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Researchers' roles in knowledge co-production: experience from sustainability research in Kenya, Switzerland, Bolivia and Nepal
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Co-production of knowledge between academic and non-academic communities is a prerequisite for research aiming at more sustainable development paths. Sustainability researchers face three challenges in such co-production: (a) addressing power relations; (b) interrelating different perspectives on the issues at stake; and (c) promoting a previously negotiated orientation towards sustainable development. A systematic comparison of four sustainability research projects in Kenya (vulnerability to drought), Switzerland (soil protection), Bolivia and Nepal (conservation vs. development) shows how the researchers intuitively adopted three different roles to face these challenges: the roles of reflective scientist, intermediary, and facilitator of a joint learning process. From this systematized and iterative self-reflection on the roles that a researcher can assume in the indeterminate social space where knowledge is co-produced, we draw conclusions regarding training.
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“Although very challenging, co-production of knowledge between academic and non-academic communities is an essential prerequisite for research aiming at more sustainable development (Pohl etal. 2010).”
From Designing agroecological systems across scales: a new analytical framework (2022) · cites this paper as Pohl et al. 2010
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Metadata
- Authors
- Pohl, C., Rist, S., Zimmermann, A., Fry, P., Gurung, G. S., Schneider, F., Speranza, C. I., Kiteme, B., Boillat, S., Serrano, E., Hadorn, G. H., & Wiesmann, U.
- Affiliations
- ETH Zurich (CH)
- University of Bern (CH)
- WWF Nepal (NP)
- German Institute of Development and Sustainability (DE)
- Centre for Training and Integrated Research In ASAL Development (KE)
- Corresponding author
- Pohl, Christian
- Rist, Stephan
- Zimmermann, Anne
- Fry, Patricia
- Gurung, Ghana S
- Schneider, Flurina
- Speranza, Chinwe Ifejika
- Kiteme, Boniface
- Serrano, Elvira
- Hadorn, Gertrude Hirsch
- Wiesmann, Urs
- ORCID
- Venue
- Science and Public Policy
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-05-01
- Volume
- 37
- Issue
- 4
- Pages
- 267-281
- ISSN
- 0302-3427 (ISSN-L)
- 1471-5430
- OpenAlex
- W2058744145
- Cited by
- 555
- References
- 66
- Citations by year
- 2026: 17 · 2025: 28 · 2024: 23 · 2023: 42 · 2022: 45 · 2021: 69 · 2020: 59 · 2019: 49 · 2018: 38 · 2017: 42 · 2016: 36 · 2015: 29 · 2014: 28 · 2013: 20 · 2012: 17
- FWCI
- 35.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Science and Public Policy (publishedVersion)
- reroDoc Digital Library (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- BORIS (University Library Bern) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, other-oa)
- ETH Zürich Research Collection
- Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Deutsches Institut für Entwicklungspolitik
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Interdisciplinary Research and Collaboration
- Social Sciences › General Social Sciences › Social Science and Policy Research
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Research, Science, and Academia
- Keywords
- knowledge co-production, researcher role, sustainability research, power relations, intermediary role, facilitator role, joint learning, drought vulnerability, soil conservation, conservation versus development, research training, sustainable development
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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