Randal A. Collins. (2023). Adaptation: A Proposal to Replace Recovery in the Phases of Emergency Management. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 130–137). Palmerston North, New Zealand: Massey Unversity.
Abstract: Mitigation, preparedness, response, and recovery are the four phases of emergency management that have arguably been unchanged since their inception nearly 43 years ago. This paper proposes to replace recovery with adaptation as the post incident phase of emergency management. Recovery focuses on a return to normal while adaptation better encompasses acknowledgement, healing, strengthening, and improving quality of life for a more resilient outcome. This paper reviews seminal work within emergency management and work pertaining to other types of adaptation to better comprehend adaptation as applied to emergency management.
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Alexander Staves, Harry Balderstone, Benjamin Green, Antonios Gouglidis, & David Hutchison. (2020). A Framework to Support ICS Cyber Incident Response and Recovery. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 638–651). Blacksburg, VA (USA): Virginia Tech.
Abstract: During the past decade there has been a steady increase in cyber attacks targeting Critical National Infrastructure. In order to better protect against an ever-expanding threat landscape, governments, standards bodies, and a plethora of industry experts have produced relevant guidance for operators in response to incidents. However, in a context where safety, reliability, and availability are key, combined with the industrial nature of operational systems, advice on the right practice remains a challenge. This is further compounded by the volume of available guidance, raising questions on where operators should start, which guidance set should be followed, and how confidence in the adopted approach can be established. In this paper, an analysis of existing guidance with a focus on cyber incident response and recovery is provided. From this, a work in progress framework is posited, to better support operators in the development of response and recovery operations.
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Briony Gray. (2020). Turning Words into Wisdom: A Framework for Using Post-Disaster Data for Community Resilience. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 356–365). Blacksburg, VA (USA): Virginia Tech.
Abstract: Small island developing states (SIDs) face a range of underlying issues that increase their vulnerability and risk to disaster. This commonly results in a lack of available, reliable and actionable data for both island nations as well as their insular communities. Simultaneously, issues such as climate change make their riskscapes unique and challenging to mitigate, forcing the need to find methods of improving community resiliency. This paper uses qualitative interviews conducted in the post-disaster phase of the 2017 Atlantic hurricane season to highlight the main issues experienced by communities. It then uses these, as well as literature guidance, to create a Lessons Learnt Framework (LLF) designed to challenge underlying assumptions, assess management efforts, discuss and record community experiences, and to feedback social capital into vulnerable communities to support future community resilience.
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Lise Ann St. Denis, & Amanda Hughes. (2018). Crisis Cleanup: Creating a Virtual Command Post to Support Relief Organizations on the Ground. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 935–941). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: We report on an initial assessment of a grassroots tool developed within the Volunteer Organizations Active in Disaster (VOAD) community to support the coordination of efforts between the diverse network of relief organizations on the ground following a disaster. We look first at the problems that led to its development and the volunteer principles embodied in the tool. We then present an overview of the primary workflows and processes used to capture and manage work orders within this system. We discuss some of the benefits of centralized coordination of work across this network, opportunities for future growth, and some of the barriers that are inhibiting further growth of this tool. Finally, we conclude with opportunities for future research.
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Melanie Eckle, Benjamin Herfort, Yingwei Yan, Chiao-Ling Kuo, & Alexander Zipf. (2017). Towards using Volunteered Geographic Information to monitor post-disaster recovery in tourist destinations. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 1008–1019). Albi, France: Iscram.
Abstract: The aftereffects of disaster events are significant in tourist destinations where they do not only lead to destruction and casualties, but also long-lasting economic harms. The public perception causes tourists to refrain from visiting these areas and recovery of the tourist industry, a major economic sector, to become challenging. To improve this situation, current information about the tourist and infrastructure recovery is crucial for a “rebranding”- information that is however time and cost-intensive in acquisition using traditional information sources. An alternative data source that has shown great potential for information gathering in other disaster management phases, which was less considered for disaster recovery purposes, is Volunteered Geographic Information (VGI). Therefore, this paper introduces a VGI-based methodology to address this task. Initial analyses conducted with Flickr data indicate a potential of VGI for recovery monitoring, whereas the analysis of OpenStreetMap data shows, that this form of VGI requires further quality assurance.
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