Daniela Paolotti got her PhD in Physics from the University of Camerino, Italy in 2005. She is Research Leader in the Computational Epidemiology and Public Health group at ISI Foundation in Turin. Before joining ISI in 2008, she was a researcher in the Bioinformatics group at the Novartis Vaccine Research Center in Siena. Her main interest is in digital and computational epidemiology. At ISI she coordinates the Europe-wide network of platforms for Web-based surveillance of influenza called Influenzanet. Since December 2016, she also leads the Data Science for Social impact group with a focus on bringing the expertise of ISI researchers in data science, data mining and machine learning, to the service of non-profit organizations that are working in the field of social innovation, philanthropy, international development and humanitarian action.
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José Javier Ramasco is staff researcher in the Spanish National Research Council CSIC associated to IFISC in Palma de Mallorca. He obtained the PhD in Physics at the University of Cantabria, Santander, Spain in 2002. Then he held two postdoctoral positions of two years each at the University of Oporto (Portugal) and Emory University, Atlanta, USA. Afterwards, he has worked as staff researcher at the ISI Foundation in Turin, Italy for four years, and then moved to IFISC. He has authored more than 80 scientific publications cited over 5,000 times in the areas of Statistical Physics, Computer Science, Epidemiology and Applied Mathematics. His interests lie in the area of complexity, in particular in networks and their application to socio-technical systems including the characterization of human mobility and urban systems.
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Márton Karsai, PhD, is an assistant professor with an INRIA research chair at the Ecole Normale Supérieure de Lyon, member of IXXI Complex System Institute. His research interest falls within human dynamics, computational social science, and data-driven research, especially focusing on heterogeneous temporal dynamics, spatial and temporal networks, and social contagion phenomena. His main expertise are in analysing large human interaction datasets and in the development of data-driven models of various social phenomena.
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