Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MYcotoxin MAnagement (AI)platform To face CC impact on food safety and Human Health (MYMATCH)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Research and Innovation actions
Countries involved: Italy,Greece,Hungary,Serbia,Portugal,United Kingdom,Norway,France,Spain
Call: Climate change and food safety: effects of climate change on food safety across food systems (HORIZON-CL6-2024-FARM2FORK-01, 2024)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 4284669.58
EU funding (EUR): 3991210.65
Participants: 12
Project status: SIGNED

Climate change amplifies food safety risks by fostering the proliferation of pathogens and contaminants in the food supply chain, and introducing unfamiliar or novel hazards. Among the food safety threats, because of their ubiquity, MYMATCH will consider the effects of climate change on a selection of mycotoxins (related to fungi belonging to Aspergillus, Fusarium, and Alternaria) occurring in maize, wheat, tomato, and nuts. Thanks to a strong and multi-actor partnership, MYMATCH will contribute to i) the prediction and mitigation of risk related to fungi and mycotoxin occurrence, ii) the assessment of mycotoxins exposure in humans (concerning different diets) and animals, and iii) the implementation of proper risk management measures. This will be achieved with data collection taking place at different levels, from literature considering events that happened in the past, under controlled environments and open fields, enabling the generation of the missing datasets needed to fulfil the project aims. This will support the development and implementation of fungi and mycotoxin predictive models founded on accurate climate change scenarios to anticipate the changes in mycotoxin occurrence in European food systems. MYMATCH AI mycotoxin management Platform will be the final output, the support for all food system actors with tailored predictions, recommendations, and mitigation approaches. By using this platform, the agri-food researchers, farmers, industry stakeholders, and policymakers, involved in the project through the MYMACTH’s Multi-Actor Framework, will be assisted in taking threat-mitigation initiatives and in decision-making, both in the short- and strategic long-term planning. MYMATCH tools and methods will be generated in a way that is easily extendable to other contaminant issues and co-created and developed with a strong interaction with potential users like EFSA.

Keywords: climate change food safety fungi mycotoxins risk assessment food systems farm to fork mitigation adaptation resilience multi actor approach big data artificial intelligence
Diffusion in polymer matrices: a quantitative mapping between matrix heterogeneity and non-Gaussian statistics (DOMYNOS)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-07-08
End date: 2026-07-07
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

At the heart of this project is the study of transport phenomena in soft matter systems, a field that has seen large and fast development over the last decades due to its fundamental role for many biological, industrial and technological applications. The combined effort of experimentalists, theorists and computational physicists has unveiled recurring deviations from the so-called Brownian Motion (BM). The latter dates back to the 19th century and represents the canonical model for the study of diffusion in fluids. The two central properties of BM are the linear growth with time of the mean squared displacement and the Gaussian distribution of displacements. The main motivation behind this project is the fact that more and more studies have proved that non-Gaussian diffusion appears to be the standard rather than the exception when dealing with disordered soft matter systems. Analytical and numerical works have demonstrated that non-Gaussian diffusion emerges due to the presence of different kind of heterogeneities in the systems. Then, this project aims at providing a quantitative description of the spatio-temporal environment heterogeneities leading to non-Gaussian statistics in soft matter systems. More specifically, the research will focus on the diffusion of colloidal nanoparticles through polymer matrices. At first, a detailed study to quantify and characterise the polymer matrix heterogeneities will be carried out. Then, state-of-the-art data analysis technique will be employed to provide a full characterisation of the tracers diffusive dynamics in polymer matrices. Finally, a direct mapping will be established between matrix heterogeneity and the emergence of non-Gaussian statistics in the tracers dynamics. By bringing together concepts from polymer physics, transport theory and computational physics, this project is meant to finally clarify the role of non-Gaussian diffusion in soft matter systems and beyond.

