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

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: France
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-01-01
End date: 2019-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Fisheries are operating worldwide over nation’s Economic Exclusive Zones (EEZ) as well as over international waters. Information on the location of fishing is rarely known, especially in international waters, yet it is critical since in many oceanic sectors non declared and illegal fisheries are affecting negatively ecosystems through over exploitation and by catch of non-target species Knowledge about the distribution of fishing boats is fundamental for the regulation of fishing activities as well for the conservation of the oceans. I propose a New Concept of ocean surveillance based on new bio-logging technologies fitted on large foraging marine predators. The OCEAN SENTINEL Proof of this Concepts will (1) develop a logger called CENTURION that couple a XGPS platform detecting and locating radar emissions, with a satellite transmission system (Argos) that would send instantaneously the location of vessels to a receiving site, (2) deploy the logger on wide ranging animals used as platforms and (3) make available immediately the information obtained from the CENTURION logger through a website. The OCEAN SENTINEL programme will generate important social benefits by providing information to a wide range of beneficiaries, from governments or regional authorities managing EEZ and natural resources, regional or national fishing authorities, researchers and non-governmental organisation in conservation. The concept will be tested in the Southern Indian Ocean from Crozet and Kerguelen Islands where valuable and extensive fisheries operate in EEZs and over oceanic waters. This concept has the potential to be used in other areas where information on fisheries location is needed. The project will also lead to further discoveries on the relationship between seabirds and fisheries as well on the extent of fisheries in zones where surveillance by conventional methods is not possible.

Keywords: ocean surveillance,fisheries location,bio logging,seabirds
DAta-dRivEn, low-rank, jeT-nOise MODELling (DARETOMODEL)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: France,United Kingdom
Call: Modelling of installed jet noise for UHBR engine integration with forward flight effects (H2020-CS2-CFP06-2017-01, 2017)
Start date: 2018-10-01
End date: 2022-09-30
Duration (months): 48.0
Total project cost (EUR): 499213.75
EU funding (EUR): 499213.75
Participants: 2
Project status: CLOSED

This proposal addresses the aeronautical challenge associated with jet-noise modelling. The ultimate goal is to develop, and deliver to industry, a low-cost, semi-empirical modelling tool capable of predicting the noise radiated by a propulsive jet, in an installed configuration in take-off flight conditions. The work is based on the mining of existing high-quality experimental and numerical databases (some of which were produced in previous EU projects, ORINOCO and JERONIMO), the generation of new experimental and numerical databases, and the use of these to build a modelling tool that requires, as input, a small number of parameters typically available from standard industry tools: where the turbulent flow is concerned, Reynolds-Average-Navier-Stokes solvers; and, for sound generation, propagation and scattering from solid surfaces, Boundary-Element-Method based acoustic solvers. The work concentrates on canonical jet and jet-wing systems in static and flight conditions, in order that the key flow physics associated with the turbulent jet, and the interaction of this with the wing and flight stream, be clearly identified, understood and incorporated into a simplified model. Special attention is paid to ensuring that the models be robust and capable of correctly following changes in jet velocity, flight-stream velocity and jet-wing separation. Machine learning and adjoint-based sensitivity analysis will be used to achieve this robustness. A specific workpackage is dedicated to training industry-partner engineers to use the modelling tool. This bridge-to-industry initiative, to be elaborated at the industry partner’s acoustic research department, situates the project between TRLs 4 and 5. The project will contribute to strengthening the competitiveness of the European industry by equipping the industry partner with a fast-return jet-noise modelling tool that will enhance their capacity to conceive low-noise aircraft architectures.

Keywords: jet noise,wavepackets,semi empirical modelling
A CIrcular Multilayer Plastic Approach for value retention of end-of-life multilayer films (CIMPA)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Belgium,Finland,France,France,France,France,France,Netherlands,Netherlands
Call: Improving the sorting, separation and recycling of composite and multi-layer materials (H2020-SC5-2020-2, 2020)
Start date: 2021-06-01
End date: 2024-05-31
Duration (months): 36.0
Total project cost (EUR): 4984396.25
EU funding (EUR): 4984396.25
Participants: 13
Project status: SIGNED

2.6Mt of multilayers films waste are incinerated or landfilled every year due to a lack of economically and environmentally sustainable recycling solutions. Consequently, more than 3B€ multilayer plastic films value is lost to the economy every year. CIMPA (A CIrcular Multilayer Plastic Approach for value retention of end-of-life multilayer films) will develop a recycling value chain for post-industrial and post-consumer multilayer films (from food and agricultural applications) to retain 12 up to 72% of their value yield based on a synergetic approach combining (i) innovative compositional sorting (combining NIR- and digital watermarking sorting), (ii) mechanical and physical (dissolution) recycling, (iii) decontamination process and (iv) upgrading (advanced scCO2-based decontamination, properties tuning) solutions. Up to 2.34Mt/y of recycled materials will be saved and reintroduced in production to substitute virgin materials. A key objective of the overall process will be to produce recycled materials compliant with (i) agriculture standards and (ii) food contact applications. A challenge test will be submitted to the EFSA to validate the process decontamination performances down to concentrations not causing risks to human health. Environmental, health, safety and cost benefit assessment of the solutions will be conducted based on LCA and LCC analyses. A regulation survey and a SSH methodology ensuring systemic engagement and acceptance of all actors along the value chain will be implemented for a widespread integration of the solutions in the industry and civil society. CIMPA will retain in the economy 0,3B€ to 2,2M€/y of multilayer plastic films value, and reduce CO2 emissions by 2.1Mt/y, equivalent to 0.15% of whole EU CO2 emissions. CIMPA gathers 4 experienced RTOs , 2 cutting edge technology-provider SMEs , 1 waste management company, 3 producers of multilayers, 1 institute for consumer attitude/acceptance studies, 1 association representing the plastic recycling industry and 1 consultant company.

