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

  • Apr 9, 2020: Congrats to Shadi Rezapour who successfully defended her PhD proposal, "Text Mining for Social Good: Context-aware Measurement of Social Impact and Effects Using Natural Language Processing".
  • Hiring: Postdoctoral Research Associate -- Please submit your applications by April 7th, 2020 (11:55pm AoE).
  • With LREC being cancelled, the organizers of the "2nd Workshop on Computational Impact Detection from Text Data" will organize the workshop at a later date in person.
  • Feb 28, 2020: Jana giving an invited talk at the Data Quality Challenge Conference, Hannover, Germany

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