Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
High Resolution Soil Moisture Mapping (VanderSat)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: SME instrument
Countries involved: Netherlands,Netherlands
Call: SME Instrument (H2020-SMEINST-1-2015, 2015)
Start date: 2015-12-01
End date: 2016-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

Extreme weather increasingly impacts the price behavior of agricultural commodities. As a result, new and more sophisticated techniques of forecasting crop yields gains importance. Those with access to, and an understanding of these techniques will have a competitive edge comparable to that of companies in the early days of the IT-boom. The most promising of these techniques is remote sensing, where typically satellites carrying cutting edge scientific instruments gather high resolution ‘images’ of the globe. These images enable us to make early predictions of yield across a range of crops. This high-tech forecasting relies on measuring how vegetation and soil reflect, absorb or emit electromagnetic radiation, most unseen by the naked eye. One of the most suitable satellite derived observation for the improvement of crop yield prediction is soil moisture. Currently the best available resolution for remotely sensed soil moisture at a global scale is approximately 25 x 25 km. VanderSat made a huge step in this field and is able to bring it down to 100 x 100 meter by using the Copernicus Sentinel Constellation; a staggering improvement of 62.500 times. Within this feasibility study, ATG Europe BV - a recognized as a leading provider of specialized engineering and scientific and technical services to the aerospace, space and high-tech industry - supported by Transmissivity BV - a specialist in soil moisture data mapping - aims to: 1. Verify the technological and practical viability (e.g. technological risk analysis) 2. Define the markets and related market potential (e.g. market study / SWOT analysis) 3. Determine the strategy for Intellectual Property management (IP management). 4. Determine the business/legal structure (creating the business). Compared to existing soil moisture mapping techniques VanderSat provides data on a global scale in a Near Real Time mode at a far better resolution, an approach that will put Europe at the forefront in remote sensing.

Keywords: soil moisture data mapping,remote sensing,focus on the sentinel constellation,near real time,high resolution
Towards Stable and Highly Efficient Tin-based Perovskite Solar Cells (TinPSC)

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: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-08-01
End date: 2020-07-31
Duration (months): 24.0
Total project cost (EUR): 185857.2
EU funding (EUR): 185857.2
Participants: 1
Project status: CLOSED

Developing new energy sources is an urgent issue, as fossil fuels will be exhausted in near future. Solar cells system is a promising renewable energy technology that converts sunlight to electricity. Today, crystalline silicon exhibits high power conversion efficiencies (PCE) and dominates the solar panel industry. The problem of silicon solar cells is that it suffers from high production cost due to tedious processing condition. Recently, organic-lead-halide perovskites have offered the promise of a breakthrough for next-generation solar cell devices, and the PCE is up to 22.6% over the past few years. In spite of high efficiency, the presence of toxic lead (Pb) will become problematic in the future for widespread deployment of this technology. It is prospective to replace Pb with less toxic tin (Sn). However, the poor stability (the easily oxidization of Sn2+ to Sn4+ by O2) and low efficiency are two major issues of Sn-based perovskites. This proposal targets air-stable, high efficient Sn-based perovskite solar cells by developing new Sn-based perovskites and electron transporting layer to match the band energy of perovskites. The expected fruits of the project will contribute to European excellence and competiveness in renewable energy field. The successful transfer of the results will promote economic growth and job supplies. In addition to the scientific objectives, the proposal will help the fellow to new acquire knowledge and reinforce his quality as an independent researcher, such as creativity, independent thinking, leadership and transfer qualities, which are critical for the fellow to secure a long-term position in a European university/institution, and eventually become a world renowned expert in the energy research field.

Keywords: sn based perovskites,solar cells,stable,high power conversion efficiency
Effective combinational treatment of chronic pain in individual patients, by an innovative quantitative systems pharmacology pain relief approach. (QSPainRelief)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Germany,Belgium,Belgium,Netherlands,Netherlands,United States
Call: Systems approaches for the discovery of combinatorial therapies for complex disorders (H2020-SC1-2019-Two-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 6239539.25
EU funding (EUR): 6239538.75
Participants: 10
Project status: SIGNED

