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<p style="text-align:right; padding: 10px; margin-top: -10px; width:1130px"><strong><strong>[https://wiki.gccollab.ca/Conférence_sur_les_données_2022_-_Conférenciers Français]</strong></strong></p>
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<p style="text-align:left; padding: 10px; margin-top: -10px; width:1130px"><strong><strong>[https://wiki.gccollab.ca/Conférence_sur_les_données_2022_-_Conférenciers Français]</strong></strong></p>
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<p class="button"><strong>[https://wiki.gccollab.ca/GC_Data_Conference_2023 ➡ View the 2023 GC Data Conference]</strong></p>
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[[Image:DataCon2022-Banner-EN.png |100%|Data Conference 2022: Driving Data Value and Insights for All Canadians, 23 + 24 February 2022]]
 
[[Image:DataCon2022-Banner-EN.png |100%|Data Conference 2022: Driving Data Value and Insights for All Canadians, 23 + 24 February 2022]]
 
<p style="background-color: #f18f34; padding: 5px; margin-top: -10px; width:1130px""><small>
 
<p style="background-color: #f18f34; padding: 5px; margin-top: -10px; width:1130px""><small>
<strong>[https://www.csps-efpc.gc.ca/events/data-conference2022/index-eng.aspx Register now]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
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<strong>[https://vexpodev.z9.web.core.windows.net/en/#/2203/lobby Virtual Expo]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
<!--<p>[https://expo.da-an.ca Virtual Expo]&nbsp;&nbsp;|&nbsp;&nbsp;</p>-->
   
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Agenda]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Agenda]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Speakers CONFERENCE SPEAKERS]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Speakers CONFERENCE SPEAKERS]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Networking_Missions Networking Missions]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Networking_Missions Networking Missions]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Discover_more_about_data Discover more about data]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Discover_more_about_data Discover more about data]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
<!--<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Announcements Announcements]</strong>-->
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<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Announcements Announcements]</strong>
 
</small></p>
 
</small></p>
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<p style="margin-bottom:20px;">Follow: [https://twitter.com/pdesrochers @pdesrochers on Twitter] | [http://ca.linkedin.com/pub/pierre-desrochers/7/b10/199 on LinkedIn]</p>
 
<p style="margin-bottom:20px;">Follow: [https://twitter.com/pdesrochers @pdesrochers on Twitter] | [http://ca.linkedin.com/pub/pierre-desrochers/7/b10/199 on LinkedIn]</p>
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[[Image:Tom_Dufour.jpg|150x150px|Tom Dufour]]
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[[Image:Tom_Dufour.jpg|150px|Tom Dufour]]
 
<h3>Tom Dufour</h3>
 
<h3>Tom Dufour</h3>
 
<p class="jobtitle">Director General, Strategic Data Management Branch, Statistics Canada</p>
 
<p class="jobtitle">Director General, Strategic Data Management Branch, Statistics Canada</p>
 
<p>Tom Dufour is Director General for Statistics Canada’s Strategic Data Management Branch, home of the Office of the Chief Data Officer, where he brings together experts in data standards and stewardship, statistical infrastructure and geomatics and privacy management to support initiatives across the Agency and with key government partners. He has helped drive advancements in program areas at Statistics Canada for over 30 years ranging from social statistics to macroeconomics.</p>
 
<p>Tom Dufour is Director General for Statistics Canada’s Strategic Data Management Branch, home of the Office of the Chief Data Officer, where he brings together experts in data standards and stewardship, statistical infrastructure and geomatics and privacy management to support initiatives across the Agency and with key government partners. He has helped drive advancements in program areas at Statistics Canada for over 30 years ranging from social statistics to macroeconomics.</p>
 
<p><strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Emcee for Data Conference 2022]</strong></p>
 
<p><strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Emcee for Data Conference 2022]</strong></p>
 
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<br>
<!--[[Image:Wassim El-Kass.jpg|150px|Wassim El-Kass]]
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<br>
<h3>Wassim El-Kass</h3>
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<br>
<p class="jobtitle">Assistant Director, Immigration, Refugees and Citizenship Canada</p>
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<p>Wassim El-Kass is an Assistant Director at Immigration, Refugees and Citizenship Canada (IRCC) where he leads a team of Data Scientists to develop innovative and responsible Artificial Intelligence solutions. He holds a PhD in Information Science and Technology from the University of Quebec in Outaouais. Wassim has over 25 years of work and teaching experience in software development, advanced analytics, and project management. He worked for 15 years in the private sector before joining the public sector in 2011. He is so passionate about information and knowledge extraction from structured and unstructured data to solve real business problems and improve services. </p>
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<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Artificial_Intelligence-driven_service_delivery_for_Canadians Artificial Intelligence-driven service delivery for Canadians]</strong></p>
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<p style="margin-bottom:20px;">Follow: [https://www.linkedin.com/in/wassime/ on LinkedIn]</p>-->
      
[[Image:Sevgui_Erman_Headshot.jpg|150px|Sevgui Erman]]
 
[[Image:Sevgui_Erman_Headshot.jpg|150px|Sevgui Erman]]
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<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Data_literacy Data literacy]</strong></p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Data_literacy Data literacy]</strong></p>
 
<p style="margin-bottom:20px;">Follow : [https://twitter.com/vloganinfo Twitter] | [https://www.linkedin.com/in/valerielogan/ on LinkedIn] | [https://www.thedatalodge.com/ The Data Lodge]</p>
 
