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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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Valuation model presented at the #ATLC2019

Yesterday, Nicolas presented the paper ‘Towards a multidimensional valuation model of scientists’ at the Atlanta Conference on Science and Innovation Policy 2019 in Atlanta, GA. The model was previously presented as a poster at the ISSI 2019 Conference. In this case, we are now moving with the data collection process and have already retrieved the bibliometric data for the six research groups we are analyzing as case studies. As a kind of exploratory analysis to see if the model we have designed could actually identify different profiles, we did an archetypal analysis using very limited and dubious variables to operationalize each dimension. Although the results most be interpreted with lots of caution, the fact that we could find distinct archetypes and even some consistencies between fields, was really surprising and reassuring.

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Presenting the valuation model at ISSI 2019 in Rome

Last Tuesday we presented the poster ‘Towards a multidimensional valuation model of scientists’ co-authored with Tina Nane, Rodrigo Costas and Thed N. van Leeuwen at the ISSI 2019 Conference held in Rome . Here we include a brief summary of its contents:

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