I am an Assistant Professor at the iSchool at the University of Illinois at Urbana-Champaign (UIUC). I am holding a PhD from the Computation, Organizations and Society (COS) program (now Societal Computing) at Carnegie Mellon University’s School of Computer Science.
In my group, we conduct fundamental, empirical and applied research at the nexus of human-centered data science, network analysis, natural language processing, machine learning and computational social science. My research agenda is driven by my belief that progress in data science requires interdisciplinary and mixed methods approaches to enable the joint consideration of the structure and content of social interactions, and to assess the impact of data provenance on research outcomes and of information products on social agents. We develop computational solutions that are grounded in theories from the social sciences, humanities and linguistics, and bring these solutions into different application contexts to test their generalizability and advance theory.
News and Highlights from our lab
- Symposium talk: Dr. Diesner presents "Impact Assessment of Information Products and Data Provenance" at Cultural Analytics 2017, University of Notre Dame, May 26, 2017.
- Workshop talk: Dr. Diesner is a guest speaker of the workshop "Re-Computing Social Sciences: What have we learned after a decade?", UC Davis, May 19, 2017
- New journal paper: Kim J, Diesner J: Less than expected: Over-time measurement of triadic closure in scientific collaboration networks, accepted for publication in Journal for Social Network Analysis and Mining (SNAM).
- ACM CSCW 2017 paper: Rezapour R, Diesner J (2017) Classification and Detection of Micro-Level Impact of Issue-Focused Films based on Reviews.