At the heart of the iMedius project lies a visionary approach, blending advanced digital analysis with the nuanced understanding of social sciences. Our ambition is to forge new pathways in understanding the dynamics of news dissemination and its profound impact on audiences across diverse media landscapes. iMedius is set to revolutionize the way we monitor and analyze the fast-paced world of news, leveraging cutting-edge multidisciplinary methodologies.

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Jan 2024 – Dec 2025

MELIORA aims to bring sustainable behavioural change to reduce effectively and cost-effectively the risk of breast cancer through the development and implementation of a novel intervention. The MELIORA intervention will be implemented in real-world settings in assorted studies targeting different social groups, including women at risk of developing cancer, cancer patients and survivors both in rural and urban areas. Particularly, these intervention studies will evaluate behavioural to nutritional, physical and alcohol consumption improvements fostering sustainable behavioural change.

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Jan 2024 – Dec 2027

AI-CODE is aiming to research and develop novel generative-AI-based solutions dedicated to media professionals and thus support creation and dissemination of trustful and credible online content. It reflects on rapid technological advancement not only in the area of generative AI but also in next-generation social media, which are just around the corner.

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Dec 2023 – Nov 2026

EU defence capabilities are confronted with fast-emerging challenges and highly adaptive threats in land, maritime and air domains. To ensure superiority, novel methods, concepts and multi-sensor platforms are needed for enhanced, covert target sensing and increased situational awareness. CASSATA intends to provide improvements in a whole range of Covert Sensing domains: 1/ CASSATA will implement innovative technologies to improve the covertness of optronics sensors as well as their capabilities of detection, tracking, classification and identification 2/ To CASSATA will study three types of sensors (Acoustic/seismic networks for area surveillance, MEMS based acoustic sensors and Opto-acoustic sensors) that contribute to the network of sensors providing coverage for previously undetectable targets in challenging environments 3/ CASSATA will implement innovative technologies and/or upgrade current technologies to provide covert RF sensors (radar and RF Direction Finding) or to improve their capabilities of detection and tracking for vehicles, sea surface targets, air targets (from low size drone to high speed targets). 4/ In CASSATA, the use of new generation techniques (data fusion and collaboration techniques, Artificial Intelligence, Machine Learning) will be applied to maximize the ISR capabilities of the sensing systems themselves, as well as those of the multi-sensing platforms/ Techniques, methodologies and solutions studied and designed in CASSATA will be tested and validated in appropriate simulation and/or laboratory environment following a use-case oriented approach. To achieve its objectives, CASSATA will unleash a large, inclusive & industry-driven consortium to provide more accurate and effective covert sensing solutions: • demonstrated under strict SWaP-C requirements • enabling information superiority down to the tactical level • responding to a top priority of the EU Capability Development Pl

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Dec 2023 – Nov 2026

ELIAS aims at establishing Europe as a leader in Artificial Intelligence (AI) research that drives sustainable innovation and economic development. We will create a Network of Excellence connecting researchers in academia with practitioners in the industry to differentiate Europe as a region where AI research builds towards a sustainable long-term future for our planet, contributes to a cohesive society, and respects individual preferences and rights.

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Sep 2023 – Aug 2027

The spread of fake news (disinformation) on social media impacts society at individual and collective levels. Defined as the intentional spread of unreliable information, disinformation actually spreads much faster than humanly possible to monitor and analyse. In this context, the EU-funded AI4TRUST project will develop a hybrid system based on machine-human cooperation and advanced solutions based on AI. The idea is to support media professionals and policymakers in tackling disinformation. This system will make it possible to monitor numerous online social platforms in almost real time. It will flag content with a high risk of being disinformative for expert review by analysing multimodal (text, audio, visual) and multilingual content with novel AI algorithms.

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Jan 2023 - Feb 2026

RESCHOOL improves the way energy communities operate by enhancing the technology and behaviour of their users. This will help to make these communities more efficient and effective in their use of energy. Currently, the energy sector is responsible for 72% of the EU’s green house gas emissions, this situation calls for a rapid and effective decarbonization of all sectors. Reaching the sustainability targets negotiated under the Green Deal requires facing the green transition towards clean energy by increasing the renewable share and efficient use of energy. RESCHOOL aims to increase the active participation of communities in energy markets, enhancing and facilitating the management and trading of flexibility in cooperation with sectoral players.

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Jan 2023 - Jun 2026

The aim of the DisAI project is to enhance the scientific excellence of KInIT and the consortium partners in trustworthy AI and multimodal natural language processing and multilingual language technologies to combat disinformation. Disinformation spreading threatens European democratic values and tackling it is a European level priority. As the amount of disinformation grows, AI and in particular language technologies have a crucial role in detecting disinformation. To meet the European goals, it is increasingly important to develop tools and methods for disinformation combating also for low resource languages. KInIT, the widening partner from Slovakia, has taken a leadership role in shaping the R&I landscape of Slovakia by boosting cross-sectorial, interdisciplinary, and international collaboration. The ambition of KInIT is to strengthen AI to combat disinformation, an area that especially in Slovak digital space contributes to the development of AI technologies and tools for low resource languages and growing awareness of online disinformation. To achieve scientific excellence of KInIT, the activities of the project aim to increase the research capacity and excellence of scientists at different career levels in multilingual and multimodal language technologies and trustworthy AI. Together with leading partners German Research Center for Artificial Intelligence, Centre for Research and Technology Hellas and Copenhagen University, a joint Research project on claim matching as well as networking and mobility activities will be organised. Importantly, transfer of know-how on innovation and creativity for facilitating industry-academia collaboration and boosting the skills of the research managers and administrative staff will be part of the capacity building programme.

