Social & Information Systems

Social computing research at MPI-SWS focuses on developing computational methods for processing and analyzing large-scale social data, aiming to uncover complex social behavior and to inform the design of human-centered and socially aware systems. Recent research includes understanding the structure of social networks and how information, ideas, and influence disseminate over social links, finding relevant and trustworthy sources of information in crowds, and developing frameworks for tracking the relation between a user and its community.


Krishna Gummadi appointed MPI-SWS Director

May 2019
Krishna Gummadi has been newly appointed as a director of the MPI for Software Systems, effective 1 June 2019.

Junior Research Group leader positions at MPI-SWS

April 2019
MPI-SWS is inviting applications for Junior Research Group leader positions in SysML, human-oriented machine learning, adversarial ML, reinforcement learning, HCI with ML/social aspects, natural language processing, and learning & cognitive sciences.

MPI-SWS article published in the Proceedings of Academy of Sciences (PNAS)

January 2019
The Proceedings of Academy of Sciences (PNAS) is a very prestigious journal with a very high impact factor (9.5).

Krishna Gummadi and Alan Mislove awarded a Facebook "Secure the Internet" grant

October 2018
MPI-SWS faculty member Krishna Gummadi and MPI-SWS alumnus Alan Mislove have been awarded a $60,000 "Secure the Internet" grant by Facebook.

Five MPI-SWS papers accepted at NIPS 2018

October 2018
The 32nd Conference on Neural Information Processing Systems (NIPS 2018) takes place December 2-8 in Montreal (Canada).


Iterative Classroom Teaching.

Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher.
AAAI 2019.



Postdoctoral Researchers

Doctoral Students

Former members