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Record |
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Author  |
Briony Gray |
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Title |
Turning Words into Wisdom: A Framework for Using Post-Disaster Data for Community Resilience |
Type |
Conference Article |
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Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
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Volume |
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Issue |
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Pages |
356-365 |
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Keywords |
Resilience, Recovery, Framework, Small Island Developing States, Social Capital. |
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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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Address |
University of Southampton |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-27-34 |
ISBN |
2411-3420 |
Medium |
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Track |
Data and Resilience: Opportunities and Challenges |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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Notes |
Bjg1g11@soton.ac.uk |
Approved |
no |
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Call Number |
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Serial |
2235 |
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