Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
SMART RENEWABLE HUBS FOR FLEXIBLE GENERATION: SOLAR GRID STABILITY (GRIDSOL)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Spain,Spain,Greece,Denmark,Denmark
Call: Developing the next generation technologies of renewable electricity and heating/cooling (H2020-LCE-2016-RES-CCS-RIA, 2016)
Start date: 2016-10-01
End date: 2019-11-30
Duration (months): 38.0
Total project cost (EUR): 3421447.5
EU funding (EUR): 3421447.5
Participants: 10
Project status: CLOSED

Fight against climate change has its main battlefield at the energy sector. Electricity and transport are the largest contributors to GHG emissions; the trend in transport toward electric vehicle will increase pressure on the electricity system and fundamentally change its dynamics. With producers focused on their legitimate business targets, and consumers focused on security of supply and low prices, the burden of decarbonizing electricity falls on policy makers as driving force, and on transport system operators (TSOs) as technical managers that ensure the safety and stability of supply. Grid stability is a delicate equilibrium, where some agents provide stability via ancillary services (regulating voltage and frequency) and others rely on that stability (consuming energy and/or disturbing the frequency due to embedded capacitors/impedances); power producers are usually stabilizers (synchronous turbines that provide inertia against sudden changes). Penetration of non-synchronous renewables such as Wind and PV threatens to disrupt the balance, especially in islands and poorly interconnected areas, as they provide power but rely on stability provided by others; this forces the system to have lots of synchronous generators idle just for stability, which is inefficient and costly. GRIDSOL wants to change the approach: we propose Smart Renewable Hubs, where a core of synchronous generators (CSP and biogas combined cycle HYSOL) is integrated with PV under a dynamic control system (DOME), self-regulating and providing ancillary grid services thanks to firm, flexible generation on a single output, tailored to a specific location, relieving pressure on the TSO. The project will research an advanced control (DOME) to ensure operation efficiency and grid stability with higher RES penetration, and a multi-tower concept for CSP cost reduction and efficiency improvement, to provide secure, clean and efficient electricity by getting the most of each renewable primary source.

Keywords: renewable energy sources,energy systems,smart energy,energy management,concentrated solar power,storage,integration,grid systems,energy economics,policy making,flexible generation
IMIBIC Fellowship Programme for Personalised and Precision Medicine (P2Med)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Spain
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2018, 2018)
Start date: 2019-08-01
End date: 2025-07-31
Duration (months): 72.0
Total project cost (EUR): 1324080.0
EU funding (EUR): 662040.0
Participants: 1
Project status: SIGNED

The latest developments in biomedical research have shown a shift toward a patient-centred medicine that allows for more tailored or personalised interventions. While this approach allows for more innovative solutions in diagnostics and medical treatments, it also requires a different set of skills for biomedical researchers. The generalisation of the use of –omics technologies, together with the access to vast amounts of patient data through ICT solutions and Big Data techniques, require specific training to ensure that researchers and medical doctors can make the most of this wealth of resources. Within this context, the Maimonides Biomedical Research Institute of Cordoba (IMIBIC) has designed the Fellowship Programme for Personalised and Precision Medicine (P2Med), a new fellowship programme to provide excellent researchers relevant, top-notch training and opportunity to carry out forward-looking research in the field of personalised and precision medicine, which is set to become the standard of medical practice. P2Med is based on individual-driven mobility and aims to increase trans-national and inter-disciplinary mobility of researchers. P2Med will offer one call for proposals for a minimum of 6 fellows based on an Open, Transparent and Merit-based Recruitment process in line with the recommendations of the European Charter and Code for Researchers. P2Med will contribute to improve the career prospects of experienced researchers in the field of Personalised and Precision Medicine, through individualised Career Development Plans with a focus on transferable and multidisciplinary skills that are characteristic of this field. Skilled researchers will be able to achieve higher impact of their research results, improving health services and creating innovative products. This will contribute to boost a knowledge-based economy and society in Andalusia, increasing Europe’s competitiveness in biomedical research.

