"Act that you treat humanity, whether in your own person or in the person of any other, always at the same time as an end, never merely as a means." (Emmanuel Kant)
About
Christo El Morr, PhD, is a Professor of Health Informatics and the Director of the Centre for Feminist Research (CFR) at York University. He is also a Research Scientist at North York General Hospital, Toronto. Additionally, he serves as the Health Informatics Certificate Coordinator and is a former Graduate Program Director and Undergraduate Program Director at the School of Health Policy and Management at York University.
His research aligns with an Equity Informatics perspective, covering areas such as Equity AI (e.g., patient readmission, disability advocacy), Patient-Centered Virtual Care (e.g., chronic disease management, mental health), Global Health Promotion for equity (e.g., equitable health promotion), and Human Rights Monitoring (e.g., disability rights, Gender-Based Violence). As a theologian and poet, his broader intellectual contribution to social justice focuses on defending the human person against alienation, whether through infringements on human freedom or dignity in the face of irrational powers and exploitation. His work encompasses the fight for freedom from oppression (e.g., analysis of exclusive identities, communion and solidarity, freedom, liberation of reason), freedom from exploitation (e.g., analysis of illusions of freedom, political and religious exploitation), and the freedom to celebrate life (e.g., poetry).
He has received research funding from the Ontario Centre of Excellence (OCE), the Canadian Institutes of Health Research (CIHR), and the Social Sciences and Humanities Research Council (SSHRC). He has also served as an expert reviewer for provincial, federal, and international funding agencies. He was recognized as a York University Research Leader.
He has published eight books, along with chapters and articles in these areas, including Canada’s first-of-its-kind Health Informatics book. His works include a co-authored textbook titled Machine Learning for Practical Decision Making (Springer) and an edited book titled AI and Society: Tensions and Opportunities (CRC Press Taylor & Francis).