This volume provides a theoretical background for studies on the labelling of disaster victims in disasters and emergencies and to protect the information revealed during the entire response process. It will be of interest to researchers working on disaster management and emergency management, especially in data and information management. In addition to storing and transmitting information to be obtained in all processes related to disaster victims, information processing, and artificial intelligence techniques that will assist in obtaining more information about disaster victims are also discussed here.

This volume provides a theoretical background for studies on the labelling of disaster victims in disasters and emergencies and to protect the information revealed during the entire response process. It will be of interest to researchers working on disaster management and emergency management, especially in data and information management. In addition to storing and transmitting information to be obtained in all processes related to disaster victims, information processing, and artificial intelligence techniques that will assist in obtaining more information about disaster victims are also discussed here.

This book provides the most current and comprehensive overview available today of the critical role of information systems in emergency response and preparedness. It includes contributions from leading scholars, practitioners, and industry researchers, and covers all phases of disaster management - mitigation, preparedness, response, and recovery. 'Foundational' chapters provide a design framework and review ethical issues. 'Context' chapters describe the characteristics of individuals and organizations in which EMIS are designed and studied. 'Case Study' chapters include systems for distributed microbiology laboratory diagnostics to detect possible epidemics or bioterrorism, humanitarian MIS, and response coordination systems. 'Systems Design and Technology' chapters cover simulation, geocollaborative systems, global disaster impact analysis, and environmental risk analysis. Throughout the book, the editors and contributors give special emphasis to the importance of assessing the practical usefulness of new information systems for supporting emergency preparedness and response, rather than drawing conclusions from a theoretical understanding of the potential benefits of new technologies.

This edited book entertains a multitude of perspectives on crisis information management systems (CIMS)-based disaster response and recovery management. The use of information technology in disaster management has become the central means for collecting, vetting, and distributing information. It also serves as the backbone for coordination and collaboration between response and recovery units as well as resource management tool. This edited volume aims at covering the whole range of application and uses of CIMS in disaster response and recovery. It showcases coordination and collaboration mechanisms between government agencies, the involvement of non-governmental entities, lessons learned as well as lessons not learned, approaches to disaster resiliency in society, community engagement in disaster/catastrophe responses and recovery, and, particularly, the role of CIMS in response and recovery. Serving as a platform for showcasing recent academic discoveries as well as a knowledge source for practitioners, this volume will be of interest to researchers and practitioners interested in disaster response, public administration, emergency management, and information systems.

There have been major advances in technologies to support crisis response in the last few years. However, many aspects related to the efficient collection and integration of geo-information, applied semantics and situation awareness for disaster management are still open. To advance the systems and make them intelligent, an extensive collaboration is required between emergency responders, disaster managers, system designers and researchers. To facilitate this process the Geo-information for Disaster Management (Gi4DM) conference has been organized since 2005. Gi4DM is coordinated by the Joint Board of Geospatial Information Societies (JB GIS) and the ad-hoc Committee on Risk and Disaster Management. This volume presents the results of the Gi4DM 2012 conference, held in Enschede, the Netherlands, on 13-15 December . It contains a selection of around 30 scientific and 25 best-practice peer-reviewed papers. The 2012 Gi4DM focuses on the intelligent use of geo-information, semantics and situation awareness.

This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field. Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community’s vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies. Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.