{"id":711,"date":"2024-01-23T01:01:19","date_gmt":"2024-01-23T00:01:19","guid":{"rendered":"https:\/\/datascience.unifi.it\/eccellenzadisia\/?p=711"},"modified":"2026-01-13T10:07:52","modified_gmt":"2026-01-13T09:07:52","slug":"symposium-on-causality-26-27-september-2024","status":"publish","type":"post","link":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/","title":{"rendered":"Symposium on Causality"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\"><strong>Florence, Italy<br>26-27 September 2024<\/strong><\/h3>\n\n\n\n<p><em><em>A special , interdisciplinary, international&nbsp; <\/em><strong><em>Symposium on Causality<\/em><\/strong><em>&nbsp; has been organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence in collaboration with the Harvard Data Science Initiative, the European University Institute, and other stakeholders.<\/em><\/em><\/p>\n\n\n\n<p><em><br><\/em><em>The <\/em><strong><em>Symposium on Causality<\/em><\/strong><em>&nbsp; was hosted at the <\/em><a href=\"https:\/\/www.museogalileo.it\/en\/\"><em>Museo Galileo<\/em><\/a><em>.<\/em><\/p>\n\n\n\n<p><em>The event was one of several planned to celebrate the centenary of the University of Florence.<\/em><\/p>\n\n\n\n<p><em>The Symposium has been a collection of contributions on the state of the art and future challenges in causality and causal inference for the new era of Data Science.<\/em><\/p>\n\n\n\n<p><em>Four keynote lectures (Guido Imbens, Elizabeth Stuart, Mihaela van der Schaar, Alessandro De Angelis) on the field\u2019s past, present and future from different perspectives and disciplines, plus four roundtables on hot topics in causality and causal inference with experts from academia and the industry have been planned.<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/09\/LOCANDINA_CAUS-SYMPOSIUM-10.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Program<\/a><\/strong><\/h3>\n\n\n\n<h3 class=\"wp-block-heading\"><strong><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/10\/Symposium-lista-partecipanti_v4.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">List of Participants<\/a><\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n<div class=\"gb-container gb-container-ee05523a\">\n\n<h3 class=\"wp-block-heading has-accent-color has-text-color has-link-color wp-elements-21b3111246d376f6faedf3fe59e7802c\"><strong><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/publications\/\" target=\"_blank\" rel=\"noreferrer noopener\">Publications<\/a><\/strong><\/h3>\n\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Photos<\/strong><\/h3>\n\n\n<style type=\"text\/css\">\n#foogallery-gallery-1322 .fg-image { width: 150px; }\n#foogallery-gallery-1322 { --fg-gutter: 10px; }<\/style>\n\t\t\t<div class=\"foogallery foogallery-container foogallery-default foogallery-lightbox-foogallery fg-left fg-default fg-ready fg-light fg-border-thin fg-shadow-outline fg-loading-default fg-loaded-fade-in fg-caption-hover fg-hover-fade fg-hover-zoom\" id=\"foogallery-gallery-1322\" data-foogallery=\"{&quot;item&quot;:{&quot;showCaptionTitle&quot;:true,&quot;showCaptionDescription&quot;:true},&quot;lazy&quot;:true}\" data-foogallery-lightbox=\"{&quot;thumbs&quot;:&quot;bottom&quot;,&quot;thumbsCaptions&quot;:false,&quot;thumbsBestFit&quot;:false,&quot;thumbsSmall&quot;:false,&quot;thumbsCaptionsAlign&quot;:&quot;default&quot;,&quot;info&quot;:&quot;bottom&quot;,&quot;infoVisible&quot;:true,&quot;infoOverlay&quot;:true,&quot;infoAlign&quot;:&quot;default&quot;,&quot;transition&quot;:&quot;fade&quot;,&quot;hoverButtons&quot;:false,&quot;fitMedia&quot;:false,&quot;noScrollbars&quot;:true,&quot;preserveButtonSpace&quot;:true,&quot;buttons&quot;:{&quot;fullscreen&quot;:true,&quot;info&quot;:true,&quot;thumbs&quot;:false},&quot;video&quot;:{&quot;autoPlay&quot;:true}}\" style=\"--fg-title-line-clamp: 0; --fg-description-line-clamp: 0;\" >\n\t<div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio3.jpg\" data-attachment-id=\"1273\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio3\/586196714.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio11.jpg\" data-attachment-id=\"1262\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio11\/2654621092.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio4.jpg\" data-attachment-id=\"1271\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio4\/309330154.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio1.jpg\" data-attachment-id=\"1260\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio1\/1973039029.