Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Image-Guided Surgery (IGS) and Personalised Postoperative Immunotherapy To Improving Cancer Outcome (ISPIC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy,Germany,Germany,Germany,Switzerland,Norway,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 3922309.44
EU funding (EUR): 3922309.44
Participants: 14
Project status: CLOSED

The basic concept of our proposal is to develop nanoparticle-based encapsulated libraries of different immunotherapeutic biomolecules for treatment after surgery as part of a novel cancer management strategy. The current state-of-art for the management of cancer starts with surgery, after identification of an accessible tumour mass. Surgery remains an effective treatment option for many types of cancer today and it is considered curative treatment for most solid tumours. It forms part of a multidisciplinary approach used in conjunction with radiotherapy or chemotherapy. These approaches, however, have several limitations, including inability of surgical resection to affect distal metastatic disease, toxicity to healthy tissues with chemotherapy and lack of effectiveness of radiation therapy in more aggressive tumours. The observation that cancer can relapse months or years after initial surgery implies that micrometastases still resides within the body in a latent state. Our proposal is to take cancer therapy to beyond state-of-art by implementing techniques which will take us into new directions. This includes a) new methods to identify immune gene profiles and biomarkers b) transgenic mouse models where the complex interactions that underlie immune function can be visualised as multiplexed events in real time and c) the use of nanoparticle-based libraries of immune modulating reagent combinations. There are three key objectives within this project: i) to use immune gene signatures to monitor disease progression and therapeutic efficacy of immunotherapy combinations on nanoparticle-based platforms, ii) to optimise the platform to encapsulate libraries of immune components for more personalised, accurate and timely delivery of the payload to its intended target and iii) to optimise the overall cancer management process of image-guided surgery followed by postoperative immunotherapy so that we can ultimately provide a lifetime of protection against cancer.

Keywords: less invasive surgery,personalized nanomedicine approaches,image guided surgery,immunotherapy
Synchronisation to enhance reliability of climate predictions (STERCP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Norway
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2021-08-31
Duration (months): 72.0
Total project cost (EUR): 1999388.75
EU funding (EUR): 1999388.75
Participants: 1
Project status: CLOSED

Climate prediction is the next frontier in climate research. Prediction of climate on timescales from a season to a decade has shown progress, but beyond the ocean skill remains low. And while the historical evolution of climate at global scales can be reasonably simulated, agreement at a regional level is limited and large uncertainties exist in future climate change. These large uncertainties pose a major challenge to those providing climate services and to informing policy makers. This proposal aims to investigate the potential of an innovative technique to reduce model systematic error, and hence to improve climate prediction skill and reduce uncertainties in future climate projections. The current practice to account for model systematic error, as for example adopted by the Intergovernmental Panel on Climate Change, is to perform simulations with ensembles of different models. This leads to more reliable predictions, and to a better representation of climate. Instead of running models independently, we propose to connect the different models in manner that they synchronise and errors compensate, thus leading to a model superior to any of the individual models – a super model. The concept stems from theoretical non-dynamics and relies on advanced machine learning algorithms. Its application to climate modelling has been rudimentary. Nevertheless, our initial results show it holds great promise for improving climate prediction. To achieve even greater gains, we will extend the approach to allow greater connectivity among multiple complex climate models to create a true super climate model. We will assess the approach’s potential to enhance seasonal-to-decadal prediction, focusing on the Tropical Pacific and North Atlantic, and to reduce uncertainties in climate projections. Importantly, this work will improve our understanding of climate, as well as how systematic model errors impact prediction skill and contribute to climate change uncertainties.

