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Citation:
Cash, David W., Jonathan C. Borck, and Anthony G. Patt. 2006. Countering the Loading-Dock Approach to Linking Science and Decision Making: Comparative Analysis of El Niņo/Southern Oscillation (ENSO) Forecasting Systems. Science Technology Human Values, Jul 2006; 31: 465 - 494.
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Abstract:
This article provides a comparative institutional analysis between El Niņo/ 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.
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