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio14.jpg\" data-attachment-id=\"1261\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio14\/1830542136.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio2.jpg\" data-attachment-id=\"1272\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio2\/515961560.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio8.jpg\" data-attachment-id=\"1267\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio8\/3565261081.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio13.jpg\" data-attachment-id=\"1263\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio13\/59719502.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio5.jpg\" data-attachment-id=\"1270\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio5\/775967960.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio12.jpg\" data-attachment-id=\"1264\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio12\/3158801910.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio9.jpg\" data-attachment-id=\"1266\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio9\/3903964459.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio6.jpg\" data-attachment-id=\"1269\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio6\/1725156964.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio10.jpg\" data-attachment-id=\"1265\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio10\/569511708.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/Symposio7.jpg\" data-attachment-id=\"1268\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2024\/01\/Symposio7\/1524865622.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2025\/01\/Symposio_foto-di-gruppo.jpg\" data-attachment-id=\"1356\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2025\/01\/Symposio_foto-di-gruppo\/1374246626.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><div class=\"fg-item fg-type-image fg-idle\"><figure class=\"fg-item-inner\"><a href=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2025\/01\/Symposio_canottieri.jpg\" data-attachment-id=\"1357\" data-type=\"image\" class=\"fg-thumb\"><span class=\"fg-image-wrap\"><img decoding=\"async\" width=\"150\" height=\"150\" class=\"skip-lazy fg-image\" data-src-fg=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/cache\/2025\/01\/Symposio_canottieri\/3133211697.jpg\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20width%3D%22150%22%20height%3D%22150%22%20viewBox%3D%220%200%20150%20150%22%3E%3C%2Fsvg%3E\" loading=\"eager\"><\/span><span class=\"fg-image-overlay\"><\/span><\/a><\/figure><div class=\"fg-loader\"><\/div><\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Video <\/strong><\/h3>\n\n\n<div class=\"gb-container gb-container-a9835a40\">\n<div class=\"gb-container gb-container-9cb500cd\">\n<div class=\"gb-grid-wrapper gb-grid-wrapper-3dd6163b\">\n<div class=\"gb-grid-column gb-grid-column-e8e407d0\"><div class=\"gb-container gb-container-e8e407d0\">\n\n<p><strong>Video 1\/4<\/strong><\/p>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-1cdc6e96\"><div class=\"gb-container gb-container-1cdc6e96\">\n\n<p><strong>Video 2\/4<\/strong><\/p>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-7567cc6a\"><div class=\"gb-container gb-container-7567cc6a\">\n\n<p><strong>Video 3\/4<\/strong><\/p>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-6dafadfc\"><div class=\"gb-container gb-container-6dafadfc\">\n\n<p><strong>Video 4\/4<\/strong><\/p>\n\n<\/div><\/div>\n<\/div>\n\n<div class=\"gb-grid-wrapper gb-grid-wrapper-245d9e98\">\n<div class=\"gb-grid-column gb-grid-column-9108856e\"><div class=\"gb-container gb-container-9108856e\">\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Symposium on Causality - Session 1\/4\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/j1S-u0aYDk8?list=PL799379C47038957F\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-15545e7d\"><div class=\"gb-container gb-container-15545e7d\">\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Symposium on Causality - Session 2\/4\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/iBJkjpVlIiQ?list=PL799379C47038957F\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-350f308d\"><div class=\"gb-container gb-container-350f308d\">\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Symposium on Causality - Session 3\/4\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/7aGJpHi99Ik?list=PL799379C47038957F\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-e7f453cf\"><div class=\"gb-container