{"id":67354,"date":"2026-10-14T16:30:44","date_gmt":"2026-10-14T14:30:44","guid":{"rendered":"https:\/\/www.inovallee.com\/?p=67354"},"modified":"2026-10-14T16:30:46","modified_gmt":"2026-10-14T14:30:46","slug":"treensight-analyse-donnees-vulnerabilite-climatique","status":"publish","type":"post","link":"https:\/\/www.inovallee.com\/en\/treensight-analyse-donnees-vulnerabilite-climatique\/","title":{"rendered":"Canicule, sant\u00e9, pr\u00e9carit\u00e9 : quand la data aide les territoires \u00e0 cibler leurs actions gr\u00e2ce \u00e0 la technologie de Treensight"},"content":{"rendered":"

Face au r\u00e9chauffement climatique, toutes les zones urbaines ne sont pas \u00e9gales.
Certains quartiers cumulent chaleur, fragilit\u00e9s sanitaires et difficult\u00e9s socio-\u00e9conomiques.
Mais comment identifier pr\u00e9cis\u00e9ment ces territoires prioritaires pour agir efficacement ?
C’est tout l’enjeu d’une \u00e9tude men\u00e9e sur Grenoble et \u00c9chirolles, avec l’appui de la startup deeptech Treensight qui vient de rejoindre le Tarmac.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Transformer des dizaines de variables en connaissances actionnables<\/strong><\/h2>\n\n\n\n

Les collectivit\u00e9s disposent aujourd’hui d’une quantit\u00e9 consid\u00e9rable de donn\u00e9es : temp\u00e9ratures, densit\u00e9 urbaine, revenus des habitants, \u00e2ge de la population, indicateurs de sant\u00e9, occupation des sols, ou encore donn\u00e9es li\u00e9es aux \u00eelots de chaleur urbains (ICU).<\/p>\n\n\n\n

Le d\u00e9fi n’est plus tant de collecter l’information que de la comprendre.<\/p>\n\n\n\n

Dans le cadre du projet CASSANDRE<\/strong>, financ\u00e9 par l’ADEME<\/strong>, la chercheuse Sandra Rome de l’Institut des G\u00e9osciences de l’Environnement (IGE)<\/strong> a cherch\u00e9 \u00e0 mieux comprendre comment se combinent les facteurs climatiques, sanitaires et sociaux \u00e0 l’\u00e9chelle des quartiers de Grenoble et d’\u00c9chirolles. L’objectif : identifier les zones les plus vuln\u00e9rables aux vagues de chaleur afin d’orienter plus efficacement les politiques publiques.<\/p>\n\n\n\n

Pour cela, l’\u00e9tude a analys\u00e9 82 IRIS<\/strong> (mailles statistiques infra-communales de l’INSEE) \u00e0 partir de 61 variables diff\u00e9rentes<\/strong> croisant donn\u00e9es climatiques, sanitaires et socio-\u00e9conomiques.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Une technologie issue de quinze ans de recherche au CNRS<\/strong><\/h2>\n\n\n\n

C’est ici qu’intervient Treensight<\/strong>, jeune startup deeptech r\u00e9cemment install\u00e9e au Tarmac d’inovall\u00e9e.<\/p>\n\n\n\n

La soci\u00e9t\u00e9 d\u00e9veloppe une technologie n\u00e9e de plus de quinze ann\u00e9es de recherche men\u00e9es par Gilles Bisson<\/strong>, chercheur au Laboratoire d’Informatique de Grenoble (LIG)<\/strong>, unit\u00e9 associant le CNRS<\/strong>, l’Universit\u00e9 Grenoble Alpes<\/strong> et Inria<\/strong>.<\/p>\n\n\n\n

Son ambition est simple : rendre l’analyse de donn\u00e9es complexes accessible aux experts m\u00e9tiers, sans n\u00e9cessiter de comp\u00e9tences avanc\u00e9es en programmation ou en data science.<\/p>\n\n\n\n

L’innovation de Treensight repose sur une repr\u00e9sentation visuelle originale des donn\u00e9es sous forme d’arbres interactifs, appel\u00e9s Stacked Trees<\/strong>. Cette approche permet d’explorer rapidement de grands ensembles de donn\u00e9es, de faire appara\u00eetre des profils cach\u00e9s, de comprendre quelles variables sont r\u00e9ellement discriminantes et de conserver une parfaite tra\u00e7abilit\u00e9 des analyses.<\/p>\n\n\n\n

