What do I make of your Latinorum? Sensitivity auditing of mathematical modelling.

@article{Saltelli2012WhatDI,
  title={What do I make of your Latinorum? Sensitivity auditing of mathematical modelling.},
  author={A. Saltelli and {\^A}. Pereira and J. Sluijs and S. Funtowicz},
  journal={International Journal of Foresight and Innovation Policy},
  year={2012},
  volume={9},
  pages={213}
}
  • A. Saltelli, Â. Pereira, +1 author S. Funtowicz
  • Published 2012
  • Physics, Computer Science, Mathematics
  • International Journal of Foresight and Innovation Policy
  • Sensitivity analysis, mandated by existing guidelines as a good practice to use in conjunction to mathematical modelling, is as such insufficient to ensure quality in the treatment of uncertainty of science for policy. If one accepts that policy-related science calls for an extension of the traditional internal, peer review-based methods of quality assurance to higher levels of supervision, where extended participation and explicit value judgments are necessary, then by the same token… CONTINUE READING
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 81 REFERENCES
    How to avoid a perfunctory sensitivity analysis
    • 659
    • PDF
    Science for the post-normal age
    • 2,391
    Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators
    • 511
    • PDF
    Probabilistic sensitivity analysis of complex models: a Bayesian approach
    • 882
    • PDF
    Global Sensitivity Analysis
    • 758
    Risk, Uncertainty and Profit
    • 11,659
    The "Stern Review" on the Economics of Climate Change
    • 2,241
    • PDF
    Sensitivity Analysis as an Ingredient of Modeling
    • 592
    • PDF