BDD: Data-Driven Critical Information Exchange in Disaster Affected Public-Private Networks

BDD：受灾公私网络中数据驱动的关键信息交换

• 批准号: 1461926
• 负责人: Shu-Ching Chen
• 金额: $ 30万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1461926&HistoricalAwards=false
• 关键词: BDD; Data; Driven; Critical; Information

The disruption of business caused by a wide-spread disaster such as a hurricane or an earthquake has a huge impact on the economy. A key reason that businesses fail to operate after a disaster is the lack of information on the availability of power and supplies, the road conditions, and so on. While there is no shortage of disaster planning or recovery toolkits and disaster information or news portals, currently there are no effective solutions that will help businesses to revive the business ecosystem interrupted by the disaster.The goal of this project is to design and develop data-driven solutions to address critical information exchange needs in disaster affected public-private networks and to achieve intelligent (context-aware and user-specific) information delivery, analysis, sharing, and collaboration among both private and public sector participants in disaster management. The project is conducting research on: (1) design and develop effective information integration and summarization methods to help users improve situational awareness; (2) design and develop intelligent information delivery techniques to help users quickly identify the information they need; and (3) design and develop automatic techniques for dynamic community generation. These research components constitute a holistic effort to effectively organize, discover, search and disseminate real-time disaster information and create a collaborative platform for preparedness and recovery that helps disaster impacted communities to better understand what the current disaster situation is and how the community is recovering. The developed techniques are designed to be all-hazard capable so that they can be used in hurricane, earthquake, terrorism, or other unanticipated disaster events, and they can also be applied to other information management domains. The project fosters the international collaboration between the Florida International University (FIU) team and the Japan team in disaster management and its broader impact is also aligned with the national goal of broadening participation in education. FIU is number one in the nation in awarding bachelor's and master's degrees to Hispanic students and its history of involving the participation of underrepresented groups in research efforts will be leveraged during the course of this project.

飓风或地震等大范围灾害造成的商业中断对经济产生巨大影响。 企业在灾难发生后无法运营的一个关键原因是缺乏有关电力和供应、道路状况等的信息。虽然灾难规划或恢复工具包以及灾难信息或新闻门户并不短缺，目前还没有有效的解决方案，将帮助企业恢复被灾难中断的商业生态系统。本项目的目标是设计开发数据驱动的解决方案，以满足受灾公私网络的关键信息交换需求，并在灾害管理的私营和公共部门参与者之间实现智能（了解背景和针对用户的）信息交付、分析、共享和协作。该项目正在进行以下研究：（1）设计和开发有效的信息整合和摘要方法，以帮助用户提高态势感知;（2）设计和开发智能信息传递技术，以帮助用户快速识别他们所需的信息;（3）设计和开发动态社区生成的自动技术。这些研究组成部分构成了一个整体的努力，有效地组织，发现，搜索和传播实时灾害信息，并创建一个合作平台，为备灾和恢复，帮助受灾社区更好地了解当前的灾害情况和社区是如何恢复的。 所开发的技术被设计为具有所有危险能力，以便它们可以用于飓风，地震，恐怖主义或其他意外的灾害事件，并且它们也可以应用于其他信息管理领域。 该项目促进了佛罗里达国际大学（FIU）团队和日本团队在灾害管理方面的国际合作，其更广泛的影响也符合扩大教育参与的国家目标。FIU在向西班牙裔学生授予学士和硕士学位方面是全国第一，其参与代表性不足的群体参与研究工作的历史将在本项目过程中得到利用。