Using Data to Understand Racial Health Inequities: Considering the motivations, challenges, and skepticism
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This substantive session explores the role of data in fighting and dismantling racial health inequities. We will focus on how when collected and used in accordance with best practices, race-based data in health can be used to dismantle structural racism, and the grave consequences when not. We will also explore how the relationship between race and health varies as a function of the societal context.
Agenda
12:00-12:05 PMÌýWelcome & Introductions
12:05-12:45 PMÌýLecture
12:45-12:55 PMÌýModerated Q&A
12:55-1:00 PMÌýClosing and upcoming sessions
Featured Speaker
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is a Social Epidemiologist. She is Professor and Division Head of Epidemiology at the Dalla Lana School of Public Health, University of Toronto, where she holds the Canada Research Chair in Population Health Equity. She also holds cross appointments in Public Policy and Sociology at the University of Toronto, as well as an adjunct appointment at the Gillings School of Global Public Health, University of North Carolina – Chapel Hill. Dr. Siddiqi’s research centers on understanding why health inequalities are so pervasive and persistent, and what can be done about this, with an emphasis on the role of societal conditions (policy, politics, economy, and so on). In recent years, she has focused on (a) evaluating of the impact of specific social policies on population health and health inequalities, (b) examining the causes of contemporary trends in population health and health inequalities, (e.g., the recent, unusual decline in life expectancy in the liberal welfare states; the widening of racial and socioeconomic health inequalities in many societies; the social distribution of the COVID-19 pandemic) and, (c) reflections on concepts and methods used in health inequalities research. Dr. Siddiqi also engages with governmental and non-governmental entities, including the Government of Ontario, the Government of Canada, and the World Health Organization. Ìý |
Lunch&Learn
This is the third Lunch&Learn session of the 2021-22 Training Year. The Lunch&Learn series is designed to introduce our Fellows, team members, and partners to emerging research in topics of population dynamics and population aging. These modules will cover the Four CAnD3 Population Aging Axes: (1) family and social inclusion; (2) education, labour and inequality; (3) migration and ethnicity; and (4) wellbeing and autonomy.Ìý
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