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原型开放知识网络(prototype -Open Knowledge Network, Proto-OKN)主题1 OKN用例项目的总体目标是开发一个水-能源Nexus开放知识网络(WEN-OKN),该网络将实现两个主要任务:首先,它将通过创建一个密集互联的知识图(KG)将目前孤立的水-能源数据互连起来;其次,它将有助于认识和处理水-能源关系中复杂的相互关系,特别是那些目前尚未探索的,可能引发级联故障的相互关系。wenn - okn将为在全国范围内管理水-能源关系的综合、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)、联邦紧急事务管理局(FEMA)、交通部(DOT)、国家航空航天局(NASA)和美国陆军工程兵团(USACE)。同时,它将通过促进各机构之间和内部的数据共享,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和基础设施的分析研究和可持续管理奠定坚实的基础。它将在立即应对和减轻灾害以及未来规划情景方面发挥关键作用。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为各种利益相关者创造了一个协作环境,共同创造一个面向公共解决方案的工具,为水-能源关系决策的道德驱动的社会技术方法铺平了道路。该项目的智力优势在于,它能够通过WEN-OKN将多个非互操作部门的水和能源数据有意义地连接起来,促进对水能关系的查询。在联邦和州政府、行业专业人士、专家和专家的不同投入下,WEN-OKN解决了管理水能关系的融合大数据挑战,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了数据和知识的可查找性、可访问性、可互操作性和可重用性(FAIR),使来自不同领域的利益相关者能够贡献、共享和访问信息。预计该项目将增强水和能源抵御能力,减少未来气候和土地利用威胁,促进机构间和机构内合作。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
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
A1: The Urban Flooding Open Knowledge Network (UF-OKN): Delivering Flood Information to AnyOne, AnyTime, AnyWhere
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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:
A systems approach to managing the Urban Infrastructure Grid
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批准号:1929869
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2019
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负责人:Lilit Yeghiazarian
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依托单位:
Convergence Accelerator Phase I (RAISE): The Urban Flooding Open Knowledge Network
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批准号:1937099
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项目类别:Standard Grant
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资助金额:$100.0万
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财政年份:2019
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负责人:Lilit Yeghiazarian
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依托单位:
CAREER:Integrated Research & Education In Stochastic Systems-Based Watershed Management & Water Safety (SWMS)
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批准号:1351361
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项目类别:Continuing Grant
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资助金额:$40.96万
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财政年份:2014
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负责人:Lilit Yeghiazarian
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依托单位:
EAGER: MONITORING NATION'S WATERS - TOWARDS A SWIMMING BIOSENSOR TO DYNAMICALLY MAP MICROBIAL CONTAMINATION
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批准号:1248385
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2012
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负责人:Lilit Yeghiazarian
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依托单位:
国内基金
海外基金
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批准号:39200038
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项目类别:青年科学基金项目
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资助金额:4.5万元
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批准年份:1992
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负责人:方烈义
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依托单位: