Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Reactivation of the Fanconi anemia-BRCA pathway in cells carrying patient-derived missense mutations: finding a drug to cure Fanconi anemia (FANCODRUG)

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: Life Sciences
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-03-07
End date: 2019-03-06
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Fanconi anemia (FA) is a genetic disease characterized by bone marrow failure, malformations and cancer predisposition. Currently, there is no cure for FA and life expectancy is 29 years. In addition, FA cells are hypersensitive to DNA coss-linking agents used in chemotherapy making cancer treatment difficult. The genetic cause of FA is heterogeneous, involving at least 19 different FA genes (FANCA, B, C, D1/BRCA2, D2, E, F, G, I, J, L, M, N, O, P, Q, R, S/BRCA1 and T) all interacting in a common DNA repair pathway (the FA/BRCA pathway). FANCD2 ubiquitination and localization at sites of DNA damage is a key step in the activation of the FA pathway and it is used to assess its functionality. Importantly, mutations in FANCA are the most prevalent, accounting for 60-85% of FA cases. FANCA missense mutants mislocalize FANCA to the cytoplasm instead of the nucleus, thereby inactivating the FA pathway. However, FANCA mutants may retain its functionality, suggesting that correction of the subcellular mislocalization of FANCA missense mutants may be an effective way to reactivate the FA/BRCA pathway in these patients. In this application, we propose to conduct a study to develop a system to promote nuclear localization of FANCA missense mutants and evaluate its impact on the activation of the FA/BRCA pathway. This study will yield valuable information about the molecular mechanisms that determine FANCA subcellular localization and pathogenicity of the mutations. In a second part of the project, we will use an unbiased high-throughput approach to screen for drugs that can reactivate the FA/BRCA pathway in cells containing FANCA missense mutations, independently of their mechanism of action. In summary, using a combination of targeted and unbiased approaches, we aim at finding the first drug with the potential to cure FA in a large subset of patients. Personalized medicine-based therapies may be the only option to cure FA and other highly heterogeneous genetic diseases.

Keywords: fanconi anemia,drug discovery,missense mutations,rare disease
Gravity, Holography and The Standard Model (SM-GRAV)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Greece,France
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2016-01-01
End date: 2021-09-30
Duration (months): 69.0
Total project cost (EUR): 1649237.5
EU funding (EUR): 1140862.5
Participants: 2
Project status: CLOSED

The main thrust of this proposal is to investigate implications of a recent correspondence (string theory (ST) vs. gauge theory) to the physics beyond the Standard Model (SM) and its coupling to gravity. Instead of relying on the string picture of the unification of all interactions with gravity, I propose to look at its dual version: 4d quantum field theories (QFT). The different perspective is expected to provide 3 distinct results: (a) A QFT view of the SM embedding in string theory (b) Novel phenomena and properties that are hard to see in the string theory picture. (c) A "dual" view that would be valid in non-stringy regimes. The key idea is that gravity, as observed in nature, is emergent: it is the avatar of a (hidden) large-N (near) CFT that is interacting with the SM at high energy (the Planck scale). Such an approach provides an appealing UV completion to the SM+gravity: a UV complete four-dimensional QFT. There are, however, many questions that need to be addressed in order for this setup to be a viable physical theory: 1. Why is the gravitational force four-dimensional (instead of higher-dimensional as suggested by standard holography)? 2. Why does the coupling of the gravitational force to the SM satisfy the equivalence principle to such a high accuracy? 3. What are other universal interactions with the SM model implied in this picture? What are their phenomenological consequences? 4. How can one construct, precise and controllable models for this setup? 5. How is Cosmology emerging in this picture? How do the important problems associated with it get resolved? SM-GRAV will address all of the above questions using the tools of QFT, of string theory and the AdS-CFT correspondence. The outcome of the proposed research is expected to be a concrete and quantitative model/scenario for the emergence and coupling of the "gravitational sector fields" to the SM model and the novel phenomenological implications for particle physics and cosmology.

