{"id":4627,"date":"2022-09-05T10:13:04","date_gmt":"2022-09-05T08:13:04","guid":{"rendered":"https:\/\/datascience.unifi.it\/?p=4627"},"modified":"2025-11-27T17:13:02","modified_gmt":"2025-11-27T16:13:02","slug":"agenda-2030-and-territorial-analysis-gis-tools-to-support-local-policies-for-sustainable-development-arco-action-research-for-co-development","status":"publish","type":"post","link":"https:\/\/datascience.unifi.it\/index.php\/2022\/09\/05\/agenda-2030-and-territorial-analysis-gis-tools-to-support-local-policies-for-sustainable-development-arco-action-research-for-co-development\/","title":{"rendered":"Agenda 2030 and territorial analysis: GIS tools to support local policies for sustainable development &#8211; ARCO-Action Research for CO-development"},"content":{"rendered":"<p>The Florence Center for Data Science is happy to forward you this opportunity offered by one of our Associate Research Units,\u00a0<a href=\"https:\/\/www.arcolab.org\/en\/\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.arcolab.org\/en\/&amp;source=gmail&amp;ust=1662451347353000&amp;usg=AOvVaw2RH6jEyuYvbwL4uKjHXh6G\">ARCO-Action Research for CO-development<\/a>.ARCO is launching a training course on \u201c<i>Agenda 2030 and territorial analysis: GIS tools to support local policies for sustainable development<\/i>\u201d.\u00a0You can find the flyer <a style=\"background-color: #ffffff; font-size: 0.875rem;\" href=\"https:\/\/drive.google.com\/file\/d\/1zVpkUz07MUl80vnjZqRlAsIiDsjnQTeX\/view?usp=sharing\">here<\/a>. For more info, you can visit their <a style=\"background-color: #ffffff; font-size: 0.875rem;\" href=\"https:\/\/www.arcolab.org\/en\/strumenti-gis-agenda-2030\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.arcolab.org\/en\/strumenti-gis-agenda-2030&amp;source=gmail&amp;ust=1662451347354000&amp;usg=AOvVaw2cRUlTKvxQbUd_MsKK_QEF\">website<\/a>\u00a0If you need more clarification, you can contact\u00a0<a style=\"background-color: #ffffff; font-size: 0.875rem;\" href=\"mailto:andrea.ferrannini@arcolab.org\" target=\"_blank\" rel=\"noopener\">Andrea Ferranini<\/a>\t\t<\/p>\n<h4>About<\/h4>\n<p>\t\tGIS tools are useful for carrying out\u00a0territorial analysis capable of\u00a0accurately represent e\u00a0the territories are innovative, in order to plan and\u00a0promote Sustainable Development, without\u00a0leave no one and no place behind.\u00a0<\/p>\n<p>Objectives:\u00a0 Teach participants the skills to use GIS tools in order to conduct territorial analyzes of data space for the definition of local development policies sustainable.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Florence Center for Data Science is happy to forward you this opportunity offered by one of our Associate Research Units,\u00a0ARCO-Action Research for CO-development.ARCO is launching a training course on &#8230;<\/p>\n","protected":false},"author":1,"featured_media":4634,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[19,77,23],"tags":[],"class_list":["post-4627","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education","category-opportunities","category-short-course"],"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/4627","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/comments?post=4627"}],"version-history":[{"count":6,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/4627\/revisions"}],"predecessor-version":[{"id":4633,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/4627\/revisions\/4633"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media\/4634"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media?parent=4627"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/categories?post=4627"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tags?post=4627"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}