Projects

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.

Key people:

Jan 2024 – Dec 2025

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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.

Key people:

Jan 2024 – Dec 2027

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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.

Key people:

Dec 2023 – Nov 2026

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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

Key people:

Dec 2023 – Nov 2026

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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.

Key people:

Sep 2023 – Aug 2027

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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.

Key people:

Jan 2023 - Feb 2026

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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.

Key people:

Jan 2023 - Jun 2026

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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.

Key people:

Dec 2022 - Nov 2025

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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.

Key people:

Dec 2022 - May 2026

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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.

Key people:

Dec 2022 – May 2025

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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.

Key people:

Nov 2022 - Oct 2025

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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.

Key people:

Sep 2022 – Aug 2025

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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.

Key people:

Sep 2022 - Aug 2026

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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.

Key people:

Sep 2022 - Aug 2025

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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

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completed

eTryOn’s mission was to modernize the way people create, consume, and experience fashion items by offering novel Human-Fashion-Interaction (HFI) applications using XR technologies (AR, VR) in order to enhance the creative process of fashion design, revolutionize the way people interact with fashion in the social media, and simulate the physical in-store experience for online shopping.

Key people:

Oct 2020 - Dec 2022

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completed

MediaVerse aimed to enable all sorts of content creators, from traditional publishers and freelance creators or artists to anyone who wants to share their ideas, to create and share their media while keeping control of their intellectual property rights. It aimed to provide a set of tools to support all steps in this process, namely co-creation tools, social analytics tools, a decentralized network to share the media, AI-supported tools for content analysis, blockchain-enabled tools, and automated language translation and other tools to facilitate the creation of accessible media.

Key people:

Oct 2020 - Sep 2023

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AI4Media aims to address the challenges, risks, and opportunities that the wide use of AI brings to media, society, and politics. The project aspires to become a centre of excellence and a wide network of researchers across Europe and beyond, with a focus on delivering the next generation of core AI advances to serve the key sector of Media. Its goal is to ensure that the European values of ethical and trustworthy AI are embedded in future AI deployments and to reimagine AI as a crucial beneficial, enabling technology in the service of Society and Media.

Key people:

Sep 2020 - Aug 2024

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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.

Key people:

Jan 2020 - Jun 2024

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completed

News.vid.io aimed to disrupt the news media landscape by providing a set of tools that empower journalists to create engaging news stories through targeted video mashups. The project developed a service-based platform that managed content from professional videos and User-Generated Content (UGC). The platform allowed the collection of videos related to a news event, and then their automatic annotation based on content and viewpoint, their organization, and mixing into summaries to be integrated into news stories. Beyond a simple “money saving through automation” platform, News.vid.io aimed to leverage monetization for tomorrow’s media by delivering more engaging news streams, supported by easy-to-consume video summaries presenting the key concepts and viewpoints for the unfolding stories.

Key people:

Mar 2019 - Aug 2020

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completed

WeVerify aimed to address the complex content verification challenges through a participatory verification approach, open source algorithms, low-overhead human-in-the-loop machine learning, and intuitive visualizations. Social media and web content analyzed and contextualized within the broader online ecosystem, in order to expose fabricated content, through cross-modal content verification, social network analysis, micro-targeted debunking, and a blockchain-based public database of known fakes.

Key people:

Dec 2018 - Nov 2021

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completed

The vision of the project is to develop a complex multiparametric approach of changing attitude and behavior of the trip makers in urban areas, through the ICT usage and their applications. The challenge is twofold: from one side to replace the traditional option of private car usage with alternative modes such as the bicycle by promoting in parallel the common vision of sustainable transport, and from the other to gradually replace the ownership approach and philosophy with the new approach of shareship.

Key people:

Jun 2018 – Dec 2021

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completed

FuturePulse aimed to help music companies leverage a variety of music data and content, ranging from broadcasters (TV, radio) and music streaming data, to sales statistics and streams of music-focused social media discussions, interactions and content, through sophisticated analytics and predictive modelling services to make highly informed business decisions, to better understand their audience and the music trends of the future, and ultimately to make music distribution more effective and profitable. FuturePulse offered these capabilities over a user-friendly, highly intuitive and visual web solution that will enable the immersion of music professionals in the realm of music data, and will support them to make highly informed and effective business decisions.

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Sep 2017 - Nov 2020

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completed

In this context, the main objective of the TENSOR project was to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organized activities, radicalization, and recruitment. The platform integrated a set of automated and semi-automated tools for efficient and effective searching, crawling, monitoring, and gathering online terrorist-generated content from the Surface and the Dark Web.

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Sep 2016 - Aug 2019

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completed

The InVID innovation action developed a knowledge verification platform to detect emerging stories and assess the reliability of newsworthy video files and content spread via social media.

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Jan 2016 - Dec 2018

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completed

We developed tools and services that aided in Social Media verification. We looked at verification from a journalistic and enterprise perspective.

Key people:

Nov 2013 - Dec 2016

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completed

SocialSensor offered technologies for analyzing the activity in social networks with the goal of discovering trending and high-quality content, identifying influencers, sentiment around discussed topics, and establishing links between different online sources. In addition, the project created new means of retrieving, delivering, and presenting media content and information in easily digestible ways and in mobile settings.

Key people:

Oct 2011 - Oct 2014

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