L\u00e0 o\u00f9 beaucoup d’outils produisent des r\u00e9sultats difficiles \u00e0 interpr\u00e9ter, Treensight cherche au contraire \u00e0 maintenir l’humain au c\u0153ur de l’analyse.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Sept profils de vuln\u00e9rabilit\u00e9 r\u00e9v\u00e9l\u00e9s<\/strong><\/h2>\n\n\n\n

Gr\u00e2ce \u00e0 Treensight Explorer<\/strong>, les chercheurs ont pu combiner des m\u00e9thodes statistiques avanc\u00e9es et une exploration visuelle intuitive des donn\u00e9es, dont l’analyse a permis de faire \u00e9merger sept profils territoriaux distincts<\/strong>.<\/p>\n\n\n\n

Certains quartiers apparaissent comme particuli\u00e8rement expos\u00e9s : temp\u00e9ratures \u00e9lev\u00e9es, forte densit\u00e9 urbaine, pr\u00e9carit\u00e9 \u00e9conomique et fragilit\u00e9s sanitaires se cumulent et renforcent les risques lors des \u00e9pisodes de chaleur intense. D’autres territoires pr\u00e9sentent des vuln\u00e9rabilit\u00e9s plus limit\u00e9es, mais n\u00e9cessitent n\u00e9anmoins des mesures d’adaptation sp\u00e9cifiques.<\/p>\n\n\n\n

Cette lecture fine permet aux collectivit\u00e9s de d\u00e9passer les moyennes globales souvent trompeuses et de cibler plus pr\u00e9cis\u00e9ment leurs actions : v\u00e9g\u00e9talisation, adaptation du b\u00e2ti, pr\u00e9vention sanitaire ou accompagnement des populations les plus fragiles.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Un exemple de ce que la deeptech peut apporter aux territoires, pour les aider \u00e0 s\u2019adapter au changement climatique<\/strong><\/h2>\n\n\n\n

Au-del\u00e0 du sujet climatique, ce cas d’usage illustre le potentiel de la technologie d\u00e9velopp\u00e9e par Treensight.<\/p>\n\n\n\n

Sant\u00e9 publique, industrie, environnement, mobilit\u00e9, marketing, qualit\u00e9 ou relation client : partout o\u00f9 les organisations disposent de donn\u00e9es nombreuses mais difficiles \u00e0 exploiter, l’approche d\u00e9velopp\u00e9e par la startup permet de transformer la complexit\u00e9 en information compr\u00e9hensible et directement exploitable pour la d\u00e9cision. \u00c0 l’heure o\u00f9 les entreprises et les collectivit\u00e9s cherchent \u00e0 prendre des d\u00e9cisions toujours plus \u00e9clair\u00e9es, Treensight propose une vision originale de la data : une analyse rigoureuse, explicable et accessible, h\u00e9rit\u00e9e de la recherche publique et con\u00e7ue pour ceux qui connaissent le terrain avant de conna\u00eetre les algorithmes.<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Face au r\u00e9chauffement climatique, toutes les zones urbaines ne sont pas \u00e9gales. Certains quartiers cumulent chaleur, fragilit\u00e9s sanitaires et difficult\u00e9s socio-\u00e9conomiques. Mais comment identifier pr\u00e9cis\u00e9ment ces territoires prioritaires pour agir efficacement ? C’est tout l’enjeu d’une \u00e9tude men\u00e9e sur Grenoble et \u00c9chirolles, avec l’appui de la startup deeptech Treensight qui vient de rejoindre le Tarmac. […]<\/p>\n","protected":false},"author":61,"featured_media":67356,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3356,29],"tags":[3367,197,174,206],"class_list":["post-67354","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-rse-evenements","category-evenements","tag-changement-climatique","tag-data","tag-deeptech","tag-rse"],"yoast_head":"\nCanicule, sant\u00e9, pr\u00e9carit\u00e9 : quand la data aide les territoires \u00e0 cibler leurs actions gr\u00e2ce \u00e0 la technologie de Treensight - inovall\u00e9e<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez comment Treensight analyse les donn\u00e9es pour identifier les quartiers vuln\u00e9rables aux canicules et guider l\u2019action publique.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.inovallee.com\/en\/treensight-analyse-donnees-vulnerabilite-climatique\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Canicule, sant\u00e9, pr\u00e9carit\u00e9 : quand la data aide les territoires \u00e0 cibler leurs actions gr\u00e2ce \u00e0 la technologie de Treensight - 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