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Ewa Dönitz

Biographic Data

ID5773395
NAMEEwa Dönitz
GIVEN NAMESEwa
FAMILY NAMEDönitz
SIGNATUREDÖNITZ E
AFFILIATIONSFraunhofer Institute for Systems and Innovation Research
ORCID0000-0002-6255-7141
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Understanding the future and evolution of agri-food systems

    Open Access•Mostafa Shaaban, Ariane Voglhuber-Slavinsky et al.•ARTICLE•Futures•2023•Cited by: 1•References: 38

    The agri-food system is a vital and complex social-ecological system characterized by interactions between humans and the environment. For such systems, qualitative scenarios (QS) can generate pictures of possible futures, which combined with quantitative modelling allow identifying pathways towards improved resilience and exploring system uncertainties. However, the interpretation of qualitative narratives into quantitative simulation parameters…

  • Transitions for ship propulsion to 2050

    Open Access•Jonathan Köhler, Ewa Dönitz et al.•ARTICLE•Marine Policy•2022

  • Setting life cycle assessment (LCA) in a future-oriented context

    Open Access•Ariane Voglhuber-Slavinsky, Alberto Zicari et al.•ARTICLE•European Journal of Futures…•2022•References: 9

    By combining qualitative scenarios and life cycle assessment (LCA), we place the latter in a larger context. This study outlines the importance of the integration of future perspectives into LCA, and also the significance of taking changes in the environment of technology into account, rather than just technological development itself. Accordingly, we focused on adapting the background system of an attributional LCA in the agri-food sector. The p…

  • Understanding the future and evolution of agri-food systems

    Open Access•Mostafa Shaaban, Ariane Voglhuber-Slavinsky et al.•ARTICLE•Futures•2023•Cited by: 1•References: 38

    The agri-food system is a vital and complex social-ecological system characterized by interactions between humans and the environment. For such systems, qualitative scenarios (QS) can generate pictures of possible futures, which combined with quantitative modelling allow identifying pathways towards improved resilience and exploring system uncertainties. However, the interpretation of qualitative narratives into quantitative simulation parameters…

  • Transitions for ship propulsion to 2050

    Open Access•Jonathan Köhler, Ewa Dönitz et al.•ARTICLE•Marine Policy•2022

  • Setting life cycle assessment (LCA) in a future-oriented context

    Open Access•Ariane Voglhuber-Slavinsky, Alberto Zicari et al.•ARTICLE•European Journal of Futures…•2022•References: 9

    By combining qualitative scenarios and life cycle assessment (LCA), we place the latter in a larger context. This study outlines the importance of the integration of future perspectives into LCA, and also the significance of taking changes in the environment of technology into account, rather than just technological development itself. Accordingly, we focused on adapting the background system of an attributional LCA in the agri-food sector. The p…

  • Understanding the future and evolution of agri-food systems

    Open Access•Mostafa Shaaban, Ariane Voglhuber-Slavinsky et al.•ARTICLE•Futures•2023•Cited by: 1•References: 38

    The agri-food system is a vital and complex social-ecological system characterized by interactions between humans and the environment. For such systems, qualitative scenarios (QS) can generate pictures of possible futures, which combined with quantitative modelling allow identifying pathways towards improved resilience and exploring system uncertainties. However, the interpretation of qualitative narratives into quantitative simulation parameters…

Business (3 works) · Computer Science (3 works) · Engineering (3 works) · Economics (2 works) · Emerging technologies (2 works) · Risk analysis (engineering (2 works) · Agricultural Innovations and Practices (1 works) · Agriculture (1 works) · Agriculture Sustainability and Environmental Impact (1 works) · Agriculture, Land Use, Rural Development (1 works)

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