NSF Convergence Accelerator: NERIED Fall Meeting

当代科学中最重要的发现越来越多地来自数据驱动的方法。这些方法中的技能和知识将在21世纪世纪STEM学习以及解决公平问题方面发挥重要作用。天文学和地球科学是青年学生非常感兴趣的领域，因此可以作为数据教学的切入点。本次研讨会的一个重要目标是启动一个新的地球空间研究，教育和数据创新网络（NEREID），以帮助阐明一个可行的，公平的和包容性的道路，为终身学习者的地球和空间数据科学素养。此外，这些研究结果也有可能转移到其他学科的数据学习中，为此，联合大学公司将组织一次远景规划和能力建设讲习班，以发展地球空间研究、教育和数据创新网络，支持地球空间科学的大规模融合工作。NEREID将包括来自学术界、工业界和研究界的成员。该讲习班的目标是让学习者和决策者参与与地球空间科学有关的专题，并将围绕数据和相关工具的使用建立一个实践社区。讲习班将汇集各种利益攸关方，以便建立一个地球-空间数据科学学习和实践跨学科实践社区。这样一个社区将有助于开发和传播利用地球空间数据进行教学的最佳做法和课程资源;征求不同的观点，并使代表性不足的群体享有权利;查明知识和政策差距，并制定将更有效地弥补这些差距的战略;并概念化相关的NSF融合加速器活动NEREID研讨会将帮助定义研究，资源，这些数据和工具最适合于围绕空间和地球数据建立趋同，并将开始为推进这项工作制定设计方案。研讨会将产生一份白色文件和路线图，阐述应用数据科学推进NSF在地球和空间科学方面的重要优先事项的可行性。它将解决理解上的差距和更好地促进跨学科科学知识融合的进程中的差距，特别侧重于学习社区。研讨会的成果将与NEREID社区及其他社区广泛分享。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。

Increasingly, the most important discoveries in contemporary science are emerging from data-driven approaches. Skills and knowledge in these approaches will play a significant role in 21st century STEM learning, as well as in addressing issues of equity. Astronomy and Earth sciences are areas of significant interest to young learners, and as such, can serve as entry points for teaching and learning with data. An important goal of this workshop is to launch a new Network for Earth-space Research, Education and Innovation with Data (NEREID), to help articulate an actionable, equitable and inclusive path toward Earth and space data science literacy for lifelong learners. In addition, these findings are likely to be transferable to data learning in other disciplines as well.In support of this, the Associated Universities, Incorporated (AUI) will organize a visioning and capacity-building workshop to develop the Network for Earth-space Research, Education and Innovation with Data to support large-scale convergence efforts in Earth-Space sciences. NEREID will include members from academia, industry and research communities. It will have the goal of engaging learners as well as policymakers in topics related to Earth-Space sciences and will build a community of practice around the use of data and related tools. The workshop will bring together a variety of stakeholders in order to build an interdisciplinary community of practice in Earth-Space data science learning and practice. Such a community would help develop and disseminate best practices and curricular resources in teaching and learning with Earth-space data; elicit diverse points of view and enfranchise underrepresented groups; identify knowledge and policy gaps and develop strategies that will more effectively address those gaps; and conceptualize a related NSF Convergence Accelerator activityThe NEREID workshop will help define the kinds of research, resources, data and tools that are best suited to building convergence around space and Earth data and will begin to lay out the design for the advancement of that work. The workshop will produce a white paper and roadmap articulating the feasibility for applying data science to advancing the important NSF priorities in Earth and space sciences. It will address gaps in understanding and gaps in processes for better advancing the convergence of scientific knowledge across these disciplines, focusing especially on learning communities. The workshop outcomes will be shared broadly with the NEREID community and beyond. One of the goals is to also help define a process that may inform other convergence efforts as well.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.