The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Doing flood risk science differently: an experiment in radical scientific method
Open accessAbstract
In this paper, we describe an experiment in which the position of scientists with respect to flood risk management is fundamentally changed. Building on a review of three very different approaches to engaging the public in science, we contrast the normal way in which science is used in flood risk management in England and Wales with an experiment in which knowledge regarding flooding was co‐produced. This illustrates a way of working with experts, both certified (academic natural and social scientists) and non‐certified (local people affected by flooding), for whom flooding is a matter of concern, and where the event, flooding, is given agency in the experiment. We reveal a deep and distributed understanding of flood hydrology across all experts, certified and uncertified, involved in the experiment. This did not map onto the conventional dichotomy between ‘universal’ scientific expertise and ‘local’ lay expertise. By working with the event we harnessed, produced and negotiated a new and collective sense of knowledge, sufficient in our experiment to make a public intervention in flood risk management in our case‐study location. The manner in which the academic scientists involved in the practice of their science were repositioned was radical as compared with normal scientific method. It was also radical for a more fundamental reason: the purpose of our experiment became as much about creating a new public capable of making a political intervention in a situation of impasse, as it was about producing the solution itself. The practice of knowledge generation, the science undertaken, worked with the hybridisation of science and politics rather than trying to extract science from it.
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Cites
Why has Critique Run out of Steam? From Matters of Fact to Matters of Concern
Latour, B. (2004) · Critical Inquiry · doi:10.1086/421123 · Cited by 5,595
Science for the post-normal age
Funtowicz, S. O., & Ravetz, J. R. (1993) · Futures · doi:10.1016/0016-3287(93)90022-l · Cited by 4,255
Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences
Oreskes, N., Shrader-Frechette, K., & Belitz, K. (1994) · Science · doi:10.1126/science.263.5147.641 · Cited by 3,010
The Third Wave of Science Studies: Studies of Expertise and Experience
Collins, H. M., & Evans, R. (2002) · Social Studies of Science · doi:10.1177/0306312702032002003 · Cited by 2,094
Stirling, A. (2008) · Science, Technology, & Human Values · doi:10.1177/0162243907311265 · Cited by 1,567
Science in Society: Re-Evaluating the Deficit Model of Public Attitudes
Sturgis, P., & Allum, N. (2004) · Public Understanding of Science · doi:10.1177/0963662504042690 · Cited by 1,236
An Essay on Framing and Overflowing: Economic Externalities Revisited by Sociology
Callon, M. (1998) · The Sociological Review · doi:10.1111/j.1467-954x.1998.tb03477.x · Cited by 1,158
WYNNE, B. (1992) · Global Environmental Change · doi:10.1016/0959-3780(92)90017-2 · Cited by 1,127
The Role of Lay People in the Production and Dissemination of Scientific Knowledge
Callon, M. (1999) · Science, Technology and Society · doi:10.1177/097172189900400106 · Cited by 474
Simple spatially-distributed models for predicting flood inundation: A review
Hunter, N. M., Bates, P. D., Horritt, M. S., & Wilson, M. D. (2007) · Geomorphology · doi:10.1016/j.geomorph.2006.10.021 · Cited by 440
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The science and practice of river restoration
Wohl, E., Lane, S. N., & Wilcox, A. C. (2015) · Water Resources Research · doi:10.1002/2014wr016874 · Cited by 710
Self-citationThe Role of Expert Opinion in Environmental Modelling
Krueger, T., Page, T., Hubacek, K., Smith, L., & Hiscock, K. (2012) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.01.011 · Cited by 413
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Di Baldassarre, G., Kooy, M., Kemerink, J. S., & Brandimarte, L. (2013) · Hydrology and Earth System Sciences · doi:10.5194/hess-17-3235-2013 · Cited by 300
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Exploratory modeling for analyzing coupled human-natural systems under uncertainty
Moallemi, E. A., Kwakkel, J., de Haan, F. J., & Bryan, B. A. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102186 · Cited by 130
Metadata
- Authors
- Lane, S. N., Odoni, N., Landström, C., Whatmore, S. J., Ward, N., & Bradley, S.
- Venue
- Transactions of the Institute of British Geographers
- Publisher
- Wiley
- Published
- 2010-10-21
- Volume
- 36
- Issue
- 1
- Pages
- 15-36
- ISSN
- 0020-2754 (ISSN-L)
- 1475-5661
- OpenAlex
- W2137159068
- Cited by
- 373
- References
- 29
- FWCI
- 17.15
- Type
- journal article
- Language
- en
- Open access
- green
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- Lane, S. N., Odoni, N., Landström, C., Whatmore, S. J., Ward, N., & Bradley, S. (2011). Doing flood risk science differently: an experiment in radical scientific method. Transactions of the Institute of British Geographers. https://doi.org/10.1111/j.1475-5661.2010.00410.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.