gb-container-e7f453cf\">\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Symposium on Causality - Session 4\/4\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/JTqjfn2zTYQ?list=PL799379C47038957F\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<div class=\"gb-container gb-container-a5a8a041\">\n<div class=\"gb-container gb-container-1ae5e7df\"><\/div>\n\n\n<h4 class=\"wp-block-heading\"><strong>You may also watch the event on the <a href=\"https:\/\/www.youtube.com\/playlist?list=PL799379C47038957F\" target=\"_blank\" rel=\"noreferrer noopener\">Museum youtube channel<\/a><\/strong><\/h4>\n\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n<div class=\"gb-container gb-container-98d6a38c\">\n\n<h4 class=\"wp-block-heading has-accent-color has-text-color has-link-color wp-elements-9f1751f2e488a6bcfd9d7b010f4ad401\"><strong>Keynote Speakers<\/strong><\/h4>\n\n\n<div class=\"gb-container gb-container-f0254f0f\">\n<div class=\"gb-grid-wrapper gb-grid-wrapper-eb6ae283\">\n<div class=\"gb-grid-column gb-grid-column-8ce2c2c0\"><div class=\"gb-container gb-container-8ce2c2c0\">\n\n<figure class=\"gb-block-image gb-block-image-134b1a28\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" class=\"gb-image gb-image-134b1a28\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto1.jpg\" alt=\"\" title=\"foto1\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto1.jpg 500w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto1-300x300.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto1-150x150.jpg 150w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-b38ed99c\"><div class=\"gb-container gb-container-b38ed99c\">\n\n<h5 class=\"gb-headline gb-headline-4378edc6 gb-headline-text\"><a data-type=\"link\" data-id=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f-0.html\" href=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f-0.html\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/www.gsb.stanford.edu\/faculty-research\/faculty\/guido-w-imbens\" target=\"_blank\" rel=\"noreferrer noopener\">Guido Imbens<\/a><\/h5>\n\n\n\n<p>Applied Econometrics Professor and Professor of Economics, Graduate School of Business, Stanford University<\/p>\n\n\n<div class=\"gb-container gb-container-17d11b83 soc-keynote-speaker\">\n\n<span class=\"gb-button gb-button-accab35c gb-button-text soc-title\"><strong>Causal Inference with Panel Data: New Methods and Remaining Challenges<\/strong><\/span>\n\n\n<div class=\"gb-container gb-container-6ef397fa panel\">\n\n<p>In recent years much work has been done on methods for credibly estimating causal effects in settings with panel data. These methods, including synthetic control methods, matrix completion methods and variations thereon have have greatly improved our understanding of the challenges in estimating causal effects with longitudinal data. In this presentation I will describe some of these insights, and also discuss shortcomings of the existing methods. In particular these include the lack of accounting for the time series aspect of the longitudinal data and the challenges for inference. I will discuss new estimators that take the time series dimension more seriously and show how they improve estimation. I will also discuss new methods for inference that improve the power of testing for the presence of causal effects. (based on joint work with Alex Almeida,&nbsp; Susan Athey, Alexia Olaizola,&nbsp; Zhaonan Qu, Alex Almeida,&nbsp; Eva Lestant, and Davide Viviano).<\/p>\n\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"gb-container gb-container-6115431d\">\n<div class=\"gb-grid-wrapper gb-grid-wrapper-309675f1\">\n<div class=\"gb-grid-column gb-grid-column-94ae3acb\"><div class=\"gb-container gb-container-94ae3acb\">\n\n<figure class=\"gb-block-image gb-block-image-83bfdafa\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" class=\"gb-image gb-image-83bfdafa\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_2.jpg\" alt=\"\" title=\"foto_2\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_2.jpg 500w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_2-300x300.