2017
DOI: 10.1038/nclimate3392
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Membership nominations in international scientific assessments

Abstract: International scientific assessments are transnational knowledge-based expert networks with a mandate to advise policymakers. A well-known example is the Millennium Ecosystem Assessment (MA), which synthesized research on ecosystem services between 2001 and 2005, utilizing the knowledge of 1,360 expert members. Little, however, is known about the membership composition and the driving forces behind membership nominations in the MA and similar organizations. Here we introduce a survey dataset on recruitment in … Show more

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Cited by 10 publications
(5 citation statements)
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“…At the same time, there should be sufficient cohesion around goals to hold the network together. Studies on climate change networks show how similarities between actors can produce insular dynamics shaped by central people, institutions, and ideologies (Corbera et al 2016; Jasny, Waggle, and Fisher 2015; Leifeld and Fisher 2017). These similarities tend to reduce friction; however, networks that lack diverse viewpoints may encounter reduced trust by those at peripheries.…”
Section: Methodsmentioning
confidence: 99%
“…At the same time, there should be sufficient cohesion around goals to hold the network together. Studies on climate change networks show how similarities between actors can produce insular dynamics shaped by central people, institutions, and ideologies (Corbera et al 2016; Jasny, Waggle, and Fisher 2015; Leifeld and Fisher 2017). These similarities tend to reduce friction; however, networks that lack diverse viewpoints may encounter reduced trust by those at peripheries.…”
Section: Methodsmentioning
confidence: 99%
“…To model the transnational human trafficking network, we use the exponential random graph model (ERGM), which has been used to study a wide range of phenomena in international relations (e.g., Cranmer, Heinrich and Desmarais 2014; Leifeld and Fisher 2017;Windzio 2018;Thurner et al 2019), including human trafficking (Goist, Chen and Boylan 2019). The ERGM is a statistical model that allows for inference on tie formation in relational systems (i.e., a network).…”
Section: Statistical Modeling For Networkmentioning
confidence: 99%
“…The boundaries that these bridging ties cross can be disciplinary, scalar (Andersson et al, 2014;Hamilton & Lubell, 2018), geographic (Fischer & Jasny, 2017), or financial (Barendse, Roux, Currie, Wilson, & Fabricius, 2016), among others. Boundary organizations might be formally created to be so, as is the case of the IPCC and other international scientific assessments (Hoppe, Wesselink, & Cairns, 2013; see also Leifeld & Fisher, 2017), or may come to this position as a result of network dynamics and mechanics (Ernstson et al, 2010). While most of the literature is still overwhelmingly positive about the role of brokers in this area, a few studies have highlighted the additional amount of time, work, and resources demanded by these roles, as well as other negative results like decreased trust among those who occupy these positions (M. Stovel & Shaw, 2012).…”
Section: Network and Environmental Governancementioning
confidence: 99%