The RAISE project aims to create and consolidate innovation ecosystems based on AI and robotics in the Liguria region to promote cooperation between institutions, the research system and productive sector. The project, funded by the MUR for the three-year period 2023-2025 through the PNRR, aims to improve the quality of life and work by involving the local community in the design and adoption of technologies. The work conducted by the UNIGE-DAD research group on designing inclusive urban spaces started with a reasoned desk analysis of 60 case studies of interactive street furniture, and then focused on an application case study - Villaggio del Ragazzo - in the San Salvatore di Cogorno area of Cogorno, in the province of Genoa. Transformed into a Living Lab, with the involvement of citizens, users and public administration, the Village contributed to the development of solutions with a high degree of replicability.

Progetto RAISE: Urban Technologies for Inclusive Engagement. Strategie design-driven per l’adozione di tecnologie nei contesti urbani della regione Liguria.

Porfirione Claudia;Francesco Burlando;Federica Maria Lorusso
2024-01-01

Abstract

The RAISE project aims to create and consolidate innovation ecosystems based on AI and robotics in the Liguria region to promote cooperation between institutions, the research system and productive sector. The project, funded by the MUR for the three-year period 2023-2025 through the PNRR, aims to improve the quality of life and work by involving the local community in the design and adoption of technologies. The work conducted by the UNIGE-DAD research group on designing inclusive urban spaces started with a reasoned desk analysis of 60 case studies of interactive street furniture, and then focused on an application case study - Villaggio del Ragazzo - in the San Salvatore di Cogorno area of Cogorno, in the province of Genoa. Transformed into a Living Lab, with the involvement of citizens, users and public administration, the Village contributed to the development of solutions with a high degree of replicability.
2024
978-88-943380-1-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1222276
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