NSF Convergence Accelerator: NERIED Fall Meeting

当代科学中最重要的发现越来越多地出现在数据驱动的方法中。这些方法的技能和知识将在21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年轻学习者非常感兴趣的领域，因此可以作为教与学数据的切入点。该讲习班的一个重要目标是启动一个新的地球-空间数据研究、教育和创新网络(Nereid)，以帮助为终身学习者阐明一条通向地球和空间数据科学素养的可行、公平和包容的道路。此外，这些研究成果可能也可用于其他学科的数据学习。为支持这一点，联合大学联合公司将组织一次展望和能力建设讲习班，用数据发展地-空间研究、教育和创新网络，以支持地-空间科学的大规模汇聚努力。Nereid将包括来自学术界、工业界和研究界的成员。它的目标是让学习者和政策制定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共同体。讲习班将使各种利益攸关方汇聚一堂，以便在地球-空间数据科学的学习和实践方面建立一个跨学科的实践共同体。这样一个社区将有助于制定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；激发不同观点并赋予代表性不足群体以选举权；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；以及构思相关的国家科学基金汇聚加速器活动Nereid讲习班将帮助确定最适合围绕空间和地球数据建立汇聚的研究、资源、数据和工具的种类，并将开始为推进这项工作进行设计。讲习班将编制一份白皮书和路线图，阐明将数据科学应用于推进国家科学基金会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进程中的差距，以便更好地促进科学知识在这些学科之间的融合，特别是侧重于学习社区。研讨会的成果将广泛地与Nereid社区和其他社区分享。其中一个目标是帮助定义一个可能也为其他融合工作提供信息的过程。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.