59 resultados para Collective actors

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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Climate change mitigation policy is driven by scientific knowledge and involves actors from the international, national and local decision-making levels. This multi-level and cross-sectoral context requires collaborative management when designing mitigation solutions over time and space. But collaboration in general policymaking settings, and particularly in the complex domain of climate mitigation, is not an easy task. This paper addresses the question of what drives collaboration among collective actors involved in climate mitigation policy. We wish to investigate whether common beliefs or power structures influence collaboration among actors. We adopt a longitudinal approach to grasp differences between the early and more advanced stages of mitigation policy design. We use survey data to investigate actors’ collaboration, beliefs and power, and apply a Stochastic Actor-oriented Model for network dynamics to three subsequent networks in Swiss climate policy between 1995 and 2012. Results show that common beliefs among actors, as well as formal power structures, have a higher impact on collaboration relations than perceived power structures. Furthermore, those effects hold true for decision-making about initial mitigation strategies, but less so for the implementation of those measures.

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Energy shocks like the Fukushima accident can have important political consequences. This article examines their impact on collaboration patterns between collective actors in policy processes. It argues that external shocks create both behavioral uncertainty, meaning that actors do not know about other actors' preferences, and policy uncertainty on the choice and consequences of policy instruments. The context of uncertainty interacts with classical drivers of actor collaboration in policy processes. The analysis is based on a dataset comprising interview and survey data on political actors in two subsequent policy processes in Switzerland and Exponential Random Graph Models for network data. Results first show that under uncertainty, collaboration of actors in policy processes is less based on similar preferences than in stable contexts, but trust and knowledge of other actors are more important. Second, under uncertainty, scientific actors are not preferred collaboration partners.

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Bridging the gap between research and policy is of growing importance in international development. The National Centre of Competence in Research (NCCR) North-South has rich experience in collaborating beyond academic boundaries to make their research relevant to various societal actors. This publication is the first to provide an overview of the effectiveness of NCCR North-South researchers’ efforts to interact with policy, practice, and local communities with a view to effecting a change in practices. A systematic assessment of researchers’ interactions with non-academic partners is presented, based on principles of monitoring and evaluation. On this basis, tools for collective learning and widespread adaptation are proposed. The report shows with what types of societal actors NCCR North-South researchers collaborate and analyses examples of how researchers conduct dialogue beyond academic boundaries, leading to specific outcomes. It also explains the frame conditions considered decisive for successful and sustainable policy dialogue and concludes with recommendations about how the NCCR North-South can increase the effectiveness of its research for development. The publication is a valuable source of inspiration for those interested in better understanding how to generate the multiple benefits of making science relevant to society.

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Inflammation plays a key role in acute coronary syndromes (ACS). Toll-like receptors (TLR) on leucocytes mediate inflammation and immune responses. We characterized leucocytes and TLR expression within coronary thrombi and compared cytokine levels from the site of coronary occlusion with aortic blood (AB) in ACS patients.