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Preprint out! Task specialization and its effects on research careers

Yesterday we made openly accessible our work on task specialization and its effects on research careers. The paper is available here doi:10.1101/2020.07.01.181669

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Presenting specialized profiles based on contribution statements

Last week the Knowledge Transfer Conference held in Córdoba (Spain) and organized by the IESA (CSIC), took place. We took this opportunity to present for the first time our results on the use of contribution statements to profile researchers combining Bayesian Networks and Archetypal Analysis. Bayesian Networks is a machine learning technique to develop predictive models. Archetypal Analysis is a non-parametric technique for identifying patterns in multivariate data sets. Instead of clustering cases, it defines archetypes where cases take extreme values in one or more of the variables introduced.

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