Modelling Scientific Communities

Douban
Modelling Scientific Communities

Accedi o registrati per recensire o aggiungere questo elemento alla tua collezione.

ISBN: 9781009359535
Autore: Cailin O'Connor
formato del libro: Brossurato
Casa editrice: Cambridge University Press
data di pubblicazione: 2023
Numero di pagine: 75

/ 10

0 valutazioni

Non ci sono abbastanza valutazioni
Prendi in prestito oppure Acquista

Cailin O'Connor   

Sinossi

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.

contenuti

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

Commenti
Recensioni
Notes