Through an innovative approach on the missing children investigation cycle, ChildRescue was instrumental in leveraging the collective awareness, resourcefulness and action for a humanitarian cause: to expedite more rapid and effective resolution of missing children cases. The project also took special care for supporting the identification missing unaccompanied refugee minors, which was an emerging issue at the time.
ChildRescue explored patterns of interaction and awareness during the missing children investigations, leveraging the untapped potential of open-social-linked data to augment the background information of missing children through multi-layer (personal, psychological, social and activity) profiling and predictive analytics, respecting and protecting privacy and personal data. ChildRescue provided evidence-based insights for the network effect’s impact to the missing children response organizations and allowed them make informed decisions for each case. Based on location-based mobile notifications that spread using an intelligent system, citizens close to points a missing child was last seen or where s/he was probable to be found became “social sensors” for the investigation, paying attention to people passing by, contributing and validating potential evidence.
ChildRescue delivered a modular, open source solution to be adopted by different voluntary organizations, according to their needs and the readiness of their systems. The project’s results were piloted in (a) missing children cases by the partners who were responsible for the Amber Alert and 116 000 hotline in those countries; and (b) missing unaccompanied minors cases supported by the Hellenic Red Cross, in complementarity with existing models of operation. Missing Children Europe and Red Cross ensured visibility of the results across all relevant response and volunteer organizations in Europe.
The EOSC-hub project created the integration and management system of the future European Open Science Cloud that delivered a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e-infrastructures. This integration and management system (the Hub) built on mature processes, policies and tools from the leading European federated e-Infrastructures to cover the whole life-cycle of services, from planning to delivery. The Hub aggregated services from local, regional and national e-Infrastructures in Europe, Africa, Asia, Canada and South America.
The Hub acted as a single contact point for researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. Through the virtual access mechanism, more scientific communities and users had access to services supporting their scientific discovery and collaboration across disciplinary and geographical boundaries.
The project also improved skills and knowledge among researchers and service operators by delivering specialised trainings and by establishing competence centres to co-create solutions with the users. In the area of engagement with the private sector, the project created a Joint Digital Innovation Hub that stimulated an ecosystem of industry/SMEs, service providers and researchers to support business pilots, market take-up and commercial boost strategies.
EOSC-hub built on existing technology already at TRL 8 and addressed the need for interoperability by promoting the adoption of open standards and protocols. By mobilizing e-Infrastructures comprising more than 300 data centres worldwide and 18 pan-European infrastructures, this project was a ground-breaking milestone for the implementation of the European Open Science Cloud.
RenAI drives a new paradigm in the use of Generative AI for science by delivering a suite of domain-specific and cross-domain foundation models, co-created with European research infrastructures and scientific communities. Trained on curated multimodal datasets — imaging, time series and tabular data — these models support a wide range of downstream applications, from environmental monitoring to health research, while ensuring reproducibility, robustness and scientific credibility.
The project creates a federated ecosystem, aligned with the EOSC federation strategy, where researchers can easily access, fine-tune and apply these models, supported by tools for data discovery, transformation, benchmarking and compliance. Synthetic data generation further enhances research capacity by enabling experimentation in data-scarce or privacy-sensitive domains. To ensure usability, RenAI provides the coResearcher, an intuitive LLM-based assistant that lowers technical barriers and enables seamless interaction with models, services and workflows.
RenAI builds on and extends initiatives such as AI4EOSC, iMagine and EOSC Data Commons, embedding its services into the EOSC federation to guarantee interoperability, openness and long-term sustainability. The project also establishes strong links with EOSC governance and EU policy frameworks, aligning its outputs with the AI Act, FAIR principles, open science requirements, and security and ethics standards.
Beyond technical innovation, RenAI emphasises uptake and impact through training programmes, community engagement and cross-disciplinary collaboration, ensuring that infrastructures and researchers alike benefit from its outputs. By integrating ethical, transparent and trustworthy AI into scientific practice, RenAI positions Europe at the forefront of applying GenAI to accelerate discovery and address societal challenges across domains.
The SpurUP project brings together 34 partners from 11 EU countries, including universities and research institutions, technology providers, local authorities, industries and NGOs. This diverse and experienced team will work together to create resilient, climate-neutral peri-urban regions that enhance the sustainability and well-being of communities, addressing the challenges under the domains of industry and governance.
