{"id":3295,"date":"2024-05-07T13:36:03","date_gmt":"2024-05-07T13:36:03","guid":{"rendered":"https:\/\/iscram2024.ercis.org\/?page_id=3295"},"modified":"2024-06-04T12:15:47","modified_gmt":"2024-06-04T12:15:47","slug":"conference-program-overview","status":"publish","type":"page","link":"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/conference-program-overview\/","title":{"rendered":"CONFERENCE PROGRAM DETAILS"},"content":{"rendered":"<hr\/>\n<h4>CONFERENCE PROGRAM BY DAY<\/h4>\n<p>Explore the detailed conference program below. Extend any day to view its full schedule and associated rooms. Click on a track session or program point to view the relevant information, or use the <a href=\"#tsfinder\"><i class=\"fas fa-magnifying-glass\"><\/i> <strong>Paper Search Tool<\/strong><\/a> to search for specific papers.<\/p>\n<div class=\"schedule-container\">\n<div class=\"highlight-container\">\n<div class=\"faq-question\">\n<strong>Sunday, May 26th<\/strong>\n<\/div>\n<div class=\"faq-answer\">\n<hr\/>\n<div class=\"schedule\" aria-labelledby=\"schedule-heading\">\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-1; grid-row: tracks;\">Room 1<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-2; grid-row: tracks;\">Room 2<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-3; grid-row: tracks;\">Room 3<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-4; grid-row: tracks;\">Room 4<\/div>\n<h2 class=\"time-slot\" style=\"grid-row: time-0900;\">9:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1000;\">10:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1100;\">11:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1200;\">12:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1300;\">1:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1400;\">2:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1500;\">3:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1600;\">4:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1700;\">5:00pm<\/h2>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-0900 \/ time-1300;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop1\"><i class=\"fas fa-people-line\"><\/i> Workshop &#8211; Remote Crowdsourcing<\/a><\/h3>\n<div class=\"session-time\">9:00 &#8211; 13:00<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-2\" style=\"grid-column: track-2; grid-row: time-0900 \/ time-1300;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop2\"><i class=\"fas fa-people-line\"><\/i> Workshop &#8211; Systemic Risks<\/a><\/h3>\n<div class=\"session-time\">9:00 &#8211; 13:00<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-0900 \/ time-1100;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop3\"><i class=\"fas fa-people-line\"><\/i> Workshop &#8211; Bomb Shelters<\/a><\/h3>\n<div class=\"session-time\">9:00 &#8211; 11:00<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1100 \/ time-1300;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop4\"><i class=\"fas fa-people-line\"><\/i> Workshop &#8211; Measuring Stress Levels<\/a><\/h3>\n<div class=\"session-time\">11:00 &#8211; 13:00<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-0900 \/ time-1300;\">\n<h3 class=\"session-title\"><i class=\"fas fa-graduation-cap\"><\/i> Doctoral Colloquium 1\/2<\/h3>\n<div class=\"session-time\">8:30 &#8211; 13:00<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1300 \/ time-1400;\">\n<h3 class=\"session-title\"><i class=\"fas fa-utensils\"><\/i> Lunch Break<\/h3>\n<div class=\"session-time\">13:00 &#8211; 14:00<\/div>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1400 \/ time-1700;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop5\"><i class=\"fas fa-people-line\"><\/i> Workshop &#8211; Using Emergency Response Data<\/a><\/h3>\n<div class=\"session-time\">14:00 &#8211; 17:00<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-2\" style=\"grid-column: track-2; grid-row: time-1400 \/ time-1700;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop6\"><i class=\"fas fa-people-line\"><\/i> Workshop &#8211; Cascading Effects in Health Networks<\/a><\/h3>\n<div class=\"session-time\">14:00 &#8211; 17:00<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1400 \/ time-1615;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop7\"><i class=\"fas fa-people-line\"><\/i> Workshop &#8211; Capability Gaps in Fire Fighting<\/a><\/h3>\n<div class=\"session-time\">14:00 &#8211; 16:15<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1400 \/ time-1700;\">\n<h3 class=\"session-title\"><i class=\"fas fa-graduation-cap\"><\/i> Doctoral Colloquium 2\/2<\/h3>\n<div class=\"session-time\">14:00 &#8211; 17:00<\/div>\n<\/p><\/div>\n<div class=\"session social-session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1800 \/ time-1930;\">\n            <a class=\"session-title\" href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/social-events\/#beerevent\"><i class=\"fas fa-beer-mug-empty\"><\/i> <strong>Traditional Beer Event<\/strong><\/a><\/p>\n<div class=\"session-time\">18:00<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<\/div>\n<div class=\"highlight-container\">\n<div class=\"faq-question\">\n<strong>Monday, May 27th<\/strong>\n<\/div>\n<div class=\"faq-answer\">\n<hr\/>\n<div class=\"schedule\" aria-labelledby=\"schedule-heading\">\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-1; grid-row: tracks;\">Room C1<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-2; grid-row: tracks;\">Room C4<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-3; grid-row: tracks;\">Room C215<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-4; grid-row: tracks;\">Room C205<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-5; grid-row: tracks;\">Room C204<\/div>\n<h2 class=\"time-slot\" style=\"grid-row: time-0900;\">9:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1000;\">10:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1100;\">11:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1200;\">12:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1300;\">1:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1400;\">2:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1500;\">3:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1600;\">4:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1700;\">5:00pm<\/h2>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-0900 \/ time-0930;\">\n<h3 class=\"session-title\"><i class=\"fas fa-door-open\"><\/i>  Conference Welcome<\/h3>\n<div class=\"session-time\">9:00 &#8211; 9:30<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-1\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-0930 \/ time-1015;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/keynotes\/#keynotemonday\"><i class=\"fas fa-person-chalkboard\"><\/i>  Keynote by Jon Hall<\/a><\/h3>\n<div class=\"session-time\">9:30 &#8211; 10:15<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1015 \/ time-1030;\">\n<h3 class=\"session-title\"><i class=\"fas fa-mug-hot\"><\/i>  Coffee Break<\/h3>\n<div class=\"session-time\">10:15 &#8211; 10:30<\/div>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 7 IT Solutions 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 7 1\/3<\/a><\/h3>\n<div class=\"session-name\">IT Solutions<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-2\" style=\"grid-column: track-2; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 14 Analytical Modelling 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 14 1\/2<\/a><\/h3>\n<div class=\"session-name\">Analytical Modeling<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C4<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><i class=\"fas fa-comment\"><\/i> Practitioner Talks 1\/2<\/h3>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C215<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 9 Social Media 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 9 1\/4<\/a><\/h3>\n<div class=\"session-name\">Social Media<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1200 \/ time-1300;\">\n<h3 class=\"session-title\"><i class=\"fas fa-utensils\"><\/i> Lunch Break<\/h3>\n<div class=\"session-time\">12:00 &#8211; 13:00<\/div>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1300 \/ time-1430;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 7 IT Solutions 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 7 2\/3<\/a><\/h3>\n<div class=\"session-name\">IT Solutions<\/div>\n<div class=\"session-time\">13:00 &#8211; 14:30<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-2\" style=\"grid-column: track-2; grid-row: time-1300 \/ time-1430;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 14 Analytical Modelling 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 14 2\/2<\/a><\/h3>\n<div class=\"session-name\">Analytical Modeling<\/div>\n<div class=\"session-time\">13:00 &#8211; 14:30<\/div>\n<div class=\"session-track\">Room C4<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1300 \/ time-1430;\">\n<h3 class=\"session-title\"><i class=\"fas fa-comment\"><\/i> Practitioner Talks 2\/2<\/h3>\n<div class=\"session-time\">13:00 &#8211; 14:30<\/div>\n<div class=\"session-track\">Room C215<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1300 \/ time-1430;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop8\"><i class=\"fas fa-people-line\"><\/i>  Workshop &#8211; Netcentric Crisis Management 1\/2<\/a><\/h3>\n<div class=\"session-time\">13:00 &#8211; 14:30<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session session-5 track-5\" style=\"grid-column: track-5; grid-row: time-1300 \/ time-1430;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 5+6 Wildefire 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 5 &#038; 6 1\/2<\/a><\/h3>\n<div class=\"session-name\">Wildfire<\/div>\n<div class=\"session-time\">13:00 &#8211; 14:30<\/div>\n<div class=\"session-track\">Room C204<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1430 \/ time-1500;\">\n<h3 class=\"session-title\"><i class=\"fas fa-mug-hot\"><\/i>  Coffee Break<\/h3>\n<div class=\"session-time\">14:30 &#8211; 15:00<\/div>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1500 \/ time-1630;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 7 IT Solutions 3');\"><i class=\"fas fa-file-lines\"><\/i> Track 7 3\/3<\/a><\/h3>\n<div class=\"session-name\">IT Solutions<\/div>\n<div class=\"session-time\">15:00 &#8211; 16:30<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1500 \/ time-1630;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 3 Volunteers 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 3 1\/1<\/a><\/h3>\n<div class=\"session-name\">Volunteers<\/div>\n<div class=\"session-time\">15:00 &#8211; 16:30<\/div>\n<div class=\"session-track\">Room C215<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1500 \/ time-1630;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/workshops\/#workshop8\"><i class=\"fas fa-people-line\"><\/i>  Workshop &#8211; Netcentric Crisis Management 2\/2<\/a><\/h3>\n<div class=\"session-time\">15:00 &#8211; 16:30<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session session-5 track-5\" style=\"grid-column: track-5; grid-row: time-1500 \/ time-1630;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 5+6 Wildefire 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 5 &#038; 6 2\/2<\/a><\/h3>\n<div class=\"session-name\">Wildfire<\/div>\n<div class=\"session-time\">15:00 &#8211; 16:30<\/div>\n<div class=\"session-track\">Room C204<\/div>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1630 \/ time-1730;\">\n<h3 class=\"session-title\"><i class=\"fas fa-people-roof\"><\/i> ISCRAM General Assembly<\/h3>\n<div class=\"session-time\">16:30 &#8211; 17:30<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-4\" style=\"grid-column: track-4; grid-row: time-1630 \/ time-1700;\">\n<h3 class=\"session-title\"><i class=\"fas fa-chalkboard-user\"><\/i> Demonstration<\/h3>\n<div class=\"session-time\">16:30 &#8211; 17:00<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session social-session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1800 \/ time-1930;\">\n            <a class=\"session-title\" href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/social-events\/#welcomereception\"><i class=\"fas fa-door-open\"><\/i> <strong>Welcome Reception at the Dominikanerkirche<\/strong><\/a><\/p>\n<div class=\"session-time\">19:00<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<\/div>\n<div class=\"highlight-container\">\n<div class=\"faq-question\">\n\t\t\t<strong>Tuesday, May 28th<\/strong>\n\t\t<\/div>\n<div class=\"faq-answer\">\n<hr\/>\n<div class=\"schedule\" aria-labelledby=\"schedule-heading\">\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-1; grid-row: tracks;\">Room C1<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-2; grid-row: tracks;\">Room C4<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-3; grid-row: tracks;\">Room C215<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-4; grid-row: tracks;\">Room C205<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-5; grid-row: tracks;\">Room C204<\/div>\n<h2 class=\"time-slot\" style=\"grid-row: time-0900;\">9:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1000;\">10:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1100;\">11:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1200;\">12:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1300;\">1:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1400;\">2:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1500;\">3:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1600;\">4:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1700;\">5:00pm<\/h2>\n<div class=\"session session-2 track-1\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-0900 \/ time-1000;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/keynotes\/#keynotetuesday\"><i class=\"fas fa-person-chalkboard\"><\/i> Keynote by Mark Haselkorn<\/a><\/h3>\n<div class=\"session-time\">9:00 &#8211; 10:00<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1000 \/ time-1030;\">\n<h3 class=\"session-title\"><i class=\"fas fa-mug-hot\"><\/i>  Coffee Break<\/h3>\n<div class=\"session-time\">10:00 &#8211; 10:30<\/div>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><i class=\"fas fa-chalkboard-user\"><\/i> Poster Session<\/h3>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 1+2 Command &#038; Control + GIS 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 1 &#038; 2 1\/2<\/a><\/h3>\n<div class=\"session-name\">C2 | GIS<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C215<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 9 Social Media 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 9 2\/4<\/a><\/h3>\n<div class=\"session-name\">Social Media<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session session-5 track-5\" style=\"grid-column: track-5; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 10 Impact-driven Emergency 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 10 1\/2<\/a><\/h3>\n<div class=\"session-name\">Impact-driven CM<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C204<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1200 \/ time-1300;\">\n<h3 class=\"session-title\"><i class=\"fas fa-utensils\"><\/i> Lunch Break<\/h3>\n<div class=\"session-time\">12:00 &#8211; 13:00<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-1\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1300 \/ time-1345;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/keynotes\/#keynotetuesday2\"><i class=\"fas fa-person-chalkboard\"><\/i> Keynote by Tiina Ristm\u00e4e<\/a><\/h3>\n<div class=\"session-time\">13:00 &#8211; 13:45<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1345 \/ time-1400;\">\n<h3 class=\"session-title\"><i class=\"fas fa-mug-hot\"><\/i>  Coffee Break<\/h3>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1400 \/ time-1530;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/project-symposium\/\"><i class=\"fas fa-people-arrows\"><\/i> Project Symposium 1\/2<\/a><\/h3>\n<div class=\"session-time\">14:00 &#8211; 15:30<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-2\" style=\"grid-column: track-2; grid-row: time-1400 \/ time-1530;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 8 Risk &#038; Community 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 8 1\/2<\/a><\/h3>\n<div class=\"session-name\">Risk Communication &#038; Community Engagement<\/div>\n<div class=\"session-time\">14:00 &#8211; 15:30<\/div>\n<div class=\"session-track\">Room C4<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1400 \/ time-1530;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 11 Healthcare 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 11 1\/2<\/a><\/h3>\n<div class=\"session-name\">Public Health<\/div>\n<div class=\"session-time\">14:00 &#8211; 15:30<\/div>\n<div class=\"session-track\">Room C215<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1400 \/ time-1530;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 9 Social Media 3');\"><i class=\"fas fa-file-lines\"><\/i> Track 9 3\/4<\/a><\/h3>\n<div class=\"session-name\">Social Media<\/div>\n<div class=\"session-time\">14:00 &#8211; 15:30<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session session-5 track-5\" style=\"grid-column: track-5; grid-row: time-1400 \/ time-1530;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 12 Visions 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 12 1\/2<\/a><\/h3>\n<div class=\"session-name\">Visions for Future CM<\/div>\n<div class=\"session-time\">14:00 &#8211; 15:30<\/div>\n<div class=\"session-track\">Room C204<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1530 \/ time-1600;\">\n<h3 class=\"session-title\"><i class=\"fas fa-mug-hot\"><\/i>  Coffee Break<\/h3>\n<div class=\"session-time\">15:30 &#8211; 16:00<\/div>\n<\/p><\/div>\n<div class=\"session session-1 track-1\" style=\"grid-column: track-1; grid-row: time-1600 \/ time-1700;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/project-symposium\/\"><i class=\"fas fa-people-arrows\"><\/i> Project Symposium 2\/2<\/a><\/h3>\n<div class=\"session-time\">16:00 &#8211; 17:00<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-2\" style=\"grid-column: track-2; grid-row: time-1600 \/ time-1700;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 8 Risk &#038; Community 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 8 2\/2<\/a><\/h3>\n<div class=\"session-name\">Risk Communication &#038; Community Engagement<\/div>\n<div class=\"session-time\">16:00 &#8211; 17:00<\/div>\n<div class=\"session-track\">Room C4<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1600 \/ time-1700;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 11 Healthcare 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 11 2\/2<\/a><\/h3>\n<div class=\"session-name\">Public Health<\/div>\n<div class=\"session-time\">16:00 &#8211; 17:00<\/div>\n<div class=\"session-track\">Room C215<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1600 \/ time-1700;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 9 Social Media 4');\"><i class=\"fas fa-file-lines\"><\/i> Track 9 4\/4<\/a><\/h3>\n<div class=\"session-name\">Social Media<\/div>\n<div class=\"session-time\">16:00 &#8211; 17:00<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session session-5 track-5\" style=\"grid-column: track-5; grid-row: time-1600 \/ time-1700;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 12 Visions 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 12 2\/2<\/a><\/h3>\n<div class=\"session-name\">Visions for Future CM<\/div>\n<div class=\"session-time\">16:00 &#8211; 17:00<\/div>\n<div class=\"session-track\">Room C204<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1730 \/ time-1930;\">\n            <a class=\"session-title\" href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/social-events\/#galadinner\"><i class=\"fas fa-trophy\"><\/i> <strong>Conference Gala Dinner at Schlossgarten Caf\u00e9<\/strong><\/a><\/p>\n<div class=\"session-time\">18:30<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<\/div>\n<div class=\"highlight-container\">\n<div class=\"faq-question\">\n\t\t\t<strong>Wednesday, May 29th<\/strong>\n\t\t<\/div>\n<div class=\"faq-answer\">\n<hr\/>\n<div class=\"schedule\" aria-labelledby=\"schedule-heading\">\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-1; grid-row: tracks;\">Room C1<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-2; grid-row: tracks;\">Room C4<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-3; grid-row: tracks;\">Room C215<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-4; grid-row: tracks;\">Room C205<\/div>\n<div class=\"track-slot\" aria-hidden=\"true\" style=\"grid-column: track-5; grid-row: tracks;\">Room C204<\/div>\n<h2 class=\"time-slot\" style=\"grid-row: time-0900;\">9:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1000;\">10:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1100;\">11:00am<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1200;\">12:00pm<\/h2>\n<h2 class=\"time-slot\" style=\"grid-row: time-1300;\">1:00pm<\/h2>\n<div class=\"session session-2 track-1\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-0900 \/ time-1000;\">\n<h3 class=\"session-title\"><a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/keynotes\/#keynotewednesday\"><i class=\"fas