{"title":"计算机科学研究人员的长期指导","authors":"Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva, Talia Ringer","doi":"arxiv-2208.04738","DOIUrl":null,"url":null,"abstract":"Early in the pandemic, we -- leaders in the research areas of programming\nlanguages (PL) and computer architecture (CA) -- realized that we had a\nproblem: the only way to form new lasting connections in the community was to\nalready have lasting connections in the community. Both of our academic\ncommunities had wonderful short-term mentoring programs to address this\nproblem, but it was clear that we needed long-term mentoring programs. Those of us in CA approached this scientifically, making an evidence-backed\ncase for community-wide long-term mentoring. In the meantime, one of us in PL\nhad impulsively launched an unofficial long-term mentoring program, founded on\nchaos and spreadsheets. In January 2021, the latter grew to an official\ncross-institutional long-term mentoring program called SIGPLAN-M; in January\n2022, the former grew to Computer Architecture Long-term Mentoring (CALM). The impacts have been strong: SIGPLAN-M reaches 328 mentees and 234 mentors\nacross 41 countries, and mentees have described it as \"life changing\" and \"a\ncareer saver.\" And while CALM is in its pilot phase -- with 13 mentors and 21\nmentees across 7 countries -- it has received very positive feedback. The\nleaders of SIGPLAN-M and CALM shared our designs, impacts, and challenges along\nthe way. Now, we wish to share those with you. We hope this will kick-start a\nlarger long-term mentoring effort across all of computer science.","PeriodicalId":501533,"journal":{"name":"arXiv - CS - General Literature","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-Term Mentoring for Computer Science Researchers\",\"authors\":\"Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva, Talia Ringer\",\"doi\":\"arxiv-2208.04738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Early in the pandemic, we -- leaders in the research areas of programming\\nlanguages (PL) and computer architecture (CA) -- realized that we had a\\nproblem: the only way to form new lasting connections in the community was to\\nalready have lasting connections in the community. Both of our academic\\ncommunities had wonderful short-term mentoring programs to address this\\nproblem, but it was clear that we needed long-term mentoring programs. Those of us in CA approached this scientifically, making an evidence-backed\\ncase for community-wide long-term mentoring. In the meantime, one of us in PL\\nhad impulsively launched an unofficial long-term mentoring program, founded on\\nchaos and spreadsheets. In January 2021, the latter grew to an official\\ncross-institutional long-term mentoring program called SIGPLAN-M; in January\\n2022, the former grew to Computer Architecture Long-term Mentoring (CALM). The impacts have been strong: SIGPLAN-M reaches 328 mentees and 234 mentors\\nacross 41 countries, and mentees have described it as \\\"life changing\\\" and \\\"a\\ncareer saver.\\\" And while CALM is in its pilot phase -- with 13 mentors and 21\\nmentees across 7 countries -- it has received very positive feedback. The\\nleaders of SIGPLAN-M and CALM shared our designs, impacts, and challenges along\\nthe way. Now, we wish to share those with you. We hope this will kick-start a\\nlarger long-term mentoring effort across all of computer science.\",\"PeriodicalId\":501533,\"journal\":{\"name\":\"arXiv - CS - General Literature\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - General Literature\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2208.04738\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - General Literature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2208.04738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.