six provocations of big data
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Six Provocations of BIG DATA. Joe Howell • MCDM Cohort 12 Digital Democracy• August 11, 2012. IN 2000 THE WORLD GENERATED TWO EXABYTES OF NEW INFORMATION. Sources: “How Much Information?” Peter Lyman and Hal Varian, UC Berkeley, 2011 IDC Digital Universe Study. 2011. - PowerPoint PPT PresentationTRANSCRIPT
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Six Provocations ofBIG DATA
Joe Howell • MCDM Cohort 12 Digital Democracy• August 11, 2012
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IN 2000 THE WORLD GENERATEDTWO EXABYTESOF NEW INFORMATION
Sources: “How Much Information?” Peter Lyman and Hal Varian, UC Berkeley, 2011 IDC Digital Universe Study.
3© Copyright 2012 EMC Corporation. All rights reserved.
Sources: “How Much Information?” Peter Lyman and Hal Varian, UC Berkeley, 2011 IDC Digital Universe Study.
IN 2000 THE WORLD GENERATEDTWO EXABYTESOF NEW INFORMATIONEVERY DAY
20115
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big•data \ datasets so large they break traditional IT infrastructures.
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What’s Driving The Data Deluge?
Oil Exploration Medical Imaging
Video SurveillanceMobile Sensors Video Rendering
Gene SequencingSmart Grids
Social Media
FACEBOOK UPLOADS300 MILLIONPHOTOS EACH DAY
COST TO SEQUENCE ONE GENOMEHAS FALLEN FROM $100M IN 2001 TO $10K IN 2011
READING SMART METERSEVERY 15 MINUTES IS3000X MOREDATA INTENSIVE
OIL RIGS GENERATE25000DATA POINTS PER SECOND
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Six Provocations of Big Data BIG DATA
Automating Research Changes
the Definition of Knowledge Claims to
Objectivity and
Accuracy are
Misleading
Big Data are Not Always
Bette Data
Not All Data Are
Equivalent
Just Because It’s
Accessible Doesn’t Make
it Ethical
Limited Access Creates
New Digital Divides
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Automating Research Changes the Definition of Knowledge.• Big Data creates a radical shift in how we think about research.• Big Data provides ‘destabilizing amounts of knowledge &
information that lack the regulating force of philosophy.• Big Data is about exactly right now, with no historical context
that is predictive.• Google and other harvesters of Big Data might change the
meaning of learning.
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Claims to Objectivity and Accuracy are Misleading.• Big Data offers the humanistic disciplines a new way to claim
the status of quantitative science.• Makes more social spaces quantifiable.• Big Data is subject to errors and researchers still have biases in
interpretation.• Spectacular errors can emerge when researchers try to build
social science findings into technological systems.
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Big Data are Not Always Better Data.
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Not All Data Are Equivalent
Behavioral Networks
1Personal Networks
Articulated Networks
2 3
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Just Because It’s Accessible Doesn’t Make it Ethical.• What is the status of “public” data on social media sites?• Researchers cannot justify their actions as ethical just because
data is accessible.• Are people who mine and analyze Big Data held to the same
standard as academic researchers?
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Limited Access to Big Data Creates a New Digital
Divide.