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From indicators to indicating interdisciplinarity : a participatory mapping methodology for research communities in-the-making
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Marres, Noortje and de Rijcke, Sarah (2020) From indicators to indicating interdisciplinarity : a participatory mapping methodology for research communities in-the-making. Quantitative Science Studies, 1 (3). pp. 1041-1055. doi:10.1162/qss_a_00062 ISSN 2641-3337.
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WRAP-from-indicators-indicating-interdisciplinarity-participatory-mapping-methodology-research-communities-in-the-making-Marres-2020.pdf - Publisher's Proof Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (391Kb) | Preview |
Official URL: http://dx.doi.org/10.1162/qss_a_00062
Abstract
This article discusses a project under development called “Inventing Indicators of Interdisciplinarity,” as an example of work in methodology development that combines quantitative methods with interpretative approaches in social and cultural research. Key to our project is the idea that Science and Technology Indicators do not only have representative value, enabling empirical insight into fields of research and innovation, but simultaneously have organizing capacity, as their deployment enables the curation of communities of interpretation. We begin with a discussion of concepts and methods for the analysis of interdisciplinarity in Science and Technology Studies (STS) and scientometrics, stressing that both fields recognize that interdisciplinarity is contested. To make possible a constructive exploration of interdisciplinarity as a contested—and transformative—phenomenon, we sketch out a methodological framework for the development and deployment of “engaging indicators.” We characterize this methodology of indicating as participatory, abductive, interactive, and informed by design, and emphasize that the method is inherently combinatory, as it brings together approaches from scientometrics, STS, and humanities research. In a final section, we test the potential of our approach in a pilot study of interdisciplinarity in AI, and offer reflections on digital mapping as a pathway towards indicating interdisciplinarity.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BD Speculative Philosophy G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography Q Science > Q Science (General) T Technology > T Technology (General) |
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| Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | ||||||||
| Library of Congress Subject Headings (LCSH): | Digital mapping, Interdisciplinary approach to knowledge, Interdisciplinary research , Science and the humanities -- Research, Science indicators , Technology indicators | ||||||||
| Journal or Publication Title: | Quantitative Science Studies | ||||||||
| Publisher: | M I T Press | ||||||||
| ISSN: | 2641-3337 | ||||||||
| Official Date: | 1 September 2020 | ||||||||
| Dates: |
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| Volume: | 1 | ||||||||
| Number: | 3 | ||||||||
| Page Range: | pp. 1041-1055 | ||||||||
| DOI: | 10.1162/qss_a_00062 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| RIOXX Funder/Project Grant: |
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