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

Announcing CompBioMed Conference 2019

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

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)

Inspiring lecture by Loes Crielaard on System Dynamics Modelling for Policy Making on Public Health at @UvA_IAS for SbSclub and @UvA_CSL

Yuliia Orlova performed today at @UvA_IAS on Modeling of polymer networks for the @SbSclub and @UvA_CSL

Open #postdoc position! On multi-scale computational modeling within the Health Systems #Complexity team @UvA_IAS. The newly developed bio-physical/immunological ABM model should link with individual and society-level processes, regarding Type 2 Diabetes.

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.

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