{"id":2,"date":"2023-09-15T18:02:34","date_gmt":"2023-09-15T16:02:34","guid":{"rendered":"https:\/\/datascience.unifi.it\/eccellenzadisia\/?page_id=2"},"modified":"2024-03-01T17:33:48","modified_gmt":"2024-03-01T16:33:48","slug":"pagina-di-esempio","status":"publish","type":"page","link":"https:\/\/datascience.unifi.it\/eccellenzadisia\/","title":{"rendered":"DiSIA"},"content":{"rendered":"<div class=\"gb-container gb-container-37481506\">\n\n<h1 class=\"gb-headline gb-headline-e901f2be gb-headline-text\">Rethinking Data Science (ReDS)&nbsp;<\/h1>\n\n\n\n<h2 class=\"gb-headline gb-headline-3ca8fd81 gb-headline-text\">Advances in causal inference and statistical learning<\/h2>\n\n\n\n<p><strong>DiSIA<\/strong> represents a relevant national and international center for the disciplines involved in knowledge production based on the intense use of data to support decision-making processes.<\/p>\n\n\n\n<p><strong>Project of Excellence of DiSIA Department<\/strong><\/p>\n\n\n\n<p><strong>ReDS, the 2023-2027 project of excellence<\/strong>, will lead the DiSIA to become an international hub for the statistical and causal analysis of complex data; the project will result in training a new generation of <strong>Data Scientists<\/strong>.<\/p>\n\n\n<div class=\"gb-container gb-container-736621e3\">\n\n<a class=\"gb-button gb-button-c6c830a5\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/about\/\"><span class=\"gb-button-text\"><strong>Read<\/strong><\/span><span class=\"gb-icon\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 256 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M224.3 273l-136 136c-9.4 9.4-24.6 9.4-33.9 0l-22.6-22.6c-9.4-9.4-9.4-24.6 0-33.9l96.4-96.4-96.4-96.4c-9.4-9.4-9.4-24.6 0-33.9L54.3 103c9.4-9.4 24.6-9.4 33.9 0l136 136c9.5 9.4 9.5 24.6.1 34z\"><\/path><\/svg><\/span><\/a>\n\n<\/div>\n<\/div>\n\n<div class=\"gb-container gb-container-bbda5e46 alignfull\">\n<div class=\"gb-container gb-container-1ae0ebd0\">\n\n<h2 class=\"gb-headline gb-headline-cea20f1e gb-headline-text\">Events&nbsp;<\/h2>\n\n\n<ul class=\"wp-block-latest-posts__list is-grid columns-2 event-grid wp-block-latest-posts\"><li><div class=\"wp-block-latest-posts__featured-image\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/events\/the-data-research-camp-2026\/\" aria-label=\"The Data Research Camp 2026\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2026\/01\/DRC26-1024x576.jpg\" class=\"attachment-large size-large wp-post-image\" alt=\"\" style=\"\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2026\/01\/DRC26-1024x576.jpg 1024w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2026\/01\/DRC26-300x169.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2026\/01\/DRC26-768x432.jpg 768w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2026\/01\/DRC26.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/div><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/events\/the-data-research-camp-2026\/\">The Data Research Camp 2026<\/a><div class=\"wp-block-latest-posts__post-excerpt\"><b>The Data Research Camp 2026 <\/b>of the Department of Statistics, Computer Science, Applications at the University of Florence is a free 5-day meeting taking place in Florence. To <b>submit your application click <a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/events\/the-data-research-camp-2026\/#SubmitApplication26\">here<\/b><\/a>.<br>The Data Research Camp is designed to allow young scholars to explore Statistics and Data Science to extract new knowledge from data. Participants will work in teams under the guidance of senior researchers with significant expertise in various areas of statistics.<\/div><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n<div class=\"gb-container gb-container-85bf0d8d\">\n\n<h2 class=\"gb-headline gb-headline-d74d8af5 gb-headline-text\">Related projects<\/h2>\n\n\n<ul class=\"wp-block-latest-posts__list is-grid columns-3 event-grid wp-block-latest-posts\"><li><div class=\"wp-block-latest-posts__featured-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/05\/DLT-FRUIT-A-user-centered-framework-for-facilitating-DLTs-FRUITion-1024x512.jpg\" class=\"attachment-large size-large wp-post-image\" alt=\"\" style=\"\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/05\/DLT-FRUIT-A-user-centered-framework-for-facilitating-DLTs-FRUITion-1024x512.jpg 1024w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/05\/DLT-FRUIT-A-user-centered-framework-for-facilitating-DLTs-FRUITion-300x150.