STS Circle at Harvard
[cid:[email protected]]
David Lazer
Northeastern, Political Science

on

Computational Social Science: The Use of "Big Data" to Study Human Behavior

Monday, September 15
12:15-2:00 pm
Room 100F, Pierce Hall, 29 Oxford Street

[cid:[email protected]]

Lunch is provided if you RSVP.
Please RSVP to via our 
online<https://docs.google.com/forms/d/1HbdY3j1fVcUeE-UqQ7pN5clAxQtaQX7Ux6Y0tRMM9E8/viewform>
 
form<https://docs.google.com/forms/d/1HbdY3j1fVcUeE-UqQ7pN5clAxQtaQX7Ux6Y0tRMM9E8/viewform>
 before Thursday morning, September 11.

Abstract:  What is potential of “big data” in understanding social systems?  
That is, what are the possibilities in repurposing the digital breadcrumbs we 
leave behind into an understanding of human society?  This talk will examine 
the potential of a social science based on big data, but will also discuss the 
major challenges.  The focal example will be Google Flu Trends (GFT), built on 
research published in Nature in 2008, which claimed to accurately “nowcast” flu 
prevalence, but which has been an abject failure the last several years.  The 
likely reasons for its failure point to more systematic challenges for big 
data, and how research on big data needs to be done and organized within the 
academy.

Biography:   David Lazer is Distinguished University Professor of Political 
Science and Computer and Information Science, Northeastern University, 
Co-Director, NULab for Texts, Maps, and Networks. His research focuses on the 
nexus of social networks, computational social science, and collective 
intelligence. He is an Associate Editor for Social Networks and Network 
Science, and a reviewing editor for Science. His research has been published in 
such journals as Science, Proceedings of the National Academy of Science, the 
American Political Science Review, Public Opinion Quarterly, and the 
Administrative Science Quarterly.



A complete list of STS Circle at Harvard events can be found on our website:
http://www.hks.harvard.edu/sts/events/sts_circle/
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