Name: Data Theory: Interpretive Sociology and Computational Methods (en Inglés)
Price: 235.81 PEN
Availability: InStock
Author: Lindgren, Simon
ISBN: 9781509539277

portada Data Theory: Interpretive Sociology and Computational Methods (en Inglés)

Formato

Libro Físico

Autor

Simon Lindgren

Editorial

Polity Press

Año

2020

Idioma

Inglés

N° páginas

208

Encuadernación

Tapa Dura

Dimensiones

21.8 x 14.0 x 2.0 cm

Peso

0.50 kg.

ISBN13

9781509539277

N° edición

Categorías

Estudios sobre medios
Sociología

Data Theory: Interpretive Sociology and Computational Methods (en Inglés)

Simon Lindgren (Autor) · Polity Press · Tapa Dura

Libro Físico

S/ 235,81

S/ 471,63

Ahorras: S/ 235,81

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Data Theory: Interpretive Sociology and Computational Methods (en Inglés)"

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.