EU Horizon research projects UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK participated in, with its role and the EC contribution recorded for this organisation. Figures cover EU Horizon grants only, not total EU spend.
eCAP - Ehealth CAPsule for digestive disease diagnostics and therapy (eCAP)
PartnereCAP aims to deliver a novel medical device which combines a smart capsule with an e-health platform for better diagnostics, patient empowered disease management and hence, improved outcomes for patients with gastrointestinal (GI) diseases. Our project will create a modular and implantable capsule with multi-sensing capacity that enables GI physiology monitoring for a controlled time period, leveraging the minimally invasive surgical approach of flexible endoscopy. eCAP will use a worldwide ubiquitous smartphone communication standard, together with cloud computing technology and application interfaces to integrate, process and interpret longitudinal physiological data collected by the capsule. The digital platform is designed to improve the accuracy and clinical usefulness of standard test data by incorporating patient reported outcome measures. The clinician is able to personalize the test for the patient and receive accurate and meaningful results from this multi-stream data input with interpretation aided by Artificial Intelligence. The universality of the eCAP solution will allow dissemination of advanced GI disease diagnostics to patients and doctors worldwide, including low resource environments. During the project, we will demonstrate eCAP?s clinical value and cost savings using gastroesophageal reflux disease (GERD), a worldwide, common, and extremely costly problem, as a clinical target. Clinical evaluation with health-economics analysis will be conducted in France, Ukraine and Kenya, and a specific education program will be developed to train practitioners to use the novel technology. eCAP builds on several years of R&D by our consortium in the field of implantable capsules for GI disease diagnostics. Its ambition is to facilitate a shift in GI diagnostics from its current unscalable analogue version to a patient centered e-health tool and to make Europe the leader in the rapidly growing field of connected medical devices for remote patient monitoring.
- EC contribution:
- EUR 1M
- Start:
- 2022-05-01
- End:
- 2027-04-30
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-HLTH-2021-TOOL-06
artificial intelligenceeHealthphysiologymobile phonesgastroenterology
View on CORDIS (DOI 10.3030/101057525)
Supporting European Industry Success Maximization through Empowerment Centred development (SEISMEC)
PartnerSEISMEC will demonstrate an empowered, human-centred and ethical development of digital and industrial technologies in 17 pilots in 19 companies from 14 countries across 14 industrial ecosystems. It will do so through a two-way engagement in the development of technologies, empowering end-users and workers, and supporting social innovation, in a process labelled the SEISMEC shift. It will contribute to increased inclusiveness, by supporting a human-centred approach to technology development that is aligned with European social and ethical values (including gender and intersectional aspects). The benefits of human centrism will be measured in Creativity, Collaboration, Autonomy, Automation, Productivity, Privacy, Safety and job Satisfaction, the CAPS empowerment factors for human-centrism.
SEIMSECs two-way engagement introduces technical innovations such as explainability, co-development, feedback methods and interfaces to enhance human centrism, but also incorporates plans, needs and innovations from companies and their workers steering them towards an empowered human-centric Industry 5.0 path. The consortium brings together institutions at the forefront of engineering, computer science, networking and exploitation, coordinated by a world-leading social sciences and humanities university, and building up on groundbreaking European projects on industrial innovation. SEISMEC pilots are representative of all sectors and company sizes, and most European countries and worker roles. Every industrial enterprise in Europe will be able to see some aspect of their activity reflected in SEISMECs pilots and will be able to learn from the project’s outputs through an active campaign of cross-sector empowerment practices exchange. With a strong engagement of European, national and local stakeholders, SEISMEC is landmark effort in European industry’s shift to empowerment and human-centrism, one that puts the worker and European Values at the core of its global competitiveness
- EC contribution:
- EUR 903k
- Start:
- 2024-01-01
- End:
- 2027-12-31
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-CL4-2023-HUMAN-01
artificial intelligenceautomationproductivityhumanitiesbusiness and management
View on CORDIS (DOI 10.3030/101135884)
Biosensor-Based Diagnostic Platform Enabling Real-Time Monitoring of Existing and Emerging Pollutants (BIOSENSEI)
CoordinatorBIOSENSEI develops a real-time, multiplexed, end-to-end, tailored and reliable biosensor platform, using cellular responses, for detection of abiotic pollutants - Nutrients, Estrogenic endocrine-disrupting chemicals, and PFAS (Perfluoroalkyl and Polyfluoroalkyl Substances); and biotic pollutants - Microcystins. Cellular biosensors from bacterial variants will be genetically engineered using, RNA-RNA interactive and type III CRISPR-Cas-mediated transduction cascades. These biosensors are encapsulated and immobilised at bi-modal transducers (nanoelectrochemical and optical) to provide highly reliable, tuneable and sensitive detection of the target pollutants. Bespoke ultra-low power analog front ends and autonomous IoT end-nodes will enable operation and data acquisition from biosensors and facilitate easy integration in existing LoRa networks enabling real-time data feeds. Neural computing algorithms are embedded on the edge to correct for sensor aging and interferents in the (bio)chemical transduction and improve sensor data accuracy. An online dashboard will be developed to allow end users to visualize data. BIOSENSEI will embed the whole R&D process within a safe-and-sustainable-by-design framework to guarantee environmental safety related to risks of potential release into the open environment. Biosensors will be scalable, adaptable to different applications in water & soil and will be deployed in four different use-cases. The consortium is vertically integrated bringing expertise in cellular biology, surface chemistry, nanoelectronics fabrication, hardware integration, regulatory and industrial sampling and artificial intelligence. BIOSENSEI directly addresses HORIZON-CL6-2023-ZEROPOLLUTION-01-6 Biosensors and user-friendly diagnostic tools for environmental services and will allow cellular biosensors to be deployed outside laboratory settings for the first time the project and has the potential to considerably contribute to fulfil EU vision on zero-pollution.
- EC contribution:
- EUR 891k
- Start:
- 2024-01-01
- End:
- 2026-12-31
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-CL6-2023-ZEROPOLLUTION-01
artificial intelligencebiosensorsinternet of thingsnanoelectronics
View on CORDIS (DOI 10.3030/101135241)
An innovative non-contact and harmless screening modality set to change the course of breast cancer detection and patient monitoring (ThermoBreast)
PartnerFemale breast cancer is the most diagnosed cancer worldwide. In 2020, the International Agency for Research on Cancer estimated more than 2.26 million new cases of breast cancer. Early detection is crucial to survival; recovery rates approach 90% when detected in early stages. National population-based cancer screening programmes in Europe currently implement 3 standard imaging modalities: mammography, ultrasound and MRI. The downsides of these screening methods include ionising radiation, high costs and high false positive rates in screening results.
Our multidisciplinary consortium of 16 partners from 10 countries aims to contribute to EU’s Mission on Cancer and Beating Cancer Plan by drastically improving the prevention, diagnosis and monitoring of breast cancer while reducing the burden on women and female patients and their families, health care professionals and others who are directly or indirectly affected by breast cancer.
ThermoBreast proposes a new solution for accurate, harmless and non-contact screening, equally applicable for all age groups and breast densities and capable of detecting pre-cancerous states. This risk-free screening technology, recently patented by the project coordinator ThermoMind LTD, can detect vascular anomalies and asymmetry, caused by cancerous growth. It combines innovative screening through multiple sensitive infrared sensors with advanced AI analysis of temporal dynamic thermal patterns. Through its patient-centred integrated diagnostics approach, this project converges intelligent computer vision, blood vessel extraction and tissue analysis with advanced information technology to deliver a medical class 1 device that will be validated in an international multicentre clinical study. To enhance stakeholder participation, ThermoBreast involves end users, SSH experts and a patient organisation in the co-creation of the new screening solution and assesses its health and socio-economic benefits as well as its cost effectiveness. This action is part of the Cancer Mission cluster of projects on ‘Prevention, including Screening’.
