Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Unity (Unity)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Research and Innovation actions
Countries involved: Germany,Estonia,Spain,Bulgaria,North Macedonia,Finland,Croatia,Belgium,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Ethical/Societal Dimension Topic 2: Enhancing cooperation between law enforcement agencies and citizens - Community policing (H2020-FCT-2014, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 4538120.0
EU funding (EUR): 4330900.0
Participants: 16
Project status: CLOSED

The Unity vision is to strengthen the connection between the police and the diverse communities they serve to maximise the safety and security of all citizens. The end-user focus of Unity shall identify best practices in Community Policing (CP) through primary and secondary research to enhance cooperation between Law Enforcement Agencies (LEAs) and citizens through the development and live pilot demonstrations of technological tools in six EU member states that facilitate, strengthen and accelerate community and LEAs communications. These tools shall be amplified and supported by the design and delivery of CP training and awareness raising activities to LEAs, citizens and community partners, including online virtual communities. Unity will provide LEAs with a new CP model and shared framework of governance and enabling tools and technology to support closer cooperation for greater, more effective and efficient and more inclusive CP. The citizen-centred approach of Unity support the combined protection, safety, security and well-being of communities, but it will also support a more collective, shared ownership of large scale, collective risk. Coordinated by pioneers and practitioners in CP, Unity seeks new ways of working in which the police will serve as a catalyst for change within communities, helping the latter to become an integral part of the solution, and thereby sharing the ownership and delivery of a sustainable CP model which simultaneously embraces the benefits of technology while meeting diverse community needs. This new and sustainable citizen-centred CP model will have community trust and confidence at its heart, with the ability for two-way flows of information and communication to allow for greater understanding of the problems and issues faced by communities. By working with citizens and community stakeholders to arrive at a full understanding of their concerns, targeted interventions and solutions can be agreed to keep local communities safe
Beyond Shannon: Algorithms for optimal information processing (AlgoQIP)

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: France,France
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1492733.0
EU funding (EUR): 1492733.0
Participants: 2
Project status: SIGNED

In the road towards quantum technologies capable of exploiting the revolutionary potential of quantum theory for information technology, a major bottleneck is the large overhead needed to correct errors caused by unwanted noise. Despite important research activity and great progress in designing better error correcting codes and fault-tolerant schemes, the fundamental limits of communication/computation over a quantum noisy medium are far from being understood. In fact, no satisfactory quantum analogue of Shannon’s celebrated noisy coding theorem is known. The objective of this project is to leverage tools from mathematical optimization in order to build an algorithmic theory of optimal information processing that would go beyond the statistical approach pioneered by Shannon. Our goal will be to establish efficient algorithms that determine optimal methods for achieving a given task, rather than only characterizing the best achievable rates in the asymptotic limit in terms of entropic expressions. This approach will address three limitations — that are particularly severe in the quantum context — faced by the statistical approach: the non-additivity of entropic expressions, the asymptotic nature of the theory and the independence assumption. Our aim is to develop efficient algorithms that take as input a description of a noise model and output a near-optimal method for reliable communication under this model. For example, our algorithms will answer: how many logical qubits can be reliably stored using 100 physical qubits that undergo depolarizing noise with parameter 5%? We will also develop generic and efficient decoding algorithms for quantum error correcting codes. These algorithms will have direct applications to the development of quantum technologies. Moreover, we will establish methods to compute the relevant uncertainty of large structured systems and apply them to obtain tight and non-asymptotic security bounds for (quantum) cryptographic protocols.

