SCC-CIVIC-FA Track B: CaReDeX: Enabling Disaster Resilience in Aging Communities via a Secure Data Exchange

SCC-CIVIC-FA 轨道 B：CaReDeX：通过安全数据交换实现老龄化社区的抗灾能力

• 批准号: 2133391
• 负责人: Nalini Venkatasubramanian
• 金额: $ 100万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2133391&HistoricalAwards=false
• 关键词: SCC; CIVIC; FA; Track; CaReDeX

Disasters disproportionately impact older adults who experience increased fatality rates; such individuals often live in age-friendly communities and senior health facilities (SHFs). During a crisis, older adults are often unable to shelter safely in place or self-evacuate due to a range of physical conditions (need for life-sustaining equipment, impaired mobility) and cognitive afflictions (e.g. dementia, Alzheimer’s). First responders assisting older adults could benefit from seamless, real-time access to critical life-saving information about the living facilities (e.g., floor plans, operational status, number of residents) and about individual residents (e.g., health conditions such as need for dialysis, oxygen, personal objects to reduce anxiety). Such information, siloed within organizational logs or held by caregivers, is inaccessible and/or unavailable at the time of response. This interdisciplinary project brings together IT, geriatrics and resilience experts with disaster-response agencies and SHF providers to create information preparedness and transform disaster resilience for older adults.The team will design, develop and deploy CareDEX, a novel community contributed data-exchange platform, that empowers SHFs to readily assimilate, ingest, store and exchange information, both apriori and in real-time, with response agencies to care for older adults in extreme events. The CareDEX information pipeline enables SHFs to capture individual information about changing health conditions and personalized needs and share them with responders to help improve response. Information co-produced with civic partners will identify and refine resident-specific data via tools for proactive collection/update. Given the sensitive nature of personal information, e.g., health-profiles, CareDEX will incorporate policy-based information sharing mechanisms that balance needs for individual privacy with authorized information release. CareDEX’s hybrid-cloud architecture seamlessly enables data to be securely stored on-premise (at SHF) and in the cloud for remote access by responders and temporary caregivers. Relocation of older adults requires regional information (e.g. road-conditions, facility status) - CareDEX will integrate GIS tools to provide first-responders with uptodate region-level situational awareness for dynamic decision-support. The prototype CareDEX platform will be co-developed with core civic partners, e.g. Front Porch (a nation-wide senior-care provider) and deployed at a SHF in Anaheim, CA. Collaborations with local response agencies (Los Angeles, Orange County, San Bernardino, San Diego) and national entities (FEMA, Red Cross, NFPA/FPRF) will mesh needs of emergency responders with caregivers. CareDEX will be evaluated using diverse scenarios - a wildfire event triggering relocation, wildfires coupled with a pandemic, and rapid onset earthquake events with small warning times and increased uncertainty.The CIVIC Innovation Challenge is a collaboration with Department of Energy, Department of Homeland Security Science and Technology Directorate, Federal Emergency Management Agency (FEMA), and the National Science FoundationThis 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.

灾害对经历死亡率上升的老年人的影响不成比例；这些人通常生活在对年龄友好的社区和高级卫生设施(SHF)。在危机期间，由于一系列身体状况(需要维持生命的设备、行动不便)和认知疾病(如痴呆症、阿尔茨海默氏症)，老年人往往无法在原地安全避难或自我疏散。帮助老年人的急救员可以从无缝、实时地获得关于生活设施(例如，平面图、运行状态、居民人数)和关于个人居民(例如，需要透析、氧气、减少焦虑的个人物品等)的关键救生信息中受益。此类信息储存在组织日志中或由照顾者持有，在响应时无法访问和/或不可用。这个跨学科的项目将IT、老年病学和复原力专家与灾难响应机构和SHF提供商结合在一起，为老年人创建信息准备和转换灾难容灾能力。该团队将设计、开发和部署CareDEX，这是一个由社区贡献的新型数据交换平台，使SHF能够与响应机构轻松地吸收、摄取、存储和交换信息，包括先验和实时的信息，以应对极端事件中的老年人。CareDEX信息管道使SHF能够捕获有关不断变化的健康状况和个性化需求的个人信息，并与响应者共享这些信息，以帮助改进响应。与民间伙伴共同编制的信息将通过主动收集/更新的工具确定和完善针对居民的数据。鉴于个人信息的敏感性质，例如健康档案，CareDEX将纳入基于策略的信息共享机制，以平衡个人隐私需求和授权的信息发布。CareDEX的混合云架构使数据能够安全地存储在本地(在SHF)和云中，供响应人员和临时护理人员远程访问。老年人的重新安置需要地区性信息(例如路况、设施状态)--CareDEX将整合地理信息系统工具，为急救人员提供最新的地区级态势感知，以提供动态决策支持。原型CareDEX平台将与核心公民合作伙伴共同开发，例如Front Porch(一家全国性的老年护理提供商)，并部署在加利福尼亚州阿纳海姆的SHF。与当地响应机构(洛杉矶、奥兰治县、圣贝纳迪诺、圣地亚哥)和国家实体(联邦应急管理局、红十字会、国家消防局/妇幼保健局)的合作将使应急人员的需求与护理人员相匹配。CareDEX将使用不同的情景进行评估-引发搬迁的野火事件、伴随大流行的野火以及预警时间较短且不确定性增加的快速爆发的地震事件。公民创新挑战是与能源部、国土安全部科学和技术局、联邦紧急事务管理署(FEMA)和国家科学基金会的合作。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Quest: Privacy-Preserving Monitoring of Network Data: A System for Organizational Response to Pandemics

• DOI: 10.1109/tsc.2022.3166802
• 发表时间: 2022-05
• 期刊: IEEE Transactions on Services Computing
• 影响因子: 8.1
• 作者: Shantanu Sharma;S. Mehrotra;Nisha Panwar;N. Venkatasubramanian;Peeyush Gupta;Shanshan Han;Guoxi Wang-Guoxi

Sentaur: Sensor Observable Data Model for Smart Spaces

Sentaur：智能空间的传感器可观测数据模型

• DOI: 10.1145/3511808.3557147
• 发表时间: 2022
• 期刊: 31st ACM Int’l Conference on Information and Knowledge Management
• 作者: Gupta, Peeyush;Mehrotra, Sharad;Sharma, Shantanu;Yus, Roberto;Venkatasubramanian, Nalini
• 通讯作者: Venkatasubramanian, Nalini

Artifact: SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations

工件：SmartSPEC：通过事件驱动模拟定制智能空间数据集

• DOI: 10.1109/percomworkshops53856.2022.9767264
• 发表时间: 2022
• 期刊: IEEE PERCOM 2022
• 作者: Chio, Andrew;Jiang, Daokun;Gupta, Peeyush;Bouloukakis, Georgios;Yus, Roberto;Mehrotra, Sharad;Venkatasubramanian, Nalini
• 通讯作者: Venkatasubramanian, Nalini

The SemIoTic Ecosystem: A Semantic Bridge between IoT Devices and Smart Spaces

• DOI: 10.1145/3527241
• 发表时间: 2022-03
• 期刊: ACM Transactions on Internet Technology (TOIT)
• 作者: Roberto Yus;Georgios Bouloukakis;S. Mehrotra;N. Venkatasubramanian

FLIPS: Federated Learning using Intelligent Participant Selection

• DOI: 10.1145/3590140.3629123
• 发表时间: 2023-08
• 期刊: Proceedings of the 24th International Middleware Conference
• 作者: R. Bhope;K. R. Jayaram;N. Venkatasubramanian;Ashish Verma;Gegi Thomas