{"id":1406,"date":"2024-10-04T06:45:25","date_gmt":"2024-10-04T10:45:25","guid":{"rendered":"https:\/\/www.dawsoncollege.qc.ca\/ai\/?page_id=1406"},"modified":"2024-10-04T07:20:42","modified_gmt":"2024-10-04T11:20:42","slug":"datachallenge23","status":"publish","type":"page","link":"https:\/\/www.dawsoncollege.qc.ca\/ai\/datachallenge23\/","title":{"rendered":"DawsCon 2023 Data Journalism Challenge"},"content":{"rendered":"<img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1412\" src=\"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-content\/uploads\/sites\/180\/QUEBEC_Participation_Web_Coul_ANG.png\" alt=\"\" width=\"497\" height=\"211\" \/>\n<p><span data-contrast=\"auto\"><strong><br \/>\nGreat prizes to be won! No prior experience required for participation!<br \/>\n<\/strong><\/span><span data-contrast=\"auto\"><br \/>\nThe challenge is designed to be doable for college students of any background or program. Preparatory exercises will be provided for participants. A workshop will also be given on the morning of <strong>Saturday, March 25th at 10:00AM in 5B.16 in hybrid format. <\/strong>It is highly recommended that students attend in person for maximum benefit but students may follow along virtually. See preliminary schedule below.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span data-contrast=\"auto\"><strong>De superbes prix \u00e0 gagner ! Aucune exp\u00e9rience pr\u00e9alable n&#8217;est requise pour participer !<br \/>\n<\/strong><\/span><span data-contrast=\"auto\"><br \/>\nLe d\u00e9fi est con\u00e7u pour \u00eatre r\u00e9alisable par des \u00e9tudiants coll\u00e9giaux de tout programme ou formation. Des exercices pr\u00e9paratoires seront fournis aux participants. Un atelier aura \u00e9galement lieu le matin du <strong>samedi 25 mars \u00e0 10h00 dans la salle 5B.16 en format hybride.<\/strong> Il est fortement recommand\u00e9 aux \u00e9tudiants d&#8217;y assister en personne pour en tirer le maximum, mais ils peuvent aussi suivre virtuellement. Voir le programme pr\u00e9liminaire ci-dessous.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3>Overview<\/h3>\n<p><span data-contrast=\"auto\">Mitigating the impact of climate change is one of the most urgent challenges of our century. Understanding where emissions come from, and how they are evolving over time is crucial to making progress. However, the amount of information can be overwhelming, especially when put in context with history and economics. The field of data science offers some of the tools to help us parse the massive reams of data, and extract insight from interactive visualizations. These visual representations of data can help us make informed arguments and decisions as we collectively work to preserve the health of our planet.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The DawsCon \u2013 DawsonAI data challenge this year is meant to help introduce us to the broad field of <\/span><i><span data-contrast=\"auto\">Data Journalism<\/span><\/i><span data-contrast=\"auto\">, wherein large datasets from various sources are compiled into a visual aid at the center of a story meant to inform the general public. Inspired by the work done at <\/span><a href=\"https:\/\/ourworldindata.org\/co2-and-other-greenhouse-gas-emissions\"><span data-contrast=\"none\">Our World in Data,<\/span><\/a><span data-contrast=\"auto\"> we will begin with publicly available C0<\/span><span data-contrast=\"auto\">2<\/span><span data-contrast=\"auto\"> emissions data for Canada at the provincial level<\/span>, and set the stage for you to lead your own data journalism project.