest in understanding behavioural patterns behind harmful 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
Lead research organisation: BET BUDDY LIMITED
The project uses machine learning and big data to develop consumer protection solutions, which could support research into the harmful effects of gambling.
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 C...
Funded by: EPSRC
Lead research organisation: City, University of London
The project aims to predict problem gambling behaviour using machine learning, which could provide valuable data for research into harmful gambling.