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.


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).

Four MPI-SWS papers accepted at AAAI 2018

February 2018
The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018) takes place February 2-7 in New Orleans, Louisiana, USA