HDR DSC: Earth Data Science Corps - Fulfilling Workforce Demand at the Intersection of Environmental Science and Data Science

该项目旨在为数据科学教育开发一个开放、可扩展和适应性强的模型，以满足对21世纪地球和环境科学数据能力劳动力日益增长的需求。该模型将围绕地球数据科学（DS）的在线教育框架构建。地球数据科学团（EDSC）框架包括模块化课程，交互式开放教科书，实习以及合作学院教师和讲师的研讨会。博尔德的科罗拉多大学作为协调组织，将与作为执行机构的联合部落技术学院、奥格拉拉拉科塔学院、前岭社区学院、丹佛大都会州立大学密切合作。该项目服务于科学领域代表性不足的学生，包括西班牙裔，部落，社区学院和非传统学生。EDSC计划为社区提供两个开放工具。第一个将使评分学生编码作业更容易。第二个将使分析评价调查数据更有效率。一个公开的在线讨论论坛将为实施机构的学生提供社区支持。此外，它将促进教师之间关于向不同群体教授数据科学的挑战和机遇的讨论。这一努力将鼓励国家21世纪数据素养劳动力的多样性和公平机会，有助于弥合环境科学中的数据与知识差距。如果成功，它有可能揭示一些社会最紧迫的环境挑战的答案。该项目有两个目标。学生将获得数据科学知识，解决问题的技能，实践经验和严格的研究培训。教师有机会获得培训，使他们能够在自己的机构范围内建立数据科学能力。EDSC将围绕五个活动进行组织：1）由在线计算机处理能力（云计算）支持的模块化地球数据科学课程，伴随互动，免费在线教科书和自动评分平台; 2）教师和学生的数据技能和职业研讨会; 3）付费动手本科生实习; 4）教师讲师培训;和5）计划范围内的评估。如果成功，这些活动将使五所不同的高等教育机构根据其目前的能力采用不同的要素。该项目建立在科罗拉多大学地球实验室教育倡议的现有努力的基础上。课程材料的设计将考虑到便携性、可持续性和易于传播，以确保扩大其影响。他们将被评估可衡量的成果，并为支持非传统学生量身定制，这些学生构成了参与机构周围地区潜在数据科学劳动力的很大一部分。课程设置，包括职业发展网络研讨会、地球数据科学入门课程模块和讲师培训，将在EDS学习门户网站上发布，利用现有和快速增长的用户群。 EDSC计划直接支持75名本科生，培训15名数据密集型教学教师，并为五所院校的400名或更多参与者提供数据技能和职业发展培训。NSF的利用数据革命数据科学团计划侧重于在地方，州，国家和国际层面建设利用数据革命的能力，以帮助释放数据的力量，为科学和社会服务。该计划中的项目由NSF的利用数据革命大想法;信息和智能系统部计算机和信息科学与工程局;本科教育部教育和人力资源局;数学科学部数学和物理科学局;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。

This project aims to develop an open, scalable, and adaptable model for data science education to address the growing demand for a 21st-century data-capable workforce in Earth and Environmental Sciences. The model will be structured around an online educational framework for Earth Data Science (DS). The Earth Data Science Corps (EDSC) framework includes modular courses, an interactive open textbook, internships, and workshops for faculty and instructors from partner colleges. University of Colorado at Boulder as the coordinating organization will work closely with United Tribes Technical College, Oglala Lakota College, Front Range Community College, Metropolitan State University of Denver as implementing institutions. This project serves underrepresented students in the sciences including Hispanic, Tribal, community college, and non-traditional students. The EDSC plans to provide the community with two open tools. The first will make grading student coding assignments easier. The second will make analyzing evaluation survey data more efficient. A public, online discussion forum will provide students across implementing institutions with community support. Further, it will facilitate discussions between faculty on challenges and opportunities associated with teaching data science to diverse groups. This effort will encourage diversity and equitable opportunity in the national 21st-century data-literate workforce, contributing to bridging the data-to-knowledge gap in environmental science. If successful, it has the potential to reveal answers to some of society's most pressing environmental challenges. The objectives of this project are two-fold. Students will gain knowledge in data science, problem-solving skills, hands-on experience, and rigorous research training. Instructors to have access to the training that will enable them to build data science capacity in the context of their own institutions. EDSC will be structured around five activities: 1) a modular Earth Data Science course supported by online computer processing power (cloud computing), a companion interactive, free online textbook, and an autograding platform; 2) data skills and career workshops for teachers and students; 3) paid hands-on undergraduate student internships; 4) faculty instructor training; and 5) program-wide evaluation. If successful, these activities will allow five diverse higher education institutions to adopt different elements depending on their current capacity. The project builds on existing efforts of the University of Colorado Earth Lab Education Initiative. Curricular materials will be designed for portability, sustainability, and easy dissemination to ensure their expanded impact. They will be evaluated for measurable outcomes and tailored to support non-traditional students, who form a large portion of the potential data science workforce in the regions surrounding the participating institutions. Course curriculum, including career development webinars, Introduction to Earth Data Science course modules, and instructor training, will be published on the EDS Learning Portal, leveraging the existing and rapidly growing user base. The EDSC plans to directly support 75 undergraduate students, train 15 faculty in data-intensive teaching, and provide data skill and career-development training to 400 or more participants across the five institutions. NSF's Harnessing the Data Revolution Data Science Corps program focuses on building capacity for harnessing the data revolution at the local, state, national, and international levels to help unleash the power of data in the service of science and society. Projects in this program are being jointly funded by the NSF's Harnessing the Data Revolution Big Idea; the Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems; the Directorate for Education and Human Resources, Division of Undergraduate Education; the Directorate for Mathematical and Physical Sciences, Division of Mathematical Sciences; and the Directorate for Social, Behavioral and Economic Sciences, Office of Multidisciplinary Activities and Division of Behavioral and Cognitive Sciences.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.