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 AccelNet-MultiNet program was launched as an NSF-supported, joint effort led by the Network Science Institutes of Northeastern University (NetSI) and Indiana University (IUNI) to expand the international community of scientific discovery and training focused around the exploration of multilayer network science. NetSI and IUNI have partnered with 4 key institutions: ISI Foundation, Central European University, UB Institute of Complex Systems, and the Center for Theoretical Physics, to build a joint US-Europe Fellowship program for young scholars and establish collaborative efforts to build consensus on the priorities and direction of the field.
Read moreThe 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.
Read morePeople
Antonio Leitão, Alberto Aleta, Elena Candellone, Henrique Ferraz De Arruda, Ariadna Fosch Muntané, Corrado Gioannini, Maxime Lucas, Paolo Milano, Yamir Moreno, Simone Poetto, Paul Raymond-Robichaud, Luca Rossi, Pietro Traversa, Ivan Vismara
Publications