A major challenge in many modern economic, epidemiological, ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed how preventing epidemics relies on a keen understanding of random interactions in social networks, the financial crisis in 2008 arose from structural changes in the financial lending network induced by the subprime mortgage collapse, whereas progress in curing complex diseases is aided by a robust data-driven network approach to biology.
Aiming to enhance the collaboration between cross-disciplinary network scientists, IFISC (UIB, CSIC) will hold the COSTNET17 conference. On days 25-27 of October, this meeting of more than 100 participants features around 30 contributed talks and 6 keynote talks given by M.A.J. van Duijn (Univ. of Groningen, The Netherlands), Monia Lupparelli (University of Bologna, Italy), Tiago P. Peixoto (University of Bath, UK), Peter F. Stadler (Leipzig University, Germany), Michael Szell (Hungarian Academy of Sciences) and Anna Traveset (IMEDEA, Spain). COSTNET17 will also contain meetings of the three working groups of the COST action: Network modelling, Network Interference and Prediction and Exploring network data sets.
Detailed program can be found at: COSTNET17
COST Actions are an efficient networking instrument for researchers to cooperate and coordinate nationally funded research activities, allowing them to jointly develop their own ideas in any science and technology field. As a part of these actions, COSTNET aims to facilitate interactions and collaborations between diverse groups of statistical network modellers, establishing a large and vibrant interconnected and inclusive community of network scientists.