The Normative Dimension in Transdisciplinarity, Transition Management, and Transformation Sciences: New Roles of Science and Universities in Sustainable Transitioning
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This paper discusses the role normative aspects play in different approaches of science–practice collaboration, in particular as action research, (Mode 2) Transdisciplinarity (Td), Transition Management (TM), and Transformative Science (TSc). We elaborate on the different roles that scientists in these processes play. They work as facilitators (or contribute to a facilitated Td process), as activists (i.e., activist researchers) in TM projects, and as catalysts in TSc. Td processes develop socially robust solutions for sustainable transitioning and impacts on the science system through mutual learning and by integrating epistemics (i.e., ways of knowing) from science and practice and focusing on the empowerment of stakeholders. Science is viewed as a public good aiming to serve all key stakeholders. Researchers involved in TM projects strive to influence ongoing transition processes by actively engaging and participating in them, including lobbying for and empowering transformative changes toward sustainability based upon the researchers’ own analyses and world views. The TSc approach takes a catalyst perspective of the scientist’s role in inducing processes of strategic (societal) transition when including certain stakeholder groups. The paper focuses on what roles normative aspects play in the different approaches and new societal demands imposed on science and universities. Based on this, we conclude that a new order of universities, public knowledge institutions, and boundary institutions is forthcoming.
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In any sustainability research, there is a normative component.
“Thus, in any sustainability research, there is a normative component (Scholz 2017).”
From Transdisciplinarity: science for and with society in light of the university’s roles and functions (2020) · cites this paper as Scholz 2017
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Cited by
Sorted by citations
Transdisciplinarity: science for and with society in light of the university’s roles and functions
Scholz, R. W. (2020) · Sustainability Science · doi:10.1007/s11625-020-00794-x · Cited by 105 · see citing works
Self-citationInteractive Knowledge Co-Production and Integration for Healthy Urban Development
Shrestha, R., Köckler, H., Flacke, J., Martinez, J., & Van Maarseveen, M. (2017) · Sustainability · doi:10.3390/su9111945 · Cited by 31 · see citing works
- Authors
- Scholz, R.
- Affiliations
- Universität für Weiterbildung Krems (AT)
- Corresponding author
- Scholz, Roland
- ORCID
- Scholz, Roland
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2017-06-09
- Volume
- 9
- Issue
- 6
- Pages
- 991
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W2622569585
- Cited by
- 117
- References
- 110
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 10 · 2023: 21 · 2022: 9 · 2021: 20 · 2020: 9 · 2019: 11 · 2018: 18 · 2017: 3
- FWCI
- 18.03
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- ETH Zürich Research Collection (cc-by)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Interdisciplinary Research and Collaboration
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
- Keywords
- normativity, transdisciplinarity, transition management, transformative science, science-practice collaboration, role of scientists, sustainability transitions, stakeholder empowerment, mutual learning, universities, Mode 2 knowledge production
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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