Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
PULMO: Population dynamics, trophic interactions, and human exploitation of a novel nutraceutical and pharmaceutical marine resource: the Mediterranean sea lung jellyfish, Rhizostoma pulmo . (PULMO)

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: Environment and Geosciences
Countries involved: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-04-01
End date: 2018-03-31
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

Marine jellyfish are recognized as subject to proliferations in many coastal areas. When they are exceedingly abundant, jellyfish cause substantial ecological impacts on marine biodiversity, interfere with economic and recreational human activities, and may be harmful to public health. For these reasons, jellyfish “blooms” are regarded as a multi-billion Euro problem for human activities in the sea and coastal zones. Understanding of jellyfish biology and ecology is therefore mandatory to prevent or mitigate critical ecological and economic drawbacks. Moreover, the large amount of jellyfish biomass could be considered as an untapped source of bioactive compounds including peptides, collagen and gelatin, oligosaccharides, enzymes, water-soluble minerals, and biopolymers making them a potentially valuable material for industrial uses in cosmetic, pharmaceutical and biomedical industry as well as food or feed. By identifying potential applicative uses of jellyfish biomaterials, we will provide the opportunity of showcasing jellyfish in a more positive light. Jellyfish biomasses also represent a poorly exploited source of carbon in marine food webs. The research proposal entitled "PULMO: "Population dynamics, trophic interactions, and human exploitation of a novel nutraceutical and pharmaceutical marine resource: the Mediterranean sea lung jellyfish, Rhizostoma pulmo" aims at a better understanding of mechanisms underlying recurrent, massive proliferations of one of the most common jellyfish in the Mediterranean Sea to boost its potential utilization. The project will provide [i] novel and unprecedented information about the biology, trophic ecology, biochemical and molecular composition of the sea lung Rhizostoma pulmo; [ii] provide quantitative assessment of exploitable jellyfish biomass at regional and subregional level; [iii] identifying the potential of jellyfish biomaterials as new sustainable resource for humans.

Keywords: jellyfish blooms,reproduction,population dynamics,proliferation mechanisms,environmental optima,climate change,biomass exploitation,bioactive natural compounds
A new approach to polymorphism through bar recursion (PolyBar)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2020-05-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Parametric polymorphism is an ubiquitous paradigm in programming. It permits writing generic algorithms that can be used on several datatypes, thus reducing the duplication of code and producing safer software. System F is a very simple polymorphic programming language suited to the theoretical study of polymorphism. From the point of view of mathematical logic, System F corresponds to the theory of second-order Peano arithmetic (PA2), which in turn is a sub-theory of first-order Peano arithmetic with the axiom of countable choice (PA-AC). On the other hand, PA-AC can be computationally interpreted using the non-polymorphic programming language System T extended with the bar recursion operator (System TBR). The PolyBar project will turn the logical translation of PA2 to PA-AC into a computational translation from System F to System TBR. This translation will improve the state-of-the-art by extending the use of well-known proof techniques to polymorphic programming languages and promote the use of these languages in environments where safety is important, like medical software or autonomous car systems. Computer programmers will be able to use the sophisticated features of polymorphism and still prove correctness properties on their programs. The PolyBar project will be carried out by the experienced researcher who worked during his PhD thesis on computational interpretations of PA-AC using System TBR, and recently gave the first connections with PA2 and System F. The experienced researcher will collaborate with a supervisor who has a strong background in type theories (including System F) and in correspondences between various mathematical theories and programming languages. Working in France, where System F was discovered and is still a subject of intense research by many experts in the field, the experienced researcher will make the beneficiary benefit from his experience in the UK, which has a strong community on recursion theory and denotational semantics.

