Mai Troppo Tardi
To practice Social Innovation
Period: May 2020 - Oct 2025 (Project completed)
“Mai Troppo Tardi” (“Never too late") is a social innovation project, aimed to develop, consolidate and extend innovative practices to meet the needs of young people under 30, and the senior people over 65 with difficulty in accessing digital services. These two groups' combined "weaknesses" can transform into strengths through a skill transfer programme based on intergenerational exchange.
Funded by the Italian Presidency of the Council of Ministers and then by Fondazione Social Venture Giordano dell’Amore.
PROGETTI CORRELATI
SAGE
The Data Space for a Sustainable Green Europe
Period: March 2025 – March 2028SAGE will establish the Green Deal Data Space (GDDS) aimed at enhancing the accessibility, integration, and utilisation of green and environmental data across the EU to support key pillars of the European Green Deal—Zero Pollution, Climate Adaptation, Biodiversity, and the Circular Economy. Building directly upon the GREAT project community and results, and aligning with the Digital Europe Programme’s strategic focus on AI, cybersecurity, advanced computing, and data infrastructure, SAGE leverages outcomes from the European Strategy for Data and research facilitated by Horizon Europe.
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Ge-DIX
Genova Data Internet eXchange
Period: 2024 – OngoingGenoa’s new Internet Exchange managed by a consortium including the Municipality of Genoa and industry leaders, aims to capitalize on the city’s strategic location as a landing point for major submarine cables
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SM4RTENANCE
Trusted Data Sharing for Manufacturing Equipment Industry
Period: October 2023 – September 2026SM4RTENANCE aims to connects key ecosystems, standards, experimentation facilities and data space development building blocks with the aim to secure growth and economies of scale for future multi-stakeholder predictive maintenance and supply chain data spaces across their full lifecycle, adopting common European data space principle, technical infrastructures, vocabularies, data models and business agreements.
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