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Cited by 1,151

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A general framework for analysing diversity in science, technology and society

Open access
Stirling, Andy·2007·Journal of The Royal Society Interface

Abstract

This paper addresses the scope for more integrated general analysis of diversity in science, technology and society. It proposes a framework recognizing three necessary but individually insufficient properties of diversity. Based on 10 quality criteria, it suggests a general quantitative non-parametric diversity heuristic. This allows the systematic exploration of diversity under different perspectives, including divergent conceptions of relevant attributes and contrasting weightings on different diversity properties. It is shown how this heuristic may be used to explore different possible trade-offs between diversity and other aspects of interest, including portfolio interactions. The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.

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Metadata

Authors
Stirling, A.
Venue
Journal of The Royal Society Interface
Published
2007-02-27
Volume
4
Issue
15
Pages
707-719
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2110158660
Cited by
1,151
References
1
FWCI
47.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A general framework for analysing diversity in science, technology and society. https://app.cochat.ai/papers/10.1098/rsif.2007.0213
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Stirling, A. (2007). A general framework for analysing diversity in science, technology and society. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2007.0213

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.