SC4EU, a collaborative Innovation Action aims at strengthening European digital sovereignty by mitigation of the chip shortage through reduction of bullwhip effect in the semiconductor industry and supply chains containing semiconductors. This will be reached via a “truer”-demand signal gained from an anonymous MPC (Multi-Party Computation) survey on coarse granularity which will be broken down via AI methods to fine granularities following the semantic web based digital reference structure. The bullwhip effect has led to a range of negative outcomes, including excessive inventory, inventory write-offs, decreased revenue, workforce reduction, and ultimately, significant shortages, as observed in the last COVID years, during the financial crisis in 08/09 and during the .com crisis in the Zero Years. The ambition of SC4EU consortium is to overcome these obstacles and to obtain high-quality, reliable data for semiconductor demand forecasting. In the solution proposed by SC4EU, data should be gathered via an anonymous survey based on Multi-Party Computing technology. Anonymity and security of data flow will encourage business partners to share their true demand data. Then, the gathered data will be mapped onto ontologies (semantic representations of the semiconductor industry) and processed with AI tools for demand breakdown of fine granularity.

With a rapidly increasing degree of integration among the European countries, a rising number of events, such as Paris shootings and Brexit, strongly impact the European community and the European digital economy across language and country borders. This development results in a vast amount of event-centric multilingual information available from different communities in the news, on the Web and in social media. Cross-lingual technologies to efficiently access, analyse and interact with this information are of utmost importance for various stakeholder groups across Europe, including digital humanities, memory institutions, publishers, media monitoring companies and journalists. The Cleopatra ITN offers a unique interdisciplinary and intersectoral research and training programme addressing these challenges. The main objectives are to: 1) Facilitate advanced cross-lingual processing of event-centric textual and visual information on a large scale; 2) develop innovative methods for efficient and intuitive user access and interaction with multilingual information; 3) facilitate large-scale analytics of multilingual event-centric information and cross-cultural studies; 4) educate a group of top-level scientists with unique interdisciplinary and intersectoral expertise in multilingual information science who will be enabled to take leading roles in research and industry in the future; and 5) establish an interdisciplinary curriculum for cross-lingual information analytics. The main outcomes of Cleopatra include: 1) novel methods for event-centric cross-lingual processing; 2) highly innovative user interaction paradigms for multilingual information; 3) open large-scale data sets and software components for a variety of EU languages; and 4) an interdisciplinary curriculum and educational materials. Overall, Cleopatra will contribute to the European digital economy in several application domains and strengthen the European position in multilingual information science.

The LUMEN project is a groundbreaking initiative aimed at revolutionizing cross-domain collaboration and discovery processes in the fields of Mathematics (Maths), Social Sciences and Humanities (SSH), Earth System (ES), and Molecular Dynamics (MD), and beyond. Leveraging the successful GoTriple platform, renowned for its service to the SSH community, LUMEN seeks to extend its functionality to foster interoperability across scientific domains. Through interdisciplinary solutions spanning all four domains, LUMEN will redefine the process of discovery with radical innovations, simplifying initial research phases and facilitating access to advanced AI-powered tools for researchers. By expanding existing discovery platforms in the SSH and Maths domains and developing new platforms for other domains, LUMEN aims to fundamentally transform EOSC services, promoting innovative and customizable solutions for data discovery, attracting new users, and fostering Open Science principles. The project will also drive multidisciplinary cooperation through collaborative platforms and onboard new scientific communities into EOSC, providing them with the necessary tools. Ultimately, LUMEN seeks to revolutionize how research outputs are created, shared, and utilized across scientific domains, enhancing scientific discoveries, fostering interdisciplinary collaboration, and promoting innovation and trust in European scientific research.

