We focus on modeling cities through digital footprints of human activity. Our objective is to understand human behavior in the built environment using crowdsourced mobile and ubiquitous data; and to provide tools and insights that enhance decision making. We develop data-driven methods that combine data mining and machine learning techniques to tackle urgent urban challenges in areas such as disaster management, socio-economic development or smart transportation.

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