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: $ 30万
• 依托单位: Georgia Tech Research Corporation
• 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
• 起止时间: 2012-09-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1250260&HistoricalAwards=false
• 关键词: SAVI; EAGER; Global; Research; Applying

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.

灾害每年造成的损失估计达数十亿美元，许多人丧生。 灾害管理是一项具有挑战性的任务，因为环境的变化和对人们的影响似乎是不可预测的。 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（GRAIT-DM）建立了一个“虚拟研究所”。 它将促进研究合作和社群活动，目的是改善我们的备灾、救灾和灾后恢复。由格鲁吉亚理工学院和东京大学的合作伙伴领导，虚拟学院是一个美国-在不久的将来，日本的合作努力应该发展成为全球合作。信息技术已经改变了现代灾害管理，在东北地震期间，Twitter是一个宝贵的信息来源。基于大数据的灾害管理研究方法在人类和社会层面都具有变革性和挑战性。为了反映这一点，GRAIT-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。该虚拟研究所通过与大数据生产者（例如，传感器网络研究者），大数据消费者（例如，灾害管理研究人员），以及大数据管理人员（例如，数据分析研究人员），他们将大数据生产者与消费者联系起来。具体活动包括在美国和日本举办社区建设讲习班、研究报告的推广和出版、研究生暑期学校和初级研究人员交流等教育活动，以及为社区使用的软件工具提供数据访问和支持的门户网站。 更广泛的影响包括有利地利用国际研究和基础设施投资，通过交叉施肥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工作队伍，能够在新的，该奖项已被指定为跨虚拟研究所科学奖（SAVI），并正在与由NSF国际科学与工程办公室资助。