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Why do we need to complement the European Union Regional Innovation Scoreboard with a cluster-neural network tool for what-if policy analysis? by Lanzetta, Vincenzo; Ponsiglione, Cristina is a scholarly article available to read on EtoBox.

What is Why do we need to complement the European Union Regional Innovation Scoreboard with a cluster-neural network tool for what-if policy analysis? about?

The European Union Regional Innovation Scoreboard (EURIS) is currently and broadly used for the definition of regional innovation policies by European policymakers; it is a regional innovation measuring tool for the analysis of each specific innovation indicator, from which it is possible to analyze the overtime evolution of each regional innovation indicator; according to the importance of the European Union Regional Innovation Scoreboard for innovation policy purposes, we state that European regional policymakers need integrative and synergistic methodological tools, with respect to the EURIS one, for innovation policy purposes. Thus, we highlight the need to integrate the current methodology of the European Regional Innovation Scoreboard with a Factorial K-means (FKM) tool for clustering purposes, and with a neural network (NN) tool for performing what-if policy analyses. We claim that our proposed FKM-NN tool could be used, by regional innovation policymakers, as a very effective synergistic instrument of the European Union Regional Innovation Scoreboard.

Author

Lanzetta, Vincenzo; Ponsiglione, Cristina

Published

2024

Language

EN