SPECIAL SESSIONS

Big data, machine learning and the challenge of the geography of innovation

Coordinators:

Rafael Boix (University of Valencia, rafael.boix@uv.es ), Julio Raffo (WIPO, julio.raffo@wipo.int ), Luciana Lazzeretti (University of Florence, luciana.lazzeretti@unifi.it )

The geography of innovation is one of the fields of research where the availability of databases is growing fastest, ranging from thousands to millions of georeferenced records such as Espacenet (EPO) or those of WIPO. At the same time, the development of new applications for mapping and data analysis (regression trees, random forest, boost, neural networks, etc.) generates new and exciting possibilities for the analysis of the geographies of innovation.

The session is oriented to the research and exchange of knowledge about georeferenced innovation databases and the use of machine learning and artificial intelligence for the study of the geography of innovation. We encourage the presentation of theoretical and empirical contributions, databases, as well as software and applications that can be used for the analysis of the geography of innovation.

PARTNERS

  • POLISS
  • Bocconi University

SPONSORS

  • Intesa Sanpaolo
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EXTENDED REGISTRATION: Due to technical issues with the payment system, registration for GEOINNO2022 in Milan in July 2022 has been extended until 6th May 2022. More information here.