{"id":115000,"date":"2021-11-03T12:54:35","date_gmt":"2021-11-03T11:54:35","guid":{"rendered":"https:\/\/datascientest.com\/?p=115000"},"modified":"2024-04-23T12:31:04","modified_gmt":"2024-04-23T12:31:04","slug":"datadays-3-comment-la-data-science-peut-elle-resoudre-les-problemes-environnementaux","status":"publish","type":"post","link":"https:\/\/datascientest.com\/datadays-3-comment-la-data-science-peut-elle-resoudre-les-problemes-environnementaux","title":{"rendered":"DataDays #3 : Comment la data science peut-elle r\u00e9soudre les probl\u00e8mes environnementaux ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"115000\" class=\"elementor elementor-115000\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ba3b028 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ba3b028\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2dc45b6\" data-id=\"2dc45b6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ca03c2e elementor-widget elementor-widget-heading\" data-id=\"ca03c2e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Alors que les dirigeants mondiaux se r\u00e9unissent pour la COP26 \u00e0 Glasgow en Ecosse, DataScientest accueillait pour le DataDays #3, FarmPyStep et N\u00e9bula, deux projets data visant \u00e0 mieux comprendre l\u2019\u00e9volution du climat et \u00e0 \u00e9valuer notre impact environnemental. Retour sur deux projets innovants et b\u00e9n\u00e9fiques pour l\u2019environnement.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f72c57 elementor-widget elementor-widget-text-editor\" data-id=\"6f72c57\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-weight: 400;\">La co\u00efncidence \u00e9tait aussi fortuite que parfaite !\u00a0 Alors que les membres des Nations Unies se sont rassembl\u00e9s hier et aujourd\u2019hui \u00e0 Glasgow afin de lutter contre le r\u00e9chauffement climatique, <\/span><b>DataScientest d\u00e9diait son troisi\u00e8me DataDays \u00e0 la Data Science au service de l\u2019environnement<\/b><span style=\"font-weight: 400;\">. Pour l\u2019occasion, Sveltana Sannikova et Jos\u00e9lito Diaz nous pr\u00e9sentaient <\/span><b>FarmPyStep<\/b><span style=\"font-weight: 400;\">, une application permettant au consommateur d\u2019\u00e9valuer son impact environnemental via son alimentation. Dans un deuxi\u00e8me temps, Yann Bernery et Ludovic Changeon nous ont emmen\u00e9s dans les nuages avec <\/span><b>Nebula\u00a0<\/b><span style=\"font-weight: 400;\">: un projet qui permet de segmenter les nuages gr\u00e2ce \u00e0 l\u2019intelligence artificielle pour am\u00e9liorer notre compr\u00e9hension du climat.\u00a0\u00a0<\/span><\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-11d1983 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"11d1983\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e080962\" data-id=\"e080962\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-65963e7 elementor-widget elementor-widget-heading\" data-id=\"65963e7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">FarmPyStep : \u00e9valuer son impact environnemental par l\u2019alimentation<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec3bc83 elementor-widget elementor-widget-image\" data-id=\"ec3bc83\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"513\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/Capture-de\u0301cran-2021-11-03-a\u0300-11.50.57-1024x657.png\" class=\"attachment-large size-large wp-image-115006\" alt=\"capture d&#039;\u00e9cran de l&#039;outil FarmPyStep\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/Capture-de\u0301cran-2021-11-03-a\u0300-11.50.57-1024x657.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/Capture-de\u0301cran-2021-11-03-a\u0300-11.50.57-300x193.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/Capture-de\u0301cran-2021-11-03-a\u0300-11.50.57-768x493.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/Capture-de\u0301cran-2021-11-03-a\u0300-11.50.57-1536x986.png 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/Capture-de\u0301cran-2021-11-03-a\u0300-11.50.57-2048x1315.png 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5abf59d elementor-widget elementor-widget-text-editor\" data-id=\"5abf59d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-weight: 400;\">Nous en sommes de plus en plus conscients, l\u2019alimentation est un des facteurs majeurs de notre impact environnemental. Ce que nous savons moins, c\u2019est qu\u2019\u00e0 chaque \u00e9tape de la cha\u00eene de production de nos aliments, des bilans de mati\u00e8res, d&rsquo;\u00e9nergies, et de polluants sont r\u00e9alis\u00e9s. Gr\u00e2ce \u00e0 ces donn\u00e9es, collect\u00e9es par l&rsquo;Agence Nationale de la S\u00e9curit\u00e9 Sanitaire (ANSES),\u00a0 <\/span><b>Sveltana Sannikova<\/b><span style=\"font-weight: 400;\"> et <\/span><b>Jos\u00e9lito Diaz<\/b>, deux alumnis de <a href=\"https:\/\/datascientest.com\/formation-data-scientist\"><b>la formation Data Scientist<\/b><\/a>, ont pu cr\u00e9er <b>un programme capable de calculer notre impact environnemental en fonction de notre r\u00e9gime alimentaire<\/b><span style=\"font-weight: 400;\">. En renseignant nos habitudes alimentaires sur <\/span><strong>le site de <a href=\"https:\/\/datascientest.com\/la-data-au-service-de-lalimentation-de-demain\">FarmPyStep<\/a><\/strong><span style=\"font-weight: 400;\">, on obtient un score allant de la <\/span><b>classe 0<\/b><span style=\"font-weight: 400;\"> (impact environnemental faible) \u00e0 la <\/span><b>classe 3<\/b><span style=\"font-weight: 400;\"> (impact environnemental \u00e9lev\u00e9). Il est \u00e9galement possible de consulter le bilan fait par l\u2019ANSES sur les habitudes de consommation alimentaire des Fran\u00e7ais, et donc de comparer ses r\u00e9sultats avec la moyenne nationale. Enfin, il est possible de consulter les composants de certains r\u00e9gimes alimentaires gagnant en popularit\u00e9, comme le v\u00e9g\u00e9talisme, le v\u00e9g\u00e9tarisme, ou le flexitarisme pour comparer leurs r\u00e9sultats avec un r\u00e9gime alimentaire traditionnel.