Keywords: climate prediction,seasonal to decadal prediction,internal climate variability,model systematic error
Global BioImaging Project - International imaging infrastructure services for the life science community (Global BioImaging)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Support and infrastructures
Action type: Coordination and support actions
Countries involved: Italy,Spain,Germany,Finland,France,Netherlands,United Kingdom
Call: International cooperation for research infrastructures (H2020-INFRASUPP-2014-2, 2014)
Start date: 2015-12-01
End date: 2018-11-30
Duration (months): 36.0
Total project cost (EUR): 1780585.0
EU funding (EUR): 1780585.0
Participants: 7
Project status: CLOSED

The EC H2020 funded "Global BioImaging Project" enables Euro-BioImaging, the research infrastructure for access to biological and medical imaging technologies on the ESFRI roadmap, to work together with its international counterparts - the Australian Microscopy and Microanalysis Research Facility (AMMRF), the National Imaging Facility (Australia) and India-BioImaging - on concrete and sustainable services for imaging infrastructure staff and users. The project is based on their signed collaboration agreements regarding the successful operation of imaging infrastructures to support research in the areas of biological and medical sciences. Euro-BioImaging together with the AMMRF, NIF and India-BioImaging will exchange best practice in imaging facility management and operation, quality management, open access policies; develop and support common training activities in infrastructure operation and cutting-edge imaging technologies for facility staff and users; develop a common virtual platform for training material on imaging technologies; develop a common virtual platform for image data analysis software. Both platforms will be openly accessible for the scientific community. In addition, Euro-BioImaging plans to reach out for imaging infrastructure counterparts in Argentina, Japan, South Africa, and the USA, to extend this network of national imaging infrastructures around the globe for their close collaboration in the future. In doing so, Global BioImaging Project strengthens the position and visibility of Euro-BioImaging in the global research landscape and establishes the foundation for a long-term alliance which will serve the international community of imaging infrastructure users and operators as well as cutting-edge research based on innovative imaging technologies in the life sciences in general.

Keywords: euro bioimaging,imaging infrastructure,international cooperation,exchange of best practice,advanced training for facility staff,international reciprocal access,image data,outreach
Influence of Insecticide Resistance, Wolbachia and their Interaction on Chikungunya transmission (IRWIC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-05-01
End date: 2019-04-30
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Vector-borne diseases represent one of the greatest public health challenges. Their incidence and their geographical range have dramatically increased over the past several decades. Due to the lack of protective vaccines, the control of transmission by targeting the mosquito vectors is the only affordable measure. However, mosquito vectors experience a very intense selective pressure from insecticides, which has led ultimately to the selection of insecticide resistance in many vector species. Alternative control strategies that are species-specific and environmentally friendly are being developed. Among them, the use of the symbiotic bacteria Wolbachia as sterilizing agent of mosquito populations through the incompatible insect technique (IIT) appears promising. Furthermore, it was shown that insecticides as well as Wolbachia can affect the infection of mosquitoes by pathogens, and thus their transmission. An important question is how mosquitoes' adaptations to insecticides and to Wolbachia influence the vector competence for pathogens? This proposal addresses this question in the context of the emergence of Chikungunya worldwide in order to sustainably control its transmission with current and prospective vector control tools. It addresses in particular the question whether there are any interactions between insecticide resistance and symbiotic Wolbachia infection that might significantly affect the vector competence of Aedes albopictus for Chikungunya virus. Characterizing the genes likely involved in vector competence and how they can be modulated to alter this trait will provide valuable data for management of transmission control strategies. It will allow a more rational use of insecticides, as well as the development of alternative control methods based on Wolbachia; both approaches are crucial in the context of widespread insecticide resistance.

Keywords: chikungunya,tiger mosquito,insecticide resistance,wolbachia,infection,transmission
Open Quantum Neural Networks: from Fundamental Concepts to Implementations with Atoms and Photons (QNets)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany,United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 1486439.0
EU funding (EUR): 1486439.0
Participants: 2
Project status: SIGNED

