Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.
Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.
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McInnes, P.A. and Beech, P.N.H. (2005) Time, fear and suffering in post-dualist states of being. Ephemera: Critical Dialogues on Organization, 5 (1). pp. 53-67. ISSN 1473-2866
Cairns, George and McInnes, Peter and Roberts, Phil (2003) Organizational space/time: From imperfect panoptical to heterotopian understanding. Ephemera: Critical Dialogues on Organization, 3 (2). pp. 126-138. ISSN 1473-2866