{"id":5751,"date":"2026-06-03T07:41:45","date_gmt":"2026-06-03T07:41:45","guid":{"rendered":"https:\/\/conferences.sigappfr.org\/wise2026\/?page_id=5751"},"modified":"2026-06-17T09:26:02","modified_gmt":"2026-06-17T09:26:02","slug":"workshop-ai-wiser","status":"publish","type":"page","link":"https:\/\/conferences.sigappfr.org\/wise2026\/workshop-ai-wiser\/","title":{"rendered":"Workshop AI-WISER"},"content":{"rendered":"<p>[vc_row][vc_column][vc_column_text]<\/p>\n<h2 id=\"The_1st_International_Workshop_on_LLM-Driven_Agents\">Workshop on AI-Driven Web Information Systems for Disaster Monitoring and Smart Emergency Response (AI-WISER 2026)<\/h2>\n<p>Recent disasters have exposed the limits of fragmented monitoring systems and isolated decision-support tools. This workshop focuses on AI-driven Web information systems that integrate heterogeneous spatiotemporal data, foundation models, and decision intelligence for disaster monitoring and smart emergency response. It aims to bring together researchers in Web information systems, geospatial computing, data management, AI, and emergency management to discuss how Web-based platforms can support perception, understanding, prediction, coordination, and decision-making across the disaster lifecycle. Particular attention will be given to multi-source data fusion, remote sensing and social sensing, knowledge-enhanced reasoning, trustworthy AI, and human-in-the-loop operations. The novelty lies in treating disaster intelligence not only as an AI modeling problem, but as an end-to-end Web information systems engineering challenge involving data infrastructure, semantic integration, service orchestration, interactive analytics, and actionable decision support.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_tta_accordion][vc_tta_section title=&#8221;Topics of Interest (But not limited to)&#8221; tab_id=&#8221;1669785090648-608172ee-d777&#8243;][vc_column_text]<\/p>\n<h4>The workshop welcomes original research papers, position papers, system papers, and case studies on topics including, but not limited to:<\/h4>\n<ul>\n<li>Web information systems for disaster monitoring, risk assessment, and emergency response.<\/li>\n<li>Spatiotemporal data management, indexing, retrieval, and analytics for disaster scenarios.<\/li>\n<li>Integration of remote sensing, IoT, volunteered geographic information, social media, and open Web data.<\/li>\n<li>Foundation models and large language models for disaster perception, interpretation, and response planning.<\/li>\n<li>Multimodal learning for satellite imagery, geospatial data, text, sensor streams, and emergency reports.<\/li>\n<li>Web-based knowledge graphs, semantic modeling, and ontology engineering<br \/>\nfor disaster intelligence.<\/li>\n<li>Retrieval-augmented generation and knowledge-enhanced reasoning for emergency decision support.<\/li>\n<li>AI agents and work\u001dow automation for emergency coordination and response<br \/>\noperations.<\/li>\n<li>Human-in-the-loop systems for crisis management, situational awareness,<br \/>\nand expert validation.<\/li>\n<li>WebGIS, digital twins, and interactive visualization systems for disaster<br \/>\nmonitoring.<\/li>\n<li>Decision intelligence, resource allocation, evacuation planning, and response<br \/>\noptimization.<\/li>\n<li>Trustworthy, explainable, robust, and privacy-preserving AI for high-stakes<br \/>\nemergency applications.<\/li>\n<li>Cloud-edge collaborative architectures for real-time disaster data processing.<\/li>\n<li>Benchmark datasets, evaluation protocols, and reproducibility for disasterrelated Web information systems.<\/li>\n<li>Real-world applications and deployments in \u001dood, wild\u001cre, earthquake, landslide, storm, public health, and compound disaster scenarios.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=&#8221;Paper Submission Guidelines&#8221; tab_id=&#8221;1778952201377-56c357f8-bbb9&#8243;][vc_column_text]All submissions for this workshop must be written in English and conform to the Springer proceedings format with the following page limits: 12 pages for papers including references. Submitted papers will undergo a \u201cdouble-blind\u201d review process, coordinated by the Program Committee. To ensure anonymity of authorship, authors must ensure that authors\u2019 names, affiliations, funding, and any other identifying information of authorship do not appear on the title page or elsewhere in the paper. Authors must provide the complete and final list of authors at the submission stage. No addition, removal, or change in the order of authors is allowed after submission.