Multimodal analytics based on AI – Multimodal Data Fusion and Analytics Group

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…

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…

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…

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…

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…

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…

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…

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…

ALLIES

ALLIES AI-based framework for supporting micro (and small) HSPs on the report and removaL of onLIne tErroriSt content The ALLIES project aims at supporting micro (and small) HSPs in achieving compliance with the new requirements and obligations under the TCO Regulation. To achieve this, ALLIES adopts four main approaches, each targeting skill development and innovation. These four pillars will be respectively focused on (1) learning and awareness raising, (2) technical development and adaptation, (3) training and education, and (4) experience sharing and reporting mechanisms. Both the learning and awareness raising initiatives will further expand the capacity of the TCO Regulation by designing a taxonomy of online terrorist related behaviours. The second pillar will be focused on the development of a specific set of AI-boosted user-friendly tools that will enhance small…

CESAGRAM

CESAGRAM Towards a Comprehensive European Strategy Against tech-facilitated GRooming And Missing Child sexual abuse online is a growing phenomenon. The British National Society for the Prevention of Cruelty to Children (NSPCC) reported a 70% increase in the number of sexual communications with child offences in the last three years. The hotlines for missing children have reported concerns that grooming is an increasing factor in disappearances, particularly in cases of children who run away. In 2020, the second most common reason for children to contact Child Helplines was for reasons of violence of which 3,2% was online sexual abuse. Disappointingly, the COVID pandemic has exacerbated the problem. The COVID-19 crisis pushed 1.2 billion children out of schools, leading to children spending many more hours online. As Europol emphasised in its 2021…

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…

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…

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…

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…

LEAGUE

LEAGUE Limiting online sexual Exploitation and Abuse Gender based on Underaged boys by Educating experts The Limiting online sexual Exploitation and Abuse Gender based on Underaged boys by Educating experts (LEAGUE) project addresses the further need of prevention and increased reporting of online child sexual abuse among boys aged 10–18. The actions proposed for this project will help to the development of the competencies of the organizations and authorities responsible for assisting victims of such crimes. LEAGUE aims to prevent and report online child sexual abuse of boys aged 10-18, to facilitate early detection, protection and support to underaged boys and young people who are victims or potential victims of violence, with particular emphasis to situations emerging from the COVID-19 pandemic and to enhance multidisciplinary cooperation and coordination among relevant…

CTC

CTC Cut The Cord With the nature of terror incidents undergoing a technology-aided transformation (e.g. use of cryptocurrencies to enhance anonymity), the monitoring and analysis of financial transactions play a pivotal role in the effort to timely prevent actions and funding of global terrorism. Financial crime exploits every aspect of digital transformation and identifies non-traditional products for financing and supporting terrorist organisations, such as social media, cryptocurrencies, and other Financial Technologies. The prevention and disruption of terrorism financing requires international cooperation and advanced investigative techniques based on new technologies. The CTC project (Cut The Cord) aims to enhance the public-private cooperation through the establishment of a wide stakeholder community, with the vision to sustain it beyond the end of the project. Joint training exercises (theoretical and hands-on) will be organised…

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…

ODYSSEUS

ODYSSEUS Preventing, Countering and Investigation Terrorist Attacks Through Prognostic, Detection and Forensic Mechanisms for Explosive Precursors ODYSSEUS aims to increase the knowledge on homemade explosives (HMEs) and explosive precursors, including precursors not previously studied, and develop effective and efficient prognostic, detection, and forensic tools to improve the capabilities of Law Enforcement Agencies (LEAs) towards the prevention, countering, and investigation of terrorist incidents involving HMEs. ODYSSEUS will build upon relevant previous projects mainly HOMER, through the involvement of HOMER’s core partners in this consortium, and will thus continue the work already performed in HOMER on some precursors and also further extend it to not previously studied precursors. To discover potentially hitherto unknown information, online HMEs recipes will be collected and their content will be analysed in order to extract knowledge about…

SECANT

SECANT SECurity And privacy protectioN in Internet of Things devices SECANT aims to contribute decisively towards improving the readiness and resilience of organisations against the crippling modern cyber-threats, by increasing the privacy, data protection, and accountability across the entire interconnected ICT ecosystem, and by reducing the costs for security training in the European market. To this end, the SECANT platform will enhance the capabilities of organisations’ stakeholders, by implementing (a) collaborative threat intelligence collection, analysis, and sharing; (b) innovative risk analysis specifically designed for interconnected nodes of an industrial ecosystem; (c) cutting-edge trust and accountability mechanisms for data protection, and (d) security awareness training for more informed security choices. The effectiveness and versatility of the proposed solution will be validated in four realistic pilot use case scenarios applied in the…

