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''Life in the network-- the coming age of computational social science''
 
''Life in the network-- the coming age of computational social science''
  
An increasing fraction of human interactions are digitally captured.  These digital breadcrumbs create enormous opportunities for ground breaking social science.  This talk will discuss what some of the potential opportunities are for developing an improved understanding of collective human behavior, as well the potential barriers to the emergence of a "computational social science."
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An increasing fraction of human interactions are digitally captured.  These digital breadcrumbs create enormous opportunities for ground breaking social science.  This talk will discuss what some of the potential opportunities are for developing an improved understanding of collective human behavior, as well the potential barriers to the emergence of a "computational social science." In particular, the objective of this talk will be to spur discussion regarding how to bridge the gap between various methods for data mining and enhancing social science theory about collective human behavior.

Latest revision as of 18:03, 10 November 2008

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Statistical Inference for Complex Networks Workshop, December 3-5, 2008, Santa Fe NM

Organizers: Aaron Clauset (SFI) and Cris Moore (UNM & SFI)


David Lazer (homepage)

Life in the network-- the coming age of computational social science

An increasing fraction of human interactions are digitally captured. These digital breadcrumbs create enormous opportunities for ground breaking social science. This talk will discuss what some of the potential opportunities are for developing an improved understanding of collective human behavior, as well the potential barriers to the emergence of a "computational social science." In particular, the objective of this talk will be to spur discussion regarding how to bridge the gap between various methods for data mining and enhancing social science theory about collective human behavior.