Collaborative Research: HNDS-I: Cyberinfrastructure for Human Dynamics and Resilience Research

灾害恢复力研究关注的是了解人们如何准备和处理因洪水、火灾、流行病和其他生存威胁等事件对社区造成的损害。风险、脆弱性和可持续性的概念非常重要，因为它们对个人的生活和福祉有影响。然而，推进基于科学的恢复力研究是困难的，因为用于衡量灾害恢复力的数据来自许多不同的来源，而且难以合并。即使对于现有的数据，也很少有工具可以分析它们，特别是对于没有受过广泛定量训练的研究人员。该项目通过开发一个名为人类动力学和弹性基础设施的国家网络基础设施来克服这些困难，该基础设施包含大规模数据和分析工具，以支持和推进人类动力学和弹性研究。利用基础设施对数据进行可视化和分析所获得的知识可以更好地为政策提供信息，以提高社区的复原力。该项目实现了四个目标。首先，它开发了四个新的数据库，其中包含来自全国各地的综合数据，包括社交媒体和手机移动数据。其次，构建可视化和分析工具，如地图、统计、动态建模和仿真，以促进探索性和深度研究。第三，它实施了一个培训和反馈模块，以帮助研究人员、从业者和公众参与探索和开展分析，从而更好地理解复原力。最后，它包括三个案例研究，展示了基础设施如何导致关于人类流动性和弹性之间关系的新知识。该项目由来自路易斯安那州立大学、南佛罗里达大学、德克萨斯农工大学和圣路易斯大学等四所大学的多学科研究人员合作完成。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Disaster resilience research is concerned with learning how people prepare for and deal with damage to their communities because of events such as floods, fires, pandemics, and other existential threats. The concepts of risk, vulnerability and sustainability are very important because of the impact they have on individuals’ lives and well-being. However, advancing science-based resilience research is hard because the data that are used to measure disaster resilience come from many different sources and are difficult to merge. Even for available data there are few tools available to analyze them, especially for researchers who do not have extensive quantitative training. This project overcomes these difficulties by developing a national cyberinfrastructure called the Human Dynamics and Resilience infrastructure that contains large-scale data and analytic tools to support and advance human dynamics and resilience research. Knowledge gained from visualizing and analyzing the data using the infrastructure can better inform policies to increase community resilience. The project accomplishes four objectives. First, it develops four new databases containing integrated data from around the nation, including social media and cell-phone mobility data. Second, it constructs visualization and analytical tools, such as maps, statistics, and dynamic modeling and simulations to facilitate both exploratory and in-depth research. Third, it implements a training and feedback module to help engage researchers, practitioners, and the public to explore and conduct analyses that should lead to a better understanding of resilience. Finally, it includes three case studies that demonstrate how the infrastructure can lead to new knowledge about the relationship between human mobility and resilience. The project is a collaboration of multidisciplinary investigators from four universities, including Louisiana State University, University of South Florida, Texas A&M University, and Saint Louis University.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.