Towards building a monitoring platform for a challenge-oriented smart specialisation with RIS3-MCAT

TL;DR

This paper introduces the RIS3-MCAT platform, an interactive tool leveraging open data, semantic analysis, and visualization to monitor challenge-oriented smart specialisation in Catalonia, supporting sustainable R&I development.

Contribution

It presents a novel platform that combines open data, semantic analysis, and visualization for monitoring challenge-oriented smart specialisation, advancing R&I policy analysis.

Findings

RIS3-MCAT enables detailed thematic analysis of R&I projects.

The platform supports sophisticated text analysis beyond traditional classifications.

It facilitates understanding of regional specialisation and societal challenges.

Abstract

In the new research and innovation (R&I) paradigm, aimed at a transformation towards more sustainable, inclusive and fair pathways to address societal and environmental challenges, and at generating new patterns of specialisation and new trajectories for socioeconomic development, it is essential to provide monitoring systems and tools to map and understand the contribution of R&I policies and projects. To address this transformation, we present the RIS3-MCAT platform, the result of a line of work aimed at exploring the potential of open data, semantic analysis, and data visualisation, for monitoring challenge-oriented smart specialisation in Catalonia. RIS3-MCAT is an interactive platform that facilitates access to R&I project data in formats that allow for sophisticated analyses of a large volume of texts, enabling the detailed study of thematic specialisations and challenges beyond classical classification systems. Its conceptualisation, development framework and use are presented in this paper.