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Big Data

Big Data


Critical Approaches to Big Data

Part of the Living in the Anthropocene series:
School of Arts & Creative Industries, London South Bank University
Friday 5 June 2015

The rise of Big Data is changing how we think about the world, or so it is claimed. The advent of ‘algorithmic regulation’ spells the death of politics, but might also allow us to ‘stop wars before they happen’. Datafication enables the rise of new paradigms in the sciences and humanities, but may also entail the ‘end of theory’. Does the rise of data-driven knowledge underscore the need for human interpretation and judgement, or does it confirm the post-humanist rejection of modernist assumptions about how we understand and act to transform the world? Big Data is still an emerging concept and its future uses and implications remain unclear, but this makes the development of critical perspectives more, rather than less, important.


Prof David Chandler: Big Data & Posthumanism
Centre for the Study of Democracy, University of Westminster

Dr Mark Coté: Critically Engaging Big Social Data
Department of Culture, Media & Creative Industries, King’s College London

Prof Phil Hammond: From Computer-Aided to Data-Driven: Journalism & Big Data
School of Arts & Creative Industries, London South Bank University

Dr Athina Karatzogianni: Datafication as Resistance?
Department of Media & Communication, University of Leicester

Dr Nathaniel Tkacz: The Performance Platform
Centre for Interdisciplinary Methodologies, University of Warwick


This event is free and open to all but places are limited. Click here to book a free ticket:

Bigger Data

Bigger Data

David Chandler, Professor of International Relations, Director of the Centre for the Study of Democracy, Department of Politics and International Relations, University of Westminster, 32-38 Wells Street, London, W1T 3UW. Tel: ++44 (0)776 525 3073.
Journal Editor, Resilience: International Policies, Practices and Discourses:

Amazon books page:

Personal website:
Twitter: @DavidCh27992090

Even Bigger Data

Even Bigger Data


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Posted here by Glenn Rikowski

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