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Data Conference 2022 Speakers (view source)
Revision as of 14:40, 29 January 2022
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<p>Benoit studied computer science at Carleton University in Ottawa. He is acting Director of Data and Artificial Intelligence at the Treasury Board of Canada Secretariat (TBS). He directs the development of the Directive on Automated Decision-Making and the Algorithmic Impact Assessment (AIA). These policy tools ensure that Automated Decision Systems are deployed in a manner that reduces risks to Canadians and federal institutions, and lead to more efficient, accurate, consistent, and interpretable decisions. </p>
<p>Benoit studied computer science at Carleton University in Ottawa. He is acting Director of Data and Artificial Intelligence at the Treasury Board of Canada Secretariat (TBS). He directs the development of the Directive on Automated Decision-Making and the Algorithmic Impact Assessment (AIA). These policy tools ensure that Automated Decision Systems are deployed in a manner that reduces risks to Canadians and federal institutions, and lead to more efficient, accurate, consistent, and interpretable decisions. </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/MrDeshaies @MrDeshaies on Twitter]</p>
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In early 2018 Sevgui has spearheaded the creation of a machine learning (ML)/AI solutions Hub within Statistics Canada, i.e. the Data Science Accelerator (DSA). Its purpose: to build data science capacity within the organization by solving concrete problems & delivering practical results that enable clients to move forward confidently with big & unstructured data. The DSA operated as a start-up, entirely business needs driven, on a cost-recovery basis, taking advantage of entrepreneurship best practices, catalyzing culture change through delivery of small wins, building confidence and trust in the new methods. In Sep 2019, Sevgui was appointed as the Senior Director of the new Data Science Division, created to provide an R&D nucleus for the exploration and the application of data science within the Agency. The division deploys specialized multidisciplinary expertise in the latest open source, hardware and cloud service techniques to tackle projects employing deep learning, Natural Language Processing (NLP), image processing, privacy preserving technics and information retrieval methods. </p>
In early 2018 Sevgui has spearheaded the creation of a machine learning (ML)/AI solutions Hub within Statistics Canada, i.e. the Data Science Accelerator (DSA). Its purpose: to build data science capacity within the organization by solving concrete problems & delivering practical results that enable clients to move forward confidently with big & unstructured data. The DSA operated as a start-up, entirely business needs driven, on a cost-recovery basis, taking advantage of entrepreneurship best practices, catalyzing culture change through delivery of small wins, building confidence and trust in the new methods. In Sep 2019, Sevgui was appointed as the Senior Director of the new Data Science Division, created to provide an R&D nucleus for the exploration and the application of data science within the Agency. The division deploys specialized multidisciplinary expertise in the latest open source, hardware and cloud service techniques to tackle projects employing deep learning, Natural Language Processing (NLP), image processing, privacy preserving technics and information retrieval methods. </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 (moderator)]</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 (moderator)]</strong></p>
<p style="margin-bottom:20px;">Follow : [https://www.linkedin.com/in/sevgui-erman-9527a91/ LinkedIn]</p>
[[Image:Christiane_Fox.png|150px|Christianne Fox]]
[[Image:Christiane_Fox.png|150px|Christianne Fox]]
<p>Ted McDonald is a Professor in the Department of Political Science at the University of New Brunswick in Fredericton. He holds a Ph.D. in Economics from the University of Melbourne, Australia. He is the founding Director of the NB Institute for Research, Data and Training, New Brunswick’s only provincial administrative data centre. He is also the Chair of the Canadian Research Data Centre Network Academic Council, a member of the CRDCN Board, and the Academic Director of the NB Statistics Canada Research Data Centre. In addition, Dr. McDonald is on the executive committee of Health Data Research Network Canada and is the New Brunswick lead of the Maritime SPOR SUPPORT Unit (MSSU). His main areas of research include the health status and health services use of immigrants and other subpopulations, socioeconomic determinants of cancer and other chronic diseases, and immigrant retention and mobility. Dr. McDonald is a UNB research scholar for 2020-22 and previously held that title in 2012-14. In 2019 he was co-winner of the Mike McCracken award for Economics Statistics, awarded by the Canadian Economics Association. </p>
<p>Ted McDonald is a Professor in the Department of Political Science at the University of New Brunswick in Fredericton. He holds a Ph.D. in Economics from the University of Melbourne, Australia. He is the founding Director of the NB Institute for Research, Data and Training, New Brunswick’s only provincial administrative data centre. He is also the Chair of the Canadian Research Data Centre Network Academic Council, a member of the CRDCN Board, and the Academic Director of the NB Statistics Canada Research Data Centre. In addition, Dr. McDonald is on the executive committee of Health Data Research Network Canada and is the New Brunswick lead of the Maritime SPOR SUPPORT Unit (MSSU). His main areas of research include the health status and health services use of immigrants and other subpopulations, socioeconomic determinants of cancer and other chronic diseases, and immigrant retention and mobility. Dr. McDonald is a UNB research scholar for 2020-22 and previously held that title in 2012-14. In 2019 he was co-winner of the Mike McCracken award for Economics Statistics, awarded by the Canadian Economics Association. </p>
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Data_access_and_partnerships_to_inform_the_public Data access and partnerships to inform the public]</strong></p>
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Data_access_and_partnerships_to_inform_the_public Data access and partnerships to inform the public]</strong></p>
<p style="margin-bottom:20px;">Follow: [https://twitter.com/NBIRDT_UNB @NBIRDT_UNB sur Twitter] | [https://www.linkedin.com/company/datanb/ LinkedIn] | [https://www.facebook.com/NBIRDT Facebook] | [https://www.instagram.com/nb.irdt/ Instagram] | [https://www.slideshare.net/NBIRDT SlideShare] | [https://www.youtube.com/channel/UChwGwPBk8rLDwI1J1Agm1Vw YouTube]</p>
[[Image:Ima_Okonny_Photo_-_CDO.jpg|150px|Ima Okonny]]
[[Image:Ima_Okonny_Photo_-_CDO.jpg|150px|Ima Okonny]]