Chronic pain is a complex disease suffered by about 20% of Europeans. Up to 60% of these patients do not experience adequate pain relief from currently available analgesic combinational therapies and/or suffer confounding adverse effects. Of the many conceivable combinations only a few have been studied in formal clinical trials. Thus, physicians have to rely on clinical experience when treating chronic pain patients. The vision of the QSPainRelief consortium is that alternative novel drug combinations with improved analgesic and reduced adverse effects can be identified and assessed by mechanism-based Quantitative Systems Pharmacology in silico modelling. This is far cheaper and less time-consuming than clinical trials. We will develop an in silico QSPainRelief platform which integrates recently developed 1) physiologically based pharmacokinetic model to quantitate and adequately predict drug pharmacokinetics in human CNS, 2) target-binding kinetic models; 3) cellular signalling models and 4) a proprietary neural circuit model to quantitate the drug effects on the activity of relevant brain neuronal networks, that also adequately predicts clinical outcome. This platform will include patient characteristics such as age, sex, disease status and genotypes, and will predict efficacy and tolerability of a wide range of analgesic and other centrally active drug combinations, and rank these. The best combinations will then be validated in a suitable animal model, in two clinical studies in healthy volunteers, as well as in real world clinical practice. Quantitative insights and confirmed effective combinational treatments will result in a game-changer by improving the management of pain in individuals and stratified sub-populations of chronic pain patients, and reduce the large burden on health-care providers greatly. It would also increase the understanding of chronic pain in general, and trigger the development of even better combination therapies in the future.

Keywords: quantitative systems pharmacology,personalised medicine,chronic pain,drug combinations,in silico discovery
Take the mystery out of battery life. (BatteryCheck)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Czechia
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-07-01
End date: 2020-01-31
Duration (months): 7.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Energy accounts for 60% of global greenhouse gas emissions and this share continues to further deteriorate. Rapid transition to renewable resources and electric vehicles seemingly could be a good cure but require a lot of rechargeable batteries for higher efficiency. The key challenge in this context is to understand how battery storage performance may be optimized, explore new ways of used battery application and maximize useful lifetime of the storage equipment. To address these challenges, we offer our intelligent cloud-based proprietary analytical SW solution which is monitoring the primary (single use) and secondary (rechargeable) batteries with various chemistries. The data will be subject to further processing and subsequently form the basis for the 3 services: Evotchi, ABEL and BaLiMa. Evotchi, a service watching over battery performance, identifies anomalies within time series of data from BMS and then provides personalized recommendations to users. ABEL (Average Battery End of Life) creates prediction based on AI/ML calculations about the forthcoming end of life of specific battery system. The service will also guarantee that the data will not be manipulated, thus unlocking new market opportunities (including new financing options) for used electric vehicles and energy storage systems in other industrial applications as parties will know the objective condition of the battery. BaLiMa (Battery Lifecycle Management), in turn, will recommend the best moment for repurposing the equipment, i.e. when the battery ceased being a good fit for its primary use scenario but fully capable of taking on secondary life and serving to another purpose. This service will provide recommendation for optimal timing of final disposal of the battery. We are confident that BatteryCheck not only delivers on UN's Climate Action goal (SDG#13) and Affordable and Clean Energy goal (SDG#7) but it also helps foster circular economy by prolonging effective utilization of all raw materials used in batteries since the beginning until the end.

Keywords: battery life,battery degradation,battery lifecycle management,circular economy
Templated Electro-Chemical Synthesis for Novel devices (TECNO)

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: Physics
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-11-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

The overall goal of TECNO is to become an enabling technology for InSb-based devices on Si, which has numerous and wide-ranging applications, such as IR sensing, Majorana zero mode devices, and high-performance cryogenic amplifiers. For this purpose, I propose an innovative approach to template-assisted selective deposition. In the currently implemented integration technology at IBM, I will replace the semiconductor deposition process (MOCVD) by electrochemical methods. This will enable entirely new possibilities of integrating III-V semiconductors on silicon for sensing and quantum computing. TECNO will result in an solution-based technology for the preparation of high-quality multicomponent semiconductor materials and validate the proposed path by demonstrating functional electronic devices on silicon. The aim of the project is also to significantly expand my knowledge base and therefore amplify the impact of my research as well as my career prospects. TECNO ideally demonstrates the mutual overlap of typically quite separate fields, i.e. chemistry with solid state physics and device engineering. My deep expertise in electrochemistry perfectly matches the requirements of IBMs semiconductor interests and their integration technology. It is truly beneficial for both parties involved. IBM will benefit from my electrochemical solution expertise, while I will learn how to push my work to another level of maturity and impact in an industrial environment.

