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Recognizing Data Bias


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 will 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 and 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

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