Imperial College London


Faculty of Natural SciencesCentre for Environmental Policy

Director of CEP,Chair in Risk Analysis &Environmental Policy



+44 (0)20 7594 3574m.burgman CV




Mr Leonard Pop +44 (0)20 7594 7110




101Weeks BuildingSouth Kensington Campus





Mark Burgman is Director of the Centre for Environmental Policy at Imperial College London and Editor-in-Chief of the journal Conservation Biology.  Previously, he was Adrienne Clarke Chair of Botany at the University of Melbourne, Australia. He works on expert judgement, ecological modelling, conservation biology and risk assessment.  He has written models for biosecurity, medicine regulation, marine fisheries, forestry, irrigation, electrical power utilities, mining, and national park planning.  He received a BSc from the University of New South Wales (1974), an MSc from Macquarie University, Sydney (1981), and a PhD from the State University of New York at Stony Brook (1987). He worked as a consultant ecologist and research scientist in Australia, the United States and Switzerland during the 1980’s before joining the University of Melbourne in 1990. He joined CEP in February, 2017. He has published over two hundred and fifty refereed papers and book chapters and seven authored books. He was elected to the Australian Academy of Science in 2006.



Burgman M, Layman H, French S, 2021, Eliciting Model Structures for Multivariate Probabilistic Risk Analysis, Frontiers in Applied Mathematics and Statistics, ISSN:2297-4687

Junaedi DI, Guillera-Arroita G, Vesk PA, et al., 2021, Traits explain invasion of alien plants into tropical rainforests, Ecology and Evolution, Vol:11, ISSN:2045-7758, Pages:3808-3819

Hemming V, Hanea AM, Burgman MA, 2021, What is a Good Calibration Question?, Risk Analysis, ISSN:0272-4332

Vercammen A, Marcoci A, Burgman M, 2021, Pre-screening workers to overcome bias amplification in online labour markets, Plos One, Vol:16, ISSN:1932-6203

Hemming V, Hanea A, Burgman M, 2021, What’s a good question? The effect of irrelevant questions on performance weighted aggregation of experts, Risk Analysis: an International Journal, ISSN:0272-4332

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