Quantifying systemic risk using Bayesian networks

Drona Kandhai and others published in the Risk journal

The influence of red blood cell deformability on hematocrit profiles and platelet margination

Benjamin Czaja et al. have published a new paper in PLOS Computational Biology.

Vacancy: Tenure Track

We have an open position for a Tenure Track position on Data-Driven System Dynamics.

Hydrodynamic Resistance of Intracranial Flow-Diverter Stents: Measurement Description and Data Evaluation

Gabor Zavodszky co-authored an article in Cardiovascular Engineering and Technology.

Multiscale computing for science and engineering in the era of exascale performance

Alfons Hoekstra et al. have published a position article in Philosophical Transactions A.

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

09:00 International Conference on Comp...
International Conference on Comp...
Jun 3 @ 09:00 – Jun 5 @ 19:00
https://www.iccs-meeting.org/iccs2020/ Dear Colleagues, The International Conference on Computational Science (ICCS) is celebrating its 20th edition next year in the beautiful city of Amsterdam, The Netherlands, on 3-5 June 2020. We are working diligently to make[...]

Twitter Feed (@UvA_CSL)

Take a look at our new issue image from @UvA_CSL and @Lola_UMich showing stiffened red blood cells (purple) in flow! To find out more: http://plos.io/2RcjVgr

Read all about CompBioMed's activities in the fight against coronavirus, using supercomputers #coronavirus #covid19 #hpc https://www.compbiomed.eu/compbiomed-and-coronavirus/

For some non-corona positive news, we’ve made it to the cover of the march issue of PLOS computational Biology, check it out. Congrats Ben!


Tomorrow is the last day to apply for one of two open #PhD positions on the intersection of artificial neural networks and complexity science! See https://www.uva.nl/en/content/vacancies/2020/03/20-150-phd-candidate-on-neural-networks-as-dynamical-systems.html and https://www.uva.nl/en/content/vacancies/2020/03/20-151-phd-position-on-the-intersection-of-deep-learning-causality-and-information-theory.html . Don't wait! @UvA_CSL

Interested in #dataintegration and #computationalmodels - we have a fantastic full-funded PhD position open with @mhlees . Apply by this Wednesday April 1. @UvA_CSL @UvA_IAS

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