Talk:Sensitivity auditing

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Deletions operated on this page by User:MrOllie[edit]

Dear User talk:MrOllie, In this page, as well as in the other pages you have visited last September, i.e. Sensitivity analysis, Sociology of quantification, Ethics of quantification, Post-normal science, Quantitative storytelling and others, your interventions could use some revision. Some problems that I wish to submit to your attention are:

  • Entire sections have been removed with their references (~1,800 words removed), including about many that had no evident conflict of interest. Cutting the sections with a description of the rules, of their applications and of the developments of sensitivity auditing does the readers a disservice. The linkages between sensitivity auditing and impact assessment are also an important topic of interest to a large readership involved in science for policy.
  • The readers are deprived of one relevant piece of information, which is the original papers where the method was developed and applied. Before it became part of official guidelines, European Commission and SAPEA, sensitivity auditing was published here[1] and here[2]. Without at least one of these references, the context and motivations of the authors are lost. Please note that ref.[1] is mentioned in the guidelines, so cutting this out makes Wikipedia inaccurate: it deprives it of a primary source.

Also on behalf of my various co-authors kindly note that this information is relevant. Sensitivity auditing is an expanding field of work, extensively illustrated in a recent volume of Oxford University Press[3] recently reviewed in the journal Science.[4] A search of sensitivity auditing on Google Scholar returns 226 articles written between 2014 and 2023. A 2023 review article published in the journal Risk Analysis[5] also summarize several recent applications while two articles in Environmental Science and Policy[6][7] stress the relevance of sensitivity auditing for impact assessment. In conclusion, while I am sympathetic to the idea that the enthusiasm of authors for their topic and works needs to be kept in check, and COI avoided, I believe the intervention was too drastic and some form of repair is needed to restore a modicum of information for the readers. The present elisions do a disservice to all authors who have been either involved in sensitivity auditing or worked in adjacent fields. I welcome your suggestions as to how to proceed.Andrea Saltelli Saltean (talk) 10:01, 8 January 2024 (UTC).[reply]

References

  1. ^ a b Saltelli, A., van der Sluijs, J., Guimarães Pereira, Â., 2013, Funtowiz, S.O., What do I make of your Latinorum? Sensitivity auditing of mathematical modelling, International Journal Foresight and Innovation Policy, 9 (2/3/4), 213–234.
  2. ^ Saltelli, A., Funtowicz, S., 2014, When all models are wrong: More stringent quality criteria are needed for models used at the science-policy interface, Issues in Science and Technology, Winter 2014, 79-85.
  3. ^ Saltelli, A. and Di Fiore, M. (eds) (2023), The politics of modelling. Numbers between science and policy. Oxford: Oxford University Press.
  4. ^ Nabavi, E., & Razavi, S. (2023). The responsibility turn. Lessons from the COVID-19 pandemic inspire a guide to recognizing the politics of modeling. Science. 382(6672), 775.
  5. ^ Samuele Lo Piano, Máté János Lőrincz, Arnald Puy, Steve Pye, Andrea Saltelli, Stefán Thor Smith, Jeroen van der Sluijs, November 2023, Unpacking the modeling process for energy policy making, Risk Analysis, doi.org/10.1111/risa.14248.
  6. ^ Saltelli, Andrea, Marta Kuc-Czarnecka, Samuele Lo Piano, Máté János Lőrincz, Magdalena Olczyk, Arnald Puy, Erik Reinert, Stefán Thor Smith, and Jeroen P. van der Sluijs. 2023. Impact assessment culture in the European Union. Time for something new? Environmental Science & Policy 142: 99–111. https://doi.org/10.1016/j.envsci.2023.02.005.
  7. ^ Andrea Saltelli, Lorenzo Benini, Silvio Funtowicz, Mario Giampietro, Matthias Kaiser, Erik Reinert, Jeroen P. van der Sluijs, 2020, The technique is never neutral. How methodological choices condition the generation of narratives for sustainability, Environmental Science and Policy, Volume 106, Pages 87-98.

Some proposed changes[edit]

  • Specific text to be added or removed: Essential references to be addd, please see talk page topic above
  • Reason for the change: These reference were deleted, see talk page topic above
  • References supporting change: See talk page above

Add a reference at the beginning of the page after "Sensitivity auditing is an extension of sensitivity analysis for use in policy-relevant modelling studies.":[1]

Add a new final section named Applications

Applications of sensitivity auditing are discussed in the journal Risk Analysis[2]and in a 2023 book published by Oxford University Press.[3]

REFERENCES FOR THE ENTIRE PAGE

 Note: Please be sure to sign your post next time. Shadow311 (talk) 16:46, 18 January 2024 (UTC)[reply]
Oops, sure sorry! I forgot this time. Andrea Saltelli Saltean (talk) 07:35, 19 January 2024 (UTC)[reply]


References

  1. ^ Sensitivity auditing is an extension of sensitivity analysis for use in policy-relevant modelling studies. Saltelli, Andrea, Ângela; Guimaraes Pereira, Jeroen P. van der Sluijs, and Silvio Funtowicz. 2013. ‘What Do I Make of Your Latinorum. Sensitivity Auditing of Mathematical Modelling’. International Journal of Foresight and Innovation Policy 9 (2/3/4): 213–34. https://doi.org/10.1504/IJFIP.2013.058610.
  2. ^ Lo Piano, Samuele, Máté János Lőrincz, Arnald Puy, Steve Pye, Andrea Saltelli, Stefán Thor Smith, and Jeroen P. van der Sluijs. 2023. ‘Unpacking Uncertainty in the Modelling Process for Energy Policy Making’. Risk Analysis, November.
  3. ^ Lo Piano, Samuele, Arnald Puy, Razi Sheikholeslami, and Andrea Saltelli. 2023. ‘Sensitivity Auditing: A Practical Checklist for Auditing Decision-Relevant Models’. In The Politics of Modelling. Numbers between Science and Policy, edited by Andrea Saltelli and Monica Di Fiore, 121–36. Oxford University Press.
 Done Encoded   Talk 💬 19:37, 15 March 2024 (UTC)[reply]
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