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Challenges of linking scientific knowledge to river basin management policy: AquaTerra as a case study
The EU Project AquaTerra generates knowledge about the river-soil-sediment-groundwater system and delivers scientific information of value for river basin management. In this article, the use and ignorance of scientific knowledge in decision making is explored by a theoretical review. We elaborate on the 'two-communities theory', which explains the problems of the policy-science interface by relating and comparing the different cultures, contexts, and languages of researchers and policy makers. Within AquaTerra, the EUPOL subproject examines the policy-science interface with the aim of achieving a good connection between the scientific output of the project and EU policies. We have found two major barriers, namely language and resources, as well as two types of relevant relationships: those between different research communities and those between researchers and policy makers. © 2007 Elsevier Ltd. All rights reserved.
- Delft University of Technology Netherlands
knowledge, basin management, Science, river, River basin projects, resource allocation, decision making, ground water, soil, Sediments, Policy makers, Project management, water management, policy making, European Union, cultural anthropology, Groundwater, River basin management, water pollution, language, environmental planning, article, land use, Policy, Two-communities theory, climate change, sediment, Soils, Use of knowledge, Decision making, river basin, policy
knowledge, basin management, Science, river, River basin projects, resource allocation, decision making, ground water, soil, Sediments, Policy makers, Project management, water management, policy making, European Union, cultural anthropology, Groundwater, River basin management, water pollution, language, environmental planning, article, land use, Policy, Two-communities theory, climate change, sediment, Soils, Use of knowledge, Decision making, river basin, policy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