fa-person-chalkboard\"><\/i> Keynote by Julie Dugdale<\/a><\/h3>\n<div class=\"session-time\">9:00 &#8211; 10:00<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1000 \/ time-1030;\">\n<h3 class=\"session-title\"><i class=\"fas fa-mug-hot\"><\/i> Coffee Break<\/h3>\n<div class=\"session-time\">10:00 &#8211; 10:30<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-2\" style=\"grid-column: track-2; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 4 ICT Usability 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 4 1\/1<\/a><\/h3>\n<div class=\"session-name\">Usability of ICT<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C4<\/div>\n<\/p><\/div>\n<div class=\"session session-3 track-3\" style=\"grid-column: track-3; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 1+2 Command &#038; Control + GIS 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 1 &#038; 2 2\/2<\/a><\/h3>\n<div class=\"session-name\">C2 | GIS<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C215<\/div>\n<\/p><\/div>\n<div class=\"session session-4 track-4\" style=\"grid-column: track-4; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 13 IS Humanitarian 1');\"><i class=\"fas fa-file-lines\"><\/i> Track 13 1\/1<\/a><\/h3>\n<div class=\"session-name\">IS in Hum. Operations<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C205<\/div>\n<\/p><\/div>\n<div class=\"session session-5 track-5\" style=\"grid-column: track-5; grid-row: time-1030 \/ time-1200;\">\n<h3 class=\"session-title\"><a href=\"#tsfinder\" onclick=\"filterByClick('Track 10 Impact-driven Emergency 2');\"><i class=\"fas fa-file-lines\"><\/i> Track 10 2\/2<\/a><\/h3>\n<div class=\"session-name\">Impact-driven CM<\/div>\n<div class=\"session-time\">10:30 &#8211; 12:00<\/div>\n<div class=\"session-track\">Room C204<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1200 \/ time-1215;\">\n<h3 class=\"session-title\"><i class=\"fas fa-mug-hot\"><\/i>  Coffee Break<\/h3>\n<div class=\"session-time\">12:00 &#8211; 12:15<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-1\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1215 \/ time-1300;\">\n<h3 class=\"session-title\"><i class=\"fas fa-comments\"><\/i> <a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/keynotes\/#panel\">Panel Discussion with Julie Dugdale, Jon Hall, Mark Haselkorn, &#038; Tiina Ristm\u00e4e<\/a><\/h3>\n<div class=\"session-time\">12:15 &#8211; 13:00<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-2 track-1\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1300 \/ time-1315;\">\n<h3 class=\"session-title\"><i class=\"fas fa-hands-clapping\"><\/i> Conference Goodbye<\/h3>\n<div class=\"session-time\">13:00 &#8211; 13:15<\/div>\n<div class=\"session-track\">Room C1<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1315 \/ time-1415;\">\n<h3 class=\"session-title\"><i class=\"fas fa-utensils\"><\/i> Lunch Break (or Boxed-Lunch)<\/h3>\n<div class=\"session-time\">13:15<\/div>\n<\/p><\/div>\n<div class=\"session session-7 track-all\" style=\"grid-column: track-1-start \/ track-5-end; grid-row: time-1430 \/ time-1700;\">\n            <a class=\"session-title\" href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/social-events\/#surprise\"><i class=\"fas fa-gift\"><\/i> <strong>Surprise Social Event<\/strong><\/a><\/p>\n<div class=\"session-time\">14:30<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n<hr\/>\n<h4>CONFERENCE PROCEEDINGS<\/h4>\n<div class=\"highlight-container important-container\">To kickstart the exchange early and enrich your journey, we&#8217;re excited to announce that most of our conference proceedings are now available online. Many thanks to all the authors for their outstanding work! You can already find most of the <strong><a href=\"https:\/\/ojs.iscram.org\/index.php\/Proceedings\/issue\/view\/1\"> Conference Proceedings here <i class=\"fas fa-book\"><\/i><\/a><\/strong>.<\/div>\n<hr\/>\n<div id=\"notification\" style=\"display: none;\">\n<div id=\"notificationText\"><\/div>\n<div class=\"notification-buttons\">\n\t<a class=\"notification-button\" href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/my-personal-schedule\/\">Go to Personal Schedule<\/a><br \/>\n\t<button class=\"notification-button\" onclick=\"closeNotification()\">Close<\/button>\n\t<\/div>\n<\/div>\n<div id=\"tsfinder\">\n<h4>PAPER SEARCH TOOL<\/h4>\n<p>Use this tool to search for presentation slots by entering your name or paper title. You can also explore papers on topics of interest via the title or the abstract or find works by familiar authors. Click on a paper to view its abstract. If a paper sounds interesting to you, you may add it to your <a href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/my-personal-schedule\/\"><i class=\"fas fa-scissors\"><\/i> <strong>Personal Schedule<\/strong><\/a>.<\/p>\n<p>        <input type=\"text\" id=\"cPInput\" placeholder=\"Search by title or by author...\"><br \/>\n\t\t<input type=\"text\" id=\"cPAbstractInput\" placeholder=\"Search by abstract...\"><br \/>\n        <select id=\"cPDay\"><option value=\"all\">All Days<\/option><option value=\"Monday, May 27th\">Monday<\/option><option value=\"Tuesday, May 28th\">Tuesday<\/option><option value=\"Wednesday, May 29th\">Wednesday<\/option><\/select><br \/>\n        <select id=\"cPTrack\"><option value=\"all\">All Tracks<\/option><\/select><\/p>\n<h5>Filtered Presentations<\/h5>\n<\/p><\/div>\n<ul id=\"presentationList\" class=\"presentation-list\">\n    <\/ul>\n<script>    \r\n    var jsonString = `\r\n    [\r\n      {\r\n        \"id\": \"7\",\r\n        \"title\": \"Introducing WALKER \\u2013 Safeguarding Cultural Heritage through Evacuation Run Maps\",\r\n        \"authors\": \"Tobias Hellmund, J\\u00fcrgen Mo\\u00dfgraber, J\\u00fcrgen Reuter, Susanne Ri\\u00dfmann, Hermann Bayer and Stefan Deschermeier\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"The crisis management cycle contains the step Preparedness, in which the development of disaster plans takes place. Run plans for fire fighters are a well-established means for enhancing preparedness in public buildings. A wide array of plans is available, serving to aid firefighters in swiftly orienting themselves during emergency situations on-site. These plans may also include detailed information as needed, providing tactical insights into critical elements within the building. In this practitioner paper, we present the adaptation of run plans to the realm of cultural heritage preservation. We utilize the existing format for the communication of information about the safe handling of cultural heritage to the command staff and the fire fighters. These cultural heritage escape plans offer guidance on the safe handling, evacuation procedures, and the prioritization of cultural heritage items in the case of an emergency and can be added to the existing tactical firefighting plans in public cultural heritage institutions. The evacuation plan format has been developed by the Munich County Fire Fighters and was manually implemented for all cultural heritage objects of the Bavarian Palace Department. The format has proven beneficial. With this format, we aim to enhance the preparedness of cultural heritage sites against natural disasters. Given the inherent sensitivity of cultural heritage objects, which require careful handling, these escape plans encompass instructions for the secure dismantling and evacuation of these items to designated safe areas. Furthermore, we introduce the software WALKER, a specialized tool designed for the creation of evacuation plans tailored to cultural heritage contexts. WALKER has been deployed for test usage for cultural heritage institutions for testing and evaluation of its potential. Both evacuation maps and WALKER are part of an integrated crisis management for cultural heritage and can be classified as part of the Preparedness step in the crisis management cycle. Furthermore, when the plans are implemented during the response, they can also be considered part of the phase Response.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 1\"\r\n      },\r\n      {\r\n        \"id\": \"17\",\r\n        \"title\": \"Drone Swarm for Post-Wildfire Hot Spot Detection: Technology Assessment and PoC Demonstrator\",\r\n        \"authors\": \"Micha Sende, Christian Raffelsberger, Samira Hayat, Armin K\\u00f6fler and Alexander Almer\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"Post-wildfire hot spots are a severe problem for fire fighters since they are hard to detect and can reignite fires. The tedious search can be greatly improved by using drones. However, developing and controlling an autonomous drone swarm is a challenging task. An assessment with domain experts reveals the suitability of drone swarms for hot spot detection. We develop a heterogeneous multi-drone system that can support fire fighters by creating thermal and visual aerial images and automating the hot spot detection process. During a joint exercise with a fire fighter brigade we demonstrate that the proposed system is able to autonomously search, detect, and report hot spots. Therefore it is able to speed up the search process while reducing the required number of personnel.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 7 IT Solutions 1\"\r\n      },\r\n      {\r\n        \"id\": \"45\",\r\n        \"title\": \"Chatbot Based Public Sensoring to improve Situational Awareness\",\r\n        \"authors\": \"Hans Betke, Thomas Kox, Sascha Peitzsch, Johannes Boldt and Dustin Reimann\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"In disaster management, any relevant information about the situation can help decision makers to take the right decisions and initiate appropriate response measures. The digitalization of society offers more and more opportunities to gather information from the public. As instant messengers are one of the most widely used communication applications, they offer a broad user base for the collection of situational information. To minimize the effort involved, chatbots offer a promising option for the automated acquisition of specific information via instant messengers. In this paper we present an information system under development for the collection and reproduction of image information for disaster management. We also present the results of a first UTAUT-based evaluation of the current state of development to get an impression of the usability and perceived usefulness of the approach.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 1\"\r\n      },\r\n      {\r\n        \"id\": \"51\",\r\n        \"title\": \"Modular Multi-Platform Interface to Enhance the Situational Awareness of the First Responders\",\r\n        \"authors\": \"Xabier Oregui, Izar Azpiroz, Veronica Ruiz, Blanca Larraga, Alvaro Gutierrez and Igor G. Olaizola\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"Augmented Reality technologies can provide useful information to First Responders in rescue scenarios if their\\\\ndesign is properly adapted to their cognitive and circumstantial requirements. Indeed, biosignals and environmental\\\\nsensors can improve the situational awareness of the professionals working in emergency situations, supporting\\\\nthe decision-making process in critical moments. This study presents the architecture to create a Multi-Platform\\\\nInterface to Enhance the Situational Awareness of First Responders that can be customized through an external\\\\ndashboard. The key to individualizing the interface is the flexible configuration of sensor modules, normally\\\\nmanipulated by the Command Center according to the First Responders\\u2019 rescue context.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 2\"\r\n      },\r\n      {\r\n        \"id\": \"11\",\r\n        \"title\": \"Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts\",\r\n        \"authors\": \"Rabindra Lamsal, Maria Rodriguez Read and Shanika Karunasekera\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Tasks such as semantic search and clustering on crisis-related social media texts enhance our comprehension of crisis discourse, aiding decision-making and targeted interventions. Pre-trained language models have advanced performance in crisis informatics, but their contextual embeddings lack semantic meaningfulness. Although the CrisisTransformers family includes a sentence encoder to address the semanticity issue, it remains monolingual, processing only English texts. Furthermore, employing separate models for different languages leads to embeddings in distinct vector spaces, introducing challenges when comparing semantic similarities between multi-lingual texts. Therefore, we propose multi-lingual sentence encoders (CT-XLMR-SE and CT-mBERT-SE) that embed crisis-related social media texts for over 50 languages, such that texts with similar meanings are in close proximity within the same vector space, irrespective of language diversity. Results in sentence encoding and sentence matching tasks are promising, suggesting these models could serve as robust baselines when embedding multi-lingual crisis-related social media texts. The models are publicly available at: https:\/\/huggingface.co\/crisistransformers.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 9 Social Media 1\"\r\n      },\r\n      {\r\n        \"id\": \"21\",\r\n        \"title\": \"A dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian war\",\r\n        \"authors\": \"Johannes Niu, Mila Stillman, Philipp Seeberger and Anna Kruspe\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Open Source Intelligence (OSINT) refers to intelligence efforts based on freely available data. It has become a\\\\nfrequent topic of conversation on social media, where private users or networks can share their findings. Such data\\\\nis highly valuable in conflicts, both for gaining a new understanding of the situation as well as for tracking the\\\\nspread of misinformation. In this paper, we present a method for collecting such data as well as a novel OSINT\\\\ndataset for the Russo-Ukrainian war drawn from Twitter between January 2022 and July 2023. It is based on an\\\\ninitial search of users posting OSINT and a subsequent snowballing approach to detect more. The final dataset\\\\ncontains almost 2 million Tweets posted by 1040 users. We also provide some first analyses and experiments on the\\\\ndata, and make suggestions for its future usage.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 9 Social Media 1\"\r\n      },\r\n      {\r\n        \"id\": \"42\",\r\n        \"title\": \"The Utility of Community Resilience Models for the Prevention of Online Violence\",\r\n        \"authors\": \"Dante Della Vella, Hoang Long Nguyen and Rajendra Akerkar\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"Online violence is a complex issue transcending national borders with digital and real-world consequences. It is a consequence of hate, fueled by real and perceived injustices. Communities must be able to adapt - improving citizens' social and material conditions to prevent hate from taking root or spreading. Community resilience research focuses on assessing a community's ability to adapt and how well it copes with disruptions both known and unknown. Therefore, community resilience models and methods should be adopted by those working to prevent online violence both to investigate new means of preventing hate speech and to test existing community resilience theory in a new context. This paper will review online violence and community resilience, explain their connection, review community resilience models that may be of interest for violence prevention work, and describe how those models are being used in a project that is currently in progress.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 1\"\r\n      },\r\n      {\r\n        \"id\": \"47\",\r\n        \"title\": \"Data, Methods, and Content: Social Media Analysis in Sudden Onset Disasters and its Usefulness for Decision Makers - A Scoping Review\",\r\n        \"authors\": \"Francesca M\\u00fcller, Sylvia Bach and Fiedrich Frank\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Problem: Despite the potential of artificial intelligence for rapid social media analysis, practical implementation\\\\nremains limited. Approach: We conducted a scoping review using iteratively developed search terms in two\\\\nelectronic databases. We then conducted a descriptive and thematic analysis to capture the key concepts, findings\\\\nand methods in the literature. Results: After reviewing 130 papers, 27 papers were identified that met our inclusion\\\\ncriteria. Four key themes emerged, including tool development, tool performance comparison, gaining insights\\\\nfrom social media data, and usefulness for decision makers. Conclusions: While acknowledging the importance of\\\\nintegrating social media into crisis and disaster management, there is a lack of empirical evidence on data reliability\\\\nand preparation for decision makers. More empirical studies on social media analytics, specifically focusing on\\\\nusefulness for crisis and disaster management, are recommended.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 1\"\r\n      },\r\n      {\r\n        \"id\": \"8\",\r\n        \"title\": \"Possibility of Suppressing Fire-spread in the Event of a Large Earthquake by Greening and Demolishing Vacant Houses\",\r\n        \"authors\": \"Toshihiro Osaragi, Asuka Harada, Takuya Oki and Yoho Sakamoto\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"In recent years, disaster mitigation measures by greening and demolition of vacant houses to prevent large post-earthquake fire spread have been promoted. However, few studies evaluate its effects on reducing property damage and human casualties, especially in vulnerable areas for earthquakes, such as densely built-up wooden residential areas. In this paper, we develop a model to describe the delay of post-earthquake fire spread between neighboring buildings, and incorporate it into the simulation model. Using the integrated model, we evaluate the reduction of the number of burnt-down buildings and human casualties in densely built-up wooden residential areas, and demonstrate the effectiveness of greening and demolition of vacant houses.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 1\"\r\n      },\r\n      {\r\n        \"id\": \"46\",\r\n        \"title\": \"Location and allocation of primary and backup shelters in transboundary disasters\",\r\n        \"authors\": \"Oscar Rodriguez-Espindola, Pavel Albores, Dolores Edwiges Luna-Reyes, Juan Antonio Diaz-Garcia and Sergio Picazo-Vela\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"Disaster management is plagued by uncertainty and chaotic situations, often crossing boundaries and affecting multiple jurisdictions. Collaboration in these settings is complicated, especially when authorities face failure in the infrastructure available leading to facilities operating over capacity and\/or vulnerable people left without support. There are records about those experiences globally. There is a broad literature on shelter location\/allocation, but few articles consider the potential failure facilities and none of those contributions consider the collaboration between multiple jurisdictions. This article introduces a novel bi-objective formulation for shelter location-allocation considering backup facilities for operations involving multiple jurisdictions. This approach is applied to a set of numerical examples and a real case of volcanic eruptions in Mexico. The results show the influence of transboundary coordination on the support provided to disaster victims, the value of backup facilities and the capacity of the model design to provide relevant alternatives in practice.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 1\"\r\n      },\r\n      {\r\n        \"id\": \"52\",\r\n        \"title\": \"Using Optimization Modelling to Determine Locations for Aerial Firefighting Resources Based on Wildfire Risk Data\",\r\n        \"authors\": \"Viktor Sk\\u00f6ld Gustafsson, Tobias Andersson Granberg and Martin Waldemarsson\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"The increase of the global mean temperature likely leads to more frequent and prolonged fire weather periods, with hot and dry conditions. This would also lead to increased frequency and magnitude of wildfires, and increased risk of spatial and temporal co-occurrence. A key to control and suppress wildfires during fire weather is a strong initial response, for which aerial firefighting resources can be used. This paper investigates the potential of optimization modeling to support pre-wildfire location planning of aerial firefighting resources, by developing a mixed-integer programing model and test it on Swedish case data. The model produces useful results given considerably less amount of available input data to determine the locations, compared with the manual planning. With relatively short solution times, it shows potential to support fast relocation of resources during sudden changes of circumstances, and to facilitate implementation of a standard operating procedure, with less expert knowledge dependence.