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arXiv 1204.0752physics.soc-phcs.DLphysics.data-an
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学术生涯中的持久性和不确定性

Persistence and Uncertainty in the Academic Career

Alexander M. Petersen, Massimo Riccaboni, H. Eugene Stanley, Fabio Pammolli

摘要:

要了解学术界的制度变化如何影响科学的整体潜力,就需要更好地定量表示职业生涯如何随着时间的推移而演变。由于知识溢出、累积优势、竞争和合作是学术职业的显著特征,因此,在设计雇佣关系以及授予认可和分配资金的程序时,都应考虑到这些因素。我们通过分析来自物理学界的200名顶尖科学家和100名助理教授的纵向职业生涯数据,研究了给定科学家i的年产量n_{i}(t)。我们将我们的结果与21,156个体育职业进行了比较。我们对个体生产率动态的实证分析表明:(1)竞争性队列中的顶尖个体的收益递增,(2)生产增长的分布是一个非常对称的尖峰“帐篷形”分布。我们的方法是通用的,我们推测,类似的功能出现在其他学科的学术出版是必不可少的,合作是一个关键特征。我们引入了一个模型的比例增长,再现这两个观察,并占职业生涯的长寿和成就的科学显着右偏分布。使用这个理论模型,我们表明,短期合同可以放大竞争和不确定性的影响,使职业生涯更容易提前终止,不一定是由于缺乏个人的才能和持久性,但由于随机的负面生产冲击。我们发现,在科学生产的波动定量相关的科学家的合作半径和团队效率。

英文摘要:

Understanding how institutional changes within academia may affect the overall potential of science requires a better quantitative representation of how careers evolve over time. Since knowledge spillovers, cumulative advantage, competition, and collaboration are distinctive features of the academic profession, both the employment relationship and the procedures for assigning recognition and allocating funding should be designed to account for these factors. We study the annual production n_{i}(t) of a given scientist i by analyzing longitudinal career data for 200 leading scientists and 100 assistant professors from the physics community. We compare our results with 21,156 sports careers. Our empirical analysis of individual productivity dynamics shows that (i) there are increasing returns for the top individuals within the competitive cohort, and that (ii) the distribution of production growth is a leptokurtic "tent-shaped" distribution that is remarkably symmetric. Our methodology is general, and we speculate that similar features appear in other disciplines where academic publication is essential and collaboration is a key feature. We introduce a model of proportional growth which reproduces these two observations, and additionally accounts for the significantly right-skewed distributions of career longevity and achievement in science. Using this theoretical model, we show that short-term contracts can amplify the effects of competition and uncertainty making careers more vulnerable to early termination, not necessarily due to lack of individual talent and persistence, but because of random negative production shocks. We show that fluctuations in scientific production are quantitatively related to a scientist's collaboration radius and team efficiency.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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