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_2-150x150.jpg 150w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-d0e9bc3d\"><div class=\"gb-container gb-container-d0e9bc3d\">\n\n<h5 class=\"gb-headline gb-headline-d4ab63d1 gb-headline-text\"><a href=\"https:\/\/publichealth.jhu.edu\/faculty\/1792\/elizabeth-a-stuart\" target=\"_blank\" rel=\"noreferrer noopener\">Elizabeth A. Stuart<\/a><\/h5>\n\n\n\n<p>Frank Hurley and Catherine Dorrier Professor of Biostatistics, Johns Hopkins Bloomberg School of Public Health<\/p>\n\n\n<div class=\"gb-container gb-container-52ef4f98 soc-keynote-speaker\">\n\n<span class=\"gb-button gb-button-31c4724a gb-button-text soc-title\"><strong><strong>Integrating data for causal inference<\/strong><\/strong><\/span>\n\n\n<div class=\"gb-container gb-container-7c3c0a1e panel\">\n\n<p>Many causal questions of interest cannot be answered through analysis of a single dataset, and as data becomes increasingly available, there is more and more interest in leveraging that data to answer nuanced questions. Such questions might include examining the generalizability of randomized trial results to target populations, to better understanding of effect heterogeneity by combining small (unbiased) randomized trials with large (but confounded) non-experimental data sources. This talk will discuss methods for causal inference in such integrated datasets, including both the promise and potential for doing so, as well as implementation challenges, such as when the measures in the different data sources are discordant. Motivating examples will come from medicine and public health, and with lessons for a range of fields, and with final comments on the broader field of evidence synthesis for causal inference.<\/p>\n\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"gb-container gb-container-3ee7dbff\">\n<div class=\"gb-grid-wrapper gb-grid-wrapper-907105cf\">\n<div class=\"gb-grid-column gb-grid-column-7728774e\"><div class=\"gb-container gb-container-7728774e\">\n\n<figure class=\"gb-block-image gb-block-image-78317868\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" class=\"gb-image gb-image-78317868\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto3.jpg\" alt=\"\" title=\"foto3\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto3.jpg 500w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto3-300x300.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto3-150x150.jpg 150w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-0a7bcced\"><div class=\"gb-container gb-container-0a7bcced\">\n\n<h5 class=\"gb-headline gb-headline-11159b9d gb-headline-text\"><a data-type=\"link\" data-id=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f-0.html\" href=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f-0.html\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/www.gsb.stanford.edu\/faculty-research\/faculty\/guido-w-imbens\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/www.unipd.it\/en\/contatti\/rubrica\/?detail=Y&amp;ruolo=1&amp;checkout=cerca&amp;persona=DE%20ANGELIS&amp;key=C88026E218E1EB5C32194C4BA39899D9\" target=\"_blank\" rel=\"noreferrer noopener\">Alessandro De Angelis<\/a><\/h5>\n\n\n\n<p>Full Professor of Experimental Physics, University of Padova and University of Lisboa<\/p>\n\n\n<div class=\"gb-container gb-container-8aa95607 soc-keynote-speaker\">\n\n<span class=\"gb-button gb-button-90d1314e gb-button-text soc-title\"><strong><strong>Causality in physics: from Galileo to Einstein<\/strong><\/strong><\/span>\n\n\n<div class=\"gb-container gb-container-4654f36e panel\">\n\n<p>Galileo&#8217;s work established a formal concept of causality in physics by using mathematical descriptions of physical processes to predict the evolution of systems from causes. Building on Galileo&#8217;s ideas, Newton formalized this concept within the framework of classical mechanics. In the 19th century, Faraday introduced the concept of field, a region of space where a force operates. Maxwell&#8217;s equations formalized this idea, describing how electric and magnetic fields propagate through space, leading to a new understanding of causality. Finally, Einstein revolutionized the concept of causality with his theories of relativity.<\/p>\n\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"gb-container gb-container-8d41f5e7\">\n<div class=\"gb-grid-wrapper gb-grid-wrapper-53598905\">\n<div class=\"gb-grid-column gb-grid-column-6749faa3\"><div class=\"gb-container gb-container-6749faa3\">\n\n<figure class=\"gb-block-image gb-block-image-bf7fcc3f\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" class=\"gb-image gb-image-bf7fcc3f\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_4.jpg\" alt=\"\" title=\"foto_4\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_4.jpg 500w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_4-300x300.jpg 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/07\/foto_4-150x150.jpg 