Keywords: information theory,optimization
Extreme-Scale Data Management (DAMA)

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: 2018-11-01
End date: 2020-10-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

This project is concerned with the I/O challenges that arise from the convergence between high performance computing (HPC) and big data, two very different paradigms. This convergence is an important topic for the scientific community today, and extreme-scale machines are expected to observe a heterogeneous workload composed of traditional scientific applications and data analytics tasks. The goal of this action is to provide data management for extreme-scale computing environments for the convergence scenario, to benefit both types of workload. The methodology will be an experimental one, and the instrument will be the development of an I/O middleware, the data manager. The data manager will combine storage capacity available in the supercomputer, including NVRAM devices, transparently. Its activities will be optimized by minimizing data movement and applying coordination to avoid performance interference due to concurrency. The most important characteristic of this project among the state-of-the-art is the intelligence to learn and predict applications needs, so storage capacity and data can be available at a close location before the user needs them. The action will benefit from the researcher's experience on parallel I/O for HPC, allied to the host laboratory expertise in in-situ processing, big data, and machine learning. Through this two-year fellowship, the researcher will have the opportunity to expand her knowledge while conducting highly innovative research, what will improve her perspectives for future employment.

Keywords: high performance computing,parallel i,big data,data management
Bichromatic Structures for Robust propagation of Light (BISTRO-LIGHT)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

The investigation of topological effects in photonic systems is a thriving field of research in the nanophotonics community. Suitably designed nanostructures allow the formation of novel states for light which are more robust against disorder and less sensitive to back-scattering, spurring academic fascination and helping to improve photonic circuitry technology. Recent advances have greatly expanded the variety of systems displaying topological effects: for instance it has recently been shown that the Aubry-André model, a one-dimensional tight-binding model of particles with a periodically-modulated on-site energy, inherits the nontrivial topological properties of a higher-dimensional topological insulator. In this Action, I propose to create a photonic realization of the Aubry-André model for near-infrared light with photonic-crystal structures and demonstrate, both theoretically and experimentally, the emergence of nontrivial topological properties. To reach this goal, I will theoretically develop the concept of “bichromatic” photonic crystals, i.e., dielectric structures with a specific spatial arrangement of the refractive index characterized by the superposition of two incommensurate periodicities. Such structures have the potential to combine topologically-protected propagation of light with the strong enhancement of light-matter interaction characteristic of nanostructured fields. Topological effects will be revealed by the formation of boundary states at the edge of the structure, which will be experimentally visualized with near-field scanning microscope measurements. The spectrum, the topological invariants, and the effect of nonlinearities will be thoroughly investigated. This Action will give me the opportunity of directly supervising an exciting research project from the conception up to the experimental phase, improving my professional capabilities and helping me to develop stronger ties with experiments.

Keywords: nanophotonics,photonic crystals,quasicrystals,topological insulators,photonic bandgap,near field scanning optical microscopy,snom,nsom,optical nanostructures,optics
NEARshore geological CONTROL on coastal morphodynamics: monitoring and modelling in high-resolution (NEARCONTROL)

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: Environment and Geosciences
Countries involved: South Africa,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): 203200.2
EU funding (EUR): 203200.2
Participants: 2
Project status: CLOSED

A major shortcoming of contemporary coastal research is the poor quantification of geological control in nearshore hydrodynamic and morphosedimentary processes along natural and developed coastal areas. This is particularly relevant given the global dominance of geologically-constrained coastlines, which face increasing risks driven by extreme storm events and growing societal pressures on the coast. This project aims to advance the knowledge of beach and nearshore morphodynamics within complex geomorphological settings, dominated by multi-dimensional geological control. The fundamental objective is to quantify the role and impact of nearshore geological control under energetic conditions. This will be accomplished by developing a ground-breaking approach, based on state-of-the-art surveying and monitoring methods to acquire unprecedented geophysical, morphological and hydrodynamic information of the beach and nearshore zones in geomorphological complex settings. New-generation process-based modelling will be implemented to explore wave-driven currents and patterns of sediment transport under realistic settings and conditions. Linking the sedimentary and geological framework of the beach and nearshore with field measurements and numerical modelling constitute a novel approach that will lead to fundamental advances in coastal geomorphology, further improving the ability to predict storm-induced erosion in geologically-controlled settings. To bring together these embedded scales of analysis and innovative approaches, this project is based on collaboration with international-leading experts in coastal geomorphology, marine geology and geophysics and coastal modelling. Expertise and skills developed by the fellow will contribute to an internationally-leading academic and research profile, promoting European research with global collaborations.

