Announcing CompBioMed Conference 2019

Registration how now opened for the conference on 25-27 September 2019, in London, UK.

Peter Sloot interviewed in VPRO Gids

The Dutch magazine VPRO Gids interviewed Peter Sloot about predicting the future (in Dutch).

Thesis defense Saad Alowayyed

On the 11th December 2018 Saad Alowayyed will defend his thesis 'Patterns for Multiscale Computing'. Time: 12.00 - 13.30 Location: Agnietenkapel, Amsterdam

Project started: socio-economic inequalities in diabetes type 2

Why does lower socio-economic position lead to higher incidence of diabetes type 2?

Computational model clarifies immune response during cardiac surgery

A quantitative and validated numerical model of systemic inflammation under clinical treatment conditions is presented

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.”

Upcoming events

  • No upcoming events

Twitter Feed (@UvA_CSL)

Een nieuwe blogpost op @dedataloog over Computational Science (@UvA_CSL ) versus Data Science en waarom we niet ons moeten blind staren op Machine learning

Een internationaal team van onderzoekers -onder wie twee UvA-ers van @UvA_CSL - is het gelukt om met 100-en robotjes een zelf-organiserend organisme te maken. Dit kostte ze 3 jaar.

“Detailed modelling of the movement of red blood cells and platelets in our arteries and veins provides deep insight in fundamental mechanisms that have immediate impact on health and disease”, says Gábor Zavodszky of @UvA_CSL @UvA_Amsterdam #SuperDay

Just had an excellent workshop at @UvA_IAS on emergence concepts (resilience, emergence, tipping points) and what it all means, thanks everyone!

Wang Qi just started as PhD student on analyzing (deep) neural networks in terms of complexity concepts, such as information processing. Many wild ideas in a pot! Excited to shake/stir. @UvA_CSL @UvA_IAS

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