Research

Sabina Tomkins joined UMSI as assistant professor in Fall 2021. Her research applies computational methods to advance understanding in policy relevant domains. Her methods interests include responsible AI, survey design, and causal inference, and she currently works in the domains of computational sustainability, political science, and education policy.

Selected Publications

Please also see Sabina Tomkins’s Curriculum Vitae (CV).
Tomkins, S., Ramesh, A. and L. Getoor, Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study. (2016) International Educational Data Mining Society.
M Schweinsberg, M Feldman, N Staub, et al., Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis (2021)OrganizationalBehavior and Human Decision Processes 165, 228-249.
Tomkins, S., Isley, S., London, B. and L. Getoor, Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations (2018), Proceedings of the 12th ACM conference on recommender systems, 214-218
Tomkins, S., Getoor, L., Chen, Y. and Y. Zhang, A socio-linguistic model for cyberbullying detection (2018) 2018 IEEE/ACM International Conference on Advances in Social Networks
Akkiraju, RKT, Bhuiyan, M., Gundecha, P.S. et al., Recommending a dialog act using model-based textual analysis (2019) US Patent 10,360,908
Tomkins, S., Liao, P., Klasnja, P. and S. Murphy, Intelligentpooling: Practical thompson sampling for mhealth (2021) Machine learning 110 (9), 2685-2727