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The Politics of Modelling, Numbers Between Science and Policy

The Politics of Modelling, Numbers Between Science and Policy is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand The Politics of Modelling, Numbers Between Science and Policy rather than just read about it. In short: The Politics of Modelling, Numbers Between Science and Policy is a multi-authors book edited by Andrea Saltelli and Monica Di Fiore and published in August 2023 by Oxford University Press. Synopsis The Politics of Modelling elaborates and expands on themes of responsible modelling from a manifesto published in the journal Nature in 2020.

The Politics of Modelling, Numbers Between Science and Policy — main illustration
The Politics of Modelling, Numbers Between Science and Policy — illustration

Key takeaways

  • The Politics of Modelling, Numbers Between Science and Policy belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect The Politics of Modelling, Numbers Between Science and Policy to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of The Politics of Modelling, Numbers Between Science and Policy from memory before moving on to harder problems.

Reference excerpt

The Politics of Modelling, Numbers Between Science and Policy is a multi-authors book edited by Andrea Saltelli and Monica Di Fiore and published in August 2023 by Oxford University Press.

Synopsis The Politics of Modelling elaborates and expands on themes of responsible modelling from a manifesto published in the journal Nature in 2020. The text is structured into three main sections: Meeting Models, The Rules, and The Rules in Practice. The combination of theory with policy relevant examples makes the book accessible to modellers, researchers of modelling, and policy makers. The volume comes with a foreword of Wendy Nelson Espeland and a preface of Daniel Sarewitz, with chapters from Andy Stirling, Wolfgang Drechsler, Philip B. Stark, Ting Xu, Paolo Vineis, Andrea Saltelli, and other scholars.

Reception The book argues that models live in a "state of exception" provided by their access to a wealth of methodology of analysis, and by their epistemic authority borrowed from mathematics. This state allows models to better defend an appearance of neutrality that is appreciated by policymakers in search of a justification. A review published in the Science notes that the volume incorporated insights from science and technology studies to explore modeling beyond its technical aspects A second review in the Minerva notes the book's reference to the works of historians Margaret Morrison and Mary S. Morgan in considering models as mediators whereby models are simultaneously a tool, an interpretation, and a representation of the system. The book contrasts the danger of cynicism with suggestions to make models serve society, based on theory, examples, and a call for participatory modelling linked to Post-normal science, sensitivity auditing and the concept of extended peer community. Reviewers also noted that the book ignores other ongoing efforts in enhancing or formalizing modelling practices such as the framework proposed van Voorn, and the Good Modelling Practice handbook developed for water management purposes in the Netherlands. Reviewers pointed to the book's failure to cover the 'fit-for purpose' movement in modelling. Other points where the book was found to be lacking by critics were the challenge of participatory modelling, related to gaming and power relations such as Arnsteinds' ladder of participation. A review in Mathematics Magazine notes the book's attention to sensitivity analysis: "[The authors] stress the importance of sensitivity analysis, with a highly-illustrative and illuminating example that analyzes the EOQ (economic order quantity) formula." Another review in the journal Acta Sociologica notes that the collection brings the reflexive sensibility of social criticism to realworld applications: the pandemic, certainly, but also other arenas in which modeling serves as a technology of governance such as economics and climate change.

References

Links Saltelli, A. and Di Fiore, M. (eds) (2023) The politics of modelling. Numbers between science and policy. Oxford: Oxford University Press, at OUP website. Chapters available in open access. Models: a state of exception, Oxford Martin School, November 20 2023, Launch of The Politics of Modelling – video. Podcast – interview for ABC NET RADIO, AUS August 26, 2023: Assumptions and consequences: the politics of modelling, Guests: Ehsan Nabavi and Andrea Saltelli, Producer – Chris Bullock.

See also Sociology of quantification Ethics of quantification Sensitivity analysis Sensitivity auditing

Related readings Desrosières, Alain. (1998). The Politics of Large Numbers: a history of statistical reasoning, Harvard University Press. Scoones, I., & Stirling, A. (2020). The Politics of Uncertainty. (I. Scoones & A. Stirling, Eds.), Abingdon, Oxon; New York, NY: Routledge, 2020. Series: Pathways to sustainability: Routledge. doi:10.4324/9781003023845 Mennicken, A., & Salais, R. (Eds.). (2022b). The New Politics of Numbers: Utopia, Evidence and Democracy, Palgrave Macmillan.

Worked examples

Example 1 — a first encounter with The Politics of Modelling, Numbers Between Science and Policy

Start with the simplest possible case. Write down what The Politics of Modelling, Numbers Between Science and Policy claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to The Politics of Modelling, Numbers Between Science and Policy before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about The Politics of Modelling, Numbers Between Science and Policy ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of The Politics of Modelling, Numbers Between Science and Policy

In research
The Politics of Modelling, Numbers Between Science and Policy appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses The Politics of Modelling, Numbers Between Science and Policy in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
The Politics of Modelling, Numbers Between Science and Policy is common in secondary-school and first-year university syllabi. It links to neighbouring topics Mathematical and quantitative methods (economics), Mathematical modeling, so understanding it makes those chapters shorter.
In everyday life
Look for The Politics of Modelling, Numbers Between Science and Policy outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study The Politics of Modelling, Numbers Between Science and Policy in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what The Politics of Modelling, Numbers Between Science and Policy means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain The Politics of Modelling, Numbers Between Science and Policy out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is The Politics of Modelling, Numbers Between Science and Policy in simple terms?

The Politics of Modelling, Numbers Between Science and Policy is a multi-authors book edited by Andrea Saltelli and Monica Di Fiore and published in August 2023 by Oxford University Press. Synopsis The Politics of Modelling elaborates and expands on themes of responsible modelling from a manifesto…

Why does The Politics of Modelling, Numbers Between Science and Policy matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study The Politics of Modelling, Numbers Between Science and Policy?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on The Politics of Modelling, Numbers Between Science and Policy.

Tags

  • Mathematical and quantitative methods (economics)
  • Mathematical modeling

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