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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Directions in Big Data Anonymisation - Josep Domin
go-Ferrer (Universitat Rovira i Virgili )
DTSTART;TZID=Europe/London:20161205T144000
DTEND;TZID=Europe/London:20161205T151000
UID:TALK69314AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/69314
DESCRIPTION:The explosion of big data opens such huge analytic
al and inferential possibilities that they may all
ow modeling the world and predicting its evolution
with great accuracy. The dark side of such data
abundance is that it complicates the preservation
of individual privacy: big data largely feed on th
e digital trace of our activities. Facing the tens
ion between big data and privacy\, we find two ext
reme positions that strive for hegemony: on the on
e side\, the nihilists claim that it is delirious
to try to maintain one'\;s privacy in the big d
ata world\, and that the best we can hope for is t
hat our data are not misused (if this means anythi
ng)\; on the other hand\, the fundamentalists prop
ose privacy protection methods so drastic that the
ir application would destroy nearly all the analyt
ical interest of big data. We will survey these e
xtreme positions and we will describe a midway pat
h\, which we believe more balanced and desirable.
This path is based on identifying the utility and
privacy requirements of big data and trying to sa
tisfy them through an evolution of the statistical
disclosure control methods developed in the last
40 years. We will also briefly touch on transpare
nt\, local and collaborative anonymization as ways
to reduce the power of the data controller in fro
nt of individual subjects.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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