NSF Engines Development Award: Advancing equitable access to food and health techologies in the Delta (AR, LA, MS)
NSF Engines Development Award: Advancing equitable access to food and health techologies in the Delta (AR, LA, MS)
批准号:
2304299
负责人:
Joseph Thompson
金额:
$100.0万
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-15 至 2025-04-30
中文摘要
该NSF发动机发展奖将为密西西比河下游三角洲地区未来的NSF发动机奠定基础,以发展由不同技术人员、从业人员、研究人员和企业家组成的区域劳动力;发起新公司的创建和由此产生的相关经济机会;将学术环境和私营部门倡议中开发的发现和新技术转化为市场;在低收入社区和全国有色人种社区长期存在的不平等现象中,实现更好、更公平的健康和经济成果。该项目由阿肯色州健康改善中心牵头,包括代表10个学术研究机构、7个营利性公司、各种州政府机构、17个非营利组织和两个少数族裔拥有的社区发展金融机构的不同地区利益相关者。这项规划工作将建立在之前联邦政府对该地区在人工智能、生物技术、智能农业、生物医学信息学和数据分析方面的基础和应用研究投资的基础上。它将建立跨州的战略伙伴关系,共同创建一个区域生态系统,支持改善所有居民的健康和经济成果,其中许多人处于社会的地理、政治和经济边缘。最终NSF引擎的愿景是为拟议区域内外的居民实现公平的健康和经济成果的新颖解决方案的创新孵化器。根据该地区人口对食品和医疗保健的基本需求记录,结合2019冠状病毒病大流行的挑战和成功应对措施,以使用为灵感的创新和创业农村解决方案的研究和开发机会已经成熟,这不仅将解决目标地区的问题,还将为该国其他农村地区提供潜在的解决方案。最终的引擎将围绕健康食品的新交付模式、技术辅助诊断、慢性病的监测和预防及治疗,以及非传统诊断和药物治疗,重点是创新、进步和基础设施,以改善服务不足人群的卫生保健。要将这些创新成果成功转化为实践,就需要为农村社区量身打造劳动力发展和创业成功融资新模式。生态系统的成功发展需要集中精力克服历史上对某些社区的边缘化和歧视,并为可持续增长开发地方知识资产。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
This NSF Engines Development Award will lay the groundwork for a future NSF Engine in the lower Mississippi River Delta to develop a regional workforce of diverse technicians, practitioners, researchers, and entrepreneurs; initiate the creation of new companies and associated economic opportunities that emanate from them; translate discoveries and new technologies developed in and across academic environments and private sector initiatives to the market; and achieve better and more equitable health and economic outcomes across a region with disparities that are longstanding and disproportionately shared by low-income communities and communities of color across the nation. Led by the Arkansas Center for Health Improvement, this project includes diverse regional stakeholders representing ten academic research institutions, seven for-profit companies, various state government agencies, seventeen nonprofits, and two minority-owned community development finance institutions. This planning effort will build upon previous federal investments in the region in basic and applied research in artificial intelligence, biotechnology, smart agriculture, biomedical informatics, and data analytics. It will build strategic partnerships across state lines co-creating a regional ecosystem that supports improved health and economic outcomes for all residents, many of whom are on society's geographic, political, and economic fringes. The vision for the eventual NSF Engine is an innovative incubator of novel solutions to achieve equitable health and economic outcomes for the residents of the proposed region and beyond. Based upon the documented basic needs of the region’s population for food and health care, combined with the challenges and successful responses from the COVID-19 pandemic, the opportunity is ripe for use-inspired research and development of innovative and entrepreneurial rural solutions that will not only address the targeted region but also offer potential solutions for other rural areas of the nation. The eventual Engine will revolve around new delivery models for healthy food, technology-assisted diagnosis, monitoring and prevention and treatment for chronic diseases, and non-traditional diagnostic and pharmacologic therapeutics, focusing on innovations, advancements, and infrastructures that improve health care for under-served populations. Successful translation of these innovations into practice will require workforce development and new financing models for entrepreneurial success tailored for rural communities. Successful development of the ecosystem will require focused efforts to overcome historical marginalization and discrimination of certain communities and the development of local intellectual assets for sustainable growth.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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会议论文
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