FUNDIS
Cross-Faculty programme of the University of Geneva
FUNDIS develops a unified, information-theoretic foundation-model framework for reliable scientific discovery in high-volume, heterogeneous domains where labels are scarce, noisy, or expensive.
Scientific objective
Transform pre-trained models into scientific instruments.
FUNDIS connects computer science, astronomy, particle physics, statistics, econometrics, digital humanities, and global studies through a shared model stack.
The programme uses SKA interferometry, JWST/EUCLID galaxy evolution, ATLAS event dynamics, weather and climate forecasting, cultural evolution, and global governance as stress tests for a common representation layer.