<\/p>\n<figure id=\"attachment_632\" aria-describedby=\"caption-attachment-632\" style=\"width: 800px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-632\" src=\"https:\/\/www.dawsoncollege.qc.ca\/dawscon\/wp-content\/uploads\/sites\/156\/datajournalism2-800x420.jpg\" alt=\"\" width=\"800\" height=\"420\" \/><figcaption id=\"caption-attachment-632\" class=\"wp-caption-text\">Image generated by DALL-E 2<\/figcaption><\/figure>\n<h3>Orientation: Friday, March 24<\/h3>\n<table>\n<tbody>\n<tr>\n<td width=\"92\"><strong>17:15-18:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\"><strong>[rm 3F.43]<\/strong> Challenge Kickoff as part of DawsCon networking session<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Challenge Day 1: Saturday, March 25 <strong>[rm 5B.16]<\/strong><\/h3>\n<table>\n<tbody>\n<tr>\n<td width=\"92\"><strong>9:00-10:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Onsite registration and team formation<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>10:00-10:15<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Opening remarks<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>10:15-13:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\"><em>Sameer Bhatnagar &amp; Vanessa Gordon &#8212; <\/em>Challenge Warmup Tutorial Session:<br \/>\nData science and visual literacy workshop for the challenge with instructions and tips.<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>13:00-13:30<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Lunch<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>13:00-20:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Challenge accepted! Supervision ends at 8 PM, but the college will remain open until 10 PM.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Challenge Day 2: Sunday, March 26 <strong>[rm 5B.16]<\/strong><\/h3>\n<table>\n<tbody>\n<tr>\n<td width=\"92\"><strong>9:00-12:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Challenge submissions due at 12:00<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>12:30-14:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Team presentations and judging<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>14:30-15:30<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Prizes and closing remarks.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Instructions for Warm-up (optional)<\/h3>\n<p><strong>Preparatory exercises can be done alone or with team members and will be provided two weeks before the challenge. The outline of the preparatory exercises is given below for context.<\/strong><\/p>\n<ul>\n<li>Open a new jupyter notebook <a href=\"https:\/\/colab.research.google.com\/\">Google Colab<\/a> (requires a Gmail account)<\/li>\n<li>In a separate window, open the <strong><em>Tutorial Notebook (link to come in the lead up to the challenge) . <\/em><\/strong>The goal of this tutorial is to break down the code required to generate the graphs we see in the <a href=\"https:\/\/ourworldindata.org\/co2-and-other-greenhouse-gas-emissions\">Our World in Data<\/a> article, which gives the CO<sub>2<\/sub> emissions over time, for any country, over the last 50 years.<\/li>\n<li>Cell by cell, follow the tutorial, and copy cell chunks over to your blank notebook. This will allow you to see for yourself how different code chunks work for yourself, without losing your original copy of the tutorial<\/li>\n<li>Notice the use of different variables to contextualize the raw data: e.g. country population, economic output<\/li>\n<\/ul>\n<h3>Registration and important notes<\/h3>\n<ul>\n<li><strong>Challenge kickoff and orientation will take place Friday, March 24 at 5:00-6:30PM in 5B.16. Attendance not mandatory.<\/strong><\/li>\n<li>The challenge can be done in teams of 2 to 5 members. If you don&#8217;t have a team, we will help you find one.<\/li>\n<li>Students who would like to do the challenge for course work or independent study projects will have been prompted by their teachers to pursue this as an option.<\/li>\n<li>The challenge will also be part of an extra session of the AI Launch Lab Winter 2023 Cohort. For more information visit\u00a0<a href=\"https:\/\/www.dawsoncollege.qc.ca\/ai\/dawsonai-ai-launch-lab\/\">this link.<\/a> Week 1 of the AI Launch Lab begins March 4, 2023.<\/li>\n<li><span data-contrast=\"auto\"><strong>Demos and workshops will be run Saturday, March 25 throughout the day. Mentors will be present to\u00a0 help the teams.