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Policy Position Paper: Advancing Gender Equality in Energy Transition and Deep Tech Research & Innovation
This policy position paper is based on the discussions held during the Joint Conference on 22 October 2024, organized by the Horizon Europe gEneSys and NET4Air projects. The conference highlighted the importance of integrating gender equality and the gender dimension in the research and innovation (R&I) processes related to energy transition and advanced technological innovations (deep tech). Despite the distinct focuses of the two projects—gEneSys on social and gender inequalities in energy transition and NET4Air on air pollution monitoring using deep tech—common ground was found in their shared commitment to ensuring that public investment in innovation contributes to both technological progress and social sustainability. This paper outlines key recommendations for policy actions to address these challenges, foster innovation, and meet the European Union’s gender equality and sustainability goals.
- National Institute for Research and Development in Microtechnologies Romania
- Portia United Kingdom
- University College Cork Ireland
- University of Ghana Ghana
- Fraunhofer Institute for Industrial Engineering Germany
Gender equality, research and innovation, deep tech, Energy Transition
Gender equality, research and innovation, deep tech, Energy Transition
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
