New model able to predict earthquakes in the short term

New model able to predict earthquakes in the short…

1 year ago Brecht Schipper
An international group of researchers, including University of Amsterdam (UvA) professor Peter Sloot, has succeeded in predicting the location, time and magnitude of imminent earthquakes and their associated aftershocks. The results of the study were published in the online scientific journal Scient…
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1 year agoNew model able to predict earthquakes in the short…
A new Institute on Complexity in Singapore

A new Institute on Complexity in Singapore

2 years ago Brecht Schipper
Prof. Peter Sloot (Faculty of Science-Informatics Institute) has received a grant to set up an Institute of Complex Systems in Singapore. Together with Economist Prof. Brian W. Arthur and Anthropologist Prof. J. Stephen Lansing from the famous Santa Fe Institute in New Mexico (USA), Peter Sloot r…
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2 years agoA new Institute on Complexity in Singapore
Vacancy: Postdoctoral researcher in Cell-Based Blood Flow Modelling and High Performance Simulations, 38 hours per week

Vacancy: Postdoctoral researcher in Cell-Based Blo…

3 weeks ago Brecht Schipper
Project description Blood is a dense suspension of red blood cells, platelets and white blood cells, with many intriguing properties that are far from understood. We have developed a cell based blood flow model, based on a combination of a Lattice Boltzmann Model for the suspending fluid, an Imme…
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3 weeks agoVacancy: Postdoctoral researcher in Cell-Based Blo…
Vacancy: PhD candidate in High Performance Multiscale Computing, 38 hours per week

Vacancy: PhD candidate in High Performance Multisc…

3 weeks ago Brecht Schipper
Project description Background Multiscale phenomena are everywhere around us. If we study the origin and evolution of the universe or fracture of materials, if we try to understand health and disease or develop fusion as a potential energy source of the future, in all these cases we find that pr…
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3 weeks agoVacancy: PhD candidate in High Performance Multisc…
H. Tahir, I. Niculescu, C. Bona-Casas, R. M. H. Merks, and A. G. Hoekstra, “An in silico study on the role of smooth muscle cell migration in neointimal formation after coronary stenting,” J. R. Soc. Interface, vol. 12, no. 108, p. 20150358, 2015.

H. Tahir, I. Niculescu, C. Bona-Casas, R. M. H. Me…

5 mins ago Brecht Schipper
In a recent publication in The Royal Society Interface Hannan Tahir et all propose a hypothesis for the early onset of in-stent restenosis, and perform in-silico tests using a Cellular Potts Model, demonstrating that a deeper stent deployment results in on average larger fenestrae in the elastic lam…
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5 mins agoH. Tahir, I. Niculescu, C. Bona-Casas, R. M. H. Me…

“Nature is a Complex System that processes information. Computational Science aims to make the complexity of those systems tractable.”


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.