Keywords: biomedicine,personalised medicine,precision medicine
Advanced Multimodal Photonics Laser Imaging Tool for Urothelial Diagnosis in Endoscopy (AMPLITUDE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Italy,Italy,Germany,Spain,Italy,Taiwan, Province of China,Finland,Hungary,United Kingdom,United Kingdom
Call: Application driven Photonics components (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 4656750.0
EU funding (EUR): 4486750.0
Participants: 11
Project status: SIGNED

There is an absence of lasers with the necessary wavelengths and characteristics to access the possibilities for deeper high-resolution biological tissue imaging in the third bio-window between 1650 nm and 1870 nm. Motivated by recent breakthrough results in multi-photon imaging at twice the depths currently achievable, we will meet the urgent need for new sources to address the outstanding research questions in this spectral region. Results will guide and enable instrument development in this appealing and relatively unexplored biophotonics imaging wavelength range. The AMPLITUDE consortium proposes a new concept of label-free, multi-modal microscopy and endoscopic imaging operating in this new wavelength region with multiple imaging and spectroscopic technologies, including NIR confocal reflectance microscopy, multi-photon microscopy and spontaneous Raman spectroscopy. By progressing ultrafast fibre laser developments at 1700 nm, we will deliver new imaging capabilities in an appropriate form factor and at cost suitable for widespread adoption. This will be further enhanced by providing additional output at 850 nm using second harmonic generation from one integrated laser device. This will enable a pioneering new compact and efficient multi-modal capability combining confocal and non-linear imaging techniques, overcoming performance limitations in medical and biological imaging applications, including improved pathohistological staging of tumours and in-vivo endoscopic assessment of depth of lesion invasiveness. Deeper multi-photon microscopy with autofluorescence imaging of cellular metabolic conditions, whose aspects are tightly related to cellular functioning and to cancer, implemented in tandem with Raman spectroscopy will provide exhaustive characterisation of the examined tissue at morphological, metabolic and molecular levels, allowing in-vivo optical biopsy for bladder cancer diagnosis, grading and staging.

Keywords: multi photon imaging,bladder cancer,fibre lasers,clinical histology,endoscopy
EVPRO - Development of Extracellular Vesicles loaded hydrogel coatings with immunomodulatory activity for Promoted Regenerative Osseointegration of revision endoprosthesis (EVPRO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Germany,Ireland,Italy,Germany,Germany,Germany,Germany,Germany,Netherlands,Netherlands
Call: Osteoarticular tissues regeneration (RIA) (H2020-NMBP-TR-IND-2018, 2018)
Start date: 2019-01-01
End date: 2023-11-30
Duration (months): 59.0
Total project cost (EUR): 5799088.75
EU funding (EUR): 5799088.75
Participants: 13
Project status: SIGNED

Revision endoprosthesis are mostly associated with post-surgical physical symptoms that can lead to long-term confinement to bed and in severe cases to implant rejection. Severe inflammatory reactions in the endoprosthesis shaft can occur due to a previous long-term prosthesis. Medically managing the inflammation process is challenging as it is difficult to introduce drugs to the site of inflammation after implantation of the revision endoprosthesis. EVPRO overcomes this problem by using human mesenchymal stem cell derived extracellular vesicles (MSC-EVs) which are known to suppress inflammatory reaction in humans, exert pro-regenerative effects in osteogenic setting and successfully treat patients with steroid-refractory graft-versus-host disease. In this project the MSC-EVs will be applied in direct physical proximity to the site of inflammation and will therefore affix on the implant surface to deliver their anti-inflammatory and regenerative effect in response to the local inflammation status. This will be achieved by safe integration of the MSC-EVs in a smart biodegradable hydrogel that is absorbed into the micropores of a TiO2 coating on the surface of conventional titan endoprosthesis. EVPRO enables the progression of each individual technology, along with EVPRO system level integration developments, into pre-clinical trials, this means in detail, the development of a GMP conformed large scale production of MSC-EVs, the establishing of an uniform method to purify and select the most potential MSC-EVs with a microfluidic system and the design of a self-regulated hydrogel as protection matrix of MSC-EVs with the function to store and release MSC-EVs in response to the inflammation status, The EVPRO project is an integration of multidisciplinary post-proof of concept technologies which enables the successful resolution of the enhanced osseointegration of endoprosthesis for osteoarticular tissue regeneration.

