Special Issue on Emergency Management
Publication: July/August 2013
Submissions due for review: CLOSED
Emergency management is a critical function of governments and societies. Emergency-management research aims to develop frameworks, tools, systems, and policies to support organizations and people dealing with natural and manmade disastrous events of unexpected nature. Both emergency-management practice and research have gone through major changes in the recent decade, largely due to technological advances in sensor, networking, and communications technologies. There is no doubt that emergency management has entered a new age with significant opportunities and challenges.
For example, social media are being used as a major tool to disseminate emergency information and as a collaboration platform. Advances in sensor networks, GIS, and collaboration technologies have significantly expanded what the emergency-management decision-making platforms can do. Models of emergent events and environments are now much more refined and adaptive than before and increasingly rely on "big data." At the same time, the Internet itself has become a source and a platform that routinely cultivates, triggers, and accelerates emergent events, posing many new research questions and practical challenges. Also, many major technical challenges remain to be tackled, spanning across the spectrum of emergency management, from data fusion and semantic understanding of data to HCI, group behavior and dynamics, and scenario-based adaptive decision-making. AI research frameworks and methods have been successfully applied to meet some of these challenges and are expected to continue to play a major role in emergency-response research and practice in the years to come.
This special issue seeks innovative contributions to emergency management. We expect the contributions to show direct relevance to at least one subfield of AI, and we strongly encourage multidisciplinary research presenting substantive findings with real-world implications. This special issue aims to publish a collection of high-quality research articles to provide a synthesized view of the current state of the art, and promote cross-cutting community-building.
Possible topics include but are not limited to the following:
- Emergency-management-related data management and informatics: novel data sources, emergency-management-related "big data" analytics and visualization, text and Web mining, social media analytics, real-time data stream fusion, data interoperability, semantic computing, situational awareness, information sharing in response networks
- Modeling of emergent events, environments, and actors: complex network-based empirical findings and analysis, agent and artificial society-based models, event evolution models, event impact analysis; coupling and transitions between subevents, multiresolution environment modeling and programming support, risk and vulnerability assessments, group behavior in response to emergency, interaction between online information flow and physical world actions, modeling and simulation to deal with uncertainty
- Surveillance, early warning, and emergency-response-operations decision-making: surveillance algorithms and performance evaluation; social media-based early warning systems; spatial-temporal-network anomaly detection and trend analysis; social intelligence and crowdsourcing for emergency response; multiobjective resource allocation; multirobot search and rescue; information-rich and interactive environments for group decision-making; policy and strategy development; process coordination across different levels of government agencies, private sector, and nongovernmental organizations; infrastructure (including supply chain) resilience
- Case studies and emergency response system evaluation
For more information, contact the guest editors:
- Xiaogang Qiu, National Univ. of Defense Technology, China
- Sharad Mehrotra, University of California, Irvine, USA
- Zhidong Cao, Chinese Academy of Sciences, China
- Austin Tate, University of Edinburgh, UK
Submissions should be 3,000 to 5,400 words (counting a standard figure or table as 200 words) and should follow IEEE Intelligent Systems style and presentation guidelines. References should be limited to 10 citations. The manuscripts cannot have been published or be currently submitted for publication elsewhere.
We strongly encourage submissions that include audio, video, and community content, which will be featured on the IEEE Computer Society website along with the accepted papers.
For general author guidelines: www.computer.org/intelligent/author
For submission details: email@example.com
To submit an article: https://mc.manuscriptcentral.com/is-cs (log in, then select Special Issue on Emergency Management)