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
- New conference presentation: Yang P., Sarol, J., Dinh, L., & Diesner, J. (2021). Reliable relation extraction for social network construction. Presented at NASN2021.
- New confrence paper: Jiang, L., Dinh, L., Rezapour, R., & Diesner, J. (2020). Which groups do you belong to? Sentiment-based PageRank to measure formal and informal influence in social networks. Presented at COMPLEX NETWORKS 2020.
- New workshop paper: Han, K., Rezapour, R., Nakamura, K.S., Devkota, D., Miller, D.C., & Diesner, J. (2020). Domain-knowledge-based classification of biodiversity conservation actions based on project reports. Presented at METRICS 2020 at ASIS&T.
- New journal paper: Aref, S.*, Dinh, L.*, Rezapour, R.*, & Diesner, J. (2020). Multilevel structural evaluation of signed directed social networks based on balance theory. Scientific Reports 10, 15228. (*Authors contributed equally)
- New journal paper: Parulian, N., Lu, T., Mishra, S., Avram, M., & Diesner, J. (2020). Effectiveness of the execution and prevention of metric-based adversarial attacks on social network data. Information, 11(6), 306.