Creating and testing mathematical and computational models of fisheries systems using connected sets of partial differential equations and broader simulation methods. This work contributes to the scientific foundation of `ecosystem based fisheries management’ and helps pioneer radically new forms of fisheries management such as the Real Time Incentive (RTI) scheme.
Enquiry into the `essence’ of life using information and cybernetic theory. The aim is to build a coherent theory of what life essentially is and use this to better inform biological science `from molecules to ecosystems’. Examples of research include an inquiry into the basis of the autonomy of organisms, the informational foundation of biodiversity and the extent to which ecosystems are really a thing.Find out more
Open to PhD applications from those having at least a 2.1 degree (or equivalent) in a strongly mathematically based subject, who are interested in using information, cybernetic or network theory to advance our understanding of life as a phenomenon: please read my publications for clarification and inspiration.
Phd Title: Developing advanced statistical and machine learning methods to quantify the state space of large complicated fisheries management simulation models
Name: Sarah Campbell (Mathematics Graduate)
Dr Tak Fung - National University of Singapore
Dr Olga Lyashevska - Galway Mayo Institute of Technology, Ireland
Dr Deirdre Duggan - Director of Programs and Science at Masyarakat Dan Perikanan Indonesia
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