Current – Multimodal Data Fusion and Analytics Group

PHAROS

PHAROS The Greek AI Factory for accelerating AI innovation PHAROS is Greece's national AI Factory, established within the European network of AI Factories and co-funded by the European Union and the EuroHPC Joint Undertaking. Its mission is to accelerate trustworthy AI innovation and strengthen the country's productivity, while addressing pressing social, economic and environmental challenges through the responsible use of AI. Acting as a one-stop shop, PHAROS bridges academic research, industry needs and public policy, guiding users across the entire AI lifecycle through three layers of services — HPC/AI services and tools; procedures, workflows and functionalities; and business innovation services — powered by the pre-exascale DAEDALUS supercomputer (≥60 PFlops). It delivers ready-to-use AI services, compliant with the AI Act, GDPR and standards on fairness, transparency and security, tailored to startups…

HARMONICA

HARMONICA HUMAN-MACHINE KNOWLEDGE, SKILLS, AND DEXTERITY HYBRID AUGMENTATION IN ADVANCED RECYCLING MANUFACTURING Workers in advanced recycling manufacturing face a variety of risks. These include exposure to hazardous chemicals, dust, and biological agents, in addition to physical hazards associated with heavy machinery and repetitive movements. These risks can lead to respiratory problems, skin irritation, physical injuries, and chronic health issues. HARMONICA’s unique vision is to transform current cognitive and physical augmentation technologies into more supportive tools for operators within the contexts of hazardous environments such as advanced recycling manufacturing. To do this, HARMONICA starts from a human centric perspective, enabled by digital twin modelling. This will enhance the safety and efficiency of human operators in dynamics and hazardous environments through a Psy-PhyTwin, which embeds cognitive and physical submodels of workers into…

TWINVERSE

TWINVERSE The Federated Universe of AI-Enhanced Digital Twins to Achieve Climate Neutrality of Urban Environments The TWINVERSE project aims to support European cities in accelerating their transition towards climate neutrality, resilience, and social inclusion through a federated ecosystem of interoperable, AI-enhanced Local Digital Twins. To achieve this, TWINVERSE follows five main complementary approaches: (1) upgrading and federating existing Local Digital Twins, (2) developing human-centred, explainable AI services for urban intelligence, (3) integrating these services into city governance and climate-planning processes, (4) building the capacity of city authorities and expanding a cross-sectoral community of practice, and (5) supporting replication, market uptake, and long-term sustainability. The technical pillar will connect city Digital Twins through the TWINVERSE Data Space Suite, enabling secure and standardised exchange of urban data, models, and services. In parallel,…

TWIN4CITIES

TWIN4CITIES Intelligent Digital Solutions for Transforming Urban Ecosystems into Resilient Climate-Neutral Entities TWIN4CITIES supports cities in becoming more climate-neutral, resilient, inclusive, and efficiently managed through an integrated ecosystem of AI-enabled Local Digital Twins. The project combines interoperable urban data infrastructures with advanced modelling, simulation, and decision-support tools to help cities monitor conditions, assess risks, and explore alternative development scenarios. Participatory 3D visualisation and XR technologies will enable citizens, planners, and public authorities to better understand proposed interventions and contribute to urban co-design processes. Through stakeholder engagement, pilot demonstrations, and systematic evaluation, TWIN4CITIES will promote evidence-based planning, more efficient use of resources, and the replication of its digital solutions across European cities. M4D contributes by defining the project’s technical, environmental, economic, and social performance indicators and coordinating the evaluation of results…

CIRCAT

CIRCAT Cybersecurity Infrastructure Resilience, Collaboration, and Advanced Training CIRCAT aims to strengthen the cybersecurity resilience of large industrial installations and other critical infrastructure sectors identified under the NIS2 Directive by deploying AI-driven cybersecurity tools and advanced cyber range capabilities. The project will support organisations in improving their cybersecurity posture through continuous risk assessment, penetration testing, and specialised cybersecurity training within realistic and controlled Cyber Range environments. The project will implement continuous monitoring and near real-time risk assessment mechanisms to provide organisations with enhanced visibility of cyber risks and vulnerabilities by integrating AI-based threat detection, vulnerability prioritisation, and automated mitigation strategies that enable proactive cyber defence, optimise resource allocation, and reduce incident response times. Furthermore, CIRCAT will integrate Cyber Threat Intelligence (CTI) feeds into its Cyber Range infrastructure to support realistic…

S2B-HopOn

Traditional security frameworks often lack the integration required to swiftly connect threat detection with public health responses during biological emergencies. S2B-HopOn addresses the critical need for enhanced biosecurity and bio-preparedness across Europe by bridging the gap between security forces, first responders, and health professionals to ensure a unified, rapid, and effective response to biological incidents. By prioritizing the transition from initial security alerts to comprehensive bio-preparedness, the project aims to deliver innovative solutions that: Enhance cross-sectoral cooperation among law enforcement, civil protection, and health authorities. Develop advanced tools for the early detection and rapid identification of biological agents. Improve risk assessment models and decision-support systems for effective crisis management. Enhance training methodologies and promote joint exercises for European first responders. Contribute to the development of future European policies and standards…

VOLABIOS

VOLABIOS Validation and Comparitive Multi-Omics Benchmarking of Fluid-Derived Volatilomics Biomarkers for the Prevention and Early detection of Schizophrenia VOLABIOS aims to transform the early detection and clinical management of schizophrenia (SZ) by leveraging innovative and real-time spectrograph technology to certify that volatile organic compounds (VOCs) can be utilized as non-invasive and cost-effective biomarkers for the early detection of the disease. Underscoring the urgent need for accurate, accessible diagnostic tools, VOLABIOS will conduct large-scale prospective clinical studies involving 3,692 participants across six European centres and a blind validation cohort of 1,000 subjects. Special emphasis is placed on the longitudinal monitoring of individuals at high risk to identify VOC signatures that indicate early transition to SZ. In order to gain further insights and to strengthen the evidence supporting the use of VOCs,…

ECHO

ECHO ECHO - Empowering and Connecting Diverse Communities for Multi-Hazard Resilience with Open Data, Open Models, and Open-Source Software ECHO is a three-year EU-funded project that builds a pan-European, multi-level Resilience Ecosystem to help cities and regions anticipate, withstand, and recover from complex, interconnected threats. It focuses on safeguarding both legally defined critical infrastructures and often-overlooked essential service providers that keep urban and peri-urban communities functioning. The project brings together critical infrastructure operators, emergency and essential service providers, and local and regional authorities to move from fragmented, top-down, and asset-centric approaches toward inclusive, integrated, and service-focused resilience management. ECHO promotes a shift from short-term, event-driven crisis response to long-term service life-cycle resilience, emphasising robustness, adaptability, and continuity over time. At the core of ECHO is an EU-sovereign Knowledge Hub and…

SWARMER

SWARMER SWARMER - Swarming Autonomy in non-peRMissive EnviRonments Unmanned Aerial Systems (UAS) have become essential assets for situational awareness and tactical support in modern defence operations. The current generation of UAS relies heavily on Global Navigation Satellite Systems (GNSS) for positioning and mission execution. However, in contested environments, adversaries try to take advantage of such vulnerability by employing electronic warfare tactics, including jamming and spoofing, to deny satellite access. Such "non-permissive environments" can render standard remotely piloted systems ineffective, limiting the operational capability of defence forces to locate targets or surveil areas of interest safely. There is a pressing need for systems that can operate autonomously and reliably without external navigation signals or continuous data links to a ground station. The SWARMER project addresses this capability gap by developing a…

