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.


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

Three MPI-SWS papers accepted at WWW 2018

February 2018
The Web Conference (aka WWW 2018) takes place April 23-27 in Lyon (France)

Research Spotlight: Teaching machine learning algorithms to be fair

December 2017
MPI-SWS researchers are creating an expanding set of techniques to ensure that machine learning algorithms are fair, accountable, and interpretable.

MPI-SWS paper accepted into WSDM '18

November 2017
A paper from MPI-SWS has been accepted at WSDM '18, one of the flagship conferences in data mining.

MPI-SWS paper accepted into NIPS '17

September 2017
A paper from MPI-SWS has been accepted to NIPS 2017, the flagship conference in machine learning.