Collaborative Research: CyberTraining: CIC: Framework for Integrated Research Software Training in High Energy Physics (FIRST-HEP)

高能物理（HEP）旨在通过使用大型设施，如瑞士欧洲粒子物理实验室（CERN）的大型强子对撞机（LHC）和计划于2020年代在伊利诺伊州费米实验室进行的长基线中微子设施（LBNF）和深地下中微子实验（DUNE），以及许多较小的实验，了解自然界的基本组成部分及其相互作用。这些实验产生越来越多的数据，并依赖于由数千万行代码组成的复杂软件生态系统，这些代码对于挖掘这些数据并产生物理结果至关重要。几十年来，人是开发、维护和发展HEP实验软件生态系统的关键。构建必要的软件需要具有HEP领域知识和高级软件技能的工作人员。高能物理综合研究软件培训框架（first - hep）项目提供了一条培训路径，从研究人员的第一步到对软件培训和劳动力发展的积极贡献。该项目符合国家科学基金会的使命，即通过培养受过网络基础设施培训的劳动力来促进科学进步，并在急需和追捧的软件培训方面影响STEM学科，从而符合国家利益。FIRST-HEP项目直接组织培训活动，并与合作伙伴合作，利用不同的现有努力并带来协同作用，以最大限度地发挥其集体影响。它汇集了来自社区的一组扩展的合作伙伴，不仅构建了缺少的基本培训元素，如Python， git和Unix的入门编程技能，还构建了像ROOT这样的HEP数据格式的使用，以及高级主题，包括并行编程，性能调优，机器学习和数据科学。它的工作是围绕软件培训材料建立一个讲师和实验社区，并转变HEP研究软件培训的方法。它为未来几年运行和规划HEP设施和实验的网络基础设施挑战提供了所需的劳动力。FIRST-HEP教育和培训活动包括教育少数民族HEP， K- 12教育工作者和更广泛的STEM劳动力的具体目标。K-12教师学习Unix的基本技能，包括文件管理、编程语言，如c++和shell脚本。FIRST-HEP利用未被充分代表的群体的潜力，并努力确保在为HEP基础培训课程和高级计算机学校选择培训参与者和讲师时，池达到或超过更大的HEP研究生人口的多样性。FIRST-HEP包括一项专门针对波多黎各当地公众的网络培训外展活动。FIRST-HEP利用与软件木匠的接触，在UPRM举办K-12教师的基本软件木匠技能培训，而这些教师反过来培训他们的学生。这鼓励教师和学校当局考虑将基本木工纳入高中课程。在FIRST-HEP基础培训课程中获得的培训和网络技能直接为更广泛的STEM劳动力做出贡献，并培养学生从事数据科学职业和HEP以外的其他研究领域，如天文学，这些领域需要类似的软件技能。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。

High-energy physics (HEP) aims to understand the fundamental building blocks of nature and their interactions by using large facilities such as the Large Hadron Collider (LHC) at the European Laboratory for Particle Physics (CERN) in Switzerland and the Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) planned for the 2020s at Fermilab, in Illinois, as well as many smaller experiments. These experiments generate ever increasing amounts of data and rely on a sophisticated software ecosystem consisting of tens of millions of lines of code that is critical to mine this data and produce physics results. People are the key to developing, maintaining, and evolving this software ecosystem for HEP experiments over many decades. Building the necessary software requires a workforce with a mix of HEP domain knowledge and advanced software skills. The Framework for Integrated Research Software Training in High Energy Physics (FIRST-HEP) project provides a training path from a researcher's first steps through active contribution to software training and workforce development. The project serves the national interest as stated by NSF's mission to promote the progress of science by preparing a workforce trained in cyberinfrastructure and impacts STEM disciplines in terms of much needed and sought after software training.The FIRST-HEP project directly organizes training activities and works with partners to leverage and bring synergy to disparate existing efforts in order to maximize their collective impact. It brings together an extended set of partners from the community to build not only missing basic training elements like introductory programming skills in Python, git and Unix but also use of HEP data formats like ROOT and advanced topics including parallel programming, performance tuning, machine learning and data science for Ph.D. students. It works to build a community of instructors and experiments around the software training material and transforms the approach for research software training in HEP. It builds the workforce required for the cyberinfrastructure challenges of running and planned HEP facilities and experiments in the coming years.The FIRST-HEP education and training activities include specific goals to educate minorities in HEP, K- 12 educators and the broader STEM workforce. The K-12 teachers learn very basic skills of Unix including file management, programming languages, such as C+ and shell scripting. FIRST-HEP harnesses the potential of the underrepresented groups and works to ensure that the pool meets or exceeds the diversity in the larger HEP graduate student population when selecting both training participants and instructors for the HEP fundamental training sessions and the advanced computing schools. FIRST-HEP includes a dedicated outreach activity on cybertraining to the local Puerto Rico public. FIRST-HEP leverages engagement with the Software Carpentries to host training of K-12 teachers at UPRM in basic Software Carpentry skills and who in turn train their students. This encourages the teachers and school authorities to consider incorporating the basic carpentries into the high school curriculum. The training and cyber skills gained during the FIRST-HEP fundamental training courses directly contribute to the broader STEM workforce and trains students to pursue data science careers and other research areas besides HEP, such as Astronomy, where similar software skills are required.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.