The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Bringing values and deliberation to science communication
Open accessAbstract
Decisions always involve both facts and values, whereas most science communication focuses only on facts. If science communication is intended to inform decisions, it must be competent with regard to both facts and values. Public participation inevitably involves both facts and values. Research on public participation suggests that linking scientific analysis to public deliberation in an iterative process can help decision making deal effectively with both facts and values. Thus, linked analysis and deliberation can be an effective tool for science communication. However, challenges remain in conducting such process at the national and global scales, in enhancing trust, and in reconciling diverse values.
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Cites
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Cited by
The evidence for motivated reasoning in climate change preference formation
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“…relatively stable across the adult lifespan, and so are unlikely to be changed by message-based campaigns to promote public engagement with climate change in the short-term 85 (although as we discuss in the final section, more deliberative processes may engage and even alter values over time 86 ).”
BackgroundThe sciences of science communication
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Evaluating taboo trade-offs in ecosystems services and human well-being
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Why social values cannot be changed for the sake of conservation
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Metadata
- Authors
- Dietz, T.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-08-12
- Volume
- 110
- Issue
- supplement_3
- Pages
- 14081-14087
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2121600794
- Cited by
- 467
- References
- 12
- FWCI
- 105.10
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
