Cited by 1,575Scientific Measurement and Uncertainty EvaluationResearch, Science, and AcademiaInternational Science and Diplomacy

Uncertainty and Quality in Science for Policy

Open access
Funtowicz, Silvio O., Ravetz, Jerome R.·1990·Springer eBooks

Integrity signals

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Crossref · 10.1007/978-94-009-0621-1

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  • If indicators are not chosen carefully a priori according to a conceptual and quality framework, a 'garbage in-garbage out' outcome may be produced, with a composite indicator reflecting 'insincere' dimensions.

    “Otherwise, a 'garbage in-garbage out' outcome may be produced (Funtowicz and Ravetz 1990), which in this case is that of a composite indicator reflecting 'insincere' dimensions in relation to those desired (Munda 2005a).”
  • Tools of post-normal-science inspiration for knowledge and modelling quality assessment could be adapted to the analysis of algorithms, such as the NUSAP notation system and sensitivity auditing.

    “Tools of post-normal-science inspiration for knowledge and modelling quality assessment could be adapted to the analysis of algorithms, such as the NUSAP (Numeral Unit Spread Assessment Pedigree) notation system for the management and communication of uncertainty (Funtowicz and Ravetz, 1990;Van Der Sluijs, 2005) and sensitivity auditing (Saltelli and Funtowicz, 2014), respectively.”

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Sorted by citations

Authors
Funtowicz, S. O., & Ravetz, J. R.
Affiliations
Joint Research Centre (IT)
Venue
Springer eBooks
Published
1990
OpenAlex
W1533967694
Cited by
1,575
References
0
Citations by year
2026: 22 · 2025: 27 · 2024: 43 · 2023: 59 · 2022: 54 · 2021: 51 · 2020: 53 · 2019: 56 · 2018: 66 · 2017: 80 · 2016: 58 · 2015: 56 · 2014: 64 · 2013: 51 · 2012: 72
FWCI
3.62
Type
book
Language
en
Open access
Locations
  • Springer eBooks (publishedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Scientific Measurement and Uncertainty Evaluation
  • Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
  • Social Sciences › Political Science and International Relations › International Science and Diplomacy
Keywords
uncertainty, scientific quality, science for policy, fine-structure constant, error bars, recommended values, measurement uncertainty

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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