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

跨学科研究团队的效率往往受到研究人员召集具有所需科学专业知识的合作者队列的能力的限制。更甜蜜：西南地区在扩大培训、教育和研究方面的专门知识是一个资源网络，包括培训和人员，跨学科和机构开展协作和促进合作。Sweeter将来自多个州的非营利组织、社区学院、少数族裔服务机构、研究密集型大学和行业联合起来，发展这个研究网络。该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式来解决在共享资源方面遇到的长期问题，其中每个机构都是资源的提供者和接收者。来自不同站点的研究专家将在站点研讨会、更甜蜜的年度活动和在线途径上为领域科学家提供支持。为了鼓励这种关系，Sweeter提供了一个门户网站和共享的网络基础设施，这将有助于消除社区大学和较小机构面临的资源障碍。Sweeter通过提供远程和面对面的培训机会，并将其学习环境的要素传播到正式的课程努力，加强了为研究人员做准备的努力。重要的是，Sweeter采用了一种创新的评估战略来评估其在研究、培训和教育方面的成功。通过促进通过现有努力建立的多样化伙伴关系，甜蜜将大大扩大传统上代表性不足的人口在K-12、本科生和研究生学习水平上参与计算的范围。总而言之，甜蜜提供了一个灵活的、可移植的和可扩展的框架来发展实践社区，这将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审查标准进行评估，被认为值得支持。

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.