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SGER: Collaborative Research: Mapping and Analyzing Emergent Multiorganizational networks in the Hurricane Katrina Responsee

SGER: Collaborative Research: Mapping and Analyzing Emergent Multiorganizational networks in the Hurricane Katrina Responsee
SGER:协作研究:绘制和分析卡特里娜飓风响应中的新兴多组织网络
批准号:
0555115
负责人:
Noshir Contractor
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-02-15 至 2007-07-31

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中文摘要
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英文摘要
When Hurricane Katrina slammed the Gulf coast, many organizations and individuals acted to try to respond to the needs of the thousands of people affected and to restore order in the chaotic aftermath of the storm. As is typical of disaster-response scenarios, these efforts involved multiple organizations with different areas of focus, making coordination of activities essential in order to avoid fragmentation, gaps in service, and wasteful duplication of services. This coordination is achieved largely through interorganizational networks, which serve as conduits for directives, information, and resources. The unfolding of these networks over time is a critical element of the response process, and the networks provide insight into the nature of interorganizational coordination during disasters. This project seeks to advance our understanding of interorganizational coordination in disaster response by analyzing the emergent multi-organization networks (EMONs) involved in the response to Hurricane Katrina and by exploring the potential for real-time intervention in such EMONs. Using novel computational and statistical methods, the research will capture, validate, and integrate data from news reports, official documents, and other information sources (such as blogs) to produce estimates of interorganizational interaction over time. The data produced by this research will be a key resource for social scientists, disaster researchers, information technologists, and policy analysts studying problems related to the Katrina response, and the findings, tools and methodologies derived from the research will be generalizable to a wide range of disaster-response situations.
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