Kilbertus Lab

Research focus

ERC Starting Grant · 2025

Reliable Cause-Effect Quantification in Complex Dynamical Systems for Socially Beneficial Policies

Tackling critical global challenges – climate change, personalized healthcare, or pandemic preparedness – demands robust quantification and understanding of 'if-then' relationships in complex spatio-temporal systems. Traditional dynamical models are limited by oversimplifications and computational constraints, while powerful hybrid models leveraging machine learning (ML) lack the interpretability and generalization capabilities essential for entrusting them with policy guidance. Filling this glaring research gap, DYNAMICAUS develops novel methods for reliable causal inference in such systems, overcoming existing limitations. I will establish a theoretical foundation for causal effects in…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.