- EC contribution:
- EUR 692k
- Start:
- 2023-01-01
- End:
- 2026-12-31
- Status:
- TERMINATED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-MISS-2021-CANCER-02
computer visionbreast cancersensorsultrasound
View on CORDIS (DOI 10.3030/101096329)
ARTIFICIAL INTELLIGENCE BASED HEALTH, OPTIMISM, PURPOSE, AND ENDURANCE IN PALLIATIVE CARE FOR DEMENTIA (AI4HOPE)
PartnerDementia is caused by a range of illnesses and disorders that damage the brain either directly or indirectly. With the rise of the ageing population in the EU, dementia is becoming a serious problem. Digital health interventions have the potential to improve the accessibility and effectiveness of palliative care. Palliative care is an area where these technologies are increasingly being evaluated for education (e.g. online learning, mobile applications or Virtual Reality tools), symptom management, care planning, decision-making, and interaction (e.g. professionals and caregivers using phones, internet and computer systems). However, most studies focus on a specific intervention with heterogeneous outcomes and are exposed to professional gatekeeping and biased samples consisting of patients who are mostly well and without considering cultural impacts. Due to improved understanding and treatment, more effective and innovative health technologies, improved patient safety and better ability and preparedness to manage epidemic outbreaks, along with priorities related to quality of life of dementia patients and survivors, treatment and dementia data monitoring should be crucial. This project will focus on: i) better understanding of dementia, focusing on their consequences, including pain, distress and causative links between health determinants, disease and interventions in order to provide evidence-base for policy-making, ii) identification of holistic intervention (treatment and care) and assessment of health outcomes, iii) innovative digital tools to optimize clinical workflows and iv) scientific evidence for improved/tailored policies and legal frameworks and to inform major policy initiatives at EU and global level. We target exactly those aspects of value by integrating digital interventions as palliative care of patients with poor prognosis of dementia and evaluating the impact of digital health interventions using Artificial Intelligence.
- EC contribution:
- EUR 592k
- Start:
- 2024-01-01
- End:
- 2027-12-31
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-HLTH-2023-DISEASE-03
dementiavirtual realitymachine learningwearable medical technology
View on CORDIS (DOI 10.3030/101136769)
Advancing Research at the Intersection Between Gut Microbiota and Cancer Cachexia to Train Europe’s Future Leaders in Microbiota Medicine (MiCCrobioTAckle)
PartnerMicrobiota medicine is the new frontier in human health. The human gastrointestinal tract is home to trillions of microbes. Under normal conditions, these microbial communities drive physiological and homeostatic functions in the host; when altered, they can lead to severe disorders. With an increasingly recognized role in health and disease, the gut microbiota offers promising therapeutic and diagnostic potential to tackle various pathologies (incl. metabolic, neurological, and cardiovascular disorders). Its full clinical potential remains largely unrealized though, mostly due to the lack of critical mass capable of integrating the multiple scientific and translational dimensions of microbiota medicine. Grounded on a team of 180leading researchers and entrepreneurs from across 12 countries and dispersed disciplines (biological big data analytics, systems and synthetic biology, experimental and translational medicine), MiCCrobioTAckle will train 12 Doctoral Candidates (DCs) with the much-needed cross-disciplinary and -sectoral expertise to advance microbiota medicine. As course-setting disease, the DCs will focus on cancer cachexia (CC). CC is an excellent model to study the host-microbiota axis in the context of metabolic diseases and represents the paradigm of a devastating condition in urgent need of new and more efficient means of clinical management. Along MiCCrobioTAckle, the 12 high-calibre DCs will foster new discoveries with impact on CC, while driving scientific and technological progress in microbiota medicine in its broadest scope. By training the next generation of researchers with out-of-the-box thinking and an entrepreneurial mindset in microbiota medicine, MiCCrobioTAckle will safeguard the EU leadership in this vanguard and imperative biotech/pharma segment, while paving the way for the development of novel gut microbiota insights and tools to tackle multiple diseases with foreseeable impact on the well-being of billions of citizens worldwide.