OSPREY

OSPREY OSPREY - Online Safety and Security for Protection of Public-Facing Professionals and Democratic Resilience Public-facing professionals (PFPs) form the backbone of modern democratic institutions. Yet in recent years, the erosion of democratic values has exposed journalists, judges, elected officials, and others who operate in the public eye, to growing levels of hostility and risk. The visible nature of their work makes them vulnerable to online harms, understood as behaviours in digital environments that may inflict physical, emotional, or reputational damage. With the rapid expansion of AI-driven content generation and manipulation, these threats now extend not only to PFPs themselves but also to their families, whose personal lives can be targeted, amplified, or fabricated at scale. Despite the urgency of the issue, efforts to understand and mitigate online harms against…

DETECTOR

DETECTOR DETECTOR – Deepfake Evidence and Technology for Forensic Content Oversight and Research AI is transforming law enforcement, offering new tools for policing but also enabling advanced criminal tactics that challenge traditional methods. The global nature of crime, including cyber threats, trafficking, and terrorism, calls for innovative solutions as LEAs face vast data volumes and increasingly sophisticated criminal activities. AI has raised concerns with deepfakes – highly realistic but fake audio, video, or text that can depict individuals saying or doing things they never did. Deepfakes pose serious risks, impacting politics, economy, and social trust. Examples include fabricated videos of political figures and voice-cloned audio for financial fraud, often spread through social networks to deceive and defraud on a large scale. Forensic institutes and courts struggle to differentiate authentic evidence…

CROSSMARE

CROSSMARE CROSSMARE – Advanced cross-border and multi domain interoperability framework for improved collaborative operational efficiency for secure maritime borders Maritime surveillance is crucial for achieving maritime situational awareness (MSA) and to effectively prevent, protect, and respond to critical security challenges (e.g., illicit commercial activities, irregular migration, pollution, terrorist attacks). CROSSMARE aims to overcome existing challenges in border and maritime surveillance by introducing a layered maritime surveillance network and an interoperability framework that integrates the space, air, surface, and underwater domains within a comprehensive monitoring picture, enhancing MSA and surveillance capabilities. To achieve this, a consortium of 17 big industries, SMEs, RTOs, and end-users a) utilize cutting-edge technologies in the context of maritime surveillance: High Altitude Platform Stations; Remotely Piloted Aircraft Systems; High-Res SAR Sat imagery; Unmanned Aerial Vehicles; Autonomous Underwater…

Citadel Range

Citadel Range Cyber Infrastructure for Training in Advanced Defence Exercises and Learning CITADEL Range seeks to upgrade European defence technology in the field of cyber ranges. The vision is built on the strategic shift in the EU’s cyber defence agenda where a clear move has taken place from cyber responsive operations to full spectrum cyber defence operations. Given this, the next-generation cyber range modular products and concepts aim to provide tailored solutions for the entire value chain of cyber forces. This means that the focus is set strongly on 1) the needs of the EU and its Member States, and 2) the needs of holistic cyber defence as opposed to civilian cyber security. The project delivers a selection of advanced capabilities that enable cyber forces to conduct training, exercising, and…

XTRUST-6G

XTRUST-6G Extended zero-trust and intelligent security for resilient and quantum-safe 6G networks and services XTRUST-6G aims to establish a robust security framework for 6G ecosystems, grounded in the zero-trust security architecture and prioritizing resilience, privacy, and dependability. At its core, the project will implement dynamic access control through a context-aware, risk-based policy engine that leverages cyber-threat intelligence and behavioral insights from 6G infrastructure. The project will design proactive security tools for 5G+/6G networks, integrating real-time threat intelligence and foresight to enable early detection and response. It will enable AI-driven, zero-touch end-to-end protection for massively connected 6G ecosystems. Furthermore, XTRUST-6G will enhance visibility, real-time monitoring, and automated security orchestration in 5G+/6G. To ensure trustworthiness and regulatory compliance, the project will implement blockchain-based identity verification and decentralized trust management. It will also…

VICTORIOUS

VICTORIOUS VICTORIOUS - Innovative Ai-Enhanced, Remotely Powered, Indirect Fire Observation System Utilizing Unmanned Vehicles Indirect fire support is a crucial component of modern military operations, primarily involving the use of artillery, mortars, rockets, and other indirect fire weapons to engage and neutralize enemy targets that are not within the direct line of sight of the firing unit. Unlike direct fire, where weapons are aimed directly at visible targets, indirect fire relies on the projection of projectiles on a trajectory that allows them to reach targets that may be beyond the observer's line of sight or hidden behind obstacles, such as hills, buildings, or forests. Indirect fire support is typically used to strike at distant or concealed enemy positions, fortifications, and areas of strategic importance, making it a fundamental element of…

AQUAMON

AQUAMON AQUAMON: Advanced QUAlity MOnitoring system of water in urbaN areas Urban water pollution, resulting from rapid urbanisation, industrialization, and climate change, poses a significant threat to public health and environmental impact, compromising water quality. Specifically, water quality deterioration is linked to diffuse pollution from pollutant surface and groundwater bodies, disrupting biodiversity and the quality of aquatic ecosystems while exacerbating the global water crisis. Traditional urban water management plans do not include a holistic monitoring approach to address emerging water pollution ignoring important water pollution sources and pathways. Detecting, preventing, and responding timely to these threats can ensure the preservation of clean and safe water sources and work towards a resilient and sustainable water future across Europe that prioritises both public health and environmental well-being. By committing to the destination…

DISARM

DISARM Disarming the silent threat of ovarian cancer Ovarian cancer (OC), a malignant tumour in one or both ovaries, is the most lethal of female gynecologic cancers in Europe. Often referred to as a “silent killer,” OC is typically diagnosed at an advanced stage due to its subtle, non-specific symptoms, and the lack of effective screening, underscoring the urgent need for improved early detection strategies. As one of the most heritable forms of cancer, with a significant proportion of cases linked to family history and genetic predisposition, OC also highlights the critical importance of multifactorial risk assessment tools to accurately identify high-risk individuals and enable targeted prevention. The DISARM project addresses these critical challenges of hereditary OC by advancing both multifactorial risk assessment and early detection through cutting-edge technologies. By…

NAMOR

NAMOR A Novel compact and Advanced hybrid Microalgae-membrane photobioreactor Optimized for Retrofitting decentralized water and wastewater management systems The NAMOR project is pioneering a next-generation, decentralized water treatment solution that integrates co-cultivation of microalgae and bacteria with advanced membrane filtration in a modular, plug-and-play system. Designed to support a sustainable and resilient urban water cycle, NAMOR enables localized treatment of diverse water and wastewater streams with minimal energy use and environmental impact. Demonstrated across three climate zones (high, medium, and low temperatures) and under varying lighting conditions, the hybrid system ensures robust, high-quality effluent production tailored to specific site needs. The project also emphasizes biomass valorization for nutrient and energy recovery, reinforcing circular economy principles. At its core, NAMOR integrates a digital twin—enhanced with sensor networks and predictive analytics—for real-time…

BIOSMATER

BIOSMATER Re-designing the construction sector: Sustainable and functional bio-based construction products and building elements The BIOS MATER aims to develop and demonstrate advanced bio-based construction products and building elements with tailored functional properties such as durability, fire resistance, water barriers, acoustic and thermal insulation, lightweight structure, mechanical strength, and antimicrobial features, ensuring safety and sustainability. At the core of the concept are the four Production routes which are built around four pillars. Specifically: Production route A will focus on the development of bio-based core products and sandwich structure for flooring applications, Production route B will focus on the development of bio-based wall panels and flooring tiles, Production route C will focus on the development of fiber reinforced bio-resin composite panels applied as exterior façade cladding panels and Production route D…

