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.

Foreseeing the future of mutualistic communities beyond collapse

Rick Quax co-authored the article for Ecology Letters (IF 8.7)

New open position for a PostDoc in In-Silico Stroke Trials

We are looking for a talented PostDoc to join our team. Read on for the details!

Two open positions at our lab: PhD, Scientific programmer

We are looking for a PhD candidate and a Scientific Programmer to join our team.

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

14:00 SbS@UvA Club: Studying Crowd Beh...
SbS@UvA Club: Studying Crowd Beh...
Jan 24 @ 14:00 – 18:00
BY:Philip Rutten from Computational Science Lab, UvAABSTRACTIn this project we investigate motion patterns of people visiting large events in the Amsterdam Johan Cruyff Arena football stadium. We use localization of smart phones based on Wi-Fi[...]
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)

Getting ready for PhD defense ceremony of Vishnu Sivadasan. Great work on shear thickening suspensions.

The Computational Soft Matter lab, a collaborative initiative between chemistry, physics, and informatics at UvA, kicked off today.

Only one month left to submit an abstract for the #VPH2020 Conference, organized by @Inria and partners in Paris, France, 26-28 August 2020. More info on http://vph-conference.org

Really excited to announce a new open Ph.D. position with me on the cross-section where "information theory meets causality"! In this position you will try to identify and quantify (causal) information flows in the setting of what I call 'nudge causality'. https://www.uva.nl/en/content/vacancies/2019/12/19-878-phd-position-in-computational-science-information-theory-meets-causality.html

@AlainGoriely @VPH_Institute @AvicennaAlly In January, the Physiome journal will be launched publishing reproducible & reusable models of physiological processes where exp. details & model validation have been published or accepted for publication in a recognised 'primary' peer-reviewed journal. https://youtu.be/wuhLl_DpQ5c.

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