150w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-b375c413\"><div class=\"gb-container gb-container-b375c413\">\n\n<h5 class=\"gb-headline gb-headline-e01359eb gb-headline-text\"><a data-type=\"link\" data-id=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f-0.html\" href=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f-0.html\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/www.gsb.stanford.edu\/faculty-research\/faculty\/guido-w-imbens\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/www.vanderschaar-lab.com\/prof-mihaela-van-der-schaar\/\" target=\"_blank\" rel=\"noreferrer noopener\">Mihaela van der Schaar<\/a><\/h5>\n\n\n\n<p>John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge<\/p>\n\n\n<div class=\"gb-container gb-container-09eb6300 soc-keynote-speaker\">\n\n<span class=\"gb-button gb-button-73341118 gb-button-text soc-title\"><strong><strong>The Causal Discovery Ladder: Unravelling Governing Equations and Beyond using Machine Learning<\/strong><\/strong><\/span>\n\n\n<div class=\"gb-container gb-container-d58aa06f panel\">\n\n<p>While recent strides in machine learning and statistics have advanced causal inference, several frontiers await exploration in order to make real-world impact. First, I will show how unraveling governing equations from temporal trajectories can deepen our understanding of dynamical systems through causal inference over time. Second, I will explore how causal deep learning can help close the gap between theory and practice, providing practitioners with powerful new ways of thinking and tools. Finally, I will discuss how leveraging real-world observational data can transform various aspects of clinical trials. By pushing these boundaries, we aim to bring causality into practical use, unlocking insights with transformative potential in fields like medicine.<\/p>\n\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading has-accent-color has-text-color has-link-color wp-elements-3b32c08307ec3688c538663c45eb24c6\"><strong>Organizing Committee<\/strong><\/h4>\n\n\n<div class=\"gb-container gb-container-a47b37c7\">\n\n<p><a href=\"https:\/\/sites.google.com\/unifi.it\/veronicaballerini\/home\" target=\"_blank\" rel=\"noreferrer noopener\">Veronica Ballerini<\/a> (University of Florence)<br><a href=\"https:\/\/www.museogalileo.it\/en\/news-archive\/155-news-archive-2021\/2048-a-new-executive-director.html\" target=\"_blank\" rel=\"noreferrer noopener\">Roberto Ferrari<\/a> (Museo Galileo, Firenze)<br><a href=\"https:\/\/sites.google.com\/view\/giuliogrossi\/\" target=\"_blank\" rel=\"noreferrer noopener\">Giulio Grossi<\/a> (University of Florence)<br><a href=\"https:\/\/sites.google.com\/unifi.it\/fabriziamealli\">Fabrizia Mealli<\/a> (European University Institute, University of Florence).<br><a href=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f.html\" target=\"_blank\" rel=\"noreferrer noopener\">Carla Rampichini<\/a> (University of Florence)<br>Marta Mascalchi (University of Florence)<\/p>\n\n\n\n<p>For any questions, please send an email to:&nbsp;<a href=\"mailto:causality.symposium@disia.unifi.it\">causality.symposium@disia.unifi.it<\/a><\/p>\n\n<\/div>\n\n<div class=\"gb-container gb-container-6c91939e\">\n\n<h4 class=\"wp-block-heading has-accent-color has-text-color has-link-color wp-elements-67b88ad6b497e86774859a0a859469b1\"><strong>Scientific Committee<\/strong><\/h4>\n\n\n\n<p><a href=\"https:\/\/sites.google.com\/unifi.it\/fabriziamealli\">Fabrizia Mealli<\/a> &#8211; President (European University Institute, University of Florence)<br><a href=\"https:\/\/www.museogalileo.it\/en\/about-us\/818-departments-and-staff.html?highlight=WyJnaW92YW5uaSIsImRpIiwicGFzcXVhbGUiLCJnaW92YW5uaSBkaSIsImdpb3Zhbm5pIGRpIHBhc3F1YWxlIiwiZGkgcGFzcXVhbGUiXQ==\" target=\"_blank\" rel=\"noreferrer noopener\">Giovanni Di Pasquale<\/a> (Museo Galileo, Firenze)<br><a href=\"https:\/\/datascience.harvard.edu\/directory\/francesca-dominici\/?cp-dir-id=10\" target=\"_blank\" rel=\"noreferrer noopener\">Francesca Dominici<\/a> (Harvard University)<br><a href=\"https:\/\/sites.google.com\/unifi.it\/alessandra-mattei\" target=\"_blank\" rel=\"noreferrer noopener\">Alessandra Mattei<\/a> (University of Florence)<br><a href=\"https:\/\/www.unifi.it\/p-doc2-0-0-A-3f2a3c2e36292f.html\" target=\"_blank\" rel=\"noreferrer noopener\">Carla Rampichini <\/a>(University of Florence)<br><a href=\"https:\/\/sites.google.com\/site\/fcstingo\/\" target=\"_blank\" rel=\"noreferrer noopener\">Francesco Claudio Stingo<\/a> (University