Disasters are characterized by severe disruptions of the society’s functionality and adverse impacts on humans, the environment, and economy that cannot be coped with by society using its own resources. This work presents a decision support method that identifies appropriate measures for protecting the public in the course of a nuclear accident. The method particularly considers the issue of uncertainty in decision-making as well as the structured integration of experience and expert knowledge.

Decision-Making in Emergency Management examines decisions the authors have made over their careers based on their combined training, experience and instinct. Through a broad range of case studies, readers discover how experience impacts decision-making in conjunction with research and tools available. While the use of science, data and industry standards are always the best option when it comes to handling emergency situations, not all emergency situations fit one known solution. This book comprehensively explores the question "Is 'instinct' a viable factor when faced with a challenging situation and how close does it match up with the best science available?"

Enhancing Disaster Preparedness: From Humanitarian Architecture to Community Resilience relates to the fourth priority of the UNDRR’s Sendai Framework for Disaster Risk Reduction 2015–2030. Taking a wide understanding of disaster preparedness, the book deals with resilient responses and building capacities related to hazardous events, bringing some practical experiences and theoretical insights in this regard. Mostly based on field research conducted in the Global South by architects and other built-environment professionals, the book covers both post-disaster interventions (rebuilding and recovery) and development-related processes.Its three parts address the interlinkages between humanitarian design, community resilience, and inclusive governance, which are crucial for fostering effective disaster preparedness. Part I discusses the changing roles of architects and urban designers involved in the humanitarian sphere. Part II concentrates on resilience as a socioecological capacity to enhance preparedness within community-based spatial processes. Focused on global dynamics, Part III covers topics emphasizing the link between the management of crises, whether political or economic, at different levels of governance, and the vulnerability of communities and structures on the national and local scales. As such, the book approaches rising global priorities and brings timely lessons to support building a more equitable, safe, and resilient environment in a rapidly urbanized world. Explores Sendai’s fourth priority through a spatial lens Examines the role of humanitarian design in building resilience Critically revisits concepts such as incremental housing and building back better Provides examples of methodological tools for community engagement in resilience-building processes

We are witnessing an ever-increasing level and intensity of disasters from Ecuador to Ethiopia and beyond, devastating millions of ordinary lives and causing long-term misery for vulnerable populations. Bringing together 26 case studies from six continents, this volume provides a unique resource that discusses, in considerable depth, the multifaceted matrix of natural and human-made disasters. It examines their bearing on the loss of human and productive capital; the conduct of national policies and the setting of national development priorities; and on the nature of international aid and bilateral assistance strategies and programs of donor countries. In order to ensure the efficacy and appropriateness of their support for disaster survivors, international agencies, humanitarian and disaster relief organizations, scholars, non-governmental organizations, and members of the global emergency management community need to have insight into best practices and lessons learned from various disasters across national and cultural boundaries. The evidence obtained from the numerous case studies in this volume serves to build a worldwide community that is better informed about the cultural and traditional contexts of such disasters and better enabled to prepare for, respond to, and finally rebuild sustainable communities after disasters in different environments. The main themes of the case studies include: • the need for community planning and emergency management to unite in order to achieve the mutual aim of creating a sustainable disaster-resilient community, coupled with the necessity to enact and implement appropriate laws, policies, and development regulations for disaster risk reduction; • the need to develop a clear set of urban planning and urban design principles for improving the built environment’s capacities for disaster risk management through the integration of disaster risk reduction education into the curricula of colleges and universities; • the need to engage the whole community to build inclusive governance structures as prerequisites for addressing climate change vulnerability and fostering resilience and sustainability. Furthermore, the case studies explore the need to link the existence and value of scientific knowledge accumulated in various countries with decision-making in disaster risk management; and the relevance and transferability from one cultural context to another of the lessons learned in building institutional frameworks for whole community partnerships.

Artificial intelligence has been one of the fastest-growing technologies in recent years. The market growth is mainly driven by factors such as the increasing adoption of cloud-based applications and services, growing big data, and increasing demand for intelligent virtual assistants. Various end-use industries have also employed artificial intelligence such as retail and business analysis that has also boosted the demand in this market. The major restraint for the market is the limited number of artificial intelligence technology experts. The Book Series on 'Advances in Artificial Intelligence: Reviews' has been launched with the aim to fill-in this gap. The book contains 11 chapters on many different timely topics related to artificial intelligence and its applications. It is written by 21 contributors from academia and industry from 10 countries: Algeria, Germany, India, Iran, Israel, Russia, Slovenia, South Africa, Tunisia and USA.

The field of Information Systems has been shifting from an ‘immersion view’, which relies on the immersion of information technology (IT) as part of the business environment, to a ‘fusion view’ in which IT is fused within the business environment, forming a unified fabric that integrates work and personal life, as well as personal and public information. In the context of this fusion view, decision support systems should achieve a total alignment with the context and the personal preferences of users. The advantage of such a view is an opportunity of seamless integration between enterprise environments and decision support system components. Thus, researchers and practitioners have to address the challenges of dealing with this shift in viewpoint and its consequences for decision making and decision support systems theories and applications. This book presents the latest innovations and advances in decision support systems with a special focus on the fusion view. These achievements will be of interest to all those involved and interested in decision making practice and research, as well as, more generally, in the fusion view of modern information systems. The book covers a wide range of topical themes including a fusion view of business intelligence and data warehousing, applications of multi-criteria decision analysis, intelligent models and technologies for decision making, knowledge management, decision support approaches and models for emergency management, and medical and other specific domains.