Keywords: mesenchymal derived extracellular vesicles,revision endoprosthesis,hydrogel,inflammation,tio2 surface coating
Fast and Sensitive Detection of Plant Hormones by Ion Mobility Spectrometry (PlantIMS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Slovakia
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2023-06-30
Duration (months): 24.0
Total project cost (EUR): 155364.48
EU funding (EUR): 155364.48
Participants: 1
Project status: SIGNED

The Plant Hormones (PHs) influence the plant growth, seed germination, fruit maturation, and fruit ripening, hence they play significant roles in the production of food crops. The detection of PHs is thus of great importance for the plant physiology studies and for research and applications in agriculture. The conventional PHs detection techniques employ mainly high-performance liquid and gas chromatography (HPLC, GC) and their combination with mass spectrometry. These techniques are reliable and sensitive; however, time demanding and require complex sample preparation methods. The Ion Mobility Spectrometry (IMS) has the potential to be developed as a fast and sensitive detection method for PHs. The objective of this project is to apply the IMS technique for PHs detection. Within the project, we plan to optimize operation parameters of IMS to improve the sensitivity and selectivity, and also to develop suitable sampling methods and methodology for detection of the PHs from plants and for online monitoring. The host institution (HI) offers an excellent multidisciplinary research environment and enables the fellow access to their unique experimental techniques in the field of IMS instrumentation including IMS-Time of Flight Mass Spectrometry (IMS-TOFMS). In addition, HI will provide expertise in the field of ion chemistry, plasma physics, access to available analytical methods, and interdisciplinary collaboration in the field of plant physiology. The fellow will contribute with her unique experience in the application of IMS in analytical sciences, to develop the sampling methods and methodology of IMS measurements of PHs. The project will boost the fellow’s research skills, enables her to gain experience in interdisciplinary research, and start an independent researcher career.

Keywords: ion mobility spectrometry,atmospheric pressure ionisation,gc ims,sampling,detection,plant hormones,real samples,online monitoring
Preventing and responding to conflict: developing EU CIVilian CAPabilities for a sustainable peace (EU-CIVCAP)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Coordination and support actions
Countries involved: Spain,Italy,Belgium,Serbia,Netherlands,United Kingdom,Denmark,United Kingdom,United Kingdom,Denmark,United Kingdom
Call: Conflict prevention and peace building topic 1: Enhancing the civilian conflict prevention and peace building capabilities of the EU (H2020-BES-2014, 2014)
Start date: 2015-12-01
End date: 2018-11-30
Duration (months): 36.0
Total project cost (EUR): 1714975.0
EU funding (EUR): 1714974.5
Participants: 12
Project status: CLOSED

The goals of preventing the outbreak of conflict and promoting sustainable peace remain a fundamental challenge to policymakers and analysts alike. The European Union (EU) and its member states require an adequate set of capabilities if they are to address this challenge in a timely and effective manner. EU-CIVCAP will provide a comprehensive, comparative and multidisciplinary analysis of EU civilian capabilities for external conflict prevention and peacebuilding in order to identify ‘the best civilian means to enhance these capabilities’ and address existing shortfalls. More specifically, this project has identified three inter-related objectives: (1) To assess EU civilian capabilities for external conflict prevention and peace building; (2) To identify and document lessons learned and best practices in EU conflict prevention and peacebuilding; (3) To enhance future policy practice and research on EU conflict prevention and peacebuilding. The project will gather, synthesise, further develop and disseminate knowledge and learning on civilian conflict prevention and peacebuilding. This will be done through, inter alia, the development of a catalogue of lessons learned and best practices reports, the creation of an expert network, engagement through social media, and the organisation of dissemination events in different formats in this area.

Keywords: peacebuilding,civilian capabilities
Perceptual Learning (Perceptual Learning)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Perceptual learning is fundamental to human cognition. It can be defined as an enhancement in the ability to distinguish between similar stimuli (that otherwise would be very hard to tell apart) as a consequence of experience with them, or with stimuli similar to the target stimuli. This allows the wine connoisseur to distinguish between different wines, the bird watcher to tell one warbler from another, and people to identify that face as a given person rather than someone else, if the face is taken from an ethnic grouping that they are familiar with. My research focuses on the mechanisms responsible for perceptual learning. By using a range of neuroscience techniques (tDCS, fMRI, TMS/MEP, EEG/ERP) in conjunction with the behavioural designs provided by experimental psychology I will investigate the neural basis for perceptual learning, test a computational model of the phenomenon, and try to control the development and expression of this perceptual skill. This programme of research will train me in new techniques, further develop my expertise in the domain of perceptual learning, and allow me to work in one of the leading laboratories for this type of research at the present time. It will also allow me to raise my and my discipline's profile, and to do this, as part of this research proposal, I will convene an International Workshop on Perceptual Learning to bring together the various researchers working on this issue and publish the proceedings as an edited book.

