Case Based Decision Support For Disaster Management
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Case-Based Decision Support for Disaster Management by Möhrle, Stella Pdf
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 by Jan Glarum,Carl Adrianopoli Pdf
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?" Includes case studies from natural and manmade disasters, providing readers with decision-making skills in various global settings Provides readers the opportunity to learn from someone else's decisions Inspires emergency response personnel to continuously pursue learning, question their strategies and apply changes as appropriate
Planning for Community-based Disaster Resilience Worldwide by Adenrele Awotona Pdf
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.
Case Studies in Disaster Response and Emergency Management by Nicolas A. Valcik,Paul E. Tracy Pdf
Each emergency comes with its own set of challenges, however, many emergencies of the past can be used as tools to evaluate the decisions made and apply them to similar situations. Designed to enable public officials to conduct this kind of evaluation, Case Studies in Disaster Response and Emergency Management details a selection of emergencies—more than 50—that actually occurred. The book demonstrates that often there is no wrong or right answer, just choices that will resolve a problem favorably or cause the situation to deteriorate. The book illustrates the application of public administration theories and practices to real-life disasters. Arranged chronologically, the case studies involve incidents from the U.S. and worldwide, with topics including natural disasters, industrial accidents, epidemics, and terrorist attacks. It includes a set of generic questions at different points in the case study to allow evaluation of which decisions were successful and why. The decision-making process described gives readers an applied venue to test theoretical emergency management techniques that should work in real-world situations. The book demonstrates with the perspective of 20/20 hindsight how preventive planning measures are best practiced. It provides practical advice and guidance for public officials during emergency situations.
Decision Support System for a Reactive Management of Disaster-caused Supply Chain Disturbances by Frank Schätter Pdf
This research contribution presents the Reactive Disaster and supply chain Risk decision Support System ReDRiSS which supports decision-makers of logistical disaster management in the immediate aftermath of a supply chain disturbance. ReDRiSS suggests a methodology which combines approaches from scenario techniques, operations research and decision theory. Two case studies are provided which focus on decision situations of humanitarian logistics and of business continuity management. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Advances in Artificial Intelligence: Reviews by Sergey Yurish Pdf
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.
Exploring Intelligent Decision Support Systems by Rafael Valencia-García,Mario Andrés Paredes-Valverde,María del Pilar Salas-Zárate,Giner Alor-Hernández Pdf
This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data, big data, and machine learning are being applied to provide integrated support for individuals and organizations to make more rational decisions. The book is organized into two parts. The first part covers decision support systems for industry, while the second part presents case studies related to clinical emergency management and pollution control.
Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering by Management Association, Information Resources Pdf
Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.
Decision Making in Emergency Management by Jan Glarum,Carl Adrianopoli Pdf
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?" Includes case studies from natural and manmade disasters, providing readers with decision-making skills in various global settings Provides readers the opportunity to learn from someone else’s decisions Inspires emergency response personnel to continuously pursue learning, question their strategies and apply changes as appropriate
Proceedings of the 3rd International Conference on Decision Support System Technology 2017 by Isabelle Linden,Bertrand Mareschal,Shaofeng Liu,Jason Papathanasiou,Christian Colot Pdf
This Proceedings presents the short papers, posters and abstracts of full papers accepted to the 3rd International Conference on Decision Support System Technology, ICDSST 2017, held in Namur, Belgium, during May 29th to 31st, 2017. This event had a main theme Data, Information and Knowledge Visualisation in Decision Making. This event is organized by the Euro Working Group on Decision Support Systems (EWG-DSS) in collaboration with the University of Namur Belgium, the EFFaTA Research Team of the University of Namur and the Université libre de Bruxelles, Belgium.
Case Studies in Disaster Response by Shirley Feldmann-Jensen,Steven J. Jensen,Jean Slick Pdf
Case Studies in Disaster Response, the latest release in the Disaster and Emergency Management: Case Studies in Adaptation and Innovation series, focuses on the key functions performed in the emergency response to a disaster, how these functions are coordinated, and typical challenges and issues that emerge. Cases address both hazard- and response-generated needs. Also explored are the needs generated by emergent threats (e.g., Ebola crisis), emergent technologies (e.g., social media), and emergent groups (e.g., social innovation teams) that set the stage for innovation and adaption. Presents in-depth cases studies in disaster response, one of the phases of disaster management Unites practice and research from multiple disciplines to highlight the complexity of disasters preparedness, including environmental and earth sciences, engineering, public health, geography, sociology, and anthropology, humanitarian aid, emergent threats, disaster response and resilience Examines policy and ethical dilemmas faced by decision-makers in disaster response situations
Annual Report 2019 of the Institute for Nuclear and Energy Technologies by Tromm, Walter Pdf
The annual report of the Institute for Nuclear and Energy Technologies of KIT summarizes its research activities and provides some highlights of each working group, like thermal-hydraulic analyses for fusion reactors, accident analyses for light water reactors, and research on innovative energy technologies: liquid metal technologies for energy conversion, hydrogen technologies and geothermal power plants. The institute has been engaged in education and training in energy technologies.
Fusion Methodologies in Crisis Management by Galina Rogova,Peter Scott Pdf
The book emphasizes a contemporary view on the role of higher level fusion in designing crisis management systems, and provide the formal foundations, architecture and implementation strategies required for building dynamic current and future situational pictures, challenges of, and the state of the art computational approaches to designing such processes. This book integrates recent advances in decision theory with those in fusion methodology to define an end-to-end framework for decision support in crisis management. The text discusses modern fusion and decision support methods for dealing with heterogeneous and often unreliable, low fidelity, contradictory, and redundant data and information, as well as rare, unknown, unconventional or even unimaginable critical situations. Also the book examines the role of context in situation management, cognitive aspects of decision making and situation management, approaches to domain representation, visualization, as well as the role and exploitation of the social media. The editors include examples and case studies from the field of disaster management.
