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VERSION:2.0
PRODID:-//RLASKEY//CALENDEROUS//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261016T140808Z
LAST-MODIFIED:20140219T215533Z
DTSTART:20140318T193000Z
DTEND:20140318T203000Z
UID:event1160@bu.edu
URL:http://physics.bu.edu/internal/events/show/1160
SUMMARY:The Age of Networks
DESCRIPTION:Featuring Jennifer Chayes\, Microsoft Research New England\nHos
	ted by: David Campbell\nPoster: http://physics.bu.edu/posters/2014_Spring/0
	318_Chayes.pdf\n\nPart of the Physics Department Colloquia Series.\n\nAbstr
	act:  Everywhere we turn these days\, we find that networks can be used to 
	describe relevant interactions.  In the high tech world\, we see the Intern
	et\, the World Wide Web\, mobile phone networks\, and a variety of online s
	ocial networks.  In economics\, we are increasingly experiencing both the p
	ositive and negative effects of a global networked economy.  In epidemiolog
	y\, we find disease spreading over our ever growing social networks\, compl
	icated by mutation of the disease agents. In problems of world health\, dis
	tribution of limited resources\, such as water resources\, quickly becomes 
	a problem of finding the optimal network for resource allocation.  In biome
	dical research\, we are beginning to understand the structure of gene regul
	atory networks\, with the prospect of using this understanding to manage th
	e many human diseases.  In this talk\, I look quite generally at some of th
	e models we are using to describe these networks\, processes we are studyin
	g on the networks\, algorithms we have devised for the networks\, and final
	ly\, methods we are developing to indirectly infer network structure from m
	easured data.  In particular\, I will discuss models and techniques which c
	ut across many disciplinary boundaries.
LOCATION:SCI 109\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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