This paper presents Citizen2Vec, a serious gaming approach designed to provide decision-makers with an understanding of the complex interplay of environmental, social, and health factors within an urban population. As part of the ongoing “Blood Drop Project” study conducted in Ústí nad Labem, Czech Republic, Citizen2Vec employs a novel approach, analogous to doc2vec, by vectorizing individual citizen’s properties (data collected from surveys, physiological measurements, and geospatial mapping). Vectorization generates a comprehensive digital representation of the population, enabling to-be-discovered relationships between health, living conditions, and environmental factors. Citizen2Vec serves as both a predictive simulation tool and a decision-support system, allowing policymakers to model the effects of urban policies on public health and social well-being. By tuning parameters related to air quality, infrastructure, healthcare, and social support systems, the game outputs the impact on the virtual/simulated citizenry. Furthermore, it provides insights into how different interventions vary in effectiveness. The competition via gaming provides proposals for actual, real modifications for the disadvantaged in society by informing how effective putative interventions can be and which are most attractive because subsequent costs are (literally) part of the game. The game’s development integrates advanced analytical techniques, namely dimension reduction and computed confusion matrices. These enable the identification of specific patterns (likelihood functions) and associations between environmental exposures, living and socio-economic conditions, and health issues. Citizen2Vec represents a significant advancement in Human-Computer Interaction (HCI) for public health planning. The advantage of crowd gaming is to invite gamers to provide decision-makers with discovered policy scenarios and these choices can promote the well-being of the most disadvantaged members of an urban population.