Welcome to the
Human-Centered Data Science Lab!


About Us

We are a group of researchers at the University of Toronto in Ontario, Canada. Our lab is located at the iSchool (Faculty of Information) on the St. George campus.

We study the intersection of human society and algorithmic systems. Our interest lies in developing methodology that integrates technical computational methods with critical interpretive inquiry.

Current Projects

Human-AI Interactions for Housing Support

Applying mixed methods to understand, design, and inform policy when introducing AI systems to high-stakes public sector domains. Examining how human-AI interactions play out in Canada’s homelessness support systems, which are often subject to severe housing supply challenges.

Human-Centered Data Science in Healthcare

Creating predictive algorithms to assist with healthcare decision-making, in partnership with Parkview Health and CIFAR. Examining how human-centered models can integrate theoretical, speculative, and participatory understandings of sociotechnical contexts.

  • Financial technologies
  • Community-collaborative design
  • CivicTech
  • Participatory design & co-design

Algorithmic Decision-Making in Higher Education

Examining the use of AI for decision-making in Higher Education, with a focus on algorithmic prediction of student success and engagement. Employing mixed-methods to analyze systems currently in use and explore techniques to increase fairness, transparency, and accountability.

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