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Contexualising the tool development process through a knowledge brokering approach: The case of climate change adaptation and agriculture
Institution:1. Department of Computer Science, University of Bari Aldo Moro, Italy;2. Department of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, Italy;3. BTO Research, Italy;1. Institute of Geology and Mineral Exploration, 1 Spirou Louis St., Olympic Village, 13677 Acharnae, Athens, Hellas;2. Federal Institute for Geosciences and Natural Resources, Stilleweg 2, 30655 Hannover, Germany;3. Dipartimento di Scienze della Terra, dell''Ambiente e delle Risorse, Università di Napoli Federico II, Naples, Italy;4. Rio Tinto, 2 Eastbourne Terrace, London, W2 6LG England, United Kingdom
Abstract:This article applies a ‘knowledge brokering’ approach to contextualise the development of an integrated computer modelling tool into the real world policy context of adaptation of agriculture to climate change at the EU level. In particular, the article tests a number of knowledge brokering strategies described and theorised in the literature, but seldom empirically tested. The article finds that while the policy context can be used to identify a theoretically informed knowledge brokering strategy, in practice a strategy's ‘success’ is more informed by practical considerations, such as whether the tool development process is knowledge or demand driven. In addition, in practice the knowledge brokering process is found to be dynamic and messy, which is not always apparent in the literature. The article goes on to question the perception that there is always a need (or a desire) to bridge the gap between researchers and policy makers in the tool development process. Rather than a problem of design and communication, the science policy interface may be characterised more by a high level of competition between researchers and research organisations to have their tool legitimised by its use in the policy making process.
Keywords:Knowledge brokering  Climate change  Landuse  Agriculture  Computer modelling
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