IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
- Last Updated: 22 January 2016
Imperial College London is one of the premier technical universities in Europe. Within the Faculty of Natural Sciences, two departments (Life Sciences and Environmental Policy), are concerned with issues relevant to the sustainable management of fisheries. The Centre for Environmental Policy is a postgraduate department with 20 academic staff, 40–50 research staff and 200 MSc and PhD students. It focusses on issues of energy policy; environmental quality; sustainable transitions; and environmental security and governance. The Department of Life Sciences at Imperial College London also contains a conservation and fisheries research group which has worked in close collaboration with the Centre for Environmental Policy, particularly on economic issues related to fisheries management.
Contribution to the project: Imperial is involved in the application of bio-economic modelling approaches, strategic stakeholder inclusion and the synthesis in WPs 1, 2 and 4 applying their expertise in bio-economic modelling for fisheries management, Risk and uncertainty modelling, Risk communication and visualization, Socio-economic indicator criteria and decision-making, Natural resource governance and policy.
Description of PIs involved in the project:
- Prof. John Mumford is Professor of Natural Resource Management and Head of the Centre for Environmental Policy at Imperial College London. His research includes over 30 years of experience in ecological management and environmental security risk assessment covering managed environments for agriculture and fisheries, and risk assessment in the natural environment. He has led work packages in the Framework 6 project PRONE on fisheries risk management and is a work package leader in the FP7 ECOKNOWS project, responsible for evaluation of the management impact of improved fisheries information and reduced uncertainty. He is a work package leader in the MariFish project DEFINEIT, responsible for economic and socioeconomic indicator analysis. He has participated on the ICES Study Group on Risk Assessment and Management Advice and conducted horizon scanning projects for UK agencies on future environmental risks. He is also working with WHO on assessment and brings a range of experience of risk management and large-scale population management from several disciplines.
- Dr Clive Potter is Reader in Environmental Policy in the Centre for Environmental Policy, Imperial College London. He has over 25 years experience of research in the areas of environmental governance, rural sustainability, land use change and biosecurity policy and is a leading contributor to policy and practitioner debates associated with these issues. A key theme of Clive Potter’s work is interdisciplinarity and he has worked extensively as a social scientist with biologists and other natural scientists on projects which require integrated socio-ecological analyses in order to be policy-relevant. He brings an understanding of social survey and group elicitation/discussion methods to MYFISH, together with experience in the use of stakeholder engagement techniques.
- Dr Polina Levontin has a doctorate in environmental technology, specializing in fisheries modelling, including hierarchical multi-species modelling and Bayesian approaches. She has worked on management-focussed bioeconomic modelling in FP6 PRONE project, the FP7 fisheries projects DEEPFISHMAN and ECOKNOWS, on EFIMAS project on evaluation of operational tools for fisheries management, and on the MariFish project DEFINEIT, reviewing and modelling socio-economic indicators.
- Dr Adrian Leach has a PhD in environmental technology, specializing in phenological and spatial modelling of populations. He has worked on FP6 PRONE and FP7 ECOKNOWS and PRATIQUE projects and on a series of applications of insurance quantification and risk assessment in environmental management in commercial and government applications. He brings particular expertise to graphical demonstration methods for decision tools based on subjective assessments of ecological conditions under uncertainty to allow easy visualization of option performance.