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Big Data Is Not a Monolith (Information Policy) by [Cassidy R. Sugimoto, Hamid R. Ekbia, Michael Mattioli]

Big Data Is Not a Monolith (Information Policy) Kindle Edition

3.5 out of 5 stars 2 ratings

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Editorial Reviews

Review

Big data pervades and crosses organizations and domains, posing multiple challenges, yet these challenges are dwarfed by the opportunities and issues posed by big data analytics (BDA). For a researcher working on BDA, this volume opens multiple perspectives on an amazingly rich cross-section of those and explores what to do about them.

(Alan Porter, codirector of the Program in Science, Technology & Innovation Policy (STIP), Georgia Tech)

This book combines expertise from different areas of scholarship to give valuable insights into what big data is doing, what it can do, and what it should be allowed to do. It is essential reading for those wishing to understand the widespread societal implications of the big data revolution.

(Mike Thelwall, Professor of Information Science, University of Wolverhampton)

Big Data Is Not a Monolith is required reading for those who find themselves in the thrall of big data but want to move beyond the hype to understand the social context of the current big data computerization movement. The collected authors ably grapple with how big data as a socio-technical system contributes to knowledge, shapes human behavior and choices, and has become increasingly integral to our social, legal, political, and economic systems.

(Eric T. Meyer, Professor of Social Informatics, University of Oxford; coauthor of Knowledge Machines: Digital Transformations of the Sciences and Humanities)

Well informed (up to date references), well written, an interesting read. This text is highly recommended, for all readers and practitioners with a serious interest in Big Data Analytics (BDA). Simply excellent!

(British Computer Society) --This text refers to an out of print or unavailable edition of this title.

About the Author

Cassidy R. Sugimoto is Associate Professor in the School of Informatics and Computing at Indiana University Bloomington and the coeditor of Beyond Bibliometrics (MIT Press).

Hamid R. Ekbia is Professor of Informatics, Cognitive Science, and International Studies, and Director of the Center for Research on Mediated Interaction at Indiana University Bloomington. He is the author of Artificial Dreams: The Quest for Non-Biological Intelligence and  a coeditor of  Big Data Is Not a Monolith (MIT Press).

Michael Mattioli is Associate Professor at the Indiana University Maurer School of Law. --This text refers to an out of print or unavailable edition of this title.

Product details

  • ASIN ‏ : ‎ B08BT1LLPH
  • Publisher ‏ : ‎ The MIT Press (October 21, 2016)
  • Publication date ‏ : ‎ October 21, 2016
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 1296 KB
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Enabled
  • Print length ‏ : ‎ 419 pages
  • Lending ‏ : ‎ Not Enabled
  • Customer Reviews:
    3.5 out of 5 stars 2 ratings

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3.5 out of 5 stars
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Andrew Cashmore
4.0 out of 5 stars Good book with up to date references
Reviewed in the United Kingdom on May 20, 2017
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