Keywords: perceptual learning,associative learning,face inversion effect,face recognition,tdcs,fmri
Data-driven sustainable agri-food value chains (Ploutos)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Innovation actions
Countries involved: Spain,Ireland,Italy,Spain,Italy,Ireland,Ireland,Italy,Italy,Cyprus,North Macedonia,Serbia,Greece,Slovenia,Greece,Greece,Greece,Greece,Slovenia,France,Netherlands,Netherlands,Netherlands,Netherlands
Call: Innovative agri-food value chains: boosting sustainability-oriented competitiveness (H2020-RUR-2020-1, 2020)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 8508075.08
EU funding (EUR): 6998523.75
Participants: 35
Project status: SIGNED

The Ploutos project focusses on rebalancing the value chain for the agri-food system, transforming it into one that works for the benefit of society and the environment. The project will develop a Sustainable Innovation Framework that follows a systemic approach to the agri-food sector, building on three pillars: Behavioural Innovation, Sustainable Collaborative Business Model Innovation and Data-driven Technology Innovation. Exploiting a history of significant agri-food projects and the respective ecosystems around these, the project will deploy 11 innovative systemic Sustainable Ιnnovation Pilots, where using a Multi-Actor Approach new innovative solutions and methodologies will be implemented, tested, assessed and derive practical lessons learned. The pilots cover a large range of agri-food ecosystems, across 13 countries, covering arable, horticulture (both open fields and greenhouses), perennials and dairy production among other. In each case, behaviour change, collaborative business modelling and data driven innovation will be integrated to deliver the most environmentally, socially, and economically sustainable solution. A Ploutos Innovation Academy will be established to as a vehicle for integrating the know-how, best practices and assessments developed across the project and derived from the Sustainable Innovation Pilots. Ploutos includes 33 partners, 23 of them being end-users, representing all relevant actors in the food system, including farmers, food industry companies, scientists, advisors, ICT specialists and policy makers.

Keywords: sustainability oriented innovation,sustainable innovation framework,sustainable collaborative business model innovation,behavioral innovation,data driven technological innovation
Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity (KATY)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Ukraine,Austria,Spain,Italy,Spain,Italy,Germany,Italy,Greece,Greece,Poland,Sweden,Slovenia,France,France,United Kingdom,United Kingdom,Portugal
Call: AI for Genomics and Personalised Medicine (H2020-SC1-FA-DTS-2020-1, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 8479900.0
EU funding (EUR): 8479900.0
Participants: 24
Project status: SIGNED

AI-empowered Personalized Medicine promises to find tailored, targeted, nearly “hand-made” cures for patients. Cancer treatment desperately needs boosters to find tailored, targeted cures for patients and Personalized Medicine can play a crucial role. Tailored targeted therapies in cancer treatment are already a reality but the current practice of targeted therapies in cancer treatment has been derived with traditional methods of data analysis. AI-empowered Personalized Medicine may help to bring targeted therapies to the next level. However, no matter how precise it is, no matter how many lives it can save in principle, and no matter if it can utilize the entire medical knowledge. If clinicians do not understand its suggestions and decisions, AI-empowered Personalized Medicine will not be a game changer, clinicians will not use it to make everyday decisions and, thus, it is doomed to fail. Hence, the real challenge is building AI-empowered Personalized Medicine systems that can be accepted by clinicians and clinical researchers. In KATY, we grasp the above challenge and we propose an AI-empowered Personalized Medicine system that can bring medical “AI-empowered knowledge” to the tips of the fingers of clinicians and clinical researchers. The AI-empowered knowledge is a human interpretable knowledge that clinicians and clinical researchers can: understand, trust and effectively use in their everyday working routine. KATY is then a AI-empowered Personalized Medicine system built around two main components: A Distributed Knowledge Graph and A pool of eXplainable Artificial Intelligence predictors. As a stress test and due to the lack of personalized clinical responses, KATY will be experimented in a low prevalence and complex cancer: Clear cell renal cell carcinoma (ccRCC).

Keywords: explainable machine learning,explainable artificial intelligence