Reaching a fundamental understanding of quantum many-body systems and fully harnessing their computational power for information processing is one of today’s greatest scientific challenges. To date, unprecedented research efforts are underway to build quantum devices, which would outperform the most powerful classical computers. At the same time, neural networks are currently revolutionising the handling of large amounts of data, with enormous success in pattern and speech recognition, machine learning, the analysis of ‘big data’ and ‘deep learning’. Driven by the hope of combining massive parallel information processing in neural networks with quantum advantages like computational speedup, there have been various efforts to develop quantum neural networks – without satisfactory answers to date. The overarching goal of this theoretical research programme is to tackle this enormous challenge from a fresh perspective: we will establish and explore a conceptual framework for quantum neural networks and identify quantum optical physical building blocks, based on concepts in the domain of open many-body quantum systems. This ambitious aim will be achieved by interlinking a multitude of scientific areas ranging from atomic physics, quantum optics, quantum engineering and condensed matter physics to quantum information and computer science. This research will not only generate a genuine step change in our fundamental understanding of the ways nature allows for quantum information processing. It will also lay the foundation for quantum neuromorphic engineering of a new generation of quantum neural hardware in state-of-the-art and newly emerging experimental systems of ultra-cold atoms and trapped ions. With my interdisciplinary background in quantum information and quantum engineering, quantum optics and atomic physics, I am in a unique position to successfully realise this research. I will also strongly benefit from the vital scientific environment at Swansea University.

Keywords: quantum engineering,rydberg atoms,trapped ions,quantum neural networks
SELENDIS: A novel detection strategy to discover light Dark Matter (SELENDIS)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

Ordinary matter - which includes stars, galaxies, and the human body - only accounts for 20% of the total mass of the Universe. The missing mass consists of so-called Dark Matter (DM) which, while invisible, betrays its presence through gravitational effects on its surrounding environment. For the past several decades, DM particles have been extensively sought after but yet, keep eluding detection. Why? There is now compelling reasons to believe that these particles are lighter than first-anticipated. As a result, their discovery requires energy detection thresholds and background discrimination capabilities beyond state-of-the-art detector performance. The goal of this research proposal is to enable a potential light DM discovery. To achieve this aim, I want to develop a novel cryogenic detector technology called SELENDIS (Single ELEctron Nuclear recoil DIScrimination). The proposed detector will allow for the first time in DM search history for particle-type identification down to single electrons. After only two weeks of data taking, SELENDIS’ sensitivity to light DM will exceed that of state-of-the-art experiments. Based on my 6 years experience in DM searches, I will develop advanced competencies in cryogenics, cold-electronics, signal treatment, to cite but a few, in a multidisciplinary framework. I will work in a laboratory equipped with a cryostat with world-leading vibration levels within a team of experts in the development of cryogenic detectors for DM searches with EDELWEISS and low-energy neutrino physics with RICOCHET. Hosted in a top-class institution (IPNL/CNRS), this 24-month Marie Curie fellowship will support my future scientific career by providing me with technological competencies, broadening my network opportunities and developing my leadership capabilities. Because SELENDIS represents the next generation of light DM detectors, this research will contribute to European excellence and competitiveness in a frontier research field.

Keywords: low energy rare event searches,dark matter,direct detection,low mass wimps,semiconductor detectors,luke neganov,ionization,phonons,neutrinos
Making Contracts Digital with Civilised Blockchain (B4TDM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Poland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-05-01
End date: 2021-07-31
Duration (months): 27.0
Total project cost (EUR): 2780575.0
EU funding (EUR): 1946402.5
Participants: 1
Project status: CLOSED

The era of paper, a technology invented more than 2, 000 years ago, has not finished dying yet for organizations such as banks, insurers, telco operators and utility providers. Most of them (over 80%) still use paper in their contractual relationships with millions of their clients. Organizations are not only struggling to meet often contradictory requirements of the EC regulations of “durable medium” and “the right to be forgotten”, they are also facing a dilemma of choosing IT solutions which only partially address their needs in publication of standardized (e.g. new regulations) and private documents (e.g. loan agreements), digital signatory and KYC (Know Your Customer) procedures. Answering those challenges, Billon developed a revolutionary end-to-end solution based on blockchain that can provide organizations with highly awaited, fully configurable functionalities such as: document publication, active delivery, digital signing, as well as digital identity management based on immutable data storage and fast retrieval. Billon’s solution is based upon a proprietary next generation Distributed Ledger Technology (DLT) architecture which ensures the integrity and security of data in mass scale implementation ensuring full compliancy with legal regulations. Neither currently available IT solutions such WORM (Write Once Read Many) based platforms nor other IT systems, including those based on blockchain are able to meet the need. Billon’s unique solution for management of contractual relationships which addresses the market segment worth €1.6Bn p.a. of the worldwide market which grows at a CAGR of 81.2%. Upon complementing our solution with active delivery, digital signature and digital identify management, all made with the blockchain, Billon has the potential to seriously decrease operational costs and also bring the unprecedented level of document and privacy control, and validation to people all around the world giving them back control over their personal data.

