ISI (Fondazione Istituto per l’Interscambio Scientifico)


isi-logo111The ISI Foundation is a private research institution located in Turin, Italy. It is founded and supported by the Regional Government, the Province of Turin, the City of Turin, and by the two major National Bank Institutions – San Paolo and CRT Foundation. Its mission focuses on promoting scientific interchange and cooperation at the highest degree of quality both in terms of creativity and originality of research. It aims to represent a pole of high-level interdisciplinary training in the fields of Mathematics, Physics, Computer Science, and Life Sciences.

The ISI team participating to the project is a leader in epidemic modeling and forecast. The research team brings skills and competence in the areas of data and models integration as well as in informatics and computational tools. The team has experience in theoretical and computational modeling of epidemics and has been active in developing, testing and deploying computational tools used in disease surveillance, epidemic crisis forecast and management. The ISI research unit participating to this project, the Computational Epidemiology Laboratory, gather an extensive range of scientific expertise in the areas of computational epidemiology, predictive modeling, epidemic forecasting, and in the development of computational frameworks and data integration and visualization tools.


  1. Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience. D. Paolotti, A. Carnahan, V. Colizza, K. Eames, J. Edmunds, G. Gomes, C. Koppeschaar, M. Rehn, R. Smallenburg, C. Turbelin, S.P. Van Noort, A. Vespignani, Clinical Microbiology and Infection 20: 17-21 (2014).
  2. Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm, M.Tizzoni, P. Bajardi, C. Poletto, J. J. Ramasco, D. Balcan, B. Gonçalves, N. Perra, V. Colizza, A. Vespignani., BMC Medicine 10, 165 (2012).
  3. The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global. W. Van den Broeck, C. Gioannini, B. Gonçalves, M. Quaggiotto, V. Colizza, A. Vespignani, BMC Infectious Diseases 11, 37 (2011). 
. Towards a characterization of behavior-disease models, N. Perra, D. Balcan, B. Gonçalves, A. Vespignani, PLoS ONE 6(8): e23084, (2011).
  4. Multiscale mobility networks and the spatial spreading of infectious diseases, D.Balcan, V. Colizza, B. Gonçalves, H. Hu, J. J. Ramasco, A. Vespignani, Proc Natl Acad Sci U S A 106, 21484-21489 (2009).