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 1\"\r\n      },\r\n      {\r\n        \"id\": \"58\",\r\n        \"title\": \"Towards a repository for datasets of mass casualty incidents\",\r\n        \"authors\": \"Florentina Hager and Melanie Reuter-Oppermann\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"Many mathematical models and algorithms addressing logistics around mass casualty incidents (MCI) have been\\\\nproposed in the literature. However, hardly any data sets exist that can be used to analyse, validate, and evaluate\\\\napproaches and solutions. As MCI are comparably rare, real-world data is scarce and often extremely sensitive,\\\\nmaking it difficult for researchers to get access and build test datasets. In this paper, we therefore present the first\\\\nsteps towards a repository for the exchange of datasets to facilitate validation and comparison. We first provide\\\\nan overview of potential stakeholders such as working groups, review disaster-related databases and existing\\\\nrepositories for other fields followed by a preliminary taxonomy to identify and structure the relevant entities and\\\\ntheir characteristics within models for disaster management.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 1\"\r\n      },\r\n      {\r\n        \"id\": \"78\",\r\n        \"title\": \"Strategies for Crisis-Responsive Governance: Automated Anomaly Identification in Public Services\",\r\n        \"authors\": \"Hakan Unveren, Ayesh A. Lehyeh, Duygu Pamukcu and Christopher W. Zobel\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"This paper introduces a machine learning tool for service systems, focusing on accurate classification of service\\\\nrequests and swift anomaly detection, particularly crucial during emergencies. Employing a Support Vector\\\\nMachine model, this tool automatically classifies service calls into predefined categories with high accuracy, while\\\\neffectively detecting irregular requests that require specific attention from operators. This approach streamlines\\\\nresource management by reducing the manual categorization workload and enables early detection of emerging\\\\nservice needs. Examining Orange County, Florida 311 System data, with a specific focus on the COVID-19\\\\nperiod, we illustrate the tool's success in automatic request categorization and anomaly detection. Overall, this\\\\ntool presents an effective and practical automation approach to help with efficient resource management of service\\\\nsystems and proactive assessment of public service needs, promising to revolutionize service request management\\\\nduring crises. Future work will explore additional classification models for enhanced accuracy and integrate\\\\nautomated alerts for proactive disaster management.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 1\"\r\n      },\r\n      {\r\n        \"id\": \"55\",\r\n        \"title\": \"Long-Range Human Detection in Drone Camera Images\",\r\n        \"authors\": \"Joris Heemskerk, Tina Mioch, Henry Maathuis and Huib Aldewereld\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing\\\\nadditional information. However, analysing drone footage is time-intensive and cognitively demanding. In this\\\\nresearch, we investigate the use of AI models for the detection of humans in drone footage to aid FRs in tasks such\\\\nas locating victims. Detecting small-scale objects, particularly humans from high altitudes, poses a challenge for AI\\\\nsystems. We present first steps of introducing and evaluating a series of YOLOv8 Convolutional Neural Networks\\\\n(CNNs) for human detection from drone images. The models are fine-tuned on a created drone image dataset of the\\\\nDutch Fire Services and were able to achieve a 53.1% F1-Score, identifying 439 out of 825 humans in the test\\\\ndataset. These preliminary findings, validated by an incident commander, highlight the promising utility of these\\\\nmodels. Ongoing efforts aim to further refine the models and explore additional technologies.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 1\"\r\n      },\r\n      {\r\n        \"id\": \"56\",\r\n        \"title\": \"Inter-professional simulator training for reliable ship-helicopter interactions\",\r\n        \"authors\": \"Thomas L\\u00fcbcke, Hendrik Wilhelm, Oda Schliebusch-Jacob, Tim Kreter, Tanja Martini and Torsten Gerlach\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"This work-in-progress paper presents the preliminary results of an exploratory study on the effectiveness of a simulator training for ad hoc collaboration between sea- and airborne professionals in the field of maritime search and rescue. To enable this training, two different types of simulators were coupled. This coupled simulation environment provided the 49 (preliminary) study participants\\u2014seafaring and helicopter professionals\\u2014with authentic simulator training conditions. Our training was developed and tested using a two-phase approach. In the first phase, we used qualitative methods to identify requirements and design a training using insights from domain experts. In the second phase\\u2014the preliminary results of which are presented here\\u2014we tested the impact of the training on the acquisition and transfer of competencies as rated by the participants. To uncover contingencies of these training effects, we explore demographic predictors. We show which set of participants perceived that they benefited most from the training.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 2\"\r\n      },\r\n      {\r\n        \"id\": \"57\",\r\n        \"title\": \"From Data to Action: A Graph-Based Approach for Decision Support in Civil Protection Operations Planning\",\r\n        \"authors\": \"Sabine Janzen, Natalie Gdanitz, Merlit Kirchh\\u00f6fer, Tobias Spanke and Wolfgang Maass\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"In the face of increasing frequency and severity of crises such as natural disasters, pandemics, and geopolitical\\\\nconflicts, civil protection organizations play a pivotal role in restoring order, rebuilding affected areas, and providing\\\\nsupport to affected populations. However, the efficiency and effectiveness of these organizations in crisis response\\\\nare often hindered by the manual generation of operation plans, characterized by cognitive overload and limited\\\\nanalytic overview. Despite the critical need for data-driven decision support systems, existing approaches primarily\\\\nfocus on early detection of crisis signals or post-crisis planning recommendations, neglecting the crucial upfront\\\\nplanning process. In this work-in-progress paper, we introduce GRETA, a graph-based approach for operations\\\\nplanning in civil protection based on semantically enhanced historical data. GRETA leverages Operational Scenario\\\\nPatterns for conceptual modeling of civil protection operations. By mapping large-scale historical crisis operation\\\\ndata onto this pattern and aggregate the resulting data items to a knowledge graph operationalized in JSON-LD,\\\\nGRETA creates an episodic knowledge representation of past operations, facilitating decision-making for upcoming\\\\ncrisis events. We instantiated and evaluated GRETA in a concrete use case with the German Federal Agency for\\\\nTechnical Relief (THW), utilizing a dataset comprising 157,450 historic crisis operations within Germany from 2012\\\\nto 2022. Our findings demonstrate the potential of GRETA in supporting operations planning in civil protection by\\\\nenhancing efficiency, accuracy, and completeness of resulting plans, while empowering less-experienced planning\\\\nofficers.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 2\"\r\n      },\r\n      {\r\n        \"id\": \"60\",\r\n        \"title\": \"User-tailored visualization of simulation and sensor data for efficient crisis management\",\r\n        \"authors\": \"Nils Winter, Michael Monteforte, Fabian M\\u00fcller, Ines Rohrbach, Philipp Hertweck and Till Martini\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"The availability of all relevant data in a situation report is key for efficient crisis management. The digital twin concept allows for comprehensive data accumulation, both from real-world sensors as well as augmented by simulations. However, the excessive amount and detail of data can hinder usability and discourage users or impede efficient decision making. To still benefit from such emerging technologies, user-tailored data visualization with appropriate filtering and processing is recommended. This work promotes the use of a standardized data aggregation in order to optimize customized data processing through implementation into existing platforms for crisis management. The concept is showcased for three well-established platforms with data accumulated from a standardized digital twin representation of urban critical infrastructure and emergency units. Each of the examples focuses on different facets of visualization as typically demanded by the respective target user group.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 2\"\r\n      },\r\n      {\r\n        \"id\": \"61\",\r\n        \"title\": \"Adapting PLUM: Earthquake Early Warning with Node-Level Processing in New Zealand\",\r\n        \"authors\": \"Chanthujan Chandrakumar, Marion Lara Tan, Caroline Holden, Max T. Stephens and Raj Prasanna\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"Is running the Propagation of Local Undamped Motion (PLUM) algorithm in a community-engaged earthquake early warning (EEW) network feasible, and can it function effectively at the node level without centralised processing units? This study investigates the practicality of deploying the PLUM algorithm within a node-level architecture, shifting away from traditional centralised seismic data processing methods. The study uses cost-effective MEMS-based seismographs to decentralise EEW. The preliminary phase of the research included the deployment of sensors and the establishment of a two-tiered Primary-Secondary node structure for node-level intensity prediction and alert generation, with the sensors functioning as independent prediction points. Future work includes threshold calibration for optimal alert issuance, and network expansion to reduce blind spots. This work-in-progress paper discusses progress towards a scalable, efficient EEW system that could serve as a replicable model for earthquake-prone regions globally, aiming for operational readiness that empowers communities against the threat of earthquakes.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 2\"\r\n      },\r\n      {\r\n        \"id\": \"10\",\r\n        \"title\": \"Uncertainty in Forest Fire Management\",\r\n        \"authors\": \"Nikola Tietze, Thomas Kox, Till B\\u00fcser and Lars Gerhold\",\r\n        \"track\": \"TRACK 5\",\r\n        \"abstract\": \"In forest fire management, uncertainties are inherent. One major challenge for forest fire managers is the uncertainty of whether a fire will start at all, where, when and with what effect. In particular, human negligence and arson are unforeseeable. This research focuses on these uncertainties affecting the\\u00a0 preparatory practices of forest fire managers in Brandenburg, Germany, and\\u00a0 how they are anticipated and dealt with. Qualitative content analysis of expert interviews and focus group discussions generate in-depth insights into the role of uncertainties in the prevention phase and during the control of the event. Findings shows that uncertainties pose barriers to preparatory action. Coping mechanisms rely on individual sensemaking that are in turn influenced by one\\u2019s role, knowledge and experience as well as organizational habits and values. Analysis of German firefighters\\u2019 perceptions of and coping with uncertainty shows that practices of imagination help to anticipate uncertain futures and to cope with dynamic, complex disasters.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 1\"\r\n      },\r\n      {\r\n        \"id\": \"20\",\r\n        \"title\": \"Empirical Investigation of Values Affected by AI Systems for Fire Services\",\r\n        \"authors\": \"Tina Mioch, Huib Aldewereld and Mark A. Neerincx\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"Fire fighters operate in a dangerous, dynamic, and complex environment. Artificial Intelligence (AI) systems can contribute to improve fire fighters' situation awareness and decision-making. However, the introduction of AI systems needs to be done responsibly, taking (human) values into account, especially as the situation in which fire fighters operate is uncertain and decisions have a big impact. In this research, we investigate values that are affected by the introduction of AI systems for fire services by conducting several semi-structured focus group sessions with (operational) fire service personnel. The focus group outcomes are qualitatively analyzed and key values are identified and discussed. This research is a first step in an iterative process towards a generic framework of ethical aspects for the introduction of AI systems in first response, which will give insight into the relevant ethical aspects to take into account when developing AI systems for first responders.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 1\"\r\n      },\r\n      {\r\n        \"id\": \"70\",\r\n        \"title\": \"Networks for Integrated Wildfire Management: A Social Network Analysis Approach\",\r\n        \"authors\": \"Diogo Vallim, Amalia Giannakopoulou, Anna Coco Schmid, David Struthers, Efthymios Altsitsiadis and Isabel Froes\",\r\n        \"track\": \"TRACK 5\",\r\n        \"abstract\": \"Wildfires, exacerbated by climate extremes, pose escalating global threats. Despite advancements in technology, current wildfire management policies lack specific details about integrated management and stakeholder engagement. This study provides empirical evidence on how five European wildfire management contexts are geared towards networked governance models by analyzing how their stakeholder networks are configured through social network analysis (SNA) to address these challenges, t. This is measured by assessing the network configuration and their stakeholder group profiles. At network level the measurements assess the size, density, and diversity of sectors, scalar levels of operation and phases. At stakeholder group level, relevance is assessed by measurements such as in degree, eccentricity, closeness centrality and betweenness centrality. The analysis is completed by a qualitative assessment of the network profile, leading to the discussion on the main factors determining the network configurations and the potential outcomes of these attributes.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 1\"\r\n      },\r\n      {\r\n        \"id\": \"105\",\r\n        \"title\": \"Barriers against data sharing for Disaster Risk Reduction (DRR) at borders\",\r\n        \"authors\": \"Anouck Adrot, Lola Brunet and Henri Isaac\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"Data sharing is a major driver to disaster Risk Reduction (DRR), which is essential to cross-border regions\\u2019\\\\nresilience. However, sharing data for DRR at borders remains challenging and a limited spectrum of regions have\\\\nbeen significantly progressing on this path. While the literature recommends that cross-border regions and\\\\norganizations settle data ecosystems, studies also evidence that ecosystems face difficulties in developing\\\\nsustainable rules for data sharing. A better understanding of the impediments of data sharing in cross-border DRR\\\\necosystems is therefore necessary and remains missing in the literature. This research, based on a qualitative and\\\\ncollaborative design, is a work in progress focusing on the Italian-French border. Based on 24 qualitative\\\\ninterviews and archive analysis, we have identified four major challenges that organizations need to overcome to\\\\nsupport data sharing for DRR at borders. First, cross-border DRR actors struggle harmonizing their perspectives\\\\nover their common environment, whether it is environmental or data-related. Second, they face persistent elements\\\\nof fragmentation, particularly reinforced at frontiers. Third, these organizations meet the challenge of building a\\\\nsustainable bond of trust between one another about data. Fourth, they lack data maturity, thus impeding good use\\\\nof data within the ecosystem. Our findings contribute to a more situated understanding of data sharing at borders\\\\nand call for more consideration of the border settings from practitioners that participate in data sharing.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 1\"\r\n      },\r\n      {\r\n        \"id\": \"37\",\r\n        \"title\": \"Enabling Information Transmission in Low-Throughput Wireless Channels for Aerial Disaster Monitoring Systems\",\r\n        \"authors\": \"Julian Zobel and Ralf Steinmetz\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"The utilization of Unmanned Aerial Vehicles (UAVs) for disaster relief has significantly increased in recent years, especially in the fields of aerial monitoring and communication support. At the same time, research on wireless communication channels between UAVs operating in disaster areas and their base station has been neglected, despite its importance for system operability and information transmission. Therefore, this paper addresses requirements of a suitable data channel on the use case of an Aerial Monitoring System for distributed disaster networks. We put special emphasis on possible applications using low-throughput technologies like LoRa, to enable information transmission on low-cost hardware without centralized infrastructure, which is highly important for UAV applications in disaster scenarios. Specifically, we propose the aggregation of topology information to reduce message sizes and increase usability under challenging network conditions. Our results highlight that the aggregated monitoring information can be transferred to the base station with reasonable delay and reliability, possible with a low-throughput channel as low as 300 bit\/s. At the same time, the aggregated information still maintains an adequate representation of the monitored topology of the distributed disaster network.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 2\"\r\n      },\r\n      {\r\n        \"id\": \"90\",\r\n        \"title\": \"Cascading Effects of Critical Infrastructures in a Flood Scenario: A Case Study in the City of Cologne\",\r\n        \"authors\": \"Moritz Schneider, Peter Priesmeier, Alexander Fekete, Daniel Lichte and Frank Fiedrich\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"Critical infrastructures, which constitute the backbone of our modern society, are increasingly exposed to natural\\\\nhazards. Loss of performance or failure of a critical infrastructure can lead to cascading effects that affect even more\\\\nservices and citizens. Floods, as one of the most prominent natural hazards, are prone to affect multiple critical\\\\ninfrastructures at once, making it even more difficult to assess combined effects of these (cascading) disruptions.\\\\nHospitals are especially vulnerable in a flood scenario, as they are reliant on multiple other infrastructures, such\\\\nas power and water supply or the road network. In order to prepare for upcoming events, sophisticated analysis\\\\ntools are required that are capable of modeling the spatial extent of flood induced disruptions and their impact on\\\\ncritical infrastructure services. In this work, we present a proof of concept that focuses on the impact of multiple\\\\ndisruptions on hospitals. We conducted a case study on an extreme flood scenario in the city of Cologne (Germany).\\\\nHistorically, Cologne has proven vulnerable to river-floods, as thousands of people were affected through floods in\\\\nin 1993 and 1995. The approach is based on a combination of I) a geographic information system, which makes\\\\nthe extent of disruptions spatially explicit and II) a Bayesian network, which is used to assess the impact of one\\\\nor multiple disruptions on a single hospital. We present a work-in-progress approach in this work. The results\\\\ngenerated using this approach enable a first comparative overview of the expected level of services of the examined\\\\nhospitals.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 2\"\r\n      },\r\n      {\r\n        \"id\": \"102\",\r\n        \"title\": \"Homophily in opinion networks affects collective risk perception in heterogeneous populations\",\r\n        \"authors\": \"Francesca Giardini, Daniele Vilone, Lorenzo Zino and Ming Cao\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"Understanding how to accurately inform the population about the risks of disasters is key for the well-functioning of\\\\nour societies. Risk communication is also an essential feature of the disaster cycle, fundamentally contributing to\\\\npreparedness but also to management. Here, we use an agent-based model (ABM) to investigate such an important\\\\nproblem. Specifically, we study the emergent behavior of a population of individuals who revise their opinion on the\\\\nrisk of a certain event, based on information received from an institution, processed through individual sensitivity,\\\\nand discussed with peers. Such a complex process may include several biases, e.g., due to heterogeneous risk\\\\nperception across the population, and homophily, i.e., tendency of individuals to interact with like-minded people.