Thirteen research projects from the University of Pisa have been funded in the third edition of the Italian Science Fund (FIS3), for a total of more than EUR 16.8 million. The projects involve ten departments and include seven Starting Grants, two Consolidator Grants and four Advanced Grants, supporting innovative ideas developed both by young researchers and by established scholars.
The Italian Science Fund of the Ministry of Universities and Research has allocated a total of EUR 475 million this year to support basic research across major scientific fields, including life sciences, engineering, medical sciences, and the humanities and social sciences.
For the University of Pisa, three projects have been awarded to the Department of Mathematics: Andrea Tamburelli, Topology and Geometry of Higher-Order Teichmüller Spaces; Dario Trevisan, Optimal Transport and Large Deviations for Deep Learning Theory; Giulio Bresciani, Rational Points via Fundamental Groups.
Two projects were awarded to the Department of Physics: Manipulating Quantum Spin Liquids: A Unique Route to New Phases of Matter by Alessandro Principi; Bootstrap Applied to Quantum Field Theories by Alessandro Vichi.
Two projects also went to the Department of Civilisations and Forms of Knowledge: Medicine as a Social Practice: An Archaeology of Health and Illness in Ancient Egypt by Gianluca Miniaci; Lives on the Move: Belonging and Otherness. Women, Minors and Statelessness in the Context of Radicalisation by Renata Pepicelli.
The remaining six grants were awarded to: Lucia Tamponi, Department of Philology, Literature and Linguistics, Uncovering Latin through Non-Literary Texts: Continuity and Discontinuity in Language Change; Angioletta Sperti, Department of Law, Communicating Justice: Courts, Public Opinion and the Transformation of the Public Sphere; Marco Carlotti, Department of Chemistry and Industrial Chemistry, New Materials and Methods for the Fabrication of Organic Electronic Components on Complex Substrates; Alessandro Prete, Department of Clinical and Experimental Medicine, Application of Artificial Intelligence in the Diagnosis of Thyroid Nodules; Francesca Parisi, Department of Veterinary Sciences, Study of Feline Betaretrovirus Infection, Pathogenesis and the Missing-Part Hypothesis; Ermes Botte, Department of Information Engineering and the Enrico Piaggio Research Centre, Dynamic In-Vitro Scaling: A New Stochastic Paradigm for Characterising Cellular Processes across Different Dimensionalities.