SPICE

SPICE Sustainable Public spaces through Inclusive Community Engagement The overall aim of SPICE is to provide a new model of participatory co-creation in (re)shaping neighbourhoods. SPICE aspires to develop, test, and validate innovative community engagement approaches towards defining an evidence-based model to co-design, co-create, and maintain public spaces in four European neighbourhoods. By fostering transdisciplinary synergies and inclusive participation, leveraging cutting-edge digital tools, and promoting circular and regenerative construction practices, the project will address critical societal challenges, enhance social cohesion, highlight EU values such as democratic participation, diversity in cultures and languages, and social inclusion, and support the European Green Deal's objectives and New European Bauhaus (NEB) principles. M4D is the coordinator of the SPICE project and leads the Work Package on Digital Tools for Co-Creation, which constitutes the technological…

KOBAN

KOBAN Identifying future capabilities for Community Policing Across Europe society is changing due to demographic, technological and economic developments. Communities are getting more diverse, both in real life and online. This challenges Law Enforcement Agencies (LEAs) to engage with, and to reassure, communities about safety and security matters in a trustful way. The changing status quo is significantly shaping perceptions of policing, requiring adaptive strategies. To address these challenges, the KOBAN project will create an innovative, research and practice-based Community Policing (CP) initiative, adopting an evidence-based approach. It will focus on co-creation and collaborative security between LEA and non-LEA community members, leading to mutual trust and respecting each other’s contributions. This results in a greater sense of security, whilst contributing to an overall increase in the efficiency and effectiveness of…

AINATURE

AINATURE Exploitation of AI for the protection of the natural resources in the ADRION region The monitoring and management of natural and man-made disasters has been a great issue in the Adriatic-Ionian region, as justified in the programme document and also underlined in the relevant policies addressed (EUSAIR, Green Deal, S3, etc). More specifically, AINATURE will focus on the use of AI tools (and contemporary technologies) for the early detection and monitoring of three major challenges faced by ADRION countries: - Pollution of open surface water resources and associated warnings: through the adjustment of the AI tool developed in aqua3S and PathoCERT projects (H2020), the partners will be able to detect pollution and alterations in the water surface and receive related warnings. - Floods monitoring: through the adjustment of the…

SAFEGUARD

SAFEGUARD SAFEguardinG pUblic spAces through intelligent thReat Detection tools SAFEGUARD aims at developing a next-generation holistic suite of tools that significantly improve LEA capabilities to protect public spaces against terrorist attacks through the entire lifecycle of their operations. To this end, SAFEGUARD leverages the successful outcomes of EU-funded projects (S4AllCities, CONNEXIONs, CREST, PREVISION, PRAETORIAN), providing a complete and powerful framework for intelligent threat detection relevant to the context of safety of public spaces. The outcomes of the project will result in the improvement of public spaces, such as malls, open crowded areas and events by deploying tools and technologies for acquiring intelligence regarding terrorist attacks and supporting LEA operations in an efficient and effective manner. Moreover, SAFEGUARD aspires to develop knowledge on the potential use of AI techniques and algorithms…

MaaSAI

MaaSAI MaaSAI | Agile Manufacturing as a Service through AI Autonomous Agents The goal of the project is the creation of the MaaSAI System, a comprehensive digital system to automate and facilitate interactions between suppliers of manufacturing systems (Providers) and manufacturing companies (Consumers) in a Manufacturing-as-a-Service (MaaS) ecosystem, in an agile, efficient, and transparent manner. The MaaSAI System aims to revolutionise manufacturing and remanufacturing processes by facilitating access to flexible and decentralised capacities, through the MaaS business model, which extends the principles of the service-oriented economy to the manufacturing industry. The MaaSAI System aims to contribute to the reduction of the heavy investments that manufacturers have traditionally had to make to set up and maintain their operations. With an emphasis on production flexibility, agility, and responsiveness, the MaaSAI System enables…

ENSEMBLE

ENSEMBLE ENhanced AI-baSEd cybercriMe-oriented collaBorative investigation technologies and capabiLitiEs ENSEMBLE aims to enhance the capabilities of multiple stakeholders involved in (cross-border) joint cybercrime-oriented investigations by developing (i) a modular AI-based forensically sound investigation ToolBox to assist LEAs in fighting sophisticated cyber-threats and cybercrimes, (ii) relevant training material for Police Authorities, prosecutors, and judicial actors involved in such investigations, and (iii) appropriate public awareness campaigns for early identification and prevention of cybercrimes. M4D is responsible for the coordination of the ENSEMBLE project and is also tasked with its Scientific and Technical management. M4D contains a critical role across the whole project as the leader of the Work Package that is responsible for the development of AI-based tools that are used to enhance the decision support during investigations, the correlation of data…

DTRIP4H

DTRIP4H Enabling Decentralised Digital Twin Era in existing Research Infrastructures for Predictive, Preventive, Personalised, and Participatory Health DTRIP4H project emerges as a research effort to advance predictive, preventive, personalized, and participatory health paradigms within the EU. Amid significant incidence of chronic conditions and cancer, there is a pressing need for a proactive shift in health strategies. Yet, the full potential of European research infrastructures (RIs) is curtailed by investment deficits, fragmentation, and the intricacies of data management. Digital Twin (DT) technology introduces a new age of precision by enabling sophisticated simulations and analyses of intricate biological processes. DTRIP4H aims to start a new initiative in Europe “decentralized health digital twin ecosystem consisting of RIs” by using DTs, to resolve critical challenges around data harmonization, equitable access, and stringent privacy safeguards.…

CARMA

CARMA Collaborative Autonomous Robots for eMergency Assistance CARMA aims to co-create, through a user-centred iterative methodology involving a complementary set of end-users and social sciences and human (SSH) experts, a groundbreaking, modular and intuitive platform offering a complementary set of semi-autonomous and autonomous Unmanned Ground Vehicles (UGVs) capable of working in symbiosis with humans to support and supplement first responders and assist citizen in a wide range of disaster situations, including those with very low visibility. The project will build on the most advanced research results, including those from the INTREPID project, in the field of disaster robotics making them autonomous thanks to novel 3D radar-based environment mapping and analysis combined with Artificial Intelligence (AI) for enhanced path and mission planning as well as victim and threat detection. Symbiotic operations…

TEXTAILES

TEXTAILES TEXTile digitisAtIon tooLs and mEthodS for cultural heritage The TEXTaiLES project aims to redefine the digitisation of Cultural Heritage (CH) textile objects and the development of AI-based processing tools, establishing a standardised protocol seamlessly integrated into the European Collaborative Cloud for Cultural Heritage (ECCCH). By studying past and present practices in textile digitisation, TEXTaiLES methodically explores their strengths and limitations. The project will develop advanced tools that address the entire digitisation lifecycle of textile objects, focusing on non-destructive methods. Using robotic, cost-effective multi-sensor solutions, TEXTaiLES ensures the preservation of artefacts during digitisation, complemented by reliable data analysis workflows. The project integrates state-of-the-art AI technologies to illuminate the intricate details of textiles. From revealing their weaving patterns and microstructures to identifying degradation factors, the AI-driven toolkit offers in-depth insights. It…

