In-Silico Trials for Treatment of Acute Ischemic Stroke

Alfons Hoekstra et al. published a new paper in Frontiers in Neurology.

Mapping the multicausality of Alzheimer’s disease through group model building

Applying systems thinking to map out known causal mechanisms and risk factors ranging from intracellular to psychosocial scales in sporadic AD.

Inverse Uncertainty Quantification of a cell model using a Gaussian Process metamodel

Kevin de Vries, alumnus of the Computational Science Lab, together with his daily supervisors Anna Nikishova and Ben Czaja, and scientific advisors Gabor Zavodszky and Alfons Hoekstra published his master thesis work on "Inverse Uncertainty Quantification of a cell...

Virtual flow diverter implantation with realistic deployment mechanics and validated force response

Gabor Zavodszky et al. published a new paper in Numerical Methods in Biomedical Engineering.

Quantifying systemic risk using Bayesian networks

Drona Kandhai and others published in the Risk journal

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.

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

Upcoming Events

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Twitter Feed (@UvA_CSL)

Again looking for someone to come help us make sense of the complex system called organized crime! Either PhD or PD position. @UvA_CSL @UvA_IAS @Peter_Sloot

The first Young Talent Symposium of the Dutch chapter of @netscisociety is coming up on November 2nd (3.30-5pm CET)!

Talks by @DirkBrockmann and of course our Young Talent @clara_stegehuis :-).

Sign up for this free virtual event at

Our latest article “Reducing the complexity of financial networks using network embeddings” has been published in Nature Scientific Reports @nature @SciReports

Check it out at
#networkscience #ML @UvA_CSL

Congratulations to Sir Roger Penrose for winning the Nobel Prize in Physics! We still warmly remember his lecture last year @UvA_IAS on the occasion of the Dutch translation of his book "The Road to Reality: A Complete Guide to the Laws of the Universe".

We're happy to welcome @James_G_Nevin as a new PhD student in the group in collaboration with @mhlees and @UvA_CSL. He will be working on the interplay of data integration and multi-scale models.

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