\\\\nOur ABM, which encapsulates these crucial features, allows us to perform a campaign of numerical simulations\\\\ntowards gaining mathematically-grounded insights into their impact on the emergent behavior of the population and,\\\\nultimately, on how accurately institutional information is received and processed by a population. Such insights\\\\ncan be useful to design empirical studies to test them and, in case of empirical support, to use them to design\\\\nrecommendations for policy decision makers.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 2\"\r\n      },\r\n      {\r\n        \"id\": \"103\",\r\n        \"title\": \"Towards training network resilience to maintain disaster recovery expertise\",\r\n        \"authors\": \"Paul Savignac, Eva Petitdemange, Christopher Zobel, Nicolas Cellier, Robert Weisz and Matthieu Lauras\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"Effective disaster recovery depends on highly-skilled practitioners. Like any sector, however, the education and\\\\ntraining systems that build these skills can experience crises that disrupt their ability to function effectively. These\\\\ncan be one-off events (e.g. a major flood) or extend over long periods (e.g. a pandemic or a vocational crisis). Based\\\\non the observation that there is a shortage of trainers and teachers in the education sector, as shown by indicator D7\\\\n(OECD, 2023), in this article we study the ongoing ability of a French vocational training organization to transmit\\\\nskills that are useful to society in the event of a natural disaster, and in particular those that will shorten the recovery\\\\ntime of buildings and infrastructures. We propose a model that simulates the flow of people through the educational\\\\nsystem and the institution\\u2019s ability to generate enough trainers to maintain a chain of know-how transmission. In\\\\nthe simulation of this work in progress, we have parameterized the actual success rates, which we vary in order to\\\\ndefine a minimum success rate limit to ensure the renewal of human capital. Based on the proposed model, further\\\\ntesting and analysis will be used to characterize a range of resilient flow behaviors and to provide recommendations\\\\nfor maintaining the condition of the human know-how transmission chain.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 2\"\r\n      },\r\n      {\r\n        \"id\": \"136\",\r\n        \"title\": \"Sensitivity Analysis of a Road Clearing and Relief Supplies Distribution Model for Vancouver Island in the Event of a Cascadia Megathrust Earthquake\",\r\n        \"authors\": \"Ronald Pelot, Pranitha Vattoni, Luana Souza Almeida and Floris Goerlandt\",\r\n        \"track\": \"TRACK 14\",\r\n        \"abstract\": \"Southwestern British Columbia is the most seismically active region in Canada because of its proximity to the Cascadia Subduction zone. To improve emergency preparedness for Vancouver Island, models have previously been developed to estimate the potential damage to infrastructure from a major earthquake, to consider community resilience while awaiting relief supplies, and to optimize procedures for repairing damaged roads and routing trucks from marine terminals to needy communities during the 72-hour emergency response phase. However there are large uncertainties in the disaster impacts, and numerous assumptions in the models\\u2019 parameters, so this study serves to conduct sensitivity analysis on several of the factors to produce more robust recommendations from the model outcomes including: best depot location for road-clearing teams; most critical roads for supply distribution; most critical ports for supply distribution; and the effect of incorporating a community resilience measure. Effective display of results is an important consideration.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"13:00 - 14:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 14 Analytical Modelling 2\"\r\n      },\r\n      {\r\n        \"id\": \"79\",\r\n        \"title\": \"A Study on The Frequency Characteristics of Typhoon Landing in Guangdong, China Based on Machine Learning Methods\",\r\n        \"authors\": \"Chenning Pan, Xiaoyong Ni, Ruoxi Lai, Dafeng Ma and Xifan Shen\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"Located in the southern coastal region of China, Guangdong Province is perennially threatened by typhoons originating from the Northwest Pacific Ocean. Compared to studies focusing on typhoon intensity, paths, and catastrophic effects, research on typhoon landing frequency features remains relatively limited. This study systematically constructs a dataset based on the landing typhoon frequency of Guangdong over 71 years (as the target variable) and a set of 88 atmospheric circulation indices as well as 26 sea surface temperature indices (as the potential feature variables). Two machine learning models, including Random Forest Regression (RR) and Support Vector Regression (SVR), are used to predict the frequency of typhoons making landfall in Guangdong, and the results show that both models have good characterisation ability while the RR model has slightly better fitting performance on the training set. This study provides scientific support for understanding the characteristics of typhoons in Guangdong and better responding to typhoon disasters.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 3\"\r\n      },\r\n      {\r\n        \"id\": \"95\",\r\n        \"title\": \"Improved satellite-based emergency mapping through automated triggering of processes\",\r\n        \"authors\": \"Martin M\\u00fchlbauer, Monika Friedemann, Johanna Roll, Torsten Riedlinger, Fabian Henkel, Lucas Angermann, Mathias B\\u00f6ck, Tobias Kaminski and Kayla Barginda\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"For more than two decades, satellite-based emergency mapping (SEM) supports authorities and responders in the rapid assessment of disaster situations. Although automation has been advanced, particularly in the field of satellite image analysis, the standard SEM workflow of the Copernicus Emergency Mapping Service (CEMS) is mostly user-driven at crucial steps. The 2021 flood events in western Germany show, as an example, the strong influence of manual interaction on the timely provision of satellite-based crisis products to emergency managers. We examine where latencies occur in the CEMS workflow and show a concept for the automation of processes and the usage of primarily open web data for process triggering to overcome delays. Our assumption is that a combination of both components is key for a faster SEM workflow, which we discuss along further benefits and challenges. A prototypical information system demonstrates the practical applicability of the concept.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 3\"\r\n      },\r\n      {\r\n        \"id\": \"100\",\r\n        \"title\": \"SILVANUS Dashboard for Wildfire Management\",\r\n        \"authors\": \"Dominika Grunwald, Marcin Wawrzyniak, Marcin Przybyszewski, Emil Gatial, Zoltan Balogh and Sepideh Hassankhani-Dolatabadi\",\r\n        \"track\": \"TRACK 7\",\r\n        \"abstract\": \"The world is constantly exposed to the negative effects of wildfires, which occur for various reasons, often beyond human control. In such a case, it is highly advisable to develop appropriate countermeasures that will comprehensively approach the problem of wildfires. In response to these needs, the SILVANUS project was created. The goal of SILVANUS is to use new and existing technologies in the field of fire management, such as mobile applications for citizens, dedicated user interfaces or special applications for training firefighters in VR. The set of these tools is intended to support Integrated Fire Management. In this paper, we propose a web-based interface which facilitates crisis management during fires, especially wildfires. The Dashboard is an interactive map for monitored areas, with layers corresponding to different sources of data. It also supports communication between citizens and firefighters through mobile applications and social media. The main objective of the system is to help with decision making process so that the user will ultimately decide whether data is relevant or not. The solution is directed mainly at firefighters, analysts, and public administration entities. The presented Dashboard is a work in progress.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 3\"\r\n      },\r\n      {\r\n        \"id\": \"125\",\r\n        \"title\": \"Future AI in crisis management: Proposing a bio-inspired, neuro-symbolic architecture\",\r\n        \"authors\": \"Aur\\u00e9lie Montarnal, Fr\\u00e9d\\u00e9rick B\\u00e9naben, Rob Grace, Gr\\u00e9goire Borst and Paul Gaborit\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"This paper addresses the evolving relationship between Artificial Intelligence (AI) and crisis management, spanning\\\\nover a decade. Initially sparked by social sciences\\u2019 interest and facilitated by abundant data, particularly from social\\\\nmedia, the collaboration between these fields has streamlined decision-making processes. However, the distinctive,\\\\nuncertain nature of crises presents challenges in adapting AI to varying contexts. In exploring existing frameworks\\\\nlike Common Operational Picture (COP), Situational Awareness (SA), and Sensemaking, the paper finds a potential\\\\nmisalignment between recent AI architectures, predominantly symbolic or neural, and these established frameworks.\\\\nTo bridge this gap, the paper proposes a bio-inspired neuro-symbolic AI architecture, emphasizing its application at\\\\nthe Sensemaking level during crisis data exploitation. Leveraging insights from neurosciences advancements, the\\\\npaper aims to enhance the adaptability and effectiveness of AI systems in crisis situations.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 3\"\r\n      },\r\n      {\r\n        \"id\": \"127\",\r\n        \"title\": \"Envisioning the Future of Emergency Management focused on Artificial Intelligence\",\r\n        \"authors\": \"Ana-Gabriela N\\u00fa\\u00f1ez, Patricia Quiroz-Palma, M.Carmen Penad\\u00e9s, Otto Parra and Oscar Alvear\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"Artificial Intelligence (AI) in Emergency Management integration has become crucial to improving crisis response\\\\nefficiency and effectiveness. AI presents new paradigms for responding to emergencies but poses technical and\\\\noperational challenges, ethical considerations, and the need for robust regulatory frameworks. The study examines\\\\nvarious AI applications in emergency scenarios and employs a systematic literature review methodology to identify\\\\nsolutions and future directions for ethical and effective AI integration. The findings highlight the critical balance\\\\nbetween leveraging AI capabilities and ensuring safety, privacy, and ethical compliance. Understanding AI\\u2019s\\\\nfull scope and potential in this critical field is essential as we navigate technological advancements. The article\\\\ncontributes to understanding AI\\u2019s potential to transform emergency management practices and emphasizes the\\\\nimportance of ethical considerations and regulatory frameworks.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C1\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 7 IT Solutions 3\"\r\n      },\r\n      {\r\n        \"id\": \"24\",\r\n        \"title\": \"Evacuation modelling for community resilience: An Australian perspective\",\r\n        \"authors\": \"Dhirendra Singh, Hanna Grzybowska, Leorey Marquez and Vincent Lemiale\",\r\n        \"track\": \"TRACK 6\",\r\n        \"abstract\": \"Communities worldwide are increasingly facing severe impacts from natural hazards like wildfires, floods, and cyclones. Where a life-threatening hazard is imminent, and moving people is a safe option, large-scale evacuations of communities are often undertaken by authorities. In Australia, where evacuation is a recommendation to individuals and households, and not an enforceable order, community safety requires a collaborative approach: where communities take ownership of the risk and responsibility for their actions, and work closely with emergency management agencies for planning, preparedness, readiness, and response efforts. In this context, drawing examples from existing works, we present requirements for evacuation modelling from the perspectives of different end-users (the at-risk individuals and households, the town planner and developer, the risk analyst, the incident controller and response crew). We argue that this technology is useful, beyond its obvious use in planning and decision support, in building shared understanding among all stakeholders for improving community safety.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 2\"\r\n      },\r\n      {\r\n        \"id\": \"27\",\r\n        \"title\": \"Wildfire Evacuation Challenges in Multi-ethnic Communities: An Information Communication Perspective\",\r\n        \"authors\": \"Meng Duo, Jun Hu, Anying Chen and Zhetao Fang\",\r\n        \"track\": \"TRACK 6\",\r\n        \"abstract\": \"The areas with high wildfire risk of wildfire are inhabited by multiple ethnic groups in China. In the event of a wildfire, there are many challenges for the government to release evacuation information to residents in multi-ethnic communities. Based on the Shannon-Weaver model of communication, a whole-process communication model of evacuation information is constructed to reflect the challenges during the whole process, including the dynamic variability, regional difference and cross-language expression of evacuation information at the stage of information generation, the inadequate communication capability of information carriers and instability of communication infrastructures at the stage of information transmission, and comprehension impairment and irrational perception at the stage of information perception. In response to these challenges, the authors also make some suggestions from the intelligent information technology, crisis response system and offline communication channels.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 2\"\r\n      },\r\n      {\r\n        \"id\": \"54\",\r\n        \"title\": \"Human Values for Responsible Decision-Support for Fire Services\",\r\n        \"authors\": \"Tina Mioch, Huib Aldewereld and Mark A. Neerincx\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"Artificial Intelligence systems are more and more being introduced into first response; however, this introduction\\\\nneeds to be done responsibly. While generic claims on what this entails already exist, more details are required to\\\\nunderstand the exact nature of responsible application of AI within the first response domain. The context in which\\\\nAI systems are applied largely determines the ethical, legal, and societal impact and how to deal with this impact\\\\nresponsibly. For that reason, we empirically investigate relevant human values that are affected by the introduction\\\\nof a specific AI-based Decision Aid (AIDA), a decision support system under development for Fire Services in the\\\\nNetherlands. We held 10 expert group sessions and discussed the impact of AIDA on different stakeholders. This\\\\npaper presents the design and implementation of the study and, as we are still in process of analyzing the sessions in\\\\ndetail, summarizes preliminary insights and steps forward.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 2\"\r\n      },\r\n      {\r\n        \"id\": \"130\",\r\n        \"title\": \"WUI-PEM: Wildfire Phased Zone Evacuation Methodology\",\r\n        \"authors\": \"Hui Xie, Michael Kinsey, Steve Gwynne, Max Kinateder, Paul Geoerg and Roy Thun\",\r\n        \"track\": \"TRACK 6\",\r\n        \"abstract\": \"Wildfires are a growing threat to wildland-urban interface (WUI) communities. Globally over the last decade hundreds of wildfire related deaths have occurred along with hundreds of billions in economic losses. If the encroachment of fire into a community cannot be stopped, evacuation becomes necessary to save lives. In response to the increasing threat, WUI communities must properly prepare and implement an evacuation plan, as orchestrating an evacuation within a limited time frame is a complex challenge. While several fire and evacuation simulation tools have been developed to aid planning, a comprehensive methodology for constructing and assessing evacuation plans is still evolving. This article fills some of the current gaps with a simple six-step process to evaluate wildfire risk, individual evacuation zone traffic demand, and formulate a staged zone-based full evacuation plan. This methodology can be used for wildfire evacuation planning, evacuation plan management, and training.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 5+6 Wildefire 2\"\r\n      },\r\n      {\r\n        \"id\": \"25\",\r\n        \"title\": \"Managing volunteers in disaster situations - an overview of models for decision-makers\",\r\n        \"authors\": \"Florentina Hager and Melanie Reuter-Oppermann\",\r\n        \"track\": \"TRACK 3\",\r\n        \"abstract\": \"Volunteers are a valuable resource in disaster management. Yet to be useful, decision-makers need to manage this\\\\nresource properly. However, managing volunteers differs from managing traditional work forces in multiple aspects:\\\\nvolunteers can spontaneously decide to offer their help, may have different skills and preferences for different tasks\\\\nand can leave the system at any time. Several models for optimising volunteer management in disaster scenarios\\\\nhave been presented in the past. To provide an overview of existing approaches, this article provides a structured\\\\nliterature review, discusses the challenges of integrating these models into decision support systems and identifies\\\\nfuture research directions. In total, 31 articles were identified, of which more than half were published in the last\\\\nfive years. Most authors addressed the issue of assigning volunteers to tasks, while little attention was paid to\\\\npredicting the number of volunteers and optimising the composition of volunteer teams.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 3 Volunteers 1\"\r\n      },\r\n      {\r\n        \"id\": \"29\",\r\n        \"title\": \"Improving emergency and disaster response management through bidirectional communication between citizens and decision-makers \\u2013 A field test on the coordination of spontaneous volunteers\",\r\n        \"authors\": \"Michael Holzh\\u00fcter, Hans Betke, Alina Fr\\u00f6hlich and Michael Klafft\",\r\n        \"track\": \"TRACK 3\",\r\n        \"abstract\": \"Cooperation between different stakeholders plays an important role in managing crises and disasters. The software tools used must also support cooperation and the mutual exchange of information. The bidirectional exchange of information between the population and official agencies poses a particular challenge. In this paper, we present a software demonstrator for the coordination of spontaneous volunteers and its evaluation as part of an overarching research project to gain design knowledge for the development of interconnected systems in disaster management. We describe how the system demonstrator was instantiated on the basis of our existing design knowledge from technical requirements and reference architecture and show the respective interfaces for the stakeholders involved. As the main contribution of the paper, we describe the implementation of a field test to evaluate the demonstrator and present the results in terms of usability and perceived usefulness, which we obtained using a methodologically sound questionnaire.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 3 Volunteers 1\"\r\n      },\r\n      {\r\n        \"id\": \"44\",\r\n        \"title\": \"The cooperation, coordination and leadership in first aid ad-hoc immediate responder groups: a work-in-progress\",\r\n        \"authors\": \"Wilhelm Brodin, Erik Prytz and Carl-Oscar Jonson\",\r\n        \"track\": \"TRACK 3\",\r\n        \"abstract\": \"When an accident has occurred, first aid before a professional response arrives can improve the outcome for the victims. However, little research has been done on the effect of coordination and leadership on first aid responses. This work-in-progress study reports an experiment using a simulated scenario, i.e. traffic accident, to understand the effect of coordination and leadership on first aid performance in ad-hoc groups of immediate responders. The results showed that coordination and leadership are significantly related to increased self-evaluated team performance while expertise and authority differentiation is not. These results provide a first insight to the coordination and leadership in ad-hoc groups of immediate responders, but more research is needed to validate these results. Structured performance evaluation with subject matter experts is planned as an extension to the present work-in-progress.