of Florence)<\/p>\n\n<\/div>\n\n<div class=\"gb-container gb-container-669d3b99\">\n\n<h4 class=\"wp-block-heading has-accent-color has-text-color has-link-color wp-elements-6b885161e4d645717fc958a2c529cfb7\"><strong>Organizing Secretariat<\/strong><\/h4>\n\n\n\n<p>Stefania Petroni (<a href=\"mailto:stefi@enic.it\" target=\"_blank\" rel=\"noreferrer noopener\">stefi(at)enic.it<\/a>), Valentina Berti (<a href=\"mailto:valentina@enic.it\" target=\"_blank\" rel=\"noreferrer noopener\">valentina<\/a><a href=\"mailto:stefi@enic.it\" target=\"_blank\" rel=\"noreferrer noopener\">(at)<\/a>enic.it)<\/p>\n\n<\/div>\n\n\n<h5 class=\"wp-block-heading\"><\/h5>\n\n\n<div class=\"gb-container gb-container-e6c6199d\">\n<div class=\"gb-grid-wrapper gb-grid-wrapper-74524ffc\">\n<div class=\"gb-grid-column gb-grid-column-c1444c69\"><div class=\"gb-container gb-container-c1444c69\">\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.disia.unifi.it\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"249\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/banner-DISIA-E23-27_positivo-1024x249.png\" alt=\"\" class=\"wp-image-835\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/banner-DISIA-E23-27_positivo-1024x249.png 1024w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/banner-DISIA-E23-27_positivo-300x73.png 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/banner-DISIA-E23-27_positivo-768x187.png 768w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/banner-DISIA-E23-27_positivo.png 1458w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-2fa9e551\"><div class=\"gb-container gb-container-2fa9e551\">\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"3000\" height=\"799\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/01_Museo-Galileo_orizzontale_black.png\" alt=\"\" class=\"wp-image-1124\" srcset=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/01_Museo-Galileo_orizzontale_black.png 3000w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/01_Museo-Galileo_orizzontale_black-300x80.png 300w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/01_Museo-Galileo_orizzontale_black-1024x273.png 1024w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/01_Museo-Galileo_orizzontale_black-768x205.png 768w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/01_Museo-Galileo_orizzontale_black-1536x409.png 1536w, https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/01_Museo-Galileo_orizzontale_black-2048x545.png 2048w\" sizes=\"auto, (max-width: 3000px) 100vw, 3000px\" \/><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-a83ecee4\"><div class=\"gb-container gb-container-a83ecee4\">\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/datascience.harvard.edu\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"92\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/HDSI.jpg\" alt=\"\" class=\"wp-image-1018\"\/><\/a><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-d5bb4326\"><div class=\"gb-container gb-container-d5bb4326\">\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.eui.eu\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"224\" height=\"99\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/EUI.jpg\" alt=\"\" class=\"wp-image-1017\"\/><\/a><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-4f11c09a\"><div class=\"gb-container gb-container-4f11c09a\">\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/fondazionecrfirenze.it\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"111\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/CR_FI.jpg\" alt=\"\" class=\"wp-image-1016\"\/><\/a><\/figure>\n\n<\/div><\/div>\n\n<div class=\"gb-grid-column gb-grid-column-6afedb96\"><div class=\"gb-container gb-container-6afedb96\">\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/datascience.unifi.it\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"265\" height=\"131\" src=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/FDS.jpg\" alt=\"\" class=\"wp-image-1015\"\/><\/a><\/figure>\n\n<\/div><\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p><b>Florence, Italy<\/b><br \/>\nA special , interdisciplinary, international  Symposium on Causality  will organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence in collaboration with the Harvard Data Science Initiative, the European University Institute, and other stakeholders.