Scaling of shear-induced diffusion and clustering in a blood-like suspension
Brecht Schipper 5 months ago

Lampros Mountrakis et. al published a paper in Europhysics Letters where they demonstrate that shear-induced diffusion of red blood cells (in a two-dimensional model system) does not follow the established linear scaling with shear rate for high hematocrits. They hypothesise that collective effects in the suspension are key to understand this phenomenon, and by performing cluster analyses they sho… Read More

Solvay Workshop - "Bridging the gaps at the PCB interface" Multiscale Modelling in Physics, Chemistry and Biology, 19 - 21 April 2016, Brussels
Brecht Schipper 6 months ago

Alfons Hoekstra will speak on the Solvay Workshop "Bridging the gaps at the PCB interface" Multiscale Modelling in Physics, Chemistry and Biology. To register en for more info click here  … Read More

The 2016 conference on complex systems 19 - 22 September 2016
Brecht Schipper 7 months ago

Conference on Complex Systems 19 - 22 September 2016 The Conference on Complex Systems (CCS) has become a major venue for the Complex Systems Community since it started in 2003. After a successful event in the USA in 2015, we are now back in Europe. In AMSTERDAM(!).  CCS 2016, too, will be the major international conference and event in for complex systems and interdisciplinary science. Clic… Read More

PhD candidate in Uncertainty Quantification for Multiscale Computing, 38 hours per week
Brecht Schipper 8 months ago

The Faculty of Science of the Universiteit van Amsterdam (UvA) is one of Europe’s foremost institutions of higher education and research in its chosen fields of specialization. It plays an active role in international science networks and collaborates with universities and industry. The Faculty has approximately 4,000 students and 1,500 staff members spread over four departments and ten resear… Read More

Virtual Physiological Human Conference 26 - 28 September 2016
Brecht Schipper 8 months ago

VPH2016 offers an exciting program of state-of-the art science & engineering in computational (bio)medicine, ranging from foundational research on multiscale modelling of human (patho) physiology, via underpinning research on data science and infrastructures for the virtual physiological human, to clinical applications. More info follows… Read More


“Nature is a Complex System that processes information. Computational Science aims to make the complexity of those systems tractable.”

Group Mission

We live in a highly connected and strongly coupled world, and are surrounded by a large diversity of complex systems. All these systems have one thing in common: they process information. We aim to understand this information processing in such dynamic multi-level complex systems.

Can we detect and describe the computational structure in dynamic processes and can we provide a quantitative characterization of essential aspects of this structure? When modeling for instance traffic in a city, the interactions between the individuals driving the cars, the bicycles, and pedestrians result in a dynamic self-organizing interaction structure, which is superimposed on the road network. This can be seen as a dynamical computational structure where information is exchanged, stored, and processed. What are the essential aspects of this structure, and how do they determine the way in which information is actually stored, transferred, and processed in complex systems? And what does that mean for the overall system behavior, that is, for their emergent properties? Can we then better understand emergent properties and critical phenomena such as tipping points? For instance, where do traffic jams come from, which all of sudden seem to appear from thin air? Or, can we get a deeper understanding of the systemic economic crises that struck us in 2008? Are we able to steer or control such emergent properties? What can we do to prevent traffic jams while maintaining the throughput on the road? Maybe by bringing down velocity, or slightly controlling the traffic entering a road on the individual car level? Or more dramatically, can we ‘nudge’ the behavior of countries, large companies, and/or individuals to fight the climate change? The ever increasing and abundant availability of data, both from science and society, drives our research. We study complex systems in the context of methods like multi-scale cellular automata, dynamic networks and individual agent based models. The challenges include data-driven modeling of multi-level systems and their dynamics as well as conceptual, theoretical and methodological foundations that are necessary to understand these processes and the associated predictability limits of such large-scale computer simulations.