The mission of this research area is to develop new mathematical and computational theories and methods for the study of Complex Systems, including the development of rigorous theoretical foundations and novel applications in areas such as Artificial Intelligence, Network Science, Epidemiology and Brain Sciences.
TopicsProjects
The global epidemic and mobility model, Gleam, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimize the impact of potentially devastating epidemics.
Read moreICARUS will build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models processes in aviation.
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Alberto Aleta, Guilherme Ferraz de Arruda, Corrado Gioannini, Marco Guerra, Paolo Milano, Yamir Moreno, Giovanni Petri, Paul Raymond-Robichaud, Luca Rossi, Francesco Vaccarino, Ivan Vismara
Publications