Keywords: blockchain,contractual relationships,regulations,gdpr,durable media,fintech,the right to erasure,distributed ledger technology,document management,digital transformation
Smart building retrofitting complemented by solar assisted heat pumps integrated within a self-correcting intelligent building energy management system. (Heat4Cool)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies enabling energy-efficient systems and energy-efficient buildings with a low environmental impact
Action type: Innovation actions
Countries involved: Spain,Spain,Germany,Spain,Italy,Belgium,Switzerland,Bulgaria,Greece,Hungary,Poland,United Kingdom,United Kingdom
Call: Integration of advanced technologies for heating and cooling at building and district level (H2020-EEB-2016, 2016)
Start date: 2016-10-03
End date: 2021-04-02
Duration (months): 54.0
Total project cost (EUR): 7934577.51
EU funding (EUR): 5703012.88
Participants: 14
Project status: CLOSED

Heat4Cool proposes an innovative, efficient and cost-effective solution to optimize the integration of a set of rehabilitation systems in order to meet the net-zero energy standards. The project develops, integrates and demonstrates an easy to install and highly energy efficient solution for building retrofitting that begins from the Heat4Cool advanced decision-making tool (which addresses the building and district characteristics) and leads to the optimal solution combining (1) gas and solar thermally driven adsorption heat pumps, which permits the full integration with existing natural gas boilers to ensure efficient use of current equipment , (2) solar PV assisted DC powered heat pump connected to an advanced modular PCM heat and cold storage system, and (3) energy recovery from sewage water with high performance heat exchangers. This retrofitting solution together with a closer interaction between building monitoring, demand/respond supply match, weather forecast and HVAC activation/control through a Self-Correcting Intelligent Building Energy Management Systems (SCI-BEMS) will save at least 10% of energy consumption. The project will implement four benchmark retrofitting projects in four different European climates to achieve a reduction of at least 20% in energy consumption in a technically, socially, and financially feasible manner and demonstrate a return on investment of 8 years. The Heat4Cool consortium will ensure the maximum replication potential of the Heat4Cool solution by a continuous monitoring of technical and economic barriers during the development and validation phases in order to present the building owners and investors with clear energy and economic evidence of the value of implementing Heat4Cool solution. A detailed business plan will be developed in the beginning of the project to strengthen the exploitation plan of the retrofitting package and set the basis for a massive replication of the demonstrated concept across Europe.
Anglo-American Relations and the 'Intermestic', 1977-81: A Case Study of the Influence of National Parliaments on Foreign Policy (INTERMESTIC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United States,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-02-01
End date: 2019-01-31
Duration (months): 36.0
Total project cost (EUR): 251857.8
EU funding (EUR): 251857.8
Participants: 3
Project status: CLOSED

This project is the first in-depth examination of the impact made by the U.S. Congress and the British Parliament on Anglo-American relations, and the 'intermestic' dimension of foreign policy. Using the relationship between the Carter administration and the Callaghan and Thatcher governments as case study, I will demonstrate how the transatlantic partnership was shaped by lobbyists in the House of Representatives, the Senate, and Westminster. The wider objective is to provide a new framework for understanding (a) the role played by national parliaments on foreign policy decisions; and (b) the ways in which parliaments and parliamentarians can shape bilateral ties, and foreign relations generally. Undertaking expert training-through-research at Cornell and Nottingham Universities, the project will correct a major problem in the methodology of diplomatic history, where the impact of legislative institutions and parliamentarians on government policymaking continues to be under-studied or overlooked. On completion of the fellowship, I will have significantly advanced our knowledge of Cold War history and Anglo-American relations, explained the importance of the ‘intermestic’ for how we approach the study of foreign policy, and demonstrate how parliaments shape bilateral relations in ways which are never considered by historians.

Keywords: diplomatic history,political history,u s foreign relations,british foreign policy,anglo american relations,cold war,international relations,congress,parliament,parliamentarians