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Data Theory

Interpretive Sociology and Computational Methods

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Éditeur :

Polity


Paru le : 2020-09-01



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Description
The datafication of our world offers huge challenges and opportunities for social science. The ‘data-drivenness’ of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the ‘quantitative’ dimensions of big data with the ‘qualitative’ sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiry. 

In this experimental and provocative book, Simon Lindgren argues that a hybrid approach to data and theory must be developed in order to make sense of today's ambivalent, turbulent, and media-saturated political landscape. He pushes for the development of a critical science of data, joining the interpretive theoretical and ethical sensibilities of social science with the predictive and prognostic powers of data science and computational methods. In order for theories and research methods to be more useful and relevant, they must be dismantled and put together in new, alternative, and unexpected ways. 

Data Theory is essential reading for social scientists and data scientists, as well as students taking courses in social theory and data, digital methods, big data, and data and society.
Pages
208 pages
Collection
n.c
Parution
2020-09-01
Marque
Polity
EAN papier
9781509539277
EAN PDF
9781509544202
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
208
Taille du fichier
3195 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
59,61 €
EAN EPUB
9781509539291
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
208
Taille du fichier
1270 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
19,10 €

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