CC*IIE Region: Leveraging Partnerships Across the Great Plains to Build Advanced Networking and CI Expertise

重大科学突破是由科学家团队通过美国和全球研究网络进行远程合作，并访问分布式数据集和先进工具完成的。随着新的网络基础设施技术的出现，以满足科学界日益增长的需求，美国机构的校园人员必须学习和采用新技术，以使美国科学家保持竞争力。这种需求延伸到规模较小的学院和大学，在那里，尖端的专业知识可能不太容易获得。在这个项目中，大平原网络正在与专家合作，以提高堪萨斯州、密苏里州、内布拉斯加州、俄克拉荷马州和南达科他州校园的知识、专业知识和研究网络基础设施。合作伙伴包括KanREN、MOREnet、OneNet、Reed Network、Network Nebraska、Internet2、ESnet、芝加哥大学和俄克拉荷马大学。项目目标包括制定基准并定期重新评估该地区校园在实施现有和新兴网络基础设施技术方面的进展，开发和提供在线课程以提高专业知识，为校园参与者创造向先进网络基础设施和网络技术领导者学习的机会。向校园提供外展服务，并建立一个支持和鼓励新技术实施的社区。该项目通过在整个项目生命周期内活跃校园参与者数量的增长、参与项目的独特校园数量的增长、参与者对培训中涵盖的先进技术概念的掌握以及实施这些特定技术的校园数量的增加来衡量进展。该项目有望直接惠及物理学、生物信息学、气候建模和天气预报领域的科学家。

Major scientific breakthroughs are accomplished by teams of scientists working together, remotely, and accessing distributed datasets and advanced tools via the United States and global research networks. As new cyberinfrastructure technologies emerge to meet the growing needs of the science community, campus personnel at U.S. institutions must learn and adopt the new technologies for U.S. scientists to remain competitive. This need extends to smaller colleges and universities where cutting edge expertise may be less readily available.For this project, the Great Plains Network is partnering with experts to improve knowledge, expertise and research cyberinfrastructure at campuses in Kansas, Missouri, Nebraska, Oklahoma and South Dakota. Partners are KanREN, MOREnet, OneNet, Reed Network, Network Nebraska, Internet2, ESnet, University of Chicago and University of Oklahoma. Project objectives include benchmarking and periodically reassessing progress of campuses in the region toward implementing existing and emerging cyberinfrastructure technologies, developing and delivering an online curriculum to improve expertise, creating opportunities for campus participants to learn from leaders in advanced cyberinfrastructure and network technologies, providing outreach to campuses and building a community of support and encouragement for the implementation of new technologies. The project measures progress by growth in the number of active campus participants across this project's lifespan, growth in the number of unique campuses participating in the project, participant mastery of advanced technology concepts covered in training, and an increase in number of campuses implementing these specific technologies.This project promises to directly benefit scientists in the fields of physics, bioinformatics, climate modeling, and weather forecasting.