SCC-IRG Track 1: Smart Aging: Connecting Communities Using Low-Cost and Secure Sensing Technologies

被称为“银色海啸”的人口老龄化迅速增长，给社会和经济带来了挑战。如果没有适当的工具来支持独立，65 岁的人将不堪重负家庭、提供者和全国其他支持性利益相关者的有限资源。该项目将吸引不同的利益相关者群体共同开发整体技术和社会解决方案，以应对这些挑战，并促进在家养老的老年人的福利、生活质量、自主性和尊严。该项目开发的技术可以检测个人身体、社会和认知状态的紧急、紧急、过渡和长期变化，而预防/早期干预可以带来最大的好处。这些技术将与新颖的社会方法相结合，促进不同人群采用技术。总体而言，该方法将为许多社区带来大规模、有效、节省成本的解决方案。该团队将为学生进行跨学科职业培训，培养下一代精通技术的医疗保健工作者，并将项目研究成果转移到全国各地的社区。该项目将：（1）让纽约长岛萨福克县的老年人、家庭和非家庭护理人员、支持机构和专业人员参与进来，以确定老年人面临的健康和社会挑战； (2) 设计、开发、试点测试和评估稳健、安全且负担得起的持续健康数据收集和分析解决方案，以自动检测、分类和预测健康变化（例如，疾病发作/进展/解决）； (3) 制定社会解决方案和最佳实践，促进传感技术的广泛采用，与利益攸关方有效共享数据，并使用定量、数据驱动的方法衡量健康的社会决定因素； (4) 与不同的社区利益相关者共同开发和共同评估技术和社会解决方案，并对学生、居民和提供者进行端到端的技术辅助老龄化教育/培训。其结果将包括针对老年人挑战的新技术以及技术采用的最佳社会实践，以最大限度地提高所有利益相关者的利益。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

The rapid growth of our aging population, nicknamed the "silver tsunami", causes both social and economic challenges. Without the appropriate tools to support independence, individuals age 65+ will overwhelm the limited resources of families, providers, and other supporting stakeholders nationwide. This project will engage diverse stakeholder groups to develop holistic technological and social solutions to address these challenges and promote the welfare, quality of life, autonomy, and dignity of older adults aging at home. The project develops technologies that can detect emergency, emergent, transitional and long-term changes in individuals’ physical, social and cognitive states at times where prevention/early intervention can have the greatest benefits. These technologies will be paired novel social approaches that foster technology adoption by diverse populations. Overall, the approach will bring effective, cost-saving solutions at scale to many communities. The team will train students for interdisciplinary careers, cultivate the next generation of technology-savvy healthcare workers, and transfer the project findings to communities across the nation.This project will: (1) engage older adults, family and non-family caregivers, supporting institutions, and professionals within Suffolk County, Long Island, New York to identify health and social challenges that aging adults face; (2) design, develop, pilot test, and evaluate robust, secure, and affordable continuous health data collection and analysis solutions to automate health change detection, classification, and prediction (e.g., disease onset/progression/resolution); (3) develop social solutions and best practices that foster greater adoption of sensing technologies, share data effectively with stakeholders, and measure social determinants of health using a quantitative, data-driven approach; and (4) co-develop and co-evaluate the technical and social solutions with diverse community stakeholders---and educate/train students, residents, and providers end-to-end for technology assisted aging in place. The results will include novel technologies targeting challenges of older adults and best social practices in technology adoption to maximize the benefits for all stakeholders.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.