Web-Based Interactive Technologies and the Response to Warnings for Extreme Events

基于网络的交互技术和对极端事件警告的响应

• 批准号: 1162409
• 负责人: William Wallace
• 金额: $ 9.97万
• 依托单位: Rensselaer Polytechnic Institute
• 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: 2012-05-15 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1162409&HistoricalAwards=false
• 关键词: Web; Based; Interactive; Technologies; Response

The project is investigating the diffusion of emergency relevant actionable information, such as warnings, through social media. Specifically, the research will assess warning models from social sciences in the context of social media, determine the contribution of social media to warnings of extreme events, and develop an algorithmic approach for processing voluminous amount of social media data in order to extract relevant and actionable information. The research combines on site interviews of emergency management personnel with processing and analyzing social media data. The algorithmic approach incorporates various data processing techniques with classic social network analysis methods. Additionally, a content analysis is used to evaluate the information hidden in social media data. The specific event that serves as an organizing focus of the research is a magnitude 9.0 earthquake and the resulting tsunami in Sendai, Japan.The results of this research will enrich our understanding of the role of social media in the communication of warnings during extreme events. Additionally, this effort will provide suggestions on ways to incorporate social media in emergency management. Emergency managers will have a faster and more effective means to reach the public with emergency information. Moreover, this research offers an opportunity for new members of the research community, such as graduate student researchers from Rensselaer Polytechnic Institute and first generation undergraduate research assistants from Le Moyne College, to participate in a project whose results will offer recommendations for improving emergency management, and most importantly, provide insights for practice that can save lives.

该项目正在调查通过社交媒体传播紧急相关可采取行动的信息，如警告。具体地说，这项研究将在社交媒体的背景下评估社会科学的警告模型，确定社交媒体对极端事件警报的贡献，并开发一种处理海量社交媒体数据的算法方法，以提取相关和可操作的信息。这项研究结合了对应急管理人员的现场访谈和对社交媒体数据的处理和分析。该算法方法将各种数据处理技术与经典的社会网络分析方法相结合。此外，还使用内容分析来评估社交媒体数据中隐藏的信息。作为研究组织重点的具体事件是日本仙台发生的里氏9.0级地震及其引发的海啸。这项研究的结果将丰富我们对社交媒体在极端事件中传播警报的作用的理解。此外，这项努力将就如何将社交媒体纳入应急管理提供建议。应急管理者将拥有更快、更有效的手段，将应急信息传递给公众。此外，这项研究为研究界的新成员，如伦斯勒理工学院的研究生研究员和勒莫因学院的第一代本科生研究助理提供了参与该项目的机会，该项目的结果将为改进应急管理提供建议，最重要的是，为可以拯救生命的实践提供见解。