CIVIC-PG Track B: Bridging the Gap between Essential Emergency Resources and Services and the Deaf and Hard of Hearing Community in Monroe County NY: A Geospatial-Visual Approach

CIVIC-PG 轨道 B：弥合基本应急资源和服务与纽约州门罗县聋哑和听力障碍社区之间的差距：地理空间视觉方法

• 批准号: 2228522
• 负责人: Brian Tomaszewski
• 金额: $ 5万
• 依托单位: Rochester Institute of Tech
• 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: 2022-10-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228522&HistoricalAwards=false
• 关键词: CIVIC; PG; Track; Bridging; Gap

This Civic Innovation Challenge (CIVIC) project is a vision to identify and bridge specific gaps in essential emergency resources and services for the Deaf and Hard-of-Hearing (DHH) community in Monroe County, New York. Situated within Monroe County, Rochester New York is home to the largest per capita population of DHH people in the US. Stage 1 pilot project activities will be undertaken between three partners - (1) the Rochester Institute of Technology and the National Technical Institute of the Deaf, (2) the Monroe County Office of Emergency Management, and (3) the Rochester Recreation Club for Deaf. The project represents a unique coupling of academic research with the DHH community and emergency management. Project goals include identifying DHH community emergency service gaps, creating and evaluating DHH emergency communication tools, identifying educational pathways for incorporation of knowledge about the DHH into emergency management and geospatial technology practice, and identifying pathways for the DHH to become part of the emergency management STEM workforce and volunteer efforts. To the best knowledge, this would be the first NSF research effort to directly address the topic of bridging the gap between emergency services and DHH communities. Results will be generalizable to other community contexts with special needs populations beyond Monroe County NY for broader project national impact and legacy.Issues related to the DHH and emergency management cycle have received little attention from emergency management researchers and discussion in the academic literature. Project research questions designed to scale from a planning project to a Stage 2 rapid deployment project are: R1: What are the spatial relationships between the DHH community and hazards that may reveal specific gaps in emergency services for the DHH?; R2: What are the messaging and communication needs of the DHH community during all phases of the emergency management cycle? R3: What pedagogical practice is needed for education and workforce development of emergency management practitioners on the needs of the DHH community during all phases of the emergency management cycle? Methods used include (R1) Geographic Information Systems (GIS) machine learning to compare DHH populations with hazards for event prediction, decision making, and targeted messaging, (R2) 3D modeling to simulate how signage can be used in time-sensitive emergency situations where the DHH cannot hear warnings and user-centered design with the DHH community on graphical emergency communication devices, and (R3) the organizational approach of the incident command system (ICS) to investigate the relationship between ICS operation and DHH populations.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.

这项公民创新挑战（CIVIC）项目是一个愿景，可以在纽约梦露县的聋人和听力障碍（DHH）社区中识别和弥合特定差距。纽约罗切斯特（Rochester New York）位于门罗县（Monroe County）内，是美国DHH人民最大的人口。第1阶段的试点项目活动将在三个合作伙伴之间进行 - （1）罗切斯特理工学院和聋人国家技术研究所，（2）门罗县应急管理办公室，以及（3）罗切斯特聋人聋人俱乐部。该项目代表了学术研究与DHH社区和应急管理的独特耦合。项目目标包括确定DHH社区紧急服务差距，创建和评估DHH紧急交流工具，确定将有关DHH的知识纳入紧急管理和地理空间技术实践的教育途径，以及确定DHH成为紧急管理STEM STEM劳动力和志愿者努力的一部分。据最受欢迎的知识，这将是NSF研究的第一个直接解决紧急服务与DHH社区之间差距的主题。结果可以推广到纽约州门罗县以外的其他社区环境，以实现更广泛的项目影响国家的影响力和遗产。与DHH和紧急管理周期有关的发行很少受到紧急事务管理研究人员的关注和学术文献中的讨论。旨在从规划项目扩展到第2阶段快速部署项目的项目研究问题是：R1：DHH社区与可能揭示DHH紧急服务特定差距的危害之间的空间关系是什么？ R2：在紧急管理周期的所有阶段，DHH社区的消息传递和沟通需求是什么？ R3：在紧急管理周期的所有阶段，应急管理从业人员的教育和劳动力发展需要什么教育实践？所使用的方法包括（R1）地理信息系统（GIS）机器学习，以将DHH人群与事件预测，决策和目标消息传递的危险进行比较，（R2）3D建模，以模拟在时间敏感的紧急情况下如何使用标牌，以在DHH中无法与DHH无人机和用户以用户为中心设计的dhh dhh dhh dhh的命令（dhh）的命令（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（方法）（R3调查ICS运营与DHH人群之间的关系。该奖项反映了NSF的法定任务，并被认为是使用基金会的知识分子优点和更广泛影响的评论标准来评估值得支持的。