Proto-OKN Theme 1: The Water-Energy Nexus Open Knowledge Network (WEN-OKN)
Proto-OKN 主题 1:水-能源关系开放知识网络 (WEN-OKN)
基本信息
- 批准号:2333726
- 负责人:
- 金额:$ 147.2万
- 依托单位:
- 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
- 起止时间:2023-10-01 至 2026-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
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。它将在立即的救灾和减灾以及未来的规划方案中发挥至关重要的作用。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。
项目成果
期刊论文数量(0)
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专利数量(0)
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Lilit Yeghiazarian其他文献
An efficient data-driven method for isolating dry-weather flow from total combined sewer flow data
一种从合流污水总流量数据中分离出旱季流量的高效数据驱动方法
- DOI:
10.1016/j.envsoft.2025.106470 - 发表时间:
2025-05-30 - 期刊:
- 影响因子:4.600
- 作者:
Katie Straus;John Barton;M. Sadegh Riasi;Lilit Yeghiazarian - 通讯作者:
Lilit Yeghiazarian
Role of temperature in quanta mechanisms of facilitation in the frog neuromuscular junction
- DOI:
10.1007/s004220050458 - 发表时间:
1998-08-01 - 期刊:
- 影响因子:1.600
- 作者:
Lilit Yeghiazarian;Mark Kaiser - 通讯作者:
Mark Kaiser
Lilit Yeghiazarian的其他文献
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{{ truncateString('Lilit Yeghiazarian', 18)}}的其他基金
A1: The Urban Flooding Open Knowledge Network (UF-OKN): Delivering Flood Information to AnyOne, AnyTime, AnyWhere
A1:城市洪水开放知识网络(UF-OKN):向任何人、任何时间、任何地点传递洪水信息
- 批准号:
2033607 - 财政年份:2020
- 资助金额:
$ 147.2万 - 项目类别:
Cooperative Agreement
Convergence Accelerator Phase I (RAISE): The Urban Flooding Open Knowledge Network
融合加速器第一阶段(RAISE):城市洪水开放知识网络
- 批准号:
1937099 - 财政年份:2019
- 资助金额:
$ 147.2万 - 项目类别:
Standard Grant
A systems approach to managing the Urban Infrastructure Grid
管理城市基础设施网格的系统方法
- 批准号:
1929869 - 财政年份:2019
- 资助金额:
$ 147.2万 - 项目类别:
Standard Grant
CAREER:Integrated Research & Education In Stochastic Systems-Based Watershed Management & Water Safety (SWMS)
职业:综合研究
- 批准号:
1351361 - 财政年份:2014
- 资助金额:
$ 147.2万 - 项目类别:
Continuing Grant
EAGER: MONITORING NATION'S WATERS - TOWARDS A SWIMMING BIOSENSOR TO DYNAMICALLY MAP MICROBIAL CONTAMINATION
渴望:监测国家水域 - 开发游泳生物传感器来动态绘制微生物污染图
- 批准号:
1248385 - 财政年份:2012
- 资助金额:
$ 147.2万 - 项目类别:
Standard Grant
相似国自然基金
等亮度彩色运动图象的OKN眼动跟踪的研究
- 批准号:39200038
- 批准年份:1992
- 资助金额:4.5 万元
- 项目类别:青年科学基金项目
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