RCN: Accelerating development and expansion of a diverse environmental data science community and research agenda
RCN: Accelerating development and expansion of a diverse environmental data science community and research agenda
批准号:
2021151
负责人:
Benjamin Halpern
金额:
$49.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-02-01 至 2026-01-31
中文摘要
环境科学正变得越来越复杂,需要跨学科、数据驱动的方法来解决紧迫的研究问题。环境科学需要新的方法,这些方法依赖于开放,透明和可重复的数据科学方法,并优先考虑解决问题的各种方法。随着数据科学界不断发展和开发更先进、用户友好的方法来创建可复制的科学,数据科学和环境科学界之间正在出现协同效应。虽然这些协同作用在特定项目和机构内有机地发展,但还需要协调一致的跨学科努力来创建共享空间和研究议程,以团结这个新兴的环境数据科学(EDS)社区并加速他们的共同工作。该研究协调网络将为一个更具凝聚力和协作性的EDS社区奠定基础,该社区超越学科界限,并建立一套共同的研究原则和实践,以引领该领域走向未来。年度峰会提供了一个很好的论坛,将这个新生的研究社区聚集在一起,讨论当前的挑战和机遇,分享前沿方法,并在新的研究方向上联合起来。这些峰会将成为EDS社区的中心,也是未来几年新想法和突破的孵化器。国家生态分析和综合中心(NCEAS)的沟通团队将努力通过社交媒体,博客文章和网络研讨会接触广泛而多样化的受众。在NCEAS长期致力于开放科学之后,与该网络相关的任何数据和出版物都将通过开放门户网站免费提供。为了让观众尽可能多地参与年度峰会,主题演讲、全体会议演讲和全体会议讨论期间将提供虚拟出席,并鼓励通过直播,所有主题演讲的录音都将在EDS社区的YouTube频道上提供。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。
英文摘要
Environmental science is becoming increasingly complex, requiring trans-disciplinary, data-driven approaches to address pressing research questions. New approaches to environmental science are needed, ones that rely on open, transparent, and reproducible data science methodologies and that prioritize diverse ways of problem solving. As the data science community continues to grow and develop more advanced, user-friendly methodologies for creating reproducible science, synergies are emerging between the data science and environmental science communities. While these synergies have developed organically within specific projects and institutions, there has yet to be a concerted, trans-disciplinary effort to create a shared space and research agenda to unite this burgeoning Environmental Data Science (EDS) community and accelerate their work together. This Research Coordination Network will lay a foundation for a more cohesive and collaborative EDS community that reaches beyond disciplinary boundaries and establishes a common set of research principles and practices to lead this field into the future. Annual Summits provide an excellent forum to bring this nascent research community together to discuss current challenges and opportunities, share cutting edge methodologies, and coalesce on new research directions. These Summits will be a hub for the EDS community and an incubator for new ideas and breakthroughs for years to come. The National Center for Ecological Analysis and Synthesis (NCEAS) communication team will work to reach a broad and diverse audience with social media, blog posts, and webinars. Any data and publications associated with the network will be made freely available through open-access portals, following a long commitment at NCEAS to open science. To allow for the greatest possible audience engagement with the annual summits, virtual attendance during keynote presentations, plenary presentations, and plenary discussions will be available and encouraged via live stream, and recordings of all keynote addresses will be made available on a dedicated EDS Community YouTube Channel.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:2329533
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资助金额:$10.0万
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财政年份:2024
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负责人:Benjamin Halpern
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依托单位:
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批准号:2019902
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依托单位:
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批准号:1940692
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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:2019
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负责人:Benjamin Halpern
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依托单位:
LTER National Coordination Office: Facilitating Collaboration, Accelerating Synthesis
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批准号:1929393
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项目类别:Cooperative Agreement
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资助金额:$439.5万
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财政年份:2019
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负责人:Benjamin Halpern
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依托单位:
海外基金