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Complexity Science Review

Complexity Science focuses on systems of many interdependent components, showing Emergent behaviour at the system level, Self-organisation and/or Evolution. At Warwick we draw on aspects of these in existing fields, including mathematics from dynamical systems and chaos, statistical inference, physics of phase transitions, self-assembly in chemistry, network modelling in biology and neuroscience, interacting agent modelling in economics and computer science. We also look to apply scientific methods in new fields of opportunity, such as transport, health and social science applications where mass quantitative data is newly available in this information age.

A bipartite cooperation model for ecological and social networks

15:07 Wed 12 Aug 2009

Felix Reed-Tsochas, Institute for Science, Innovation and Society, Said Business School & CABDyN Complexity Centre, Oxford University.

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Science

Multilevel Hypernetworks

15:06 Wed 12 Aug 2009

Jeffery Johnson, Open University

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Science

Extreme Events: Analysis and Prediction

15:06 Wed 12 Aug 2009

Holger Kantz, Max Planck Institute for the Physics of Complex Systems.

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Science

What is emergence?

15:05 Wed 12 Aug 2009

Robert McKay, Mathematics Institute and Centre for Complexity Science, University of Warwick

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Science

The Turing approach to cognition, serious gaming and social networks

15:05 Wed 12 Aug 2009

Andras Lorincz, Faculty of Informatics, Eotvos Lorand University.

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Science

Epigenomics and Morphodynamics

15:04 Wed 12 Aug 2009

Francois Kepes, 'Modelling and Engineering Genome Architecture' team, Universite d'Evry Val d'Essonne

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