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Full Description
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.
Contents
1: Introduction
2: Definition of fragility
3: Going local: narrow-scope explanations
4: The core divide: Stability-Theorist versus Case-Worker
5: Ubiquity of fragility
6: Fragility and philosophy of science
7: Fragility and reflexivity
8: Fragility and economics
9: Fragility and big data
10: Fragility and the COVID-19 pandemic
11: Conclusion: expertise in a fragile world