Keywords: non gaussian diffusion,polymer matrix,single particle trajectory,microrheology
TealHelix: Building Resilience Through Inclusive and Personalized Food Labeling (TealHelix)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Resilient, inclusive, healthy and green rural, coastal and urban communities
Action type: Research and Innovation actions
Countries involved: Belgium,Lithuania,Latvia,Poland,Greece,Netherlands,Germany,Austria,Denmark,Switzerland,Estonia
Call: Inclusive and smart ways to communicate sustainability of food (HORIZON-CL6-2023-COMMUNITIES-01, 2023)
Start date: 2024-09-01
End date: 2028-08-31
Duration (months): 48.0
Total project cost (EUR): 6500000.0
EU funding (EUR): 6500000.0
Participants: 19
Project status: SIGNED

The TealHelix advances the state-of-the-art by proposing a more precise and targeted approach – empowerment through personalization and inclusion. Using the underlying logic of motivational matching, we will develop a number of new labeling approaches and digital social innovations to guide and improve consumer decision-making. Such an approach will also enable us to address resistance to sustainability ideas and tailor our interventions to the heterogeneity in individual needs of vulnerable consumers. Combining insights from life cycle, social and economic environments analysis, measurement, and consumer behavior theories, we will develop a new measure to assess how individual and planetary preferences for various sustainability dimensions can be aligned to reach sustainability goals. Next, we will test a number of means of transmission: traditional labeling approaches, digital and brick-and-mortar retail labeling approaches, and smart labeling approaches. To sustain and scale the change, we will develop integrity guidelines and new sustainability information provision standards for the industry. We will leverage the interdisciplinary and transdisciplinary competencies of the consortium in marketing, consumer behavior, psychology, environmental, information sciences, as well as in communication, retailing, and standard-setting industries. The project will generate multiple novel methods to study labeling approaches and original empirical evidence through machine learning-based 'big data' analysis, large-scale surveys, experience-sampling and micro-level experiments. Finally, we will integrate the findings into digital social innovations powered by AI tools to support labeling solutions. As a result, we will provide a deeper understanding of how various external environments shape attitudes and beliefs towards food sustainability labeling, how to motivate consumers to follow sustainable labeling guidelines, and how to include the ones who are in greatest need.

Keywords: personalized food labeling,food sustainability labeling
Shaping the future of flexible geothermal energy (FlexGeo)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Germany,Austria,Greece,Belgium,Spain,Italy,Switzerland
Call: Smart use of geothermal electricity and heating and cooling in the energy system (HORIZON-CL5-2023-D3-02, 2023)
Start date: 2024-06-01
End date: 2028-05-31
Duration (months): 48.0
Total project cost (EUR): 5662113.75
EU funding (EUR): 4997041.25
Participants: 11
Project status: SIGNED

FlexGeo aims to develop innovative geothermal energy system designs for maximized systems performance and flexibility. Pathing the way for the market entry of commercial modular reversible ORC systems will be, together with advanced smart control strategies and operational tools, the backbone of our concept. The proposed key-innovations will make geothermal systems more flexible, more efficient, more economically viable and adaptable for an implementation and market update across Europe and beyond. A modular rev. 200 kWel ORC unit with advanced control strategies and operational tool will be installed and demonstrated at a real district heating system at the TUM Campus in Garching, Germany. The first-time demonstration of this innovative technology on a TRL 7 level will directly path the way to its market entry after the project, since due to the attractive modular approach, the demonstrator already has the same capacity as the future commercial product. Furthermore, innovative geothermal system designs considering high- and low-temperature Underground Thermal Energy Storage (UTES) systems, advanced closed-loop systems (AGS) and enhanced flexibility of district heating (DH) and district cooling (DC) networks (DHCN), are pathing the way to a broad spread of the FlexGeo solutions across Europe and the world, resulting in largescale CO2 emission reductions.

Keywords: geothermal energy orc reversible orc utes flexibility smart advanced control monitoring
Dimensional Insights into Dissipative Kerr Solitons (ENLIGHTENS)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Belgium
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-06-01
End date: 2026-05-31
Duration (months): 24.0
Total project cost (EUR): 175920.0
EU funding (EUR): 175920.0
Participants: 1
Project status: SIGNED

