Data Theory. Interpretive Sociology and Computational Methods

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ISBN
9781509539284
Nombre del producto:
Data Theory. Interpretive Sociology and Computational Methods
Peso:
N/D
Fecha de edición:
1 oct. 2020
Número de Edición:
1
Autor:
Lindgren, Simón
Idioma:
Inglés
Formato:
Libro
Páginas:
208
Lugar de edición:
USA
Colección:
SIN COLECCIÓN
Encuadernación:
Rústica

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.

Introduction: Data Theory
1 Beyond Method
2 Decoding Social Forms
3 Unintended Consequences
4 Actor-Networks
5 Collective Presentations
6 Symbolic Power
7 Theoretical I/O Conclusion: Theory/Data

Simon Lindgren is Professor of Sociology at Umeå University

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