Keywords: geomorphology,marine geology,nearshore,beach,morphodynamics,marine geophysics,hydrodynamics,numerical modelling
Efferent modulation of auditory sensitivity in mosquitoes: From auditory transduction to swarming behaviour (NEURO-SWARM)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2019-05-01
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Hearing in mosquitoes is crucial for mating partner recognition. Within mating swarms, males hear the wing beat of females and chase them to copulate. Despite the importance of this behaviour, very little is known about the molecular mechanisms involved. I and my co-workers have recently discovered an auditory efferent system innervating the mosquito hearing organ, the Johnston's Organ (JO) that releases the biogenic amines octopamine and serotonin and modulates the auditory function. However, we still do not know how this efferent system modulates hearing in the context of swarming. Given the intimate connection between hearing and swarming in mosquitoes, and considering that biogenic amines have been described in other insects to induce swarming, I hypothesize that biogenic amines induce mosquitoes to aggregate into swarms and upregulate their auditory sensitivity to increase male mosquito attraction to females. My objectives are to use a multidisciplinary approach, including molecular biology, physiological and behavioural methods, to study if biogenic amines increase the auditory sensitivity during swarming and to assess the potential of disrupting biogenic amine signalling to impair mosquito hearing and swarming. To this end, I will first study temporal variations of biogenic amine signalling pathways in the mosquito JO during the swarming period. I will then generate mosquito mutants to impair biogenic amine signalling and subsequently use these mutants to assess their auditory function and swarming behaviour phenotypes aiming at defining a direct involvement of biogenic amines in mosquito hearing and mating. We believe that our work will lead to developing novel mosquito control tools. Firstly, improving our knowledge on mosquito hearing can lead to develop novel acoustic traps. Secondly, the characterization of biogenic amine receptors could directly identify new insecticide targets. Thirdly, altering swarming behaviour can disrupt mosquito mating.

Keywords: vector biology,mosquito,swarming behaviour,hearing,biogenic amines,serotonin,octopamine,mechanotransduction,vector control,efferent modulation,mating,malaria,anopheles gambiae,insecticide
Heat Roadmap Europe (HRE): Building the knowledge, skills, and capacity required to enable new policies and encourage new investments in the heating and cooling sector (HRE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Market uptake of energy innovation
Action type: Coordination and support actions
Countries involved: Germany,Germany,Germany,Belgium,Croatia,Sweden,Switzerland,France,Netherlands,Denmark
Call: Removing market barriers to the uptake of efficient heating and cooling solutions (H2020-EE-2015-3-MarketUptake, 2015)
Start date: 2016-03-01
End date: 2019-02-28
Duration (months): 36.0
Total project cost (EUR): 2113482.5
EU funding (EUR): 1946042.5
Participants: 16
Project status: CLOSED

In Europe, there is a clear long-term objective to decarbonize the energy system, but it is very unclear how this will be achieved in the heating and cooling sector. As a result, there is currently a lot of uncertainty among policymakers and investors in the heating and cooling sector, primarily due to a lack of knowledge about the long-term changes that will occur in the coming decades. This HRE proposal will enable new policies as well as prepare the ground for new investments by creating more certainty in relation to the changes that are required. The work in this proposal will build on three previous HRE studies, all of which have been successfully completed on time and all of which have already influenced high-level policymakers at EU and national level in Europe. The work from these previous studies will be significantly improved in this project. The new knowledge in this project will: - Improve at least 15 new policies at local, national, or EU level, - Specify how up to 3,000,000 GWh/year of fossil fuels can be saved in Europe, and - Quantify how the €3 trillion of investment required to implement these savings will reduce the net cost of heating and cooling in Europe. Furthermore, one of the most significant improvements compared to previous studies is the dissemination and communication strategy that has been developed as part of this proposal. These activities represent the largest work package in this proposal, which is necessary to ensure that policymakers, investors, and researchers at local, national, and EU level are all aware of the new data, tools, methodologies, and results from this project. The dissemination activities are expected to directly build the skills and capacity of at least 350 people in specific target groups identified by the consortium, while the communication activities will inform at least 50,000 people about the project activities and results.

