The Politics of Modelling

Numbers Between Science and Policy

Inbunden, Engelska, 2023

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Beskrivning

Chapter 2, 'Pay no attention to the model behind the curtain', Chapter 4, 'Mind the hubris: Complexity can misfire', and Chapter 8, ' Sensitivity auditing: A practical checklist for auditing decision-relevant models' are published open access and free to read or download from Oxford AcademicThe widespread use of mathematical models for policy-making and its social and political impact are at the core of this book. While the discussion of mathematical modelling generally centres around technical features, use, and type of model, the literature is increasingly acknowledging that the social nature of modelling, its biases and responsibilities, are equally worth investigating. This book tackles these emerging questions by adopting a multidisciplinary approach to investigate how current modelling practices address contemporary challenges, and fills a gap in the field, which has historically focused on statistical and algorithmic modes of producing numbers. Thanks to its multidisciplinary appeal, this book will be essential reading for modellers, public officials, policymakers, and scholars alike.Part of this title is published open access. This part is available to read and download as a PDF on Oxford Academic and is made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International licence.

Produktinformation

Utgivningsdatum:2023-08-25
Mått:160 x 240 x 20 mm
Vikt:594 g
Format:Inbunden
Språk:Engelska
Antal sidor:272
Förlag:OUP OXFORD
ISBN:9780198872412

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Mer om författaren

Andrea Saltelli is based at Pompeu Fabra University in Barcelona. His most recent papers have tackled sensitivity analysis and auditing, the ecological footprint, the future of statistics, the rationale of evidence-based policy, the crisis of science and the post-truth discussion. Andrea gives courses in sensitivity analysis, sensitivity auditing, science integrity, and the ethics of quantification. He has recently published on the role of science in processes of regulatory capture.Monica Di Fiore is a researcher at the Institute for Cognitive Sciences and Technologies of the Italian National Research Council (CNR) of Rome. She has dealt with innovation and social acceptance of technologies.Her most recent work focuses on open science and responsible research and innovation, the reproducibility crisis, science-based normative capture, and the sociology and ethics of quantification. She recently contributed to a manifesto published by Nature on the quality of mathematical models.

Recensioner i media

The strong principle for the real world is: never use a model if you don't know its limitations and side effects. In fact, you must know what it can't do for you better than what it can do. I am glad this project is taking place: a long-awaited examination of the role-and obligation-of modeling.

Innehållsförteckning

Foreword: Mathematically modelling as a critical cultural enterprise Wendy Espeland Preface: The sciences of modelling through Dan Sarewitz Part I - Meeting models 1: Introduction Monica Di Fiore and Andrea Saltelli 2: Pay no attention to the model behind the curtain Philip Stark Part II - The rules 3: Mind the framing: Match purpose and context Monica Di Fiore, Marta Kuc-Czarnecka, Samuele Lo Piano, Arnald Puy, and Andrea Saltelli 4: Mind the hubris: Complexity can misfire Arnald Puy and Andrea Saltelli 5: Mind the assumptions: Quantify uncertainty and assess sensitivity Emanuele Borgonovo 6: Mind the consequences: Quantification in economic and public policy Wolfgang Drechsler and Lukas Fuchs 7: Mind the unknowns: Exploring the politics of ignorance in mathematical models Andy Stirling Part III - The rules in practice 8: Sensitivity auditing: A practical checklist for auditing decision-relevant models Samuele Lo Piano, Razi Sheikholeslami, Arnald Puy, and Andrea Saltelli 9: Mathematical modelling: Lessons from composite indicators Marta Kuc-Czarnecka and Andrea Saltelli 10: Mathematical modelling, rulemaking, and the COVID-19 pandemic Ting Xu 11: In the twilight of probability: COVID-19 and the dilemma of the decision-maker Paolo Vineis and Luca Savarino 12: Models as metaphors Jerome R. Ravetz Epilogue: Those special models: A political economy of mathematical modelling Andrea Saltelli and Monica Di Fiore