Oceanhackweek: A Workshop to Explore Data Science in Oceanography; August 2019; Seattle, Washington
Oceanhackweek: A Workshop to Explore Data Science in Oceanography; August 2019; Seattle, Washington
批准号:
1933157
负责人:
Wu-Jung Lee
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-05-15 至 2020-04-30
中文摘要
Oceanhackweek 2019将是一个为期5天的强化“学习黑客”,于2019年8月26日至30日在华盛顿大学举行。该黑客程序为加快采用数据科学方法和计算工具进行海洋科学界的数据密集型研究提供了一条途径。这些技能对于现代海洋学家通过利用数据革命来解决复杂的科学问题是不可或缺的。Oceanhackweek与传统的学术会议和一次性的黑客马拉松不同,其沉浸式课程,协作学习环境以及一套精心设计的参与者选择标准有助于促进多样性和包容性。这些设计有助于激发跨学科的协作思想,并有助于将最佳数据科学实践纳入海洋科学。黑客将专注于各种海洋数据,包括来自海洋观测系统的数据,这是一个由国家科学基金会海洋科学部支持的海洋数据设施。将使用的其他数据库包括气候多变性和气候变化研究所和碳水文数据办公室以及甲板到储存库滚动数据库。Oceanhackweek不仅致力于促进数据科学素养,还致力于建立一个包容和有凝聚力的海洋学家社区,以促进学习和分享。黑客机会将在传统的学术场所和社交媒体上在国内和国际上进行广告宣传。与会者将由一个咨询委员会挑选,该委员会将努力建立一个多样化的海洋数据用户社区。组织者计划鼓励并授权参与者将在黑客周期间获得的技能和社区意识带回他们自己的实验室和机构。除了密集的面对面研讨会,Oceanhackweek教程将作为持续开放的在线资源,允许任何人参与和自学。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。
英文摘要
Oceanhackweek 2019 will be a 5-day intensive "learning hackathon", held during August 26-30, 2019 at the University of Washington. The hackathon provides an avenue for expediting the adoption of data science methodologies and computational tools for data-intensive research in the ocean sciences community. These skills are indispensable for modern-day oceanographers to tackle complex scientific questions by harnessing the data revolution. Oceanhackweek differs from traditional academic conferences and one-off hackathons by its immersive curriculum, collaborative learning environment, and a set of carefully crafted participant selection criteria that helps promote diversity and inclusivity. These designs help spurs collaborative interdisciplinary ideas and help ingest best data science practices into ocean sciences. The hackathon will focus on a variety of ocean data, including data from the Ocean Observing System, an ocean data facility supported by the National Science Foundation's Division of Ocean Sciences. Other databases that will be used include the CLIVAR and Carbon Hydrographic Data Office (CCHDO) and Rolling Deck to Repository (R2R) database. Oceanhackweek focuses not only on promoting data science literacy but also on building an inclusive and cohesive community of oceanographers for learning and sharing. The hackathon opportunity will be advertised nationally and internationally in traditional academic venues and via social media. Participants will be selected by an advisory committee that will seek to create a diverse community of ocean data users. The organizers plan to encourage and empower participants to bring the skills gained and the sense of community formed during the hackweek back to their own labs and institutions. Beyond the intensive in-person workshop, Oceanhackweek tutorials will be maintained as persistent open online resources to allow anyone to partake and self-learn.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
EAGER: Developing a temporally adaptive decomposition framework for analyzing long-term echosounder time series
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批准号:1849930
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项目类别:Standard Grant
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资助金额:$28.16万
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财政年份:2019
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负责人:Wu-Jung Lee
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依托单位:
海外基金