Source(s): Division on Addictions, Cambridge Health Alliance, a teaching affiliate of Harvard Medical School

PI(s): Dr. Howard J. Shaffer

Sponsor(s): bwin, Interactive Entertainment, AG

Description: The first available dataset for the Transparency Project comes from the collaborative Internet gambling research project involving the Division and bwin Interactive Entertainment, AG (bwin), an Internet betting service provider headquartered in Vienna, Austria. The dataset provides the first prospective longitudinal data reflecting real-time Internet sports betting behavior. It contains the information from a large cohort of participants (N=40,499) who opened an account with bwin from February 1, 2005 through February 27, 2005; this dataset also describes the actual aggregated Internet sports gambling behavior of participants during the first 8 months of a longitudinal study that took place from February 1, 2005 through September 30, 2005. This bwin Internet gambling dataset includes the following participant information: demographic information (user ID, country of residence, language, gender, registration date, age at registration), and fixed-odds and live-action betting activity (first active date, last active date, total days active, total stakes, total winnings, total bets).

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Source(s): Division on Addictions, Cambridge Health Alliance, a teaching affiliate of Harvard Medical School

PI(s): Dr. Howard J. Shaffer

Sponsor: National Center for Responsible Gaming

Description: This meta-analytic dataset extends the first comprehensive gambling related epidemiological meta-analysis published in the American Journal of Public Health in 1999 by Shaffer et al to update and refine the prevalence estimates of disordered gambling in the United States and Canada. This dataset employs an empirical strategy to synthesize estimates of gambling-related disorders across an array of differing estimation methodologies and population samples. This dataset provides the opportunity to evaluate and integrate the range of assumptions and strategies used by the various scientists who have estimated the prevalence of disordered gambling. This search strategy initially identified 193 prevalence studies and a total of 146 studies were included for analyses in this meta-analysis study.

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Source(s): Division on Addictions, Cambridge Health Alliance, a teaching affiliate of Harvard Medical School

PI(s): Dr. Howard J. Shaffer

Sponsor(s): bwin, Interactive Entertainment, AG

Description: The data includes two years of recorded Internet betting activity by a cohort of gamblers who subscribed to an Internet gambling service during February 2005. The sample included over 4,000 gamblers who played casino games. The available demographic characteristics of the research sample included age, gender, country of residence, and preferred language. The gambling behavior measures are based on participants’ monetary deposits to, and withdrawals from, their wagering accounts, as well as daily aggregates of betting activity records. The daily betting aggregates include the number of bets made, total monies wagered, and winnings credited to the bettors’ accounts. We measured the duration of gambling involvement as the number of days from the first eligible bet to the last (i.e., Duration).

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Source(s): Division on Addictions, Cambridge Health Alliance, a teaching affiliate of Harvard Medical School

PI(s): Dr. Howard J. Shaffer

Sponsor(s): bwin, Interactive Entertainment, AG

Description: This codebook provides information about the raw and analytic datasets that provided the evidence base for research focusing on actual Internet poker gambling (LaPlante et al., 2009). These datasets derive from the collaborative Internet gambling research project between the Division on Addictions (DOA) and bwin Interactive Entertainment, AG (bwin), an Internet betting service provider headquartered in Vienna, Austria. These datasets provide evidence from twenty-four months of the prospective longitudinal, real-time, Internet poker-playing behavior.

The datasets contain raw and analytic data representing twenty-four months of aggregated betting behavior data for sequential bwin subscribers who opened an account with bwin during the period from February 1, 2005 through February 28, 2005. The raw datasets RawDataSet1_DemographicsPoker and RawDataSet2_AggregatePoker represent data from 48,114 people (100% of people who subscribed during February, 2005). Of the full cohort, 4,459 elected to play poker online. Of these, we excluded 951 participants who played fewer than four poker sessions during the study period and 63 poker players who did not begin poker play until the last month of the study period (i.e., began playing poker after January 31, 2007). The resulting sample, included in the analytic data set AnalyticDataSet_Poker, consists of the remaining 3,445 people who contributed data to the analyses reported in LaPlante et al. (2009).

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PI(s): Dr. Sarah E. Nelson

Sponsor(s): St. Francis House

Description: This dataset will include the baseline assessments and, where available, graduation and follow-up assessments for 668 individuals who participated in the Moving Ahead Program (MAP) between 1999 and 2007. MAP is a 14-week life skills and work readiness instruction program available to guests at one of the largest day shelters in New England. Data include raw and scored measures of demographics, homelessness history, employment history, substance use and gambling history, criminal history, sexual history, treatment history, income, work and life skills, mental health, physical health, as well as measures of involvement and satisfaction with MAP.

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PI(s): Dr. Howard J. Shaffer

Sponsor(s): bwin, Interactive Entertainment, AG

Description: This dataset will include 2 years of the actual sports gambling behavior records of over 40,000 subscribers to bwin, 100 of whom attempted to exceed corporate deposit limits. This dataset included the daily aggregates of betting activity (i.e., the aggregate number of bets, amount of money wagered, and amount of money won for fixed-odds and live-action sports betting per calendar day) for all participants in the cohort. The data also includes information related to whether subscribers attempted to exceed corporate deposit limits.

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