84,504 research outputs found

    Space4Inspiration: survival lab: designing countermeasures for natural disasters.

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    The advances made for spaceflight have influenced almost every aspect of modern life on Earth through spin-off technologies. Looking at the Space environmental context and the crew dynamics we can gain insights and inspiration into how to manage stressful and unpredictable emergency situations. In this paper we enquire into ways that design can help generate countermeasures to enhance our resilience to terrestrial extremes and generate solutions for sustained survival to natural disasters. The extraordinary dynamics in urban populations means that growing numbers of people find themselves in an extreme environmental situation–floods, earthquakes, volcanic eruptions, tsunami, fire or hurricane. Design for Space and extreme environments provide the transformative lens for applying lessons learned from one extreme scenario to another. What if the design of an emergency habitation module could be transformed into a Survival Lab: a mobile training centre able to recreate analogue conditions determined in natural disasters and prepare people to respond actively

    Designing a solution to enable agency-academic scientific collaboration for disasters

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    © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ecology and Society 22 (2017): 18, doi:10.5751/ES-09246-220218.As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating nongovernmental scientific expertise into disaster decision making can improve the quality of the response, and is most effective if the integration occurs before, during, and after a crisis, not just during a crisis. However, collaboration between academic, government, and industry scientists, decision makers, and responders is frequently difficult because of cultural differences, misaligned incentives, time pressures, and legal constraints. Our study addressed this challenge by using the Deep Change Method, a design methodology developed by Stanford ChangeLabs, which combines human-centered design, systems analysis, and behavioral psychology. We investigated underlying needs and motivations of government agency staff and academic scientists, mapped the root causes underlying the relationship failures between these two communities based on their experiences, and identified leverage points for shifting deeply rooted perceptions that impede collaboration. We found that building trust and creating mutual value between multiple stakeholders before crises occur is likely to increase the effectiveness of problem solving. We propose a solution, the Science Action Network, which is designed to address barriers to scientific collaboration by providing new mechanisms to build and improve trust and communication between government administrators and scientists, industry representatives, and academic scientists. The Science Action Network has the potential to ensure cross-disaster preparedness and science-based decision making through novel partnerships and scientific coordination.The authors thank the David and Lucile Packard Foundation for a grant to undertake this project and enable participation of a wide range of participants and interviewees. We thank the Center for Ocean Solutions and ChangeLabs for their oversight and support

    Rapid onset natural disasters : The role of financing in effective risk management

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    The authors provide a conceptual framework for designing a comprehensive risk management strategy for rapid onset natural disasters at the country level, with a particular emphasis on the role of catastrophe loss funding. The authors discuss the key policy and technical issues involved in building financially sustainable catastrophe risk transfer and funding programs in disaster prone countries and their links to risk mitigation. They also deal with the cognitive and political economy issues that are likely to arise and ways to accommodate them.Payment Systems&Infrastructure,Insurance&Risk Mitigation,Environmental Economics&Policies,Banks&Banking Reform,Hazard Risk Management,Non Bank Financial Institutions,Insurance&Risk Mitigation,Banks&Banking Reform,Environmental Economics&Policies

    Vulnerability reduction of infrastructure reconstruction projects

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    Various infrastructure segments of numerous countries have been repeatedly subjected to natural and man-made disasters. The potential reason of damaging infrastructure facilities and their services is resultant disaster risks due to natural or man-made hazards connect with vulnerable infrastructure facilities and vulnerable communities. The simplest way to prevent or mitigate disaster losses is addressing vulnerabilities. The main study based on which this paper was compiled aimed at exploring and investigating the vulnerabilities of infrastructures and communities benefited from infrastructures and possible solutions to overcome them. This paper presents the literature review conducted on vulnerabilities of infrastructures and empirical evidence collated on best possible DRR strategies to overcome such vulnerabilities of infrastructures. The main study was conducted using case study strategy and the expert interviews. This paper is entirely based on the data collated from the expert interviews conducted in Sri Lanka and United Kingdom. The expert interviews discovered various DRR strategies to overcome the vulnerabilities of the infrastructure project

    Sampling and design challenges in studying the mental health consequences of disasters

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    Disasters are unpredictable and frequently lead to chaotic post-disaster situations, creating numerous methodologic challenges for the study of the mental health consequences of disasters. In this commentary, we expand on some of the issues addressed by Kessler and colleagues, largely focusing on the particular challenges of (a) defining, finding, and sampling populations of interest after disasters and (b) designing studies in ways that maximize the potential for valid inference. We discuss these challenges – drawing on specific examples – and suggest potential approaches to each that may be helpful as a guide for future work. We further suggest research directions that may be most helpful in moving the field forward. Copyright © 2008 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/61448/1/267_ftp.pd

    Disaster-Resilient Control Plane Design and Mapping in Software-Defined Networks

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    Communication networks, such as core optical networks, heavily depend on their physical infrastructure, and hence they are vulnerable to man-made disasters, such as Electromagnetic Pulse (EMP) or Weapons of Mass Destruction (WMD) attacks, as well as to natural disasters. Large-scale disasters may cause huge data loss and connectivity disruption in these networks. As our dependence on network services increases, the need for novel survivability methods to mitigate the effects of disasters on communication networks becomes a major concern. Software-Defined Networking (SDN), by centralizing control logic and separating it from physical equipment, facilitates network programmability and opens up new ways to design disaster-resilient networks. On the other hand, to fully exploit the potential of SDN, along with data-plane survivability, we also need to design the control plane to be resilient enough to survive network failures caused by disasters. Several distributed SDN controller architectures have been proposed to mitigate the risks of overload and failure, but they are optimized for limited faults without addressing the extent of large-scale disaster failures. For disaster resiliency of the control plane, we propose to design it as a virtual network, which can be solved using Virtual Network Mapping techniques. We select appropriate mapping of the controllers over the physical network such that the connectivity among the controllers (controller-to-controller) and between the switches to the controllers (switch-to-controllers) is not compromised by physical infrastructure failures caused by disasters. We formally model this disaster-aware control-plane design and mapping problem, and demonstrate a significant reduction in the disruption of controller-to-controller and switch-to-controller communication channels using our approach.Comment: 6 page
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