Data Theory: Interpretive Sociology and Computational Methods - Couverture souple

Lindgren, Simon

Couverture souple

ISBN 10 : 150953928X ISBN 13 : 9781509539284

Editeur : Polity Press, 2020

Synopsis

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.

A propos du livre

À propos de l'auteur

Simon Lindgren is Professor of Sociology at Umeå University.

Détails de l'édition

• Éditeur: Polity Press
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 150953928X
• ISBN 13: 9781509539284
• Reliure: Broché
• Nombre de pages: 208
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible