From consultation toward co-production in science and policy: A critical systematic review of participatory climate and energy initiatives

Galende-Sanchez, Ester; Şorman, Alevgül H.

doi:10.1016/j.erss.2020.101907

Cited by 60 publications

(18 citation statements)

References 103 publications

(151 reference statements)

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“…[52]. When stakeholders actively participate in the knowledge-acquiring or decision-making process, they are prone to increase effectiveness and reduce conflicts by taking ownership of outcomes [53]. Thus, in addition to access individuals' tacit knowledge, citizen participation in innovation, whether through user-led or community-based initiatives, has a positive network effect on innovation diffusion [54,55].…”

Section: Non-producer Innovationmentioning

confidence: 99%

Open and collaborative innovation for the energy transition: An exploratory study

Dall-Orsoletta

Romero

Ferreira

2022

Technology in Society

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Section: Non-producer Innovationmentioning

confidence: 99%

Open and collaborative innovation for the energy transition: An exploratory study

Dall-Orsoletta

Romero

Ferreira

2022

Technology in Society

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“…It should be borne in mind that, in terms of social structure, these are often better-off individuals ("elite clubs"; see Radtke and Ohlhorst 2021), and that for low-income individuals financial savings and not financial gains or environmental motivations are the main driver to participate [49]. Accordingly, a more critical perspective of community energy, which also emphasizes the negative aspects and inequalities, has emerged [50][51][52].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Does Energy Community Membership Change Sustainable Attitudes and Behavioral Patterns? Empirical Evidence from Community Wind Energy in Germany

2022

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Community energy is seen as a helping hand for local, decentralized energy transition. Besides the main goal of supporting the community-friendly and socially acceptable development of renewable energies, the hope is also that a pro-environmental influence on sustainability behavior will be triggered when joining a community energy project. An analysis of a survey among 16 community energy projects in Germany, with 565 completed questionnaires, shows that a certain part of the members pays more attention to their energy behavior and develop a more positive attitude towards a decentralized energy transition and citizen participation after joining the community energy project. Therefore, we can empirically support that climate protection projects, such as community energy, influence pro-environmental attitudes and behavior, but this does not apply equally to all population groups. Members with higher income and stronger interest in returns are less likely to change their behavior. Based on these findings, we recommend the development of community energy policies that are more responsive to differences in social structure and address both privileged and underprivileged groups in a sophisticated way using specific offers and modes of involvement within the associations.

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“…More specifically, in climate change science and policy, there are increasing calls for 'unboxing' the 'black box' of the complex and diverse [62] quantitative systems modelling activities [63], which are predominantly used to inform decisions [64], and for opening them to non-experts [65]. This entails making science comprehensible and digestible [66], which goes beyond developing open-source tools [67] and instead aims to promote science co-production [68], inclusivity [69], and pluralism [70].…”

Section: A Brief Literature Overviewmentioning

confidence: 99%

AI and Data Democratisation for Intelligent Energy Management

et al. 2021

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Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout of Artificial Intelligence (AI) services in the near-term. However, things have started to change, owing to the increased adoption of data democratisation processes, and the capability offered by emerging technologies for data sharing while respecting privacy, protection, and security, as well as appropriate learning-based modelling capabilities for non-expert end-users. This is particularly evident in the energy sector. In this context, the aim of this paper is to analyse AI and data democratisation, in order to explore the strengths and challenges in terms of data access problems and data sharing, algorithmic bias, AI transparency, privacy and other regulatory constraints for AI-based decisions, as well as novel applications in different domains, giving particular emphasis on the energy sector. A data democratisation framework for intelligent energy management is presented. In doing so, it highlights the need for the democratisation of data and analytics in the energy sector, toward making data available for the right people at the right time, allowing them to make the right decisions, and eventually facilitating the adoption of decentralised, decarbonised, and democratised energy business models.

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From consultation toward co-production in science and policy: A critical systematic review of participatory climate and energy initiatives

Cited by 60 publications

References 103 publications

Open and collaborative innovation for the energy transition: An exploratory study

Open and collaborative innovation for the energy transition: An exploratory study

Does Energy Community Membership Change Sustainable Attitudes and Behavioral Patterns? Empirical Evidence from Community Wind Energy in Germany

AI and Data Democratisation for Intelligent Energy Management

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