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<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Disaggregated_data:_Equity.2C_diversity_and_inclusion Disaggregated data: Equity, diversity, and inclusion)]</strong></p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Disaggregated_data:_Equity.2C_diversity_and_inclusion Disaggregated data: Equity, diversity, and inclusion)]</strong></p>
 
<p style="margin-bottom:20px;">Follow: [https://twitter.com/ShaidaBadiee Twitter] | [https://www.linkedin.com/in/shaida-badiee-28433937 LinkedIn] | [https://opendatawatch.com Open Data Watch]</p>
 
<p style="margin-bottom:20px;">Follow: [https://twitter.com/ShaidaBadiee Twitter] | [https://www.linkedin.com/in/shaida-badiee-28433937 LinkedIn] | [https://opendatawatch.com Open Data Watch]</p>
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[[Image:Lynn Barr-Telford.JPG|150px|Lynn Barr-Telford]]
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<h3>Lynn Barr-Telford</h3>
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<p class="jobtitle">Assistant Chief Statistician, Social, Health and Labour Statistics, Statistics Canada</p>
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<p>Lynn Barr-Telford is the Assistant Chief Statistician of the Social, Health and Labour Statistics Field at Statistics Canada.  Lynn holds a Master’s Degree in Sociology from Carleton University and has several years of experience as a senior Executive with responsibility for large, complex statistical programs. The Social, Health and Labour Statistics Field provides accurate, timely and relevant information across a range of social subject matters to decision makers at all levels of government, to non-governmental organizations, to researchers and to the Canadian public. The portfolio includes a number of large survey and administrative data programs such as the Centre for Population Health Data; the Canadian Centre for Justice Statistics; the Centre for Gender, Diversity and Inclusion; and the Centre for Labour Market Information, among others.  The Field is also the home for Canadian Census content expertise.</p>
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<p>Participating in <strong>[https://link.com Session name]</strong></p>
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<br><!--<p style="margin-bottom:20px;">Follow: [https://link.com Twitter] | [https://link.com LinkedIn] | [https://link.com Website]</p>-->
    
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