Responsible DS + AI Speaker Series: Ryan Baker, University of Pennsylvania

Ryan Baker seminar

Ryan Baker, associate professor in the Graduate School of Education at the University of Pennsylvania, will present "Algorithmic Bias in Education: From Unknown Bias to Known Bias to Fairness to Equity."

Ryan Baker is an associate professor at the University of Pennsylvania and director of the Penn Center for Learning Analytics. His lab conducts research on engagement and robust learning within online and blended learning, seeking to find actionable indicators that can be used today but which predict future student outcomes. Baker has developed models that can automatically detect student engagement in over a dozen online learning environments, and has led the development of an observational protocol and app for field observation of student engagement that has been used by over 150 researchers in 7 countries. Predictive analytics models he helped develop have been used to benefit over a million students, over a hundred thousand people have taken MOOCs he ran, and he has coordinated longitudinal studies that spanned over a decade. He was the founding president of the International Educational Data Mining Society, is currently serving as Editor of the journal Computer-Based Learning in Context, is Associate Editor of the Journal of Educational Data Mining, was the first technical director of the Pittsburgh Science of Learning Center DataShop, and currently serves as Co-Director of the MOOC Replication Framework (MORF). Baker has co-authored published papers with over 400 colleagues.

Selected publications:

Baker, R. S., & Hawn, A. (2021). Algorithmic Bias in Education. edarXiv manuscript PBMVZ.

Paquette, L., Ocumpaugh, J., Li, Z., Andres, J.M.A.L., Baker, R.S. (2020) Who's Learning? Using Demographics in EDM Research. Journal of Educational Data Mining, 12 (3), 1-30.

Join via Zoom
Meeting ID: 849 7823 8438
Password: 719146

Questions? Contact Janet Eke

The Responsible Data Science and AI Speaker Series discusses topics such as explainability, reproducibility, biases, data curation and governance, and privacy.  The series is co-organized by Associate Professor Jana Diesner and Assistant Professor Nigel Bosch at the iSchool at Illinois and hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS). 

This event is sponsored by Center for Informatics Research in Science and Scholarship