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Countering the loading-dock approach to linking science and decision making - Comparative analysis of El Nino/Southern Oscillation (ENSO) forecasting systems

机译:反对将科学与决策联系起来的装卸码头方法-厄尔尼诺/南方涛动(ENSO)预测系统的比较分析

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摘要

This article provides a comparative institutional analysis between El Nino/ 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.
机译:本文提供了太平洋和南部非洲的厄尔尼诺/南方涛动(ENSO)预报系统之间的比较机构分析,重点是科学信息如何与决策过程相关联。在ENSO事件期间,基础设施和私有财产以及人类健康和福利面临数十亿美元的风险,预测系统已开始被多个级别的管理人员和公司所接受。研究表明,这样的系统需要自觉地支持知识的联合生产。此类联合制作的一个关键组成部分似乎是管理科学与政策之间以及跨学科,规模和知识的界限,以创建对多个受众有意义,可信和合法的信息。这项研究提出了在管理此类边界方面似乎有用的制度性机制,包括构造会议,翻译,协作和调解职能的机制。

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