Catalonia concentrates 228 artificial intelligence projects within the framework of the Horizon 2020 program of the European Union, the EU’s reference instrument for the promotion of R&D and innovation, where it presents a degree of specialization in this technology higher than the European average, according to the report “Analysis of the specialization in artificial intelligence in Catalonia”.
The report, which has been prepared within the framework of the monitoring program of the RIS3CAT strategy and the Artificial Intelligence Strategy of Catalonia Catalonia.AI, has been led by the General Directorate of Economic Promotion, Competition and Regulation (Department of the Vice-Presidency and of Economy and Finance) with the collaboration of the Department of Digital Policies and Public Administration and of SIRIS Academic, specialized in the evaluation of research and innovation policies based on data.
The presentation of the report took place today at an event in online format organized by the Center for Innovation for Data tech and Artificial Intelligence (CIDAI), which was attended by the Director General of Innovation and Digital Economy, Daniel Marco; the head of the Economic Promotion Area of the General Directorate of Economic Promotion, Competition and Regulation, Tatiana Fernàndez; the director of CIDAI and the Eurecat Digital Area, Joan Mas, and the SIRIS Academic team.
The document aims to identify and analyze the main actors in Catalonia that carry out research and innovation in the field of artificial intelligence, their collaboration networks and areas of specialization. It also analyzes the relative position of Catalonia in relation to the leading regions in Europe and the collaboration networks of Catalan actors in the EU and visualizes how artificial intelligence contributes to addressing the challenges of society (SDGs) and industry.
The study has been developed using an innovative methodology applying artificial intelligence techniques for the automatic identification of projects from a vocabulary of more than 600 words that defines the scope of analysis and the emptying of all the H2020 and RIS3CAT project database.
As reflected in the report, the 228 projects specializing in artificial intelligence in the Horizon 2020 framework place Catalonia in third place in the ranking of European regions within this program, where 11.3% of projects have some partner of Catalonia. 45 projects in the field of artificial intelligence are also identified among the 683 RIS3CAT projects analyzed (6.66%).
The analysis also highlights the large number of innovation projects and the application of artificial intelligence in the RIS3CAT sector areas. In this section, Catalonia’s artificial intelligence projects focus on the health industries sector (80 projects), followed by industrial systems (44), energy and resources (40), and sustainable mobility (33).
The report also shows the increase in the number of artificial intelligence projects in the years 2015-2019 (last closed year of the analysis period) and highlights a clear trend of increasing the annual activity, in line with the growing scientific, technological, business and public policy interest in this field.
Leading entities and companies in artificial intelligence
The entities in Catalonia that take part in more artificial intelligence projects are the Universitat Politècnica de Catalunya (28 projects), the Barcelona Supercomputing Center (25), the Universitat Pompeu Fabra (25), the Eurecat Technology enter (16) and the University of Barcelona (14).
As for the companies involved in more projects, they top the list PAL Robotics (5), Worldsensing (4) and Dexma Sensors (4). In relative terms, the entities that have a specialization in higher artificial intelligence projects are the Computer Vision Center, with a percentage of 59%; the i2CAT Foundation, with 24%, and the Telecommunications Technology Center of Catalonia, with a percentage of 20%.
Potential of artificial intelligence on a global scale
It is estimated that by 2030 artificial intelligence will generate an additional increase of $ 15.7 trillion in world GDP, mainly from increased productivity through process automation (including l use of robots and autonomous vehicles), the increase in labor productivity thanks to artificial intelligence (assisted intelligence and increased intelligence) and the saving of time and production costs due to factors and the increase in demand due to the availability of new, higher quality and customized artificial intelligence products and services.
- Enllaç al mòdul d’IA de la Plataforma RIS3-MCAT
- Enllaç a l’informe ‘Anàlisi de l’especialització en intel·ligència artificial a Catalunya’