Peter Coveney, professor by special appointment of Applied High Performance Computing

Coveney will research codes which run efficiently on the largest petascale and exascale architectures which are expected to emerge in the near future. He also aims at building complex problem-solving environments.

In-silico medicine and the impact it has on the future of medicine.

Video featuring Britt van Rooij, PhD candidate in the Computational Science Lab

De Fascinatievolger deel 8: Prof. Dr. Peter Sloot

Prof. Peter Sloot is interviewed by Judith Lengkeek.

Open PostDoc position

We are looking for a postdoc on computational modelling of type 2 diabetes: interactions between biology and the social environment

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.”

Upcoming events

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Twitter Feed (@UvA_CSL)

Britt van Rooij presented on her Microfluidics adventures at Georgia Tech for #SbSclub and @UvA_CSL at @UvA_IAS

Lourens Veen is presenting on Multiscale modelling and simulation with MUSCLE3 for #SbSclub and @UvA_CSL at @UvA_IAS

IAS Associates Karien Stronks and Michel Mandjes giving a Masterclass on Interdisciplinary Research for the Amsterdam Excellence Students and the Amsterdam Science Talent Students. Great to see that many of these young talents want to pursue an interdisciplinary research career!

Happening now @UvA_IAS : Lecture by prof James Crutchfield: 'Demonology - The Curious Role of Intelligence in Physics & Biology'. You can read the abstract here: https://t.co/Ggv5CBG6cY

@VECMA4 meeting at @UvA_CSL on efficient Uncertainty Quantification

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