| EPSRC Reference: |
GR/T11777/01 |
| Title: |
Novel Approaches to Networks of Interacting Autonomes |
| Principal Investigator: |
Marion, Professor G |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Biomathematics and Statistics Department |
| Organisation: |
Scottish Crop Research Institute (The) |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
04 October 2004 |
Ends: |
03 June 2009 |
Value (£): |
232,299
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| EPSRC Research Topic Classifications: |
| Complexity Science |
Condensed Matter Physics |
| New & Emerging Comp. Paradigms |
Population Ecology |
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| EPSRC Industrial Sector Classifications: |
| Environment |
Information Technologies |
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| Panel History: |
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Summary on Grant Application Form |
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NANIA is a collaborative project aimed at finding efficient ways to apply computation and rigorous analysis to complex systems in fields such as ecology, earthquakes, epidemics and social science. We will develop computer models which represent complex systems and can be validated by comparison with experimental data collected by our collaborators. These models are based on autonomes which represent individuals (animals, species, genes, grains of rock, people) which interact via networks which represent their connections (spatial adjacency, predator-prey relationship, gene in same phonotype, friendship or kin). The system is the subject to some external driving (food resource, changing environment, applied stress).The dynamics of these systems typically involves evolution of both the autonomes and the networks until a steady state is reached - by which we mean that although the autonomes and network may continue to evolve, certain global features (number of animals, mean connectivity, total use of resource, temperature, plate movement) reach constant values when averages over time. The nature of these steady states is unknown, as are the general condition which cause them as opposed to a collapse of the system. Indeed, even defining global properties which encapsulate the complexity of the system without describing every detail is problematic and ambiguous.NANIA involves a twin track approach. The collaborative track will involve pooling our computational expertise to produce efficient and novel ways of solving the problems and analysing our results in the more abstract framework of coarse-graining the complexity to find the common principles which govern the systems. At the same time, we will make progress in building models of specific systems: food webs, ecologies, earthquakes, gene flow and social organisation. This work will illuminate those areas, and find important results specific to those fields. The NANIA collaboration extends beyond the work funded in this proposal: other work not funded here will contribute to the second track through a series of workshops, and we adopt an open policy of extending our modelling expertise to other areas where autonome modelling has yet to make an impact.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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