The Politics of Modelling
Numbers Between Science and Policy
Monica Di Fiore author Andrea Saltelli author Monica Di Fiore editor Andrea Saltelli editor
Format:Hardback
Publisher:Oxford University Press
Published:25th Aug '23
Currently unavailable, and unfortunately no date known when it will be back
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 Academic The 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.
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. * Nassim Nicholas Taleb, Distinguished Professor of Risk Engineering, NYU Tandon School of Engineering. Author of the five-volume Incerto series (The Black Swan) *
The Politics of Modelling: Numbers between Science and Policy is a breath of fresh air and a much-needed cautionary view of the ever-increasing dependence on mathematical modelling in ever-widening directions. The five aspects of modelling that should be 'minded' are a sensitive summary of factors that should be considered when evaluating any mathematical model. * Orrin H. Pilkey, Professor, Duke University's Nicholas School of the Environment, Co-author, with Linda Pilkey-Jarvis, of Useless Arithmetic: Why Environmental Scientists Can't Predict the Future, Columbia University Press, Washington, DC, 2009 *
The methods by which power insinuates itself into models, and facilitates their portability and amendments, are diverse and sometimes insidious. And that's one reason why the range of cases explored in The Politics of Modelling are so illuminating and why we need to pay attention to its authors. [...] Good scholarly books usually do one of two things. They dig into the details of something so that we understand it better, see it in a new light. We often call this depth. Or they bring things together in some creative amalgamation that allows us to make new comparisons, to see patterns we hadn't before seen. This we call breadth. It is rare when a book does both things well. This one does. * Wendy N. Espeland, Professor of Sociology, Northwestern University. *
A modern Rip Van Winkle, awaking from a century of scientific slumbers, would be dismayed to find so much emphasis on models and so little talk of scientific laws and facts. Although Rip's dyspeptic view of models now seems misguided, a call for caution is very much in order. Modelling tools have consequences both for science and for a larger public, taking in historical, sociological, and moral perspectives as well as technical, scientific ones. * Theodore M. Porter, Department of History, UCLA, author of Trust in Numbers, Princeton University Press, Princeton, NJ, 1995 *
My decades of modeling operation and interpretation of results have been greatly expanded by the terrific perspective proffered in The Politics of Modelling. * Anthony J. Sadar, Washington Times *
The book provides inspiration, has a reflective but constructive tone, and exemplifies the politics of modelling in a clear way. * Lieke A. Melsen, Minerva *
...this book stands as a pioneering work in a field that has historically focused on statistical and algorithmic methods for generating numbers. * Ehsan Nabavi and Saman Razavi, Science *
Recommended. Advanced undergraduates through faculty; professionals. * Choice *
Accompanied by numerous references, the essays offer examples of models, their interpretations, and uses that have gone astray. * P.J. Campbell, Mathematics Magazine *
If the road to change starts with recognition and self-awareness, then the book has done a significant service to the modelling community by naming the biases and calling out some of the dilemmas and risks deeply rooted in the modelling institution....I strongly recommend you take this book and embrace it for an intellectually stimulating learning and critical reflection experience where you will find yourself often nodding in agreement, and sometimes challenged by the depth and breadth of ideas. * Sondoss Elsawah, Environmental Modelling & Software, ScienceDirect *
Accompanied by numerous references, the essays offer examples of models, their interpretations, and uses that have gone astray. * P.J. Campbell, Mathematics Magazine *
If the road to change starts with recognition and self-awareness, then the book has done a significant service to the modelling community by naming the biases and calling out some of the dilemmas and risks deeply rooted in the modelling institution....I strongly recommend you take this book and embrace it for an intellectually stimulating learning and critical reflection experience where you will find yourself often nodding in agreement, and sometimes challenged by the depth and breadth of ideas. * Sondoss Elsawah, Environmental Modelling & Software, ScienceDirect *
ISBN: 9780198872412
Dimensions: 240mm x 160mm x 20mm
Weight: 594g
272 pages