<\/p>\n<p>Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: <span class=\"j_topics_table_font\"><a style=\"color: #ffbb00;\" href=\"https:\/\/www.springer.com\/gp\/computer-science\/lncs\/conference-proceedings-guidelines\">https:\/\/www.springer.com\/gp\/computer-science\/lncs\/conference-proceedings-guidelines<\/a><\/span>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=&#8221;Publication&#8221; tab_id=&#8221;1699374020537-eb707e08-cc9a&#8221;][vc_column_text]<\/p>\n<div align=\"justify\">The papers accepted in this workshop will be published in the proceedings\u00a0 published by Springer in <a style=\"color: #ffbb00;\" href=\"http:\/\/www.springer.com\/series\/7899\">Computer and Information Science (CCIS)<\/a>.<\/div>\n<p>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=&#8221;Submissions&#8221; tab_id=&#8221;1706778996934-13a2f3b1-4aa1&#8243;][vc_column_text]All paper submissions for this workshop will be via <a style=\"color: #ffbb00;\" href=\"https:\/\/cmt3.research.microsoft.com\/WISE2026\"><strong>Microsoft CMT<\/strong><\/a> (under \u201cWorkshop on AI-Driven Web Information Systems for Disaster Monitoring and Smart Emergency Response&#8221;).<\/p>\n<p>The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.[\/vc_column_text][\/vc_tta_section][vc_tta_section title=&#8221;Important Dates&#8221; tab_id=&#8221;1669785352215-8e3485c4-ec7d&#8221;][vc_column_text]<\/p>\n<table class=\"dates_table\" align=\"center\">\n<tbody>\n<tr class=\"dates_tr\">\n<td class=\"dates_td\">Submission Deadline (extended)<\/td>\n<td class=\"dates_td\"><s>17 June 2026<\/s> <strong>30 June 2026<\/strong><\/td>\n<\/tr>\n<tr class=\"dates_tr\">\n<td class=\"dates_td\">Authors Notification (revised)<\/td>\n<td class=\"dates_td\"><s>20 July 2026<\/s> 30 July 2026<\/td>\n<\/tr>\n<tr class=\"dates_tr\">\n<td class=\"dates_td\">Final Manuscript Due<\/td>\n<td class=\"dates_td\">25 August 2026<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>*All deadlines are 23:59 Anywhere on Earth.[\/vc_column_text][\/vc_tta_section][vc_tta_section title=&#8221;Organizers&#8221; tab_id=&#8221;1778952435278-66ec2e42-1a43&#8243;][vc_column_text]<\/p>\n<ul>\n<li>Yuewei Wang (China University of Geosciences (Wuhan)) &lt;<a href=\"mailto:yuewei.w@cug.edu.cn\">yuewei.w@cug.edu.cn<\/a>&gt;<\/li>\n<li>Xiaohui Huang (China University of Geosciences (Wuhan)) &lt;<a href=\"mailto:xhhuang@cug.edu.cn\">xhhuang@cug.edu.cn<\/a>&gt;<\/li>\n<li>Li Cao ( The Second Surveying and Mapping Institute of Hunan Province ) &lt;<a href=\"mailto:cl@img.net\">cl@img.net<\/a>&gt;<\/li>\n<li>Xiaodao Chen ( China University of Geosciences (Wuhan) ) &lt;<a href=\"mailto:xiaodao_chen@foxmail.com\">xiaodao_chen@foxmail.com<\/a>&gt;<\/li>\n<li>Wei Han (China University of Geosciences (Wuhan)) &lt;<a href=\"mailto:weihan@cug.edu.cn\">weihan@cug.edu.cn<\/a>&gt;<\/li>\n<li>Yunliang Chen ( China University of Geosciences (Wuhan) ) &lt;<a href=\"mailto:chenyunliang@cug.edu.cn\">chenyunliang@cug.edu.cn<\/a>&gt;<\/li>\n<li>Jianxin Li (Edith Cowan University) &lt;<a href=\"mailto:jianxin.li@ecu.edu.au\">jianxin.li@ecu.edu.au<\/a>&gt;<\/li>\n<li>Shiyan Hu ( The University of Hong Kong ) &lt;<a href=\"mailto:shiyanhu@hku.hk\">shiyanhu@hku.hk<\/a>&gt;<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_tta_section][\/vc_tta_accordion][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text] Workshop on AI-Driven Web Information Systems for Disaster Monitoring and Smart Emergency Response (AI-WISER 2026) Recent disasters have exposed the limits of fragmented monitoring systems and isolated decision-support tools. This workshop focuses on AI-driven Web information systems that integrate&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5751","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/pages\/5751","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/comments?post=5751"}],"version-history":[{"count":2,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/pages\/5751\/revisions"}],"predecessor-version":[{"id":5775,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/pages\/5751\/revisions\/5775"}],"wp:attachment":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/media?parent=5751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}