Science for a Fragile World
Imagine two worlds. In one, laws, causal relations, and mechanisms are stable. In the other, they are fragile and unreliable. Our actual world is a mixture of the two, but for many of the things we care about most, the relations that matter are fragile. Fragility means we cannot rely on a theory or model that worked in one case still working in another, so it requires us to re-establish what works each time. Science for a Fragile World offers a novel re-examination of theory and empirical investigation, opening up a new view, and path, for scientific expertise. Chapters 1 and 2 offer an introduction and definition of the concept of fragility, proposing that a relation is fragile if and only if it holds unpredictably enough. Following from this, Chapters 3 and 4 explore the importance of narrow-scope empirical investigations and the methodological need for a 'Case Worker'-as opposed to a Stability-Theorist-approach. Chapters 5-7 further reflect on the unique challenge posed by the ubiquity of fragility for scientific methodology and the philosophy of science. In the latter chapters, Northcott delves into the impact of fragility in key case studies: economics, big data, and epidemiological modeling in the Covid-19 pandemic. Cutting through the strictures of the classic scientific realist debate, the volume concludes with a reevaluation of the role of expertise in a fragile world. Warning against grand unified theories, Northcott makes a thorough case for a science which emphasizes practical know-how and informal knowledge as much as theory.
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Science for a Fragile World
Imagine two worlds. In one, laws, causal relations, and mechanisms are stable. In the other, they are fragile and unreliable. Our actual world is a mixture of the two, but for many of the things we care about most, the relations that matter are fragile. Fragility means we cannot rely on a theory or model that worked in one case still working in another, so it requires us to re-establish what works each time. Science for a Fragile World offers a novel re-examination of theory and empirical investigation, opening up a new view, and path, for scientific expertise. Chapters 1 and 2 offer an introduction and definition of the concept of fragility, proposing that a relation is fragile if and only if it holds unpredictably enough. Following from this, Chapters 3 and 4 explore the importance of narrow-scope empirical investigations and the methodological need for a 'Case Worker'-as opposed to a Stability-Theorist-approach. Chapters 5-7 further reflect on the unique challenge posed by the ubiquity of fragility for scientific methodology and the philosophy of science. In the latter chapters, Northcott delves into the impact of fragility in key case studies: economics, big data, and epidemiological modeling in the Covid-19 pandemic. Cutting through the strictures of the classic scientific realist debate, the volume concludes with a reevaluation of the role of expertise in a fragile world. Warning against grand unified theories, Northcott makes a thorough case for a science which emphasizes practical know-how and informal knowledge as much as theory.
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Science for a Fragile World

Science for a Fragile World

by Robert Northcott
Science for a Fragile World

Science for a Fragile World

by Robert Northcott

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Overview

Imagine two worlds. In one, laws, causal relations, and mechanisms are stable. In the other, they are fragile and unreliable. Our actual world is a mixture of the two, but for many of the things we care about most, the relations that matter are fragile. Fragility means we cannot rely on a theory or model that worked in one case still working in another, so it requires us to re-establish what works each time. Science for a Fragile World offers a novel re-examination of theory and empirical investigation, opening up a new view, and path, for scientific expertise. Chapters 1 and 2 offer an introduction and definition of the concept of fragility, proposing that a relation is fragile if and only if it holds unpredictably enough. Following from this, Chapters 3 and 4 explore the importance of narrow-scope empirical investigations and the methodological need for a 'Case Worker'-as opposed to a Stability-Theorist-approach. Chapters 5-7 further reflect on the unique challenge posed by the ubiquity of fragility for scientific methodology and the philosophy of science. In the latter chapters, Northcott delves into the impact of fragility in key case studies: economics, big data, and epidemiological modeling in the Covid-19 pandemic. Cutting through the strictures of the classic scientific realist debate, the volume concludes with a reevaluation of the role of expertise in a fragile world. Warning against grand unified theories, Northcott makes a thorough case for a science which emphasizes practical know-how and informal knowledge as much as theory.

Product Details

ISBN-13: 9780192665621
Publisher: OUP Oxford
Publication date: 06/13/2025
Sold by: Barnes & Noble
Format: eBook
Pages: 216
File size: 945 KB

About the Author

Robert Northcott is Professor of Philosophy at Birkbeck, University of London. He previously taught for six years at the University of Missouri St Louis. Northcott received his PhD in philosophy from the London School of Economics, also visiting University of California San Diego for two years. He has a BA in mathematics and history from Cambridge, and an MSc in economics from the London School of Economics. Northcott has been Honorary Secretary of the British Society for the Philosophy of Science. He was the founding co-editor of the Cambridge series Elements in Philosophy of Science.

Table of Contents

1. Introduction2. Definition of fragility3. Going local: narrow-scope explanations4. The core divide: Stability-Theorist versus Case-Worker5. Ubiquity of fragility6. Fragility and philosophy of science7. Fragility and reflexivity8. Fragility and economics9. Fragility and big data10. Fragility and the COVID-19 pandemic11. Conclusion: expertise in a fragile world
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