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

HDR DSC:地球数据科学军团 - 满足环境科学和数据科学交叉点的劳动力需求

基本信息

  • 批准号:
    1924337
  • 负责人:
  • 金额:
    $ 118.04万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing 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

项目摘要

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.
该项目旨在为数据科学教育开发开放,可扩展和适应能力的模型,以解决对地球和环境科学中21世纪具有数据能力劳动力的需求。该模型将围绕地球数据科学(DS)的在线教育框架进行结构。 Earth Data Science Corps(EDSC)框架包括模块化课程,互动式开放教科书,实习和教师的讲习班以及合作伙伴学院的讲师。科罗拉多大学博尔德大学的协调组织将与丹佛大都会州立大学前山脉社区学院奥格拉拉·拉科塔学院(Oglala Lakota College)与联合部落技术学院紧密合作。该项目为科学领域的人数不足提供服务,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。第一个将使学生编码分配更加容易。第二个将使分析评估调查数据更有效。一个公开的在线讨论论坛将为跨社区支持的跨机构提供学生。此外,它将促进有关教师在向不同群体教授数据科学相关的挑战与机会之间的讨论。这项努力将鼓励在21世纪国家数据识字劳动力中提供多样性和公平的机会,这有助于弥合环境科学中的数据对知识差距。如果成功的话,它有可能揭示一些社会最紧迫的环境挑战的答案。该项目的目标是两个方面。学生将获得数据科学,解决问题技能,动手经验和严格的研究培训方面的知识。讲师可以访问培训,以使他们能够在自己的机构的背景下建立数据科学能力。 EDSC将围绕五个活动进行结构:1)由在线计算机处理能力(云计算),伴侣交互式,免费的在线教科书和自动载体平台支持的模块化地球数据科学课程; 2)为教师和学生提供数据技能和职业讲习班; 3)付费动手的本科生实习; 4)教师教练培训; 5)整个程序评估。如果成功,这些活动将允许五个不同的高等教育机构根据目前的能力采用不同的要素。该项目以科罗拉多大学地球实验室教育计划的现有努力为基础。课程材料将设计用于可移植性,可持续性和易于传播,以确保其影响不断扩大。他们将评估可衡量的结果,并量身定制,以支持非传统学生,他们在参与机构围绕的地区构成了潜在的数据科学劳动力的很大一部分。课程课程,包括职业发展网络研讨会,地球数据科学课程模块概论和讲师培训,将在EDS学习门户网站上发布,利用现有且快速增长的用户群。 EDSC计划直接支持75名本科生,培训15位在数据密集型教学中的教职员工,并为五个机构的400名或更多参与者提供数据技能和职业发展培训。 NSF利用数据革命数据科学兵团计划着重于建立能力,以利用本地,州,国家和国际层面的数据革命,以帮助释放数据在科学和社会服务方面的力量。该计划中的项目是由NSF利用数据革命的重大想法共同资助的;计算机和信息科学与工程局,信息和智能系统部;教育和人力资源局,本科教育司;数学和物理科学局,数学科学部;以及社会,行为和经济科学局,多学科活动办公室以及行为和认知科学的划分。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响来通过评估来支持的。

项目成果

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Jennifer Balch其他文献

Fostering the Development of Earth Data Science Skills in a Diverse Community of Online Learners: A Case Study of the Earth Data Science Corps
在多元化的在线学习者社区中促进地球数据科学技能的发展:地球数据科学队的案例研究
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    N. Quarderer;Leah Wasser;A. Gold;Patricia Montaño;Lauren Herwehe;Katherine Halama;Emily Biggane;Jessica Logan;David Parr;Sylvia Brady;James Sanovia;C. Tinant;Elisha Yellow Thunder;Justina White Eyes;LaShell Poor Bear/Bagola;Madison Phelps;Trey Orion Phelps;Brett Alberts;Michela Johnson;Nathan Korinek;William Travis;Naomi Jacquez;Kaiea Rohlehr;Emily Ward;Elsa S. Culler;R. C. Nagy;Jennifer Balch
  • 通讯作者:
    Jennifer Balch

Jennifer Balch的其他文献

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{{ truncateString('Jennifer Balch', 18)}}的其他基金

Full Proposal: Environmental Data Science Innovation and Inclusion Lab (ESIIL): Accelerating Discovery by Fostering an Open and Diverse Earth Data Revolution
完整提案:环境数据科学创新与包容实验室(ESIIL):通过促进开放和多样化的地球数据革命加速发现
  • 批准号:
    2153040
  • 财政年份:
    2022
  • 资助金额:
    $ 118.04万
  • 项目类别:
    Cooperative Agreement
MRA: Macroscale Resilience: Assessing the recovery of western U.S. forests following compound disturbance by linking observations from trees to ecoregions
MRA:宏观恢复力:通过将树木观察结果与生态区联系起来,评估美国西部森林在复合干扰后的恢复情况
  • 批准号:
    2017889
  • 财政年份:
    2021
  • 资助金额:
    $ 118.04万
  • 项目类别:
    Continuing Grant
NEON Science Summit: Initiating grassroots research communities through an 'unconference'; Summer/Fall; Boulder, Colorado
NEON 科学峰会:通过“非会议”发起草根研究社区;
  • 批准号:
    1906144
  • 财政年份:
    2019
  • 资助金额:
    $ 118.04万
  • 项目类别:
    Standard Grant
CAREER: Fire impacts on forest carbon recovery in a warming world: training the next generation of Earth analysts by exploring a missing scale of observations
职业:在变暖的世界中火灾对森林碳恢复的影响:通过探索缺失的观测规模来培训下一代地球分析师
  • 批准号:
    1846384
  • 财政年份:
    2019
  • 资助金额:
    $ 118.04万
  • 项目类别:
    Continuing Grant

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HDR DSC: Collaborative Research: Creating and Integrating Data Science Corps to Improve the Quality of Life in Urban Areas
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