\u00a0<\/span><\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-91a6b7a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"91a6b7a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cd1e06f\" data-id=\"cd1e06f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-50f5937 elementor-widget elementor-widget-heading\" data-id=\"50f5937\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">N\u00e9bula ou comment comprendre le climat gr\u00e2ce aux nuages <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-530aeff elementor-widget elementor-widget-image\" data-id=\"530aeff\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"439\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/1_eOasWXgEW_PXKqtjwWw8og.png\" class=\"attachment-large size-large wp-image-115010\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/1_eOasWXgEW_PXKqtjwWw8og.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/1_eOasWXgEW_PXKqtjwWw8og-300x165.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/11\/1_eOasWXgEW_PXKqtjwWw8og-768x422.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea7401d elementor-widget elementor-widget-text-editor\" data-id=\"ea7401d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Le nuage est souvent associ\u00e9 \u00e0 la donn\u00e9e. Pourtant ce n\u2019est pas du Cloud que sont venus nous parler <\/span><b>Yann Bernery<\/b><span style=\"font-weight: 400;\"> et <\/span><b>Ludovic Changeon<\/b><span style=\"font-weight: 400;\">, \u00e9galement alumnis de la formation Data Science de DataScientest, mais bien <\/span><b>des nuages qui parcourent le ciel<\/b><span style=\"font-weight: 400;\">. Yann et Ludovic ont particip\u00e9 \u00e0 <\/span><b><a href=\"https:\/\/towardsdatascience.com\/silver-lining-clouds-with-ai-ff6a234786e2\">N\u00e9bula<\/a><\/b><span style=\"font-weight: 400;\">, un projet initi\u00e9 par L\u2019Institut Max-Planck de m\u00e9t\u00e9orologie de Hambourg. Ce projet se base sur la <\/span><b>gigantesque base de donn\u00e9es fournie par les observations satellites<\/b><span style=\"font-weight: 400;\"> de l\u2019ensemble de la surface de la Terre. Avec l\u2019aide de l\u2019Intelligence Artificielle, <\/span><b>N\u00e9bula est capable de segmenter les nuages<\/b><span style=\"font-weight: 400;\"> bas selon quatre cat\u00e9gories diff\u00e9rentes : Fleur, Fish, Gravier, et Sucre. Une meilleure reconnaissance de ces nuages permet de mieux comprendre l\u2019\u00e9volution du climat, pr\u00e9venir les catastrophes naturelles et adapter les d\u00e9cisions politiques des zones concern\u00e9es.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">A l\u2019heure o\u00f9 le changement climatique et ses cons\u00e9quences rassemblent les plus grands dirigeants de la plan\u00e8te, cette troisi\u00e8me \u00e9dition des Data Days nous montre gr\u00e2ce \u00e0 ces deux exemples<\/span><b> l\u2019importance de la data <\/b><span style=\"font-weight: 400;\">dans la prise de conscience environnementale et la pr\u00e9vention des risques li\u00e9s au climat.<\/span><\/p><p><span style=\"font-size: 15px;\">En rejoignant <a href=\"https:\/\/datascientest.com\/formations-data\"><b>les formations Data de DataScientest<\/b><\/a> et leurs projets fil rouge, vous pourrez vous aussi cr\u00e9er des applications pour r\u00e9soudre les probl\u00e8mes environnementaux comme tout autre probl\u00e9matique d&rsquo;actualit\u00e9.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4578a7bd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4578a7bd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3c552b1c\" data-id=\"3c552b1c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-427438bc elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"427438bc\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir nos formations en Data Science<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Alors que les dirigeants mondiaux se r\u00e9unissent pour la COP26 \u00e0 Glasgow en Ecosse, DataScientest accueillait pour le DataDays #3, FarmPyStep et N\u00e9bula, deux projets data visant \u00e0 mieux comprendre l\u2019\u00e9volution du climat et \u00e0 \u00e9valuer notre impact environnemental. Retour sur deux projets innovants et b\u00e9n\u00e9fiques pour l\u2019environnement. La co\u00efncidence \u00e9tait aussi fortuite que parfaite [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":115037,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>DataDays #3 : Comment la data science peut-elle r\u00e9soudre les probl\u00e8mes environnementaux ?<\/title>\n<meta name=\"description\" content=\"Alors que les dirigeants mondiaux se r\u00e9unissent pour la COP26 \u00e0 Glasgow en Ecosse, DataScientest accueillait pour le DataDays #3, FarmPyStep et N\u00e9bula, deux projets data visant \u00e0 mieux comprendre l\u2019\u00e9volution du climat et \u00e0 \u00e9valuer notre impact environnemental. 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