Pioneering Destination Earth for a Sustainable Future: Large-Scale Pilots and Demonstrators

Expected Outcome: Actionable and widely tested research-to-action pilot solutions in addressing complex cross-sectoral problems caused and/or exacerbated by climate change in key socio-environmental and socio-economic sectors. Innovative use of Artificial Intelligence (AI) by further development of the data lab infrastructure around Destination Earth in line with the AI continent Action Plan [1] . Multi-country approach with real end user engagement to ensure solutions that are accessible, and effectively integrated into real policy, preparedness and response efforts. Scope: The focus is on large-scale pilots and demonstrators to enable researchers, expert and non-expert users, including decision-makers, to experiment with and through the existing Destination Earth system and harness it to widespread cross-societal use through new innovative methods, practices, tools and services. It will also leverage on the recent AI Continent Action Plan and the further development of the data lab infrastructure by bringing together and federating data from different AI Factories, linking to the corresponding Common European Data Spaces and making this data available to AI developers and ensuring their access to large volumes of high-quality data. The proposals should cover all following aspects: Planning, designing, and overseeing large-scale experimental pilots and demonstrators by using Destination Earth capabilities in critical impact sectors linked to public policy areas, tackling real-world challenges in relation to climate change adaptation and risk mitigation, and foster solutions that address clearly specified needs at European, national, regional and local scale. The pilots and demonstrators should improve the models and enable the coupling of models used in different sectors to combine cross-sectoral research and practice. They should consider the complex interrelationships emerging from the challenges caused and/or exacerbated by climate change, like for example climate-induced health effects or changes in the energy, agri-food or mobility sectors, and propose, test and analyse adaptation and risk mitigation measures in real-life scenarios to be able to respond effectively to these complex challenges in the future. The pilots should contribute to the data infrastructure around Destination Earth for new AI-enabled digital twins by using the Data Labs of the AI Factories and integrating them in the DestinE system. Involvement of SMEs and/or startups, active in AI and/or deep tech and working in close collaboration with scientific research community is strong…