Simulation of Complex Systems

We live in a world abundant of so-called complex systems. A complex system consists of a very large collections of interacting individual elements. These could be molecules in a material, cells in the human body, interacting species in an ecosystem, animals transmitting an infectious disease within a group, interacting cars in traffic, trains in a rail network, or individuals in a crowd. A complex system is not just a complicated system: a thumb rule for a complex system is that the properties of the system as a whole are vastly different from what can be gleaned from a first glance at (the sum of) their parts.

In our group we have taken up the challenge to model and simulate complex systems. We focus on materials, infectious disease transmission and networks. We devote ourselves on emergent behaviour, transition and robustness properties of these systems.


As a group, we are always interested in research collaborations on all themes related to our field; both with research institutes as well as companies. Please contact us if you want to discuss opportunities for collaboration.

Simulation of Complex Systems is one of the research groups of the division Algorithms within the department of Information and Computing sciences.