Multisectorial community programs to promote healthy living in public spaces are crucial for building a "culture of health" and could contribute to achieving the specific 2030 agendas of sustainable development goals, including reduction of inequalities; provision of inclusive, safe, resilient, and sustainable cities; and promotion of just, peaceful, and inclusive societies. In this context, the Recreovía program of Bogotá (Colombia) provides physical activity classes in parks mainly for vulnerable communities. We address the challenge of efficiently locating new Recreovía hubs through a novel robust data envelopment analysis (DEA) centric location-based decision support system (DSS) that helps the District Institute of Sports and Recreation of Bogotá (IDRD) to locate the best hubs to expand the Recreovía program throughout the city. The tool is applied to analyze different scenarios including one that was implemented in Bogotá and yielded an improvement of 28% in compound monthly growth rate of the average attendance to the hubs.

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Objective: Propose a methodology to determine the number of medical students who can rotate, for the practice of medicine, in a university hospital, so that the quality of training processes and in-patient care are assured. Materials and Methods: A three-step procedure is presented, in order to find the number of students that the institution can accept simultaneously. Results: The method is based on an integer linear model and it was implemented to assess installed capacity of General Surgery service at Hospital Universitario Clínica San Rafael, increasing in two students (33 %) the training capacity. Conclusions: The proposed methodology not only guaranties the quality of training processes and in-patient care, but also generates other intangible results such as having a more agile way of planning, reducing the planification time. The methodology is easily extended to other services within hospitals.