Ideals, practices, and future prospects of stakeholder involvement in sustainability science

Mielke, Jahel; Vermaßen, Hannah; Ellenbeck, Saskia

doi:10.1073/pnas.1706085114

Cited by 43 publications

(29 citation statements)

References 54 publications

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“…On the one hand, it would be desirable to organize this at the global level, as most of the relevant mean sea level studies are global in scope. On the other hand, whether expert judgment is perceived to be authoritative by decision makers is often determined by national authority, and face‐to‐face interactions and the development of mutual trust between experts and users (Brandt et al, ; Mielke et al, ; Reed, ). For example, the current provisioning of SLR scenarios is generally organized nationally or even more locally in the case of big cities such as London, New York, and Tokyo, which have the resources and expertise to run their own expert processes (Le Cozannet, Nicholls, et al, ).…”

Section: Discussionmentioning

confidence: 99%

Meeting User Needs for Sea Level Rise Information: A Decision Analysis Perspective

et al. 2019

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Despite widespread efforts to implement climate services, there is almost no literature that systematically analyzes users' needs. This paper addresses this gap by applying a decision analysis perspective to identify what kind of mean sea level rise (SLR) information is needed for local coastal adaptation decisions. We first characterize these decisions, then identify suitable decision analysis approaches and the sea level information required, and finally discuss if and how these information needs can be met given the state of the art of sea level science. We find that four types of information are needed: (i) probabilistic predictions for short‐term decisions when users are uncertainty tolerant; (ii) high‐end and low‐end SLR scenarios chosen for different levels of uncertainty tolerance; (iii) upper bounds of SLR for users with a low uncertainty tolerance; and (iv) learning scenarios derived from estimating what knowledge will plausibly emerge about SLR over time. Probabilistic predictions can only be attained for the near term (i.e., 2030–2050) before SLR significantly diverges between low and high emission scenarios, for locations for which modes of climate variability are well understood and the vertical land movement contribution to local sea levels is small. Meaningful SLR upper bounds cannot be defined unambiguously from a physical perspective. Low‐ to high‐end scenarios for different levels of uncertainty tolerance and learning scenarios can be produced, but this involves both expert and user judgments. The decision analysis procedure elaborated here can be applied to other types of climate information that are required for mitigation and adaptation purposes.

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Section: Discussionmentioning

confidence: 99%

Meeting User Needs for Sea Level Rise Information: A Decision Analysis Perspective

et al. 2019

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“…Studies focusing on stakeholder inclusion in health research, have often been from the perspective of the researchers. Factors such as the difficulty of finding stakeholders with the right skills and knowledge who are interested and available to participate or the difficulty of dedicating time to stakeholder engagement in a context where it isn’t measured and may not be valued [39, 40], have been the focus rather than the perspective of the stakeholders and their motivations for becoming involved. The case studies reported here provide insight into the motivations from the stakeholder perspective.…”

Section: Discussionmentioning

confidence: 99%

Decision makers’ experience of participatory dynamic simulation modelling: methods for public health policy

Freebairn

Atkinson

Kelly

et al. 2018

BMC Med Inform Decis Mak

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BackgroundSystems science methods such as dynamic simulation modelling are well suited to address questions about public health policy as they consider the complexity, context and dynamic nature of system-wide behaviours. Advances in technology have led to increased accessibility and interest in systems methods to address complex health policy issues. However, the involvement of policy decision makers in health-related simulation model development has been lacking. Where end-users have been included, there has been limited examination of their experience of the participatory modelling process and their views about the utility of the findings. This paper reports the experience of end-user decision makers, including senior public health policy makers and health service providers, who participated in three participatory simulation modelling for health policy case studies (alcohol related harm, childhood obesity prevention, diabetes in pregnancy), and their perceptions of the value and efficacy of this method in an applied health sector context.MethodsSemi-structured interviews were conducted with end-user participants from three participatory simulation modelling case studies in Australian real-world policy settings. Interviewees were employees of government agencies with jurisdiction over policy and program decisions and were purposively selected to include perspectives at different stages of model development.ResultsThe ‘co-production’ aspect of the participatory approach was highly valued. It was reported as an essential component of building understanding of the modelling process, and thus trust in the model and its outputs as a decision-support tool. The unique benefits of simulation modelling included its capacity to explore interactions of risk factors and combined interventions, and the impact of scaling up interventions. Participants also valued simulating new interventions prior to implementation in the real world, and the comprehensive mapping of evidence and its gaps to prioritise future research. The participatory aspect of simulation modelling was time and resource intensive and therefore most suited to high priority complex topics with contested options for intervening.ConclusionThese findings highlight the value of a participatory approach to dynamic simulation modelling to support its utility in applied health policy settings.Electronic supplementary materialThe online version of this article (10.1186/s12911-018-0707-6) contains supplementary material, which is available to authorized users.

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“…Since the data was collected from industry-expert stakeholders, the author acknowledges the challenges that go along with such an approach, ranging from the kind of knowledge produced in such stakeholder interactions to the science-policy-interface that is perceived and used differently by stakeholders and scientists. For a discussion of challenges of stakeholder involvement in science, see Mielke et al (2016Mielke et al ( , 2017 and for a specific discussion on close dialogue with industry stakeholders, see Clark (1998).…”

Section: Critical Reflection Of the Methodsmentioning

confidence: 99%

Signals for 2°C: the influence of policies, market factors and civil society actions on investment decisions for green infrastructure

Mielke

2018

Journal of Sustainable Finance & Investment

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The targets of the Paris Agreement make it necessary to redirect finance flows towards sustainable, low-carbon infrastructures and technologies. Currently, the potential of institutional investors to help finance this transition is widely discussed. Thus, this paper takes a closer look at influence factors for green investment decisions of large European insurance companies. With a mix of qualitative and quantitative methods, the importance of policy, market and civil society signals is evaluated. In summary, respondents favor measures that promote green investment, such as feed-in tariffs or adjustments of capital charges for green assets, over ones that make carbon-intensive investments less attractive, such as the phase-out of fossil fuel subsidies or a carbon price. While investors currently see a low impact of the carbon price, they rank a substantial reform as an important signal for the future. Respondents also emphasize that policy signals have to be coherent and credible to coordinate expectations.

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Ideals, practices, and future prospects of stakeholder involvement in sustainability science

Cited by 43 publications

References 54 publications

Meeting User Needs for Sea Level Rise Information: A Decision Analysis Perspective

Meeting User Needs for Sea Level Rise Information: A Decision Analysis Perspective

Decision makers’ experience of participatory dynamic simulation modelling: methods for public health policy

Signals for 2°C: the influence of policies, market factors and civil society actions on investment decisions for green infrastructure

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