Keywords: lambda calculus,realizability,bar recursion
An EU-Canada joint infrastructure for next-generation multi-Study Heart research (euCanSHare)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Spain,Austria,Italy,Belgium,Finland,Finland,France,Czechia,Netherlands,United Kingdom,Canada
Call: International flagship collaboration with Canada for human data storage, integration and sharing to enable personalised medicine approaches (H2020-SC1-2018-Single-Stage-RTD, 2018)
Start date: 2018-12-01
End date: 2023-05-31
Duration (months): 54.0
Total project cost (EUR): 6039980.0
EU funding (EUR): 5395292.5
Participants: 20
Project status: SIGNED

euCanSHare will develop the first centralised, secure and sustainable platform for enhanced cross-border data sharing and multi-cohort personalised medicine research in cardiology. At its heart, the platform will contain the most comprehensive cardiovascular data catalogue ever assembled, which will facilitate data discoverability and exploitation in full alignment with the FAIR principles. The project will implement the interoperability of currently fragmented yet mature IT solutions developed by the consortium members for generating a comprehensive multi-functionality platform. It will also integrate major cardiovascular data sources from Europe and Canada, including the renowned MORGAM, BiomarCaRE and CAHHM initiatives. euCanSHare’s legal framework will be built through detailed ethical and legal interoperability analysis, while investigating innovative solutions for promoting responsible Open Science based on the emerging blockchain technology. Initially populated with 35 European and Canadian cohorts (corresponding to about one million records), the platform will provide extensive functionalities, including for data deposition, data harmonisation and quality control, which will support the integration of new cohorts beyond the duration of the project, thus ensuring its scalability. Moreover, sustainability will be targeted by leveraging through our multi-disciplinary partners the most established data infrastructures, namely ELIXIR, EGA, BBMRI and euro-BioImaging in Europe, as well as Maelstrom from Canada. The unique features of the platform will be demonstrated and adjusted through several use cases, including for biomarker validation, knowledge discovery, cardiovascular risk assessment, public health research and industry-driven studies. Furthermore, intensive outreach campaigns and hands-on workshops will be organised to attract a range of stakeholders, data providers and end-users from the academic, public health and industrial sectors.

Keywords: cardiovascular data sharing,centralised platform,fair principles,cardiovascular data catalogue,cloud infrastructures,omics,imaging,legal interoperability,blockchain,open science
Signaling of plant intracellular immune receptors (SPLINTER)

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-2017, 2017)
Start date: 2018-03-05
End date: 2020-09-05
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Plant diseases are an economic, environmental and social threat affecting crop production worldwide. Effective plant disease resistance is a critical requirement to maintain world food security. Deployment of resistance (R) genes in crops is currently the most effective strategy for genetic control of disease. However, this type of resistance can be short-lived and is often affected by environmental stresses such as elevated temperature, which is highly concerning in the context of global warming. The proposed research aims to decipher the signaling function of intracellular plant immune receptors of the NOD-like receptor (NLR) family encoded by canonical and non-canonical (truncated) R genes. The opportunity at the heart of this project arises from the finding that N-terminal domains of NLRs act as potent signaling domains that are self-sufficient to activate immune responses independently of pathogen recognition and preliminary data indicate that this signaling activity is not compromised at elevated temperature (unlike full length NLRs). Hence, manipulating signaling downstream of pathogen recognition may lower the risk of resistance breakdown and provide a source of disease resistance adapted to global warming. Naturally occurring truncated NLRs lacking some of the canonical domains but containing N-terminal signaling domains are promising candidates to investigate this hypothesis. “SPLINTER” will focus on the signaling function of canonical and non-canonical NLRs in the major vegetable crop tomato, and the model plant Arabidopsis, mainly in response to the devastating phytopathogenic bacteria Ralstonia solanacearum and under temperature stress. This project will also establish a long-term research path for an early-mid career researcher returning to her home country.

Keywords: nod like receptors,plant immunity,signaling,tomato,arabidopsis
Interactive Machine Learning for Compositional Models of Natural Language (INTERACT)

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: Spain
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-03-01
End date: 2026-02-28
Duration (months): 72.0
Total project cost (EUR): 1499375.0
EU funding (EUR): 1499375.0
Participants: 1
Project status: SIGNED

