In the Social Computing Lab, we integrate methods from network analysis, natural language processing, and machine learning/ AI with theories from the social sciences to advance knowledge and discovery about interaction-based and communication-based social systems. The lab is directed by Jana Diesner (CV) (bio).
- Spring 2023: "Knowledge graphs and semantic computing" speaker series
- New paper wins the best paper award at iConference 2023: Hu, Y., Layne-Worthey, G., Martaus, E., Stephen, J.S., & Diesner, J. (2023) Research with User-Generated Book Review Data: Legal and Ethical Pitfalls and Contextualized Mitigation, iConference, Barcelona, Spain.
- New paper: Han, K., Rezapour, R., Nakamura, K., Devkota, D., Miller, D., & Diesner, J. (2022). An expert‐in‐the‐loop method for domain‐specific document categorization based on small training data. JASIST.
- New collaborative grant for "Geospatial Variability of Illicit Opioid Use and Disparities in Treatment Resources"
- New collaborative grant for "Establishing a Templeton LSST Early-Career Research Fellowship"