000			03577nam a2200493 i 4500
001			7862440
003			IEEE
005			20190220121652.0
006			m o d
007			cr |n|||||||||
008			170316s2008 maua ob 001 eng d
010			_z 2016015228 (print)
020			_a9780262335768 _qelectronic
020			_z9780262035057 _qhardcover
020			_z9780262529488 _qpaperback
035			_a(CaBNVSL)mat07862440
035			_a(IDAMS)0b00006485bebefd
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQA76.9.B45 _bB555 2016eb
082	0	0	_a005.7 _223
245	0	0	_aBig data is not a monolith / _cedited by Cassidy R. Sugimoto, Hamid R. Ekbia, and Michael Mattioli.
264		1	_aCambridge, Massachusetts : _bThe MIT Press, _c[2016]
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2016]
300			_a1 PDF (xxi, 284 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aInformation policy series
504			_aIncludes bibliographical references and index.
506			_aRestricted to subscribers or individual electronic text purchasers.
520			_aBig data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies.The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individuals as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, "data harm," and decision making.ContributorsRyan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 03/16/2017.
650		0	_aBig data.
655		0	_aElectronic books.
700	1		_aSugimoto, Cassidy R., _eeditor.
700	1		_aEkbia, H. R. _q(Hamid Reza), _d1955- _eeditor.
700	1		_aMattioli, Michael, _eeditor.
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aMIT Press, _epublisher.
830		0	_aInformation policy series
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7862440
999			_c39744 _d39744