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SAVI: EAGER: for Global Research on Applying Information Technology to Support Effective Disaster Management (GRAIT-DM)

SAVI: EAGER: for Global Research on Applying Information Technology to Support Effective Disaster Management (GRAIT-DM)
SAVI:EAGER:应用信息技术支持有效灾害管理的全球研究 (GRAIT-DM)
批准号:
1250260
负责人:
Calton Pu
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2014-12-31

项目摘要

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中文摘要
翻译
灾害每年造成的损失估计达数十亿美元,并造成许多人丧生。灾害管理是一项具有挑战性的任务,因为环境和对人的影响似乎不可预测的变化。该奖项主要关注信息技术和大数据的应用,为应用信息技术支持有效灾害管理的全球研究(grit - dm)建立了一个“虚拟研究所”。它将促进研究合作和社区活动,目标是改善我们对灾害的准备、反应和恢复。这个虚拟学院由佐治亚理工学院和东京大学的合作伙伴领导,是美日合作的成果,在不久的将来将发展成为全球合作。信息技术已经改变了现代灾害管理,正如Twitter在东北地震期间是一个宝贵的信息来源所证明的那样。基于大数据的灾害管理研究方法既具有变革性,也具有挑战性,无论是在人类层面还是在社会层面。反映这一点的是,grit - dm项目支持从环境传感器和信息网络收集大量数据集,这些数据集由从事灾害管理各个方面工作的许多研究人员共享。这个虚拟研究所通过大数据生产者(如传感器网络研究人员)、大数据消费者(如灾害管理研究人员)和大数据管理者(如数据分析研究人员)的参与,促进了信息技术应用的全球研究。大数据生产者和消费者之间的联系由大数据生产者和消费者组成。具体活动包括在美国和日本举办社区建设讲习班,推广和出版研究报告,举办研究生暑期学校和初级研究人员交流等教育活动,以及建立一个门户网站,为社区使用的软件工具提供数据和支持。更广泛的影响包括有益地利用国际研究和基础设施投资,通过相互促进加强正在进行的项目,加快与灾害管理有关的创新速度,以及培养一支具有专业人才的劳动力队伍,使其能够在一个必须应对灾害的高度互联的新世界中表现出色。该奖项被指定为跨虚拟研究所(SAVI)科学奖,由NSF国际科学与工程办公室共同资助。
英文摘要
Disasters cause damages estimated in many billions of dollars and many lives lost every year. Disaster management is a challenging task due to the seemingly unpredictable alterations of the environment and impact on people. With the primary focus on the application of information technology and Big Data, this award establishes a "virtual institute" for Global Research on Applying Information Technology to Support Effective Disaster Management (GRAIT-DM). It will foster research collaborations and community activities, with the goal of improving our preparedness for, response to, and recovery from disasters. Led by partners at the Georgia Institute of Technology and the University of Tokyo, the virtual institute is a U.S.-Japanese cooperative effort that should grow to become a global collaboration in the near future.Information technology has transformed modern disaster management, as demonstrated by Twitter which was a valuable information source during the Tohoku Earthquake. A Big Data-based approach to disaster management research can be both transformative and challenging, at both human and social scales. Reflecting this, the GRAIT-DM project supports the collection of large data sets from environmental sensors and information networks shared by many researchers working on various aspects of disaster management. This virtual institute promotes global research on the application of information technology by engaging the big data producers (e.g., sensor networks researchers), big data consumers (e.g., disaster management researchers), and big data managers (e.g., data analytics researchers) who connect the big data producers to consumers. Concrete activities include community-building workshops in the U.S. and Japan, outreach and publication of research reports, educational activities such as summer schools for graduate students and junior researcher exchanges, and a web portal to provide access to data and support for software tools for community use. Broader impacts include beneficial leveraging of international research and infrastructure investments, enhancement of on-going projects through cross-fertilization, an accelerated rate of innovation relevant to disaster management, and the development of a work-force with specialized talent, capable of excelling in a new, highly interconnected world that must cope with disasters.This award has been designated as a Science Across Virtual Institutes (SAVI) award and is being co-funded by NSF's Office of International Science and Engineering.
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