Keywords: monolithical integration on silicon,ir detector,cmos,template assisted deposition
The Curiosity Carnival: Oxford European Researchers’ Night 2017 (Curiosity Carnival)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: United Kingdom
Call: European Researchers' Night (H2020-MSCA-NIGHT-2016, 2016)
Start date: 2016-06-01
End date: 2017-12-31
Duration (months): 19.0
Total project cost (EUR): 407172.0
EU funding (EUR): 223152.92
Participants: 1
Project status: CLOSED

By capitalising on the University of Oxford’s world-class European-funded research base, together with our outstanding museums, libraries, gardens and woods, education programmes and public engagement expertise, we will create a truly inspirational multi-venue multi-disciplinary European Research night in 2017 on the theme of ‘People and Planet'. The event itself will be a city-wide programme of high quality and innovative activities utilising both University of Oxford venues in addition to busking-type activities taking place in shopping centre locations. Each venue will have its own ‘flavour’ – focusing on specific research topics and encompassing different activities - so that there will be ‘something for everyone’. By focusing on quantity and quality, we will create a much bigger impact on the audiences and participating researchers and create a long lasting legacy. Objectives: a) Organise an inspirational large-scale public engagement with research event at 8 different venues and locations that engages 10,000+ people via the live activities and 250,000+ via digital and media activities. b) Increase awareness of research and its impact on society to an audience of young people and their influencers. c) Enable at least 200 researchers, including a significant proportion of female researchers, to take part. d) Inspire young people to consider a career in research e) Share our challenges, successes and lessons learnt. Activities will include interactive stalls; games; mass experiments; science ‘demos’; a ‘living library’ for the public to take out a researcher 'on loan' and two grand finales with musical performances. The awareness campaign will facilitate even greater public-researcher engagement across digital and media platforms. This will include a fun and educational online activity for school pupils to interact with researchers. The in-depth impact assessment will utilise baseline data and both quantitative and qualitative methods.

Keywords: quality,large scale,multi venue,two way engagement,impact,legacy,innovation
Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Spain,Spain,Spain,Austria,Italy,Bulgaria,Switzerland,Slovenia,Belgium,Türkiye,Latvia,Portugal
Call: Big data and Artificial Intelligence for monitoring health status and quality of life after the cancer treatment (H2020-SC1-DTH-2019, 2019)
Start date: 2020-01-01
End date: 2023-02-28
Duration (months): 38.0
Total project cost (EUR): 5065106.25
EU funding (EUR): 5065106.25
Participants: 18
Project status: CLOSED

PERSIST aims at developing an open and interoperable ecosystem to improve the care of cancer survivors. The key results to be achieved by partners are: increased self-efficacy and satisfaction with care as well as reduced psychological stress for a better management of the consequences of the cancer treatment and the disease, resulting in an improvement in health and wellbeing and a faster integration into the labour market, where applicable, compared to usual care (KR1); increased effectiveness in cancer treatment and follow-up by providing prediction models from Big Data that will support decision-making and contribute to optimal treatment decisions with positive consequences in the QoL and the health status of survivors (KR2); and improved information and evidence to advance the efficacy of management, intervention and prevention policies/strategies in order to timely treat side effects and, if possible, avoid secondary diseases and fatal events. The long-term result will be to reduce the socio-economic burden related to cancer survivors’ care (KR3). The ecosystem proposed consists of a Big Data platform to be built on top of an open infrastructure from one of the partners and a mHealth application for patients. The main building blocks to be developed are a multimodal sensing network running on a smart phone that will collect relevant data regarding the wellbeing of the patient; predictive models from anonymised health data from thousands of breast and colorectal patients; and modules essential for the development of a decision support system, which will employ the predictive models mentioned. Furthermore, PERSIST will contribute to establish evidence on the use of liquid biopsy techniques to the follow-up of cancer patients treated with curative purposes. A pilot study involving 160 patients and 32 health care professionals will be decisive to establish a co-creation methodology ranging from the earlies phases of the project throughout its conclusion.

