CC* Team: SWEETER -- SouthWest Expertise in Expanding, Training, Education and Research

CC* 团队：SWEETER——西南航空在扩展、培训、教育和研究方面的专业知识

基本信息

批准号：
1925764
负责人：
Dhruva Chakravorty
金额：
$ 140万
依托单位：
Texas A&M University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-07-01 至 2024-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925764&HistoricalAwards=false
关键词：
CC Team SWEETER SouthWest Expertise

项目摘要

The efficacy of an interdisciplinary research team is frequently limited by a researcher's ability to draw together a cohort of collaborators with needed scientific expertise. SWEETER: South West Expertise in Expanding Training, Education and Research is a network of resources, both training and personnel, that collaborate and foster cooperation across the boundaries of disciplines and institutions. SWEETER unites not-for-profits, community colleges, minority serving institutions, research-intensive universities, and industry from multiple states to develop this research network. The collaboration leverages expertise in several facets of computational sciences to address long-standing issues encountered in sharing resources by employing a model of resource sharing where each institution is a provider and receiver of resources.Research specialists from various sites will support domain scientists at site workshops, SWEETER annual events, and online avenues. To encourage these relationships, SWEETER offers a web-portal and shared cyberinfrastructure that will help remove resource barriers faced by community colleges and smaller institutions. SWEETER strengthens efforts for researcher preparation by offering remote and in-person training opportunities, and propagating elements of its learning environment to formal curricular efforts. Importantly, SWEETER employs an innovative evaluation strategy to assess its successes in the aspects of research, training and education. By fostering diverse partnerships developed through existing efforts, SWEETER will significantly broaden the involvement of traditionally underrepresented populations in computing at the K-12, undergraduate and graduate levels of learning. In all, SWEETER offers a flexible, portable and scalable framework to develop communities of practice that will inform the design of future research networks.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.

跨学科研究团队的效率常常受到研究人员召集具有所需科学专业知识的合作者群体的能力的限制。 SWEETER：西南拓展培训、教育和研究方面的专业知识是一个培训和人员资源网络，可以跨学科和机构的界限进行协作和促进合作。 SWEETER 联合多个州的非营利组织、社区学院、少数族裔服务机构、研究密集型大学和工业界来发展这个研究网络。此次合作利用计算科学多个方面的专业知识，通过采用资源共享模型来解决共享资源中遇到的长期存在的问题，其中每个机构都是资源的提供者和接收者。来自各个站点的研究专家将在站点研讨会上为领域科学家提供支持、SWEETER 年度活动和在线渠道。为了鼓励这些关系，SWEETER 提供了一个门户网站和共享网络基础设施，这将有助于消除社区大学和小型机构面临的资源障碍。 SWEETER 通过提供远程和面对面培训机会，并将其学习环境的要素传播到正式课程中，加强了研究人员的准备工作。重要的是，SWEETER 采用创新的评估策略来评估其在研究、培训和教育方面的成功。通过通过现有努力培育多元化的合作伙伴关系，SWEETER 将显着扩大传统上代表性不足的人群在 K-12、本科生和研究生学习阶段的计算机领域的参与。总之，SWEETER 提供了一个灵活、可移植和可扩展的框架来开发实践社区，为未来研究网络的设计提供信息。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进行评估，被认为值得支持审查标准。

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Transitioning Education and Training to a Virtual World, Lessons Learned

将教育和培训转变为虚拟世界，经验教训

DOI：
10.22369/issn.2153-4136/12/2/3
发表时间：
2021-02
期刊：
The Journal of Computational Science Education
影响因子：
0
作者：
Dey, S. Charlie;Eijkhout, Victor;Koesterke, Lars;Powell, Je'aime;Lindsey, Susan;Gomez, Rosalia;Kuritz, Brandi;Freeze, Joshua
通讯作者：
Freeze, Joshua

Evaluating the Effectiveness of an Online Learning Platform in Transitioning Users from a High Performance Computing to a Commercial Cloud Computing Environment

评估在线学习平台在将用户从高性能计算环境过渡到商业云计算环境方面的有效性