As part of the €3m Horizon Europe project representing the cross-European Centre of Research Excellence for Climate-Energy-Mobility Social Sciences & Humanities, known as SSH CENTER, a team of researchers from DVRC is contributing to an interdisciplinary book chapter.
The De Vinci Research Center group, consisting of Pascal Clain, Insaf Khelladi, Guillaume Guerard, Saeedeh Rezaee Vessal, Alessandro Biancalani, and Petronela-Valeria Pankovits, is at the forefront of this endeavor.
Funding and focus: DVRC’s contribution to EU’s Green Deal Policy Recommendations
The DVRC team received funding (up to €7,500) to participate in a project with 29 other interdisciplinary teams.
The project aims to provide policy recommendations for the EU’s Green Deal and its challenges on climate, energy, and mobility.
The DVRC interdisciplinary team produces a collaborative book chapter exploring the public and social acceptability of contentious low-carbon energy technologies in the last decade: nuclear fusion, agrivoltaics and offshore wind turbines.
Navigating public acceptance: Bridging the legitimacy gap in industrial technologies
The public’s acceptance of new industrial technologies affects their market success. These technologies often clash with social norms and practices, creating a legitimacy gap.
Poor public engagement and deliberation can hinder or delay the adoption of new technologies at national (e.g. GM agriculture) or local (e.g. renewable energy) levels.
Therefore, public involvement in technological innovation is important to understand their attitudes and backgrounds.
The interdisciplinary collaborative book chapter aims to formulate recommendations that will be shared with policy officers who manage relevant EU Green Deal policy portfolios.
Sizing up technology acceptance: A look at nuclear fusion, agrivoltaics, and offshore wind turbines in France for EU Green Deal Policy insight
Our chapter examines the social acceptability of nuclear fusion, agrivoltaics and offshore wind turbines in France and comprehends :
A framework based on the literature on technology legitimacy and social acceptability to understand the acceptability dynamics of these technologies.
Natural language processing (NLP) methods to perform topic models and sentiment analysis on public discourses.
Furthermore, we will contrast the results with studies from other EU countries and formulate policy recommendations relevant to the EU Green Deal.
This book chapter, along with the other branches, will some recommendations that can inspire more research/engagement or trigger significant conversations that need to take place.
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