IDEATION

IDEATION InlanD watErs in the digitAl Twin OceaN IDEATION (InlanD watErs in the digitAl Twin OceaN) aims to develop a digital twin of inland waters (rivers, lakes, reservoirs, wetlands, snow, and ice). The project focuses on activities to ensure this digital twin is integrated and interoperable with the Digital Twin Ocean (DTO), creating a unified digital twin of the ocean and waters, thereby addressing the hydrosphere as a whole. IDEATION will rely on cross-border cooperation and the involvement and commitment of stakeholders at the European level by following the Water-oriented Living Labs (WoLLs) approach. Stakeholders will be engaged via Multi-Stakeholder Forums (MSF) using various engagement methodologies, such as focus groups, workshops, interviews, and questionnaires, tailored to the goals of the engagement and the context specificities. A comprehensive review will be…

TESSERA

TESSERA Towards thE dataSetS for the European secuRity dAta space for innovation The European Security Data Space for Innovation (EU SDSI) has been recognized as the cornerstone for implementing the European Data Strategy in the security domain, aiming at Europe’s data sovereignty, while having as ultimate goal to increase trust in the use of Artificial Intelligence by Law Enforcement. In this context, TESSERA aims to conduct the preparatory work for the creation of high-quality large-scale trusted and shareable datasets based on identified operational use cases, thus supporting the European Security Data Space for Innovation. Particular focus will be given on analyzing and defining the requirements ensuring the interoperability and shareability of heterogeneous datasets, whilst considering their compliance to privacy preservation and protection of fundamental human rights. TESSERA also aims to…

iDriving

iDriving Intelligent & Digital Roadway Infrastructure for Vehicles Integrated with Next-Gen Technologies iDriving aims to deliver a TRL 6 prototype based on seven key pillars, all designed to work synergistically to create an interactive, accurate and efficient solution to improve infrastructure safety of urban and secondary rural roads. (i) A Safety Criteria Catalogue (SCC) for all road users for secondary and urban roads. This establishes a benchmark for safety standards and KPIs, forming the foundational blueprint that guides all aspects of the iDriving system. (ii) Common communication solutions, ensuring a seamless and real-time exchange of data across a diverse range of sensors from various vehicles and road infrastructures. (iii) Innovative sensor integration on compact packages. These can be easily deployed and maintained on both vehicles and road infrastructure, particularly on…

ENACT

ENACT European Network Against Crime and Terrorism The programming of Security R&I is a highly sensitive exercise, which has grown in complexity during the past years. Moreover, the uptake of innovation stemming from EU-funded security R&I projects remains a challenge. The goal of ENACT is to set up a Knowledge Network for Security R&I in the Fighting Crime and Terrorism area capable of i) supporting the EU-funded FCT security R&I cycle and the overall community and market actors with actionable evidence, and ii) boosting the Innovation Uptake of the outcomes and results stemming from FCT Security funded R&I projects. ENACT brings together the most unique blend of knowledge, background, skills, resources and connections to: i) deliver a network-enabling service that facilitates the exchange of knowledge and value within the wider…

DATAWiSE

DATAWiSE Intelligent and Sustainable Building Management powered by Cross-Sectoral Lifecycle The overall objective of DATAWiSE is to develop and test building and building portfolio management tools, leveraging cross-sectoral lifecycle data, on the basis of an open, secure, interoperable, and scalable framework, to maximize both energy efficiency and stakeholder value. Utilizing cutting-edge artificial intelligence and advanced analytics, the methodology integrates data from a variety of sources to provide a holistic understanding of building operations. Besides technological innovation, the project also incorporates a supportive market and policy framework designed to offer evidence-based pathways for widespread adoption and commercialization. DATAWiSE aims to provide a standardized approach for managing and exploiting building-related big data. M4D is the coordinator of DATAWise project. It is also responsible for the scientific and technical management of the project,…

W2W

W2W A Wood-to-Wood Cascade Upcycling Valorisation Approach The W2W project will produce and validate a comprehensive framework for multi-dimensional cascade valorisation of wood from C&D and furniture waste, consisting of four core components: 1) Advanced separation & sorting technologies: Adaptive Separation and Sorting system based on cascade valorisation thresholds, making use of human-robot collaboration and mixed reality technologies 2) Upcycling Processes and Technologies: mechanical, chemical, and bioremediation processes to recover wood or resources from waste and use them in new products which have the same quality as the ones produced by primary resources3) Digital Tools for Improving Circular Flows of Secondary Materials: LCA-based tool to predict and assess the impact of different cascade paths, Supply Chain Management Tool for the optimisation of upcycling of secondary materials, Digital Product Passport, and…

HYPER-AI

HYPER-AI Hyper-Distributed Artificial Intelligence Platform for Network Resources Automation and Management Towards More Efficient Data Processing Applications HYPER-AI overarching objective is the development of the required mid-tier and the necessary cloud-edge connectors that will enable the seamless integration of heterogeneous computing environments and the establishment of new-generation interoperable and adaptive hybrid computing ecosystems exploiting cognitive clouds and edge intelligence beyond today’s limitations. HYPER-AI objectives are listed as follows: Design and implement the HYPER-AI open architecture that will empower swarms of nodes to develop collaboratively collective intelligence, bringing the computation closer to the edge, utilizing decentralized AI/ML-based intelligence. Ensure dynamic cognitive and informative optimized decision-making across all phases of the application lifecycle (design, execution, maintenance) through continuous inference resources. Develop autonomic system entities ensuring autonomous Smart-Nodes and rapid coordination of Smart-Nodes…

TeamUP

TeamUP Holistic Capability and Technology Evaluation and Co-creation Framework for Upskilled First Responders and Enhanced CBRN-E Response Countries worldwide, amid threats and incidents targeting civilians, invest in reinforcing their CBRN-E related capabilities. In Europe and in most cases, the teams responding first are not trained specifically, nor equipped sufficiently to face the kind of hazards, to provide assistance to victims and to follow the decontamination processes that a CBRN-E incident implies. At the same time, resources are limited, exercises and trainings are siloed per organization, lacking of proven procedures, and digital tools. A step-by-step approach needs to include (1) detection of the CBRN-E threat, (2) triage of casualties and (3) on-site decontamination before the provision of medical aid. TeamUP addresses these challenges by developing an innovative toolkit for the detection,…

REACTION

REACTION REal-time ArtifiCial InTellIgence for BOrders Surveillance via RPAS data aNalytics to support Law Enforcement Agencies During the past decade, Greece and Cyprus, being both part of the external EU borders, have been called to address major challenges associated with the socio-political situation in their surrounding territories and adjacent countries. In particular, irregular migration flows exert significant pressure on the relevant authorities and agencies that operate at respective border territories. Moreover, armed conflicts, changes in climate conditions, and unpredictable factors occurring at the EU external borders, have increased the number of reported transnational crimes including irregular migration. Smuggling, human trafficking, and irregular migration activities are major concerns for South Eastern EU Borders particularly, as monitoring the routes used is hindered by vast sea and mountainous, densely forested areas and rough…

ACTING

ACTING Advanced European platform and network of Cybersecurity training and exercises centres The ACTING project delivers an organized and coordinated approach to proactively improve efficiency of cyber defence training and exercises in the European Union, through effective and efficient multi-sector collaboration. The 28 Partners, from 13 MSs, will execute a 48-month work plan to develop, model, and demonstrate a network of advanced interconnected (federated) domain-oriented cyber ranges for training and exercises, incorporating sophisticated methods and techniques for simulation of users, analysis of the performance of the cyber operators, and scoring cyber security situational awareness, supported by leading-edge scenario development language. The ACTING project integrates study, design, prototyping, and testing activities in the domain of cyber security. In order to justify the capabilities of the proposed approach and resulting tools and…

