Big Data & Society

Editor and Founding Editor: Evelyn Ruppert,Goldsmiths, University of London, UK

Big Data & Society is an open access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.

The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge.

For the BDS blog, bookcasts and resources, visit our blog site.

Conceiving the Social with Big Data: A Colloquium of Social and Cultural Scientists

Guest Editors:  John W. Mohr, Department of Sociology, University of California, Santa Barbara; Ronald L. Breiger, School of Sociology, University of Arizona; and Robin Wagner-Pacifici, Department of Sociology, New School.

This special theme explores how the conceptualization, methods, and research practices for working with and analyzing Big Data frequently contain implicit assumptions about the very nature of society, individuals, social institutions and scientific practice, as well as assumptions about how they operate.  The commentaries collected here highlight these types of assumptions and describe some ways in which scholars in the social sciences and humanities can challenge, correct for and redefine how they use Big Data

Demos 

Still from the installation Deep Play, 2008, by Harun Farocki Demos are curated essays, in which the authors reflect on projects related to the concerns of Big Data & Society.   The first essay of this kind, linked to below, is by Sabine Niederer and Raymond Taudin Chabot, entitled 'Deconstructing the cloud: Responses to Big Data phenomena from social sciences, humanities and the arts.'

 

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