- EC contribution:
- EUR 573k
- Start:
- 2024-11-01
- End:
- 2028-10-31
- Status:
- SIGNED
- Scheme:
- HORIZON-TMA-MSCA-DN
- Call:
- HORIZON-MSCA-2023-DN-01
synthetic biologybig datamicrobiomesoncologypathology
View on CORDIS (DOI 10.3030/101169068)
Nano electro-optomechanical programmable integrated circuits (NEUROPIC)
PartnerNEUROPIC will design, build, measure, and explore a novel programmable photonic chip architecture with transformational impact potential on photonics for data centers, autonomous vehicles, quantum information processors, and much more. We will explore and pioneer programmability of large-scale photonic circuits using nanoelectromechanical technologies, which benefit from ultralow power consumption, compact footprint, and potentially faster operation than existing approaches. Building on very recent breakthroughs from the consortium partners, the nanotechnology is now in place to begin the exploration of programmable photonic chips scaled to thousands of programmable nodes. The main objectives range from sustainable and high-performance silicon nanomachining over establishing a scalable platform for ultralow-power nanoelectromechanical programmable silicon photonics to massively parallel optical interconnects. Our final goal is to use the network of independent and fully controllable nodes for neuromorphic computing to quantify the role of complexity for artificial intelligence. The objectives present a strong mutual synergy, scientific impact, and sustainability and set the foundations for four highly attractive business cases with complementary profiles in terms of risk and market size. NEUROPIC is therefore designed to address the fundamental scientific and technological questions of today whose answers hold potential for very large commercial impact in the future. Our quest comes with a new set of challenges and calls for a radically new approach to photonics. NEUROPIC unites some of the world’s leading researchers and companies in nanotechnology, photonics, advanced manufacturing, and complex systems in a risky and highly interdisciplinary research project with the ambition of founding a new paradigm of programmable silicon photonics.
- EC contribution:
- EUR 495k
- Start:
- 2023-03-01
- End:
- 2027-02-28
- Status:
- SIGNED
- Scheme:
- HORIZON-EIC
- Call:
- HORIZON-EIC-2022-PATHFINDEROPEN-01
artificial intelligencemicroelectronics
View on CORDIS (DOI 10.3030/101098961)
GreenInCities (GreenInCities)
PartnerIn recent decades, new planning paradigms have reshaped cities. Urban regeneration has renovated public spaces, redeveloped city centers, and established innovation districts. Smart cities have implemented technological systems, such as transport management, water and contamination monitoring, and energy-efficient buildings. A new sustainable approach, including recycling, renaturalization, and recovery, has emerged in response to the demand for environmental sensitivity in urban planning.
These strategies have mainly been applied to wealthy areas to attract tourism and companies, repositioning cities in the global economic framework. However, applying these regeneration strategies, smart systems, and renaturalization processes to deprived areas is crucial. These areas tend to face multiple urban problems, such as pollution, social and cultural issues, lack of services and low-quality built environments, and public spaces, leading to issues related to liveability, functionality, quality of life, social cohesiveness, and physical and mental health.
Moreover, there is a growing need for climate change adaptation strategies, which has led to the implementation of Nature Based Solutions (NBS). However, a new pattern is emerging, which considers nature as a stakeholder in itself, beyond the ecosystem services it provides. Innovative technologies such as AI, machine learning, and immersive realities are also emerging, which can enhance the accuracy of information delivery and people engagement. GreenIn Cities aims to develop methodologies and tools for collaborative climate mitigation and adaptation urban planning approaches, specifically for deprived areas, addressing three main challenges: improving societal readiness level and awareness of vulnerable groups, going beyond classical greening and renaturing interventions, and leveraging cutting-edge technologies to enhance co-creation and maximize urban regeneration impacts.
- EC contribution:
- EUR 440k
- Start:
- 2024-01-01
- End:
- 2027-12-31
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-MISS-2023-CLIMA-CITIES-01
smart citiesclimate change adaptationsocial inequalitiesclimatic changesmachine learning
View on CORDIS (DOI 10.3030/101139730)
Improving GreeN Innovation for the blue revoluTION: new tools and opportunities for a more sustainable animal farming (IGNITION)
PartnerAnimal health and welfare are issues of high research priority for European aquaculture. In particular, improving animal welfare whilst reducing the use of veterinary drugs are current research priorities in line with minimizing the environmental impact of the industry. Preventing, or reducing the impact of disease is of prime importance for producers, researchers and stakeholders. In addition, public awareness of aquatic animal health and welfare leads to the increased attention of policy-makers, scientific community and the consumers into new methods for disease prevention.
The IGNITION project aims to unveil new knowledge regarding animal welfare in the context of climate change and propose new tools to mitigate the adverse effects of stress. An improvement in animal welfare will translate in higher-quality farmed animals thus improving farming productivity and sustainability performance. Through IGNITION it is expected to provide new knowledge through genotyping and molecular phenotyping techniques to develop future breeding strategies for fish and shellfish. New innovative tools regarding immunization in fish will also be provided, aiming at improving fish welfare and targeting early life stages. Animal feeds will be formulated to include bioactive compounds extracted from halophytes through a novel upstream cascade salt removal. Special emphasis will be given to the study and discovery of new non-invasive biomarkers of health and welfare, which will in turn allow the development of biosensors and disease prediction through machine learning approaches. The tools developed in IGNITION will be able to avoid the colonization and spread of pathogenic microorganisms, including multi-resistant microorganisms, among farmed animals and the subsequent spread to humans through the food chain.