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 3 Volunteers 1\"\r\n      },\r\n      {\r\n        \"id\": \"86\",\r\n        \"title\": \"Selection of rural villages as volunteer centers for emergency response\",\r\n        \"authors\": \"Niki Matinrad and Tobias A. Granberg\",\r\n        \"track\": \"TRACK 3\",\r\n        \"abstract\": \"Rural areas are typically sparsely populated, and coverage from emergency services is weak. In some such areas in Sweden, professional emergency services train civilian volunteers in providing help for certain types of emergencies. In case of an emergency, they are alerted on their mobile phones and are primarily expected to provide help in the vicinity of their homes. Due to limited resources, it is impossible to include all villages in the volunteer initiative, making the selection of the most beneficial villages for emergency response important. However, this decision is not always trivial to make. Therefore, we propose an optimization model to determine which villages should be included in this initiative to achieve the best possible emergency response coverage. The model is used in a case study for a large Swedish fire and rescue service organization, and based on the results, they have started volunteer centers in two villages.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 3 Volunteers 1\"\r\n      },\r\n      {\r\n        \"id\": \"123\",\r\n        \"title\": \"Civilian-Military Integration in Defense Supply Chain\",\r\n        \"authors\": \"Myroslava Kushnir, Anna Nagurney and Renata Konrad\",\r\n        \"track\": \"TRACK 3\",\r\n        \"abstract\": \"This research delves into the intricacies of the Ukrainian military\\u2019s supply chain during the ongoing Russian-Ukrainian war, with a specific focus on the significant role played by the civilian population in supporting the armed forces. Termed a defense supply chain, our study employs a multilevel model encompassing logistical, informational, and financial dimensions to elucidate the multifaceted levels within the defense supply chain network. Key actors identified include manufacturers, non-governmental organizations (NGOs), donors, and conscripts. The study sheds light on the vulnerabilities in the flow of goods in the defense supply chain. A resilient defense supply chain relies on efficient NGO communication and the crucial alignment of donor income growth with escalating resource prices.\",\r\n        \"day\": \"Monday, May 27th\",\r\n        \"timeslot\": \"15:00 - 16:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 3 Volunteers 1\"\r\n      },\r\n      {\r\n        \"id\": \"14\",\r\n        \"title\": \"State of Knowledge Management among German fire fighters\",\r\n        \"authors\": \"Andreas Schultz, Fabian Dotzki and Iryna Mozgova\",\r\n        \"track\": \"TRACK 10\",\r\n        \"abstract\": \"This paper introduces the results of a survey that was conducted among German firefighters in 2023 to investigate the current situation of knowledge management. We want to examine which systems and techniques are in use, what the end users' expectations towards knowledge management are, and which requirements a system should fulfill. We focus on all stages of the crisis management circle, from prevention and preparation to the response to an incident as well as recovery.\\\\n\\\\nThe goal of this survey is to evaluate firefighters' needs in order to be able to define requirements for a knowledge management system that will be accepted by the users. The exchange of information items between entities (emergency units, authorities, and enterprises) and other IT systems is one important aspect. We identify existing information and knowledge management systems, and means to improve user satisfaction by leveraging users to maintain a system with relevant and up-to-date information and knowledge.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 1\"\r\n      },\r\n      {\r\n        \"id\": \"62\",\r\n        \"title\": \"Cascading supply chain disruption: impact on water industry during COVID-19\",\r\n        \"authors\": \"Lijo John, Wojciech Piotrowicz and Aino Ruggiero\",\r\n        \"track\": \"TRACK 10\",\r\n        \"abstract\": \"The impact of COVID-19 on the lives of people and businesses across the globe was devastating. While governments across the world had undertaken a slew of measures to control the spread of the COVID-19 virus within their geography, many of these measures had long and unintended consequences. The restrictions imposed by the governments on the movement of people and goods across the world brought supply chains to a grinding halt. This study identifies the cascading effects of supply chain disruptions on the water sector. Since these systems are closely integrated and the impact of COVID-19 needs to be analysed at a much broader level, this study uses a systems-thinking approach to study the effect of supply chain disruptions on water services. The study develops a causal loop model to gain further insight into how supply chain disruptions caused by COVID-19 affected the coping capabilities of society and how critical services were affected.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 1\"\r\n      },\r\n      {\r\n        \"id\": \"76\",\r\n        \"title\": \"Methodology Proposal to Assess Infrastructure Resilience in the Context of Small Islands\",\r\n        \"authors\": \"Fabiane A. Acordes, Sylvia Bach, Frank Fiedrich and Frank Sill Torres\",\r\n        \"track\": \"TRACK 10\",\r\n        \"abstract\": \"Small islands face unique challenges when it comes to increasing the resilience of their infrastructure systems, especially against climate-related disruptions. This proposal outlines a resilience-focused methodology for assessing critical infrastructure in such environments, integrating four interrelated phases: (1) literature review and documentary analysis to understand the context and existing knowledge, (2) conducting participatory workshops for local insights, (3) semi-structured interviews for in-depth perspectives, and (4) data analysis to integrate findings. This methodology, centered on participatory approaches, seeks to explore the dynamics of the impacts of disasters on the infrastructure of small islands. Developed as part of doctoral research at the German Aerospace Center and the University of Wuppertal, this methodology will be tested on Germany's East Frisian Islands from 2023 to 2026. Its emphasis on stakeholder involvement aims to bridge gaps in existing research and provide practical strategies to enhance the long-term disaster resilience of small islands communities.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 1\"\r\n      },\r\n      {\r\n        \"id\": \"32\",\r\n        \"title\": \"Image-text crisis tweet categorization: a caption-based approach\",\r\n        \"authors\": \"Badreddine Farah, Guillaume Cleuziou, C\\u00e9cile Gracianne, Adel Hafiane, Ana\\u00efs Halftermeyer and Rapha\\u00ebl Canals\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"The growth of social media usage this last decade has made available a massive and valuable volume of multimedia data. However, the lack of large multimodal annotated datasets, along with the inherent noise and the diversity of multimodal relations in this type of data presents challenges for machine learning methods. Unlike classic multimodal data, social media data comes with a large diversity of relations between image and text making the interaction between the two modalities more difficult.\\\\n\\\\nPrevious research concentrated on fusion strategies with separate encoders for each modality. This paper introduces CMB (Caption-based Multimodal BERT), a method of classifying crisis-related social media posts by utilizing information from both images and texts. CMB translates the image modality into a text-compatible space, facilitating intermodal interaction.\\u00a0\\\\n\\\\nFurthermore, CMB presents training opportunities to enhance the model's robustness to missing modalities. Experimental results show that CMB is competitive with well-established, costly, and manually crafted multimodal models.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 9 Social Media 2\"\r\n      },\r\n      {\r\n        \"id\": \"34\",\r\n        \"title\": \"Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models\",\r\n        \"authors\": \"Abdul Wahab Ziaullah, Ferda Ofli and Muhammad Imran\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Critical Infrastructure Facilities (CIFs), such as healthcare and transportation facilities, are vital for the functioning of a community, especially during large-scale emergencies. In this paper, we explore a potential application of Large Language Models (LLMs) to monitor the status of CIFs affected by natural disasters through information disseminated in social media networks. To this end, we analyze social media data from two disaster events in two different countries to identify reported impacts to CIFs as well as their impact severity and operational status. We employ state-of-the-art open-source LLMs to perform computational tasks including retrieval, classification, and inference, all in a zero-shot setting. Through extensive experimentation, we report the results of these tasks using standard evaluation metrics and reveal insights into the strengths and weaknesses of LLMs. We note that although LLMs perform well in classification tasks, they encounter challenges with inference tasks, especially when the context\/prompt is complex and lengthy. Additionally, we outline various potential directions for future exploration that can be beneficial during the initial adoption phase of LLMs for disaster response tasks.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 9 Social Media 2\"\r\n      },\r\n      {\r\n        \"id\": \"69\",\r\n        \"title\": \"Utilizing Social Media and Crowdsourcing for Crisis Management and Communication: proposing an Integrative Framework\",\r\n        \"authors\": \"Kees Boersma, Nathan Clark, Robert Larruina and Emmeline Roeloffs\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Utilizing social media and crowdsourcing (SMCS) in crisis management is crucial for improving communication\\\\nand citizen engagement during disasters. However, practitioners working in crisis management organizations\\\\noften face challenges when translating the outcomes of scientific research into actionable knowledge. To aid\\\\ndisaster management organizations, a comprehensive set of resources including practical tools, guidelines, and\\\\nuse examples are necessary. This will help response organizations to integrate the different components of\\\\nsuccessful SMCS coherently and consistently in their organizations and to promote disaster resilience for different\\\\nusers. An integrative Framework, developed by the authors as part of the EU-funded Horizon 2020 project, LINKS\\\\n\\u2013 strengthening links between technologies and society for European disaster resilience, serves such resources.\\\\nThis paper presents how this Framework came into being and describes its main components. It then provides a\\\\ncase study from the Netherlands, focusing on the scenario of industrial, chemical hazards, to illustrate how the\\\\nFramework was actually used. The results provide valuable insights into the use of SMCS in disaster risk\\\\nmanagement and the usefulness of an integrative Framework.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 2\"\r\n      },\r\n      {\r\n        \"id\": \"71\",\r\n        \"title\": \"Effectiveness of Emergency Response to Typhoons: Lessons Learned from Historical Typhoon Disasters in Zhuhai, China\",\r\n        \"authors\": \"Ting Liu, Xiaoyong Ni, Jiawei Sun and Ziyi Peng\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Typhoons significantly impact socio-economics, varying in impact due to unique characteristics. However, limited studies explore why similar intensity typhoons affect regions differently. This study compares the emergency response measures of Zhuhai, Guangdong Province, China, in response to typhoon Hato (2017), Mangkhut (2018), and Higos (2020). These three similar typhoons offer an empirical opportunity to assess the effectiveness of emergency management. This research builds a timeline of Zhuhai's emergency response measures to the typhoons, collects Weibo data 72 hours before and after the typhoon landfall, performs keyword frequency analysis on contents and analyzes in detail the content of weibo postings, and changes in sentiment. Results show that timely and systematic emergency response measures may reduce disaster losses, which means emergency management is crucial in mitigating typhoon impacts, offering valuable lessons for other coastal cities.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 2\"\r\n      },\r\n      {\r\n        \"id\": \"30\",\r\n        \"title\": \"QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1\",\r\n        \"authors\": \"Daniele Rege Cambrin and Paolo Garza\",\r\n        \"track\": \"TRACK 2\",\r\n        \"abstract\": \"Earthquake monitoring is necessary to promptly identify the affected areas, the severity of the events, and, finally, to estimate damages and plan the actions needed for the restoration process. The use of seismic stations to monitor the strength and origin of earthquakes is limited when dealing with remote areas (we cannot have global capillary coverage). Identification and analysis of all affected areas is mandatory to support areas not monitored by traditional stations. Using social media images in crisis management has proven effective in various situations. However, they are still limited by the possibility of using communication infrastructures in case of an earthquake and by the presence of people in the area. Moreover, social media images and messages cannot be used to estimate the actual severity of earthquakes and their characteristics effectively. The employment of satellites to monitor changes around the globe grants the possibility of exploiting instrumentation that is not limited by the visible spectrum, the presence of land infrastructures, and people in the affected areas. In this work, we propose a new dataset composed of\\u00a0\\\\nimages taken from Sentinel-1 and a new series of tasks to help monitor earthquakes from a new detailed view. Coupled with the data, we provide a series of traditional machine learning and deep learning models as baselines to assess the effectiveness of ML-based models in earthquake analysis.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 1\"\r\n      },\r\n      {\r\n        \"id\": \"50\",\r\n        \"title\": \"Scoping Review: Digitalisation in the organisational culture of agencies of safety and security\",\r\n        \"authors\": \"Thomas Kox, Patricia Sch\\u00fctte, Sebastian Rohwedder and Till B\\u00fcser\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"Digitalisation has a significant impact on most aspects of society. State agencies with safety and security tasks have to develop effective strategies to manage the opportunities and risks associated with technological innova-tions and increased networking. Emerging digital technologies have the potential to affect work practices and thus the organisational culture of such agencies. To examine the extent to which scientific research has ad-dressed the impact of digitalisation on organisational culture so far, a systematic scoping review was conducted. Preliminary results show that the overall research topic is still in an exploratory phase and studies are primarily from the global north. The analyses show that the majority of studies focuses on artefacts around information data leading to respective work practices around data work.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 1\"\r\n      },\r\n      {\r\n        \"id\": \"65\",\r\n        \"title\": \"Institutional amnesia during large crisis: Effects of poor documentation\",\r\n        \"authors\": \"Erik A.M. Borglund and Kjell Lagerstr\\u00f6m\",\r\n        \"track\": \"TRACK 1\",\r\n        \"abstract\": \"In this \\u201cwork in progress\\u201d research, we attempt to understand and explore the effects of inadequate documentation\\\\nduring crises. We have studied the work of three different organizations during the first six months of the Covid-\\\\n19 pandemic and have been able to ascertain that almost no official documents from the organizations' crisis\\\\nmanagement teams can be found. The consequences of inadequate documentation resulted in challenges when\\\\nlearning from mistakes, difficulties in real-time learning, and a lack of understanding regarding the rationale\\\\nbehind the decisions made. This institutional amnesia is problematic for many reasons and needs to be further\\\\nstudied. The next step in our research will be to study information culture and try to understand the effect of this\\\\namnesia on resilience.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 1\"\r\n      },\r\n      {\r\n        \"id\": \"67\",\r\n        \"title\": \"Civil Protection in Europe: Towards a Unified Command System? Update on knowledge-sharing work and future actions\",\r\n        \"authors\": \"Jean Paul Monet, Ana\\u00efs Saint-Jonsson, Sergio Pirone, Marc Castelnou Ribau, Stephane Poyau, Marc Dumas, Miguel Cruz, Tony Johansson, Christoph Lamers, Christos Lampris and Pierre Schaller\",\r\n        \"track\": \"TRACK 1\",\r\n        \"abstract\": \"In the context of climate change, increasing disaster severity and extension, the paper suggests to DGECHO, agency managing the European civil protection mechanism, an improvement for joint operations command-and-control practices. It constitutes an update of Monet et al. (2020) paper, enhancing the work progresses in terms of analysis, applicability, monitoring and training.\\\\nIn this perspective, the work of the authors is completely dedicated to the improvement of interoperability when different (national) civil protection forces work together, to respond to emergencies or disasters. Building on theoretical comparative studies, this opinion paper now relies on an interoperability monitoring tool and consolidates the ways on defining the future for an \\u201cEuropean Command System\\u201d, proposing innovative operational practices by associating knowledge exchange and operational training.\\\\nActually, the presentation will depict how to organize a training strategy at European level, alternating international and regional courses, to pave the way for future harmonization.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 1\"\r\n      },\r\n      {\r\n        \"id\": \"63\",\r\n        \"title\": \"Technology Enhanced Actual Situation Awareness Model for Dog-Handlers working with Search and Rescue Dogs\",\r\n        \"authors\": \"Stella Polikarpus, Kristine Steen-Tveit, Ana Mar\\u00eda Aldea Reyes, Marta Burgos Gonz\\u00e1lez, Susana Izquierdo Funcia and Graham Edgar\",\r\n        \"track\": \"TRACK 12\",\r\n        \"abstract\": \"Rescue dogs are used in disaster response because of their ability to find victims using their excellent sense of smell, supported by dynamic decision-making skills. Because the disaster area environment is hazardous for both dogs and dog-handlers, new technology, including robots and advanced sensors, are being developed to assist. In this article we argue that if new technologies are developed with the aim of making search and rescue missions in disaster zones safer and more successful, then there is a need to research how such technology can support communication between dog, handler, and incident command; in particular, how is shared situation awareness developed and supported. We present a model that scopes the interactions between human, dog, and technology together with advanced techniques for assessing those interactions through measurement of (shared) situation awareness and understanding. With such a wide range of potential technologies (such as VR, AR, 360-degree online video streaming, gas detecting sensors and special communication vests for dogs) having a clear view of how different parts of a team interact, and how to assess those interactions, is crucial. The use of technology (e.g. AR) is not limited to use in the implementation of search and rescue procedures, but can also be used in testing, and training for, other new technologies.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 12 Visions 1\"\r\n      },\r\n      {\r\n        \"id\": \"77\",\r\n        \"title\": \"Exploring the roles and challenges of disruptive technologies for emergency management in Aotearoa New Zealand\",\r\n        \"authors\": \"Lukas Kroher, Marion Lara Tan and Raj Prasanna\",\r\n        \"track\": \"TRACK 12\",\r\n        \"abstract\": \"This work-in-progress paper presents preliminary findings from an exploratory workshop on disruptive technologies in emergency management in Aotearoa New Zealand. Thematic analysis identified three main themes on the role of disruptive technologies: (1) creating a common operating picture, (2) enhancing interaction, and (3) organising information. Despite the transformative potential of disruptive technologies, there are several challenges, including reliability and consistency of information, managing large volumes of data, integration and interoperability, and security and privacy concerns over data usage, among others. The study highlights the need for robust collaboration and resource-sharing mechanisms to leverage disruptive technologies in New Zealand\\u2019s emergency management landscape. Future work will investigate these identified themes through additional interviews and workshops involving emergency management professionals. Further focus will examine the preliminary findings to the broader concept of situational awareness in emergency contexts.