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CABDyN stands for Complex Agent-Based Dynamic Networks, and reflects our shared interest in network dynamics and agent-based models of complex systems across a broad range of application domains. CABDyN brings together a truly multi-disciplinary group of researchers in more than ten University Departments in Oxford, ranging from the physical, biological and computational sciences to the social, economic and political sciences. We have close links to a number of overlapping and related activities and groups, including the Oxford Martin School, the Oxford Complex Systems Group in the Physics Department, and the Nuffield Network of Network Researchers (NNNR) at Nuffield College.


CABDyN NEWS

Postdoctoral Research Assistant
We invite applications for an EPSRC funded postdoctoral research position to work on the project "Network Comparison”. This project will develop a statistically validated method for network comparison. The initial data for analysis will be protein-protein interaction networks. The post will be supervised by Professor Gesine Reinert and Professor Charlotte Deane in the Department of Statistics at the University of Oxford.
Only applications received before 12.00 noon on Monday 17 June 2013 will be considered. Interviews will take place in the week beginning 24 June 2013. Read more
21 May 2013

Black Rhino - A Financial Network Multi Agent Simulator
black_rhino is an open source easy-to-use-and-adapt financial network multi agent simulation (MAS) that serves two purposes. First, it can be used as a practical tool to simulate and analyse a model banking system. This is particularly handy for central banks and policy makers, as black_rhino fills a gap in the policy-toolbox. Second, and perhaps more importantly, it is a python module that can be easily adapted, changed, and modified for research purposes. It is intended to reduce the amount of work necessary to write a financial MAS and hence allows researchers to focus on the economic questions instead of worrying about code design patterns and basic functionality. The software is open source and published under the GNU GPL v3. You can find the latest version at sourceforge.
2 August 2012

New centre to challenge conventional economic thinking
Felix Reed-Tsochas, James Martin Lecturer in Complex Systems at Saďd Business School, University of Oxford is to head up a new Complexity Economics Programme at INET@Oxford, an interdisciplinary research centre created by the Oxford Martin School in collaboration with the Institute for New Economic Thinking (INET). INET@Oxford was established in the wake of the 2008 financial crisis, and has been launched during a period of sustained turbulence for the Euro zone, expressly in order to challenge conventional economic thinking. Read more.
12 April 2012

 

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Conferences 2013

NetSci 2013
June 3-7, Copenhagen, Denmark

 

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