Keywords: standard model,gravitational force,holography,new forces,axions
Distributed Signal Processing Algorithms for Chronic Neuro-Sensor Networks (DISPATCH Neuro-Sense)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Belgium
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2024-06-30
Duration (months): 66.0
Total project cost (EUR): 1489656.0
EU funding (EUR): 1489656.0
Participants: 1
Project status: SIGNED

The possibility to chronically monitor the brain 24/7 in daily-life activities would revolutionize human-machine interactions and health care, e.g., in the context of neuroprostheses, neurological disorders, and brain-computer interfaces (BCI). Such chronic systems must satisfy challenging energy and miniaturization constraints, leading to modular designs in which multiple networked miniature neuro-sensor modules form a ‘neuro-sensor network’ (NSN). However, current multi-channel neural signal processing (NSP) algorithms were designed for traditional neuro-sensor arrays with central access to all channels. These algorithms are not suited for NSNs, as they require unrealistic bandwidth budgets to centralize the data, yet a joint neural data analysis across NSN modules is crucial. The central idea of this project is to remove this algorithm bottleneck by designing novel scalable, distributed NSP algorithms to let the modules of an NSN jointly process the recorded neural data through in-network data fusion and with a minimal exchange of data. To guarantee impact, we mainly focus on establishing a new non-invasive NSN concept based on electroencephalography (EEG). By combining multiple ‘smart’ mini-EEG modules into an ‘EEG sensor network’ (EEG-Net), we compensate for the lack of spatial information captured by current stand-alone mini-EEG devices, without compromising in ‘wearability’. Equipping such EEG-Nets with distributed NSP algorithms will allow to process high-density EEG data at viable energy levels, which is a game changer towards high-performance chronic EEG for, e.g., epilepsy monitoring, neuroprostheses, and BCI. We will validate these claims in an EEG-Net prototype in the above 3 use cases, benefiting from ongoing collaborations with the KUL university hospital. In addition, to demonstrate the general applicability of our novel NSP algorithms, we will validate them in other emerging NSN types as well, such as modular or untethered neural probes.

Keywords: neural data processing algorithms,brain computer interfaces,distributed signal processing algorithms,eeg processing,body area networks,sensor networks,neural probes,neural dust
Entreprise Europe Ouest H2020 (EEN OUEST H2020)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: France,France
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 113750.0
EU funding (EUR): 113750.0
Participants: 4
Project status: CLOSED

Topic = Establishing services “Enhancing the innovation management capacity of SMEs” in the Enterprise Europe Network : Two distinct types of activities are envisaged, which shall be provided as comprehensive seven day service packages following very specific processes. These high added value services will be delivered by suitably qualified senior innovation experts. - WP1 : « Key Account Management » for the beneficiaries of the SME instrument » = the role of the EEN Key Account Manager will be to facilitate the implementation of the SME Instrument in Bretagne and Pays de la Loire, in Phase I and II. - WP2 : « Enhancing SME Innovation management capacity” for SMEs independly from a specific project" = the aim of this WP is to improve the innovation management capacity of SMEs with high development potential.

Keywords: sme instrument,innovation management
Flying Air Traffic Management for the benefit of environment and climate (FlyATM4E)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Germany,Spain,Germany,Netherlands
Call: Environment and Meteorology for ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-06-01
End date: 2022-11-30
Duration (months): 30.0
Total project cost (EUR): 999765.0
EU funding (EUR): 999765.0
Participants: 4
Project status: CLOSED

The main objective of the FlyATM4E project is to expand approved climate-assessment methods and optimization of aircraft trajectories in order to identify promising mitigation options suitable to solve the task of reducing overall climate impact of aircraft operations. The project will assess the feasibility of a concept for environmental assessment of ATM operations working towards environmental optimisation of air traffic operations. FlyATM4E will develop a concept to identify climate-optimised aircraft trajectories which enable a robust and eco-efficient reduction in aviation’s climate impact. Climate optimization will take into account CO2 and non-CO2 effects, such as contrails and contrail-cirrus, water vapour, NOx and particulate emissions. FlyATM4E will identify those weather situations and aircraft trajectories, which lead to a robust climate impact reduction despite uncertainties in atmospheric science that can be characterised by ensemble probabilistic forecasts. This will improve the assessment of aviation’s climate impact. It will further identify those situations where there is a large potential to reduce the climate impact with only little or even no cost changes (“Cherry-Picking”) and those situations where both, climate impact and costs can be reduced (“Win-Win”). As a synthesis, FlyATM4E will formulate recommendations how to implement these strategies in meteorological (MET) products and enable not only the understanding of ATM possibilities to reduce aviation’s climate impact, but moreover how to implement such eco-efficient routing. To this end, the FlyATM4E consortium builds on its expertise covering the whole spectrum from atmospheric science and climate research to aviation operations research and aircraft trajectory optimisation.