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 12 Visions 1\"\r\n      },\r\n      {\r\n        \"id\": \"99\",\r\n        \"title\": \"Vision for Emergency Management: Resilient Mission Critical Ecosystems in Organizations\",\r\n        \"authors\": \"Jaziar Radianti\",\r\n        \"track\": \"TRACK 12\",\r\n        \"abstract\": \"Emergency management is seldom viewed through the lens of enterprises\/industries, which aim to safeguard their critical missions to deliver seamless services. This article advocates for an integrative perspective on mission-critical (eco)systems. In the digital transformation landscape, the traditional notions of 'mission-critical systems,' often associated with physical spaces like control facilities or hardware-software crucial for business operations, are challenged. Based on document reviews, this article argues for a holistic comprehension of an organization's mission-critical ecosystems, considering internal and external factors across physical, digital, and human aspects. The article uses renewable energy and e-health as cases. The overarching goal is to expand the research scope in emergency management by examining current concerns and current trends in emergency management domain, combining preparedness, resilience, and cybersecurity. This comprehensive approach aims to enhance our ability to navigate and respond effectively to emergencies in an increasingly complex and interconnected world.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 12 Visions 1\"\r\n      },\r\n      {\r\n        \"id\": \"121\",\r\n        \"title\": \"Knowledge on demand: the future of decision support systems?\",\r\n        \"authors\": \"Yohann Chasseray, Aur\\u00e9lie Cong\\u00e8s, Audrey Fertier and Anne-Marie Barthe-Delano\\u00eb\",\r\n        \"track\": \"TRACK 12\",\r\n        \"abstract\": \"The availability and quality of the information system supporting crisis management depends on the existence of\\\\nup-to-date, comprehensive and reliable knowledge bases, despite the multidisciplinary nature of the information to\\\\nbe exchanged, the actions, and the decisions to be taken. This article proposes a method to benefit from pre-trained\\\\nlanguage models to automatically update these knowledge bases at both design time and run time. We offer\\\\na model-based extraction process and a dedicated automated validation process. These two contributions are\\\\nillustrated and discussed around a case study: an emergency decision support system used to prepare for and respond\\\\nto an unexpected mass gathering at an abandoned French aerial base.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 12 Visions 1\"\r\n      },\r\n      {\r\n        \"id\": \"33\",\r\n        \"title\": \"Enhancing Emergency Post Classification through Image Information Amplification via Large Language Models\",\r\n        \"authors\": \"Pablo Giaccaglia, Carlo Alberto Bono and Barbara Pernici\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Real-time information extracted from social media platforms can be highly valuable during emergencies. For example, reports and direct witnesses can help build situational awareness in the early phases of an emergency, with the potential to save lives. However, suitable techniques for selecting relevant data are needed to gather this information from large-scale social media streams and utilize it effectively.\\u00a0\\\\nGiven the multimedia nature of these streams, selection techniques should simultaneously understand textual and image information, as previous studies highlighted. Leveraging recent advances in language and vision models, we propose and evaluate a method working with a homogeneous, text-only representation for the different modalities of social media posts. Experiments on established and novel datasets, including video data, show that the proposed method achieves state-of-the-art performances while providing a highly general and plug-and-play approach to multimodal data filtering.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 9 Social Media 3\"\r\n      },\r\n      {\r\n        \"id\": \"39\",\r\n        \"title\": \"Empowering Crisis Response Efforts: A Novel Approach to Geolocating Social Media Images for Enhanced Situational Awareness\",\r\n        \"authors\": \"Hafiz Budi Firmansyah, Jose Luis Fernandez-Marquez, Mehmet Oguz Mulayim, Jorge Gomes, Joao Ribeiro and Valerio Lorini\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Social media and online platforms play an important role in assessing the impact of a natural disaster, especially in the immediate aftermath of the event. The information from social media demonstrated the potential to accelerate the response to a crisis. Locating social media images is critically important to help the victims immediately, \\u00a0mobilize community support, and provide enhanced situational awareness. However, finding the location of relevant social media images still challenges humans and computational processes.\\\\n\\\\nThis study introduces a social media image classifier aimed at enhancing crowdsourced geolocation. The model is trained using data annotated by experts in disaster risk management. Its main goal is to reduce the difficulty of geolocating images by detecting those that are ''easy'' to geolocate. We combined the classifier with an ad-hoc crowdsourcing platform and tested it with pictures posted during a crisis. The experimental results indicate that the proposed approach speeds up the geolocation process of social media images while increasing the level of location precision\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 9 Social Media 3\"\r\n      },\r\n      {\r\n        \"id\": \"74\",\r\n        \"title\": \"Forced Displacement Situation Awareness with Large Language Models: Ukrainian Refugees in Poland Case Study\",\r\n        \"authors\": \"Brian Tomaszewski, Nataliya Shakhovska, Harley Emery and Pawe\\u0142 \\u015aniata\\u0142a\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"We evaluated the utility of the large language model (LLM) ChatGPT to develop situation awareness related to\\\\nthe forced displacement of Ukrainian refugees into Poland. Utilizing text messages derived from the Help for\\\\nUkrainians in Poland Telegram message group, we used ChatGPT to translate messages in multiple languages\\\\ninto English and identify message topics and themes. Topics and themes from beginning of the war in Ukraine in\\\\n2022 were analyzed and visualized using K-means clustering and word clouds. The language identification and\\\\ntranslation capabilities of the LLM were evaluated by two human evaluators and measured using Kappa (0.86)\\\\nand BLUE scores (0.46) with the LLM performing effectively. We conclude that the ability of LLM using\\\\ncarefully developed language prompts for large data volume analysis with no need for manual human analysis\\\\nshows promise for humanitarian analytics focused on rapidly identifying potential key trends, needs, and locations\\\\nof displaced people.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 3\"\r\n      },\r\n      {\r\n        \"id\": \"81\",\r\n        \"title\": \"Crisis2Sum: An Exploratory Study on Disaster Summarization from Multiple Streams\",\r\n        \"authors\": \"Philipp Seeberger and Korbinian Riedhammer\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"Automatic summarization of natural and human-made disaster events is an important area to increase situational\\\\nawareness for human response organizations and disaster management. However, the incorporation of multiple data\\\\nsources poses a challenge to current summarization systems, as the typically large document collections exceed the\\\\ninput limits of neural models. Additionally, Large Language Models (LLM) often omit key information present\\\\nat different positions in long context inputs. Furthermore, disaster reporting requires fine-grained information\\\\ncontent and therefore relaxes the restriction to high compression rates, resulting into rather long summaries. In this\\\\nwork, we study different extractive and LLM-based abstractive baselines and highlight shortcomings in present\\\\napproaches. Our experimental results on the CrisisFACTS datasets show that LLM-based approaches tend to fail in\\\\ngenerating long informative summaries. Taking these limitations into account, we propose a disaster summarization\\\\nframework and introduce query-focused extensions, which demonstrate advantages and superior performance over\\\\nthe baseline methods.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 3\"\r\n      },\r\n      {\r\n        \"id\": \"12\",\r\n        \"title\": \"Accounting for systemic risk in analysis of crisis scenarios\",\r\n        \"authors\": \"Jose J. Gonzalez, Reem Abbas and Sigurd Paulsen\",\r\n        \"track\": \"TRACK 11\",\r\n        \"abstract\": \"Systemic risk is ubiquitous in our increasingly globalised world owing to the interconnections within and across sectors. However, a review of National Risk Assessments performed in OECD member countries reveals that systemic risk is rarely mentioned, and it is never accounted for in those assessments.\\\\n\\\\nA powerful method accounts for systemic risk and identifies mitigating strategies using participatory modelling with stakeholders: strategy mapping with Strategyfinder. The risk model is represented as a directed graph consisting of risk nodes and directed edges (arrows) expressing causal influences. The method originated in the management of large, complex projects, and it has been applied to systemic risks in critical infrastructures and pandemics.\\\\n\\\\nWe demonstrate the Strategyfinder method using a scenario describing a cyberattack on electronic communication infrastructure leading to serious consequences for health and lives. The scenario is borrowed from the report Analysis of Risk Scenarios by the Norwegian Directorate for Civil Protection.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 11 Healthcare 1\"\r\n      },\r\n      {\r\n        \"id\": \"19\",\r\n        \"title\": \"Perceiving and Behaving in a Crisis: Developing a Multi-Functional Crisis Information Platform for Psychosocial Situations (CIP-PS)\",\r\n        \"authors\": \"Sebastian Sterl, Andreas Billig, Franck William Taffo, David Svoboda and Lars Gerhold\",\r\n        \"track\": \"TRACK 11\",\r\n        \"abstract\": \"Increasingly long-lasting and complex crises and disasters can cause psychosocial effects on certain population groups with different vulnerabilities. To increase a population\\u2019s resilience, it is necessary to examine these effects more deeply by systematically monitoring the psychosocial situation, integrating different types of data and making this data researchable, visible, and documentable via a multi-modal platform. Following a systems thinking approach, this paper presents a full approach to developing a \\u201cMulti-Functional Crisis Information Platform for Psychosocial Situations\\u201d (CIP-PS) for Germany, which includes the integration of an ontology- and filter-based research component (CIP-REP), a filter-based dashboard component (CIP-DAB), and a documentation component (CIP-DOC) into a complete information platform. In sum, this platform fulfills the requirement of comprehensively integrating different psychosocial data (e.g., survey, meta data, or question item data) into a system capable of fully linking all components and related data to healthcare informatics.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 11 Healthcare 1\"\r\n      },\r\n      {\r\n        \"id\": \"26\",\r\n        \"title\": \"Designing Information Flow with Diverse Community Health Workers to Improve Public Health Situational Awareness During COVID-19\",\r\n        \"authors\": \"Temitayo Okusanya, Jane Gresser, Michael Stevenson, Ajay Kumar, Zeno Franco and Md Romael Haque\",\r\n        \"track\": \"TRACK 11\",\r\n        \"abstract\": \"Community health workers (CHWs) play a vital role in connecting communities, healthcare systems, and crisis response authorities. During a public health crisis, minority populations face increased disease and economic burdens, making adherence to health guidelines challenging. Despite numerous efforts to mitigate these impacts, the effectiveness is greatly compromised by communication gaps between communities and health authorities. Our study strategically employs the collaboration of CHWs and simple technology (Zoho Forms) to bridge gaps and enhance information flow between diverse hard-to-reach communities and public health authorities. We emphasize the unique contributions of CHWs to disaster response and the benefits of equipping CHWs with simple technology for effective communication during a public health crisis. Our work improved COVID-19 guidelines adherence, reducing infection spread while addressing critical mental health and resource needs within the communities served.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 11 Healthcare 1\"\r\n      },\r\n      {\r\n        \"id\": \"16\",\r\n        \"title\": \"Correlation Analysis of the Terrorist Attacks and Social Attributes in The Gulf States\",\r\n        \"authors\": \"Ting Liu, Xiaoyong Ni, Miaohan Shu, Dafeng Ma and Jiawei Sun\",\r\n        \"track\": \"TRACK 8\",\r\n        \"abstract\": \"Terrorist attacks are a significant threat to global security as they can cause a large number of deaths, economic losses, and trigger public panic. This paper focuses on the Gulf states as the survey region. This study comprehensively investigates the correlation between national-scale terrorist attacks and various potential factors in the social, political, economic, and military fields, based on the Spearman rank coefficient and gray correlation analysis. The potential factors are divided into two categories: those with a positive correlation and those with a negative correlation to terrorist attacks. The study shows a strong correlation between the adolescent fertility rate (births per 1,000 women aged 15-19) and the occurrence of terrorist attacks. This correlation has not been previously noted in relevant studies, indicating a need for greater attention to be paid to the impact of terrorist attacks on the human rights of children and adolescents.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 8 Risk & Community 1\"\r\n      },\r\n      {\r\n        \"id\": \"31\",\r\n        \"title\": \"Understanding Crisis Preparedness: Insights from Personal Values, Beliefs, Social Norms, and Personal Norms\",\r\n        \"authors\": \"Felix Burger, Jasmin Haunschild and Christian Reuter\",\r\n        \"track\": \"TRACK 8\",\r\n        \"abstract\": \"In disasters and crises, crisis preparation at the household level is crucial for societal resilience. However, motivating citizens to take personal responsibility and to implement preparedness measures remains challenging. This study investigates the impact of values, beliefs and norms on preparedness. Through a survey in Germany on resource-oriented crisis preparedness and participants\\u2019 values, a group of more prepared and less prepared individuals was differentiated. We quantitatively analyzed the correlation between values and crisis preparedness. A quantitative analysis revealed a significant association between the value of benevolence and higher preparedness. Follow-up interviews (N=30) explored participants' beliefs and norms, showing minimal group differences. Although crisis preparedness is generally viewed positively, strong negativity exists towards perceived \\u201choarders\\u201d. The study discusses implication for crisis communication and the design of nudges and persuasive systems, emphasizing intervention that can trigger benevolence to foster preparedness and appeal to the social benefits to counter the narrative of anti-social crisis preparedness.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 8 Risk & Community 1\"\r\n      },\r\n      {\r\n        \"id\": \"97\",\r\n        \"title\": \"Engaging the Public in Forest Fire Awareness through a Mobile Application\",\r\n        \"authors\": \"Emil Gatial, Zolt\\u00e1n Balogh, Sepideh Hassankhani Dolatabadi, Mariana Soledad Molina, Timo Kasig, Kayvan Yousefi Mojir, Marcin Wawrzyniak, Dominika Grunwald and Marcin Przybyszewski\",\r\n        \"track\": \"TRACK 8\",\r\n        \"abstract\": \"The widespread use of mobile devices has resulted in remarkable advancements in their capacity to offer and\\\\ndisseminate online information virtually anywhere. Users are increasingly open to installing applications that\\\\nfurnish valuable information to address specific situations. This paper describes joint efforts in research and\\\\ndevelopment of a mobile application, called Citizen Engagement App (CEA), and related methods for engaging\\\\nthe public in forest fire danger awareness, data collection and presentation services. The primary objective is to\\\\nprovide insights into the developed methods and technologies employed. The methods are separated into two\\\\ndomains, namely the domain of citizen engagement approaches to educate people about forest fire prevention,\\\\nand the domain of mobile application development employed for disseminating knowledge and reporting on\\\\nhazardous situations in the forests. The evaluation of the mobile application took place both in the pilot\\\\ndemonstrations and meetings with the public to pinpoint any gaps and challenges.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"14:00 - 15:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 8 Risk & Community 1\"\r\n      },\r\n      {\r\n        \"id\": \"120\",\r\n        \"title\": \"Bridging Gaps, Building Futures: How DIREKTION Innovates for Global Disaster Resilience\",\r\n        \"authors\": \"Juliane Schlierkamp, Eileen Murphy and Louise Vos\",\r\n        \"track\": \"TRACK 12\",\r\n        \"abstract\": \"The DIREKTION project, funded under Horizon Europe, aims to revolutionize disaster resilience through advanced technology and collaboration. Addressing the challenges posed by climate change, infrastructure vulnerabilities, and dynamic population densities, it seeks a paradigm shift in emergency responses. By integrating innovative technologies with the practical needs of responders and policymakers, DIREKTION enhances cross-sectoral harmonization and fosters stakeholder communication. Early outputs include drafts of the DIREKTION Assessment and Screening Framework and D-SAT tool, establishing a foundation for future development. The project's presentation at ISCRAM invites valuable feedback and engagement, highlighting its commitment to improving disaster management practices and fostering a more resilient society.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 2\"\r\n      },\r\n      {\r\n        \"id\": \"124\",\r\n        \"title\": \"Augmented Reality Hologram Types for Pre-disaster Training\",\r\n        \"authors\": \"Stella Polikarpus, Reet Kasepalu and K\\u00e4rt Reitel\",\r\n        \"track\": \"TRACK 12\",\r\n        \"abstract\": \"The utilization of Augmented Reality (AR) holograms in firefighters' training presents a significant opportunity for the acquisition of first responders' practical skills. Nevertheless, given that AR represents a nascent and evolving technological paradigm, its integration within the framework of the crisis management cycle has not yet been firmly established. We analysed three hologram characteristics: dimension, scalability, and interactivity and report on the results of using five holograms (one 2D and four 3D) in a training application FightARs. The holograms were tested among in-service firefighters and commanders with the purpose of improving their knowledge in pre-disaster traffic accident training involving hazardous materials. The results indicate that QR-code scanning to open non-interactive non-scalable holograms can be used effectively to integrate holograms into physical training environments. A full-scale holographic scene is useful for training situation awareness. We propose that 3D non-interactive scalable or non-scalable holograms should be used to exercise practical skills. The paper emphasizes the necessity of extensively testing and incorporating AR into the training of first responders prior to its application in the response phase of crisis management.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 12 Visions 2\"\r\n      },\r\n      {\r\n        \"id\": \"134\",\r\n        \"title\": \"It\\u2019s a Machine Learning world: no future for Complex Event Processing?