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
• 负责人: Jennifer Balch
• 金额: $ 2000万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2153040&HistoricalAwards=false
• 关键词: Full; Proposal; Environmental; Data; Science

The Environmental Data Science Innovation & Inclusion Lab (ESIIL) is a next-generation NSF synthesis center led by the University of Colorado Boulder in collaboration with NSF’s CyVerse at the University of Arizona and the University of Oslo. ESIIL enables a global community of environmental data scientists to leverage the wealth of environmental data and emerging analytics to develop science-based solutions to solve pressing challenges in biology and other environmental sciences. ESIIL holds inclusion as a core principle and method for diversifying environmental data science at a time when society needs all perspectives, and science needs to serve all. ESIIL’s research community generates discoveries and novel approaches through: 1) cutting-edge team science, 2) innovative tools and collaborative cyberinfrastructure, 3) data science education and training, and 4) building inclusive participation and diverse groups. These activities advance the frontier of environmental data science, a rapidly evolving discipline bridging the computational, biological, environmental, and social sciences. ESIIL’s open Collaborative and Scalable Environment (CASE) cyberinfrastructure lowers barriers to scientific collaboration through tailored user experience, seamless connection to critical data sources, and premier cloud computing. ESIIL’s education program facilitates broad access to environmental data science skills and helps develop the next-generation data-capable workforce. Partnerships with Tribal Colleges and Minority-Serving Institutions increases data skills and knowledge sharing among underrepresented groups. The ESIIL Network, a diverse community of over 2,000 researchers and students, is a 21st-century team committed to generating data-inspired discoveries that enhance societal and ecosystem resilience. ESIIL’s vision is that cultivating a diverse and inclusive community of practice is needed to produce innovative breakthroughs in environmental data science. Innovation Summits explore Grand Challenges such as continental-scale ecology, artificial intelligence for the Earth, environmental justice and big data, and adapting to our changing world. Incubator Working Groups, postdocs, and large-team collaborations generate new discoveries, and cross-sector partnerships catalyze use-inspired research through Innovation Summits and Earth Hackathons. ESIIL collaborations include industry, government, and non-profit partners, facilitating the co-production of science that has environmental policy, management, and technological applications. The National Ecological Observatory Network (NEON), Long Term Ecological Research (LTER) network, and the Critical Zone Collaborative Network (CZ Net) are strategic data partners. ESIIL facilitates best practices in team science and conducts basic research on the correlates of scientific productivity and creativity within diverse scientific teams. ESIIL accelerates scientific inquiry by supporting community-developed and high-value software and data cubes bridge, for example, ground, airborne, and satellite data from diverse observatories and platforms. These tools, curated datasets, and reproducible and reusable workflows are deployed on ESIIL’s open cyberinfrastructure. The ESIIL Stars internship program supports students and faculty members from institutions that promote underrepresented groups in STEM, providing data skills training, research experience, and career mentorship. Initial partners include Oglala Lakota College, United Tribes Technical College, and Metropolitan State University of Denver. The ESIIL Leaders program supports emerging scientists from underrepresented communities by fostering leadership skills in environmental data science and team science. Culturally-relevant curricula inform training modules along with an open textbook that introduces novel analytics for environmental data. By hosting open education resources on an existing learning portal, with a following of over 200,000 users per month, ESIIL education scales to a global audience.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.

环境数据科学创新与包容性实验室（ESIIL）是科罗拉多大学博尔德大学（University of Colorado Boulder）领导的下一代NSF合成中心，与NSF的cyverse在亚利桑那大学和奥斯陆大学合作。 ESIIL使全球环境数据科学家社区能够利用大量的环境数据和新兴的分析来开发基于科学的解决方案，以解决生物学和其他环境科学方面的紧迫挑战。 Esiil将包容性作为在社会需要所有观点的时候多元化环境数据科学多样化的核心原则和方法，而科学需要为所有人服务。 Esiil的研究社区通过：1）最先进的团队科学生成发现和新颖的方法，2）创新工具和协作网络基础设施，3）数据科学教育和培训，以及4）建立包容性参与和潜水团体。这些活动推进了环境数据科学的前沿，这是一项迅速发展的纪律，桥接了计算，生物学，环境和社会科学。 Esiil开放的协作和可扩展的环境（情况）网络基础设施通过量身定制的用户体验，与关键数据源的无缝连接以及主要的云计算来降低科学合作的障碍。 Esiil的教育计划的最爱广泛访问环境数据科学技能，并有助于发展下一代具有数据能力的劳动力。与部落学院和少数民族服务机构的合作伙伴关系增加了代表性不足的群体之间的数据技能和知识共享。 Esiil Network是一个由2,000多名研究人员和学生组成的多样性社区，是一支21世纪的团队，致力于生成具有数据启发的发现，以增强社会和生态系统的弹性。 Esiil的愿景是，需要在环境数据科学领域培养潜水员和包容性的实践社区。创新峰会探讨了诸如持续规模的生态学，地球人工智能，环境正义和大数据等巨大挑战，并适应了我们不断变化的世界。孵化器工作组，博士后和大型团队合作产生了新的发现，跨部门合作伙伴关系通过创新峰会和地球黑客马拉松促进了使用使用启发的研究。 ESIIL合作包括行业，政府和非营利合作伙伴，支持具有环境政策，管理和技术应用的科学的共同制作。国家生态观测网络（NEON），长期生态研究（LTER）网络和关键区域协作网络（CZ NET）是战略数据合作伙伴。 ESIIL促进了团队科学中的最佳实践，并就科学生产力和在潜水员科学团队中的创造力的相关性进行基础研究。 Esiil通过支持社区开发的高价值软件和数据方块桥，例如地面，机载和卫星数据来加速科学询问。这些工具，策划的数据集以及可重复的和可重复使用的工作流程在Esiil开放的Cyber​​infradstructure上部署。 ESIIL明星实习计划为促进STEM中代表性不足的机构的学生和教职员工提供支持，提供数据技能培训，研究经验和职业心态。最初的合作伙伴包括奥格拉拉·拉科塔学院，联合部落技术学院和丹佛大都会州立大学。 ESIIL领导者计划通过培养环境数据科学和团队科学领域的领导能力来支持来自代表性不足社区的新兴科学家。与文化相关的课程信息培训模块以及一本开放的教科书，介绍了新颖的环境数据分析。通过在现有的学习门户网站上托管开放的教育资源，每月有超过200,000个用户，Esiil Education将扩展到全球受众。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响评估标准来评估值得支持。