The Transparency Project

Division on Addiction, The Cambridge Health Alliance, a Harvard Medical School teaching hospital

Publications by Dataset

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Population Trends in Internet Sports Gambling


Patterns of Daily Fantasy Sports Play: Tackling the Issues


A Scoping Review of "Responsible Drinking" Interventions


Understanding the Relation Between Social Behaviors and Daily Fantasy Sports Risk Behavior


Observations of the first GameSense-branded responsible gambling centre in a US casino


Gamblers Perceptions of Stakeholder Responsibility for Minimizing Gambling Harm


Responsible gambling: A synthesis of the empirical evidence


Associations between national gambling policies and disordered gambling prevalence rates within Europe


How Do Gamblers Start Gambling: Identifying Behavioural Markers for High-risk Internet Gambling


Using Cross-game Behavioral Markers for Early Identification of High-risk Internet Gamblers


Behavioral characteristics of Internet gamblers who trigger corporate responsible gambling interventions


Actual Internet sports gambling activity: February 2005 through September 2005


Meta-analytic prevalence estimates of disordered gambling in the US & Canada


Virtual casino gambling: February 2005 through February 2007


Sitting at the Virtual Poker Table: February 2005 through February 2007



Actual Internet sport gambling among self-limiters


Actual Internet sport gambling among subscribers who attempt to exceed corporate deposit limits


Other papers that used Transparency Project datasets

  • Adami, N., Benini, S., Boschetti, A., Canini, L., Maione, F., & Temporin, M. (2013). Markers of unsustainable gambling for early detection of at-risk online gamblers. International Gambling Studies, 13(2), 188-204.

  • Brosowski, T., Meyer, G., & Hayer, T. (2012). Analyses of multiple types of online gambling within one provider: An extended evaluation framework of actual online gambling behaviour. International Gambling Studies, 12(3), 405-419.

  • Coussement, K.,& De Bock, K. W. (2013). Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning. Journal of Business Research, 66(9), 1629-1636.

Division on Addiction. All Rights Reserved. Last Updated:  February 06, 2013