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Proto-OKN Theme 1: Safe Agricultural Products and Water Graph (SAWGraph): An OKN to Monitor and Trace PFAS and Other Contaminants in the Nation's Food and Water Systems

Proto-OKN Theme 1: Safe Agricultural Products and Water Graph (SAWGraph): An OKN to Monitor and Trace PFAS and Other Contaminants in the Nation's Food and Water Systems
原型 OKN 主题 1:安全农产品和水图 (SAWGraph):用于监测和追踪国家食品和水系统中 PFAS 和其他污染物的 OKN
批准号:
2333782
负责人:
Torsten Hahmann
金额:
$149.97万
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
项目状态:
未结题
起止时间:
2023-10-01 至 2026-09-30

项目摘要

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中文摘要
翻译
安全农产品和水图表(SAWGraph)项目旨在构建和测试知识图表,作为一种新工具,用于(1)监测和追踪我们的环境,食品和供水中的全氟烷基和多氟烷基物质(PFAS),以及(2)评估不同社区如何暴露于不同水平的PFAS相关健康风险。PFAS通常被称为“永久化学品”,因为它们具有抗降解性,对健康构成重大风险,并已在我们的环境,供水和食物链中普遍存在。相关数据和知识的零散性阻碍了在解决全氟辛烷磺酸污染方面取得进展。SAWGraph将汇集不同的数据集,涵盖:(1)已知或疑似PFAS污染的关注点,(2)水,土壤,植物和动物组织,饲料和农产品中PFAS水平的样本,以及(3)可能处于最高暴露风险的地点和社区。这将与来自EPA的CompTox化学仪表板的关于化学成分、已知毒性、监管状态以及与运输和归宿分析相关的特性的知识相结合。为了评估和促进关于SAWGraph的对话,它将配备支持查询和分面搜索的原型用户界面,沿着提供交互式地理可视化和空间分析功能。SAWGraph将纳入考虑社会方面的数据,包括贫困社区的PFAS暴露风险,并寻求专家投入,以平衡PFAS污染的健康和经济影响,特别是对农业的潜在影响。为了应对不断变化的PFAS监测和安全法规,SAWGraph将与政府利益相关者协调努力,以确保其继续支持有关PFAS法规的决策过程。为了确保工作的成功,该团队将与联邦机构和州一级的利益相关者合作,他们是PFAS数据的主要生产者、维护者和用户。与利益相关者的伙伴关系将提高SAWGraph等工具在为PFAS相关决策提供信息方面的有效性,并借助利益相关者在数据访问,处理和解释方面的专业知识。通过与这些合作伙伴和其他利益相关者的持续互动和合作,该项目寻求获得广泛的认同和支持,确保该图在项目持续时间之外的长期成功和可持续性。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。
英文摘要
The Safe Agricultural Products and Water Graph (SAWGraph) project aims to build and test a knowledge graph as a novel tool for (1) monitoring and tracing Per- and polyfluoroalkyl substances (PFAS) in our environment, food and water supplies, and for (2) assessing how different communities are exposed to different levels of PFAS-related health risks. PFAS, commonly referred to as "forever chemicals" due to their resistance to degradation, pose significant health risks and have become pervasive in our environment, water supplies, and food chain. Progress on addressing PFAS contamination is hampered by the fragmented nature of relevant data and knowledge. SAWGraph will bring together diverse datasets that span: (1) sites of concerns with known or suspected PFAS contamination, (2) samples of PFAS levels in water, soil, plant and animal tissue, feed, and agricultural food products, and (3) sites and communities that may be at highest risk of exposure. This will be integrated with knowledge from EPA’s CompTox Chemical Dashboard on chemical composition, known toxicity, regulatory status, and properties relevant to transport and fate analysis. To evaluate and facilitate dialogue about SAWGraph, it will be equipped with prototype user interfaces that support query and faceted search, along with offering interactive geo-visualizations and spatial analysis functions.SAWGraph will incorporate data considering social aspects, including PFAS exposure risks in disadvantaged communities, and seek expert input to balance health and economic implications of PFAS contamination, particularly regarding the potential impact on agriculture. In response to the evolving PFAS monitoring and safety regulations, SAWGraph will align its efforts with governmental stakeholders to ensure it remains supportive of the decision-making processes concerning PFAS regulations. To ensure success of the work, the team will partner with federal agency and state-level stakeholders who are key producers, maintainers, and users of PFAS data. Partnerships with stakeholders will enhance the efficacy of tools like SAWGraph in informing PFAS-related decisions, with the aid of stakeholder expertise for data access, processing, and interpretation. Through continuous interaction and collaboration with these partners and additional stakeholders, the project seeks to secure widespread buy-in and support, ensuring the graph's long-term success and sustainability beyond the project's duration.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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CRII: III: RI: Empowering Multi-Conceptual Spatial Reasoning with a Repository of Qualitative and Quantitative Spatial Ontologies
  • 批准号:
    1565811
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.5万
  • 财政年份:
    2016
  • 负责人:
    Torsten Hahmann
  • 依托单位:
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