KNOWLEDGE MANAGEMENT IN SCIENCE-POLICY PROCESS

摘要

Environmental policies often strongly depend on environmental monitoring data, yet these increasing datasets are not always used effectively in enacting and implementing public policy. We propose a science-policy process to define the conditions that facilitate the use of scientific data for a policy. One of the most complex challenges that scientists and policy makers are facing in is that it involves knowledge management among a wide range of disciplines and actors. So a relationship between scientists and policy makers enables to translate scientific knowledge into policy-relevant scientific knowledge useful for policies. In the process, there are mainly two different types of gaps between scientific knowledge and policy-relevant scientific knowledge: direction-gap and distance-gap. Direction-gap is the situation which policy makers' requests are not clear and policy makers are not satisfied with the scientists' answers. The Distance-gap is the situation which scientists' answers are too difficult to understand for policy makers. In this paper, we focus on direction gap and suggest how scientists can be successful in bringing their knowledge and new technology to develop applications for environmental policies. We applied five attributes of "diffusion of innovation" to translating knowledge and new technology, which are: relative advantage, compatibility, complexity, trialability and observability. As a concrete example, we give suggestions to answer these five attributes in the field of remote sensing technology.