Computational models and big data in the study of human social systems

May 20 2014
11.45am, room 250 (Main Building, Lugano Campus)
Dr. Jukka-Pekka Onnela, Harvard Univesity

 
The ubiquity of digital sensors and online platforms provide unprecedented opportunities to observe and instrument human behavior. We can now relatively easily collect data on individual-level behaviors and on interactions involving many individuals. I will talk about our work that has been driven by the availability of these types of empirical datasets, and how they have enabled us to develop simple computational models that help bridge individual behavior and collective outcomes.

About the Speaker
 
JP Onnela is an Assistant Professor in the Department of Biostatistics at the Harvard School of Public Health. He is interested in a broad range of theoretical and applied problems in network science. His current research focuses on statistical and mathematical analysis and modeling of social and biological networks and their connection to human health; development of metrics and methods for network analysis; and online social systems and social media. Before joining Biostatistics, he spent two years as a Postdoctoral Fellow at Harvard Medical School and before that one year as a Fulbright Visiting Scholar at the Harvard Kennedy School. He held a Junior Research Fellowship at Oxford University from 2006 to 2008 after obtaining his doctorate at the Helsinki University of Technology in 2006. Additional information on Dr. Onnela may be found here: http://www.hsph.harvard.edu/jukka-pekka-onnela/