<\/strong><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Aper\u00e7u<\/h3>\n<p><span data-contrast=\"auto\">R\u00e9duire l&#8217;impact du changement climatique est l&#8217;un des d\u00e9fis les plus urgents de notre si\u00e8cle. Comprendre d&#8217;o\u00f9 viennent les \u00e9missions et comment elles \u00e9voluent au fil du temps est crucial pour progresser. Cependant, la quantit\u00e9 d&#8217;informations peut \u00eatre accablante, surtout lorsqu&#8217;elle est mise en contexte avec l&#8217;histoire et l&#8217;\u00e9conomie. Le domaine de la science des donn\u00e9es offre certains outils pour nous aider \u00e0 traiter des volumes massifs de donn\u00e9es et \u00e0 extraire des id\u00e9es \u00e0 partir de visualisations interactives. Ces repr\u00e9sentations visuelles des donn\u00e9es peuvent nous aider \u00e0 formuler des arguments et des d\u00e9cisions \u00e9clair\u00e9s alors que nous travaillons collectivement \u00e0 pr\u00e9server la sant\u00e9 de notre plan\u00e8te.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Le d\u00e9fi de donn\u00e9es DawsCon \u2013 DawsonAI de cette ann\u00e9e vise \u00e0 nous initier au vaste domaine du <\/span><i><span data-contrast=\"auto\">journalisme de donn\u00e9es<\/span><\/i><span data-contrast=\"auto\">, o\u00f9 de grands ensembles de donn\u00e9es provenant de diverses sources sont compil\u00e9s en une aide visuelle au centre d&#8217;une histoire visant \u00e0 informer le grand public. Inspir\u00e9s par le travail r\u00e9alis\u00e9 sur <\/span><a href=\"https:\/\/ourworldindata.org\/co2-and-other-greenhouse-gas-emissions\"><span data-contrast=\"none\">Our World in Data<\/span><\/a><span data-contrast=\"auto\">, nous commencerons avec des donn\u00e9es publiques sur les \u00e9missions de CO<\/span><span data-contrast=\"auto\">2<\/span><span data-contrast=\"auto\"> pour le Canada au niveau provincial, et poserons les bases pour vous permettre de mener votre propre projet de journalisme de donn\u00e9es.<\/span><\/p>\n<figure id=\"attachment_632\" aria-describedby=\"caption-attachment-632\" style=\"width: 800px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-632\" src=\"https:\/\/www.dawsoncollege.qc.ca\/dawscon\/wp-content\/uploads\/sites\/156\/datajournalism2-800x420.jpg\" alt=\"\" width=\"800\" height=\"420\" \/><figcaption id=\"caption-attachment-632\" class=\"wp-caption-text\">Image g\u00e9n\u00e9r\u00e9e par DALL-E 2<\/figcaption><\/figure>\n<h3>Orientation : Vendredi 24 mars<\/h3>\n<table>\n<tbody>\n<tr>\n<td width=\"92\"><strong>17:15-18:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\"><strong>[salle 3F.43]<\/strong> Lancement du d\u00e9fi dans le cadre de la session de r\u00e9seautage de DawsCon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Jour 1 du d\u00e9fi : Samedi 25 mars <strong>[salle 5B.16]<\/strong><\/h3>\n<table>\n<tbody>\n<tr>\n<td width=\"92\"><strong>9:00-10:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Inscription sur place et formation des \u00e9quipes<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>10:00-10:15<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Remarques d&#8217;ouverture<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>10:15-13:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\"><em>Sameer Bhatnagar &amp; Vanessa Gordon &#8212; <\/em>Session de tutoriel de pr\u00e9paration au d\u00e9fi :<br \/>\nAtelier sur la science des donn\u00e9es et la litt\u00e9ratie visuelle pour le d\u00e9fi, avec instructions et conseils.<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>13:00-13:30<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">D\u00e9jeuner<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>13:00-20:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">D\u00e9fi accept\u00e9 ! La supervision se termine \u00e0 20h, mais le coll\u00e8ge restera ouvert jusqu&#8217;\u00e0 22h.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Jour 2 du d\u00e9fi : Dimanche 26 mars <strong>[salle 5B.16]<\/strong><\/h3>\n<table>\n<tbody>\n<tr>\n<td width=\"92\"><strong>9:00-12:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Soumission des d\u00e9fis avant 12h00<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>12:30-14:00<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Pr\u00e9sentations des \u00e9quipes et \u00e9valuation<\/td>\n<\/tr>\n<tr>\n<td width=\"92\"><strong>14:30-15:30<\/strong><\/td>\n<td colspan=\"2\" width=\"496\">Remise des prix et remarques de cl\u00f4ture.