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/05\/DLT-FRUIT-A-user-centered-framework-for-facilitating-DLTs-FRUITion-768x384.jpg 768w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/05\/DLT-FRUIT-A-user-centered-framework-for-facilitating-DLTs-FRUITion.jpg 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/div><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/follow-up-projects\/dlt-fruit-a-user-centered-framework-for-facilitating-dlts-fruition\/\">DLT-FRUIT &#8211; A user centered framework for facilitating DLTs FRUITion<\/a><\/li>\n<li><div class=\"wp-block-latest-posts__featured-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/03\/famiglia-1024x512.jpg\" class=\"attachment-large size-large wp-post-image\" alt=\"\" style=\"\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/03\/famiglia-1024x512.jpg 1024w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/03\/famiglia-300x150.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/03\/famiglia-768x384.jpg 768w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/03\/famiglia.jpg 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/div><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/follow-up-projects\/beyond-the-nuclear-family-extended-kinship-and-mental-health-in-italy-kinhealth\/\">KinHealth &#8211; Beyond the nuclear family: Extended kinship and mental health in Italy\u00a0<\/a><\/li>\n<li><div class=\"wp-block-latest-posts__featured-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/from_highschool_to_univercity-1024x512.jpg\" class=\"attachment-large size-large wp-post-image\" alt=\"\" style=\"\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/from_highschool_to_univercity-1024x512.jpg 1024w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/from_highschool_to_univercity-300x150.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/from_highschool_to_univercity-768x384.jpg 768w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/from_highschool_to_univercity.jpg 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/div><a class=\"wp-block-latest-posts__post-title\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/follow-up-projects\/from-high-school-to-university-assessing-peers-influence-in-educational-inequalities-and-performances\/\">From high school to university: Assessing peers\u2019 influence in educational inequalities and performances<\/a><\/li>\n<\/ul>\n\n<div class=\"gb-container gb-container-7a9f765c\">\n\n<a class=\"gb-button gb-button-bb41d844\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/category\/follow-up-projects\/\"><span class=\"gb-button-text\"><strong>View all<\/strong><\/span><span class=\"gb-icon\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 256 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M224.3 273l-136 136c-9.4 9.4-24.6 9.4-33.9 0l-22.6-22.6c-9.4-9.4-9.4-24.6 0-33.9l96.4-96.4-96.4-96.4c-9.4-9.4-9.4-24.6 0-33.9L54.3 103c9.4-9.4 24.6-9.4 33.9 0l136 136c9.5 9.4 9.5 24.6.1 34z\"><\/path><\/svg><\/span><\/a>\n\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Rethinking Data Science (ReDS)&nbsp; Advances in causal inference and statistical learning DiSIA represents a relevant national and international center for the disciplines involved in knowledge production based on the intense use of data to support &#8230; <a title=\"DiSIA\" class=\"read-more\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/\" aria-label=\"Read more about DiSIA\">Read<\/a><\/p>\n","protected":false},"author":3,"featured_media":784,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":{"0":"post-2","1":"page","2":"type-page","3":"status-publish","4":"has-post-thumbnail","6":"no-featured-image-padding"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DiSIA - Rethinking Data Science<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DiSIA - Rethinking Data Science\" \/>\n<meta property=\"og:description\" content=\"Rethinking Data Science (ReDS)&nbsp; 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