R3VOLUTION

R3VOLUTION A rEVOLUTIONary approach for maximising process water REuse and REsource REcovery through a smart, circular and integrated solution R3VOLUTION (R3V) project will revolutionize industrial water management in the EU, providing key innovations that can enable economically, environmentally and operationally water reclamation projects (by addressing solutes and energy recovery challenges), and generate significant impact for the EU in the next decade. To pave the way towards sustainable and efficient water and resource consumption, R3V takes on the challenge of developing and demonstrating a resource recovery solution that will enable >90% water reuse across most intensive water industries, applicable upstream and downstream, whilst recovering >45% effluents solutes, >50% waste heat reuse and eliminate 100% of hazardous substances. R3V will investigate, develop and demonstrate tailored membrane-based treatment trains coupled with waste heat,…

ONCODIR

ONCODIR Evidence-based Participatory Decision Making for Cancer Prevention through implementation research Colorectal cancer (CRC) is one of the most common cancer types and its increased occurrence may be attributable to adverse health behaviours, especially in lower socioeconomic status populations. Stemming from the specific risk factors identified with CRC, ONCODIR integrates multidisciplinary research methods from health policy analytics; social and behavioural science; AI-powered multi-omics and retrospective data analytics as well as decision support theories to deliver evidence-based cancer prevention programmes and innovative AI-powered personalised prevention approaches. ONCODIR recognises that the evaluation of the ONCODIR prevention programmes needs to address cost effectiveness, affordability and cost benefit parameters. Thus, it will also investigate cost balancing and demand generating financial schemes that will lead to enhanced CRC prevention programmes. The coherent technological ecosystem that…

ThinkingEarth

ThinkingEarth Copernicus Foundation Models for a Thinking Earth ThinkingEarth views the Earth as a complex unified and interconnected system. To harness the power of Artificial Intelligence (AI), cutting-edge techniques such as deep learning, causality, eXplainable AI, and physics-aware Machine Learning are used. Predictive abilities of Self-Supervised Learning and Graph Neural Networks to develop task-agnostic Copernicus Foundation Models and a Graph representation model of the Earth are leveraged. The potential of these assets are demonstrated through small-scale downstream Spotlight Applications, as well as large-scale use cases that integrate distributed industrial and user non-EO datasets. These use cases address ambitious problems with high socio-environmental impact and new business growth opportunities, such as accelerating Europe’s clean energy transition and independence from volatile fossil fuels, understanding Earth’s processes by modelling causal Earth system teleconnections,…

CYCLOPS

CYCLOPS Automated end-to-end data life cycle management for FAIR data integration, processing and re-use The CYCLOPS project is dedicated to advancing data integration and management across diverse and evolving data sources. It directly aligns with the European Strategy for Data, aiming to cultivate a cohesive data market. CYCLOPS sets its sights on pivotal future EU data spaces: tourism and mobility, the green deal, public procurement, and manufacturing. These four (4) thematic areas form the core of CYCLOPS's mission to establish a groundbreaking framework for the comprehensive governance of the data lifecycle. Through the application of Artificial Intelligence (AI) in Artificial Intelligence Operations (AIOps) and Data Operations (DataOps), augmented by Knowledge Graphs (KGs) and a human-in-the-loop approach, CYCLOPS strives to automate data processing pipelines. This approach is designed to eliminate data…

CVDLINK

CVDLINK A federated paradigm of real-world data sources utilization for the empowerment of diagnosis, prognosis and risk assessment of cardiovascular conditions The CVDLINK project is dedicated to addressing the significant challenge of cardiovascular disease (CVD) within the EU, where over 6 million new cases and 1.8 million deaths are reported annually. Recognizing the urgent need for effective prevention strategies, CVDLINK employs a scientific approach aimed at transforming the management, treatment and research of cardiovascular disease through data-driven innovation. The project aims to tackle challenges related to data availability and management by implementing a privacy-by-design European-wide federated platform-as-a-service (PaaS). The goal is to deliver effective data-driven human-centric interventions and the advancement of research and management in the CVD domain. An essential part of the project is the development and implementation of…

SEISMEC

SEISMEC Supporting European Industry Success Maximization through Empowerment Centred development SEISMEC pioneers a transformative approach to digital and industrial technology development, focusing on empowerment, human-centricity, and ethical principles. Through 17 pilot projects across 19 companies in 14 countries and diverse industrial sectors, SEISMEC aims to drive a paradigm shift. The project aims to demonstrate the concept of human-centricity in diverse industry sectors and contexts. Its objectives include empowering skilled workforces, addressing challenges related to advanced workplace technologies, and fostering innovation through evidence-based recommendations. SEISMEC stands as a landmark effort in reshaping European industry toward empowerment and human-centricity, with a strong emphasis on worker security and satisfaction The project evaluates the benefits of human-centricity across various dimensions such as creativity, collaboration, autonomy, and productivity, using CAPS empowerment factors introducing technical innovations…

MELIORA

MELIORA Multimodal Engagement and sustainable Lifestyle Interventions Optimizing breast cancer Risk reduction supported by Artificial intelligence MELIORA Consortium will jointly work with local actors at different levels for the realisation of eight (8) in total tailor-made lifestyle intervention and behavioural modification studies, including Artificial intelligence and digital tools, to promote sustainable behavioural changes among three target populations: i) healthy women at risk of developing breast cancer, ii) breast cancer patients and iii) breast cancer survivors. The studies will take place across 4 different European countries (Greece, Sweden, Spain and Lithuania) and 6 piloting centres targeting 2000 women in urban and rural areas including participants throughout the socioeconomic spectrum. Primary health care centres, hospitals or patients’/survivors’ organisations will be used as entry points to the community. The goal of the MELIORA…

ARIEN

ARIEN ARtificial IntelligencE in fighting illicit drugs production and traffickiNg ARIEN proposes the execution of a comprehensive workplan that thoroughly addresses the call topic aligned to the 2021-2025 EU Drugs Action Plan achieved through a holistic innovation action that builds a real-time intelligence picture for illegal drug production and trafficking incidence across the EU. This action is bolstered by AI-driven tools to understand, detect, analyse and track the entire drugs trafficking chain, its financial flows and the role of black-markets in the global darknet and their relationships with social media. ARIEN builds on a strong platform of multi-disciplinary research, following a co-creation approach, across the criminological, societal, and legislative landscapes. The designed platform will make recommendations for harmonization and drive an agenda for the development of modular solutions embedding modern…

i-Game

i-Game Building a community for the co-creation of games with high impact on innovation, sustainability, social cohesion and growth The i-Game project aims to create an accessible open-source game development platform that will facilitate the co-creation of games by diverse actors within different ecosystems of cultural and creative sectors and industries (CCSI), to enhance innovation and to bring positive impact on social cohesion and sustainability. More specifically, i-Game aspires: 1) To engage video game stakeholders of different abilities, expertise, and disciplines, to contribute, learn, share and tap into new innovative and economic opportunities; 2) To provide a collaborative platform with the tools to co-create mobile and virtual reality games by engaging different users, from different backgrounds and sectors; 3) To develop an ethical-design culture in the video game industry; 4)…

