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Accepted VersionCC BY-NC V4.0, Open Access
Journal article
Tales of science and defiance: the case for co-learning and collaboration in bridging the science/emotion divide in water recycling debates
Journal of Environmental Planning and Management, Vol.58(10), pp.1770-1788
2015
Abstract
Although science is generally assumed to be well integrated into rational decision-making models, it can be used to destabilise consultative processes, particularly when emotions are involved. Water policies are often seen as debates over technical and engineering issues, but can be highly controversial. Recycled water proposals, in particular, can create highly emotive conflicts. Through a case study regarding the rejection of recycled water proposals in the south-east Queensland, Australia, we explore the influence of science and emotions in contemporary water planning. We highlight the dangers inherent in promoting technical water planning issues at the expense of appropriate consideration of citizen concerns. Combining the science-policy interface and stakeholder engagement literatures, we advocate for collaborative decision-making processes that accommodate emotions and value judgements. A more collaborative stakeholder engagement model, founded on the principles of co-learning, has the potential to broaden the decision-making base and to promote better and more inclusive decision-making.
Details
- Title
- Tales of science and defiance: the case for co-learning and collaboration in bridging the science/emotion divide in water recycling debates
- Authors
- Edward Alexander Morgan (Corresponding Author) - Griffith UniversityDeanna Chantal Cristina Grant-Smith - Queensland University of Technology
- Publication details
- Journal of Environmental Planning and Management, Vol.58(10), pp.1770-1788
- Publisher
- Routledge
- Date published
- 2015
- DOI
- 10.1080/09640568.2014.954691
- ISSN
- 1360-0559; 0964-0568
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 991016469102621
- Output Type
- Journal article
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