计算机科学研究人员的长期指导

Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva, Talia Ringer
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摘要

在疫情早期,我们——编程语言(PL)和计算机体系结构(CA)研究领域的领导者——意识到我们遇到了一个问题:在社区中形成新的持久联系的唯一方法是在社区中已经拥有持久的联系。我们的学术团体都有很好的短期指导项目来解决这个问题,但很明显,我们需要长期的指导项目。我们这些在加州的人科学地处理了这个问题,为社区范围内的长期指导提供了一个有证据支持的案例。与此同时,我们在pli的一个人冲动地启动了一个非官方的长期指导计划,建立在混乱和电子表格的基础上。2021年1月,后者发展成为一个官方的跨机构长期指导项目,名为SIGPLAN-M;2022年1月,前者更名为计算机架构长期指导(CALM)。SIGPLAN-M的影响是巨大的:在41个国家,SIGPLAN-M有328名学员和234名导师,学员们将其描述为“改变生活”和“职业拯救者”。虽然CALM还处于试点阶段,在7个国家拥有13名导师和21名学员,但它收到了非常积极的反馈。SIGPLAN-M和CALM的领导者分享了我们的设计、影响和挑战。现在,我们希望与大家分享。我们希望这将在整个计算机科学领域启动更大的长期指导工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-Term Mentoring for Computer Science Researchers
Early in the pandemic, we -- leaders in the research areas of programming languages (PL) and computer architecture (CA) -- realized that we had a problem: the only way to form new lasting connections in the community was to already have lasting connections in the community. Both of our academic communities had wonderful short-term mentoring programs to address this problem, but it was clear that we needed long-term mentoring programs. Those of us in CA approached this scientifically, making an evidence-backed case for community-wide long-term mentoring. In the meantime, one of us in PL had impulsively launched an unofficial long-term mentoring program, founded on chaos and spreadsheets. In January 2021, the latter grew to an official cross-institutional long-term mentoring program called SIGPLAN-M; in January 2022, the former grew to Computer Architecture Long-term Mentoring (CALM). The impacts have been strong: SIGPLAN-M reaches 328 mentees and 234 mentors across 41 countries, and mentees have described it as "life changing" and "a career saver." And while CALM is in its pilot phase -- with 13 mentors and 21 mentees across 7 countries -- it has received very positive feedback. The leaders of SIGPLAN-M and CALM shared our designs, impacts, and challenges along the way. Now, we wish to share those with you. We hope this will kick-start a larger long-term mentoring effort across all of computer science.
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