CASSATA

CASSATA Covert and Advanced multi-modal Sensor Systems for tArget acquisiTion and reconnAisance Funded by the EU, the CASSATA project, with a consortium of 27 organizations from 9 countries, including defense groups, academic labs, research organizations, and SMEs, aims to advance covert sensing technologies for defense applications by developing and testing multi-modal sensor systems. The concept of CASSATA relies on exploiting (1) optronics, (2) acoustics/seismic sensing, (3) RF and radar systems, and (4) adaptive and collaborative sensing to enhance European armed forces’ target acquisition and reconnaissance capabilities. CASSATA will implement innovative technologies to improve the covertness of optronic sensors as well as their capabilities of detection, tracking, classification and identification. Both acoustic and seismic sensors will provide a wide area surveillance system which ensures the long-range detection and classification of targets…

VANGUARD

VANGUARD adVANced technoloGical solutions coupled with societal-oriented Understanding and AwaReness for Disrupting trafficking in human beings VANGUARD aims to strengthen the fight against trafficking in human beings (THB) at the nexus of advanced technological solutions, understanding, awareness raising, and training to disrupt the trafficking chain at an early stage and address the culture of impunity. It aims to provide an improved intelligence picture of THB, with particular focus on THB for purposes of sexual exploitation, labour exploitation, and forced criminality. This will be achieved through developing a modular and trustworthy suite of tools for detecting, identifying, investigating, and preventing online-facilitated THB activities and THB-related activities at (border) checkpoints based on the analysis of online multimedia content and multimodal streams, by leveraging the latest advancements in Artificial Intelligence (AI). It will…

NANCY

NANCY An Artificial Intelligent Aided Unified Network for Secure Beyond 5G Long Term Evolution The overall aim of NANCY is to introduce a secure and intelligent architecture for the beyond the fifth generation (B5G) wireless network. Leveraging AI and blockchain, NANCY enables secure and intelligent resource management, flexible networking, and orchestration. In this direction, novel architectures, namely point-to-point (P2P) connectivity for device-to-device connectivity, mesh networking, and relay-based communications, as well as protocols for medium access, mobility management, and resource allocation will be designed. These architectures and protocols will make the most by jointly optimizing the midhaul, and fronthaul. This is expected to enable truly distributed intelligence and transform the network to a low-power computer. Likewise, by following a holistic optimization approach and leveraging the developments in blockchain, NANCY aims at…

FALCON

FALCON Fight Against Large-scale Corruption and Organised Crime Networks Current evidence suggests that the global fight against corruption faces serious challenges: policy decisions are not well informed, the corruption landscape is complex and enormous, while measuring corruption is so far mostly based on subjective approaches, and there is lack of appropriate technological tools to support anti-corruption. To address these challenges, FALCON is designed and dedicated to support the composition, update and management of comprehensive corruption intelligence pictures, within domains and jurisdictions of interest. This will be accomplished following a multi-actor, evidence-based, data-driven approach, building upon existing assets and prior work of consortium partners. FALCON will, first, develop and validate objective and actionable indicators of corruption that can be used to inform policy decisions. Second, it will design, implement and integrate…

TESTUDO

TESTUDO Autonomous Swarm of Heterogeneous resources in infrastructure protection via threat prediction and prevention As its surroundings changes radically and climate conditions deteriorates, Europe and its Members adapt to these current challenges. To this end and in order to maximise their usability, the EC established a framework of a common policy (EU Security Market study) by categorizing potential technologies per security domain, including Critical Infrastructure (CI) Protection. This trend is indicative for the importance and significancy that the EC gives to these matters. Any potential disruption, either intentional as a terrorist attack or a natural disaster, may risk smooth operations of such structures that may have a severe impact on a local society and its daily activities or well-being. Current advancements in various technologies can be particularly beneficial in CI…

SINCERE

SINCERE The second life of modern period architecture: Resilient and adaptive renovation towards net-zero carbon heritage buildings Today, 19th and 20th c. modern period buildings are the trademark of numerous European cities, forming a great part of EU Built Heritage, reflecting and shaping the identity of our local, national and multinational societies. Considering that historic buildings are ineffective in terms of energy consumption for heating and cooling, among the biggest restoration and renovation challenges is to enhance the energy performance of historic buildings. SINCERE aims to elucidate the values of Built Heritage and provide the tools for optimizing the carbon footprint and energy performance of historic buildings, towards the requirements of net-zero-carbon-buildings, by utilizing innovative, sustainable, and cost-effective restoration materials and practices, energy harvesting technologies, ICT tools and socially innovative…

SYNERGISE

SYNERGISE A novel integrated SYstem of Systems streNgthening tEchnical and logistical capacities to ensure better Response to emerGencies by synergIStically addrEssing FRs capability gaps The SYNERGISE project aims at boosting the efficiency and safety of first responders during life-saving missions. The SYNERGISE team will develop a Novel Integrated Toolkit for Collaborative Response and Enhanced Situational Awareness (NIT-CRES). The toolkit shall improve the management of natural and man-made disasters whilst boosting collaboration between first responders to increase mission effectiveness and victim detection at highly challenging and complex incident sites. This will comprise a multitude of tools and services required for: 1) boosting situational awareness and sense-making by offering them the means to autonomously and synergistically perform indoor and outdoor exploration of incident sites towards victim identification whilst receiving at all times…

FUELPHORIA

FUELPHORIA Accelerating the sustainable production of advanced biofuels and RFNBOs – from feedstock to end-use FUELPHORIA will set-up and test value chains for advanced biofuels and renewable non-biological fuels in Europe, establishing sustainable, competitive and secure value chains for advanced biofuels. The project contributes to the objectives of the European Commission’s 2022 REPower EU Plan “to scale-up renewables, achieve electrification, and replace fossil-based heat and fuel in industry, buildings, and the transport sector”. A versatile range of processes including but not limited to chemical, biological, and photo-biological processes will serve as the scaffold to convert different feedstocks into an array of renewable fuels of quality specifications defined by end-users in the transport (e.g. maritime and road) and in the power (e.g. gas or oil-fired thermal plants) production sector. Four demonstrators…

CONNECTOR

CONNECTOR CustOms exteNded iNteroperablE Common informaTiOn shaRing environment CONNECTOR aims to support the European Integrated Border Management (EIBM) and the EU Customs Action Plan by emphasising the importance of collaborative efforts among Customs, Border and Coast Guard Authorities in managing borders, especially under current and future challenging circumstances. This objective can be achieved through Customs participation in the Common Information Sharing Environment (CISE) network and Enhanced Common Information Sharing Environment (e-CISE) via the proposed Customs Extended Common Information Sharing Environment (CE-CISE). CONNECTOR proposes an integrated, common, and shared risk assessment approach for all Border Management Authorities. This approach considers pan-EU common risk indicators for each end user group, including Customs, Border and Coast Guards Authorities, as well as FRONTEX. Its aim is to safeguard the external EU border, protect EU…

PRECRISIS

PRECRISIS PRotECting public spaces thRough Integrated Smarter Innovative Security PRECRISIS aims to strengthen the protection of public spaces by preventing terrorist attacks and violent crimes and mitigating their impacts. It will promote integrated smarter innovative security through the empowerment of law enforcement authorities, first responders, local managers of public spaces and related security stakeholders, enhancing public-private cooperation. PRECRISIS will develop, test, and roll out innovative, sustainable, and effective AI-based digital solutions and practical toolkits, in full compliance with ethical standards and related legislation on the protection of personal data, by integrating existing expertise, best practices and privacy-by-design approaches to make public spaces more secure. Technological innovation delivered by the PRECRISIS Platform will provide identification of potential vulnerabilities connected to public spaces and a real-time simulation of plausible scenarios before, during…

