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SUMMARY:The Dynamics of Information
DTSTART;VALUE=DATE-TIME:20070612T090000Z
DTEND;VALUE=DATE-TIME:20070612T100000Z
DTSTAMP;VALUE=DATE-TIME:20130619T234727Z
UID:indico-event-a07119@cern.ch
DESCRIPTION:\nThe dynamics of information within organizations is relevant
  to issues\nof productivity\, innovation\, and the sorting out of useful i
 deas from\nthe general chatter of a community. How information spreads and
  is\naggregated determines the speed with which individuals and organizati
 ons\ncan act and plan their future activities.\n\nThis talk will describe 
 mechanisms for automatically identifying\ncommunities of practice within o
 rganizations and for elucidating\nthe spread of information spreads within
  those communities. In addition\,\na new method for forecasting uncertain 
 events using small groups of\npeople will be presented\, along with empiri
 cal results that show its\nefficacy at making predictions in the real worl
 d.\n\nAbout the speaker\n\nBernardo Huberman is a Senior HP Fellow and Dir
 ector of the Information Dynamics Lab at Hewlett Packard Laboratories. He 
 received his Ph.D. in Physics from the University of Pennsylvania\, and is
  currently a Consulting Professor in the Department of Applied Physics at 
 Stanford University. He originally worked in condensed matter physics\, ra
 nging from superionic conductors to two-dimensional superfluids\, and made
  contributions to the theory of critical phenomena in low dimensional syst
 ems. He was one of the discoverers of chaos in a number of physical system
 s\, and also established a number of universal properties in nonlinear dyn
 amical systems. His research into the dynamics of complex structures led t
 o his discovery of ultradiffusion in hierarchical systems.\n\nYou may read
  more about him\nhere\n\nOrganiser(s): \nMiguel Angel Marquina\nComputing 
 Seminars /\nIT Department\n\n\nhttp://indico.cern.ch/conferenceDisplay.py?
 confId=a07119
LOCATION:CERN IT Auditorium
URL:http://indico.cern.ch/conferenceDisplay.py?confId=a07119
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