The politics of modelling : numbers between science and policy

The politics of modelling numbers between science and policy

Adopting a multidisciplinary approach, this edited volume brings together a diverse range of contributions to look beyond the strictly mathematical view of modelling and instead examine the social nature of models, their biases and responsibilities.

Bibliographic Details
Other Authors: Saltelli, A. (Andrea), 1953- editor (editor), Di Fiore, Monica, editor
Format: eBook
Language:Inglés
Published: Oxford : Oxford University Press 2023.
Series:Oxford scholarship online.
Subjects:
Policy sciences > Mathematical models.
Political planning > Mathematical models.
Politics and Government.
Politics & government.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009767128406719
Table of Contents:
  • Cover
  • Titlepage
  • Copyright
  • Foreword
  • Preface
  • Acknowledgements
  • Contents
  • List of abbreviations
  • List of contributors
  • Part I Meeting models
  • 1 Introduction
  • 2 Pay no attention to the model behind the curtain
  • Part II The rules
  • 3 Mind the framings: Match purpose and context
  • 4 Mind the hubris: Complexity can misfire
  • 5 Mind the assumptions: Quantify uncertainty and assess sensitivity
  • 6 Mind the consequences: Quantification in economic and public policy
  • 7 Mind the unknowns: Exploring the politics of ignorance in mathematical models
  • Part III The rules in practice
  • 8 Sensitivity auditing: A practical checklist for auditing decision-relevant models
  • 9 Mathematical modelling: Lessons from composite indicators
  • 10 Mathematical modelling, rule-making, and the COVID-19 pandemic
  • 11 In the twilight of probability: COVID-19 and the dilemma of the decision maker
  • 12 Models as metaphors
  • Epilogue: Those special models: A political economy of mathematical modelling
  • Index.

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