Artificial Intelligence (AI) is transforming research, industry, and society, with Large Language Models (LLMs) playing a central role. While LLMs excel in natural language understanding, reasoning, and content generation, they also exhibit hallucinations, security vulnerabilities, ethical concerns, and regulatory issues. These challenges are particularly critical in healthcare and education, where accuracy, reliability, and fairness are essential. Addressing these shortcomings requires AI paradigms that enhance interpretability, robustness, and compliance. THIRDWAVE aims to establish an international, interdisciplinary network to advance LLM-driven neuro-symbolic AI, integrating symbolic AI with LLMs to create interpretable, reliable, and domain-aware systems. This approach enables AI to leverage structured knowledge, improve decision-making, and comply with domain-specific constraints, making it more applicable to real-world challenges. The project is structured around four key objectives: O1) Understanding LLMs: Analyzing capabilities and limitations to improve performance, usability, and trustworthiness. O2) Enhancing LLMs: Improving fairness, factual accuracy, and robustness through external knowledge sources and human collaboration. O3) Advancing LLM-driven Neuro-Symbolic AI: Developing hybrid systems that combine LLMs with symbolic reasoning for structured knowledge representation and better decision support. O4) Use Cases & Evaluation: Applying LLM-driven neuro-symbolic AI in healthcare, education, geodata, and food information engineering, validating scalability and societal impact. By fostering collaboration among AI researchers, domain experts, and industry partners, THIRDWAVE will bridge the gap between data-driven and knowledge-driven AI, ensuring LLMs become interpretable, ethically aligned, and domain-aware. The project’s findings will inform AI regulation, advance research, and drive innovation, contributing to responsible AI development.

Open Science (OS) is a central concept to the advancement of science in Europe through the 21st century. To promote a more transparent scientific agenda, scientists need to attain interdisciplinary and transversal skills beyond their specialisation. Researchers need to be experts in research management, aware of the diversity of intercultural research groups and disciplines, and manage stressful steps in their research. Importantly, researchers also need to be able to engage broader audiences, being confident, capable communicators.The OEduverse Strategic Partnership builds off the successful EDUWORKS MCA-ITN, aiming to establish a consortium focused on addressing this key labour market skills shortage. As such, the project is built on three central pillars:1). The development of psychological support training best practices; assisting researchers to understand the stresses of academia and develop positive cognitive frameworks to face the stresses of OS.2). Development of OS training; innovative teaching focused on publishing, understanding privacy and ethics, project management, all against the backdrop of the contemporary issues in OS.3). Promotion of OS and Engagement; focusing on developing storytelling ability of scientists through training in performance art, expanding their abilities to engage with non-scientific communities.Context/BackgroundOS skills are critical to academia and the corporate sector in the 21st century. Researchers need to be confident, capable communicators, experts in research management, aware of the diversity of intercultural research groups and disciplines, manage stressful steps, but remain open and innovative at the same time and integrate fundamental IT skills to support the analytical of their work. Together they are OS skills. The OEduverse project aims to establish a personalised training framework, to provide the foundations of OS skills training to early stage and experienced researchers, which reflects labour market needs.ObjectivesOEduverse will create and deliver high quality training content for groups of researchers active in diverse and interdisciplinary environments, in order to:1, Encourage lifelong learning to bridge the gap between individuals, education and the labour market. This will be accomplished via the development and the deployment of innovative courses organised into a learning programme, informed by timely embedded research. These courses include the development of a number of labour market critical skills, supporting OS like communication (effective communication and use of tone and breath), intercultural skills to understand and manage cultural differences, psychological skills to avoid stress and burnout and scientific communication skills.2, While encouraging continued education in this fields, we also aim to integrate a network of professionals, engaging a range of stakeholders from academia, industry, and governmental institutions, in order to create diversity and further inspire continues education.3, Raise awareness for the implications of a data-driven society (by using data science) in education, and work both, at organizational and policy level, and for the implications on OS training and the employment of researchers in the 21st century.ConsortiumThe University of Siegen (USI) has expertise in projects in the domain of applied knowledge management, intelligent systems, machine learning, and software development with a strong application, educational and analytical focus.The Technische Informationsbibliothek (TIB) supports specialist and research communities in their learning and work processes and is actively involved in activities that put forward the full switch of scientific publishing to Open Access, as envisioned by (among others) the European Commission.SciLink’s has expertise in the systematic approach to train transversal skills in a complex interdisciplinary and intercultural setting. SciLink organizes high quality workshops for groups of researchers (both early stage and experienced researchers) active in diverse and interdisciplinary environments.The Trinity Student Counselling Services (TCD), is empowering students to develop personal, interpersonal and academic skills as well as promotes positive student mental health, well-being and resilience, supporting students with their academic, personal and continuing professional development.MCAA is one of the largest European researcher alumni communities. Its members are high profile researchers and researchers in training. MCAA operates multiple internal European transnational working groups, in which the needs of research master and graduate students are researched.SPACE is an international performance group, having wide experience in immersive collaborative storytelling, documentary theatre, installations and flexible formats of ‘out of the box’ thinking, future scenarios, change management, team-building, and communication and negotiation skills.