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. 2023;10(1):280.
doi: 10.1057/s41599-023-01789-6. Epub 2023 Jun 3.

Wicked problems in a post-truth political economy: a dilemma for knowledge translation

Affiliations

Wicked problems in a post-truth political economy: a dilemma for knowledge translation

Matthew Tieu et al. Humanit Soc Sci Commun. 2023.

Abstract

The discipline of knowledge translation (KT) emerged as a way of systematically understanding and addressing the challenges of applying health and medical research in practice. In light of ongoing and emerging critique of KT from the medical humanities and social sciences disciplines, KT researchers have become increasingly aware of the complexity of the translational process, particularly the significance of culture, tradition and values in how scientific evidence is understood and received, and thus increasingly receptive to pluralistic notions of knowledge. Hence, there is now an emerging view of KT as a highly complex, dynamic, and integrated sociological phenomenon, which neither assumes nor creates knowledge hierarchies and neither prescribes nor privileges scientific evidence. Such a view, however, does not guarantee that scientific evidence will be applied in practice and thus poses a significant dilemma for KT regarding its status as a scientific and practice-oriented discipline, particularly within the current sociopolitical climate. Therefore, in response to the ongoing and emerging critique of KT, we argue that KT must provide scope for relevant scientific evidence to occupy an appropriate position of epistemic primacy in public discourse. Such a view is not intended to uphold the privileged status of science nor affirm the "scientific logos" per se. It is proffered as a counterbalance to powerful social, cultural, political and market forces that are able to challenge scientific evidence and promote disinformation to the detriment of democratic outcomes and the public good.

Keywords: Complex networks; Philosophy; Science, technology and society.

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Conflict of interest statement

Competing interestsThe authors declare no competing interests.

Figures

Fig. 1
Fig. 1. The KT Complexity Network Model (Kitson et al., , p. 234).
This figure is covered by the Creative Commons Attribution 4.0 International License. Reproduced with permission of IJHPM; copyright © IJHPM, all rights reserved. The IJHPM supports the Open Access initiative and the authors retain the copyright without restrictions. Abstracts and full texts (PDF format) of all articles published by the IJHPM are freely accessible to everyone immediately upon publication. Reusing and publishing IJHPM published articles (main text, tables, and figures) is permitted by following Creative Commons user license: https://creativecommons.org/licenses/by/4.0/. Users are free to copy and redistribute the IJHPM published articles in any medium or format under the Creative commons license terms and conditions, but need to provide the appropriate bibliographic citation of the IJHPM published articles in their works. https://www.ijhpm.com/journal/process?ethics.

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