About this Event
Professor Dustin Duncan, from the Department of Epidemiology and Co-Director of the Social and Spatial Epidemiology Unit, at Columbia University, joins the Data Sciences Institute as part of our Inequity Thematic Program. The Inequity Thematic Program encourages the generation of evidence (data and inference) and tools that enhance our understanding of inequity while supporting equitable social change.
Talk Title : Data-Driven Approaches to Studying Neighborhoods and Health Inequalities
Description: The field of neighborhoods and health (sometimes referred to as spatial epidemiology) has grown exponentially in the last twenty years, especially since the publication of the first edition of Neighborhoods and Health edited by Ichiro Kawachi and Lisa Berkman in 2003. There is a large literature on the influence of neighborhoods on health to date. Indeed, many reviews and technical reports of accumulated neighborhoods and health research have been conducted. This talk will provide an overview on the range of established and emerging quantitative methods used in neighborhoods and health research, including emerging methodological approaches deriving measures of neighborhood environments from postings on social media platforms and crowd-sourced web-based data. These data-driven approach to studying neighborhoods and health will be applied to health inequalities research.
- Date: Friday, January 27, 2022
- Time: 11 am – 12 pm
- Format: Hybrid ( In-person & Virtual)
Event Venue & Nearby Stays
Ontario Power Generation Building - University of Toronto - Data Sciences Institute, Room 9014, 9th Floor, 700 University Avenue, Toronto, Canada
USD 0.00