Open-source Problem-Gambling Detection Models Contributed by UK Universities
Problem gambling, also known as gambling disorder, is a serious mental health condition that can have devastating effects on individuals and their loved ones. It is characterized by uncontrollable urges to gamble, despite negative consequences. In the UK, problem gambling is a growing concern, with an estimated 395,000 people affected.
To tackle this issue, several universities in the UK have developed open-source problem-gambling detection models. These models use advanced technology, such as machine learning algorithms, to analyze data and identify individuals at risk of developing a gambling disorder. By making these models open-source, universities are allowing researchers and developers from around the world to collaborate and contribute to the development of effective tools for identifying and addressing problem gambling.
One such model is the Gambling-Related Harm Vulnerability Assessment Tool (GRHVAT), developed by researchers at the University https://nongamstopsites.uk/ of Oxford. This tool uses a combination of demographic information, gambling behavior data, and psychological assessments to identify individuals who may be at risk of developing a gambling disorder. By analyzing this data, the GRHVAT can help healthcare professionals intervene early and provide support to those in need.
Another open-source problem-gambling detection model is the GambleScope, developed by a team of researchers from the University of Cambridge. This model uses data from online gambling platforms to monitor and analyze individuals’ gambling behavior in real-time. By detecting patterns of problem gambling behavior, GambleScope can alert users and healthcare professionals to intervene and provide support before the behavior escalates.
In addition to these models, other UK universities, such as the University of Manchester and the University of Edinburgh, are also contributing to the development of open-source problem-gambling detection tools. By sharing their research and technology with the wider academic community, these universities are fostering collaboration and innovation in the field of problem gambling prevention and intervention.
Overall, the development of open-source problem-gambling detection models by UK universities represents a significant step forward in the fight against gambling disorder. By harnessing the power of technology and collaboration, researchers and developers are working towards creating more effective tools for identifying and addressing problem gambling. This not only benefits individuals affected by gambling disorder but also contributes to the advancement of public health and mental health research.

• University of Oxford – Gambling-Related Harm Vulnerability Assessment Tool (GRHVAT)
• University of Cambridge – GambleScope
• University of Manchester – Problem-Gambling Detection Model
• University of Edinburgh – Open-Source Tools for Problem-Gambling Detection