<p style="margin-bottom:20px;">Follow : [https://twitter.com/vloganinfo Twitter] | [https://www.linkedin.com/in/valerielogan/ on LinkedIn] | [https://www.thedatalodge.com/ The Data Lodge]</p>
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[[Image:NewDC20222-AndreLoranger.jpg|150px|André Loranger ]]
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<h3>André Loranger</h3>
 +
<p class="jobtitle">Assistant Chief Statistician, Statistics Canada</p>
 +
<p>André Loranger is currently the Assistant Chief Statistician for Strategic Data Management, Methods and Analysis.  He is also Statistics Canada’s Chief Data Officer responsible for the overall stewardship of the organization’s information data holdings. 
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André, an economist with an M.A. (Economics) degree from the University of Ottawa, began his career in the public service at Statistics Canada in 1997 where he spent most of his career compiling estimates of GDP.  Prior to his current position, André was the Director of Producer Prices Division from 2008 to 2012 and the Director General of the Macroeconomic Statistics Branch from 2012 to June 2013.  More recently, he was the Assistant Chief Statistician for Economic Statistics responsible for the key economic indicators (CPI, GDP, etc.) produced by Statistics Canada.
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In recent years, André has been involved in international projects related to economic statistics.  He was a member of the United Nations Committee of Experts on Environmental-Economic Accounting, the United Nations Expert Group on International Trade and Economic Globalization Statistics, the United Nations Expert Group on the Future of Economic Statistics and a number of international statistical working groups.  André is currently a member of the United Nations Global Working Group on Big Data. </p>
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<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#4:30_to_5:00_pm_-_Summary Conference Summary]</strong></p>
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<br>
    
[[Image:Catherine-Luelo.jpg|150px|Catherine Luelo]]
 
[[Image:Catherine-Luelo.jpg|150px|Catherine Luelo]]
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<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Artificial_Intelligence-driven_service_delivery_for_Canadians Artificial Intelligence-driven service delivery for Canadians]</strong></p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Artificial_Intelligence-driven_service_delivery_for_Canadians Artificial Intelligence-driven service delivery for Canadians]</strong></p>
 
<p style="margin-bottom:20px;">Follow: [https://www.linkedin.com/in/saeid-molladavoudi on LinkedIn]</p>
 
<p style="margin-bottom:20px;">Follow: [https://www.linkedin.com/in/saeid-molladavoudi on LinkedIn]</p>
<br>
      
[[Image:Ima_Okonny_Photo_-_CDO.jpg|150px|Ima Okonny]]
 
[[Image:Ima_Okonny_Photo_-_CDO.jpg|150px|Ima Okonny]]
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<p>Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, mathematics, and biostatistics & bioinformatics at Duke University. She directs the Interpretable Machine Learning Lab, whose goal is to design predictive models with reasoning processes that are understandable to humans. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (the “Nobel Prize of AI”). She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the Association for the Advancement of Artificial Intelligence. Her work has been featured in many news outlets including the NY Times, Washington Post, Wall Street Journal, and Boston Globe.</p>
 
<p>Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, mathematics, and biostatistics & bioinformatics at Duke University. She directs the Interpretable Machine Learning Lab, whose goal is to design predictive models with reasoning processes that are understandable to humans. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (the “Nobel Prize of AI”). She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the Association for the Advancement of Artificial Intelligence. Her work has been featured in many news outlets including the NY Times, Washington Post, Wall Street Journal, and Boston Globe.</p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Building_the_future_with_responsible_AI Building the future with responsible AI]</strong></p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Building_the_future_with_responsible_AI Building the future with responsible AI]</strong></p>
<p style="margin-bottom:20px;">Follow: [https://twitter.com/CynthiaRudin @CynthiaRudin on Twitter]</p>
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<p style="margin-bottom:20px;">Follow: [https://twitter.com/CynthiaRudin @CynthiaRudin on Twitter] | [https://users.cs.duke.edu/~cynthia/papers.html Papers] | [https://users.cs.duke.edu/~cynthia/code.html Code]</p>
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[[Image:Etienne_Saint-Pierre.jpg|150px|Name]]
 +
<h3>Étienne Saint-Pierre</h3>
 +
<p class="jobtitle">Director General, Macroeconomic Accounts Branch, Statistics Canada</p>
 +
<p>Étienne Saint-Pierre has over 26 years of experience at Statistics Canada and has held various positions, progressing over the years to more senior roles. Étienne is currently Director General – Macroeconomic Accounts Branch and he is responsible for the production of detailed and timely indicators (GDP, Trade Statistics, Government Statistics, Balance Sheets) that provide a complete perspective of the Canadian economy. 
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Étienne  is an active participant on international committees. He is Canada’s representative on the G20 Data Gaps Initiative, he is a member of the United Nations Advisory Experts Group on National Accounts and of the Steering Group for National Accounts in the United Nations Economic Commission for Europe. Prior to joining the Macroeconomic Accounts Branch, Étienne held key strategic roles for the Census of Agriculture and was responsible for the novel Integrated Business Statistics Program that currently processes most business surveys at Statistics Canada. 
 +
 
 +
Étienne holds a Master of Economics, with a specialization in public finance, as well as a Bachelor in Economics from Laval University. </p>
 +
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Data-fueled_economic_recovery_and_strategic_global_competitiveness Data-fueled economic recovery and strategic global competitiveness (moderator)]</strong></p>
 
<br>
 
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