- EC contribution:
- EUR 404k
- Start:
- 2022-11-01
- End:
- 2027-01-31
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-CL6-2022-FARM2FORK-01
biosensorsimmunisationclimatic changesmachine learningmicrobiology
View on CORDIS (DOI 10.3030/101084651)
Emergent soil, plant and food onsite digital services on chemical and biological contaminants (E-SPFdigit)
PartnerE-SPFdigit will bring novel onsite digital tools already at TRL5 under systemic innovation, which will be further deployed, upscaled, field-tested and demonstrated to TRL7-8, in viticulture and horticulture applications in Greece and Spain in soil-contaminated areas (located near mines, offensive industries, highways, floodwaters). E-SPFdigit brings novel developed: i) MIP-based electrochemical sensors coupled with SPME for on-site monitoring and analysis of dedicated to PFAS targeted molecules, ii) Multiplex organic Surface Plasmon Resonance optical biosensors for onsite pesticides residues monitoring and analysis, iii) IDE-based electrochemical sensors for onsite detection and quantification of heavy metals & micronutrients, and iv) UVC LED -based nutrient analysers for soil water content in-situ and real time monitoring. The AI-driven onsite digital tools will be model calibrated using machine learning algorithms to improve error distribution of a predictive model, ensuring reliability. Also, E-SPFdigit brings an edge-based remote sensing framework via a robust autonomous mobile robot self-navigating and a heavy-duty unmanned aerial vehicle for in-field detection of soil parameters regarding the aforementioned chemical and biological stressors. Finally, to predict pesticide and fertiliser and other chemical contaminants impacts on crop-soil-microbiome nexus, the project will use on-field real-time digital ground sensors combined with Earth Observation data and causal machine learning. All the onsite digital tools will be interconnected with a Decision Support Systems with blockchain and cybersecurity mechanisms enabling informed decisions and automated decision making for IPM and INM, enhanced with automated decision making for immediate soil management practices.
- EC contribution:
- EUR 373k
- Start:
- 2024-10-01
- End:
- 2027-09-30
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-MISS-2023-SOIL-01
biosensorsremote sensingdronessoil managementmachine learning
View on CORDIS (DOI 10.3030/101157922)
Scaling Up secure Processing, Anonymization and generation of Health Data for EU cross border collaborative research and Innovation (SECURED)
PartnerThe overall goal of the SECURED project is to scale up multiparty computation, data anonymization and synthetic data generation, by increasing efficiency and improving security, with a focus on private and unbiased artificial intelligence and data analytics, health-related data and data hubs, and cross-border cooperation. The project will address the limitations that are currently preventing the widespread use of secure multiparty computation and effective anonymization, namely: the limited practical capabilities of current cryptographic schemes for secure multi-party computation protocols, and their performance; the lack of well understood and standardized data anonymization methods for health data; the absence of dynamic and on demand services for generating synthetic data; the complex and ad-hoc nature of current federation protocols for machine learning and AI-based data analytics; the lack of support for health technology providers to implement privacy enhancing technologies, in particular SMEs.
SECURED will tackle these challenges by focusing on scaling up privacy technologies via algorithmic improvements and implementation efficiency (HW and SW), as well as the generalization of primitives and definitions, with the aim of speeding up and facilitating privacy preserving data-driven tools and services for wellbeing, prevention, diagnosis, treatment and follow-up care. SECURED will also analyse the current ethical and legal challenges to data sharing, and is targeted at overcoming current limited adoption of advanced multi-party computation and data anonymization technologies by providing direct support to health technology SMEs through a funding call. To ensure relevance to real-world settings, SECURED will showcase the technologies developed in four health-related use cases provided by partner hospitals and health stakeholders, namely: real-time tumor classification; telemonitoring for children; synthetic data generation for education; access to genomic data.
