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| | === Justin Reich === | | === Justin Reich === |
| | '''professeur adjoint en études comparatives et directeur, Laboratoire des systèmes d'enseignement, Massachusetts Institute of Technology (MIT)''' <br> | | '''professeur adjoint en études comparatives et directeur, Laboratoire des systèmes d'enseignement, Massachusetts Institute of Technology (MIT)''' <br> |
| − | Justin Reich is a learning scientist interested in learning at scale, practice-based teacher education, and the future of learning in a networked world. He is an Assistant Professor in the Comparative Media Studies/Writing department at the Massachusetts Institute of Technology and the director of the MIT Teaching Systems Lab. The Teaching Systems Lab designs, implements, and researches the future of teacher learning. He is the instructor for five free, openly-licensed MOOCs about change leadership in education. He is the author of Failure to Disrupt: Why Technology Alone Can’t Transform Education, forthcoming from Harvard University Press. He is also the host of the TeachLab Podcast. He was previously the Richard L. Menschel HarvardX Research Fellow, where he led the initiative to study large-scale open online learning through HarvardX, and a lecturer at the Harvard Graduate School of Education. He is an alumni and faculty associate of the Berkman Klein Center for Internet and Society. His writings have appeared in Science, The Atlantic, Educational Researcher, the Washington Post, Inside Higher Ed, the Christian Science Monitor, and other publications. For several years, he wrote the EdTechResearcher blog at Education Week. Justin started his career teaching wilderness medicine, and later taught high school world history and history electives, and coached wrestling and outdoor activities.
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| | === Nisa Malli === | | === Nisa Malli === |
| | '''gestionnaire du volet sur le travail, Brookfield Institute''' <br> | | '''gestionnaire du volet sur le travail, Brookfield Institute''' <br> |
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| | === Katherine Rusk === | | === Katherine Rusk === |
| | '''Waiting on Title''' <br> | | '''Waiting on Title''' <br> |
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| | === John Kost === | | === John Kost === |
| | '''Distinguished Vice President, Gartner'''<br> | | '''Distinguished Vice President, Gartner'''<br> |
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| | === Major Kim Jones === | | === Major Kim Jones === |
| | '''cheffe de la culture et de la littératie des données, Communauté de pratique des données et de l'analytique, Forces armées canadienness''' <br> | | '''cheffe de la culture et de la littératie des données, Communauté de pratique des données et de l'analytique, Forces armées canadienness''' <br> |
| − | Major Kim Jones is a Training Development Officer in the Canadian Armed Forces (CAF). She has been a military member for the past 16 years and is presently the Data Literacy and Culture Lead at the Department of National Defence’s ADM (Data, Innovation and Analytics- DIA).
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| − | After completing post graduate degrees in the areas of adult education and distance education, Major Jones completed her Doctor of Education (EdD) degree in 2020 with her research titled, “Satisfaction of Canadian Armed Forces Regular Force Members with their Distance Learning Experiences.” She is enthusiastic about raising the levels of data literacy and encouraging a data culture in the CAF/DND, all while exploring innovative approaches.
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| | [[File:David Maybury Enlarged Headshot.jpg|frameless|center]] | | [[File:David Maybury Enlarged Headshot.jpg|frameless|center]] |
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| | === David Maybury === | | === David Maybury === |
| | '''analyste principal des systèmes et scientifique des données en chef, Services publics et Approvisionnement Canada'''<br> | | '''analyste principal des systèmes et scientifique des données en chef, Services publics et Approvisionnement Canada'''<br> |
| − | Dr. David Maybury received his BSc in Applied Mathematics from the University of Western Ontario and his PhD in High Energy Physics from the University of Alberta. He was a postdoctoral fellow with the Rudolf Peierls Centre for Theoretical Physics, University of Oxford, before joining the Government of Canada, first as a senior operations research scientist with National Defence and currently as the head scientist of the Centre for Operations Research and Data Science at Public Services and Procurement Canada. David specializes in modelling stochastic processes for support to decision making. Under his leadership as the international chairman of the NATO System Analysis and Studies Task Group on military economics his research team won NATO’s 2016 Scientific and Technology Achievement Award. In his current role at PSPC, David provides mathematical and computational oversight of all operational research and data science initiatives. He has numerous peer-reviewed publications in physics, economics, and operational research.
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| − | <br><br>
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| − | '''Abstract''' <br>
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| − | I am the head data scientist of Public Services and Procurement Canada’s new data science team — the Centre for Operational Research and Data Science (CORDS). We provide service to PSPC branches, dedicated to innovation with data, machine learning, artificial intelligence, and its application to better decision making. More than ever, Canadians and our governments expect that we reach our conclusions using reproducible, evidence based methods to improve the public good. Whether it’s understanding the demographics of our workforce, the effects of our decisions on the economically disadvantaged, or the performance of our services to other departments, we can only make progress with insight from our data. In this short talk, I will discuss how we have supported PSPC’s HR-to-Pay Program Office (HRPPO) for locating Phoenix pay system bottlenecks and performance issues along GBA+ dimensions. I will also discuss some of our recent work on COVID-19 during our partnership with the Public Health Agency of Canada. We contributed to the literature on seroprevalence of COVID-19 antibodies in the general population, and we recently published a stochastic propagation model in the Journal of Theoretical Biology on how the virus begins to spread during an outbreak with applications to federal workplaces.
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| | === Andy Handouyahia === | | === Andy Handouyahia === |
| | '''gestionnaire, Direction générale des politiques stratégiques et de service, Emploi et Développement social Canada'''<br> | | '''gestionnaire, Direction générale des politiques stratégiques et de service, Emploi et Développement social Canada'''<br> |
| − | Andy Handouyahia is a manager within the Evaluation Directorate at the Strategic and Service Policy Branch in Employment and Social Development Canada. Andy leads a multidisciplinary team of economists, statisticians and data analysts to conduct net impact analysis of the Departments labour market programs for the unemployed, youth, Indigenous peoples, and persons with disabilities. Andy holds a Master of Science from University of Sherbrooke, Quebec. Andy joined the Public Service in 1997 and, in that time has worked at various departments and agencies including Statistics Canada and Treasury Board Secretariat. Andy also teaches part time at the Université de Québec en Outaouais, l’UQO. Andy has more than 25 years of experience applying innovative techniques in data modeling and development, econometrics and statistical analysis, machine learning, business intelligence and data mining.
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| | === Tristan Rikhi === | | === Tristan Rikhi === |
| | '''analyste principal des données, Direction générale des politiques stratégiques et de service, Emploi et Développement social Canada'''<br> | | '''analyste principal des données, Direction générale des politiques stratégiques et de service, Emploi et Développement social Canada'''<br> |
| − | Tristan Rikhi is a Senior Data Analyst and holds a Master's degree in Economics from McMaster University. Tristan has been working with the methodology team for 4 years where he applied econometric and statistical analysis, including machine learning, to the evaluation of multiple labour programs such as the Youth Employment Strategy, Labour Market Development Agreements, and Opportunities Fund for Persons with Disabilities.
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| | |} | | |} |