Nightingale

Nightingale Novel InteGrated toolkit for enhanced pre-Hospital life support and Triage IN challenGing And Large Emergencies Major emergencies, crisis and disasters have become more frequent the last decades. However, nowadays, emergency medical services and non-medical civil protection practitioners in a mass casualty incident scene are often striving to save lives but they are relying on complicated or outdated procedures and technology of the past. Additionally, disasters might differ in nature, geographic extent and other parameters, leading, in such a way, in a multitude of challenges. Therefore, it is uppermost affected people to feel safe and to get top-level healthcare that modern technology and current civil protection systems can offer. Nightingale is aimed at upgrading pre-hospital life support and Triage by delivering enhanced Operational Capacity to respond to mass casualty incidents…

VITALISE

VITALISE VIrtual healTh And weLlbeing Living Lab InftraStructurE The EU-funded VITALISE aims to establish new Living Labs in order to support the research community in the Health and Wellbeing domain. It also invests in learning about methodologies of user engagement and co-creation, such as design thinking, focus groups and ideation. VITALISE will design and develop ICT tools for shared access of similar devices and applications used across Living Labs, as well as for collecting, storing and sharing datasets. It will enhance closer interaction between multidisciplinary researchers among and beyond the consortium partners through the Joint Research Activities, Transnational Physical and Virtual Access. Physical access refers to access in the infrastructure by physical presence (17 Living Lab research infrastructures across Europe) while Virtual refers to remote access using digital tools. VITALISE…

ALAMEDA

ALAMEDA Bridging the Early Diagnosis and Treatment Gab of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions The EU-funded ALAMEDA project aims to provide new opportunities for improved personalized healthcare and prevention that have been enabled by the recent advances in the design and development of Innovative health risk prediction and intervention tools. ALAMEDA’s vision is to research and prototype the next generation of personalized AI healthcare support systems for people with brain diseases and disorders, specifically focusing on the needs of patients with Parkinson’s, Multiple Sclerosis and Stroke (PMSS). The project’s innovations will take advantage of new machine learning models, built upon lifestyle retrospective data as well as new streams of patient data that involve the monitoring of everyday activities, such as sleep behaviour and emotional status.…

AIDA

AIDA Artificial Intelligence and advanced Data Analytics for Law Enforcement Agencies The goal of AIDA is to provide Law Enforcement Agencies (LEAs) in the EU Member States (MS) with innovative, dedicated and sustainable digital technologies to facilitate the entire Big Data analytics cycle as part of their investigative and proactive prevention capabilities focused on cybercrime and counterterrorism. More specifically, AIDA will provide law enforcement across the EU with a modular capacity to acquire, (pre-)process, enrich, analyse and visualise multi-source Big Data in near real-time. The latter will shift the capacity of EU Member States to fight cybercrime and terrorism, while implementing governance procedures to maintain full compliance with fundamental rights and applicable legislation, including privacy and protection of personal data and ensure chain of custody. The AIDA framework will adapt…

TENSOR

TENSOR reTriEval and aNalysis of heterogeneouS online content for TerrOrist activity Recognition Law Enforcement Agencies (LEAs) across Europe face today important challenges in how they identify, gather and interpret terrorist generated content online. The Dark Web presents additional challenges due to its inaccessibility and the fact that undetected material can contribute to the advancement of terrorist violence and radicalisation. LEAs also face the challenge of extracting and summarising meaningful and relevant content hidden in huge amounts of online data to inform their resource deployment and investigations. In this context, the main objective of the TENSOR project is to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organised activities, radicalisation and recruitment. The platform integrates a set of…

EOPEN

EOPEN Open interoperable platform for unified access and analysis of Earth Observation data Earth Observation (EO) data access through the Copernicus data distributor systems has paved the way to monitor changes on Earth, using Sentinel data. One of the main objectives of EOPEN is to fuse Sentinel data with multiple, heterogeneous and big data sources, to improve the monitoring capabilities of the future EO downstream sector. Additionally, the involvement of mature ICT solutions in the Earth Observation sector shall address major challenges in effectively handling and disseminating Copernicus-related information to the wider user community, beyond the EU borders. EOPEN will fuse Copernicus big data content with observations from non-EO data, such as weather, environmental and social media information, aiming at interactive, real-time and user-friendly visualisations and decisions from early warning…

