Smart and Connected Communities- Perspectives for Border Communities
智能互联社区——边境社区的视角
基本信息
- 批准号:1833482
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-10-01 至 2020-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The U.S.-Mexico border region is home to more than 80 million people. Binational cooperation, especially on issues of shared importance, such as transportation, commerce, and the environment, is vital to ensuring economic prosperity and environmental sustainability in both countries. Emerging technologies and other innovations can offer smart solutions that have the potential to address many of the challenges in border communities including infrastructure resilience, and food, energy, and water security. Never has the need been greater for academic institutions, border communities, private industry, non-governmental, and government agencies to work together to identify common technology, water, energy, environmental, and security challenges, and to explore and test smart utility infrastructure solutions along both sides of the border. This project brings together four public universities in California, Arizona, New Mexico, and Texas in collaboration with four universities in Mexico to conduct a series of three workshops to foster collaboration amongst academic institutions, government agencies, nonprofit organizations, and industry partners on both sides of the U.S.-Mexico border to pursue fundamental research, the results of which can benefit communities and economies in both countries.The workshops will catalyze the ideas, partnerships, and resources needed to foster collaborative, binational research, and open access to data that will inform solutions to regional U.S. and Mexico challenges that take advantage of smart technology. Specifically, the proposed workshops will support the initiation and advancement of convergent, interdisciplinary research relevant to the development of innovative solutions to the most pressing border-region challenges: water-energy security, economic opportunity, education, security, immigration, and crime. Additionally, the workshops and the research activities that flow from them will promote Science, Technology, Engineering and Mathematics (STEM) workforce development on both sides of the border. Ultimately, the research will contribute to improving quality of life for those who live in the border region by potentially lowering energy costs, reducing food scarcity, improving border safety and commerce, and offering better healthcare access to underserved communities. Application of the data and research results of anticipated Alliance projects is anticipated to extend far beyond border communities to other regions with similar infrastructural, environmental, and social concerns.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.
美国 - 墨西哥边境地区是超过8000万人的所在地。双性合作,尤其是在具有共同重要性的问题(例如运输,商业和环境)方面,对于确保两国的经济繁荣和环境可持续性至关重要。新兴技术和其他创新可以提供智能解决方案,这些解决方案有可能应对边境社区中许多挑战,包括基础设施的弹性,食品,能源和水安全。对于学术机构,边境社区,私营企业,非政府和政府机构而言,不需要更大的需求,以确定常见的技术,水,能源,环境和安全挑战,并探索和测试边境两侧沿线的智能公用事业基础设施解决方案。该项目汇集了加利福尼亚,亚利桑那州,新墨西哥州和德克萨斯州的四所公立大学,与墨西哥的四所大学合作,进行了三个研讨会,以促进学术机构,政府机构,非营利组织,非营利组织,以及在美国 - 墨西哥核心方面的构想,构想的构想,社区和经济学的构想,社区的各个方面的行业伙伴之间的合作。合作伙伴关系和资源,以促进合作,民族研究以及开放访问数据,这些数据将为利用智能技术优势的美国地区和墨西哥挑战提供信息。具体而言,拟议的研讨会将支持融合,跨学科研究的启动和进步,这与针对最紧迫的边境区域挑战的创新解决方案相关的研究:水能安全,经济机会,教育,安全,移民和犯罪。此外,从边界两边的工作室和研究活动将促进科学,技术,工程和数学(STEM)劳动力发展。最终,这项研究将通过潜在地降低能源成本,减少粮食稀缺,改善边境安全和商业以及为服务不足的社区提供更好的医疗服务,从而有助于改善生活在边境地区的人们的生活质量。预计预期联盟项目的数据和研究结果的应用将远远超出边境社区的范围,以与具有类似基础设施,环境和社会关注的其他地区。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来进行评估的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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数据更新时间:2024-06-01
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- DOI:
- 发表时间:20242024
- 期刊:
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Collaborative Research: Sequential Predictors for Partial Differential Equation and Delay Systems: Designs, Theory, and Applications
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3D 打印螺杆挤出机延迟/偏微分方程 (PDE) 动力学控制
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Collaborative Research: Designs and Theory of State-Constrained Nonlinear Feedback Controls for Delay and Partial Differential Equation Systems
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