EPSRC Reference: |
GR/S63762/01 |
Title: |
Simple Models of Complex Networks (SMoCN) Research Cluster |
Principal Investigator: |
Bullock, Professor S |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Sch of Computing |
Organisation: |
University of Leeds |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 July 2003 |
Ends: |
30 June 2004 |
Value (£): |
53,539
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EPSRC Research Topic Classifications: |
Networks & Distributed Systems |
New & Emerging Comp. Paradigms |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
Complex systems are those in which local interactions between many simple elements give rise to complex behaviour at the level of the whole system. Understanding these systems is a challenge faced by many different scientific disciplines, from neuroscience and ecology to linguistics and geography. The aim of this project is to bring together internationally leading UK researchers from a range of relevant scientific disciplines to meet and collaborate with experts in appropriate computational and mathematical modelling methodologies, in order to achieve a step change in our understanding of the way in which complex networks underlie and influence the behaviour of real-world complex systems. What unites this diverse group of researchers is thus a focus on the use of simple models to study complex networks. The proposed project will achieve its aims through holding a series of focused research workshops and smaller one-on-one meetings that will allow ideas and expertise to be developed and shared. This process will be managed towards the generation of around five well-specified inter- and multidisciplinary complex networks research proposals, which will be submitted to the EPSRC 12 months into the cluster's lifespan.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.leeds.ac.uk |