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 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.
The workshop welcomes original research papers, position papers, system papers, and case studies on topics including, but not limited to:
- Web information systems for disaster monitoring, risk assessment, and emergency response.
- Spatiotemporal data management, indexing, retrieval, and analytics for disaster scenarios.
- Integration of remote sensing, IoT, volunteered geographic information, social media, and open Web data.
- Foundation models and large language models for disaster perception, interpretation, and response planning.
- Multimodal learning for satellite imagery, geospatial data, text, sensor streams, and emergency reports.
- Web-based knowledge graphs, semantic modeling, and ontology engineering
for disaster intelligence. - Retrieval-augmented generation and knowledge-enhanced reasoning for emergency decision support.
- AI agents and work ow automation for emergency coordination and response
operations. - Human-in-the-loop systems for crisis management, situational awareness,
and expert validation. - WebGIS, digital twins, and interactive visualization systems for disaster
monitoring. - Decision intelligence, resource allocation, evacuation planning, and response
optimization. - Trustworthy, explainable, robust, and privacy-preserving AI for high-stakes
emergency applications. - Cloud-edge collaborative architectures for real-time disaster data processing.
- Benchmark datasets, evaluation protocols, and reproducibility for disasterrelated Web information systems.
- Real-world applications and deployments in ood, wild re, earthquake, landslide, storm, public health, and compound disaster scenarios.
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 “double-blind” review process, coordinated by the Program Committee. To ensure anonymity of authorship, authors must ensure that authors’ 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.
Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
All paper submissions for this workshop will be via Microsoft CMT (under “Workshop on AI-Driven Web Information Systems for Disaster Monitoring and Smart Emergency Response”).
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.
| Paper Submission | June 17, 2026 |
| Acceptance Notification | July 20, 2026 |
| Camera Ready | August 25, 2026 |
*All deadlines are 23:59 Anywhere on Earth time.
- Yuewei Wang (China University of Geosciences (Wuhan)) <[email protected]>
- Xiaohui Huang (China University of Geosciences (Wuhan)) <[email protected]>
- Li Cao ( The Second Surveying and Mapping Institute of Hunan Province ) <[email protected]>
- Xiaodao Chen ( China University of Geosciences (Wuhan) ) <[email protected]>
- Wei Han (China University of Geosciences (Wuhan)) <[email protected]>
- Yunliang Chen ( China University of Geosciences (Wuhan) ) <[email protected]>
- Jianxin Li (Edith Cowan University) <[email protected]>
- Shiyan Hu ( The University of Hong Kong ) <[email protected]>