- EC contribution:
- EUR 372k
- Start:
- 2023-01-01
- End:
- 2025-12-31
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-HLTH-2022-IND-13
machine learning
View on CORDIS (DOI 10.3030/101095717)
Green responsibLe privACy preservIng dAta operaTIONs (GLACIATION)
PartnerFrom edge to cloud, big data analytics is growing fast, and its energy consumption has become a reason of concern for national grids and they generate significant carbon emissions. The GLACIATION project aims to address this issue through energy-efficient privacy preserving data operations. By developing a novel Distributed Knowledge Graph (DKG) that stretches across the edge-core-cloud architecture, reduction in the energy consumption for data processing will be achieved through AI enforced minimal data movement operations. GLACIATION will achieve significant power consumption reduction through optimizing the location where analytics are carried out and where data is placed. The projects Metadata framework will provide tools that incorporate privacy and trust aspects in the data operations. GLACIATION is demonstrated on three relevant industry settings which benefit from optimized data movement and power consumption reduction. More specifically, GLACIATION use cases cover public-service, manufacturing, energy and enterprise data analytics.
- EC contribution:
- EUR 333k
- Start:
- 2022-10-01
- End:
- 2025-09-30
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-CL4-2021-DATA-01
big dataknowledge engineeringglaciologydata processing
View on CORDIS (DOI 10.3030/101070141)
Preparing the Research & Innovation Core for Mission Ocean, Seas & Waters (PREP4BLUE)
PartnerMission Ocean, seas and water aims at restoring the health of our ocean and waters by 2030, as a major contributor to the European Green Deal and the Sustainable Development Goals. Research and innovation will be a key component of the Mission, which will link initiatives across disciplines, mobilise policymakers, stakeholders and citizens, and leverage public and private investments.
PREP4BLUE overarching objective is to facilitate a successful first phase (2022-2025) of the Mission, by developing the co-creation and co-implementation R&I modalities required to achieve the Mission objectives and preparing the ground for inspiring and engaging citizens and stakeholders.
The project is designed to deliver a series of tools, guidelines, methodologies and recommendations tested through pilots, which will interlink, leverage and optimise activities among the projects funded under the Mission. Our systemic approach will foster cohesion and connectivity between knowledge and technology, funding, regulation, education and skills, social structures and co-creation with R&I actors, citizens and stakeholders.
PREP4BLUE multidisciplinary and multi-actor consortium is actively engaged in basin-based strategies and related R&I activities, with strong experience in co-developing business models and recommendations for policy-makers, expertise in social sciences related to participative democracy and citizen engagement and excellent track-record in methodologies for knowledge management and transfer, as well as in stakeholder engagement.
PREP4BLUE will also carry out strategic actions to assure the alignment of our CSA with the evolution of the Mission components, including the Mission Core Network, other contributors to the Mission and other Missions. Our project will contribute to preparedness and engagement of all relevant stakeholders to empower them to play an active role in the Mission.
- EC contribution:
- EUR 268k
- Start:
- 2022-06-01
- End:
- 2025-05-31
- Status:
- SIGNED
- Scheme:
- HORIZON-CSA
- Call:
- HORIZON-MISS-2021-OCEAN-01
public policiesbig datacivil societysustainable economycomputational intelligence
View on CORDIS (DOI 10.3030/101056957)
ASSESSMENT AND ENGINEERING OF EQUITABLE, UNBIASED, IMPARTIAL AND TRUSTWORTHY AI SYSTEMS (AEQUITAS)
PartnerAI-based decision support systems are increasingly deployed in industry, in the public and private sectors, and in policy-making. As our society is facing a dramatic increase in inequalities and intersectional discrimination, we need to prevent AI systems to amplify this phenomenon but rather mitigate it. To trust these systems, domain experts and stakeholders need to trust the decisions.
Fairness stands as one of the main principles of Trustworthy AI promoted at EU level. How these principles, in particular fairness, translate into technical, functional social, and lawful requirements in the AI system design is still an open question. Similarly we don’t know how to test if a system is compliant with these principles and repair it in case it is not.
AEQUITAS proposes the design of a controlled experimentation environment for developers and users to create controlled experiments for
- assessing the bias in AI systems, e.g., identifying potential causes of bias in data, algorithms, and interpretation of results,
- providing, when possible, effective methods and engineering guidelines to repair, remove, and mitigate bias,
- provide fairness-by-design guidelines, methodologies, and software engineering techniques to design new bias-free systems
The experimentation environment generates synthetic data sets with different features influencing fairness for a test in laboratories. Real use cases in health care, human resources and social disadvantaged group challenges further test the experimentation platform showcasing the effectiveness of the solution proposed. The experimentation playground will be integrated on the AI-on-demand platform to boost its uptake, but a stand-alone release will enable on-premise privacy-preserving test of AI-systems fairness.
