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The Potential of Transdisciplinarity
Abstract
A transformation is occurring in the relationship of science and society. A new mode of knowledge production is at the heart of this transformation. Much of the thrust of innovation is coming from new links between traditionally segmented producers and users of knowledge. Contextualization of research around the interests of stakeholders fosters a more “socially robust” knowledge that transgresses disciplinary and institutional boundaries. The ancient Greek agora is a model for a new transdisciplinary forum. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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“The participating stakeholders' learning and the development of socially robust orientations (Gibbons and Nowotny 2001) have been in the foreground.”
From Transdisciplinarity: science for and with society in light of the university’s roles and functions (2020) · cites this paper as Gibbons and Nowotny 2001
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Metadata
- Authors
- Gibbons, M., & Nowotny, H.
- Affiliations
- Association of Commonwealth Universities (GB)
- ETH Zurich (CH)
- Venue
- Transdisciplinarity: Joint Problem Solving among Science, Technology, and Society
- Publisher
- Birkhäuser Basel
- Published
- 2001
- Pages
- 67-80
- OpenAlex
- W129870078
- Cited by
- 250
- References
- 0
- Citations by year
- 2025: 6 · 2024: 9 · 2023: 7 · 2022: 10 · 2021: 16 · 2020: 14 · 2019: 12 · 2018: 10 · 2017: 9 · 2016: 5 · 2015: 14 · 2014: 15 · 2013: 12 · 2012: 13
- FWCI
- 30.13
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Birkhäuser Basel eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Interdisciplinary Research and Collaboration
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Research, Science, and Academia
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › University-Industry-Government Innovation Models
- Keywords
- transdisciplinarity, science and society, knowledge production, stakeholder engagement, interdisciplinary research, institutional boundaries
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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.
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