EMPOWER

EMPOWER Uptake of new generation AI Powered Investigative tools for LEAs The application of AI methods to Big Data heralds a new era in Law Enforcement, increasing the operational capabilities of Law Enforcement Agencies (LEAs) in fighting and predicting crime. Promising tech solutions and tools are being developed within the framework of EU and nationally funded R&I projects reaching TRL 6-7 and applicable to a wide number of investigative fields. Building up from such previous and ongoing R&I projects (AIDA, DANTE, GRACE, STARLIGHT), the overall goal of EMPOWER is to foster the uptake of innovative solutions based upon AI powered tools allowing LEAs to increase their capabilities in such investigative fields. To this end, EMPOWER will pilot test a total of 8 investigative tools in the fields of Image/Video, Voice/Text…

ONCOSCREEN

ONCOSCREEN A European “shield” against colorectal cancer based on novel, more precise and affordable risk-based screening methods and viable policy pathways ONCOSCREEN: A EUROPEAN “SHIELD” AGAINST COLORECTAL CANCER Modern healthcare systems need to offer new non-invasive methods for colorectal cancer screening and to improve its early detection. Such methods need to be affordable, accessible, and applicable to large parts of the population in order to effectively prevent the development of colorectal cancer. ONCOSCREEN project responds to this challenge and plans to develop a ground-breaking set of technologies and methods for colorectal cancer screening. In close cooperation with other Mission Cancer projects, ONCOSCREEN will provide solutions for risk-stratified cancer screening programmes for citizens, an integrated diagnostic decision support tool for clinicians as well as intelligent monitoring tools for policy makers. The…

UP2030

UP2030 Urban Planning and design ready for 2030 UP2030 aims to support cities in driving the socio-technical transitions required to meet their climate neutrality targets by leveraging urban planning and design. Within the project city stakeholders and local authorities will be supported and guided to put neutrality on the map of their communities in day-to-day actions and strategic decisions. An innovative methodology (5UP-approach) will be developed and applied through the co-development and implementation of science-based - yet practical - tools, and methods. Inclusive participation is key throughout the project’s full cycle of activities so that real needs of communities are reflected in the city-specific visions, and co-designed interventions maximise delivery of co-benefits. As such, UP2030 will have a measured positive impact on spatial justice in the pilots and give the…

BeOpen

BeOpen BeOpen an Open framework for boosting EU High ValueDatasets from Public Sector In the last decade, open data production related to Public Sector is quickly increased due to different factors, in particular: EU Open Data Directive fostered the openness of specific typology of datasets from the Public Sector (i.e. High Value Datasets); the improvement of the smart city paradigms (e.g. IoT deployments, digital twins) has dramatically improved the production of city-related data accessible by citizens; private companies are more and more contributing to public sector/utilities data availability used by citizens in their everyday life. Anyway, actual data use by third-party services still remains a challenge; a lot of data produced by public authorities, even “officially open”, is still not discoverable or is accessible only by humans, in a heterogeneous…

ICARIA

ICARIA Improving ClimAte Resilience of crItical Assets The frequency of natural disasters has steadily increased over the past two decades. It is far from irrational to assume that this trend could be significantly worsened in a short and long-time period according to reported climate change projections. With the help of a multidisciplinary team and a firm foundation, ICARIA aims to advance the use of asset-level modeling to better understand the direct and indirect effects of climate change caused by complex, cascading and compound disasters as well as the related risk reduction provided by suitable, sustainable, and affordable adaptation solutions. ICARIA focuses on both critical assets and infrastructures taking into account potential climate changes that can increase unexpected outages and failures, including but not limited to housing, natural, and land areas.…

PERIVALLON

PERIVALLON Protecting the EuRopean terrItory from organised enVironmentAl crime through inteLLigent threat detectiON tools PERIVALLON aims to provide an improved and comprehensive intelligence picture of organised environmental crime and develop effective and efficient tools and solutions for detecting and preventing such types of criminal activities and for assessing their environmental impact based on geospatial intelligence, remote sensing, scanning, online monitoring, analysis, correlation, risk assessment, and predictive analytics technologies, by leveraging the latest advancements in Artificial Intelligence (AI) in the fields of computer vision and multimodal analytics. As a result, enhanced investigation processes and methodologies will be derived through the capabilities provided by the developed tools and solutions, and the insights obtained though the proposed Environmental Crime Observatory. The capacity of end users (including Police Authorities and Border Guards) will also…

TeChBioT

TeChBioT Surveillance and Reconnaissance Techniques for Chemical & Biological Threats Threats associated with chemical, biological, radiological and nuclear (CBRN) hazards include natural disasters, accidental incidents during the installation or transportation of hazardous materials, as well as intentional incidents, such as terrorist attacks or state-sponsored events. Over the past decade, CBRN threats that originate deliberately have persisted or even increased. However, the COVID-19 pandemic is the event that has generated the most attention regarding the social, political, and economic consequences of CBRN crises in general, as well as biological/ health emergencies and civil protection mechanisms. Important gaps and weaknesses remain in rapid detection, identification, and monitoring of low-volatile chemical warfare agents (CWAs) and non-volatile biological warfare agents (BWAs), mainly in complex natural environments. Gas chromatography combined with mass spectrometry (GC-MS) or…

DYNAMO

DYNAMO Dynamic Resilience Assessment Method including combined Business Continuity Management and Cyber Threat Intelligence solution for Critical Sectors The scope of DYNAMO is to combine the two fields of business continuity management (BCM) and cyber threat intelligence (CTI) to generate a situational awareness picture for decision support across all stages of the resilience cycle (prepare, prevent, protect, response, recover). Professionals of different backgrounds will work together with end-users to develop, refine and combine selected tools into a single platform. In alignment to end-user needs, human factors, high ethical standards and societal impacts, DYNAMO includes the following goals: Resilience assessment as basis for BCM - An assessment with different levels of detail offers with varying existent data a fast or detailed evaluation of the investigated sector and helps to identify critical…

MultiRATE

MultiRATE Holistic framework for the MatUrity evaLuaTIon of ReAdiness level for security TEchnologies In recent years, there are plenty of metrics that try to evaluate the maturity of products/systems/processes when identifying their deployment readiness. Even though a significant effort has been made to integrate such widely used frameworks, methodologies and indicators in products/systems/processes, their usage by EU funded security R&I projects has been limited. As a result, a robust scaling framework is more than of utmost importance. The proposed MultiRATE scaling framework will rely on existing established readiness level approaches and will formally combine them into one acceptable and reliable framework. MultiRATE will be able to evaluate and apply the readiness of all aspects of products/systems/processes. It will make a thorough research on the existing methodologies and will develop a…

FaRADAI

FaRADAI Frugal and Robust AI for Defence Advanced Intelligence 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…

DiMAT

DiMAT Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials The DiMAT project addresses the sustainability and resilience of processes and systems within the materials manufacturing industry. An important takeaway from crises such as climate change and the pandemic was that sustainable action and resilient processes need to be the standard, not the exception. The digital transformation in the manufacturing industry (Industry 4.0, smart factory, etc.) is weakly coupled with materials science and engineering, a fact most prominent when considering that the share of the materials production cost is about 30-55 %, but the energy cost to produce a component is about 2-8 %. Large companies benefit from the close collaboration of the scientific community and the industry for the development of Integrated Computational Materials Engineering (ICME),…

