The Transparency Project

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

Publications by Dataset

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Second Session at the Virtual Poker Table

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

Examining Responsible Gambling Program Awareness and Engagement Trends

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