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Een belangrijk uitgangspunt uit de nieuwe visie op de kansspelen is dat de mate van bescherming van de speler afhankelijk moet zijn van het risico op gokschade van een gokproduct. Daarvoor moet duidelijk zijn welke productkenmerken extra risicovol zijn en wat dit betekent voor het risicopotentieel van gokproducten.\r\n\r\nDialogic heeft, in samenwerking met Amsterdam UMC en het Trimbos Instituut, onderzoek gedaan naar de risico’s op gokschade van de in Nederland vergunde gokproducten en op basis daarvan een rangorde van gokproducten opgesteld. Vernieuwend aan deze rangorde is de focus op gokschade (in plaats van gokverslaving) en de clustering van productkenmerken in cognitieve mechanismen: productkenmerken kunnen snel veranderen, de mechanismen waar ze op aangrijpen doen dat niet. We onderzochten daarnaast welke specifieke kenmerken van online gokproducten zorgen voor een verhoogd risico op gokschade. Tot slot verkenden we de mogelijkheden om burgers te informeren over de risico’s van verschillende soorten gokproducten. Dit onderzoek voerden we uit in opdracht van het WODC.\r\n\r\nDe rangorde op basis van risico’s op gokschade laat zien dat online en landgebonden speelautomaten en casinospelen én online sportweddenschappen een hoog risico op individuele en maatschappelijke gokschade hebben, en waarom. De uitkomsten van het onderzoek bieden een goed vertrekpunt om risico-gebaseerd beleid verder vorm te geven.\r\n\r\nMeer weten? 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Met een achtergrond in zowel de wiskunde als de psychologie\u002Fneurowetenschappen kan ik deze vraagstukken van verschillende kanten belichten. Daarnaast heb ik een brede maatschappelijke interesse, wat zich uit in een divers palet aan onderzoeken binnen Dialogic.\r\n\r\nVoor ik bij Dialogic kwam werken ben ik gepromoveerd in de Cognitieve Neurowetenschappen aan de Universiteit van Melbourne, waar ik onderzocht heb hoe de hersenen kunnen acteren in het ‘nu’ terwijl ze door vertragingen in neurale signalen alleen informatie hebben over het verleden. In de bijbehorende onderzoeken heb ik met behulp van menselijke hersendata en machine learning getracht dit fundamentele vraagstuk te beantwoorden. 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