ERI: Advancing Spontaneous Volunteer Coordination and Guidance for Effective Disaster Response

ERI：推进自发志愿者协调和指导，以实现有效的灾难应对

• 批准号: 2346936
• 负责人: Da Hu
• 金额: $ 19.96万
• 依托单位: Kennesaw State University Research and Service Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-06-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346936&HistoricalAwards=false
• 关键词: ERI; Advancing; Spontaneous; Volunteer; Coordination

Disasters create chaotic and unpredictable environments where traditional response mechanisms could be easily overwhelmed. In the aftermath, communities frequently experience an influx of spontaneous volunteers, eager to contribute to relief efforts. The challenge, however, lies in ways in which their capabilities and services can be best harnessed. This Engineering Research Initiation (ERI) project supports the research on the use of natural language processing and artificial intelligence to analyze and interpret social media data for dynamic volunteer coordination. It also develops disaster response strategies with an innovative search and rescue knowledge graph, enriched by augmented reality for situational guidance. It aims to transform multi-source, unstructured datasets into actionable insights, thereby enhancing the efficiency and effectiveness of volunteer efforts and advancing intelligent disaster management solutions. The broader ambition is to cultivate a community ethos of preparedness, engagement, and resilience, empowering individuals to contribute meaningfully to disaster response and recovery. Planned research is founded on integrating natural language processing and spatiotemporal reasoning with social media analysis, alongside developing a search-and-rescue knowledge graph for enhanced situational guidance through augmented reality. These advanced tools and methodologies play a central role in harnessing vast, yet underutilized, reservoir of real-time data generated during disasters to inform and guide volunteer actions where they are most needed. The project intends to establish a dynamic system for volunteer coordination that is adaptive to the unfolding realities of disaster scenarios. Furthermore, by constructing a comprehensive knowledge graph that encapsulates the complex interplay of factors in search and rescue operations, the project attempts to offer situation-specific guidance through an interactive augmented reality interface, thereby enhancing training’s effectiveness and safety. Ultimately, the integration of these technologies is expected to result in a more agile, informed, and cohesive mobilization of volunteer resources.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.

灾难创造了混乱和不可预测的环境，在这种环境中，传统的响应机制很容易被不知所措。之后，社区经常经历赞助志愿者的影响，渴望为救济工作做出贡献。但是，挑战在于最好利用其能力和服务的方式。该工程研究启动（ERI）项目支持使用自然语言处理和人工智能来分析和解释社交媒体数据的动态志愿者协调的研究。它还通过创新的搜索和救援知识图制定了灾难响应策略，并由增强现实的情境指导丰富。它旨在将多源，非结构化的数据集转变为可行的见解，从而提高志愿者努力的效率和有效性，并推进智能灾难管理解决方案。更广泛的野心是培养一种准备，参与和韧性的社区精神，使个人有能力为灾难反应和康复做出有意义的贡献。计划的研究旨在将自然语言处理和空间时间推理与社交媒体分析相结合，并开发搜索和救援知识图，以通过增强现实来增强情境指导。这些高级工具和方法在利用灾难中生成的实时数据的庞大，但未充分利用的水库中起着核心作用，以告知和指导最需要的志愿行动。该项目旨在建立一个动态系统，以适应灾难场景的现实。此外，通过构建一个综合搜索和救援操作中因素复杂相互作用的全面知识图，该项目试图通过交互式增强现实界面来提供特定情况的指导，从而增强培训的有效性和安全性。最终，预计这些技术的整合将导致对志愿者资源的更敏捷，知情和凝聚力动员化。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得的支持。