Predicting Problem Gambling with Payments Data – Kasra Gaharian – UNLV International Gaming Institute (IGI)

Kasra Ghaharian is a research assistant at UNLV International Gaming Institute (IGI) and Ph.D. student in UNLV’s William F. Harrah College of Hospitality.

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Kasra received his master’s in Hotel Administration from UNLV in 2010. During this time, he published “A Mathematical Approach for Optimizing the Casino Slot Floor: A Linear Programming Application,” the first study to apply mathematical methods to the age-old task of optimizing the casino floor. After his master’s, Kasra worked in the industry for several years, applying his data-driven techniques to the online and digital landscapes of two of the largest casino-hotel companies in the world.

 

Currently, for his Ph.D. dissertation and his role at IGI, he explores the implications of payment modernization for the gambling industry; specifically, his research utilizes machine learning to uncover behavioral insights and creates early detection algorithms that assist both industry operators and regulators in responsible gambling efforts as they pertain to payments.

 

Topics discussed:

 

• How does payment data help predict problem gambling
• Who is leading the research
• Who benefits from the findings
• If a problem gambler is identified, how do you approach him/her without feeling privacy is violated.

About the UNLV IGI

For more than 25 years, UNLV International Gaming Institute (IGI) has provided research-based solutions, cutting-edge insights, and executive education to the gaming industry. Described as the “global intellectual capital of gaming” by former Nevada Governor Brian Sandoval and “The Harvard of Gaming” by Global Gaming Business, IGI houses several Responsible Gaming initiatives, the Center for Gaming Innovation, the International Center for Gaming Regulation, and the Expanding the Leaderverse initiative. Each of these addresses a vital need in the global gaming industry, for which the IGI serves as an answer center populated by an internationally recognized dream team of contributors.

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