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.


Three MPI-SWS papers accepted at NeurIPS 2019

September 2019
Three MPI-SWS papers have been accepted to NeurIPS 2019, the flagship conference in machine learning

MPI-SWS researchers receive Microsoft Research PhD Scholarship

September 2019
Researchers from the Machine Teaching Group at MPI-SWS have won a Microsoft Research PhD Scholarship...

Goran Radanovic joins MPI-SWS

September 2019
Goran Radanovic has joined the institute as a research group leader. His research investigates the design and analysis of systems with intelligent and self-interested agents.

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.


Iterative Classroom Teaching.

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