EM-GIS 2023: 8th ACM SIGSPATIAL International Workshop on Security Response using GIS 2023 Hamburg, Germany, November 13, 2023 |
Conference website | https://em-gis2023.github.io/ |
Submission link | https://easychair.org/conferences/?conf=emgis2023 |
The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2023 (ACM SIGSPATIAL 2023), the thirty-first edition, will be held in Hamburg, Germany, November 13-16, 2023. Traditionally, all workshops will be held on November 13, 2023 at the main conference venue. The former workshops, known as EM-GIS, had been held several times, starting in 2015 and continuing until 2021. EM-GIS 2023 aims to continue this practice and invites submission of papers.
Safety refers to the stable external environment and orders wherein society and citizens need to engage in and conduct normal life, work, study, entertainment, and communication. Resilience in public safety refers to the ability to withstand the shocks and pressures of emergencies on society, economy, technology systems and infrastructure, and to maintain the basic structure and functions of an emergency event. The Resilience theory is dedicated to enhancing disaster resistance and recovery capabilities as well as improving emergency response capabilities. So that systems, communities, or societies exposed to hazards can resist and absorb them by protecting and restoring important basic structures and functions effectively in time.
Emergency management serves as an important aspect of Safety and resilience, involving four stages: Planning and Mitigation, Preparedness, Response and Recovery. Geospatial applications (including GIS) have been extensively used in each stage of emergency management. Decision-makers can utilize the geospatial information to develop planning and mitigation strategies. GIS models and simulation capabilities are used to exercise response and recovery plans during non-disaster times. They help the decision-makers understand near real-time possibilities during an event. Once a disaster occurs, GIS will take effect in real-time response and recovery activities. For example, while global communities are trying to respond to the COVID-19 pandemic, GIS tools are widely used by health departments, safety and emergency management authorities and wider professionals around the world for gathering and analyzing data to support informed decisions, greatly enhancing safety and resilience in an anthropogenic incident or a natural disaster.
GIS provides reliable support for spatial analysis and decision-making in safety and resilience. However, the incorporation of spatial dimension or spatio-temporal dimension adds to the difficulties of the analysis. How to integrate data and models with spatial structures, such as integrating the GIS data layers and dangerous chemical diffusion data, appears as a big issue faced by safety and resilience work. Furthermore, safety and resilience require abilities to make quick responses to real-time situations. To meet the requirement, it is challenging and promising to apply lots of new geospatial technologies to support the quick response and recovery and the integration of location-based wireless information streams. With the advances in GIS technologies, the improvement of safety and resilience research becomes possible.
The purpose is to provide a forum for researchers and practitioners to exchange ideas and progress in related areas and bring together researchers and practitioners in massive spatio-temporal data management, spatial database, spatial data analysis, spatial data visualization, data integration, model integration, cloud computing, parallel algorithms, internet of things, complex event detection, optimization theory, intelligent transportation systems and social networks to support better public policy through disaster detection, response and rescue.
List of Topics
The Workshop on Security Response using GIS 2023 welcomes papers that address fundamental research issues in this challenging area, with emphasis on GIS applications associated with safety and resilience. We also encourage papers to report on system level research related to new technologies in GIS, data integration, model integration, disaster detection, response and rescue. A number of invited papers will also be solicited.
Topics of interest include, but are not limited to:
- AI for Emergency Management
- AIGC for Emergency response plan making
- Blockchain Application for Emergency Management
- Crowd Sensing in Emergency Management
- Data integration in safety and resilience
- Decision support based on GIS for safety and resilience
- Event detection techniques based on GIS in safety and resilience
- Geospatial data mining applications in safety and resilience
- Investigation of close contacts with COVID-19
- Metaverse for Emergency Management
- Model integration in safety and resilience
- Opinion mining and sentiment analysis based on GIS for safety and resilience
- Prediction and decision based on GIS in safety and resilience
- Resource planning and scheduling based on GIS
- Spatial agent-based modeling for safety and resilience
- Spatiotemporal intelligence for spontaneous planning
- Statistical analysis on massive spatio-temporal data for safety and resilience
- Web of things based on GIS in safety and resilience
- Web spatial data analysis in safety and resilience
All accepted paper will be seen in ACM SIGSPATIAL proceeding.
Submission Guidelines
We invite two types of submissions in the workshop:
- Long Paper: presenting completed work including a complete description of methods, results and validation (4,000-6,000 words references included, 6 pages at most).
- Short Paper: presenting work in earlier stages, outlining and discussing concepts and methods and presenting first results (2,000-3,500 words references included, 4 pages at most).
Manuscripts should be submitted in PDF format according to the ACM camera-ready templates available at http://www.acm.org/publications/proceedings-template.
Papers must be electronically submitted at the following address: https://easychair.org/conferences/?conf=emgis2023.
Important Dates
We make the final workshop schedule after communication with the ACM SIGSPATIAL 2023 main conference committee. This is the suggested schedule:
- Full paper due: September 15, 2023
- Author notification: September 28, 2023
- Camera-Ready deadline: October 7, 2023
Participation and Selection
Every paper will be reviewed by at least 3 PC members, and the papers will be selected according to review results. For each accepted paper, at least one of the authors should register and participate in the workshop in order to have the paper included in the workshop proceedings.
All accepted papers will be embodied in ACM SIGSPATIAL proceeding. The selected papers will be recommended to the SI of Journal of Safety Science and Resilience (https://www.sciencedirect.com/journal/journal-of-safety-science-and-resilience).
Committees
General Chairs
- Yan Huang, University of North Texas, USA, huangyan@unt.edu
- Jean-Claude Thill, University of North Carolina at Charlotte, USA, Jean-Claude.Thill@uncc.edu
- Hui Zhang, Tsinghua University, China, zhhui@mail.tsinghua.edu.cn
Co-Chairs
- Danhuai Guo, College of Information Science and Technology, Beijing University of Chemical Technology, guodanhuai@gmail.com
- Yi Liu, Institute of Public Safety Research, Tsinghua University, liuyi@tsinghua.edu.cn
- Wei Xu, School of Information, Renmin University of China, weixu@ruc.edu.cn
- Bin Chen, College of System Engineering, National University of Defense Technology, nudtcb9372@gmail.com
Program Committees
- Bin Chen, National University of Defense Technology of China, China
- Rick Church, UC Santa Barbara, USA
- Tom Cova, University of Utah, USA
- Susan Cutter, University of South Carolina, USA
- Zhiming Ding, Institute of Software, Chinese Academy of Sciences, China
- Jianping Fang, University of North Carolina at Charlotte, USA
- Yong Ge, University of North Carolina at Charlotte, USA
- Danhuai Guo, Beijing University of Chemical Technology, China
- Jeng-Neng Hwang, University of Washington, USA
- Foluso Ladeinde, SUNU Korea
- Yi Liu, Tsinghua University, China
- Jianyu Liang, Worcester Polytechnic Institute, USA
- Feng Lu, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences
- Ricardo J. Soares Magalhaes, University of Queensland, Australia
- Alan Murray, Drexel University, USA
- Yasuhide Okuyama, University of Kitakyushu, Japan
- Xiaogang Qiu, National University of Defense Technology, China
- Wei Xu, Renmin University of China, China
- Ran Tao, University of South Florida, USA
- Chaowei Phil Yang, George Mason University, USA
- Wenwu Yin, China CDC, China
- Dajun Zeng, Institute of Automation, Chinese Academy of Sciences