9781509539284 - Data Theory: Interpretive Sociology and Computational Methods de Lindgren, Simon (19 resultados)

Paperback. Condición: new. Paperback. 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 top scholar explores what social theory can do for data science"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New.

Paperback. Condición: New. 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.

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Condición: New. pp. 208.

Paperback. Condición: Brand New. 208 pages. 8.50x5.50x0.75 inches. In Stock.

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Condición: New. 2020. 1st Edition. Paperback. . . . . .

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Condición: New. pp. 208.

Condición: New.

Condición: New. 2020. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. 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 top scholar explores what social theory can do for data science"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condición: new. Paperback. 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 top scholar explores what social theory can do for data science"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: New. 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.