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SUMMARY:Using big data to rethink the way we study social determinants of 
 health - Dr. Alex Kogan ( Department of Psychology\, University of Cambrid
 ge)
DTSTART:20141210T140000Z
DTEND:20141210T150000Z
UID:TALK56531@talks.cam.ac.uk
CONTACT:38510
DESCRIPTION:Classic approaches to measurement of psychological traits and 
 many health outcomes have relied on the tried and true methods of self-rep
 ort. However\, self-report by its definition requires people to actively r
 espond to surveys\, which imposes a big time and monetary cost for recruit
 ment of large samples. Furthermore\, its exceedingly difficult to ever exa
 mine how people's social environments--especially micro-level social envir
 onments--affect them since measuring the traits and values of the people i
 n one's social network has been near impossible. Recent advances in big da
 ta analytics\, however\, are changing this. In this talk\, I will discuss 
 new data from my lab on 30 million Americans\, how we can make predictions
  about their health\, and then study the way their social environment impa
 cts these health outcomes. The talk will also include an overview of how b
 ig data analytics can be done by behavioural and social scientists interes
 ted in applying these methods. 
LOCATION:Strangeways Research Laboratory
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