INTERACT will develop new Interactive Learning Algorithms (ILA), motivated by applications in Natural Language Understanding (NLU). The main assumptions behind supervised approaches are unrealistic because most NLU applications have unique information needs, and large collections of annotated data are necessary to achieve good performance. INTERACT follows a collaborative machine learning paradigm that breaks the distinction between annotation and training. We focus on compositional latent-state models (CLSMs) because natural language is rich, complex and compositional. To reduce the amount of human feedback necessary for learning CLSMs we must eliminate annotation redundancy. We argue that to achieve this in the context of CLSMs we must combine: (1) An optimal human feedback strategy, with (2) inducing a latent structure of parts in the compositional domain. Annotation effort will be minimized because the method will only request representative feedback from each latent class. INTERACT marries representation learning (i.e. of parts) and active learning for CLSMs. Our approach goes beyond classical active learning where the ILA asks labels for samples chosen from a pool of unlabeled data. We empower the ILA with the ability to ask for labels for any complete or partial structure in the domain, i.e. the ILA will be able to generate samples. We work under the framework of spectral learning of weighted automata and grammars and use ideas from query learning. A key idea is reducing the problem of interactive learning of CLSMs to a form of interactive low-rank matrix completion. Our concrete goals are: (1) Develop ILAs for CLSMs based on spectral learning techniques; and (2) Investigate optimal strategies to leverage human feedback, taking into account what is optimal for the ILA and what is easy for the teacher. We will experiment with NLU tasks of increasing complexity, from sequence and tree classification to parsing problems where the outputs are trees.

Keywords: natural language understanding,active learning,query learning,spectral learning,deep learning,human in the loop learning
The Middle East Neolithic Transition: Integrated Community Approaches (MENTICA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 2499351.0
EU funding (EUR): 2499351.0
Participants: 1
Project status: SIGNED

Our world is marked by ‘disruption’, major re-orderings of society through changing circumstances, including abrupt climate change, impacting on social and economic life. What lessons can we learn from the prehistoric past about disruption, and human engagement with it? One of the first global disruptions faced by human societies was the Neolithic transition from mobile forager-hunter to settled farmer-herder in the Epi-Palaeolithic and Early Neolithic periods of the Middle East, 17,000-7000 BCE. Human communities worked through this disruption, including climate change, to enable complex societies to thrive and to form the basis for later cities, empires and civilisations. In this project, I will address key ‘Grand Challenges’ for archaeology including human responses to climate change, and societal transformation and resilience. I will lead an inter-disciplinary team in investigating the Early Neolithic transition in a greatly under-researched region, the eastern Fertile Crescent of western Iran and eastern Iraq, a core zone for early developments, including domestication of animals and crops such as goat and barley. From this zone, early farmers disseminated herding and cultivation practices across Iran into Central and South Asia and Transcaucasia. But as yet we know little about the early stages in the development of farming life-ways in the eastern Fertile Crescent, because this upland area of the Zagros mountains in Iran and Iraq has been challenging for research teams to work in. As the only scholar directing research in both western Iran and eastern Iraq, I am in a unique position to lead this high-risk, trans-border project, on a major ancient route-way (later the Silk Road) from the highlands of Iran to the plains of Mesopotamia. I will direct a programme of six integrated Work Packages examining climate, plants and animals, built environment, food-ways, death and burial, and craft, within a theoretical framework of community networks and identities.

Keywords: neolithic middle east,early agriculture,sedentism,community and identity
RAIS: Real-time Analytics for the Internet of Sports (RAIS)

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: Information Science and Engineering
Countries involved: Italy,Cyprus,Belgium,Greece,Sweden,Greece,Sweden,United States,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 3612494.88
EU funding (EUR): 3612494.88
Participants: 12
Project status: SIGNED

Over the past few years, we have been witnessing an increasing presence and usage of wearable sensing and quantified- self devices. The rise of embedded and wearable computing is expected to bring the next revolution of the Internet of Sports, enhancing fitness, performance health, productivity and safety as well as creating new jobs and opening new markets. Nevertheless, at a European level, there is a recognized shortage of highly skilled researchers, scientists and engineers with transferable skills and entrepreneurial experience, trained in building IT platforms and service infrastructures capable of hosting innovative collective sensing services and applications. The RAIS consortium comprising 6 beneficiaries and 7 fully committed partner organizations, aspires to establish the core for a fertile multidisciplinary research and innovation community with strong entrepreneurial culture that will advance:1) wearable sport-sensing and quantified-self devices and accompanying middleware;2) technologies of Big Data mining and analytics that are needed to capture a broad range of users’ sports- and wellness-related information.The main objective of RAIS is to provide world class training for a next generation of researchers, computer scientists, and data engineers, emphasizing a strong combination of advanced understanding in both theoretical and experimental approaches, methodologies and tools that are required to develop decentralized, scalable, and secure collective sensing infrastructures and platforms. RAIS training network will fund 14 ESRs, 3 workshops, 1 Hackathlon event, 1 entrepreneurship event, 3 summer schools and a final Conference. To meet this goal, RAIS will focus on developing new technologies on Big Data Analytics on the Edge, Data Stream Processing, Distributed and Decentralized Machine Learning, Blockchain as well as Security/Privacy. These topics include important and timely research challenges with an immediate exploitation potential.

