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

  • 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.
  • Mar 6, 2020: We are at WiDS Urbana-Champaign 2020. The UIUC ACM-Women student chapter, with their chair Shadi Rezapour, co-organized a student poster session. Ly Dinh served on the poster session program committee. Jana chairs a panel on "Creating Meaningful Impact: Opportunities for Women in the Data Science Revolution". Lan Jiang, Ly Dinh, Shadi Rezapour, Tiffany Lu, Nikolaus Parulian, Janina Sarol, Pingjing Yang, and Xiujia Yang will present their research at the student poster session
  • Feb 28, 2020: Jana giving an invited talk at the Data Quality Challenge Conference, Hannover, Germany