The main goal of TraDE-OPT is the derivation and analysis of efficient optimization algorithms for solving data-driven problems with a wide range of applications, e.g. in social sciences, economics or healthcare. Data is now produced by numerous different sensors in industry, in vehicles, scanners, on the internet or by mobile devices and the production of data has virtually exploded. One of the new challenges is to extract interpretable and useful information from this data. A central tool for this is (especially convex) optimization. Project partners: Silvia Villa (Uni Genua, project coordination), Lorenzo Rosasco (Uni Genua), Jean-Christophe Pesquet (CentraleSupélec, Paris), Émilie Chouzenoux (CentraleSupélec, Paris), Kristian Bredies (U-GRAZ), Ion Necoara (UPB, Bucharest), Ewa Bednarczuk (PAS, Warschau), Daniel Węsierski (PAS, Warschau), Anna Jezierska (PAS, Warschau), François Glineur (UCL, Louvain), Curzio Basso (CAMELOT) Project webseite