“…A basic assumption of this model is that through the generation of scientific knowledge, the uncertainty about the problem under consideration is reduced, and information becomes available that can be used as a basis for political decision-making, for the justification of decisions taken and for the fine-tuning and implementation of decisions (Wettestad and Andresen, 1990). Several alternative models for generating and applying scientific knowledge in environmental policy and management have been proposed, requiring amongst others, broadening the range of scientific disciplines, involving stakeholders and making scientific advice more salient, credible and legitimate (Collingridge and Reeve, 1986;Brooks, 1987;Nowotny, 1987;Jasanoff, 1990;Funtowicz and Ravetz, 1993;Funtowicz et al, 2000;Collins and Evans, 2002;Cash et al, 2003;Nowotny, 2005;Lentsch and Weingart, 2012). Central in most of these alternative models is the bridging of the gap between the scientific and political realms through translation, integration, selection, aggregation, evaluation, assessment and transfer of scientific knowledge, often taking place within specific structures at the interface of the scientific and policy communities.…”