Keywords: eco efficient trajectories,aviation environmental impact,aviation climate impact,climate optimisation of aircraft trajectories,uncertainties and robust solutions
Domain Adaptation for Statistical Machine Translation (DASMT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-12-01
End date: 2021-11-30
Duration (months): 72.0
Total project cost (EUR): 1228625.0
EU funding (EUR): 1228625.0
Participants: 1
Project status: CLOSED

Rapid translation between European languages is a cornerstone of good governance in the EU, and of great academic and commercial interest. Statistical approaches to machine translation constitute the state-of-the-art. The basic knowledge source is a parallel corpus, texts and their translations. For domains where large parallel corpora are available, such as the proceedings of the European Parliament, a high level of translation quality is reached. However, in countless other domains where large parallel corpora are not available, such as medical literature or legal decisions, translation quality is unacceptably poor. Domain adaptation as a problem of statistical machine translation (SMT) is a relatively new research area, and there are no standard solutions. The literature contains inconsistent results and heuristics are widely used. We will solve the problem of domain adaptation for SMT on a larger scale than has been previously attempted, and base our results on standardized corpora and open source translation systems. We will solve two basic problems. The first problem is determining how to benefit from large out-of-domain parallel corpora in domain-specific translation systems. This is an unsolved problem. The second problem is mining and appropriately weighting knowledge available from in-domain texts which are not parallel. While there is initial promising work on mining, weighting is not well studied, an omission which we will correct. We will scale mining by first using Wikipedia, and then mining from the entire web. Our work will lead to a break-through in translation quality for the vast number of domains with less parallel text available, and have a direct impact on SMEs providing translation services. The academic impact of our work will be large because solutions to the challenge of domain adaptation apply to all natural language processing systems and in numerous other areas of artificial intelligence research based on machine learning approaches.

Keywords: machine translation,domain adaptation,statistical machine translation,natural language processing
Low-cost Reliable Indoor Positioning in Smart Factories (ORIENTATE)

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: Information Science and Engineering
Countries involved: Portugal
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 159815.04
EU funding (EUR): 159815.04
Participants: 1
Project status: SIGNED

We are clearly on the verge of Industry 4.0. The European Commission is investing on European Industry digitalisation not only to improve competitiveness but also to reach climate-neutrality. Indoor Positioning (IP) will play a key role in Industry 4.0 by, for instance, supporting unmanned vehicles navigation or tracking goods within the value chain. Despite there are already technologies coping with the technical requirements for IP in industrial environments, they present drawbacks that might prevent its usage. Moreover, a direct comparison of the current IP technologies is not possible due to the diversity of scenarios used in empirical evaluation. This project aims to provide a significant contribution to Industrial IP by: i) proposing a new scalable high-accurate solution; ii) dynamically integrating multiple IP technologies; iii) creating an open evaluation framework. From the methodological point of view, a novel solution -based on Visible-Light Communications principles- will be proposed. Moreover, data provided by positioning modules will be processed with neural networks and local outlier factor to detect anomalous behaviour. Trusted positioning information will be coded as hyperspectral images to allow dynamic sensor fusion through Deep Neural Networks. Finally, the Experienced Researcher, with the support of 3 industrial partners and 12 international researchers, will agree an evaluation framework for Industrial IP. The project outcomes will contribute to the IP community with significant advances to the state-of-the-art solutions and, specially, with a new open evaluation framework and generated datasets. The Experienced Researcher will emerge from the project with acquired multidisciplinary competences necessary to conduct high-impact research projects and deliver high-level consultancy services. Thus, it will grant the ER the capacity of achieving maturity and independence on Industrial IP, a research area with great growth potential.