Keywords: survivorship care,interoperability,privacy,security and ethics
European Plate Observing System Sustainability Phase (EPOS SP)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Research and Innovation actions
Countries involved: Iceland,Germany,Spain,Italy,Italy,Switzerland,Norway,Poland,Sweden,Belgium,Greece,Poland,Romania,Slovenia,France,France,France,France,Netherlands,Portugal,Portugal,Denmark,United Kingdom,Portugal,Portugal
Call: Individual support to ESFRI and other world-class research infrastructures (H2020-INFRADEV-2019-2, 2019)
Start date: 2020-02-01
End date: 2023-04-30
Duration (months): 39.0
Total project cost (EUR): 4998093.75
EU funding (EUR): 4998093.75
Participants: 31
Project status: SIGNED

The future and security of humankind dwelling on Planet Earth depend on our ability to live and cope with the complex Earth system in all its dimensions. Our ability to monitor the surface and subsurface of the Earth and to forecast catastrophic events and their impacts on society is increasingly pertinent as our society develops. Earth system processes transcend national boundaries and the European Plate Observing System (EPOS) brings the solid Earth networks in Europe into a single distributed research infrastructure. EPOS has been designed with the vision and the mission of creating a pan-European infrastructure for solid Earth science relying on novel e-science concepts to provide virtual access to data and services as well as physical access to facilities for a broad community of users. The innovation potential of the EPOS infrastructure involves enabling the use of multidisciplinary solid Earth science data, data products and services relying on national research infrastructures distributed across the whole Europe. The overall objective of the EPOS Sustainability Phase (EPOS SP) project is to ensure the long-term sustainability of the EPOS Research Infrastructure. This will be done by creating effective synergies among diverse actions dedicated to: (i) secure governance and financial sustainability through the entire research infrastructure lifecycle; (ii) secure technical sustainability and develop innovation to fully exploit data and service provision; (iii) establish and maintain excellence by preserving and reinforcing the trust and awareness of users; (iv) exploit economic and societal benefits to keep stakeholders engaged. The EPOS SP project is timely in the EPOS RI lifecycle because it will consolidate the long-term operational perspective of EPOS ERIC and the EPOS Delivery Framework. EPOS SP is addressing all aspects of sustainability to tackle the challenge of moving from technical and financial viability to long-term sustainability.

Keywords: long term sustainability,research infrastructure,solid earth science,governance,innovation,international cooperation,industry,society,outreach,training,access provision
Consumer-driven demands to reframe farming systems (Code Re-farm)

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: Research and Innovation actions
Countries involved: Austria,Spain,Italy,Italy,Italy,Cyprus,Greece,Greece,Switzerland,Greece,Serbia,Switzerland,Switzerland,Greece,Netherlands,Netherlands,Denmark
Call: Husbandry for quality and sustainability (H2020-FNR-2020-2, 2020)
Start date: 2021-05-01
End date: 2024-10-31
Duration (months): 42.0
Total project cost (EUR): 5850917.5
EU funding (EUR): 5850917.5
Participants: 21
Project status: SIGNED

Intensive livestock production systems (ILPS) are growing fast to satisfy demand. However, there is public scepticism about intensification in livestock production driven primarily by adverse links to environmental aspects and sustainable utilization of natural resources. Moreover, ILPS are perceived as being detrimental to animal health & welfare and may potentially undermine the quality of derived products. Extensive livestock production systems are low-input systems which are critical to support the development of rural communities. However, economic sustainability of such systems is often questioned as they are challenged by natural resource limitations, adverse climatic conditions and diseases. Products from extensive systems are considered of superior quality, but their resource-limited environment undermines their safety. Understanding key strengths & weaknesses of different farming systems is crucial for sustainable production and delivery of quality products. Therefore, strategic planning and a profitability analysis considering the system-oriented challenges and the added-value resulting from consumer-driven demands and niche products are necessary. Dairy cattle and swine production are the most significant livestock sectors in Europe. However, our proposal will take a different approach. When compared to cattle & swine production, both poultry and goat production systems are more resilient, sustainable and adaptable to change. Code:Re-Farm focuses on poultry & goat production systems with the goal of understanding the links between husbandry systems and intrinsic quality of derived products. Novel technologies will also be exploited for assessing the intrinsic quality of products along the value chain, farm to fork. The insights from this assessment, combined with insights on societal demands and sustainability of production processes will drive alternative solutions (to be openly shared with the community)that fit sustainable, consumer-driven business.

Keywords: farm to fork quality assessment,novel tools,methods for quality assessment,product lifecycle monitoring,consumer driven business,farm sustainability,food quality,food safety,green deal