The EuroGEOSec project (led by ARMINES) brings together a European consortium built from the core group of the team involved in the H2020 e-shape (EuroGEO Showcases: Applications powered by Europe) project and will collaborate with the Joint Research Centre Knowledge Center on Earth Observation (JRC-KCEO) to support the EuroGEO vision and to prepare the transition of the EuroGEO initiative into a sustainable endeavour, by setting-up a EuroGEO secretariat. The overarching goal of the EuroGEOSec project is to support the coordination of the EuroGEO initiative and develop a sustainability plan guiding its long-term operation. This will be achieved by establishing the EuroGEO Secretariat with the mission to (i) strengthen GEO-related coordination mechanisms at European and national levels, (ii) support increased innovation, space application development and reinforcement of the European space data ecosystem concept; (iii) foster international cooperation to help stimulate the market and promote European technology and services; (iv) contribute to the European Green Deal objectives and the European strategy for data (EU Data Spaces) by further deploying and exploiting the use of EO towards a strengthened Global Earth Observation System of Systems (GEOSS). The project delivers the definition, set-up, operation and ramp-up of the EuroGEO Secretariat serving the EuroGEO initiative and its ecosystem of actors, and developing support services and a sustainability strategy that will inform the long-term operation of the EuroGEO initiative. Project url website: www.eurogeosec.eu

AD4GD’s overall objective is to co-create and shape the European Green Deal Data Space as an open hub for FAIR data and standards-based services that support the key priorities of biodiversity, climate change, and pollution. The focus will be on interoperability concepts that bridge the semantic and technology gaps which currently prevent stakeholders and application domains from multi-disciplinary and multi-scale access to data, and which impede the exploitation of processing services, and processing platforms at different levels including Cloud, HPC and edge computing. This project will enable the combination and integration of data from remote sensing, established Virtual Research Environments and Research Infrastructures, Internet of Things (IoT), socio-economic data, INSPIRE and Citizen Science (CitSci) in an interoperable, scalable and reliable manner. This will facilitate integration by including semantic mappings to different standards and dominant models bridging domain- and data source-specific semantic concepts such as the Essential Variables framework (e.g. the GCOS Essential Climate Variables, the GEOBON Essential Biodiversity Variables), as well as applying machine learning and geospatial user feedback to ensure quality, reliability and trustworthiness of data and transforming spatial scales. The project will make data and services accessible to the EC Knowledge Centres, GEOSS portal, EOSC and other science services as applicable, ensuring the sustainability of the results, and will actively promote data accessibility for community stakeholders and citizen scientists. AD4GD will demonstrate and validate the approach in three pilots whose stakeholders include international organizations, scientists and researchers, citizens, decision makers (e.g. public authorities), and Earth observation (EO) solution developers. The pilots address selected Green Deal priority areas, including cross-domain components: Zero pollution, Biodiversity, and Climate Change.

SEADOTs (Social-Ecological Ocean Management Applications using Digital Ocean Twins) has the objective of advancing holistic, just and sustainable ocean management by bringing a predictive component for social-ecological aspects into comprehensive digital ocean twins (DOTs). These DOTs will combine digital twins of the ocean (DTO) with human activities in the ocean and combine socio-ecological and socio-economic data with ocean data, ecosystem data, and a variety of models. By creating and demonstrating applications in the Norwegian North Sea, the Southern North Sea and the Baltic Sea that address current challenges and developments and can simulate the intricate interactions between human activities and marine ecosystems, SEADOTs aims to facilitate and inform political decision making, marine spatial planning and adaptive management. SEADOTs ambition is to help safeguard ocean ecosystems, promote sustainable resource use, and enhance social and economic well-being. The project will leverage developments from ongoing Mission and Green Deal projects where partners are involved in, including the European Digital Twin projects Iliad and EDITO, OLAMUR and CLIMAREST and demonstrate Ocean Management Applications with Digital Ocean Twins on the EU Digital Twin Ocean (DTO) infrastructure as well as distributed platforms for socio-ecological, socio-economic and political endpoints. For that purpose will SEADOTs work with data acquisition and beyond the state of the art and the objective to provide spatially-explicit social-ecological data and data interoperability with geospatial ocean data also after the project period in suitable repositories, through stakeholder capacity building and through collaboration with the co-funded projects of this call. The SEADOTS consortium was built across scientific and technical excellence and is accompanied by an Advisory Board that spans marine spatial planning, political aspects, gaming and social science as well as Ocean Best Practices.

USAGE (Urban Data Space for Green Deal) aims to provide solutions and mechanisms for making city-level environmental and climate data available to everyone based on FAIR principles. USAGE will support the implementation of the European strategy for data and various European Green Deal priority actions at the level where climate change is mostly felt: cities and towns. USAGE will provide innovative governance mechanisms, consolidated arrangements, AI-based tools and data analytics to share, access and use city-level data from Earth Observation (EO), Internet of Things (IoT), authoritative and crowd sources, leveraging on standards for data and service interoperability. USAGE wants to become a decentralized infrastructure for trustworthy data collection, processing and exchange based on commonly agreed principles, facilitating the combination of heterogeneous data for policy analysis. USAGE will validate its solutions in four diverse pilot areas located in four different countries, focusing also on the reusability of the solutions in other urban areas. The consortium consists of 11 interdisciplinary partners from 5 European countries and, within the 3 years of activities, will also realize a long-term sustainability and growth strategy plan of project solutions.

HERITALISE mission is to research and develop advanced digitisation techniques and solutions for documenting and representing diverse CH assets, giving a full comprehension of the diverse CH features, visible and non-visible. In addition, AI-powered tools including Machine Learning (ML) will be developed for improved and optimised data post-processing and integration based on standard and expanded methodologies. All this will be connected through a knowledge graph environment that allows the individual aspects known about the CH object to be related and retrievable. As with Wikipedia, by following links it will be possible to learn more about a particular object, what research has been done, and what results have been derived from it. HERITALISE will provide the upcoming ECCCH with a interoperable web-based Ecosystem, advanced input data from improved digitalisation methodologies and preservation supporting tools, which will be achieved by meeting the following General Objectives (GO) and setting the conditions for a wide-scale replicability and scalability across European CH institutions/organisations across European CH institutions/organisations: GO1: State-of-the-art review of current digitisation standards and methodologies defining the data requirements for CH tangible and intangible objects GO2: Improve 3D/2D Data acquisition methods and technologies GO3: Data post-processing methods and technologies will be adopted, including new AI-powered digitisation methods and the development of data fusion techniques to mix various multimodal digitisation approaches (multisensory, multiscale, multispectral, external and internal) GO4: Development of methodologies and solutions as Hardware (HW) and/or Software (SW) services GO5: Development of ECCCH-compliant open interoperability components enabling connecting and sharing data and modular services in a distributed web-based architecture GO6: Increasing the Impact of current and developing digitisation technologies