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Analysis of operating environments: a diagnostic model for linking science, society and policy for sustainability


Leith, P and O'Toole, K and Haward, M and Coffey, B and Rees, C and Ogier, E, Analysis of operating environments: a diagnostic model for linking science, society and policy for sustainability, Environmental Science and Policy, 39 pp. 162-171. ISSN 1462-9011 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Elsevier Ltd.

DOI: doi:10.1016/j.envsci.2014.01.001


Through analysis of the dynamics between science and decision-making, we argue that diagnosing fit-for purpose approaches to linking science and decision-making may be possible. Such diagnosis should enable identification of appropriate processes, institutions, objects (e.g. tools, information products) and relationships that can facilitate outcomes. We begin the paper by unsettling the traditional constructions that science must distance itself from debates about values and what is at stake, and so from policy making. Then, drawing from mixed methods case studies in coastal South-eastern Australia, we describe how scientific research has had a bearing on decisions affecting society and the environment. These analyses suggest that the willingness and capacity of research organisations, programmes or projects to actively reflect on and participate in the evolution of the ‘operating environment’ for their research is integral to their ability to inform outcomes through science.

Item Details

Item Type:Refereed Article
Keywords:science policy, research outcomes, environmental governance, coastal zone management, values, problem structuring
Research Division:Human Society
Research Group:Sociology
Research Field:Sociology and social studies of science and technology
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Environmental policy, legislation and standards
Objective Field:Environmental policy, legislation and standards not elsewhere classified
UTAS Author:Leith, P (Dr Peat Leith)
UTAS Author:Haward, M (Professor Marcus Haward)
UTAS Author:Rees, C (Mr Chris Rees)
UTAS Author:Ogier, E (Dr Emily Ogier)
ID Code:91373
Year Published:2014
Web of Science® Times Cited:36
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2014-05-15
Last Modified:2018-04-09

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