{"id":1289,"date":"2024-02-01T12:09:10","date_gmt":"2024-02-01T17:09:10","guid":{"rendered":"https:\/\/www.dawsoncollege.qc.ca\/ai\/?page_id=1289"},"modified":"2025-02-01T12:31:26","modified_gmt":"2025-02-01T17:31:26","slug":"challenge24","status":"publish","type":"page","link":"https:\/\/www.dawsoncollege.qc.ca\/ai\/challenge24\/","title":{"rendered":"DawsonAI 2024 Data Journalism Challenge"},"content":{"rendered":"\"\"\n


\nGreat prizes to be won! No prior experience required for participation!
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\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 Saturday, March 23rd 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

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De superbes prix \u00e0 gagner ! Aucune exp\u00e9rience pr\u00e9alable n’est requise pour participer !
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\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 samedi 23 mars \u00e0 10h00 dans la salle 5B.16 en format hybride.<\/strong> Il est fortement recommand\u00e9 aux \u00e9tudiants d’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

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Overview<\/h3>\n

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>\u00a0<\/span><\/p>\n

The DawsonAI- AI Launch Lab data challenge this year is meant to help introduce us to the broad field of <\/span>Data Journalism<\/span><\/i>, wherein large datasets from various sources are compiled into a visual aid at the center of a story meant to inform the general public (see for example, the work done at <\/span>Our World in Data<\/span><\/a> ). We will<\/span>\u00a0set the stage for you to lead your own data journalism project.<\/p>\n

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Image generated by DALL-E 2<\/figcaption><\/figure>\n

Orientation: Friday, March 15<\/h3>\n\n\n\n
14:30 – 16:00<\/strong><\/td>\nThe orientation will be a hybrid in-person\/virtual session. Participants will be provided with preparatory materials and access to a discord server.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Challenge Day 1: Saturday, March 23 [rm 5B.16]<\/strong><\/h3>\n\n\n\n\n\n\n\n
9:00-10:00<\/strong><\/td>\nOnsite registration and team formation<\/td>\n<\/tr>\n
10:00-10:15<\/strong><\/td>\nOpening remarks
\nAnnouncing the theme<\/td>\n<\/tr>\n
10:15-12:00<\/strong><\/td>\nWorkshops on Data Science and Data Storytelling for the challenge with instructions and tips<\/td>\n<\/tr>\n
12:00-12:30<\/strong><\/td>\nLunch<\/td>\n<\/tr>\n
12:30-20:00<\/strong><\/td>\nChallenge accepted! Supervision ends at 8 PM, but the college will remain open until 10 PM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Challenge Day 2: Sunday, March 24 [rm 5B.16]<\/strong><\/h3>\n\n\n\n\n\n
9:00-12:00<\/strong><\/td>\nChallenge submissions due at 12:00 PM<\/td>\n<\/tr>\n
12:30-14:00<\/strong><\/td>\nTeam presentations and judging<\/td>\n<\/tr>\n
14:30-15:30<\/strong><\/td>\nPrizes and closing remarks.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Instructions for Warm-up (optional)<\/h3>\n

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