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

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Jana Diesner is an Associate Professor at the School of Information Sciences (the iSchool) at the University of Illinois at Urbana-Champaign, and an affiliate at the Department of Computer Science, the Illinois Informatics Institute, the Information Trust Institute (ITI), and the Cline Center for Democracy. She is also the director of the LIS PhD program. Jana got her PhD in Computation, Organizations and Society (COS, now Societal Computing) from Carnegie Mellon University’s School of Computer Science. Jana's research is in the areas of Computational Social Science (Social Computing) and Human-Centered Data Science. She integrates and advances methods from Social Network Analysis, Natural Language Processing, and MachineLearning with theories from the social sciences, humanities, and linguistics to answer substantive questions. Using this mixed methods and mixed data perspective, she 1) validates social network theories in contemporary settings, 2) studies consequences of limitations of data provenance and data quality at scale, and 3) assesses the impact of information on people.