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拉布(Fermilab)进行的长基线中微子设施(LBNF)和深层地下中微子实验(DUNE)，以及许多较小的实验，来了解自然界的基本组成部分及其相互作用。这些实验产生了越来越多的数据，并依赖于一个复杂的软件生态系统，该生态系统由数千万行代码组成，这些代码对于挖掘这些数据和产生物理结果至关重要。在几十年的HEP实验中，人是开发、维护和发展这个软件生态系统的关键。构建必要的软件需要一支兼具HEP领域知识和高级软件技能的员工队伍。高能物理综合研究软件培训框架(First-HEP)项目提供了一条从研究人员的第一步到对软件培训和劳动力发展做出积极贡献的培训途径。该项目符合国家利益，NSF的使命是通过培养一支接受过网络基础设施培训的劳动力来促进科学进步，并在急需和追逐的软件培训方面影响STEM学科。First-HEP项目直接组织培训活动，并与合作伙伴合作，利用现有的不同努力并带来协同效应，以最大限度地发挥其集体影响。它将来自社区的更多合作伙伴聚集在一起，不仅为博士生构建缺少的基本培训元素，如Python、Git和Unix的入门编程技能，还包括使用HEP数据格式(如Root)和高级主题，包括并行编程、性能调优、机器学习和数据科学。它致力于围绕软件培训材料建立一个教师和实验社区，并改变HEP研究性软件培训的方法。它培养所需的劳动力，以应对未来几年运行和规划的HEP设施和实验的网络基础设施挑战。First-HEP教育和培训活动包括教育HEP、K-12教育工作者和更广泛的STEM劳动力的特定目标。K-12教师学习Unix的非常基本的技能，包括文件管理、编程语言，如C和外壳脚本。First-HEP利用代表性不足群体的潜力，在为HEP基础培训课程和高级计算学校选择培训参与者和讲师时，努力确保人才库达到或超过较大HEP研究生群体的多样性。First-Hep包括一项专门针对波多黎各当地公众的网络培训外联活动。First-Hep利用与软件木工项目的接触，在UPRM主办K-12教师的基本软件木工技能培训，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础木工课程纳入高中课程。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，并培训学生在HEP之外从事数据科学职业和其他研究领域，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。

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.