SUN

SUN Social and hUman ceNtered XR The SUN Horizon Europe project aims at investigating and developing extended reality (XR) solutions that integrate the physical and the virtual world in a convincing way, from a human and social perspective. The virtual world will be a means to augment the physical world with new opportunities for social and human interaction. Relevant limitations that will be addressed are: • Lack of solutions to develop scalable and cost-effective new XR applications. • Lack of convincing solutions for mixing of the virtual and physical environment. • Lack of plausible and convincing human interaction interfaces in XR. • Barriers due to resource limitations of end-user devices. The SUN project develops solutions to surpass the aforementioned limitations, including: • Scalable solutions to obtain plausible and convincing virtual…

ENCRYPT

ENCRYPT A scalable and practical privacy-preserving framework The deluge of big data, accompanied by developments in software and hardware technologies leveraging them, has created new opportunities for research and industry. The main challenges, though, faced by researchers and service providers working with personal data, are stemming from the fact that these data need to be processed in a privacy-preserving way, as they contain sensitive information. Although several technologies have been developed to facilitate the processing of data while preserving privacy, they have not made significant inroads into real use cases, due to several reasons. ENCRYPT will develop a scalable, practical, adaptable privacy preserving framework, allowing researchers and developers to process data stored in federated cross-border data spaces in a GDPR compliant way. Within this framework, a recommendation engine for citizens…

WATERVERSE

WATERVERSE Water Data Management Ecosystem for Water Data Spaces The WATERVERSE mission is to develop a Water Data Management Ecosystem (WDME) for making data management practices and resources in the water sector accessible, affordable, secure, fair, and easy to use, improving usability of data and the interoperability of data-intensive processes, thus lowering the entry barrier to data spaces, enhancing the resilience of water utilities and boosting the perceived value of data and therefore the market opportunities behind it. WATERVERSE takes a holistic, interdisciplinary approach in the water domain, blending together complementary competencies of 17 partners located in 10 EU countries, representing the water domain with Research organizations (including social sciences experts), water utilities, water domain technology providers and innovation companies, as well as the technical community that is driving the…

TALON

TALON Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0 Next-generation industrial systems promise to deliver unprecedented excellence not only in terms of performance, but also explainability, trustworthiness and transparency. To achieve this new objectives, state-of-the-art concepts of artificial intelligence (AI), edge-to-cloud (E2C) computing, blockchain, and visualisation need to be de-risked and applied. Motivated by this, TALON aims at sculpturing the road towards the next Industrial revolution by developing a fully-automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable, explainable, energy and data efficient manner. M4D, the participating team from CERTH, contributes in the definition of TALON’s user and system requirements for the various use cases and the overall system, as well as in the definition of the KPIs, requirements, and the technology…

AIDEAS

AIDEAS AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies. AIDEAS will deploy 4 integrated Suites: 1) Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components; 2) Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation; 3) Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions; 4) Repair-Reuse-Recycle: AI…

ReSilence

ReSilence Retune the Soundscape of future cities through art and science collaboration The main objective of the ReSilence project is to support the development of art-driven technologies for designing the soundscape of future cities through the collaboration of artists, architects, urban designers, scientists, engineers and researchers, and targeting AI and XR tools addressing primarily challenges from the Urbanism/Mobility sector while exploring the borders between music and noise, and user experience measurements assessing a soundspace. The project ReSilence builds on the novel and prima facie paradoxical observation that elements of city life tend to become more silent, allowing us to question which sounds are necessary for safety and environmental awareness, and which sounds can be made more pleasant. Nowadays city planners, architects, engineers, and other scientific experts are urgently studying the…

RAISE

RAISE Research Analysis Identifier SystEm The EU-funded RAISE project aims to address the challenge of an open, fair and reliable Research Community, where every researcher will be accredited for its work and all research data will be equally accessible for processing without violating data protection regulations. RAISE vision is to provide the infrastructure for a distributed crowdsourced data processing system, moving from open data to open access data for processing. RAISE will produce the mechanism for sending the algorithm to the dataset instead of sending the data to the algorithm. The success of such an application will provide to users a transparent way of processing and sharing data, enabling the research community to publish their outcomes with evidence-based authenticity of the data-analysis performed, ensuring at the same time the accreditation…

XRECO

XRECO XR mEdia eCOsystem While media organisations increasingly support non-linear experiences for the consumer, those are still limited to single channels and media domains. Although several media organisations have recently succeeded in breaking data silos, data sharing is mostly limited to the organisation. Thus, there are challenges for producing content feeding multiple channels with different granularities and structures, mainly related to data discovery, management and (re-)use. XRECO will create a new data-driven ecosystem for the media industry, focusing on facilitating data sharing, search and discovery and supporting creation of news and entertainment content, in particular, the creation and (re-)use of location-related 2D and 3D assets and the creation of XR experiences. The ecosystem core, represented by a Neural Media Repository (NMR), will foster inter-organisation content sharing and provide increased access…

SILVANUS

SILVANUS Integrated Technological and Information Platform for wildfire Management SILVANUS envisages to deliver an environmentally sustainable and climate resilient forest management platform through innovative capabilities to prevent and combat against the ignition and spread of forest fires. The platform will cater to the demands of efficient resource utilisation and provide protection against threats of wildfires encountered globally. The project will establish synergies between (i) environmental; (ii) technology and (iii) social science experts for enhancing the ability of regional and national authorities to monitor forest resources, evaluate biodiversity, generate more accurate fire risk indicators and promote safety regulations among citizens through awareness campaigns. The novelty of SILVANUS lies in the development and integration of advanced semantic technologies to systematically formalise the knowledge of forest administration and resource utilisation. Additionally, the platform…

TREEADS

TREEADS A Holistic Fire Management Ecosystem for Prevention, Detection and Restoration of Environmental Disasters TREEADS aims to build upon state-of-the-art products and unite them in a holistic Fire Management platform that optimizes and reuses the available socio-technological resources in all three main phases of wildfire management. For the Prevention and Preparedness phases, TREEADS proposes the use of a real-time risk evaluation tool that receives multiple classification inputs and works with a newly proposed neural network-powered risk factor indicator. To create a model of Fire Adapted Communities (FAC), in parallel to insurance incentives, TREEADS will use Alkali-Activated Materials (AAM), integrating Post-wildfire Wood Ashes (PWA) for fire-resilient buildings and infrastructure. TREEADS also uses a variety of technological solutions such as the Copernicus infrastructure, and a swarm of small drones customized for accurate…

STARLIGHT

STARLIGHT STARLIGHT – Sustainable Autonomy and Resilience for LEAs using AI against High priority Threats STARLIGHT aims to empower LEAs with automated, operational, and cyber-resilient investigation, intelligence, surveillance and control capabilities to tackle traditional and emergent criminal activities, terrorism, cybercrime, and cyber-attacks, within and at the borders of the EU. STARLIGHT also aims at contributing to the establishment of a strong EU AI-based security ecosystem, thus enhancing the EU’s strategic autonomy in the field of AI for LEAs. The ecosystem will be built around an AI framework for reliable, accountable, responsible and transparent LEA AI solutions that will enable the involvement and transfer of knowledge between LEAs, Researchers, Industry, SMEs, and Policy makers. Overall, STARLIGHT will ensure that European LEAs lead the way in AI innovation, autonomy and resilience, addressing…