This article summarized 37 studies that applied data science techniques to the area of responsible gambling. This article represents the first attempt to summarize this growing area of research in a systematic way. The authors described the studies according to the main data science technique used: 1) cluster analysis; 2) supervised machine learning; and 3) other techniques. The first two categories of studies mainly relied on online behavioural tracking data. The last used a variety of data sources (e.g., self-report questionnaires). The authors noted some limitations of the studies, including lack of generalizability and difficulty in reproducibility. Several suggestions for future research in this area are offered.
