Description
Unlock the potential of data-driven insights with this groundbreaking book, 'Data Theory'. In an age where datafication profoundly influences social science, Simon Lindgren presents a compelling exploration of the intersection between data and theoretical approaches. Filled with invaluable perspectives, this essential read challenges conventional narratives, urging scholars and practitioners alike to reconcile quantitative methods with qualitative sensibilities in the analysis of big data. The book emphasizes the necessity of developing a hybrid approach to make sense of the complexities of our media-saturated political landscape. With 208 pages covering crucial themes in social inquiry, this publication serves as a vital resource for social scientists, data scientists, and students engaged in understanding data within the contexts of society, digital methods, and big data. Delve into the transformative ideas of a critical science of data that integrates ethical considerations and interpretive frameworks with the predictive capabilities of computational methods. Perfect for those wanting to innovate in social theory and methodology, this book is a must-have for anyone interested in navigating the challenges and opportunities presented by our data-rich world. Order now to elevate your understanding and disrupt conventional thinking! Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9781509539284. Year: 2020. Publisher: John Wiley & Sons (UK).
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781509539284
Year: 2020
Publisher: John Wiley & Sons (UK)
Pages: 208
Description:
The datafication of our world offers huge challenges and opportunities for social science. The Âdata-drivenness™ of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the Âquantitative™ dimensions of big data with the Âqualitative™ sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiryIn 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 waysData TheoryĂ‚Â 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.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781509539284
Year: 2020
Publisher: John Wiley & Sons (UK)
Pages: 208
Description:
The datafication of our world offers huge challenges and opportunities for social science. The Âdata-drivenness™ of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the Âquantitative™ dimensions of big data with the Âqualitative™ sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiryIn 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 waysData TheoryĂ‚Â 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.