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Instructions pour la pr\u00e9paration (facultatif)<\/h3>\n<p><strong>Les exercices pr\u00e9paratoires peuvent \u00eatre faits seuls ou avec les membres de l&#8217;\u00e9quipe et seront fournis deux semaines avant le d\u00e9fi. Le plan des exercices pr\u00e9paratoires est donn\u00e9 ci-dessous \u00e0 titre de contexte.<\/strong><\/p>\n<ul>\n<li>Ouvrez un nouveau notebook jupyter sur <a href=\"https:\/\/colab.research.google.com\/\">Google Colab<\/a> (n\u00e9cessite un compte Gmail)<\/li>\n<li>Dans une fen\u00eatre s\u00e9par\u00e9e, ouvrez le <strong><em>notebook de tutoriel (lien \u00e0 venir avant le d\u00e9fi)<\/em><\/strong>. L&#8217;objectif de ce tutoriel est de d\u00e9composer le code n\u00e9cessaire pour g\u00e9n\u00e9rer les graphiques que nous voyons dans l&#8217;article de <a href=\"https:\/\/ourworldindata.org\/co2-and-other-greenhouse-gas-emissions\">Our World in Data<\/a>, qui montre les \u00e9missions de CO<sub>2<\/sub> au fil du temps, pour n&#8217;importe quel pays, au cours des 50 derni\u00e8res ann\u00e9es.<\/li>\n<li>Cellule par cellule, suivez le tutoriel et copiez les morceaux de code dans votre notebook vierge. Cela vous permettra de voir par vous-m\u00eame comment chaque morceau de code fonctionne, sans perdre votre copie originale du tutoriel.<\/li>\n<li>Notez l&#8217;utilisation de diff\u00e9rentes variables pour contextualiser les donn\u00e9es brutes : par exemple, la population d&#8217;un pays, la production \u00e9conomique<\/li>\n<\/ul>\n<h3>Inscription et notes importantes<\/h3>\n<ul>\n<li><strong>Le lancement du d\u00e9fi et l&#8217;orientation auront lieu le vendredi 24 mars de 17h00 \u00e0 18h30 dans la salle 5B.16. La pr\u00e9sence n&#8217;est pas obligatoire.<\/strong><\/li>\n<li>Le d\u00e9fi peut \u00eatre fait en \u00e9quipes de 2 \u00e0 5 membres. Si vous n&#8217;avez pas d&#8217;\u00e9quipe, nous vous aiderons \u00e0 en trouver une.<\/li>\n<li>Les \u00e9tudiants qui souhaitent faire le d\u00e9fi dans le cadre de leurs travaux de cours ou de projets d&#8217;\u00e9tude ind\u00e9pendante auront \u00e9t\u00e9 encourag\u00e9s par leurs enseignants \u00e0 poursuivre cette option.<\/li>\n<li>Le d\u00e9fi fera \u00e9galement partie d&#8217;une session suppl\u00e9mentaire de la cohorte d&#8217;hiver 2023 du AI Launch Lab. Pour plus d&#8217;informations, visitez <a href=\"https:\/\/www.dawsoncollege.qc.ca\/ai\/dawsonai-ai-launch-lab\/\">ce lien.<\/a> La semaine 1 du AI Launch Lab commence le 4 mars 2023.<\/li>\n<li><span data-contrast=\"auto\"><strong>Des d\u00e9monstrations et des ateliers auront lieu le samedi 25 mars tout au long de la journ\u00e9e. Des mentors seront pr\u00e9sents pour aider les \u00e9quipes.<\/strong><\/span><\/li>\n<\/ul>\n<p><strong>Inscriptions ferm\u00e9es \/ Registration closed<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Great prizes to be won! No prior experience required for participation! The challenge is designed to be doable for college students of any background or program. Preparatory exercises will be provided for participants. A workshop will also be given on the morning of Saturday, March 25th at 10:00AM in 5B.16 in hybrid format. It is&#8230;<\/p>\n","protected":false},"author":145,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1406","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/pages\/1406","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/users\/145"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/comments?post=1406"}],"version-history":[{"count":5,"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/pages\/1406\/revisions"}],"predecessor-version":[{"id":1413,"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/pages\/1406\/revisions\/1413"}],"wp:attachment":[{"href":"https:\/\/www.dawsoncollege.qc.ca\/ai\/wp-json\/wp\/v2\/media?parent=1406"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}