Collaborative Conference: A Workshop to Explore Data Science in Oceanography

合作会议：探索海洋学数据科学的研讨会

• 批准号: 2038697
• 负责人: Emilio Mayorga
• 金额: $ 4.25万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2038697&HistoricalAwards=false
• 关键词: Collaborative; Conference; Workshop; Explore; Data

Computational and data science skills have become essential in making scientific discoveries, especially in fields where the integration of diverse sources of observational and modeled data is required to understand the mechanisms and functions of complex systems, such as the Earth’s ocean. However, conventional ocean sciences education focuses predominantly on domain-specific knowledge and often falls short in explicitly incorporating these operational skills into the curriculum. The PIs will plan and host several workshops, a virtual workshop in 2020 and two in-person workshops in 2021, that aim to address this urgent need by combining immersive tutorials on state-of-the-art data science methodologies, peer-learning, and on-site collaborative hack project work in a 5-day intensive workshop. This is a domain-specific adaptation of the “hackweek” model, which has emerged in the computational data science community as a powerful model for educating new users, sharing technical expertise, and building an inclusive and cohesive community. The focus of the workshops is the use of ocean data, and specifically the use of data from the NSF-funded Ocean Observatories Initiative. The workshops, called "OceanHackWeek2020-2021", provide 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 spur collaborative interdisciplinary ideas and help promote best data science practices in ocean sciences. 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 organizers 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. By facilitating and catalyzing the growth and change of individuals through grassroot efforts that promote and embrace a diverse community, OceanHackWeek drives cultural change in the field of oceanography.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.

计算和数据科学技能在科学发现中变得至关重要，特别是在需要整合不同来源的观测和建模数据以了解复杂系统（如地球海洋）的机制和功能的领域。然而，传统的海洋科学教育主要侧重于特定领域的知识，往往福尔斯没有明确地将这些业务技能纳入课程。PI将计划和举办几个研讨会，2020年的一个虚拟研讨会和2021年的两个面对面研讨会，旨在通过在为期5天的密集研讨会中结合最先进的数据科学方法，同行学习和现场协作黑客项目工作的沉浸式教程来解决这一迫切需求。这是对“hackweek”模型的特定领域的适应，该模型在计算数据科学社区中已经成为教育新用户，分享技术专业知识以及建立包容性和凝聚力社区的强大模型。讲习班的重点是使用海洋数据，特别是使用由国家科学基金资助的海洋观测站倡议提供的数据。这些讲习班被称为“2020 -2021年海洋黑客周”，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个途径。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不同于传统的学术会议和一次性的黑客马拉松，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，并有助于促进海洋科学中的最佳数据科学实践。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。组织者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。除了密集的现场研讨会，OceanHackWeek教程将作为持久的开放在线资源进行维护，以允许任何人参与和自学。OceanHackWeek通过促进和拥抱多元化社区的基层努力来促进和催化个人的成长和变革，推动海洋学领域的文化变革。该奖项反映了NSF的法定使命，并通过使用基金会的知识产权进行评估而被认为值得支持。优点和更广泛的影响审查标准。