The ENLIGHTENS project focuses on investigating how dimensions influence the dynamics, stability, and characteristics of dissipative solitons (DS) within externally driven multimode Kerr cavities. DS are fascinating localized structures that maintain their inherent shapes during propagation, owing to a delicate balance between the nonlinear Kerr effect, linear dispersion/diffraction, gain, and dissipative processes. These states retain their temporal profiles along the propagation direction, forming temporal solitons, or preserve spatial profiles orthogonal to the propagation direction, leading to the emergence of spatial solitons. Spatiotemporal solitons (STDS) represent a class of states that not only maintain spatial but also temporal profiles, exhibiting complex dynamics. However, such states tend to be vulnerable to wave collapse. In this context, the ENLIGHTENS project seeks to explore the dimensional aspects affecting the stability of DS as dimensions increase and develop strategies to enhance their stability. My preliminary findings suggest that phase modulation has the potential to expand the stability range within 1D temporal DS and could potentially stabilize 3D STDS. Within this framework, I will further conduct a comprehensive bifurcation analysis of these 1D temporal dissipative states under various influences, laying the groundwork for further investigation. Subsequently, I will focus on the transition of these 1D states by introducing spatial effects as a weak perturbation that later becomes a dominant factor in the system. This methodology enables me to progressively tackle increasing complexity, facilitating the study of high-dimensional problems in a step-by-step fashion. Understanding these states holds paramount significance and carries the potential for groundbreaking advancements across diverse technological domains, including the development of innovative multidimensional Kerr frequency combs.

Keywords: dissipative solitons,kerr cavity,spatiotemporal solitons,bifurcatioin analysis,fibers
MetamorphoSis of cultural Heritage Into augmented hypermedia assets For enhanced accessibiliTy and inclusion (SHIFT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on the European Cultural Heritage and the Cultural and Creative Industries
Action type: Research and Innovation actions
Countries involved: Romania,Greece,Sweden,Germany,Spain,United Kingdom,Bosnia and Herzegovina,Hungary
Call: Preserving and enhancing cultural heritage with advanced digital technologies (HORIZON-CL2-2021-HERITAGE-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 3527250.0
EU funding (EUR): 3527250.0
Participants: 14
Project status: SIGNED

SHIFT is strategically conceived to deliver a set of loosely coupled, technological tools, that offers cultural heritage institutions the necessary impetus to stimulate growth, and embrace the latest innovations in artificial intelligence, machine learning, multi-modal data processing, digital content transformation methodologies, semantic representation, linguistic analysis of historical records, and the use of haptics interfaces to effectively and efficiently communicate new experiences to all citizens (including people with disabilities). The development of SHIFT tools will be carried out in close consultation with the stakeholder communities represented in the project. The two CH networks (BMN, ANBPR) will launch open consultation to aggregate views from their members, while together with the cultural heritage institutions (SOMKL, SMB) and heritage professionals (Heritage Management), will provide requirements based on the cultural assets being maintained within each organisation. The diversity of digital media transformation and the semantic formalisation of the cultural assets will be individually demonstrated across each museum and library. Additionally, the inclusion by design principles adopted within the project, will be evaluated by CH networks and vulnerable group partner (DBSV), who will engage with the various tools developed in the project. In complementary to the stakeholders and end-users, the SHIFT project also brings together leading industrial (SIMAVI) and academic institutions (FORTH, UAU, QMUL). The consortium is complemented by SMEs (MDS, AUD) with high-tech product development teams and ethical expertise (ERC). Collectively, the project will release 12 technology solutions clustered into five thematic areas (computer vision, audio, text-to-speech, haptics, semantics and linguistics) that support accessibility and inclusion by design to overcome the shortcomings and limitations of CCI sector to enable growth and stimulation.

Keywords: augmented hypermedia,accessibility,inclusiveness,haptics,artificial intelligence,natural language processing,semantics and linguistic analysis,computer vision,text to speech
Automated monitoring in horticulture through spectral analysis with quantum dot detectors and high-resolution optical filters (HORTIQD)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: Photonics (co-programmed)
Countries involved: Germany,Poland,France,Italy
Call: Advanced imaging and sensing technologies (IA)(Photonics Partnership) (HORIZON-CL4-2023-DIGITAL-EMERGING-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 5860891.19
EU funding (EUR): 5204281.88
Participants: 13
Project status: SIGNED

