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Science, Technology & Human Values
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Countering the Loading-Dock Approach to Linking Science and Decision Making

Comparative Analysis of El Niño/Southern Oscillation (ENSO) Forecasting Systems

David W. Cash

Massachusetts Executive Office of Environmental Affairs

Jonathan C. Borck

John F. Kennedy School of Government

Anthony G. Patt

Boston University

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.

Key Words: science policy • boundary organization • coproduction • climate forecasting • institutions

Science, Technology & Human Values, Vol. 31, No. 4, 465-494 (2006)
DOI: 10.1177/0162243906287547
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?