CONNEXIONs

CONNEXIONs InterCONnected NEXt-Generation Immersive IoT Platform of Crime and Terrorism DetectiON, PredictiON, InvestigatiON, and PreventiON Services CONNEXIONs aims to develop and demonstrate next-generation detection, prediction, prevention, and investigation services. These services will be based on multidimensional integration and correlation of heterogeneous multimodal data, and delivery of pertinent information to various stakeholders in an interactive manner tailored to their needs, through augmented and virtual reality environments. The CONNEXIONs solution encompasses the entire lifecycle of law enforcement operations including: pre-occurrence crime prediction and prevention during-occurrence LEA operations post-occurrence investigation, and crime-scene simulation and 3D reconstruction. CONNEXIONs will meaningfully enhance operational and (near) real-time situational awareness, through automated identification, interpretation, fusion and correlation of multiple heterogeneous big data sources, as well as their delivery via immersive solutions. Such multimodal data include Surface/Deep/Dark Web…

MULTISENSOR

MULTISENSOR Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation The consumption of large amounts of multilingual and multimedia content regardless of its reliability and cross-validation can have important consequences on the society. An indicative example is the current crisis of the financial markets in Europe, which has created an extremely unstable ground for economic transactions and caused insecurity in the population. The fact that the national mass media provide exaggerated and contradictory information and the inaptness to understand local contexts from different countries has a considerable share in the aggravation of the crisis. To break this spiral, we need multilingual technologies with sentiment, social and spatiotemporal competence that are able to interpret, relate and summarise economic information and news created from various local…

ECHO

ECHO European network of Cybersecurity centres and competence Hub for innovation and Operations ECHO delivers an organized and coordinated approach to improve proactive cyber defence of the European Union, through effective and efficient multi-sector collaboration. The Partners will execute on a 48-month work plan to develop, model and demonstrate a network of cyber research and competence centres, with a central competence at the hub. The Central Competence Hub serves as the focal point for the ECHO Multi-sector Assessment Framework enabling multi-sector dependencies management, provision of an ECHO Early Warning System, an ECHO Federation of Cyber Ranges and management of an expanding collection of Partner Engagements. The ECHO Multi-sector Assessment Framework refers to the analysis of challenges and opportunities derived from sector specific use cases, transversal cybersecurity needs analysis and development…

CREST

CREST Fighting Crime and TerroRism with an IoT-enabled Autonomous Platform based on an Ecosystem of Advanced IntelligEnce, Operations, and InveStigation Technologies CREST aims to equip LEAs with an advanced prediction, prevention, operation, and investigation platform by leveraging the IoT ecosystem, autonomous systems, and targeted technologies and building upon the concept of multidimensional integration and correlation of heterogeneous multimodal data streams (ranging from online content to IoT-enabled sensors) for a) threat detection and assessment, b) dynamic mission planning and adaptive navigation for improved surveillance based on autonomous systems, c) distributed command and control of law enforcement missions, d) sharing of information and exchange of digital evidence based on blockchain, and e) delivery of pertinent information to different stakeholders in an interactive manner tailored to their needs. CREST will also provide chain-of-custody,…

INFINITY

INFINITY IMMERSE. INTERACT. INVESTIGATE Infinity’s ambition is to become a flagship project against society’s most pressing cybercriminal, terrorist and hybrid threats. Synthesising the latest innovations in virtual and augmented reality, artificial intelligence and machine learning with big data and visual analytics, Infinity will deliver an integrated solution that aims to revolutionise data driven investigations. Bringing together a strong representation from national and supranational agencies with an end user-driven design, it will directly address the core needs of contemporary law enforcement. Specifically, it will equip investigators and analysts with cutting-edge tools to acquire, process, visualise and act upon the enormous quantities of data they are faced with every day. Bolstered by cognitive research, automated systems and instinctive interfaces and controls, Infinity will be designed and developed to maximise the potential of…

VECTOR

VECTOR Virtual Evidence Capture Tool for Ordnance Recovery The identification, classification and risk assessment of explosive devices such as unexploded ordinances (UXOs) and improvised explosive devices (IEDs), is of critical importance to NATO and its partners' strategic interests and tactical operations. However, there are considerable challenges in doing so without specialised expertise present on the ground. VECTOR is going to provide an innovative solution that will enable real-time communication and collaboration between first responders and off-site experts via a multimedia capture application and a command and control dashboard. By synthesising cutting-edge 3D photogrammetry, image recognition, data visualization, and augmented / virtual reality technology, VECTOR aims to go beyond the state-of-the-art to enhance explosive ordnance disposal (EOD) operations against a wide range of threats.