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

  • Nov 11: CSCW '19 poster by Rezapour R et al.: How do Moral Values Differ in Tweets on Social Movements?
  • Nov 3-7: EMNLP-IJCNLP '19 paper by Jiang M et al.: TIGEr: Text-to-Image Grounding for Image Caption Evaluation
  • Oct 30: Jana's team giving poster presentations at iSchool Research Showcase 2019
  • Aug 24: Congrats to Shadi Rezapour who got accepted as a mentor for the Undergraduate Research Apprenticeship Program @ Illinois (URAP@Illinois)
  • Aug 22: Congrats to Garrick Sherman who successfully defended his PhD thesis, ‚ÄúDocument expansion and language model re-estimation for information retrieval"