Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 18,13
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: John Wiley and Sons Ltd, Oxford, 2020
ISBN 10: 150953928X ISBN 13: 9781509539284
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Lingua: Inglese
Editore: John Wiley and Sons Ltd, GB, 2020
ISBN 10: 150953928X ISBN 13: 9781509539284
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 21,66
Quantità: 8 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 19,34
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 22,24
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Da: Majestic Books, Hounslow, Regno Unito
EUR 24,69
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 208.
Da: Revaluation Books, Exeter, Regno Unito
EUR 23,27
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Aggiungi al carrelloPaperback. Condizione: Brand New. 208 pages. 8.50x5.50x0.75 inches. In Stock.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 26,77
Quantità: 16 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 22,69
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 208.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2020. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: John Wiley and Sons Ltd, Oxford, 2020
ISBN 10: 150953928X ISBN 13: 9781509539284
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 28,61
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Lingua: Inglese
Editore: John Wiley and Sons Ltd, GB, 2020
ISBN 10: 150953928X ISBN 13: 9781509539284
Da: Rarewaves.com UK, London, Regno Unito
EUR 21,37
Quantità: 8 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.