Inequity Speaker Series

With the Inequity Speaker Series, the Data Sciences Institute aims to feature leading researchers who are using diverse data and data-driven approaches to understanding social inequities and empowering communities. In doing so, we hope to facilitate the exchange of ideas, information, and knowledge among researchers, practitioners, and other professionals, and to enhance educational opportunities for students and trainees.

Inequities can arise from almost any aspect of society, including climate change, the implementation of machine learning, mobile technologies and genomics in health care and daily life, the design and spatial configuration of cities, as well as social and economic policy.  Drawing on the disciplinary strength inequity studies at U of T and recognizing that data-based technologies can potentially increase inequities, the Data Sciences Institute Thematic Program in Inequity encourages the generation of evidence (data and inference) and tools that enhance our understanding of inequity while supporting equitable social change.

  • Seminars are typically held on the last Friday of each month, September to May, from 11:00 am to 12:00 pm ET.
  • For 2022-23, seminars are planned for in-person, with remote options available for those who can only attend virtually.  
No event found!

This series is organized by the Inequity Thematic Program Co-leads:

Angelina Grigoryeva, Assistant Professor Sociology, University of Toronto Scarborough

Arjumand Siddiqi, Professor, Dalla Lana School of Public Health, University of Toronto

Azadeh Yadollahi, Scientist, KITE Toronto Rehabilitation Institute, UHN