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Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn

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dc.contributor.author Roux, Dirk J
dc.contributor.author Nel, Jeanne L
dc.contributor.author Cundill, Georgina
dc.contributor.author O'Farrell, Patrick J
dc.contributor.author Fabricius, Christo
dc.date.accessioned 2018-08-20T06:48:22Z
dc.date.available 2018-08-20T06:48:22Z
dc.date.issued 2017-09
dc.identifier.citation Roux, DJ, Nel, JL, Cundill, G, O'Farrell, PJ and Fabricius, C. 2017. Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn. Sustainability Science, vol. 12(5): 711-726. en_US
dc.identifier.issn 1862-4065
dc.identifier.issn 1862-4057
dc.identifier.uri https://link.springer.com/article/10.1007/s11625-017-0446-0
dc.identifier.uri http://hdl.handle.net/10204/10372
dc.description Copyright: 2017 Springer Verlag. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract A key aim of transdisciplinary research is for actors from science, policy and practice to co-evolve their understanding of a social–ecological issue, reconcile their diverse perspectives and co-produce appropriate knowledge to serve a common purpose. With its concurrent grounding in practice and science, transdisciplinary research represents a significant departure from conventional research. We focus on mutual learning within transdisciplinary research and highlight three aspects that could guide other researchers in designing and facilitating such learning. These are: “who to learn with”, “what to learn about” and “how to learn”. For each of these questions, we present learning heuristics that are supported by a comparative analysis of two case studies that addressed contemporary conservation issues in South Africa but varied in scale and duration. These were a five-year national-scale project focusing on the prioritisation of freshwater ecosystems for conservation and a three-year local-scale project that used ecological infrastructure as a theme for advancing sustainability dialogues. Regarding the proposed learning heuristics, “who to learn with” is scale dependent and needs to be informed by relevant disciplines and policy sectors with the aim of establishing a knowledge network representing empirical, pragmatic, normative and purposive functions. This emergent network should be enriched by involving relevant experts, novices and bridging agents, where possible. It is important for such networks to learn about the respective histories, system processes and drivers, values and knowledge that exist in the social–ecological system of interest. Moreover, learning together about key concepts and issues can help to develop a shared vocabulary, which in turn can contribute to a shared understanding, a common vision and an agreed way of responding to it. New ways of group learning can be promoted and enhanced by co-developing outputs (boundary objects) for application across knowledge domains and creating spaces (third places) that facilitate exchange of knowledge and knowledge co-production. We conclude with five generic lessons for transdisciplinary researchers to enhance project success: (a) the duration, timing and continuation potential of a project influences its prospects for achieving systemic and sustainable change; (b) bridging agents, especially if embedded within an implementing agency, play a critical role in facilitating transdisciplinary learning with enhanced outcomes; (c) researchers need to participate as co-learners rather than masters of knowledge domains; (d) purposeful mixed-paradigm research designs could help to mend knowledge fragmentation within science; and (e) researchers must be vigilant for three pitfalls in mutual learning initiatives, namely biases in participant self-selection, perceived superiority of scientific knowledge and the attraction of simple solutions to wicked problems that retain the status quo. en_US
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartofseries Worklist;20302
dc.subject Boundary objects en_US
dc.subject Bridging agent en_US
dc.subject Engaged science en_US
dc.subject Learning heuristics en_US
dc.subject Transdisciplinary learning framework en_US
dc.title Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn en_US
dc.type Article en_US
dc.identifier.apacitation Roux, D. J., Nel, J. L., Cundill, G., O'Farrell, P. J., & Fabricius, C. (2017). Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn. http://hdl.handle.net/10204/10372 en_ZA
dc.identifier.chicagocitation Roux, Dirk J, Jeanne L Nel, Georgina Cundill, Patrick J O'Farrell, and Christo Fabricius "Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn." (2017) http://hdl.handle.net/10204/10372 en_ZA
dc.identifier.vancouvercitation Roux DJ, Nel JL, Cundill G, O'Farrell PJ, Fabricius C. Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn. 2017; http://hdl.handle.net/10204/10372. en_ZA
dc.identifier.ris TY - Article AU - Roux, Dirk J AU - Nel, Jeanne L AU - Cundill, Georgina AU - O'Farrell, Patrick J AU - Fabricius, Christo AB - A key aim of transdisciplinary research is for actors from science, policy and practice to co-evolve their understanding of a social–ecological issue, reconcile their diverse perspectives and co-produce appropriate knowledge to serve a common purpose. With its concurrent grounding in practice and science, transdisciplinary research represents a significant departure from conventional research. We focus on mutual learning within transdisciplinary research and highlight three aspects that could guide other researchers in designing and facilitating such learning. These are: “who to learn with”, “what to learn about” and “how to learn”. For each of these questions, we present learning heuristics that are supported by a comparative analysis of two case studies that addressed contemporary conservation issues in South Africa but varied in scale and duration. These were a five-year national-scale project focusing on the prioritisation of freshwater ecosystems for conservation and a three-year local-scale project that used ecological infrastructure as a theme for advancing sustainability dialogues. Regarding the proposed learning heuristics, “who to learn with” is scale dependent and needs to be informed by relevant disciplines and policy sectors with the aim of establishing a knowledge network representing empirical, pragmatic, normative and purposive functions. This emergent network should be enriched by involving relevant experts, novices and bridging agents, where possible. It is important for such networks to learn about the respective histories, system processes and drivers, values and knowledge that exist in the social–ecological system of interest. Moreover, learning together about key concepts and issues can help to develop a shared vocabulary, which in turn can contribute to a shared understanding, a common vision and an agreed way of responding to it. New ways of group learning can be promoted and enhanced by co-developing outputs (boundary objects) for application across knowledge domains and creating spaces (third places) that facilitate exchange of knowledge and knowledge co-production. We conclude with five generic lessons for transdisciplinary researchers to enhance project success: (a) the duration, timing and continuation potential of a project influences its prospects for achieving systemic and sustainable change; (b) bridging agents, especially if embedded within an implementing agency, play a critical role in facilitating transdisciplinary learning with enhanced outcomes; (c) researchers need to participate as co-learners rather than masters of knowledge domains; (d) purposeful mixed-paradigm research designs could help to mend knowledge fragmentation within science; and (e) researchers must be vigilant for three pitfalls in mutual learning initiatives, namely biases in participant self-selection, perceived superiority of scientific knowledge and the attraction of simple solutions to wicked problems that retain the status quo. DA - 2017-09 DB - ResearchSpace DP - CSIR KW - Boundary objects KW - Bridging agent KW - Engaged science KW - Learning heuristics KW - Transdisciplinary learning framework LK - https://researchspace.csir.co.za PY - 2017 SM - 1862-4065 SM - 1862-4057 T1 - Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn TI - Transdisciplinary research for systemic change: who to learn with, what to learn about and how to learn UR - http://hdl.handle.net/10204/10372 ER - en_ZA


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