High Performance Language Technologies (HPLT) is a space combining petabytes of natural language data with large-scale model training. With trillions of words of text, the space will be the largest open text collection. Cleaning and privacy protecting services improve the quality and ethical properties of the text. Going beyond static repositories that require the user to individually analyze each data set, the project will rate data sets by how much they improve end-to-end language models and machine translation systems. Continuous integration of models and data will result in free downloadable high-quality models for all official European Union languages and beyond. The models will be reproducible with information and evaluation metrics shown in a publicly available dashboard. By focusing on training at scale, the project complements the inference-focused European Language Grid, which in turn will be used for model deployment. Datasets, models and information about them will be published in recognized FAIR data repositories, aggregation catalogues and marketplaces for easy discovery, access, replication, and exploitation.

As AI technologies and methodologies continue to advance swiftly, Europe has been actively developing and strengthening the ecosystem of frameworks, environments, tools and services required to boost innovation. This comprehensive approach aims to harmonise AI strategies across the continent, addressing the technology’s challenges and opportunities, while assessing its impact on public and private sectors, and society at large. Leveraging the ongoing momentum and LUMI’s successful history, the Finland led consortium responds to the HORIZON-JU-EUROHPC-2025-AI-01-IBA call by introducing the LUMI AI Factory Service Center project, part of the broader LUMI AI Factory ecosystem leveraging the current LUMI supercomputer but gearing up for the upcoming LUMI-AI system and the related AI-optimised quantum experimental platform LUMI-IQ.

Skills4EOSC brings together leading experiences of national, regional, institutional and thematic Open Science (OS) and Data Competence Centres from 18 European countries with the goal of unifying the current training landscape into a common and trusted pan-European ecosystem, in order to accelerate the upskilling of European researchers and data professionals in the field of FAIR and Open Data, intensive-data science and Scientific Data Management. Competence Centres (CC) are seen as centres of gravity of OS and EOSC activities in their countries. These entities can either be established national initiatives (as is the case of ICDI in Italy) or initiatives under establishment (e.g. Austria, Greece and the Nordic countries) or organizations which have the leading or mandated contribution to the OS activities nationally. CCs pool the expertise available within research institutions, universities and thematic and cross-discipline research infrastructures. They offer training and support, empowerment, lifelong learning, professionalization and resources to a variety of stakeholders, including not only researchers and data stewards, but also funders, decision makers, civil servants, and industry. Thanks to their position at the heart of the above described multi-stakeholder landscape, the CCs represented by the Skills4EOSC partners play a pivotal role in national plans for Open Science and in the interaction with scientific communities. They also have close access to policy makers and the related funding streams. The Skills4EOSC project will leverage this reference role to establish a pan-European network of CCs on OS and data, coordinating the work done at the national level to upskill professionals in this field. The Skills4EOSC CC network will drive the co-creation of harmonised trainer accreditation pathways, academic and professional curricula and skills quality assurance, recognition frameworks, and learning material creation methodologies.

EOSC-Nordic aims to facilitate the coordination of EOSC relevant initiatives within the Nordic and Baltic countries and exploit synergies to achieve greater harmonisation at policy and service provisioning across these countries, in compliance with EOSC agreed standards and practices. By doing so, the project seeks to establish the Nordic and Baltic countries as frontrunners in the take-up of the EOSC concept, principles and approach. EOSC-Nordic brings together a strong consortium of 24 partners including e-Infrastructure providers, research performing organisations and expert networks, with national mandates with regards to the provision of research services and open science policy, and wide experience of engaging with the research community and mobilising national governments, funding agencies, international bodies and global initiatives and high-level experts on EOSC strategic matters.

The mission of EOSC-ENTRUST is to create a European network of trusted research environments for sensitive data and to drive European interoperability by joint development of a common blueprint for federated data access and analysis. Countries and institutions have made significant investments in secure and trusted data environments to meet the need for research and policy-driven analysis of sensitive datasets such as people's health and socio-economic status, the habitats of vulnerable species and geo-spatial locations of protected sites. There are now a large number of such secure environments in operation - linked to national centres, individual organisations or specific research communities. This fragmented landscape poses challenges for both users and providers: researchers are faced with a large number of different systems and access procedures; providers need to manage federated access across multiple, potentially incompatible, technology and governance frameworks. EOSC-ENTRUST brings together providers of operational Trusted Research Environments from 15 European countries with a shared goal to implement, validate and promote their capabilities through a common European framework using shared standards and common legal, operational and technical language. This blueprint for interoperability is anchored in the EOSC Interoperability Framework spanning the four dimensions of Legal, Organisational, Technical and Semantic interoperability. EOSC-ENTRUST has identified four driver projects covering Genomics, Clinical trials, Social science, and public-private partnerships to benchmark capabilities, inform blueprint design and demonstrate secure data analysis using federated workflows. Targeted outreach activities will expand this open network with further providers and develop policy papers and guidelines for the full range of stakeholders to create a long-term operational TRE framework within the European Open Science Cloud.