Collaborative Research: CYBER Training: CIU: Data Streams, Model Workflows, and Educational Pipelines for Hydrologic Sciences

合作研究：网络培训：CIU：水文科学的数据流、模型工作流程和教育管道

• 批准号: 1829744
• 负责人: Anthony Castronova
• 金额: $ 5.35万
• 依托单位: Consortium of Universities for the Advancement of Hydrologic Sci
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1829744&HistoricalAwards=false
• 关键词: Collaborative; Research; CYBER; Training; CIU

Studies of water and environmental systems are becoming increasingly complex and require integration of knowledge across multiple domains. At the same time, technological advances have enabled the collection of massive quantities of data for studying earth system changes. Fully leveraging these datasets and software tools requires fundamentally new approaches in the way researchers store, access and process data. The project serves the national interest by motivating a culture shift within the hydrologic and more broadly earth science communities toward open and reproducible software practices that will enhance interdisciplinary collaboration and increase capacity for addressing complex science challenges around the availability, risks and use of water. Project's CyberTraining approach provides virtual learning experiences throughout an academic year, with online learning modules oriented around a one-week in-person workshop (WaterHackWeek) that will focus on hands-on real-world research projects. These research projects are designed to serve the national interest by preparing for natural hazards such as floods, hurricanes and climate change, and to advance the nation's health by making tools and data accessible to health researchers, local governments, and citizens.New cyberinfrastructure that emphasizes data sharing and open, reproducible software practices is currently in development, but requires a mode of knowledge transfer, or CyberTraining, that extends beyond currently available university curriculum. Project's aim is to ensure successful use of community cyberinfrastructure to 1) publish large datasets, 2) run numerical models, 3) organize collaborative research projects, and 4) meet journal requirements to follow open data standards. The activities take advantage of HydroShare, a National Science Foundation funded cyberinfrastructure platform, operated by the Consortium of Universities Allied for Hydrologic Sciences (CUAHSI), for sharing hydrologic data and models. The short-term goals are to develop new CyberTraining modules; the long-term goals are to have an annually recurring WaterHackWeek, to distribute curriculum CUAHSI to more than 130 member universities, and advance cyberinfrastructure education for the broader geoscience community. The use of the hackweek educational model extends the use of cyberinfrastructure to promote the progress of science by including a specific emphasis on graduate student training as instructors, training coordinators, and building research networks with data providers who are stakeholders outside of academia. For example, case studies include data and resource management by Native American tribal governments, Hurricane Maria data archive for research in Puerto Rico, improving flood forecasting, and tool-building using complex numerical models such as the National Water Model. This project allows to test the educational model in the water research community, in addition to connecting team's research and curriculum to annually recurring hackweeks in neuro, astro, ocean, and geo sciences. The team of researchers is actively engaged in experimenting with this new model, and in testing its efficacy through robust evaluation metrics. The proposed activities encourage collaboration and support for use of cyberinfrastructure at all stages of the educational pipeline and provides participants with opportunities for networking, career development, community building and design of open-source software tools.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.

水和环境系统的研究正变得越来越复杂，需要跨多个领域的知识整合。与此同时，技术的进步使人们能够收集大量数据来研究地球系统的变化。充分利用这些数据集和软件工具需要研究人员在存储、访问和处理数据方面采取全新的方法。该项目通过激励水文和更广泛的地球科学界向开放和可复制的软件实践的文化转变来服务于国家利益，这将加强跨学科合作，并提高解决围绕水的可用性，风险和使用的复杂科学挑战的能力。项目的网络培训方法在整个学年提供虚拟学习体验，在线学习模块围绕为期一周的面对面研讨会（WaterHackWeek）进行，重点是实践现实世界的研究项目。这些研究项目旨在通过为洪水、飓风和气候变化等自然灾害做好准备来服务于国家利益，并通过向卫生研究人员、地方政府和公民提供工具和数据来促进国家健康。新的网络基础设施强调数据共享和开放，可复制的软件实践目前正在开发中，但需要一种知识转移模式，即网络培训，这超出了现有的大学课程。 该项目的目标是确保社区网络基础设施的成功使用，以1）发布大型数据集，2）运行数值模型，3）组织合作研究项目，以及4）满足期刊要求，以遵循开放数据标准。这些活动利用国家科学基金会资助的网络基础设施平台HydroShare，由水文科学大学联盟（CUAHSI）运营，用于共享水文数据和模型。 短期目标是开发新的网络培训模块;长期目标是每年举办一次WaterHackWeek，向130多所成员大学分发CUAHSI课程，并为更广泛的地球科学界推进网络基础设施教育。黑客周教育模式的使用扩展了网络基础设施的使用，以促进科学的进步，包括特别强调研究生培训作为讲师，培训协调员，并与学术界以外的利益攸关方数据提供者建立研究网络。例如，案例研究包括美洲原住民部落政府的数据和资源管理，用于波多黎各研究的飓风玛丽亚数据档案，改进洪水预报，以及使用国家水模型等复杂数值模型的工具建设。 这个项目允许在水研究社区测试教育模式，除了将团队的研究和课程与神经，天文，海洋和地球科学的年度重复黑客周联系起来。研究团队正在积极参与这种新模型的实验，并通过强大的评估指标测试其有效性。建议的活动鼓励合作和支持在教育管道的所有阶段使用网络基础设施，并为参与者提供网络，职业发展，社区建设和开源软件工具设计的机会。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。