SCC-CIVIC-PG Track B: Low-Cost Efficient Wireless Intelligent Sensors (LEWIS) for Greater Preparedness and Resilience to Post-Wildfire Flooding in Native American Communities
SCC-CIVIC-PG 轨道 B:低成本高效无线智能传感器 (LEWIS),帮助美洲原住民社区更好地做好野火后洪水的准备和抵御能力
基本信息
- 批准号:2043618
- 负责人:
- 金额:$ 5万
- 依托单位:
- 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:2021-01-15 至 2021-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The combined impacts of wildfires and post-wildfire flooding have changed the lives and landscapes of New Mexico’s Native American Communities for over 20 years. Native American communities, state and national agencies, university researchers, and other stakeholders have contributed to recovery efforts and initiated the difficult process of fundamentally changing existing approaches to building resilient communities and landscapes by learning from Pueblo partners. Specifically, Pueblo communities have conveyed to the research team that they can benefit from designing and building their own sensor networks, as opposed to using commercial off-the-shelf sensors, which represents a paradigm shift and a novel approach to community resilience. This paradigm shift presents a new approach to enhancing community resilience where the sensor solutions are designed and built by the community. In this proposal, Pueblo communities will design, build and implement their own Low-Cost Efficient Wireless Intelligent Sensors (LEWIS). These self-built distributed sensor networks will inform communities of trends and thresholds in landscapes that can assist in managing wildfires and providing early warning when fires and floods occur. This project's long-term vision is to develop a Nationwide community of practice that shares ideas, designs, and applications for resilience in Tribal communities by co-developing capacity and communications related to sensor networks and decision- support tools. This collaboration will lead directly to new resilience indices, a pilot demonstration of an environmental sensor network, a blueprint for incorporating sensor data into decision-making platforms, and strategies for building community resilience. The vision for this pilot project is to create an example that catalyzes a user community of sensor technologies that contributes to increased resilience in Tribal communities. In addition, this project will deliver a curriculum module on sensor technologies for environmental monitoring to high school students at the Santa Fe Indian School that demonstrates new, exciting technologies, and introducing career opportunities in STEM. Through this effort, Native American leaders will educate their youth on LEWIS as their own technology.This project aims to contribute to the CIVIC program mission by addressing a critical need in the American Southwest – resilience to wildfires and post-wildfire floods among Tribal communities. The proposed research will contribute new knowledge and advance the area of S&CC through: (1) advancing understanding of the processes for, and outcomes of, co-generation of knowledge between Native American communities and academic researchers; (2) developing improved approaches for incorporating place-based knowledge in the co-development of resilience indices and decision-support platforms; and (3) exploring novel approaches to management, security, and data-sharing that supports the advancement of science, builds community resilience, and respects Native American communities’ concerns regarding data sovereignty. This project is funded by CIVIC Innovation Challenge which includes a partnership with NSF, the Vehicle Technology Office in Department of Energy, and the Science and Technology Director of the Department of Homeland SecurityThis 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.