<\/p>\n","protected":false},"author":3,"featured_media":715,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[11],"tags":[],"class_list":["post-711","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-past-events","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Symposium on Causality - Rethinking Data Science<\/title>\n<meta name=\"description\" content=\"A Symposium on Causality\u00a0 will be organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence.\" \/>\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\/past-events\/symposium-on-causality-26-27-september-2024\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Symposium on Causality - Rethinking Data Science\" \/>\n<meta property=\"og:description\" content=\"A Symposium on Causality\u00a0 will be organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/\" \/>\n<meta property=\"og:site_name\" content=\"Rethinking Data Science\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-23T00:01:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-13T09:07:52+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/simposio_casualita.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"francesco cipriani\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"francesco cipriani\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/\"},\"author\":{\"name\":\"francesco cipriani\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#\\\/schema\\\/person\\\/5dfb6eab7ecad95a328ae849cd02f461\"},\"headline\":\"Symposium on Causality\",\"datePublished\":\"2024-01-23T00:01:19+00:00\",\"dateModified\":\"2026-01-13T09:07:52+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/\"},\"wordCount\":927,\"publisher\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/simposio_casualita.jpg\",\"articleSection\":[\"Past Events\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/\",\"url\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/\",\"name\":\"Symposium on Causality - Rethinking Data Science\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/simposio_casualita.jpg\",\"datePublished\":\"2024-01-23T00:01:19+00:00\",\"dateModified\":\"2026-01-13T09:07:52+00:00\",\"description\":\"A Symposium on Causality\u00a0 will be organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/#primaryimage\",\"url\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/simposio_casualita.jpg\",\"contentUrl\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/simposio_casualita.jpg\",\"width\":1200,\"height\":600},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/past-events\\\/symposium-on-causality-26-27-september-2024\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Symposium on Causality\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#website\",\"url\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/\",\"name\":\"Rethinking Data Science\",\"description\":\"Advances in causal inference and statistical learning\",\"publisher\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#organization\",\"name\":\"Rethinking Data Science\",\"url\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/reds.png\",\"contentUrl\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/reds.png\",\"width\":512,\"height\":223,\"caption\":\"Rethinking Data Science\"},\"image\":{\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#\\\/schema\\\/logo\\\/image\\\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/#\\\/schema\\\/person\\\/5dfb6eab7ecad95a328ae849cd02f461\",\"name\":\"francesco cipriani\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/6abf0acdd5fe0deba8091dabad81fe69f2e6a6eb48b97644e7a0b520f69cb097?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/6abf0acdd5fe0deba8091dabad81fe69f2e6a6eb48b97644e7a0b520f69cb097?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/6abf0acdd5fe0deba8091dabad81fe69f2e6a6eb48b97644e7a0b520f69cb097?s=96&d=mm&r=g\",\"caption\":\"francesco cipriani\"},\"url\":\"https:\\\/\\\/datascience.unifi.it\\\/eccellenzadisia\\\/author\\\/disia_frnsc\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Symposium on Causality - Rethinking Data Science","description":"A Symposium on Causality\u00a0 will be organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/","og_locale":"en_US","og_type":"article","og_title":"Symposium on Causality - Rethinking Data Science","og_description":"A Symposium on Causality\u00a0 will be organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence.","og_url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/","og_site_name":"Rethinking Data Science","article_published_time":"2024-01-23T00:01:19+00:00","article_modified_time":"2026-01-13T09:07:52+00:00","og_image":[{"width":1200,"height":600,"url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/simposio_casualita.jpg","type":"image\/jpeg"}],"author":"francesco