SCC-PG: Pilot Study and Workshop For Enhancing Rural-to-Urban Disaster Resilience by Integrating Social, Spatial and Digital Networks

SCC-PG：通过整合社会、空间和数字网络增强城乡抗灾能力的试点研究和研讨会

• 批准号: 1952206
• 负责人: Hyung Jin Kim
• 金额: $ 14.98万
• 依托单位: Kansas State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952206&HistoricalAwards=false
• 关键词: SCC; PG; Pilot; Study; Workshop

The social networks that comprise our local communities can be critical for helping individuals, households, and business respond, overcome, and recover from natural disasters such as floods. Traditionally these networks are based on direct and indirect face-to-face interpersonal relationships often clustered within geographically defined communities. However, in the digital era we have seen the rapid transformation of social networks challenging traditional notions of community and our understanding of the roles community-based social networks play in disaster situations. If digital technologies play a crucial role in facilitating a new wave of social networking, how might these networks augment and enhance more community based networks' response to disasters? Will people and households utilize their traditional community or geographical based vs digital/virtual networks in disaster contexts? To what extent do these networks overlap and reinforce each other? And, what kinds of infrastructure can, and should, be built to create an augmented social-spatial-online network system for disaster resilience? To study these and related questions this Smart and Connected Communities (SCC) project will conduct an interdisciplinary investigation into multi-layer social networking patterns for information dissemination in disaster situations overlaying social, geographical and digital networks and organize a multi-state community-engaged workshop that will help build a framework for evaluating the infrastructure needs and robustness of augmented social networking for digitally and geographically disconnected communities. The project will target rural-to-urban communities located within three Midwest US watershed regions, which have been frequently affected by natural disasters in Kansas, Missouri and Nebraska. The results of the pilot study will be shared, evaluated, and refined through a series of community interactions, including the community workshop and direct research engagements. Ultimately, this project will catalyze new research collaborations within the STEM work force in the under-served disaster-prone US communities that can help develop interdisciplinary technological innovations for building augmented social networking systems enhancing disaster response and resilience in the United States. The specific aims of the project are: (1) to study statistical models that capture the dissemination of information in multiple online social networks, and the roles of geographical connectedness of the communities during the information dissemination; (2) to learn the structure of traditional community-based social networks, along with statistical models for information propagation in these networks; and, (3) to investigate how different types of networks compose for different community-disaster related scenarios. Much of the current literature on disaster focuses on crowdsourced social media which shows a lack of localized, spatial and social variations of community structures. The investigators will develop robust insights into how a geographical approach contributes to online social network models. Our study will provide a new and interdisciplinary approach for connecting the current social network models to the traditional community configurations in different social and physical circumstances by multifaceted evaluation of modeling with hybrid statistical, spatial and temporal models. A key element in this project is to better understand the technological innovations necessary to enhance spatial and digital social network for disaster resilience. Ultimately, by addressing the current limitations of information propagation systems, this project will help increase the robustness of online and physical infrastructure systems for disaster resilience across a wide range of community structures.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.

组成我们当地社区的社交网络对于帮助个人，家庭和业务响应，克服和从洪水等自然灾害中恢复至关重要。传统上，这些网络基于直接和间接的面对面人际关系通常聚集在地理定义的社区中。但是，在数字时代，我们看到了社交网络的快速转变，挑战了社区的传统观念，以及我们对社区基于社区社交网络在灾难情况下发挥作用的理解。如果数字技术在促进新的社交网络浪潮中起着至关重要的作用，那么这些网络将如何增强和增强更多基于社区的网络对灾难的反应？人们和家庭是否会在灾难环境中利用其传统社区或基于地理的数字/虚拟网络？这些网络在多大程度上重叠并相互加强？而且，可以并且应该建立哪些基础架构来创建增强的社交空间在线网络系统，以实现灾难弥补？为了研究这些智能和互联社区（SCC）项目，将对多层社交网络模式进行跨学科调查，以覆盖社交，地理和数字网络的灾难情况，并组织多个社区的多个社区工程馆，以帮助评估互惠网络的框架，以构建偏远的社交网络，以构建更多的社交网络，并有助于不同社区。该项目将针对位于美国中西部三个流域地区的农村到城市社区，这些社区经常受到堪萨斯州，密苏里州和内布拉斯加州自然灾害的影响。试点研究的结果将通过一系列社区互动进行共享，评估和完善，包括社区研讨会和直接研究参与。最终，该项目将促进易于灾难的美国社区的STEM劳动力中的新研究合作，这些合作能够帮助开发跨学科的技术创新，以建立增强的社交网络系统，从而增强了美国的灾难响应和韧性。该项目的具体目的是：（1）研究统计模型，以捕获多个在线社交网络中信息的传播以及社区在信息传播过程中的地理联系的作用； （2）了解传统的基于社区的社交网络的结构，以及这些网络中信息传播的统计模型； （3）研究如何为不同的社区 - 迪沙斯特相关场景组成不同类型的网络。当前有关灾难的许多文献都集中在众包社交媒体上，这表明缺乏社区结构的本地化，空间和社会变化。研究人员将对地理方法如何促进在线社交网络模型有牢固的见解。我们的研究将提供一种新的跨学科方法，用于通过通过混合统计，空间和时间模型对模型进行多方面评估，将当前的社交网络模型与在不同社交和身体环境中的传统社区配置联系起来。该项目的关键要素是更好地了解增强空间和数字社交网络的灾难弹性所需的技术创新。最终，通过解决信息传播系统的当前局限性，该项目将有助于提高在广泛的社区结构中，在线和物理基础设施系统对灾难恢复能力的鲁棒性。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力和更广泛影响的评估来通过评估来支持的，这是值得的。