SpurUP aims to integrate net-zero technologies and foster participatory governance to tackle environmental pressures and fragmented governance in these regions. The project will establish Local Green Deals (LGDs) to unite public and private sectors in reducing greenhouse gas (GHG) emissions, improving energy efficiency, and promoting social equity and sustainability.
Implemented through 3 Living Labs in Thessaloniki, Greece; Aalborg, Denmark; and Jesi, Italy, SpurUP will test innovative technologies and digital tools tailored to each region’s needs. Key objectives include decarbonization, circular economy practices, and enhanced governance and stakeholder engagement. Additionally, 3 replication sites in Stara Zagora, Bulgaria; Tulcea, Romania; and Bristol, UK will further demonstrate the scalability and adaptability of the solutions.
SpurUP aims to significantly reduce GHG emissions, improve energy efficiency, and increase the deployment of renewable energy technologies. The project will promote sustainable industrial practices and better integrate peri-urban areas into planning processes.
The project employs a three-tier strategy to maximize impact and scalability. The first tier involves testing and validating solutions in the Living Labs. The second tier engages an external group of stakeholders, including regional and local authorities, to provide feedback and validate the solutions. The third tier focuses on scaling and replicating successful solutions across additional regions and local authorities in Europe and globally.
The rapid growth of Information and Communication Technology (ICT) and its ubiquitous presence in our everyday life has significantly affected the way government services are delivered today. This poses constant challenges to safeguard the data confidentiality and integrity of eGovernment services, while increasing their adoption and usage by citizens and businesses. GLASS catered for a ‘European Common Services Web’, bringing closer together citizens, businesses and European governments. The project introduced a citizen-centric eGovernance model that enabled beneficiaries to participate in a network for big data exchange and service delivery, which was by design digital, efficient, cost-effective, interoperable, cross-border, secure and promoted the once-only priority. The GLASS solution comprised (i) a reliable and efficient mechanism for data sharing, capable of addressing the complexity of the processes and their high demand on resources; (ii) an auditing mechanism ensuring immutability and transparency; (iii) an ecosystem for delivering mobile services tailored to the needs of its users; (iv) a single sign-on platform to manage the transactions with multiple services; and (v) an intercommunication layer, responsible for the secure exchange of information among operational stakeholders, as well as the integration of already existing eGovernance systems with newly developed ones. GLASS brought together twelve (12) interdisciplinary partners from eight (8) countries to deliver a novel eGovernance model and address the challenges that governance structures in the EU were facing at the time -from divergent and legal groundwork to physical and technological limitations- towards the further democratization and openness of the public administration services.
The IDEAL project seeks to foster a European public space for citizen deliberation that transcends linguistic and cultural barriers, utilising automated language tools and social innovation approaches. IDEAL will develop a unique methodology to support effective deliberation in multicultural and multilingual contexts underpinned by an in-depth analysis of the European participatory landscape. The IDEAL project seeks to foster a European public space for citizen deliberation that transcends linguistic and cultural barriers, utilising automated language tools and social innovation approaches. The project will develop a unique methodology to support effective deliberation in multicultural and multilingual contexts underpinned by an in-depth analysis of the European participatory landscape, the development of advanced AI-based tools and technologies, and rigorous testing in experimental field settings. IDEAL will leverage mechanisms of social innovation through design thinking, co-design, co-creation to deepen the scope and impact of its proposed methodology. Building on results from the Conference on the Future of Europe, deliberations initiated during the project will focus on issues related to European democracy, migration, health and wellbeing, jobs and social justice, and the rule of law. IDEAL will further develop Decidim deliberation platform functionality including multilingual evidence and open data for online multicultural training and support, backed up with real-time multilingual support services such as machine-effective translation simplification and subtitling and reading aloud applications. For offline environments, a user-friendly mobile application to support access to available multi-cultural resources (social indices, laws and regulations) will be developed. Finally, IDEAL will support the participation of users and their access to multilingual information in both modes through the development of a chatbot functionality embedded in the platform.
Other Resources: https://cordis.europa.eu/project/id/101178191