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Cited by 521

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Countering the Loading-Dock Approach to Linking Science and Decision Making: Comparative Analysis of El Niño/Southern Oscillation (ENSO) Forecasting Systems

Cash, David W., Borck, Jonathan C., Patt, Anthony G.·2006·Science, Technology, & Human Values

Abstract

This article provides a comparative institutional analysis between El Niño/Southern Oscillation (ENSO) forecasting systems in the Pacific and southern Africa with a focus on how scientific information is connected to the decision-making process. With billions of dollars in infrastructure and private property and human health and well-being at risk during ENSO events, forecasting systems have begun to be embraced by managers and firms at multiple levels. The study suggests that such systems need to consciously support the coproduction of knowledge. A critical component of such coproduction seems to be managing the boundaries between science and policy and across disciplines, scale, and knowledges to create information that is salient, credible, and legitimate to multiple audiences. This research suggests institutional mechanisms that appear to be useful in managing such boundaries, including mechanisms for structuring convening, translation, collaboration, and mediation functions.

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Metadata

Authors
Cash, D. W., Borck, J. C., & Patt, A. G.
Venue
Science, Technology, & Human Values
Published
2006-07
Volume
31
Issue
4
Pages
465-494
ISSN
  • 0162-2439 (ISSN-L)
  • 1552-8251
OpenAlex
W2023840321
Cited by
521
References
42
FWCI
15.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Countering the Loading-Dock Approach to Linking Science and Decision Making: Comparative Analysis of El Niño/Southern Oscillation (ENSO) Forecasting Systems. https://app.cochat.ai/papers/10.1177/0162243906287547
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Cash, D. W., Borck, J. C., & Patt, A. G. (2006). Countering the Loading-Dock Approach to Linking Science and Decision Making: Comparative Analysis of El Niño/Southern Oscillation (ENSO) Forecasting Systems. Science, Technology, & Human Values. https://doi.org/10.1177/0162243906287547

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.