{"id":310,"date":"2021-09-17T19:35:40","date_gmt":"2021-09-17T19:35:40","guid":{"rendered":"https:\/\/www2.kios.ucy.ac.cy\/ARTION\/?page_id=310"},"modified":"2025-02-13T08:03:34","modified_gmt":"2025-02-13T08:03:34","slug":"training-material","status":"publish","type":"page","link":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/training-material\/","title":{"rendered":"Training Material"},"content":{"rendered":"\n<div class=\"wp-block-group alignfull\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<p class=\"tw-text-wide has-large-font-size\" style=\"line-height:1.5\">The following training material (i.e., presentations and accompanying training manual) is created within the framework of the activities of the ARTION project. <\/p>\n\n\n\n<p class=\"tw-text-wide has-large-font-size\" style=\"line-height:1.5\">One of the four strategic pillars of ARTION is devoted to training and networking aiming to upskill first responder stakeholders by exemplifying AI technologies, detaining the data collection and analysis procedures and setting the expectations on what can be achieved by AI tools. <\/p>\n\n\n\n<p class=\"tw-text-wide has-large-font-size\" style=\"line-height:1.5\">The training material covers the following aspects: An introduction that aims to highlight the usefulness and motivation behind the employment of AI for disaster management, an introduction to AI that aims to provide a brief background on this scientific field, a selection of topics on AI for disaster management and and a detailed approach on testing and evaluating AI technologies for disaster management.<\/p>\n\n\n\n<p><\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group alignfull\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns alignwide tw-gutter-large tw-cols-stack-md is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Presentations<\/h3>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/Part-I-Employing-Artificial-Intelligence-in-Disaster-Management.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Embed of Part-I-Employing-Artificial-Intelligence-in-Disaster-Management..\"><\/object><a id=\"wp-block-file--media-8158e6a6-060b-46d1-b507-d4cce7e02708\" href=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/Part-I-Employing-Artificial-Intelligence-in-Disaster-Management.pdf\">Part-I-Employing-Artificial-Intelligence-in-Disaster-Management<\/a><a href=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/Part-I-Employing-Artificial-Intelligence-in-Disaster-Management.pdf\" class=\"wp-block-file__button\" download aria-describedby=\"wp-block-file--media-8158e6a6-060b-46d1-b507-d4cce7e02708\">Download<\/a><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/Part-II-Testing-and-Evaluating-AI-Technologies-for-Disaster-Management.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Embed of Part-II-Testing-and-Evaluating-AI-Technologies-for-Disaster-Management..\"><\/object><a id=\"wp-block-file--media-8247ddc4-4e27-45a4-a650-15d7c71334a7\" href=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/Part-II-Testing-and-Evaluating-AI-Technologies-for-Disaster-Management.pdf\">Part-II-Testing-and-Evaluating-AI-Technologies-for-Disaster-Management<\/a><a href=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/Part-II-Testing-and-Evaluating-AI-Technologies-for-Disaster-Management.pdf\" class=\"wp-block-file__button\" download aria-describedby=\"wp-block-file--media-8247ddc4-4e27-45a4-a650-15d7c71334a7\">Download<\/a><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group alignfull\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns alignwide tw-gutter-large tw-cols-stack-md is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Manual<\/h3>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/D4.1_Training-Manual.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Embed of D4.1_Training-Manual..\"><\/object><a id=\"wp-block-file--media-f3eb2da6-a75a-4afb-a545-da3928063cbf\" href=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/D4.1_Training-Manual.pdf\">D4.1_Training-Manual<\/a><a href=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-content\/uploads\/2022\/07\/D4.1_Training-Manual.pdf\" class=\"wp-block-file__button\" download aria-describedby=\"wp-block-file--media-f3eb2da6-a75a-4afb-a545-da3928063cbf\">Download<\/a><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The following training material (i.e., presentations and accompanying training manual) is created within the framework of the activities of the ARTION project. One of the four strategic pillars of ARTION is devoted to training and networking aiming to upskill first responder stakeholders by exemplifying AI technologies, detaining the data collection and analysis procedures and setting&hellip; <a class=\"more-link\" href=\"https:\/\/www.kios.ucy.ac.cy\/ARTION\/training-material\/\">Continue reading <span class=\"screen-reader-text\">Training Material<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-310","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/pages\/310","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/comments?post=310"}],"version-history":[{"count":6,"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/pages\/310\/revisions"}],"predecessor-version":[{"id":498,"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/pages\/310\/revisions\/498"}],"wp:attachment":[{"href":"https:\/\/www.kios.ucy.ac.cy\/ARTION\/wp-json\/wp\/v2\/media?parent=310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}