Keywords: data science,internet of sports,big data analytics,distributed systems,machine,learning,stream processing,security,privacy and trust,sensor networks,blockchain
Innovating goverNment and ciTizen co-dEliveRy for the digitaL sINgle marKet (INTERLINK)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Spain,Italy,Spain,Belgium,Finland,Latvia,Netherlands
Call: New forms of delivering public goods and inclusive public services (H2020-SC6-GOVERNANCE-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 3425312.5
EU funding (EUR): 3425312.0
Participants: 11
Project status: SIGNED

INTERLINK aims to overcome the barriers preventing administrations to reuse and share services with private partners (including citizens) by developing a novel collaborative governance model that merges the enthusiasm and flexibility of grassroot initiatives with the legitimacy and accountability granted by top-down e-government frameworks. We believe that a solution incorporating the strengths of these two approaches will be able to overcome their individual limitations, namely lack of involvement of private actors, transparency and trust for “top-down” and lack of sustainability, accountability, and legitimacy for “bottom-up” initiatives. To enable this, INTERLINK will provide a set of digital building blocks, called “Interlinkers”, that implement the defined governance model and standardize the basic functionalities needed to enable private actors to co-operate in the delivery of a service (organization, communication, scheduling, monitoring, etc.). In this way, the new shared service will maintain the effectiveness of digital solutions adopted in grassroots initiatives to support self-organization and make collective decisions, and at the same time fulfill the technical and legal requirements necessary for adoption by Public Administrations (PAs). The INTERLINK multidisciplinary consortium will deliver the new governance model and Interlinkers within a technological framework and operational platform based on an open software system leveraging on mobile communications, facilitating the co-production of services between PAs and private stakeholders. The solution will be customised, deployed and evaluated on three use-cases within the partner PAs: the Italian Ministry of Economy and Finance, the Latvian Ministry of Regional Development, and the City of Zaragoza. Lessons learned in the three use-cases will be generalized to deliver a re-usable solution across Europe.

Keywords: new public governance,digital services,citizens participation,co production
PERISTALTIC MULTISTAGE MICRO-MECHANICAL PUMP FOR NEXT GENERATION DIABETES MANAGEMENT (PRISMA)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: Italy,Denmark
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-4, 2020)
Start date: 2021-04-01
End date: 2022-09-30
Duration (months): 18.0
Total project cost (EUR): 142857.14
EU funding (EUR): 100000.0
Participants: 2
Project status: CLOSED

More than 30 million people are living with diabetes in the EU, with a prevalence expected to grow to over 10% of the adult population by the year 2030. Despite modern treatments, the life expectancy of patients with type 1 diabetes remains reduced as compared to healthy people due to lack of efficient therapies. An “artificial pancreas” is the ultimate solution for such therapy: a device performing a continuous glucose measurement and pumping precise doses of insulin and other hormones needed for the treatment. The closed-loop artificial pancreases promises an agile solution where the diabetes patients may effectively feel relieved from their disease as the blood glucose level is automatically controlled using a mixture of multiple hormones simultaneously. Such an innovative technology alleviates the burden of carbohydrate counting and automatically ensuring the optimal glucose level at all times. However, a small, lightweight device which is able to administrate multiple hormones is still lacking. This proposal seeks to develop a novel micro-peristaltic pump on silicon, to be integrated with a transdermal smart patch loaded with the three hormones delivered by silicon microneedles. The PRISMA innovation is possible thanks to the achievements of the FET-OPEN project “BioWings”, where the concept of thin-film micropump using actuating materials has been prototyped.

Keywords: three hormones therapy,diabetes