Learning about People and Society via Analysis of Large-Scale Data on Human Activities

Monday, 17 February 2014: 9:45 AM-11:15 AM
Grand Ballroom A (Hyatt Regency Chicago)
Large-scale datasets can be used to harvest valuable results and insights about people, society, and the environment. For example, studies of large-scale anonymized mobile phone data have been used to understand patterns of human mobility and to understand the influence of seismic events on a population. In other work, anonymized logs of online search activity have been used to detect interactions among medications, highlighting how such data can be used in pharmocovigilance, and researchers have demonstrated how Twitter feeds can be used to predict the onset of depression in users. This session explores several projects that show how such large-scale, often planetary scale, data can be used as new tools in support of efforts in science and society.
Eric Horvitz, Microsoft Research
James W. Pennebaker, University of Texas
See more of: Behavioral and Social Sciences
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