Proto-OKN Theme 1: The Water-Energy Nexus Open Knowledge Network (WEN-OKN)
Proto-OKN Theme 1: The Water-Energy Nexus Open Knowledge Network (WEN-OKN)
批准号:
2333726
负责人:
Lilit Yeghiazarian
金额:
$147.2万
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:
2023-10-01 至 2026-09-30
中文摘要
这个NSF开放知识网络的首要目标是(Proto-OKN)主题1 OKN用例项目是开发一个水-能源关系开放知识网络(WEN-OKN),它将实现两个主要任务:首先,它将通过创建一个密集互连的知识图(KG)来互连当前孤立的水-能源数据;第二,它将有助于认识和处理水-能源关系中复杂的相互联系,特别是目前尚未探索的相互联系,这些相互联系有可能引发连锁故障。WEN-OKN将为在全国范围内管理水-能源关系的综合性、基于系统的方法铺平道路。WEN-OKN将连接来自许多联邦机构的数据集,如美国地质调查局(USGS),国家海洋和大气管理局(NOAA),能源部(DOE),美国环境保护局(USEPA),联邦应急管理局(FEMA),交通部(DOT),国家航空航天局(NASA),美国陆军工程兵团(USACE)。同时,它将通过促进机构之间和机构内部的数据共享,鼓励内部和外部的连通性。一旦成功,WEN-OKN将成为国家数据基础设施的重要组成部分,为美国水和能源资源及基础设施的分析研究和可持续管理奠定坚实的基础。它将在紧急救灾和减灾以及未来规划方面发挥关键作用。通过开放获取高质量的综合数据,WEN-OKN将促进在水-能源关系方面采取果断行动,并有针对性地应对气候威胁。WEN-OKN为各利益相关方营造了一个协作环境,共同创建一个以公共解决方案为导向的工具,为在水-能源关系中采用道德驱动的社会技术方法进行决策铺平了道路。该项目的智力价值在于,它能够通过WEN-OKN有意义地连接多个非互操作部门的水和能源数据,促进水-能源关系中的查询。借助来自联邦和州政府、行业专业人士、专家和专家的各种投入,WEN-OKN解决了管理水-能源关系的大数据挑战,并随着时间的推移提供了灵活性和可扩展性。这个开放的知识网络确保数据和知识是可查找的、可解释的、可互操作的和可重用的(FAIR),使来自各个领域的利益相关者能够贡献、共享和访问信息。该项目预计将提高水和能源的弹性,减少未来的气候和土地使用的威胁,并促进机构间和机构内的协作。该奖项反映了NSF的法定使命,并已被认为是值得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的支持。
英文摘要
The overarching aim of this NSF Proto-Open Knowledge Network (Proto-OKN) Theme 1 OKN Use Case project is to develop a Water-Energy Nexus Open Knowledge Network (WEN-OKN) that will achieve two primary tasks: firstly, it will interconnect currently siloed water-energy data by creating a densely interconnected knowledge graph (KG); secondly, it will aid in recognizing and dealing with the complex interconnections within the water-energy nexus, particularly those currently unexplored, which can potentially trigger cascading failures. WEN-OKN will pave the way to an integrated, systems-based approach to manage the water-energy nexus nationally. WEN-OKN will connect datasets sourced from a host of federal agencies, such as the United States Geological Survey (USGS), National Oceanic and Atmospheric Administration (NOAA), Department of Energy (DOE), United States Environmental Protection Agency (USEPA), Federal Emergency Management Agency (FEMA), Department of Transportation (DOT), National Aeronautics and Space Administration (NASA), and the United States Army Corps of Engineers (USACE). Simultaneously, it will encourage connectivity both internally and externally, through the facilitation of data sharing across and within agencies. Once successful, WEN-OKN will become a vital part of the National data infrastructure, laying a strong foundation for analytical studies and sustainable management of U.S. water and energy resources and infrastructure. It will play a crucial role in both immediate disaster response and mitigation, and future planning scenarios. By granting open access to high-quality, integrated data, WEN-OKN will facilitate decisive actions at the water-energy nexus and enable targeted responses to climate threats. WEN-OKN fosters a collaborative environment for various stakeholders to co-create a public solutions-oriented tool, paving the way for an ethically driven socio-technical approach to decision-making at the water-energy nexus.This project's intellectual merit lies in its capacity to meaningfully connect water and energy data across multiple non-interoperable sectors through WEN-OKN, facilitating inquiries at the water-energy nexus. With diverse input from federal and state governments, industry professionals, experts and specialists, the WEN-OKN addresses the convergent, big data challenge of managing the water-energy nexus, offering flexibility and extensibility over time. This open knowledge network ensures data and knowledge are Findable, Accessible, Interoperable, and Reusable (FAIR), enabling stakeholders from various domains to contribute, share, and access information. The project is expected to enhance water and energy resilience, reduce future climate and land use threats, and promote inter- and intra-agency collaboration.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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批准号:2033607
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项目类别:Cooperative Agreement
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资助金额:$500.0万
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财政年份:2020
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负责人:Lilit Yeghiazarian
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依托单位:
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资助金额:$100.0万
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资助金额:$5.0万
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资助金额:$10.0万
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负责人:Lilit Yeghiazarian
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