Keywords: indoor positioning,autonomous robotic navigation,sensor fusion,accurate and dependable positioning,reproducible research,standardisation of evaluation procedures,technology transfer,patents
Consultation Forum for Sustainable Energy in the Defence and Security Sector (CF SEDSS) Phase II (CF SEDSS II)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Belgium
Call: Support to the initiative on sustainable energy in the defence and security sector (H2020-IBA-SC3-SUSTAINABLE-ENERGY-2017, 2017)
Start date: 2017-10-16
End date: 2019-08-15
Duration (months): 22.0
Total project cost (EUR): 750000.0
EU funding (EUR): 750000.0
Participants: 1
Project status: CLOSED

The objective of this proposal is to explore through the engagement of experts from the energy and defence sectors, the benefits that could be enabled in support of the European Commission’s implementation of the Energy Efficiency Directive (EED), Renewable Energy Directive (RED), and Energy Performance of Buildings Directive (EPBD). Moreover the objective is further enhanced by its orientation to support the EU efforts for sustainability in line with prevailing policy and regulatory framework. This proposal is highly relevant to the work programme given that the focus of the work will be on: i. Energy Management, ii. Energy Efficiency, iii. Renewable Energy Resources, and iv. the Protection of Critical Energy Infrastructure. The deliverables of CF SEDSS II will also have the potential to generate relevant projects that could be possibly funded by the EC’s related and applicable funding instruments according to the legislative and administrative rules in force at that time. EDA will build on its experience in capability development, research and innovation, project management and consensus building with specific regard to the two core themes of the Consultation Forum. The work will be conducted under the umbrella of EDA’s Energy and Environment programme, using, where possible, existing studies and networks to deliver quality products in the shortest possible time. The concrete multi-stakeholder work to be implemented, becomes increasingly relevant given that the scope of work will include identification, relation with and impact on wider EU policies, identifications of existing or missing relevant innovative funding instruments in the context of energy in the defence and security sector.

Keywords: energy efficiency,energy management,renewable energy resources,protection of critical energy infrastructure,defence,security,sustainability,financial instruments,innovation,consultation,forum
That Special First Time - Boosting Turnout and Satisfaction amongst First Time Voters (FIRSTTIME)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-01-01
End date: 2017-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

FIRSTTIME is dedicated to generating new unique instruments that Election Management Bodies (EMB) worldwide can use to organise a bespoke electoral experience for first time voters and increase their satisfaction and turnout. We will partner with EMBs to test them in real elections. FIRSTTIME follows on from the INMIVO grant which won accolades such as Best International Research Award from the Market Research Society, led to multiple books, articles in leading journals, and major policy impact as we advised IGOs and 4 different EMBs on electoral system reform, improving disabled & illiterate citizens' vote and civic education. Young people are largely disillusioned with politics and abstention often tempts them. Yet, INMIVO showed that participation in one of our first two elections determines turnout for our entire life. We found that young people are very excited at the idea of participating in their electoral 'first time'. We also demonstrated that the organisation of one's first election affects trust in democracy, perceived representation, and future turnout. However, our comprehensive preliminary study shows that major democracies do not specifically tailor the electoral experience of first time voters, relying instead on ineffective information campaigns. FIRSTTIME will test 6 protocols to optimise first time voters' experience before (election packs, mentoring system, etc), during (dedicated help at polling stations, etc) and after (certificate, celebration, etc) the vote, with an aim to maximise their satisfaction and turnout. We have already secured collaboration intention from EMBs so as to experiment these instruments in real elections in 4 democracies (2 new &2 established) . The results will be used to produce "first time voter" instrument guidelines disseminated to end-users, presented in conferences and major events (UN, European Parliament) and made available to EMBs to re-attract young voters to the polling booth when it matters most.

Keywords: elections,democracy,participation,young,turnout,experience,protocols,experiments,electoral commission