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<p style="color: DarkBlue; font-size:large;"><strong>The [https://www.csps-efpc.gc.ca/events/data-conference2023/about-eng.aspx 2023 GC Data Conference] is brought to you by [https://ised-isde.canada.ca/site/ised/en Innovation, Science and Economic Development Canada] and the [https://www.csps-efpc.gc.ca/index-eng.aspx Canada School of Public Service] with support from the [https://www.csps-efpc.gc.ca/partnerships/data-community-eng.aspx GC Data Community].</strong></p>  

<p style="color: DarkBlue; font-size:large;"><strong>The [https://www.csps-efpc.gc.ca/events/data-conference2023/about-eng.aspx 2023 GC Data Conference] is brought to you by [https://ised-isde.canada.ca/site/ised/en Innovation, Science and Economic Development Canada] and the [https://www.csps-efpc.gc.ca/index-eng.aspx Canada School of Public Service] with support from the [https://www.csps-efpc.gc.ca/partnerships/data-community-eng.aspx GC Data Community].</strong></p>  

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<h1>Discover more about data 2023</h1>

<h1 id="top">Discover more about data 2023</h1>

<p><small>Are we missing something? Send us the details: [mailto:gcdc-cdgc@csps-efpc.gc.ca GC Data Community]</small></p>

<p><small>Are we missing something? Send us the details: [mailto:gcdc-cdgc@csps-efpc.gc.ca GC Data Community]</small></p>

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<h3 style="text-decoration:none;">[https://www.gcpedia.gc.ca/wiki/GC_Data_Ecosystem GC Data Ecosystem (GCpedia)]</h3>

<h3 style="text-decoration:none;">[https://www.gcpedia.gc.ca/wiki/GC_Data_Ecosystem GC Data Ecosystem (GCpedia)]</h3>

<p class="author">GC Data Community, Canada School of Public Service</p>

<p class="author">GC Data Community, Canada School of Public Service</p>

<p>The GC Data Ecosystem project curates and connects a public sector-sourced collection of entities related to federal government priorities. [https://www.gcpedia.gc.ca/wiki/GC_Data_Ecosystem/join Join the community]. </p>

<p>The GC Data Ecosystem project curates and connects a public sector-sourced collection of entities related to federal government priorities. [https://www.gcpedia.gc.ca/wiki/GC_Data_Ecosystem/join Join the community]. </p>

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<h3 style="text-decoration:none;">[https://www.isi2023.org/conferences/ottawa-2023/ ISI World Statistics Congress 2023]</h3>

<h3 style="text-decoration:none;">[https://www.isi2023.org/conferences/ottawa-2023/ ISI World Statistics Congress 2023]</h3>

<p class="author">The International Statistical Institute</p>

<p class="author">The International Statistical Institute</p>

<p class="author">George Sciadas</p>

<p class="author">George Sciadas</p>

<p>(In English only) This book is written for the love of numbers. It tells their story, shows how they were invented and used to quantify our world, and explains what quantitative data mean for our lives. It aspires to contribute to overall numeracy through a tour de force presentation of the production, use, and evolution of data.Understanding our physical world, our economies, and our societies through quantification has been a persistent feature of human evolution. This book starts with a narrative on why and how our ancestors were driven to the invention of number, which is then traced to the eventual arrival at our number system. This is followed by a discussion of how numbers were used for counting, how they enabled the measurement of physical quantities, and how they led to the estimation of man-made and abstract notions in the socio-economic domain. As data don’t fall like manna from the sky, a unique feature of this book is that it explains from a teacher’s perspective how they’re really conceived in our minds, how they’re actually produced from individual observations, and how this defines their meaning and interpretation. It discusses the significance of standards, the use of taxonomies, and clarifies a series of misconceptions regarding the making of data. The book then describes the switch to a new research paradigm and its implications, highlights the arrival of microdata, illustrates analytical uses of data, and closes with a look at the future of data and our own role in it.</p>

<p>(In English only) This book is written for the love of numbers. It tells their story, shows how they were invented and used to quantify our world, and explains what quantitative data mean for our lives. It aspires to contribute to overall numeracy through a tour de force presentation of the production, use, and evolution of data.Understanding our physical world, our economies, and our societies through quantification has been a persistent feature of human evolution. This book starts with a narrative on why and how our ancestors were driven to the invention of number, which is then traced to the eventual arrival at our number system. This is followed by a discussion of how numbers were used for counting, how they enabled the measurement of physical quantities, and how they led to the estimation of man-made and abstract notions in the socio-economic domain. As data don’t fall like manna from the sky, a unique feature of this book is that it explains from a teacher’s perspective how they’re really conceived in our minds, how they’re actually produced from individual observations, and how this defines their meaning and interpretation. It discusses the significance of standards, the use of taxonomies, and clarifies a series of misconceptions regarding the making of data. The book then describes the switch to a new research paradigm and its implications, highlights the arrival of microdata, illustrates analytical uses of data, and closes with a look at the future of data and our own role in it.</p>

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<h2><strong><u>Learning</u></strong></h2>

<h2><strong><u>Learning</u></strong></h2>

<div class="smallimage">[[Image:GFlowNets and AI.png|150px|link=|GFlowNets and AI for Science]]</div>

<div class="smallimage">[[Image:GFlowNets and AI.png|150px|link=|GFlowNets and AI for Science]]</div>

<h3 style="text-decoration:none;">[https://www.youtube.com/watch?v=zbRyVLtcCGI GFlowNets and AI for Science presentation - Princeton AI Club]</h3>

<h3 style="text-decoration:none;">[https://www.youtube.com/watch?v=zbRyVLtcCGI GFlowNets and AI for Science presentation - Princeton AI Club]</h3>

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<h3 style="text-decoration:none;">[https://wiki.gccollab.ca/Discover_more_about_data Discover more about data 2022]</h3>

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