I-Corps: Comprehensive tool to capture spatio-temporal variations in social media health risk communication for COVID-19 and other health risks

I-Corps：捕捉社交媒体健康风险沟通中针对 COVID-19 和其他健康风险的时空变化的综合工具

• 批准号: 2222940
• 负责人: Arif Mohaimin Sadri
• 金额: $ 5万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2222940&HistoricalAwards=false
• 关键词: Corps; Comprehensive; tool; capture; spatio

The broader impact/commercial potential of this I-Corps project is the development of a software platform that may be integrated into crisis management systems such as public health (WHO, CDC), emergency management (FEMA), and transportation (DOT) agencies to facilitate the transmission of correct information and provide the option to notify social media providers of identified misinformation. It is becoming increasingly important for government agencies, policy makers, and emergency management officials to be capable of addressing major crisis scenarios under acute time and resource constraints. Using social media platforms more efficiently would be a critical step towards this vision. For example, such communications platforms could to be leveraged to better communicate the COVID-19 risk. The goal of this project is to understand and validate the need for this capability in civilian or emergency management agencies, and federal, state, or city level government agencies. The proposed technology also may be useful in other natural and man-made disaster contexts in which public health risks become major concerns.This I-Corps project is based on the development of a comprehensive tool to capture spatio-temporal variations in social media health risk communication (i.e., information or misinformation) at different scales. The project will also integrate data-driven methods for user-friendly predictive analytics and infographics to anticipate citizen needs and crisis responses. The proposed tool will be grounded on state-of-the-art network science, social science, and data science theories and concepts. Using the Application Programming Interface (API) of publicly available social media platforms such as Twitter, large-scale crisis communication data has been collected in the emergence and outbreak of the novel coronavirus. These data may serve as proof-of-concept for the ability to develop and operate publicly-available, novel social sharing platforms to automatically and passively detect and control information tipping points to facilitate better response in pandemics and other societal emergencies. As such, the proposed approach will provide holistic support to detect information overload, turnover, user reaction, and response in socio-technical systems during a major crisis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目的更广泛的影响/商业潜力是开发软件平台，该软件平台可能会集成到危机管理系统中，例如公共卫生（WHO，CDC），紧急情况管理（FEMA）和运输（DOT）机构，以促进正确信息的传播并提供通知确定的错误信息的选择。对于政府机构，政策制定者和应急管理官员来说，能够在急性时间和资源限制下解决重大危机方案变得越来越重要。更有效地使用社交媒体平台将是朝着这一愿景迈出的关键一步。 例如，可以利用这样的通信平台来更好地传达COVID-19风险。该项目的目的是了解和验证在平民或紧急管理机构以及联邦，州或城市级政府机构中对这种能力的需求。所提出的技术在其他自然和人造灾难的环境中也可能有用，在这种情况下，公共卫生风险成为主要问题。该I-Corps项目基于开发一种综合工具，以在社交媒体健康风险沟通中捕获时空变化（即信息或误解），以不同的范围内的规模。 该项目还将整合以用户友好的预测分析和信息图表的数据驱动方法，以预测公民需求和危机响应。提出的工具将基于最先进的网络科学，社会科学以及数据科学理论和概念。在新型冠状病毒的出现和爆发中，使用了公开可用的社交媒体平台（例如Twitter）的应用程序编程界面（API）。这些数据可以作为概念概念，以开发和运营公共可用的新型社交共享平台，以自动和被动地检测和控制信息倾斜点，以促进大流行和其他社会紧急情况的更好响应。因此，拟议的方法将提供全面的支持，以检测主要危机期间社会技术系统中信息超负荷，营业额，用户反应和反应。该奖项反映了NSF的法定任务，并被认为值得通过基金会的知识分子优点和更广泛的影响标准通过评估来进行评估。