Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis

Pavel Zun, Andrey Svitenkov and Alfons Hoekstra have published a new paper in Journal of Biomechanics.

Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model

D. Ye et al. published a new paper in Reliability Engineering & System Safety

Uncertainty quantification patterns for multiscale models

D. Ye et al. published a milestone concept paper on UQ for multiscale models.

Modelling the leptomeningeal collateral circulation during acute ischaemic stroke

R. Padmos published an in silico investigation on cerebral circulation during stroke.

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.”

Twitter Feed (@UvA_CSL)

Cool publication with Christian Spieker and others on the effects of micro-vessel curvature on platelet adhesion and the role of elongational flows.



HemoCell 2.4 is released!
It has shiny new documentation, new examples, new build system, other fixes and improvements. No reason not to simulate blood now!
Details over here: http://mailchi.mp/02d4daceb386/hemocell-release-2_4


Open #postdoc position: complex systems approach to adaptive pandemic management. How could we have managed #COVID19 better? Based on co-creation of models? Incorporate multiple goals? Account for emergent dynamics? Read more: https://www.uva.nl/en/content/vacancies/2021/09/21-705-postdoc-position-complexity-science-approach-to-adaptive-pandemic-management-covid-complexity-study.html @YR_CSS @UvA_IAS @UvA_CSL

Open #PhD vacancy! Topic: modelling dynamic networks of symptom interactions leading to multimorbidity. Background: computational modelling, networks, multivariate statistics, causality. Deadline: Sept. 19. https://www.uva.nl/en/content/vacancies/2021/08/21-666-phd-position-dynamic-symptoms-networks---a-novel-paradigm-to-improve-diagnosis-prognosis-and-treatment-of-multimorbidity.html?origin=FpX8Wqb2Sua7FLtTRS6KDw&cb @UvA_IAS @UvA_CSL @radboudumc @UMH_UvA

#PhD position! With my colleague Clelia Mulatier. Topic depends on the strengths of the candidate, within the intersection of Statistical Physics, Information Theory and Computer Science. More here: https://iop.uva.nl/shared/uva/en/vacancies/2021/07/21-594-phd-position-at-the-frontier-of-statistical-physics-information-theory-and-computer-science.html @UvA_CSL @UvA_IAS @Peter_Sloot @YR_CSS

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