\",\r\n        \"authors\": \"Anne-Marie Barthe-Delano\\u00eb\",\r\n        \"track\": \"TRACK 12\",\r\n        \"abstract\": \"In 2010, Complex Event Processing was a groundbreaking approach for data processing for Early Warning\\\\nSystems and Decision Support Systems in the crisis management domain. Although Machine Learning has\\\\neclipsed CEP in the ISCRAM community these last few years, these two approaches do not fulfil the same\\\\nobjectives. With this article, a quantitative analysis is made on papers related to these domains to understand the\\\\ncurrent trends and identify the next challenges the ISCRAM community should address. Combining CEP with\\\\nML can help to overcome the strong assumptions made towards the CEP rules this last decade, such as the\\\\navailability of experts, structured data, etc. It is then recommended that the ISCRAM community explore the\\\\nhybridisation of these approaches to improve the responsiveness in real time of EWS and DSS in crisis situations,\\\\nemphasising the automatic, non-supervised generation of CEP rules.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 12 Visions 2\"\r\n      },\r\n      {\r\n        \"id\": \"106\",\r\n        \"title\": \"Can User Characteristics Predict Norm Adherence on Social Media? Exploring User-Centric Misinformation Interventions\",\r\n        \"authors\": \"Shangde Gao and Yan Wang\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"The work-in-progress explores user-centric misinformation interventions on social media as such tools are limited. Knowledge of relationships between online user characteristics and their expressed adherence to a desired norm (i.e., rejecting misinformation or supporting factual information) is understudied with limited integrated multi-modal machine-learning models to infer demographic and sociopsychological characteristics. Thus, we piloted 9,331 Twitter users tweeting COVID-19 vaccines between May 1, 2020, and April 30, 2021. Employing a CNN-LSTM framework, our model analyzes user biographies, profile images, and pre-COVID historical tweets to infer user traits over 90% accuracy for individual characteristics and an overall accuracy of 85.61%, which outperforms existing tools and other designs. Further, using multi-logistic regression, we identified significant predictors of users' adherence to desired norms, such as gender and pre-pandemic prosocial content engagement, while finding no significant age correlation. Our findings illuminate pathways for targeted misinformation mitigation strategies during critical public health crises.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 4\"\r\n      },\r\n      {\r\n        \"id\": \"116\",\r\n        \"title\": \"M-CATNAT: A Multimodal dataset toanalyze French tweets duringnatural disasters\",\r\n        \"authors\": \"Badreddine Farah, Omar El Bachyr, Guillaume Cleuziou, Ana\\u00efs Lefeuvre-Halftermeyer, C\\u00e9cile Gracianne, Samuel Auclair, Adel Hafiane and Raphael Canals\",\r\n        \"track\": \"TRACK 9\",\r\n        \"abstract\": \"The proliferation of social media, especially platforms like X (formerly Twitter), has made available a large volume\\\\nof real-time data valuable across diverse fields. During natural disasters, such data aids humanitarian efforts\\\\nby providing crucial insights. However, processing this vast amount of data necessitates automated systems,\\\\noften relying on annotated datasets for training. While supervised learning dominates this area, multilingual and\\\\nmultimodal annotated datasets are scarce. The present study addresses this gap by introducing M-CATNAT, a\\\\nmultimodal dataset of French tweets about natural disasters. Unlike previous datasets, M-CATNAT integrates\\\\nannotations for texts, images, and their multimodal combination. Leveraging CrisisMMD guidelines, this work in\\\\nprogress aims to annotate 1,430 tweets, generating over 4,500 labels. The M-CATNAT dataset not only expands\\\\nresources to non-English languages but also enhances multimodal analysis by furnishing three levels of annotation\\\\nfor each tweet (one per modality plus one for the whole tweet).\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 9 Social Media 4\"\r\n      },\r\n      {\r\n        \"id\": \"36\",\r\n        \"title\": \"Psychosocial Aspects of the 2021 Flood Disaster in Anonymous District, Germany: Strains, Resources, and the Role of Social Media\",\r\n        \"authors\": \"Francesca M\\u00fcller, Marvin Kubitza and Fiedrich Frank\",\r\n        \"track\": \"TRACK 11\",\r\n        \"abstract\": \"Purpose: With the increasing frequency of disasters, the focus of this paper is on the acute and long-term stress and strain resulting from the 2021 flood disaster and the role of social media in this. Methods: Data was collected through group discussions in the context of world caf \\u0301e sessions. In April 2023, three workshops were carried out with various groups of people in the Euskirchen district. Minutes and transcripts were analysed using Mayring\\u2019s qualitative content analysis. Results: The results indicate a high level of stress for those affected due to environmental, social and psychological factors on an analogue and digital dimension. The strain was usually recognised and acknowledged in the aftermath of the crisis situation. Conclusions: It is recommended that the inhibition threshold for mental health and psychosocial support be lowered further and that a psychosocial situation report be kept over a significantly longer period of time.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 11 Healthcare 2\"\r\n      },\r\n      {\r\n        \"id\": \"104\",\r\n        \"title\": \"Towards a Taxonomy for Conversational Agents in Disaster Management\",\r\n        \"authors\": \"Johannes G\\u00f6bel, Hans Betke and Stefan Sackmann\",\r\n        \"track\": \"TRACK 8\",\r\n        \"abstract\": \"Conversational agents are a technology that is used today in many different ways, for example as chatbots or voice dialog systems. While they are mostly used for applications in the business sector, research is also focusing on their use in other areas, such as medicine or disaster management. Events in recent years, such as the global Covid pandemic and advances in the field of language learning models, have led to many new approaches. Taxonomies are a good way to provide researchers and practitioners with a good overview of this growing field of research by classifying new and existing approaches. In this paper we present the current results in a methodological approach to develop a taxonomy for the classification of conversational agent approaches in disaster management. We describe the data basis of a structured literature search, the implementation of the method and the current dimensions and characteristics of the emerging taxonomy.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 8 Risk & Community 2\"\r\n      },\r\n      {\r\n        \"id\": \"126\",\r\n        \"title\": \"Tweeting Through the Flood: Application of BERT Topic Modeling for a Comparative Flood Communication Analysis\",\r\n        \"authors\": \"Christin Salley, Nathan Fox and Alyssa Schubert\",\r\n        \"track\": \"TRACK 8\",\r\n        \"abstract\": \"Floods are prevalent disasters in the United States, posing escalating risks due to climate change-induced factors like\\\\nrising sea levels and erratic rainfall patterns. Despite governmental efforts, flood risk communication remains\\\\ninadequate, hindering preparedness and response capacity. While governmental agencies predominantly employ\\\\ntraditional, one-sided information dissemination approaches, social media platforms pose as crucial early warning\\\\nindicators and sources of real-time information. This study conducts the first part of our intended comparative analysis\\\\nof social media messages between governmental agencies and communities. We perform a case study on a flooding\\\\nevent in Michigan from May 17-20, 2020. Utilizing advanced topic modeling, we examine Twitter\/X message content\\\\nand sentiment from community-based posts. Insights aim to inform more effective flood communication strategies,\\\\nbridging the gap between official information and community needs during events. Future work will compare social\\\\nmedia messages' content and sentiment from governmental agencies relative to those from the community.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 8 Risk & Community 2\"\r\n      },\r\n      {\r\n        \"id\": \"132\",\r\n        \"title\": \"Broadcasting Resilience: Developing Wildfire Readiness Through Student-Driven Radio Programs\",\r\n        \"authors\": \"Jose Azevedo\",\r\n        \"track\": \"TRACK 8\",\r\n        \"abstract\": \"This paper introduces an innovative educational initiative focused on producing a community radio program to enhance students' understanding of wildfires. It creates an open dialogue platform for students to share ideas and concerns about wildfire preparedness, promoting an inclusive and participatory learning environment. A key component of this educational approach is establishing a 'readiness' framework to equip students with the necessary competencies to converse thoughtfully and effectively about the multifaceted narratives, dilemmas, and tensions inherent in dealing with significant wildfires. The project also emphasizes the importance of risk communication, aiming to improve students' abilities to convey information about wildfire risks clearly and accurately, catering to diverse audience needs. This approach is vital for enabling students to make informed decisions and take appropriate actions before, during, and after wildfire events, thus integrating scientific understanding and practical communication skills to foster proactive community engagement.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 8 Risk & Community 2\"\r\n      },\r\n      {\r\n        \"id\": \"80\",\r\n        \"title\": \"A Study on The Heterogeneity of Tropical Cyclone Vulnerability Functions in Different Provinces along The Coastal Areas in China\",\r\n        \"authors\": \"Chenning Pan, Xiaoyong Ni, Xifan Shen and Ziyi Peng\",\r\n        \"track\": \"TRACK 10\",\r\n        \"abstract\": \"Coastal regions in China have long been plagued by tropical cyclone (TC) disasters, and TC vulnerability function for disaster-bearing bodies is a widely used quantitative vulnerability assessment method in face of TCs. TC vulnerability functions may vary across different regions due to geographical heterogeneity, hindering this method from universal use. This study systematically collects a 15-year-long dataset from 12 provinces in China. Six alternative TC vulnerability functions are comprehensively investigated by province, and a library of the optimal TC vulnerability functions for three kinds of disaster-bearing bodies, that is, economic, population, and crop in different provinces is developed. The heterogeneity of TC vulnerability in different provinces along the coastal areas in China is then thoroughly analyzed. This paper provides a deeper understanding of the spatial heterogeneity characteristics of disasters and disaster-bearing bodies, and provides good references for local departments to carry out more targeted disaster prevention and reduction work.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 2\"\r\n      },\r\n      {\r\n        \"id\": \"96\",\r\n        \"title\": \"Crisis Response and Management of Public Administrations: Forgotten Tales\",\r\n        \"authors\": \"Yannic Schulte, Malte Sch\\u00f6nefeld, Patricia M. Sch\\u00fctte and Frank Fiedrich\",\r\n        \"track\": \"TRACK 10\",\r\n        \"abstract\": \"Crises and disasters have become omnipresent worldwide in recent years. But thinking of managing those critical situations the focus of the public and scientific research in recent years was primarily on blue light organizations, i.e., classic emergency response organizations. This changed with the refugee situation in 2015\/2016 and the COVID-19 pandemic, when public administrations and local authorities in particular took on a central role in crisis management. They became the central players in those situations, played an important role at the interface with the local population and were the first point of contact and information for them. This article sheds light on municipal administrations in Germany which have often be overlooked in various stages of crisis management. Drawing on empirical evidence from a German research project, it delves into the extent to which municipalities may have been overlooked or disregarded in certain aspects.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 2\"\r\n      },\r\n      {\r\n        \"id\": \"117\",\r\n        \"title\": \"End-user perspective on the results and impact of European projects: a case of failure to innovate\",\r\n        \"authors\": \"Maaike van de Vorst, Kenny Meesters and Bert Brugghemans\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"First responder organisations (FROs) participating in European research projects often seem dissatisfied with their participation. This is because they are unable to implement the project results. This article looks at this phenomenon through the lens of ambidextrous organisations. It examines the different factors contributing to failure to innovate for FROs in EU projects by using interviews. The main results show that the structure of European projects is a major contributor to failure to innovate of the project results in FROs. Nonetheless, the structure of the FROs themselves can also provide hinderances.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 2\"\r\n      },\r\n      {\r\n        \"id\": \"133\",\r\n        \"title\": \"Uncovering Impact of Innovation: Continuous Stakeholder Engagement through Scenario-based Systems Engineering\",\r\n        \"authors\": \"Jens Pottebaum, Marcel Ebel and Iris Gr\\u00e4\\u00dfler\",\r\n        \"track\": \"TRACK 10\",\r\n        \"abstract\": \"The importance of extreme weather situations is increasing due to their number and, above all, their impact on\\\\nstakeholders in emergency response. They are characterized by cascading effects with global and local\\\\ninterdependencies. Extreme data must be included as a basis for decision-making. The impact in emergency\\\\nresponse depends on diverse, multidisciplinary competencies required to interpret information. Scenarios are used\\\\nin various forms of preparation: in exercises, but also for the design of information systems and validation. Based\\\\non literature, this article brings together different types of scenarios and related work in the field of Model-Based\\\\nSystems Engineering. Using an exemplary case relating to possible pluvial urban floods, the added value resulting\\\\nfrom a focus on the impact of innovative solutions is discussed. It is shown that the use of scenarios helps to make\\\\nthe desired impact assessable for decision-makers in all phases of research and development projects.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C204\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 10 Impact-driven Emergency 2\"\r\n      },\r\n      {\r\n        \"id\": \"6\",\r\n        \"title\": \"R2DN \\u2013 Integrating Databases about Natural Disasters\",\r\n        \"authors\": \"Jose Verissimo Pereira and Marcos Borges\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"The historical data on disasters serves various purposes, such as managing the risk of future disasters, assessing risk in the insurance sector, and formulating policies to reduce disaster risks, among others. To meet these objectives, there are databases, covering several types of disasters. However, in addition to differences in purposes, scope, access, and coverage, there are variations in the criteria for registering a disaster in the database and the information used for this register. Due to these differences, we have a scenario with discrepancies of information across existing databases. In this study, we propose a repository that combines the main advantages of some global databases, the data needs due to multilateral agreement, and the possibility of integrating regional or specific databases. The proposed Natural Disaster Data Repository (R2DN) contains a data schema and a data mapping process with two of the main global databases (EM-DAT and DesInventar) and S2ID.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 13 IS Humanitarian 1\"\r\n      },\r\n      {\r\n        \"id\": \"9\",\r\n        \"title\": \"The Role of Digitalization During Supply Chain Disruptions: Lessons from the Experiences of Family-Owned Austrian Firms During the COVID-19 Pandemic\",\r\n        \"authors\": \"Deepak Khazanchi and Reinhard Bernsteiner\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"The COVID-19 pandemic strained global supply chains, and companies faced numerous production, logistics, or material management problems. It is claimed that the digitalization of supply chains can have the potential to make supply chains more resilient to interruptions and disruptions. This article focuses on describing the experiences of three large Austrian family-owned business during the supply chain disruptions caused by the pandemic and the Russia-Ukraine war. This assessment is done from the perspective of the supply chain leaders in the organization. We provide insights on what worked and what did not for these firms and what lessons we can take away from their experiences.\",\r\n        \"day\": \"Tuesday, May 28th\",\r\n        \"timeslot\": \"16:00 - 17:30\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 11 Healthcare 2\"\r\n      },\r\n      {\r\n        \"id\": \"18\",\r\n        \"title\": \"Comparative Analysis of Strategies for National Food Stockpiling: A Case Study of Germany and Switzerland\",\r\n        \"authors\": \"Katharina Eberhardt, Simon Stieler, Florian Klaus Kaiser and Frank Schultmann\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"Effective disaster preparedness, including the strategic stockpiling of resources, is crucial to respond quickly and efficiently to unforeseen crises. Therefore, we contribute to understanding effective disaster preparedness by examining the national food stockpiling practices in Germany and Switzerland, nations renowned for their proactive disaster management and high levels of preparedness. Using comparative content analysis, we thoroughly investigate the strategies, stakeholder involvement, and economic aspects these nations employ to ensure food supply. Insights are gained through in-depth interviews with experts in disaster management, food production, and food supply. The analysis reveals significant differences in the approaches, highlighting benefits and drawbacks for policymakers and practitioners. Our research underscores the importance of different strategies to suit national contexts and provides insights into best practices for enhancing food security and supply in the face of disasters.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 13 IS Humanitarian 1\"\r\n      },\r\n      {\r\n        \"id\": \"119\",\r\n        \"title\": \"Navigating the Digital Technology Behavior for the Distribution of Humanitarian Cash-Based Assistance: Aid Recipients Experience\",\r\n        \"authors\": \"Amin Maghsoudi and Abdelsalam Hamid Abakar\",\r\n        \"track\": \"TRACK 13\",\r\n        \"abstract\": \"Cash-based assistance (CBA) programs have become an increasingly common approach as one modality for the provision of humanitarian aid. The use of disruptive and digital technologies (such as mobile money, electronic vouchers) has provided benefits to implementation of such programs in terms of for instance, cost effectiveness, timeliness, coverage, safety, and financial inclusion. Despite the benefits, the digitalization of such programs is very context-dependent, including the needs and characteristics of affected populations as end recipients of the assistance. This research is aimed to investigate the contextual characteristics toward digital transformation addressing the end user\\u2019s experience. The series of interviews is conducted from humanitarian practitioners based in Uganda. The findings are yet to be analyzed, but some initial findings are discussed, and future research is addressed in the conclusion.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C205\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 13 IS Humanitarian 1\"\r\n      },\r\n      {\r\n        \"id\": \"84\",\r\n        \"title\": \"Scenario planning to enable foresight in crisis management\",\r\n        \"authors\": \"Marte Luesink, Jeroen Wolbers, Menno van Duin and Sanneke Kuipers\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"In today\\u2019s interconnected society, we are witnessing crises traversing into new domains and effortlessly cross\\\\nboundaries. Therefore, it is crucial to develop adequate foresight in order to chart a course of action. In this paper,\\\\nwe propose scenario planning as a key technique. Based on an explorative study of 30 interviews with\\\\nrepresentatives from all Dutch safety regions, we answer the question: in what ways can scenario planning\\\\nfacilitate foresight in crisis information management? Our results indicate that all regions in the Netherlands are\\\\ninvesting in training and capacity building for scenario planning, but there is no consensus on the chosen methods\\\\nand institutionalization. Qualitative approaches to scenario planning are dominant, while opportunities arise for\\\\nquantitative approaches. We propose real-time and strategic foresight as a promising research agenda, and suggest\\\\nways for information systems research to develop data-driven tools that may help chart the impact of future\\\\ncontingencies.