AEQUITAS relies on a strong consortium featuring AI experts, domain experts in the use case sectors as well as social scientists and associations defending rights of minorities and discriminated groups.
- EC contribution:
- EUR 267k
- Start:
- 2022-11-01
- End:
- 2025-10-31
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-CL4-2021-HUMAN-01
artificial intelligencesoftwaresocial inequalitiesethics
View on CORDIS (DOI 10.3030/101070363)
The Federated Universe of AI-Enhanced Digital Twins to Achieve Climate Neutrality of Urban Environments (TWINVERSE)
PartnerEuropean cities are at the frontline of the climate crisis, responsible for over 70% of global CO2 emissions while hosting 75% of the EU population—a figure projected to rise further. Cities are also increasingly exposed to the compounding impacts of heatwaves, flooding, air pollution, and energy poverty, all of which disproportionately affect vulnerable communities. At the same time, cities are expected to deliver on the ambitious goal of achieving climate neutrality by 2030 under the EU Mission for Climate-Neutral and Smart Cities. However, urban planning and management processes remain fragmented, siloed, and often lack the integrated, real-time data analysis capabilities needed to support systemic transformation.
TWINVERSE aims to design, implement, and operationalise a federated ecosystem of interoperable, AI-enhanced Digital Twins across diverse European cities to accelerate the transition toward climate-neutral, resilient, and inclusive urban futures. The project will develop modular, robust, and explainable AI-based services that integrate real-time and static urban data across multiple domains—such as mobility, energy, land use, socio-demographics, and green infrastructure—supporting scenario analysis, impact simulation, and participatory planning. TWINVERSE will empower local authorities with actionable intelligence to inform cross-sectoral decisions, foster citizen engagement, and contribute directly to the implementation of Climate City Contracts (CCC), Sustainable Energy and Climate Action Plans (SECAPs), and Sustainable Urban Mobility Plans (SUMPs). The project will ensure scalability, replicability, and sustainability through open-source components, capacity-building, and synergies with the EU Local Digital Twin Toolbox, Common European Data Spaces, and relevant mission-oriented partnerships, while stimulating EU innovation ecosystems and industry through market-oriented exploitation strategies.
- EC contribution:
- EUR 247k
- Start:
- 2026-05-01
- End:
- 2029-04-30
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-MISS-2025-04
data sciencesmart citiesrenewable energyair pollution engineeringclimatic changes
View on CORDIS (DOI 10.3030/101270783)
Demonstration of innovative functional food production systems based on a sustainable value chain of marine and freshwater raw materials for conscientious European consumers (NOVAFOODIES)
PartnerNOVAFOODIES will offer novel & competitive functional products to European consumers from a reliable, traceable, and sustainable fisheries and aquaculture value chains. To reach this, NOVAFOODIES is composed of an international consortium covering the whole value chain and expertise: production, processing, transformation, biosecurity, legislation, consumer associations, experts in business, IT, and sustainability. NOVAFOODIES will:
-Demonstrate at TRL 6-7, in 10 cases studies, cost-efficient and sustainable fish, micro- and macro- algae production processes that will benefit from natural ecosystem services.
-Bring to TRL6 an innovative & sustainable microwave-assisted algae drying process to maximising efficiency and lower costs
-Upscaling to TRL 6-7 an innovative biorefinery concept for separation of functional extracts from fish and seaweeds which will be optimised for the technoeconomic and environmental validation. 12 functional food prototypes will be prepared using these extracts as well as fish, bycatch & algae for human products, and aquafeeds, which will be assessed in terms of properties, biosecurity, and standards, and will be brought to consumers by educative activities as e.g. showcookings.
-Bring to TRL7 an innovative process to make ecological packaging material from macroalgae
-Bring to TRL6 a process to convert the beach wracks material to invertebrate biomass for aquafeeds.
-Bring to TRL6 a process to valorise fisheries bycatchs to create novel food for human consumption
NOVAFOODIES will develop a MarketPlatform & Mobile App using IoT technologies and advanced data analysis for tracing & wastes optimisation along the value chain, enhacing consumers trust.