The HortiQD project aims to develop an affordable and easy-to-use machine vision system for precision farming. The objective is to build a hyperspectral Short-Wave Infra Red camera working in the wavelength range of 1 - 2 µm with integrated point detection at smaller wavelengths, specifically suitable for orchard monitoring. To reach this goal we propose a novel detector type based on QD technology, based on lead- and mercury-free QDs in compliance with EU regulations and reducing the component cost by approximately 99%. The optical filter will allow for high spectral and spatial resolution, tunable to specific application requirements by design. The hyperspectral images, recorded in-vivo, will be analyzed by deep-learning algorithms in order to identify diseases in an early state and assess the plant health, starting with apples. A data management and correlation system will be set up and present the derived diagnoses and measures directly to the farmer in real-time. The system will be mounted on an already existing autonomous tractor, customized for horticulture, in order to verify the feasibility and targeted TRLs under realistic conditions in several orchard types. HortiQD will help to reduce or avoid the usage of pesticides in European orchards, paving the way towards sustainable farming and increasing food quality. It will scale up the intensity of monitoring by automation, hence, ensure the reliability of European food production. It will help analyze and address the impacts of climate change. The project aims for a fully integrated solution, consisting of several innovative sub components. Each of the developments brings benefit to the industry it addresses and opens up new markets, beyond agriculture and food.

Keywords: hyperspectral imaging,colloidal quantum dots,deep learning,precision farming,cmos swir imager,smart plant protection,integrated pest management,decission support system,big data analysis
Smart Implants for Life Enrichment (SmILE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Staying Healthy in a rapidly changing society
Action type: Research and Innovation actions
Countries involved: Germany,Portugal,Belgium,Luxembourg,Austria,Italy,Switzerland,Czechia,Spain,Croatia,Sweden
Call: The Silver Deal - Person-centred health and care in European regions (HORIZON-HLTH-2023-STAYHLTH-01, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 19992183.34
EU funding (EUR): 19992182.84
Participants: 27
Project status: SIGNED

Non-Communicable Diseases (NCDs) e.g. osteoporosis, osteoarthritis, joint & ligament wear, frailty fractures and associated complications in elderly are a severe threat frequently leading to a permanent decline of the patient’s general health and autonomy. NCD prevention is highly relevant to reduce the need for long-term care. The economic burden is expected to increase by 65% from 2020 to 2040 with a strong negative impact on patient’s quality of life. SmILE will provide a cross-sectoral, early risk detection methodology by holistic analysis of elderly patients’ health data. Co-creation with end-users and consideration of diverse needs, mental and physical abilities, living and socio-economic conditions as well as life-situation of older people are implemented. This includes training and enhanced stream of information to patients and other stakeholders. It will offer an AI-based patient analysis, incl. integration of smart wearables and medical devices incl. implants to support monitoring of general health status. Our approach will disrupt the cycle of frailty by minimizing physical decline and risk of re-fractures. To enhance the AI functions, new data sources will be established by instrumenting medical devices, mainly implants, to augment them into monitoring and actively supporting devices. SMILE will: (1) develop an integrated platform to collect, centralize, manage, analyze and share multimorbid geriatric patient data using technology such as AI & machine learning; (2) establish a pan-European bottom-up model of good governance of health data being patient-centered and patient-controlled in line with current regulations; and (3) establish a solution driven by the needs of citizens and patients of old age. SMILE will establish a new approach of outcome-monitoring to provide patient centered, personalized and integrated treatment of elderly NCD patients to improve quality of life, enable real empowerment and ease the financial burden in an ageing society.

Keywords: musculoskeletal health elderly implants medical devices information technology health platform artificial intelligence
Next generation organ-on-chip technology for more effective drug development (CellBox Labs)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Latvia
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

The pharmaceutical industry faces a daunting 90% attrition rate of potential drug candidates, which translates into a significant financial burden of €1.3-2.3bn for each successful drug brought to market. These staggering figures highlight a major challenge in drug development. Organ-on-Chip (OoC) technology is emerging as a predictive model that has the potential to revolutionize the drug development process. An OoC is a microfluidic platform that simulates physiological architecture and function of human organs and tissues by creating controlled microenvironments with vasculature-like perfusion and multicellular structures. These devices can significantly improve drug discovery processes by allowing simulation of complex interactions between organs and biological systems and therefore serving as more reliable test models that closely mimic human biology. Additionally, employing OoCs can dramatically accelerate the drug screening process and address growing ethical concerns by minimizing animal experimentation. At Cellbox Labs we have developed a unique OoC system that aims to drastically improve the drug development process. Our technology addresses the key limitations within the field via optimization and automation of experimental workflow as well as by implementing alternative manufacturing materials and methods that are suitable for compound screening. Our solution includes 2 key components: the chips and the instrument.

Keywords: ooc,loc,organ on chip,lung on chip,leaky gut