3rd GESIS Computational Social Science
Winter Symposium 2016

Understanding social systems via computational approaches and new kinds of data

November 30 - December 1, 2016 at KOMED im MediaPark, Cologne, Germany

Schedule

Registration is closed

Do you have questions or need help? Contact us: css.wintersymposium(at)gesis(dot)org

Kontakt

Based on the success of first two events in 2014 and 2015 we have decided to continue to organize a follow-up event: we are delighted to announce that the 3rd CSS Winter Symposium will take place in Cologne on November 30th and December 1st, 2016.

The CSS Winter Symposium 2016 will be a two-day event consisting of:

an exciting program featuring a series of invited talks that will provide different perspectives on current advances and limitations of computational social science,

an open call for contributed posters and presentations that will provide opportunities for computational social scientists to present and discuss their own work,

plenty of possibilities for interdisciplinary networking including an evening event at the famous Cologne Christmas markets [how to get there].

Confirmed invited speakers:
	Noshir Contractor (Northwestern University) Leveraging Computational Social Science to Address Grand Societal Challenges Abstract / Slides (15.42 MB)
	Tina Eliassi-Rad (Network Science, Institute College of Computer and Information Science, Northeastern University) The Reasonable Effectiveness of Roles in Complex Networks Abstract / Slides (13.56 MB)
	Marko Grobelnik (Artificial Intelligence Laboratory, Jožef Stefan Institute) Cross-lingual Global Media Monitoring Abstract / Slides (6.57 MB)
	Krishna Gummadi (Networked Systems Research Group, Max Planck Institute for Software Systems) Discrimination in Human vs. Algorithmic Decision Making Abstract / Slides (1.01 MB)
	Petter Holme (Department of Energy Science, Sungkyunkwan University) Temporal Networks of Human Interaction Abstract / Slides (7.25 MB)
	Helen Margetts (Oxford Internet Institute, University of Oxford) The Computational Social Science of Turbulent Politics Abstract / Slides (3.10 MB)