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Collecting and Using Disaggregated Data


The analysis of disaggregated user data is a key factor in making informed decisions regarding the design and delivery of federal policies and programs. In doing so, departments and agencies can leverage this disaggregated data to reveal trends, patterns, and inequalities between diverse groups sorted by attributes such as gender, region, ethnicity, and countless others. However, standards for data collection and analysis are still evolving.

This informative event will explore how to responsibly collect and use disaggregated data to better understand how Canadians engage with government policies, programs and initiatives. The event will also highlight the ways in which evidence-based and behaviourally informed insights can help to promote and improve fairness and inclusivity.

Participants will learn from guest experts who will discuss the practical and applied uses of disaggregated data, strategies for gathering and using disaggregated data, as well as how it ties into Gender-based Analysis Plus.


  • Lisa Smylie, Assistant Deputy Minister, Communications and Public Affairs, Indigenous Services Canada
  • Samantha McDonald, Director of Operations, Impact and Innovation Unit, Privy Council Office
  • Tony Labillois, Director General, Justice, Diversity and Population Statistics Branch, Social, Health and Labour Statistics Field, Statistics Canada


Nathalie Laviades-Jodouin, Vice-President of the Public Sector Operations and Inclusion Branch, Canada School of Public Service

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