[...] «The quantification of uncertainty allows us to bring data closer to models, helping to understand increasingly complex phenomena, to outline scenarios that were unthinkable until a few years ago», explains Gianluigi Rozza, professor of numerical analysis at Sissa in Trieste and one of the presidents of the Conference on the quantification of uncertainty of the Society for Industrial and Applied Mathematics (Siam), hosted for its sixth edition by the city of Trieste.
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