Collaborative Research: RET Site: Data Sciences and Data Fluency in Scientific Data Sets (DATA3)

合作研究：RET 站点：科学数据集中的数据科学和数据流畅性 (DATA3)

• 批准号: 2206886
• 负责人: Jason Wang
• 金额: $ 3.96万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2206886&HistoricalAwards=false
• 关键词: Collaborative; Research; RET; Site; Data

The DATA3 experience, a partnership between Montclair State University (MSU) and New Jersey Institute of Technology, is a new RET site focused on topics of applied data science, artificial intelligence, and software engineering research. The site will support middle school, high school, and community college educators from the Orange School District and Passaic County Community College in research experiences to explore these topics through access to the EarthCube Data Capabilities Group resources. The site will also support a pedagogical experience at MSU’s Red Hawk CS Lab, a summer camp experience in computational thinking for English learners (students who may not have English as their first language). In addition, the site will expand these professional education experiences to the larger MSU Network for Education Renewal, an already established education network at MSU servicing over 3000 teachers in northern New Jersey that reaches 260,000 students. The site will conclude with a conference to discuss Computer Science Education in Northern New Jersey, where K-12, Community Colleges and University Faculty can meet and discuss the pressing issues facing CS Education in New Jersey. A collaboration between MSU and NJIT through the EarthCube Data Capabilities Group will create resources for teachers in computer science education to help them explore exciting topics in the field. This program will help teachers explore the concepts of “Deep Learning”, an artificial intelligence technique used to try to mimic human learning. The site aims to further establish communication and collaboration between the K-14 computer science academic community and the MSU/NJIT computer science academic community. The site will engage in-service computer science teachers at the middle school, high school and community college level, with committed partners Orange School District and Passaic County Community College, in research in machine learning in scientific data sets, specifically solar weather data sets from the EarthCube research project. The experience will also guide them in distilling this experience into learning units for their classes through working with the Red Hawk Lab – a computational thinking camp for English learners.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.

DATA3体验是蒙特克莱尔州立大学（MSU）和新泽西理工学院之间的合作伙伴关系，是一个新的RET网站，专注于应用数据科学、人工智能和软件工程研究的主题。该网站将支持来自奥兰治学区和帕塞伊克县社区学院的初中、高中和社区学院的教育工作者，通过访问EarthCube数据能力组的资源来探索这些主题。该网站还将支持密歇根州立大学红鹰计算机科学实验室的教学体验，为英语学习者（可能不是英语为第一语言的学生）提供计算思维夏令营体验。此外，该网站将把这些专业教育经验扩展到更大的MSU教育更新网络，这是MSU已经建立的教育网络，为新泽西州北部的3000多名教师提供服务，覆盖26万名学生。该网站将以讨论新泽西州北部计算机科学教育的会议结束，在那里K-12，社区学院和大学教师可以会面并讨论新泽西州计算机科学教育面临的紧迫问题。密歇根州立大学和新泽西理工大学通过EarthCube数据能力小组的合作将为计算机科学教育的教师创造资源，帮助他们探索该领域令人兴奋的主题。该项目将帮助教师探索“深度学习”的概念，这是一种用于模仿人类学习的人工智能技术。该网站旨在进一步建立K-14计算机科学学术界与MSU/NJIT计算机科学学术界之间的沟通和合作。该网站将与奥兰治学区和帕塞伊克县社区学院的忠实合作伙伴一起，聘请初中、高中和社区大学的在职计算机科学教师，研究科学数据集中的机器学习，特别是来自EarthCube研究项目的太阳天气数据集。这段经历还将引导他们通过与红鹰实验室（一个为英语学习者提供计算思维的营地）的合作，将这段经历提炼成课堂上的学习单元。该奖项反映了美国国家科学基金会的法定使命，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。

项目成果

Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data with Deep Learning

• DOI: 10.1007/s11207-023-02180-z
• 发表时间: 2022-11
• 期刊: Solar Physics
• 影响因子: 2.8
• 作者: Haodi Jiang;Qin Li;Nian Liu;Zhihang Hu;Yasser Abduallah;J. Jing;Yan Xu;J. T. Wang;Haimin Wang

Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification

• DOI: 10.1029/2023sw003824
• 发表时间: 2024-02
• 期刊: Space Weather
• 作者: Yasser Abduallah;Khalid A. Alobaid;Jason T. L. Wang;Haimin Wang;V. Jordanova;Vasyl Yurchyshyn;Huseyin Cavus;Ju Jing