Recognizing Data Bias (rebroadcast) (DDN3-E14)

Product code: DDN3-E14

Available Session

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February 28, 2023

10:30 am to 12:00 pm (ET)

English, with interpretation in French

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Delivery method

Delivery method




1.5 h



All public servants at all levels



Public servants at all levels are expected to use and leverage the data available to them when making decisions, designing processes, and interacting with clients and stakeholders. However, to do this successfully, they must recognize and understand data biases.

This event builds upon past discussions to further the conversation on how to identify, prevent and correct data bias, while considering privacy, equity, ethics and security at all times. Speakers share concrete tips on how to get the most out of your data, while ensuring that the data is used in a way that benefits all citizens.

This event features a panel comprised of experts in diverse fields of data that is moderated by a Government of Canada senior leader.



Dr. Robyn Rowe, staff scientist at ICES in Ontario and Chair of the Indigenous Data Team, Health Data Research Network Canada

Dr. Rachel Zellars, Assistant Professor, Department of Social Justice and Community Studies, St. Mary's University

John Cheney-Lippold, Associate Professor, Associate Chair, Director of the Undergraduate Studies Program, University of Michigan


Ima Okonny, Chief Data Officer, Employment and Social Development Canada

Date modified: 2022-12-29