The update directly addresses online casino player protection through a regulatory tool for detecting risky gambling behaviour among online casino players.
The algorithm's application to online casinos and its focus on harm prevention aligns with player protection measures specific to the casino segment.
Topic
The update describes the publication of an open-source algorithm designed to detect risky gambling behaviour and identify players at risk of harm, which is a core harm minimisation framework supporting player protection obligations.
The algorithm functions as a tool for monitoring player behaviour and triggering early intervention based on risky activity patterns, which aligns with Customer Interaction requirements for proactive risk profiling.
2026-08-21 09:46:19·prandeo@vixio.com
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Onderzoekers van de Universiteit van Amsterdam (UvA) presenteren een algoritme dat het risicogedrag van spelers in online casino’s inschat op basis van hun werkelijke speelgedrag.
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TITLE: Netherlands Gambling Authority Publishes Open Source Algorithm for Detecting Risky Online Gambling Behaviour
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The Netherlands Gambling Authority (Kansspelautoriteit) has published an open source algorithm developed by researchers at the University of Amsterdam (UvA) to identify risky gambling behaviour among online casino players. The algorithm assesses player risk based on actual gambling activity and is now available on the Gambling Authority's website.
The algorithm was developed by UvA doctoral researcher Charles de Leau under the supervision of professors Reinout Wiers (Psychology) and Johan Bollen (Computer Science). It functions as an independent, transparent tool designed to detect problematic gambling behaviour at an early stage. The research was funded by the Gambling Authority's Addiction Prevention Fund (Verslavingspreventiefonds).
The open source nature of the algorithm enables operators, regulators, and researchers to access and implement the tool to monitor player behaviour and identify individuals at risk of developing gambling-related harms. By making the algorithm publicly available, the Gambling Authority aims to support the industry and stakeholders in implementing evidence-based harm prevention measures across online casino platforms in the Netherlands.
The algorithm is accessible via the Gambling Authority's website and represents a collaborative effort between academic research and regulatory oversight to enhance player protection in the online gambling sector.
REFERENCES:
Kansspelautoriteit (Dutch Gambling Authority) – official announcement
Open source-model geeft nieuw zicht op risicogedrag bij online gokken | Kansspelautoriteit Overslaan en naar de inhoud gaan Open source-model geeft nieuw zicht op risicogedrag bij online gokken Onderzoekers van de Universiteit van Amsterdam (UvA) presenteren een algoritme dat het risicogedrag van spelers in online casino’s inschat op basis van hun werkelijke speelgedrag. Het algoritme is beschikbaar op de website van de Kansspelautoriteit (Ksa) via deze link. Het algoritme is een onafhankelijk, transparant instrument om risicovol gokgedrag vroegtijdig te signaleren. UvA-promovendus Charles de Leau ontwikkelde het model met hoogleraren Reinout Wiers (Psychologie) en Johan Bollen (Informatica). Het onderzoek is gefinancierd uit het Verslavingspreventiefonds van de Ksa. Voor het volledige bericht, zie de website van de Universiteit van Amsterdam. Persbericht UvA Terug naar boven