CAREER: Risk-Sharing Communication Networks for Compound Disasters.
CAREER: Risk-Sharing Communication Networks for Compound Disasters.
批准号:
2339100
负责人:
Arif Mohaimin Sadri
金额:
$59.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2024
资助国家:
美国
项目状态:
未结题
起止时间:
2024-04-01 至 2029-03-31
中文摘要
社区分享灾害风险信息的方式不同,可能导致生存资源分配不均,对谁负责的困惑,以及无法建立信任的沟通。了解人们在社区中的联系方式可以揭示谁无法获得资源,谁发挥关键作用,以及灾害期间风险和资源的信息如何传播。该项目引入了风险共享的新概念,以解决灾害研究中的这些沟通问题,并为恢复力提供补充途径。该项目结合定性和定量方法,将风险分担决策的新因素和未充分研究的因素纳入其中,得出并验证了对灾害时期风险沟通的Commons框架的基本理解。该项目提供灾害风险管理方面的教育和培训活动,并让利益攸关方和社区志愿者参与进来,以便在灾害引发的混乱环境中更好地进行自我组织和决策。从该项目中获得的可操作知识适用于不同形式和组合的灾害,为政策提供信息,以提高易发灾害社区的备灾、响应和恢复工作的有效性。这个学院早期职业发展(Career)项目调查了风险共享,探索人们和社区在面临灾难时如何处理收集和共享关键信息和资源的固有复杂性。本项目(a)建立灾害风险传播中地方社会网络和社会媒体网络之间的关系;(b)确定人们如何使用各种信息源,以及社会网络如何在灾害发生前后权衡风险分担决策;(c)进行归纳民族志研究,然后进行家庭网络调查和决策实验,将风险分担决策的新因素纳入定量数据和建模计划,从而可以在规模和地点方面验证推论;(d)利用先进的网络科学和数据驱动的方法,捕捉网络构成的可变性,以及风险沟通中信任形成和信息级联的时空动态。该项目的综合研究、教育和社区参与框架的研究结果可以为决策者提供灾害管理政策干预措施的信息,以集体即兴发挥并确定恢复力的途径。该项目由人类环境和地理科学(HEGS)、人类网络和数据科学(HNDS)以及促进竞争研究的既定计划(EPSCoR)共同资助。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。
英文摘要
Communities share information about disaster risks differently, likely resulting in uneven distributions of survival resources, confusion over who is responsible, and communication that fails to foster trust. Understanding how people are connected in a community can reveal who lacks access to resources, who plays a key role, and how information about risks and resources can spread during disasters. This project introduces a new concept, the Risk-Sharing Commons, to address these communication issues in disaster research and provide complementary pathways to resilience. Combining qualitative and quantitative methods to incorporate new and understudied factors of risk-sharing decisions, this project derives and validates a fundamental understanding of the Commons framework for risk communication in times of disasters. The project offers educational and training activities in disaster risk management and engages stakeholders and community volunteers for better self-organization and decision-making in disaster-induced chaotic environments. The actionable knowledge derived from this project applies to different forms and combinations of disasters, informing policies to enhance the effectiveness of preparedness, response, and recovery efforts in disaster-prone communities.This Faculty Early Career Development (CAREER) project investigates the Risk-Sharing Commons, exploring how people and communities when facing disasters, navigate the inherent complexities of gathering and sharing critical information and resources. This project (a) establishes the relationships between local social and social media networks in disaster risk communication; (b) identifies how people use a diverse set of information sources and how social networks weigh into risk-sharing decisions before and following disaster events; (c) conducts inductive ethnographic research followed by a household network survey and decision-making experiments to incorporate new factors of risk-sharing decisions into a quantitative data and modeling plan that can make inferences validated in terms of scale and place; and (d) captures the variability in network composition and the spatiotemporal dynamics of trust formation and information cascades in risk communication using advanced network science and data-driven methods. Findings from the integrated research, education, and community engagement framework of this project can inform decision-makers on disaster management policy interventions to collectively improvise and identify pathways to resilience.This project is jointly funded by Human-Environment and Geographic Sciences (HEGS), Human Networks and Data Science (HNDS), and the Established Program to Stimulate Competitive Research (EPSCoR).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.
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批准号:2229439
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RAPID: #COVID-19: Understanding Community Response in the Emergence and Spread of Novel Coronavirus through Health Risk Communications in Socio-Technical Systems
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I-Corps: Comprehensive tool to capture spatio-temporal variations in social media health risk communication for COVID-19 and other health risks
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