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

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.

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.”

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Vacancy: Full professor in Theoretical Computer Science at the Informatics Institute at @UvA_Amsterdam. We are looking for a profile on the foundations of computing, information processing, (quantum) algorithms, and/or learning. Come join us! Link: https://www.uva.nl/shared-content/uva/en/vacancies/2020/07/20-430-full-professor-in-theoretical-computer-science-at-the-informatics-institute.html

Our article on Inverse Uncertainty Quantification of a cell model using a Gaussian Process metamodel is now available at https://doi.org/10.1615/Int.J.UncertaintyQuantification.2020033186

#modelling #uncertainty_quantification #sensitivity_analysis

Another fun position open : Full Prof AI4Science @UvA_Amsterdam . Come be our colleague! The Amsterdam AI ecosystem keeps getting stronger. @ams_ds @UvA_CSL https://twitter.com/wellingmax/status/1280554228818292737

Nice read on climate change via #complexity perspective @UvA_IAS @UvA_CSL https://twitter.com/Peter_Sloot/status/1279511603986288642

Gabor Závodzsky will speak today in the virtual session of the Symposium on Biomechanics in Vascular Biology and Cardiovascular Disease on incorporating cellular transport effects in macroscopic models of blood flow.
http://www.shearstresssymposium.nl
@UvA_CSL @bio_comp

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