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Dec 2022 - Nov 2025

An important crosscutting need for Artificial Intelligence is to create technologies for trustworthy autonomous and frugal learning, i.e. the ability of a system to adapt and learn from its environment, including from user supervision, for a reasonable cost and without intervention from expert developers nor regression. Such technologies can be highly disruptive and have high impacts for many capabilities, especially when the information to manage is highly variable or unpredictable and high adaptability is needed. These technologies can also alleviate the current need to provide data to the system developers to get improvements depending on such data, which can be critical when the data is confidential, and is thus critical for defence. They can more generally enhance technological independence. Selected actions should include the organisation of technological challenges addressing well-defined goals in order to bootstrap and drive progress toward answering identified defence needs, while leveraging civil research and generating spill over effects. Within the FaRADAI project, current advances in AI technologies will be thoroughly researched in parallel with a detailed study of the main challenges imposed by a defence system. Aiming at significant breakthroughs in AI, the models will accelerate their wider application and deployment in defence systems increasing their impact and the overall performance.

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Dec 2022 - May 2026

MedDMO addresses the need of the European Digital Media Observatory (EDMO) to expand its regional coverage in EU countries and create a multinational, multilingual, and cross-sectoral hub focused on fact-checking, research, and education to counter disinformation in Malta, Greece and Cyprus. Several multimedia analysis tools are made available to assist fact-checkers and researchers in their work against disinformation. Media literacy activities and the organisation of awareness campaigns will be central to MedDMO, trying to build resilience and adaptability against disinformation among citizens and media in the Mediterranean region.

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Dec 2022 – May 2025

MAMMOth aims at developing an innovative fairness-aware AI-data driven foundation that provides the necessary tools and techniques for the discovery and mitigation of multi-discrimination and ensures the accountability of AI-systems with respect to multiple protected attributes and for traditional tabular data and more complex network and visual data. The outcomes of research in MAMMOth will be made available both as standalone open-source components and integrated into an open source toolkit “MAMMOth toolkit”. The project also comprises active interaction with multiple communities of vulnerable and/or underrepresented groups in AI research, implementing a co-creation strategy to ensure that genuine user needs and pains are at the center of the research agenda.

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Nov 2022 - Oct 2025

Artcast4D aims to produce a global framework for the EU Cultural and Creative Industry for producing multi-user, multi-site, multiplatform, non-invasive immersive and interactive user experiences. Artcast4D will be based on an existing real-time 2D/3D graphics architecture (AAASeed) and an original design for flexible sensing projection devices (D-Lamp, D-Floor), integrating technologies and techniques such as multi target tracking (location & body tracking and interaction), individual detection tracking recognition (face & gestures tracking and interaction) and remote touch interaction. Four different pilots with four different scenarios will showcase the potential capabilities of Artcast4D.

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Sep 2022 – Aug 2025

RELEVIUM's mission is to improve the quality of life of advanced pancreatic cancer patients through an AI-guided multimodal intervention, combining pain and cachexia management, nutrition, and physical activity.

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Sep 2022 - Aug 2026

vera.ai seeks to build trustworthy AI solutions against advanced disinformation techniques, co-created with and for media professionals and set the foundation for future research in the area of AI against disinformation. Key novel characteristics of the AI models will be fairness, transparency (including explainability), robustness to new data, and continuous adaptation to new disinformation techniques.

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Sep 2022 - Aug 2025

REBECCA's primary objective is to enhance clinical research and optimize existing clinical workflows through the utilization of Real-World Data (RWD). The project will integrate clinical data with information collected from wearable devices (such as physical activity, eating habits, and sleep patterns), online behavior data obtained through a browser plugin (including website visits, search queries, and social media interactions), as well as registry data. Leveraging this wide range of data sources, REBECCA aims to study the complex array of chronic comorbidities developed during breast cancer recovery.

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Apr 2021 - Mar 2025

Systems based on artificial intelligence (AI) are increasingly being used in applications automatically issuing decisions or assessments. They can impact individuals or groups of people with regard to important questions like payments or medical treatment but AI bias can be an issue. The sources of biases of AI decisions can be automatically derived data; algorithms processing data; or use of applications. To eliminate AI biases on all of three stages, the EU-funded NoBIAS project will develop fairness-aware algorithms. They will be based on ethical and legal principles and designed as technical solutions in a multi-disciplinary effort of 15 researchers trained in computer science, data science, machine learning, law and social science, and other fields.

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Jan 2020 - Jun 2024