Making sense of complex data and relationships
Models are integral to advancing our understanding of the world around us. Once we have developed them, we can change parameters to test hypotheses and evaluate potential outcomes. Model construction, though, is partially based on observations from which we extract certain 'rules' or behaviours, mathematical descriptions of relationships that form the algorithms of the models themselves. Recovering the 'structure' of data can be a very complicated task. The EU-funded SO-ReCoDi project will develop robust recovery algorithms applicable to several challenging problems through a unification of multiple advanced techniques.
Fields of science
Funding SchemeERC-ADG - Advanced Grant
See on map