Long-Term Mentoring for Computer Science Researchers
Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva,, Talia Ringer

TL;DR
This paper discusses the development, implementation, and positive impacts of long-term mentoring programs in computer science, specifically in programming languages and computer architecture, highlighting their potential to foster lasting community connections.
Contribution
It introduces two new long-term mentoring programs in PL and CA, sharing their design, impact, and challenges to inspire broader adoption in computer science.
Findings
SIGPLAN-M mentors and mentees across 41 countries
Mentees describe the program as 'life changing' and 'career saving'
CALM pilot received very positive feedback
Abstract
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).…
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Taxonomy
TopicsSoftware Engineering Techniques and Practices · Cloud Computing and Resource Management · Software System Performance and Reliability
