Modelling Scientific Communities

Douban
Modelling Scientific Communities

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ISBN: 9781009359535
Autor/in: Cailin O'Connor
Buchformat: Taschenbuch
Verlag: Cambridge University Press
Veröffentlichungsdatum: 2023
Anzahl der Seiten: 75

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Cailin O'Connor   

Übersicht

This Element will overview research using models to understand scientific practice. Models are useful for reasoning about groups and processes that are complicated and distributed across time and space, i.e., those that are difficult to study using empirical methods alone. Science fits this picture. For this reason, it is no surprise that researchers have turned to models over the last few decades to study various features of science. The different sections of the element are mostly organized around different modeling approaches. The models described in this element sometimes yield take-aways that are straightforward, and at other times more nuanced. The Element ultimately argues that while these models are epistemically useful, the best way to employ most of them to understand and improve science is in combination with empirical methods and other sorts of theorizing.

Inhalt

1 Introduction 1
2 The Credit Economy 4
3 The Natural Selection of Science 19
4 Social Networks and Scientific Knowledge 28
5 Epistemic Landscapes 40
6 The Replication Crisis and Methodological Reform 49
7 Conclusion 63

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