20多年来,野火和野火后洪水的综合影响改变了新墨西哥州美洲原住民社区的生活和景观。美洲原住民社区、州和国家机构、大学研究人员和其他利益攸关方为恢复工作做出了贡献,并通过向普韦布洛合作伙伴学习,启动了从根本上改变现有建设抗灾社区和景观方法的艰难进程。具体来说,普韦布洛社区已经向研究团队传达了他们可以从设计和构建自己的传感器网络中受益,而不是使用商业现成的传感器,这代表了一种范式转变和一种新的社区恢复方法。这种范式转变为增强社区弹性提供了一种新方法,其中传感器解决方案由社区设计和构建。在这项提案中,普韦布洛社区将设计,建造和实施自己的低成本高效无线智能传感器(刘易斯)。这些自建的分布式传感器网络将向社区通报景观的趋势和阈值,有助于管理野火,并在火灾和洪水发生时提供预警。 该项目的长期愿景是通过共同开发与传感器网络和决策支持工具相关的能力和通信,建立一个全国性的实践社区,分享部落社区复原力的想法、设计和应用。这一合作将直接导致新的复原力指数、环境传感器网络的试点示范、将传感器数据纳入决策平台的蓝图以及建设社区复原力的战略。该试点项目的愿景是创造一个例子,催化传感器技术的用户社区,有助于提高部落社区的复原力。此外,该项目还将为圣达菲印第安学校的高中生提供一个关于环境监测传感器技术的课程模块,展示令人兴奋的新技术,并介绍STEM的就业机会。通过这一努力,美国原住民领袖将教育他们的年轻人刘易斯作为他们自己的技术。该项目旨在通过解决美国西南部的关键需求-部落社区对野火和野火后洪水的恢复能力,为CIVIC计划使命做出贡献。拟议的研究将通过以下方式贡献新知识并推进S CC领域&:(1)增进对美洲原住民社区和学术研究人员共同创造知识的过程和成果的理解;(2)制定更好的方法,将基于地点的知识纳入共同开发复原力指数和决策支持平台;以及(3)探索新的管理、安全和数据共享方法,以支持科学进步,建立社区弹性,尊重美国原住民社区对数据主权的担忧。 该项目由CIVIC创新挑战资助,其中包括与NSF,能源部车辆技术办公室和国土安全部科学技术主任的合作关系。该奖项反映了NSF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。
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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Fernando Moreu其他文献
Human-in-the-loop control of dynamics and robotics using augmented reality
- DOI:
10.1016/j.jdd.2024.100005 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:
- 作者:
Elijah Wyckoff;Ronan Reza;Fernando Moreu - 通讯作者:
Fernando Moreu
Identification of non-conforming temporal patterns in mixed shock and vibration data with the Information Impulse Function
利用信息脉冲函数识别混合冲击与振动数据中不符合要求的时间模式
- DOI:
10.1016/j.ymssp.2025.112946 - 发表时间:
2025-08-01 - 期刊:
- 影响因子:8.900
- 作者:
Angela Montoya;Daniel Roettgen;Samuel Parker;Benjamin Moldenhauer;Fernando Moreu - 通讯作者:
Fernando Moreu
Immersive Robot Programming Interface for Human-Guided Automation and Randomized Path Planning
用于人工引导自动化和随机路径规划的沉浸式机器人编程接口
- DOI:
10.48550/arxiv.2406.02799 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Kaveh Malek;Claus Danielson;Fernando Moreu - 通讯作者:
Fernando Moreu
Visualization of real-time displacement time history superimposed with dynamic experiments using wireless smart sensors and augmented reality
- DOI:
10.1007/s11803-023-2184-x - 发表时间:
2023-05-17 - 期刊:
- 影响因子:3.300
- 作者:
Marlon Aguero;Derek Doyle;David Mascarenas;Fernando Moreu - 通讯作者:
Fernando Moreu
Increasing human immersion with image analysis using automatic region selection
通过自动区域选择增加人类与图像分析的沉浸度
- DOI:
10.1016/j.eswa.2025.127938 - 发表时间:
2025-07-25 - 期刊:
- 影响因子:7.500
- 作者:
Kaveh Malek;Mahsa Sanei;Ali Mohammadkhorasani;Fernando Moreu - 通讯作者:
Fernando Moreu
Fernando Moreu的其他文献
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{{ truncateString('Fernando Moreu', 18)}}的其他基金
SCC-CIVIC-FA Track B: Low-Cost Efficient Wireless Intelligent Sensors (LEWIS) for Greater Preparedness and Resilience to Post-Wildfire Flooding in Native American Communities
SCC-CIVIC-FA 轨道 B:低成本高效无线智能传感器 (LEWIS),帮助美洲原住民社区更好地做好野火后洪水的准备和抵御能力
- 批准号:
2133334 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: HDR DSC: Infusing community-centered data science into undergraduate engineering curricula
合作研究:HDR DSC:将以社区为中心的数据科学融入本科工程课程
- 批准号:
2123346 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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