CyberTraining: CIU:Cross-disciplinary Training for Findable, Accessible, Interoperable, and Reusable (FAIR) science

解决与人口增长、粮食和水安全、频繁发生的自然灾害和气候变化相关的重大挑战不仅需要地球科学领域的专业知识，还需要处理大数据分析和模拟的计算（网络）技能。然而，在为学生提供网络培训方面存在许多挑战，包括教师的学习曲线陡峭、时间投入和培训材料资源缺乏。该项目以模块或实验室的形式为地球科学学生和工作专业人员创建网络培训计划，用于现有课程，独立的一学分课程，夏季讲习班和新兵训练营。学生将接受运行最先进的数值模型的培训，并使用先进的数据分析工具分析大量模拟和观测数据集。总体目标是培养新一代科学家来管理数据丰富和计算密集型的任务，使其在STEM领域具有全球竞争力，从而实现NSF促进科学进步的使命。该项目的培训部分将使用可查找、可访问、可互操作和可重用（FAIR）科学的最佳实践，使科学公开可用并透明地可复制。据估计，该项目的学员人数约为普渡大学的200名学生，以及普渡大学以外的400多名学生、教师和在职专业人士。该项目通过在包括普渡大学、新罕布什尔大学和阿拉巴马大学在内的多家机构开设课程、研讨会和新兵训练营，对学生和专业人员进行培训，将最先进的网络计算工具付诸实践。该项目创建了一个网络培训课程，以获取以下六个领域的专业知识为动力：数据访问、地理处理、时间序列分析、计算模拟、可视化和出版。这些领域构成了模块化网络培训框架的基础，支持开发和实施针对地球科学学习者的培训材料。创新之处在于，通过为学生和在职专业人员提供一系列灵活的培训选择，加强地球科学课程，将网络培训纳入其中。公平网络训练（FACT）奖学金将增强研究生的计算思维，并为挖掘最有才华的学生培养下一代精通网络的地球科学家创造途径。这种跨学科的合作，包括水文学、气候科学、计算机科学和教学设计专业知识，使全面的培训涵盖领域科学和计算技术。该奖项反映了美国国家科学基金会的法定使命，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。

Addressing the grand challenges associated with growing population, food and water security, frequently occurring natural disasters, and changing climate requires not only geoscience domain expertise, but also computational (cyber) skills to deal with big data analytics and simulations. However, many challenges exist in providing cyber training to students, including steep learning curve for instructors, time commitment and lack of resources in terms of training material. This project creates cyber training programs for earth science students and working professional in the form of modules or labs for use in an existing course, an independent one-credit course, summer workshops and boot camps. Students receive training in running state-of-the-art numerical models, and in analyzing massive simulated and observational data sets with advanced data analysis tools. The overall goal is to create a new generation of scientists to manage data-rich and computationally intensive tasks to become globally competitive in the STEM, thus fulfilling NSF's mission to promote the progress of science. The training component of the project will make the science openly available and transparently reproducible using the best practices in Findable, Accessible, Interoperable, and Reusable (FAIR) science. The estimated number of trainees from this project is approximately 200 students at Purdue and potentially more than 400 students, faculty and working professionals outside Purdue.This project brings cyber-enabled state-of-the-art computational tools into practice by training students and working professionals through courses, workshops and boot camps at multiple institutions, including Purdue University, University of New Hampshire and University of Alabama. The project creates a cyber training curriculum that is driven by the need to acquire expertise in the following six areas: data access, geo-processing, time series analysis, computational simulation, visualization and publication. These areas form the foundation of a modular cyber training framework that supports development and implementation of training materials targeting geoscience learners. The innovation lies in enhancing geosciences curriculum to include cyber training by providing a range of flexible training options for students and working professionals. A FAIR Cyber Training (FACT) Fellowship will enhance computational thinking among graduate students and create an avenue to tap the most talented students to train the next generation of cyber savvy earth scientists. This interdisciplinary collaboration from hydrology, climate science, computer science and instruction design expertise enables holistic training covering both domain science and computational technology.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.