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.

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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)

How to even start thinking about measuring #resilience and detecting tipping points in high-dimensional data? Els Weinans' first stab at this question was just published: https://rdcu.be/cjz6R . @IngridvdL @WUR @UvA_CSL @UvA_IAS

Congrats to @dr_Royy of @UvA_CSL on his @eScienceCenter ASDI grant!

Really looking forward to working together on the interaction of climate change adaptation and poverty traps, together with @TanjaFilatova

@RCClimate @FacultyITC @EUtwente

https://uva.computationalscience.nl/asdi-grant-2020-awarded-to-study-the-impact-of-climate-change-adaptation-on-poverty-traps/

Exciting news! I am looking for a #PhD Student with strong fundamentals in Econophysics to work on modelling multidimensional poverty traps at #uva. Please submit your application (Deadline – 14 May 2021)
@Peter_Sloot @mhlees @UvA_IAS @UvA_CSL
https://tinyurl.com/zea9esjp

With Derek Groen and Peter Coveney we edited a theme issue on "Reliability and reproducibility in computational science” in Phil Trans Roy Soc A, see

https://royalsocietypublishing.org/toc/rsta/379/2197

with some more info at
https://royalsociety.org/blog/2021/03/should-we-trust-computers/

With Pavel Zun and Andrew Svitenkov a nice new paper on the influence of local coronary blood flow on development of in-stent restenosis.
@UvA_CSL
https://doi.org/10.1016/j.jbiomech.2021.110361

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