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.

News

Eleni Straitouri awarded a 2024 Google Fellowship

November 2024

MPI-SWS student Eleni Straitouri, advised by Manuel Gomez Rodriguez, was awarded a 2024 Google PhD Fellowship to fund her doctoral research on on using machine learning to build automated decision support systems that can reliably improve the decisions of human experts.

Mariya Toneva will co-chair CogSci 2024

November 2023

Mariya Toneva has been selected as one of 5 Program Co-Chairs of CogSci 2024, to be held in Rotterdam, July 24–27, 2024.

Systems for LLMs Course at Saarland University

October 2023

MPI-SWS faculty are teaching a course on Systems for LLMs at Saarland University in the Winter 2023/2024 semester.

Mariya Toneva joins MPI-SWS tenure-track faculty

September 2022

Mariya Toneva joins the tenure-track faculty at our institute starting September 2022.

Two faculty win prestigious Google Research Scholar awards

June 2022

Two MPI-SWS faculty, Maria Christakis and Elissa Redmiles, have earned highly competitive Google Research Scholar awards.

All News

Recent projects

Recent software

Disease control

Stochastic Optimal Control of Epidemic Processes in Networks

Fair classification

This repository provides a logistic regression implementation in python for the fair classification mechanisms introduced in Zafar et al., 2017

HDHP

Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm

Memorize

An Algorithm to Enhance Human Learning via Spaced Repetition Optimization

NeVAE

A Deep Generative Model for Molecular Graphs

RedQueen

An Online Algorithm for Smart Broadcasting on Social Networks

TPP-RL

Deep Reinforcement Learning of Marked Temporal Point Processes

People

Faculty

Peter Druschel

Manuel Gomez Rodriguez

Krishna Gummadi

Adish Singla

Mariya Toneva

Research Group Leaders

Nina Grgic-Hlaca

Goran Radanovic

Affiliated Faculty

Elissa Redmiles
(Adjunct Faculty)

Isabel Valera Martinez
(Adjunct Faculty)

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