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

在过去的20年里，野火和随后的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、国家和州机构、大学研究人员和其他人都加紧为恢复工作做出贡献。除了恢复之外，研究人员还开始通过向我们的部落伙伴和公民伙伴学习，从根本上改变我们建设有复原力的社区和景观的方法。具体来说，部落社区表示，他们可以受益于建设和设计自己的传感器网络，以低成本，而不是使用商业现货（COTS）传感器。这种范式转变使社区成为传感器的设计者和建造者：这是一种增强社区复原力的新方法。Ohkay Owingeh Pueblo的社区成员将共同设计，共同建设和实施他们自己的低成本高效无线智能传感器（刘易斯）网络。这种自建、定制和分布式的传感器网络将向社区通报景观的趋势和阈值，这有助于预防野火，并在洪水发生时为预警系统提供关键信息。我们的长期愿景是发展科学实践和证据，以增强社区的复原力。新墨西哥州的Ohkay Owingeh Pueblo将与来自新墨西哥州大学四个学术单位的研究人员、顾问和评估人员、教育工作者、国家实验室、以部落联络为代表的新墨西哥州交通部以及新墨西哥州美洲原住民复原力的美洲原住民领导人共同规划该项目。这项行动研究项目解决了美国西南部的一个关键需求领域-建立部落社区对野火和野火后洪水的自然灾害的恢复能力。这个基于社区的项目将创建一个蓝图和框架，将传感器数据纳入决策支持平台。部落青年的参与还将通过在社区内建设技术能力，促进劳动力发展和培训，提高该项目的长期可持续性。该研究将有助于以下领域：（1）提高对美洲原住民社区和学术研究人员共同生成知识的过程和结果的认识;（2）将基于地点的知识纳入社区开发的刘易斯网络和决策支持平台的共同开发弹性指数;以及（3）探索新的方法来管理，安全和选择性地共享数据，以支持科学进步，建立社区对自然灾害的恢复能力，并尊重对数据主权的关注。该项目是CIVIC创新挑战赛的一部分，该挑战赛是NSF、能源部车辆技术办公室、国土安全部科学技术局和联邦应急管理局的合作项目。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。

The combined impacts of wildfires and subsequent post-wildfire floods have changed the lives and landscapes of New Mexico’s Native American Communities over the past 20 years. Native American communities, national and state agencies, university researchers, and others, have all stepped up to contribute to recovery efforts. Beyond recovery, researchers have also begun to initiate the process of fundamentally changing our approaches to building resilient communities and landscapes by learning from our tribal partners and civic partners. Specifically, tribal communities have indicated that they can benefit from building and designing their own sensor networks at a low cost, as opposed to using commercial off-the-shelf (COTS) sensors. This paradigm shift empowers the community as the sensor designer and builder: a new approach to enhancing community resilience. Community members of the Ohkay Owingeh Pueblo will co-design, co-build, and implement their own Low-Cost Efficient Wireless Intelligent Sensors (LEWIS) networks. This self-built, customized, and distributed sensor network will inform the community of trends and thresholds in landscapes that can help to prevent wildfires and provide critical information to early warning systems when floods occur. Our long-term vision is to develop scientific practice and evidence that will enhance the resilience of communities. The Ohkay Owingeh Pueblo in New Mexico will co-plan this project with researchers from four academic units of the University of New Mexico, consultants and evaluators, educators, national labs, the New Mexico Department of Transportation represented by the Tribal Liaison, and Native American Leaders in Native American Resilience in New Mexico. This research in action project addresses a critical area of need in the American Southwest – building resilience of tribal communities to the natural hazards of wildfires and post-wildfire floods. This community-based project will create a blueprint and framework for incorporating sensor data into decision support platforms. Participation from tribal youth will also increase the long-term sustainability of this project by building technical capacity within the community, which enables workforce development and training. The research will contribute to the following fields: (1) advancement of knowledge of the processes and outcomes for co-generation of knowledge between Native American communities and academic researchers; (2) incorporating place-based knowledge for co-developing resilience indices from LEWIS networks developed by the community, and decision support platforms; and (3) exploration of novel approaches to management, security, and selective sharing of data in ways that support the advancement of science, build community resilience to natural hazards, and respect concerns over data sovereignty. This project is part of the CIVIC Innovation Challenge which is a collaboration of NSF, the Department of Energy's Vehicle Technology Office, and the Department of Homeland Security's Science and Technology Directorate and Federal Emergency Management Agency.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.