Responsible AI and Data: Ethics, Bias, & Equity. Examining bias from suppressed variables in home health data: Advancing responsible and equitable AI
Recommended Citation
Wittmeyer S. Responsible AI and Data: Ethics, Bias, & Equity. Examining bias from suppressed variables in home health data: Advancing responsible and equitable AI. Fall 2026.
Grant Information
As part of the Northwestern Mutual Data Sciences Institute Student Scholars Program, a $2500 grant proposal was accepted and funded for Fall 2026. This is part of a PhD in nursing program at Marquette University College of Nursing. Faculty sponsor: Lisa Grabert, PhD Research Professor, Marquette University College of Nursing.
Document Type
Grant