Career Transitions and Trajectories: A Case Study in Computing
Career Transitions and Trajectories: A Case Study in Computing
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DOI：
10.1145/3219819.3219863
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Tara Safavi;Maryam Davoodi;Danai Koutra
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文献类型：
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作者：
Tara Safavi;Maryam Davoodi;Danai Koutra
从人工智能到网络安全再到硬件设计，众所周知，计算研究推动了许多重要的技术和社会进步。然而，人们对这些创新背后的人的长期职业道路知之甚少。他们的职业生涯揭示了计算研究的哪些演变？哪些机构过去和现在在该领域最重要，原因是什么？对计算机职业轨迹的洞察可以帮助预测雇主的保留率吗？在本文中，我们使用富含专业信息的大型新数据集分析了几十年的博士后计算职业，并提出了一种多功能职业网络模型 R 3 ，该模型可以捕获时间职业动态。通过 R 3，我们跟踪计算研究历史上的重要组织，分析行业、学术界和政府之间的职业流动，并为个人职业转变构建强大的预测模型。我们的研究是此类研究中的第一个，是了解计算研究职业的起点，并且可以在对专业计算专业知识的需求远远超过供应的情况下为雇主招聘和保留机制提供信息。
From artificial intelligence to network security to hardware design, it is well-known that computing research drives many important technological and societal advancements. However, less is known about the long-term career paths of the people behind these innovations. What do their careers reveal about the evolution of computing research? Which institutions were and are the most important in this field, and for what reasons? Can insights into computing career trajectories help predict employer retention? In this paper we analyze several decades of post-PhD computing careers using a large new dataset rich with professional information, and propose a versatile career network model, R 3 , that captures temporal career dynamics. With R 3 we track important organizations in computing research history, analyze career movement between industry, academia, and government, and build a powerful predictive model for individual career transitions. Our study, the first of its kind, is a starting point for understanding computing research careers, and may inform employer recruitment and retention mechanisms at a time when the demand for specialized computational expertise far exceeds supply.