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Open Access research that uses mathematical models to solve ecological problems...

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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Jump to: 2019 | 2018 | 2017 | 2016

Number of items: 8.

2019

Allessie, D. and Janssen, M. and Ubacht, J. and Cunningham, S. and van der Harst, G. (2019) The consequences of blockchain architectures for the governance of public services : a case study of the movement of excise goods under duty exemptions. Information Polity, 24 (4). pp. 487-499. ISSN 1570-1255

Werker, Claudia and Korzinov, Vladimir and Cunningham, Scott (2019) Formation and output of collaborations : the role of proximity in German nanotechnology. Journal of Evolutionary Economics, 29 (2). pp. 697-719. ISSN 0936-9937

2018

Cunningham, Scott and Verbraeck, Alexander; (2018) Concepts and constructs of urban sensing. In: International Conference on Technology Management, Operations and Decisions. IEEE, MAR, pp. 184-189.

Haak, Eilse and Ubacht, Jolien and van den Homberg, Marc and Cunningham, Scott and van de Walle, Bartel; (2018) A framework for strengthening data ecosystems to serve humanitarian purposes. In: Proceedings of the 19th Annual International Conference on Digital Government Research. ACM, NLD.

Nevejan, Caroline and Sefkatli, Pinar and Cunningham, Scott (2018) City rhythm : Logbook of an exploration. Delft University of Technology, Delft. ISBN 9789081983914

2017

Klievink, Bram and Romijn, Bart-Jan and Cunningham, Scott and de Bruijn, Hans (2017) Big data in the public sector : uncertainties and readiness. Information Systems Frontiers, 19 (2). pp. 267-283. ISSN 1387-3326

2016

Setiya, Karan and Ubacht, Jolien and Cunningham, Scott and Oruc, Sertac; (2016) Business intelligence from user generated content : online opinion formation in purchasing decisions in high-tech markets. In: Lecture Notes in Computer Science. Springer, GBR, pp. 505-521. ISBN 9783319452333

Kwakkel, J. H. and Cunningham, S. C. (2016) Improving scenario discovery by bagging random boxes. Technological Forecasting and Social Change, 111. pp. 124-134. ISSN 0040-1625

This list was generated on Wed Jul 15 10:00:08 2020 BST.