Partners are committed to the exploitation of developed technologies, being actively involved in the dissemination & exploitation, as well as education and training activities in local areas to promote sociolaboral inclusion and paving the way to the market entry of new products and processes.
- EC contribution:
- EUR 245k
- Start:
- 2023-05-01
- End:
- 2026-10-31
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-CL6-2022-FARM2FORK-02-two-stage
data sciencefisheriesinternet of thingsphycology
View on CORDIS (DOI 10.3030/101084180)
Collaborative edge-cLoud continuum and Embedded AI for a Visionary industry of thE futuRe (CLEVER)
PartnerCLEVER proposes a series of innovations in the area of hardware accelerators, design stack, and middleware software that revolutionize the ability of edge computing platforms to operate federatedly, leveraging sparse resources that are coordinated to create a powerful swarm of resources. CLEVER technologies will support the deep edge computing paradigm, moving computing services closer to the end user or the source of the data to reduce power consumption, reduce capacity requirements, and latency for mission critical applications. Furthermore, CLEVER will overcome traditional limitations of edge computing in terms of limited resource availability by providing an effective framework for seamless use of federated resources in the edge-cloud continuum.
CLEVER will demonstrate processing solutions for AI at the edge through four use cases: (1) digital twin for in-factory optimization, (2) smart agriculture for high yield eco-farms, (3) fully automated material deployment, and (4) augmented reality for shopping sites.
Through the achievement of its goals, the CLEVER project will help to position Europe at the forefront of the intelligent edge computing field, enabling growth across many sectors (manufacturing, agriculture, smart environments, augmented reality, and others). By lowering the barriers for utilising edge computing for artificial intelligence applications, CLEVER will open the door for European Industries and SMEs to leverage state of the art technologies, driving their development and growth as leaders in their sectors.
- EC contribution:
- EUR 168k
- Start:
- 2023-01-01
- End:
- 2025-12-31
- Status:
- SIGNED
- Scheme:
- HORIZON-JU-RIA
- Call:
- HORIZON-KDT-JU-2021-2-RIA
artificial intelligencesoftwareagriculture
View on CORDIS (DOI 10.3030/101097560)
Exploring the molecular mechanisms underlying the Diet-Gut Microbiome-Brain Interplay (DiMicroBi)
associatedpartnerAffecting nearly 15 % of children and adolescents worldwide, neurodevelopmental conditions (NDDs) in children are a growing public health concern in Europe and worldwide. NDDs may be exacerbated by poor dietary habits, via altering the composition and function of the gut microbiota. Communication between the gut microbiome and the brain, via the gut-brain axis, has emerged as a potential target to support brain health. However, the molecular mechanisms underpinning these relationships are poorly understood, particularly the specific dietary patterns, microbes, and microbial metabolites involved in modulating gut-brain communication. This fellowship aims to investigate the molecular mechanisms through which early-life diet influences gut microbiome-brain communication, and the impact this has on neurocognitive outcomes. First, the fellow will perform advanced statistical analysis on the already available existing data of the MAMI cohort to explore the interplay between diet, microbiome, and neurocognitive outcomes in children. Next, microbial signatures associated with neurocognitive outcomes will be investigated at the molecular level through faecal microbiota transplantation (FMT) in mice. Finally, to deepen mechanistic insights into host-microbe-brain interactions, the effects of microorganisms and microbiome-derived metabolites identified in human and animal studies on gut and blood-brain barrier function will be studied in vitro models. The fellow will receive advanced training in data analysis at the host institution and in cell-based methodologies at both the host and secondment institutions. By bringing in vivo methods to the host lab, the fellow will boost its ability to translate and validate findings from human studies. This fellowship will support the fellow’s transition to an independent, interdisciplinary scientist, equipped to lead impactful research on the diet-microbiota-brain axis.
- EC contribution:
- EUR 0
- Start:
- 2027-09-01
- End:
- 2029-08-31
- Status:
- SIGNED
- Scheme:
- HORIZON-TMA-MSCA-PF-EF
- Call:
- HORIZON-MSCA-2025-PF
data sciencepublic healthnutritiontransplantationmicrobiology
View on CORDIS (DOI 10.3030/101269067)