Summary
Mark Burgman is Chair of Risk Analysis and Environmental Policy in 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.
Publications
Journals
Fraser H, Bush M, Wintle BC, et al., 2023, Predicting reliability through structured expert elicitation with repliCATS (Collaborative Assessments for Trustworthy Science) process, Plos One, Vol:18, ISSN:1932-6203
Burgman M, Chiaravalloti R, Fidler F, et al., 2023, A toolkit for open and pluralistic conservation science, Conservation Letters, Vol:16, ISSN:1755-263X
Huan Y, Wang L, Burgman M, et al., 2022, A multi‐perspective composite assessment framework for prioritizing targets of sustainable development goals, Sustainable Development, Vol:30, ISSN:0968-0802, Pages:833-847
Tiernan H, Friedman S, Clube RKM, et al., 2022, Implementation of a structured decision-making framework to evaluate and advance understanding of airborne microplastics, Environmental Science and Policy, Vol:135, ISSN:1462-9011, Pages:169-181
Smith W, Hanea A, Burgman M, 2022, Can groups improve expert economic and financial forecasts?, Forecasting, Vol:4, ISSN:2571-9394, Pages:699-716