The Politics of Modelling
Numbers Between Science and Policy
Herausgeber: Saltelli, Andrea; Di Fiore, Monica
The Politics of Modelling
Numbers Between Science and Policy
Herausgeber: Saltelli, Andrea; Di Fiore, Monica
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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.
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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.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Hurst & Co.
- Seitenzahl: 272
- Erscheinungstermin: 25. November 2023
- Englisch
- Abmessung: 229mm x 163mm x 28mm
- Gewicht: 612g
- ISBN-13: 9780198872412
- ISBN-10: 0198872410
- Artikelnr.: 68053961
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Hurst & Co.
- Seitenzahl: 272
- Erscheinungstermin: 25. November 2023
- Englisch
- Abmessung: 229mm x 163mm x 28mm
- Gewicht: 612g
- ISBN-13: 9780198872412
- ISBN-10: 0198872410
- Artikelnr.: 68053961
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
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.
* 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
* 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
* 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
* 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