cipriani","twitter_card":"summary_large_image","twitter_misc":{"Written by":"francesco cipriani","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/#article","isPartOf":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/"},"author":{"name":"francesco cipriani","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#\/schema\/person\/5dfb6eab7ecad95a328ae849cd02f461"},"headline":"Symposium on Causality","datePublished":"2024-01-23T00:01:19+00:00","dateModified":"2026-01-13T09:07:52+00:00","mainEntityOfPage":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/"},"wordCount":927,"publisher":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#organization"},"image":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/#primaryimage"},"thumbnailUrl":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/simposio_casualita.jpg","articleSection":["Past Events"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/","url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/","name":"Symposium on Causality - Rethinking Data Science","isPartOf":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#website"},"primaryImageOfPage":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/#primaryimage"},"image":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/#primaryimage"},"thumbnailUrl":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/simposio_casualita.jpg","datePublished":"2024-01-23T00:01:19+00:00","dateModified":"2026-01-13T09:07:52+00:00","description":"A Symposium on Causality\u00a0 will be organized by the Department of Statistics, Computer Sciences and Applications of the University of Florence.","breadcrumb":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/#primaryimage","url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/simposio_casualita.jpg","contentUrl":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2024\/01\/simposio_casualita.jpg","width":1200,"height":600},{"@type":"BreadcrumbList","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/past-events\/symposium-on-causality-26-27-september-2024\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/datascience.unifi.it\/eccellenzadisia\/"},{"@type":"ListItem","position":2,"name":"Symposium on Causality"}]},{"@type":"WebSite","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#website","url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/","name":"Rethinking Data Science","description":"Advances in causal inference and statistical learning","publisher":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascience.unifi.it\/eccellenzadisia\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#organization","name":"Rethinking Data Science","url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#\/schema\/logo\/image\/","url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2023\/12\/reds.png","contentUrl":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-content\/uploads\/2023\/12\/reds.png","width":512,"height":223,"caption":"Rethinking Data Science"},"image":{"@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/datascience.unifi.it\/eccellenzadisia\/#\/schema\/person\/5dfb6eab7ecad95a328ae849cd02f461","name":"francesco cipriani","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/6abf0acdd5fe0deba8091dabad81fe69f2e6a6eb48b97644e7a0b520f69cb097?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/6abf0acdd5fe0deba8091dabad81fe69f2e6a6eb48b97644e7a0b520f69cb097?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/6abf0acdd5fe0deba8091dabad81fe69f2e6a6eb48b97644e7a0b520f69cb097?s=96&d=mm&r=g","caption":"francesco cipriani"},"url":"https:\/\/datascience.unifi.it\/eccellenzadisia\/author\/disia_frnsc\/"}]}},"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/posts\/711","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/comments?post=711"}],"version-history":[{"count":91,"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/posts\/711\/revisions"}],"predecessor-version":[{"id":1547,"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/posts\/711\/revisions\/1547"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/media\/715"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/media?parent=711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/categories?post=711"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascience.unifi.it\/eccellenzadisia\/wp-json\/wp\/v2\/tags?post=711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}