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 focuses on identifying at-risk gamblers and developing intervention strategies, but does not provide information on cost-effectiveness.
Around 2 million people experience some harms from gambling, and many gamble on live events (including sports) and online. The COVID-19 pandemic has precipitated unprecedented restrictions on people's movements and inter...
Funded by: COVID
Lead research organisation: University of Stirling
The project investigates changes in gambling practices during the COVID-19 pandemic and aims to provide evidence for regulators and policy makers, but does not directly address the effectiveness or cost-effectiveness of harm prevention interventions.
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 to develop consumer protection solutions in the gaming industry, which could potentially reduce harm in gambling, but does not provide specific information on the effectiveness or cost-effectiveness of these interventions.