Changing demographics of scientific careers The rise of the temporary workforce

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 115; no. 50; pp. 12616 - 12623
• Main Authors: Milojević, Staša, Radicchi, Filippo, Walsh, John P.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 11.12.2018
• Subjects: Careers; Citation analysis; COLLOQUIUM PAPER; Demographics; Demography; Productivity; Sackler on Modeling and Visualizing Science and Technology Developments; Scientists; Social Sciences; Statistical analysis; Survivability; Survival; Trends; Workforce; scientific workforce; scientific careers; career success
• ISSN: 0027-8424; 1091-6490; 1091-6490
• DOI: 10.1073/pnas.1800478115

Contemporary science has been characterized by an exponential growth in publications and a rise of team science. At the same time, there has been an increase in the number of awarded PhD degrees, which has not been accompanied by a similar expansion in the number of academic positions. In such a competitive environment, an important measure of academic success is the ability to maintain a long active career in science. In this paper, we study workforce trends in three scientific disciplines over half a century. We find dramatic shortening of careers of scientists across all three disciplines. The time over which half of the cohort has left the field has shortened from 35 y in the 1960s to only 5 y in the 2010s. In addition, we find a rapid rise (from 25 to 60% since the 1960s) of a group of scientists who spend their entire career only as supporting authors without having led a publication. Altogether, the fraction of entering researchers who achieve full careers has diminished, while the class of temporary scientists has escalated. We provide an interpretation of our empirical results in terms of a survival model from which we infer potential factors of success in scientific career survivability. Cohort attrition can be successfully modeled by a relatively simple hazard probability function. Although we find statistically significant trends between survivability and an author’s early productivity, neither productivity nor the citation impact of early work or the level of initial collaboration can serve as a reliable predictor of ultimate survivability.