Keywords: district heating and cooling,national heating and cooling strategies
FASTAP Transformer for Wind Turbines (FASTAP)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Spain,Germany,Germany,Germany,Spain,Türkiye,Denmark
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2020)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 3941214.76
EU funding (EUR): 2996935.0
Participants: 7
Project status: SIGNED

The energy market in general, and the wind energy market in particular, are experiencing constant decrease of prices, together with harsher and harsher grid conditions. In order to comply with worldwide environmental policies, revolutionary solutions, such as FASTAP, need to reach the market as soon as possible. The FASTAP project aims at scaling from TRL6 to TRL8 the wind turbine application of a very fast on-load tap changer transformer technology. This solution uses thyristors specially connected to multi-tap transformer windings to provide On-Load Tap Changer capability to a standard wind turbine (WTG) transformer. This technology allows to choose the optimum voltage at which the WTG operates in, not only in steady-state conditions but also for dynamic and transient events. This technology will increase WTGs' electric capabilities in weak grid conditions, enlarge WTGs' Low and High Voltage Ride Through capabilities and allow reducing electrical components oversizing. As an overall, the FASTAP will be able to reduce wind's Leverage Cost of Energy up to 5.5% and will be able to connect to worldwide grids an additional 71.64GW wind capacity. The consortium partners have been working together for the last three years to bring the technology up to TRL6. They cover the whole value chain, which guarantees that the product will reach the market 33 months after the project kicks-off: - INF, the market leader in bipolar high-performance semiconductors, brings the technical know-how and commercial capacity for thyristors-based semiconductors. -SGB, number one medium-sized manufacturer of transformers in Europe, brings the technical know-how and commercial capacity for transformers. -SG, WTG market leader, will be the integrator and validator of the FASTAP product into <5MW and >5MW platforms. -MU, the most industrially-oriented University in Spain, was the first originator of the FASTAP concept and will bring FASTAP transformer for Wind Turbines.

Keywords: wind energy,transformer,power electronics,on load tap changer,thyristors
Engineering of new-generation protein secretion systems (ProteinFactory)

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: Germany,Germany,Sweden,Belgium,Sweden,France,Netherlands,Netherlands,United Kingdom,Denmark,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 3685072.68
EU funding (EUR): 3685072.6799999997
Participants: 11
Project status: CLOSED

The market for recombinant proteins, including biopharmaceuticals, industrial enzymes and membrane proteins, is estimated to be about 78 billion Euro and rising. A high proportion of the target proteins are produced in bacteria, where secretion out of the cytoplasm is a favoured strategy. However, current production platforms have severe limitations and cannot handle many secreted enzymes and membrane proteins. There is an overwhelming need for new production systems that can deliver these products in greater yields, with higher quality and at lower costs. The 'ProteinFactory' ETN will meet these challenges through the provision of a suite of super-secreting strains with unique capabilities. These strains will be engineered to bypass major production bottlenecks such as secretion stress, and will be capable of secreting an unprecedented range of target molecules. Equally important will be the training of a new generation of researchers, versed in Systems and Synthetic Biology approaches. The ProteinFactory project will involve extensive collaboration between 6 academic Institutes, who provide world-leading expertise in synthetic biology and protein secretion, and 5 non-academic partners who include some of the world's premier biotechnology companies. Training will be inter-sectoral from the outset, with every ESR undertaking extensive secondments within the non-academic partners in order to encourage an entrepreneurial mind-set. The project is furthermore explicitly multi-disciplinary in scope, with two of the five research work packages dominated by theoretical approaches. Based on a responsible innovation approach and with a clear focus on inter-sectoral collaboration, ProteinFactory will deliver a cohort of superbly-trained scientists, put the industrial and SME partners at the forefront of global competition and reinforce European innovation potentials with growth and job creation.

Keywords: intersectoral,protein secretion,protein production,quality control,production stress,cell factory,biotechnology,bacillus subtilis,escherichia coli,proteomics,bioinformatics,modeling