Integrating methods from network analysis, natural language processing, and machine learning with theories from the social sciences to advance knowledge and discovery about interaction-based and communication-based social systems
Jana Diesner

I am an Associate Professor at the School of Information Sciences (the iSchool) at the University of Illinois at Urbana-Champaign, where I lead the Social Computing lab. We focus on Human-Centered Data Science, Social Computing/ Computational Social Science, and Responsible Computing. We integrate and advance methods from network science, natural language processing and machine learning with theories from the social sciences and humanities to study interaction-based and information-based systems. Currently, we are working on projects related to 1) studying consequences of biases in data, technology and human decision making, 2) validating classic social science theories in contemporary settings, 3) impact assessment, 4) crisis informatics, and 5) data governance/ FATE (fairness, accountability, transparency, ethics). I got my PhD from Carnegie Mellon, School of Computer Science.

News from our lab

  • Call for papers: 2nd Workshop on Computational Impact Detection from Text Data @ LREC 2020; due: February 29th, 2020
  • Call for posters: 2020 Women in Data Science Urbana-Champaign; due: January 30th, 2020
  • Dec 9-11, 2019: Jana giving an invited talk at the Bulletproof Hosting and Botnet Attacks Conference in German Armed Forces Command and Staff College, Hamburg, Germany