, Volume 104, Issue 1, pp 381–406 | Cite as

The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system

  • João M. Santos
  • Hugo Horta


The features of science and technology (S&T) systems change over time. Simultaneously, at an individual level, the characteristics of actors in these systems also change concomitantly. In this study, the characteristics of doctorates in a changing S&T system are analyzed. This is performed by a series of cluster analyses on doctorates—with the goal of identifying shifting profiles—in strategic periods spanning three decades, which represents milestones in an evolving S&T system. A series of archetypal profiles of doctorates are identified, including changes to the relative weights of each of them, along with a pattern of alternating convergence and divergence over time on the characteristics of these doctorates.


Dynamic cluster analysis Doctorates Profile of doctorates Pathway analysis Post-doctorates 



This study was supported by the Fundação para a Ciência e Tecnologia (Portuguese Science and Technology Foundation, FCT), project grant titled “Career trajectories of doctorates: deepening the knowledge on different types of mobility” with the reference PTDC/IVC-ESCT/3788/2012.


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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2015

Authors and Affiliations

  1. 1.Center for Innovation, Technology and Policy Research, Instituto Superior TécnicoUniversity of LisbonLisbonPortugal
  2. 2.Faculty of EducationThe University of Hong KongPokfulamHong Kong SAR, China

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