Cybertraining: Pilot: Collaborative Research: Cybertraining for Earth Surface Processes Modelers

网络培训：试点：协作研究：地球表面过程建模者的网络培训

• 批准号: 1924185
• 负责人: Nicole Gasparini
• 金额: $ 2.15万
• 依托单位: Tulane University
• 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
• 起止时间: 2019-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1924185&HistoricalAwards=false
• 关键词: Cybertraining; Pilot; Collaborative; Research; Earth

Living sustainably on a rapidly changing planet is one of the greatest modern scientific and societal challenges. One critical aspect of global change involves the earth's surface itself: the rearrangement of its landforms, soils, and sediments by processes such as landslides, debris flows, floods, and coastal erosion. The Community Surface Dynamics Modeling System, CSDMS, creates cyberinfrastructure to enable advanced numerical models of the earth's surface, its changes through time, and the influence of human activity. However, traditional earth science education does not usually equip students with skills to become effective cyberinfrastructure users and cyberinfrastructure contributors. In order to develop innovative models for analyzing and predicting how the earth's surface responds to environmental change and human influence, the earth surface processes (ESP) modeling community needs a platform to teach modern programming practices and High Performance Computing methods. This project implements a 10-day Cyberinfrastructure in Earth Surface Processes Institute (ESPIn) for graduate students, postdoctoral fellows and early career faculty at the CSDMS Integration Facility at the University of Colorado in Boulder in the summers of 2020-2021 trains the next generation to be innovators. ESPIn aims to transcend the traditional model of department-based graduate education through interdisciplinary, problem-based, "Just in Time Teaching" of model use and development. Over forty participants, selected from diverse disciplinary backgrounds with explicit slots reserved for underrepresented minorities, gain direct experience in converting their research codes into open-source distributed software. ESPIn hosts developed lesson material in online open access educational repositories. ESPIn helps to train a new generation of computationally savvy, integrative scientists, while accomplishing major community science priorities. This project thus serves the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national prosperity and welfare by building a capable geoscience workforce.The Earth Surface Processes Institute (ESPIn) is a 10-day immersive experience for graduate students, postdoctoral fellows and early career faculty, allowing them to make advances on critical earth surface processes research questions with state-of-the-art modeling tools. This project targets learners who would benefit from critical knowledge, skills, and tools to become better cyberinfrastructure users and developers through a careful, inclusive selection procedure. This project aims to help make scientific advances in the study of Earth Surface Processes (ESP) that leverage the powerful and advanced capabilities of new cybertools, such as the Python Modeling Tool. To these ends, the primary objective is to expand the use of cyberinfrastructure among members of the ESP research community with training that (1) increases their competence and confidence with using cyberinfrastructure tools, methods, and resources and (2) moves the larger ESP community towards more widely adopting tools to advance the fundamental science of predicting surface change. Experienced scientists, visiting faculty, and software engineers assist with training and mentoring of the participants. ESPIn offers hands-on training in best programming practices, numerical methods, open source software development, advanced use of version control systems, writing unit tests, HPC-based sensitivity testing and model uncertainty quantification techniques. Several days are dedicated to working collaboratively on research and coding projects. Participants work on developing their own codes, with the intent of making codes more robust and compliant with existing ESP CI frameworks. The Summer Institute is quantitatively evaluated for learning efficacy and evaluations are used to iterate on lesson material quality. ESPIn provides all developed lesson material as online learning and teaching modules and broadly advertises these resources to the geoscience community.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.

在迅速变化的星球上可持续生活是最大的现代科学和社会挑战之一。全球变化的一个关键方面涉及地球的表面本身：通过滑坡，碎屑，洪水，洪水和沿海侵蚀的过程，其地形，土壤和沉积物的重新排列。社区表面动力学建模系统CSDM会创建网络基础结构，以实现地球表面的高级数值模型，其随着时间的流逝而变化以及人类活动的影响。但是，传统的地球科学教育通常不会为学生提供有效的网络基础设施使用者和网络基础设施贡献者的技能。为了开发创新的模型，用于分析和预测地球表面如何应对环境变化和人类影响，地球表面过程（ESP）建模社区需要一个平台来教授现代编程实践和高性能计算方法。该项目为研究生，博士后研究员和早期职业教师在COSDMS综合设施中实施了10天的Cyber​​inFrasture，在2020-2021夏季，下一代是Innovators的CSDMS整合设施的早期职业教师。 ESPIN旨在通过跨学科的，基于问题的“正义教学”模型使用和开发的“正义教学”超越基于部门的研究生教育的传统模型。超过四十名参与者，从不同的纪律背景中选出，这些参与者为代表性不足的少数族裔保留了明确的老虎机，从而获得了将其研究代码转换为开源分布式软件的直接经验。 Espin主持人在在线开放访问教育存储库中开发了课程材料。 ESPIN帮助培训新一代精通计算的综合科学家，同时完成社区科学的重点。正如NSF的使命所指出的那样：促进科学的进步；通过建立有能力的地球科学劳动力来促进国家的繁荣和福利。地面表面流程研究所（ESPIN）是研究生，博士后研究员和早期职业教师的10天沉浸式体验，使他们能够通过先进的建模工具来促进关键的接地过程研究问题。该项目针对的是学习者，他们将从批判性的知识，技能和工具中受益，通过仔细，包容的选择程序成为更好的网络基础设施使用者和开发人员。该项目旨在帮助实现科学进步研究地球表面过程（ESP），以利用新Cyber​​tools（例如Python建模工具）的强大和先进功能。为此，主要目标是通过培训扩大ESP研究社区成员之间网络基础设施的使用，（1）通过使用网络基础架构工具，方法和资源来提高其能力和信心，并将较大的ESP社区转移到更广泛地采用更广泛的工具，以推进预测表面变化的基本科学。 经验丰富的科学家，访问教师和软件工程师协助对参与者进行培训和指导。 ESPIN在最佳编程实践，数值方法，开源软件开发，版本控制系统的高级使用，编写单元测试，基于HPC的灵敏度测试和模型不确定性量化技术方面提供动手培训。几天致力于在研究和编码项目上合作。参与者致力于制定自己的代码，以使代码更加强大并符合现有的ESP CI框架。定量评估夏季研究所的学习功效，评估用于迭代课程材料质量。 ESPIN提供了所有开发的课程材料，因为在线学习和教学模块并将这些资源广泛地宣传给地球科学社区。该奖项反映了NSF的法定任务，并且使用基金会的智力优点和更广泛的影响评估标准，被认为值得通过评估来获得支持。