Complex Systems is a transdisciplinary research area that builds on statistical physics, computer science, data science, and applied mathematics. Complex systems consist of large numbers of interacting elements, with stochastic interactions and non-trivial interaction structure. They are often outcomes of evolutionary processes, and display rich structures and dynamical phenomena from self-organization to phase transitions. Complex systems are found at all scales in Nature, from the complex machinery operating inside our cells to the human brain and to various aspects of human sociality and the networked social organization of humans. Intriguingly, these systems are often shaped by forces of similar nature, and therefore understanding one system may provide surprising insights into entirely different domains.
Our faculty has a strong focus on complex networks and network science, with applications in (among others) social networks, computational social science, network neuroscience, biomedical sciences and health technology, as well as humanities. Professor Kimmo Kaski is the representative of the research area. The research groups of the area are internationally well connected and engaged in multi-disciplinary collaboration with top-class teams in e.g. University of Oxford, Central European University, ENS Lyon, Northeastern University, The University of Tokyo, and Riken Advanced Institute for Computational Science.
For students, we run the Complex Systems major within the Master's Programme in Life Science Technologies.
We host several frequently visiting professors: Robin I.M. Dunbar, János Kertész, Rafael Barrio, Márton Karsai, and Hang-Hyun Jo.