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 2\"\r\n      },\r\n      {\r\n        \"id\": \"93\",\r\n        \"title\": \"One System to Connect them All - A Core System for Realizing Integrated Command and Control Research\",\r\n        \"authors\": \"Bj\\u00f6rn Johansson, Jesper Tordenlid, Jonas Lundberg and Jens Alfredson\",\r\n        \"track\": \"TRACK 1\",\r\n        \"abstract\": \"Command and Control (C2) for emergency and crisis response is an important field that poses several research\\\\nchallenges. This paper suggests that Command and Control should be viewed from a holistic point of view, that\\\\nis the C2 activity system, and that technical C2 support systems must be understood in the broader context of the\\\\nwhole C2 activity system. Studying individual components of C2, such as decision-making, is important, but\\\\nstudying individual components mask out the complexity of C2 as a socio-technical activity. The paper presents\\\\nan approach to studying C2 based on a generic C2 model combined with a technical core system for connecting\\\\ndifferent sub-technologies and services \\u2013 which creates a re-configurable environment for research efforts in the\\\\nfield of C2 that can span different activity system parts and focus areas.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 2\"\r\n      },\r\n      {\r\n        \"id\": \"109\",\r\n        \"title\": \"Unified command? Preliminary findings from a situation awareness experiment\",\r\n        \"authors\": \"Jeroen Wolbers\",\r\n        \"track\": \"TRACK 1\",\r\n        \"abstract\": \"This study investigates high-pressure decision-making in fire response operations, with a particular focus on the\\\\ncognitive abilities of incident commanders. It builds upon the naturalistic decision-making approach, emphasizing\\\\nthe pivotal role of situational awareness in decision-making. While existing studies predominantly concentrate on\\\\nindividual decision-makers, this study shifts attention to the collaborative dynamics within incident command\\\\nteams. Through computer-based experiments, it explores the impact of interdependence between fireground\\\\ncommanders on situational awareness, challenging the presumed benefits of teamwork. Counterintuitive results\\\\nquestion the conventional wisdom regarding the advantages of having a second pair of eyes. The experiment's\\\\nfindings indicate that commanders operating alone achieve the highest situational awareness scores, suggesting\\\\nthat organizing periodic moments of consultation works better than operating in pairs during response operations.\\\\nThis study provides insights into the intricate interplay of interdependence and situational awareness during highpressured\\\\ndecision-making.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 2\"\r\n      },\r\n      {\r\n        \"id\": \"111\",\r\n        \"title\": \"Collaborative Evaluation: Mapping Socio-Technical Patterns in an Emergency Exercise\",\r\n        \"authors\": \"Kjetil Rustenberg, Kristine Steen-Tveit, Bj\\u00f8rn Erik Munkvold and Jaziar Radianti\",\r\n        \"track\": \"TRACK 1\",\r\n        \"abstract\": \"Evaluating both exercises and real events can be challenging. This is especially evident in full-scale exercises, where a wide range of organizations must collaborate to solve a common problem. Information sharing, use of technology, and role understanding can be particularly challenging. In this article, we illustrate how academia can meaningfully engage in conducting and executing a comprehensive Emergency Exercise, ensuring that insights from prior research are evident from the outset. We employ a method where we co-create a Socio-Technical Network map together with practitioners. The method provides results that help visualize the complexity generated by large-scale collaboration, fostering involvement and engagement from both researchers and practitioners. Through this mapping, we gained valuable insights into barriers to Team Situation Awareness, technological possibilities and limitations, and a better understanding of various roles and their information needs.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C215\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 1+2 Command & Control + GIS 2\"\r\n      },\r\n      {\r\n        \"id\": \"5\",\r\n        \"title\": \"Contextualizing Effective Use of Health Information Systems in Humanitarian Setting: The role of Transparent Interaction\",\r\n        \"authors\": \"Marta Maria Vila-Pozo\",\r\n        \"track\": \"TRACK 4\",\r\n        \"abstract\": \"Humanitarian organizations strive for efficient and effective interventions, with information systems playing a crucial role. However, integrating data collection and processes within their operations remains a challenge. This paper examines the effective use of a Health Management Information System in a humanitarian context. Effective use aims at helping information systems contribute to the organisational objectives and holds promises to help improving information systems in this domain. The analysis uncovers obstacles related to system access and learning processes, suggesting that transparent interaction is vital for success. Transparent interaction is the first dimension in the Theory of Effective Use. Through contextualization, this paper defines effective use in humanitarian settings and evaluates the theoretical model's validity in this unique context. Drawing from concepts from the information systems body of theory, it contributes to the understanding of effective use by offering a contextualized model and a clear definition of transparent interaction, emphasizing its significance.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"CoRe\",\r\n        \"tracksession\": \"Track 4 ICT Usability 1\"\r\n      },\r\n      {\r\n        \"id\": \"49\",\r\n        \"title\": \"Avoiding 'metal astray': experience evaluation of virtual reality training for melting furnace operators.\",\r\n        \"authors\": \"Jo Dugstad Wake and Frode Guribye\",\r\n        \"track\": \"TRACK 4\",\r\n        \"abstract\": \"The work of melting furnace operators is potentially hazardous and serious accidents do occur. Training on the\\\\nmonitoring and safe operation of furnaces is key to the safety of the operators and their surroundings. Virtual\\\\nReality (VR) environments can simulate safety critical work environments and provide realistic, safe and engaging\\\\nways to train on situations otherwise unavailable. To address the potential of using VR in safety training, the VR\\\\nenvironment called VR Safe was developed. This paper presents a study of the user experience of training safety\\\\ncritical procedures in VR. VR Safe simulates malfunction in one of the most important systems regarding safe\\\\noperation of furnaces: furnace cooling system monitoring and how to respond to cooling system failure. The\\\\nevaluation included professional furnace operators, and was focused on usability of the system, user engagement\\\\nand the training value as it relates to the operators\\u2019 work.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 4 ICT Usability 1\"\r\n      },\r\n      {\r\n        \"id\": \"73\",\r\n        \"title\": \"First Evaluation of the Usability and Usefulness of the PROACTIVE App\",\r\n        \"authors\": \"Laura Petersen, Natasha McCrone, Grigore Hav\\u00e2rneanu and Garik Markarian\",\r\n        \"track\": \"TRACK 4\",\r\n        \"abstract\": \"One way to reduce the communication challenges associated with Chemical, Biological, Radiological, Nuclear and explosive (CBRNe) incidents management could be a public facing disaster smartphone app, of which none are currently available. The EU funded project PROACTIVE used an iterative, co-creation methodology to develop such an app. This work-in-progress paper examines the preliminary results of a questionnaire given to observers who were tasked with using the beta app during a first field training exercise. The results show that the app was found to be usable and useful. Based on the results of the current evaluation exercise, the app will be updated, taking into account the end-user inputs. Following which, the app will undergo testing in two additional field training exercises, in an iterative manner, before reaching the final, end-of-project version.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 4 ICT Usability 1\"\r\n      },\r\n      {\r\n        \"id\": \"129\",\r\n        \"title\": \"Evacuation Social Support Among New Orleans Households: Implications for Evacuation Management Systems\",\r\n        \"authors\": \"Rob Grace and Hyeong Suk Na\",\r\n        \"track\": \"TRACK 16\",\r\n        \"abstract\": \"This study reports findings from a survey administered in 2023 to investigate New Orleans households\\u2019 social support networks: family and friends who can provide them with accommodations and other assistance during evacuations caused by hurricanes and other hazards. Findings describe the demographics and evacuation destination and accommodation intentions of households with and without social support, as well as the factors these households consider when choosing an evacuation destination. Preliminary findings show that 86% of respondents report at least one relative or friend with whom they can stay during an evacuation. However, the range and size of respondents\\u2019 social support networks vary and influences where they will go and stay during an evacuation. In contrast, 14% of respondents lack social support and these respondents are most likely to stay at a hotel or public shelter during an evacuation. Implications for the design of evacuation management systems are discussed, including systems that support the discovery of vulnerable households and coordination with community organizations that provide transportation and temporary housing during evacuations.\",\r\n        \"day\": \"Wednesday, May 29th\",\r\n        \"timeslot\": \"10:30 - 12:00\",\r\n        \"room\": \"C4\",\r\n        \"type\": \"WiP\",\r\n        \"tracksession\": \"Track 4 ICT Usability 1\"\r\n      }\r\n    ]\r\n    \r\n    \r\n    \r\n    \r\n                 \r\n    `;\r\n\r\n    const presentations = JSON.parse(jsonString);\r\n\r\n    function populateTracks() {\r\n      const trackSelect = document.getElementById('cPTrack');\r\n      const trackNames = [\r\n          \"Track 1: Command & Control Studies\",\r\n          \"Track 2: Geographic Information Science (GIS) for Crisis Management\",\r\n          \"Track 3: Volunteers in Crisis and Emergency Management\",\r\n          \"Track 4: Usability and Universal Design of ICT for Emergency Management\",\r\n          \"Track 5: Integrated Wildfire Risk Management\",\r\n          \"Track 6: Wildfire Evacuation: Social Resilience and Local Community Response\",\r\n          \"Track 7: IT Solutions for Crisis Management\",\r\n          \"Track 8: Risk Communication and Community Engagement\",\r\n          \"Track 9: Social Media for Crisis Management\",\r\n          \"Track 10: Impact-driven Emergency and Crisis Management\",\r\n          \"Track 11: Disaster Public Health & Healthcare Informatics\",\r\n          \"Track 12: Visions for Future Crisis Management\",\r\n          \"Track 13: Information Systems in Humanitarian Operations\",\r\n          \"Track 14: Analytical Modeling and Simulation\",\r\n          \"Track 15: Collaborative Robots for Emergency Situations\",\r\n          \"Track 16: Open Track\"\r\n      ];\r\n  \r\n      trackNames.forEach(function(trackName, index) {\r\n          let option = document.createElement('option');\r\n          option.value = `TRACK ${index + 1}`;\r\n          option.textContent = trackName;\r\n          trackSelect.appendChild(option);\r\n      });\r\n  }\r\n\r\n  function filterSinglePresentation(presentation, addButton) {\r\n\r\n      const li = document.createElement('li');\r\n\r\n      const paperContainer = document.createElement('div');\r\n      \r\n      switch(presentation.room){\r\n        case \"C1\":\r\n          paperContainer.className = 'paper-container room-c1';\r\n          break;\r\n        case \"C4\":\r\n          paperContainer.className = 'paper-container room-c4';\r\n          break;\r\n        case \"C215\":\r\n          paperContainer.className = 'paper-container room-c215';\r\n          break;\r\n        case \"C204\":\r\n          paperContainer.className = 'paper-container room-c204';\r\n          break;\r\n        case \"C205\":\r\n          paperContainer.className = 'paper-container room-c205';\r\n          break;\r\n        default:\r\n          paperContainer.className = 'paper-container';\r\n      }\r\n\r\n      paperContainer.setAttribute('data-title', presentation.title);\r\n      paperContainer.setAttribute('data-type', presentation.type);\r\n      paperContainer.setAttribute('data-authors', presentation.authors);\r\n      paperContainer.setAttribute('data-day', presentation.day);\r\n      paperContainer.setAttribute('data-timeslot', presentation.timeslot);\r\n      paperContainer.setAttribute('data-room', presentation.room);\r\n\r\n      const detailsDiv = document.createElement('details');\r\n      detailsDiv.className = 'paper-details'\r\n\r\n      const infoDiv = document.createElement('summary');\r\n      infoDiv.className = 'paper-info'\r\n\r\n      const titleDiv = document.createElement('div');\r\n      titleDiv.className = 'presentation-title';\r\n      titleDiv.textContent = presentation.title;\r\n\r\n      const typeDiv = document.createElement('div');\r\n      typeDiv.className = 'presentation-type';\r\n      typeDiv.textContent = presentation.type;\r\n\r\n      const authorsDiv = document.createElement('div');\r\n      authorsDiv.className = 'presentation-authors';\r\n      authorsDiv.textContent = presentation.authors;\r\n\r\n      const trackTimeRoomDiv = document.createElement('div');\r\n      trackTimeRoomDiv.className = 'paper-tracktimeroom'\r\n\r\n      const trackDiv = document.createElement('div');\r\n      trackDiv.className = 'presentation-track';\r\n      trackDiv.textContent = presentation.track;\r\n\r\n      const timeDiv = document.createElement('div');\r\n      timeDiv.className = 'presentation-time';\r\n      timeDiv.textContent = `${presentation.day} from ${presentation.timeslot}`;\r\n\r\n      const roomDiv = document.createElement('div');\r\n      \r\n      switch(presentation.room){\r\n        case \"C1\":\r\n          roomDiv.className = 'presentation-room room-c1';\r\n          break;\r\n        case \"C4\":\r\n          roomDiv.className = 'presentation-room room-c4';\r\n          break;\r\n        case \"C215\":\r\n          roomDiv.className = 'presentation-room room-c215';\r\n          break;\r\n        case \"C204\":\r\n          roomDiv.className = 'presentation-room room-c204';\r\n          break;\r\n        case \"C205\":\r\n          roomDiv.className = 'presentation-room room-c205';\r\n          break;\r\n        default:\r\n          roomDiv.className = 'presentation-room';\r\n      }\r\n\r\n      roomDiv.textContent = `${presentation.room}`;\r\n\r\n      const abstractDiv = document.createElement('div');\r\n      abstractDiv.className = 'presentation-abstract';\r\n      abstractDiv.textContent = `${presentation.abstract}`;\r\n\r\n      infoDiv.appendChild(titleDiv);\r\n      infoDiv.appendChild(typeDiv);\r\n      infoDiv.appendChild(authorsDiv);\r\n      trackTimeRoomDiv.appendChild(trackDiv);\r\n      trackTimeRoomDiv.appendChild(timeDiv);\r\n      trackTimeRoomDiv.appendChild(roomDiv);\r\n      infoDiv.appendChild(trackTimeRoomDiv);\r\n      detailsDiv.appendChild(abstractDiv);\r\n      detailsDiv.appendChild(infoDiv);\r\n      paperContainer.appendChild(detailsDiv);\r\n      paperContainer.appendChild(addButton);\r\n      li.appendChild(paperContainer);\r\n\r\n      return li;\r\n  }\r\n\r\nfunction createAddButton(p) {\r\n    var addButton = document.createElement(\"button\");\r\n    addButton.className = \"custom-schedule-add\";\r\n    addButton.textContent = \"Add presentation to my schedule\";\r\n    addButton.onclick = function() {\r\n      addTodo(p);\r\n    };\r\n    return addButton;\r\n  }\r\n\r\nfunction filterPresentations() {\r\n      const input = document.getElementById('cPInput').value.toLowerCase();\r\n      const abstractInput = document.getElementById('cPAbstractInput').value.toLowerCase();\r\n      const selectedDay = document.getElementById('cPDay').value;\r\n      const selectedTrack = `TRACK ${document.getElementById('cPTrack').selectedIndex}`;\r\n      const list = document.getElementById('presentationList');\r\n\r\n      list.innerHTML = ''; \/\/ Clear current list\r\n\r\n      presentations.sort((a,b) => a.room.localeCompare(b.room));\r\n      presentations.sort((a,b) => a.timeslot.localeCompare(b.timeslot));\r\n      presentations.sort((a,b) => a.day.localeCompare(b.day));\r\n\r\n      for(p of presentations){\r\n          if (\r\n              (p.title.toLowerCase().includes(input) || p.authors.toLowerCase().includes(input)) &&\r\n              (p.abstract.toLowerCase().includes(abstractInput)) &&\r\n              (selectedDay === 'all' || p.day === selectedDay) &&\r\n              (selectedTrack === 'TRACK 0' || p.track === selectedTrack)\r\n          ){          \r\n              var addButton = createAddButton(p); \r\n              var li = filterSinglePresentation(p, addButton)\r\n              list.append(li);\r\n          }\r\n      }\r\n  }\r\n\r\n  function filterByClick(selectedSession) {\r\n    const list = document.getElementById('presentationList');\r\n  \r\n    list.innerHTML = ''; \/\/ Clear current list\r\n  \r\n    for(p of presentations){\r\n        if (\r\n            (p.tracksession === selectedSession)\r\n        ){\r\n            var addButton = createAddButton(p); \r\n            var li = filterSinglePresentation(p, addButton)\r\n            list.append(li);\r\n        }\r\n    }\r\n  }\r\n\r\ndocument.addEventListener('DOMContentLoaded', function() {\r\n    populateTracks();\r\n    document.getElementById('cPInput').addEventListener('input', filterPresentations);\r\n    document.getElementById('cPAbstractInput').addEventListener('input', filterPresentations);\r\n    document.getElementById('cPDay').addEventListener('change', filterPresentations);\r\n    document.getElementById('cPTrack').addEventListener('change', filterPresentations);\r\n    filterPresentations();\r\n});\r\n\r\nlet addTodo = (presentation) => {\r\n    setData(presentation);\r\n}\r\n\r\n\/* handler for get todo  *\/\r\nlet getData = (item = null) => {\r\n\r\n  let data = JSON.parse(localStorage.getItem('myschedule')); \r\n  if(data){\r\n\r\n      if(item) {\r\n          if(data.findIndex(i => i.id == item.id) != -1){\r\n              return data[item];\r\n          }\r\n          else{\r\n              return false;\r\n          }\r\n      }\r\n      return data;\r\n  }\r\n  return false;\r\n}\r\n\r\n\r\n\/* handler for set data\/item todo  *\/\r\nlet setData = (item) => {\r\n  if(getData(item) != false) {\r\n    notifyAboutAction(`The paper is already in your schedule.`);\r\n  }\r\n  \r\n  else{\r\n      let data = getData(); \/\/ call getdata handler for getting  data from list \r\n      data = (data != false) ? data : []; \r\n      data.push(item);\r\n      data = JSON.stringify(data);\r\n      localStorage.setItem('myschedule',data);\r\n      notifyAboutAction(`The paper has been added to your schedule.`);\r\n  }\r\n}\r\n\r\nfunction notifyAboutAction(text) {\r\n  var notification = document.getElementById('notification');\r\n  var notificationText = document.getElementById('notificationText');\r\n  notificationText.innerText = text;\r\n  notification.style.display = 'block';\r\n}\r\n\r\nfunction closeNotification() {\r\n  var notification = document.getElementById('notification');\r\n  notification.style.display = 'none';\r\n}\r\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>CONFERENCE PROGRAM BY DAY Explore the detailed conference program below. Extend any day to view its full schedule and associated rooms. Click on a track session or program point to view the relevant information, or use the Paper Search Tool to search for specific papers. Sunday, May 26th Room 1 Room 2 Room 3 Room &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/iscram2024.ercis.org\/index.php\/conference-program\/conference-program-overview\/\">Continue reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2930,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3295","page","type-page","status-publish","hentry","nodate","item-wrap"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/pages\/3295","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/comments?post=3295"}],"version-history":[{"count":125,"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/pages\/3295\/revisions"}],"predecessor-version":[{"id":3619,"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/pages\/3295\/revisions\/3619"}],"up":[{"embeddable":true,"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/pages\/2930"}],"wp:attachment":[{"href":"https:\/\/iscram2024.ercis.org\/index.php\/wp-json\/wp\/v2\/media?parent=3295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}