CC* Team: CAREERS: Cyberteam to Advance Research and Education in Eastern Regional Schools

CC* 团队：职业：网络团队推进东部地区学校的研究和教育

• 批准号: 2018873
• 负责人: Andrew Sherman
• 金额: $ 139.98万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018873&HistoricalAwards=false
• 关键词: CC; Team; CAREERS; Cyberteam; Advance

Given the pivotal role of data and cyberinfrastructure (CI) in scientific discovery and teaching, it is essential that all small and mid-sized institutions be empowered to fully exploit them. Access to physical infrastructure is certainly required, but researchers also need access to “Research Computing Facilitators” (RCFs) possessing the mix of technical knowledge and interpersonal skills required to help them use CI resources effectively. This poses challenges for smaller institutions, since RCFs are in short supply and are difficult to recruit and retain. Moreover, institutions can often afford only one or two, making it challenging to support diverse scientific disciplines. This project is developing a sustainable distributed approach to address these challenges in six Eastern states, facilitated by the Eastern Regional Network, a nascent, but growing collaboration among this project’s seven anchor institutions, other institutions in the Eastern US, and the area’s regional network providers. The project strategy has two principal legs: (1) expanding the RCF talent pipeline by engaging students at smaller institutions in nearly 70 project-based mentored experiential learning opportunities; and (2) developing a regional RCF pool providing CI facilitation across institutional and geographic boundaries. Success of this project directly enhances scientific research at smaller institutions. The regional RCF pool enables researchers to access appropriate expertise without the costs and delays of building an institutional RCF team. The experiential training approach exposes a relatively large, diverse group of students to the RCF profession, yielding opportunities to encourage trainees, especially in underrepresented groups, to pursue RCF careers.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.

鉴于数据和网络基础设施（CI）在科学发现和教学中的关键作用，所有中小型机构都必须有能力充分利用它们。访问物理基础设施当然是必需的，但研究人员还需要访问“研究计算促进者”（RCF）拥有的技术知识和人际交往能力的组合，以帮助他们有效地使用CI资源。这给较小的机构带来了挑战，因为区域合作框架供应不足，难以征聘和留住。此外，各机构往往只能负担一两个，因此难以支持不同的科学学科。该项目正在开发一种可持续的分布式方法，以应对东部六个州的这些挑战，由东部区域网络提供便利，这是该项目的七个锚机构，美国东部的其他机构和该地区的区域网络提供商之间的一个新兴但不断增长的合作。该项目战略有两个主要方面：（1）扩大区域合作框架人才管道，让较小机构的学生参与近70个基于项目的辅导体验式学习机会;（2）建立区域合作框架人才库，跨机构和地理界限提供传播和信息便利。该项目的成功直接促进了较小机构的科学研究。区域合作框架人才库使研究人员能够获得适当的专门知识，而无需建立一个机构性区域合作框架团队的费用和延误。体验式培训方法使相对较大的多样化学生群体接触到RCF专业，从而为鼓励学员，特别是代表性不足的群体，追求RCF职业提供了机会。该奖项反映了NSF的法定使命，并通过使用基金会的智力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

Optimization of vaccination for COVID-19 in the midst of a pandemic

• DOI: 10.3934/nhm.2022016
• 发表时间: 2022-03
• 期刊: Networks Heterog. Media
• 作者: Qi Luo;R. Weightman;Sean T. McQuade;Mateo-Berganza Diaz;Emmanuel Tr'elat;William Barbour;D. Work;S. Samaranayake;B. Piccoli

Quantum Machine Learning Classifier

量子机器学习分类器

• DOI: 10.1007/978-3-030-98012-2_34
• 发表时间: 2022
• 期刊: Volume 1
• 作者: Leider, Avery;Jaoude, Gio Abou;Strobel, Abigail E.;Mosley, Pauline
• 通讯作者: Mosley, Pauline

The Connect.Cyberinfrastructure Portal

Connect.网络基础设施门户

• DOI: 10.1145/3437359.3465606
• 发表时间: 2021
• 期刊: PEARC '21: Practice and Experience in Advanced Research Computing
• 作者: Ma, Julie;Akbar, Sarah;Battelle, Torey;Brandt, Kevin;Brown, Eric;Brunson, Dana;Chakravorty, Dhruva;Cheatham, Thomas;Chitre, Bhushan;Del Del Maestro, Adrian
• 通讯作者: Del Del Maestro, Adrian

Leveraging Northeast Cyberteam Successes to Build the CAREERS Cyberteam Program: Initial Lessons Learned

利用东北网络团队的成功建立职业网络团队计划：初步经验教训

• DOI: 10.22369/issn.2153-4136/13/1/7
• 发表时间: 2022
• 期刊: The Journal of Computational Science Education
• 作者: Sherman, Andrew;Goodhue, John;Ma, Julie;Nelson, Kaylea;Brown, Eric;Carothers, Christopher;Collier, Galen;Del Maestro, Adrian;Elledge, Andrea;Figurelle, Wayne
• 通讯作者: Figurelle, Wayne

Comparing Quantum Computing Platforms

比较量子计算平台

• DOI: 10.1007/978-3-030-98012-2_32
• 发表时间: 2022
• 期刊: Volume 1
• 作者: Agarwal, Siddh;Jaoude, Gio Abou;Leider, Avery;Tappert, Charles C.
• 通讯作者: Tappert, Charles C.