Over three intensive days in Zaragoza, 30 early-career researchers from physics, biology, chemistry, AI, and data science came together to explore Multivariate Information Theory: a principled framework for studying higher-order interactions in complex systems.
Through keynote lectures by Fernando Rosas (University of Sussex) and Pedro Mediano (Imperial College London), hands-on Python tutorials, and collaborative group projects, participants left with both the theoretical grounding and practical toolkit to tackle open questions in complex systems research.
Thanks to a free-to-attend format and dedicated student grants funded by BeyondTheEdge and CECAM, the workshop drew a geographically and disciplinarily diverse cohort, with many new ideas and potential projects on the way!