Keywords: nir sorting,digital watermarking,mechanical recycling,physical recycling,scco2 decontamination,food contact regulations,challenge test,efsa,plastics value yield
I have seen that before: Pattern completion in the human visual system and its role for memory (VisPrepMem)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

The visual system is an anticipatory system. For example, in order to hit a tennis ball during a match, parts of the brain calculate the future trajectory of the tennis ball based on its past travel through the air to enable you to hit the ball. A recent study by Ekman et al. (2017) demonstrated how the visual system anticipates a ball’s trajectory in such a scenario. In their functional magnetic resonance imaging (fMRI) study, they found temporally compressed pattern completion in primary visual cortex for a previously learned rapid stimulus sequence (simulating a moving dot) following the presentation of only the very first stimulus. This visual preplay activity reflects an anticipation of the future trajectory of a moving object based on previous experience, thereby intersecting vision and memory. Interestingly, the mechanism of pattern completion plays a big role in the reinstatement of memory traces in classical memory experiments. Whether the visual preplay effect is similar to the pattern completion in memory reinstatement, and whether the memory replay effect might be guided by visual preplay is currently unknown. The proposed project will provide a better understanding of the nature of the visual preplay effect and its relation to memory. It will investigate the neural oscillations induced by the visual preplay effect together with its temporal unfolding, providing insight into information processing and communication between brain areas. It will also examine a possible link between this visual effect and memory by embedding the preplay experiment into a memory paradigm. The combination of magnetoencephalography (MEG) and fMRI methods together with state-of-the-art signal processing and machine learning will enable a comprehensive investigation of this effect at the boundary between vision and memory, thereby advancing our understanding of both the visual and memory system and, in particular, their interplay.

Keywords: cognitive neuroscience,visual neuroscience,memory,magnetoencephalography meg,functional magnetic resonance imaging fmri,neural oscillations,predictive coding,visual preplay effect
Genomic Selection for Pasture Digestibility (GenSPaD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-05-18
End date: 2022-06-01
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 1
Project status: CLOSED

Breeding for improved perennial ryegrass (PRG) cultivars to support pastoral based production systems for milk and meat is a critically important goal. However, genetic gains for traits such as forage yield and quality have very much lagged behind genetic gain for agronomic traits in cereals. One reason for this is the long breeding cycle in a typical PRG breeding programme, where a single cycle of selection can take 5-6 years. Genomic selection (GS) is a form of marker assisted selection that simultaneously estimates all loci, haplotype, or marker effects across the entire genome to calculate Genomic Estimated Breeding Values (GEBVs). The main advantage that GS could offer PRG breeding is to enable multiple cycles of selection to be achieved in the same time it takes to do a single cycle of conventional selection, thereby increasing the rate of genetic gain. Improving digestibility of the forage leads to an increase in animal performance, and is therefore an important target trait for forage breeders. Furthermore, it has already been shown that increases in organic matter digestibility can reduce methane emissions. Reducing methane emissions is a key target of the EUs climate and energy policy. In this action I will focus on developing and validating GS equations for feed parameters that are being used as model inputs into the Cornell Net Carbohydrate and Protein System (CNCPS). This CNCPS is currently being adapted to predict nutritional value to the grazing animal in pasture based production systems, and it is envisaged that it will be able to identify feed parameters limiting milk-solid production and thereby direct future forage breeding efforts. The work of this action will lead to a novel and innovative forage breeding programme that can select for multiple feed parameters to develop the ideal forage cultivars for pasture production systems.

Keywords: forage grass,grasslands,perennial ryegrass
Genomic binding of transcription factors as a function of DNA affinity and chromatin. (TF-bind Determinants)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2019-03-31
Duration (months): 24.0
Total project cost (EUR): 187419.6
EU funding (EUR): 187419.6
Participants: 1
Project status: CLOSED

Transcription factors (TFs) read cis-regulatory information encoded in the genome and by doing so, they establish gene expression patterns. However, TFs must compete with structural chromatin proteins such as nucleosomes for access to DNA, and this may partially explain why only a fraction of their sequence motifs in the genome are actually bound. It is unclear what features discriminate used from unused sites with similar motifs, in vivo, though it is likely that sensitivity of TFs to chromatin is critical for normal gene expression. For example, some TFs have reduced chromatin sensitivity, termed pioneer-factors, and are able to drive differentiation; even these bind a minority of cognate motifs in the genome. Such factors may nevertheless modify chromatin and expose motifs for TFs with higher sensitivity. Alternatively, chromatin proteins and modifications may be intrinsically directed by unidentified DNA sequence features. Though little is known about determines of TF-chromatin sensitivity, it is likely a function of DNA affinity and the ability to recruit chromatin-modifying activity. The complexity of chromatin/TF interactions necessitates a reductionist approach. The objectives of this project is to gain mechanistic understanding of chromatin-sensitivity and will use established methods to measure binding of ectopic TFs as a function TF properties and chromatin components. I will express exogenous TFs in mammalian cells and compare in vivo binding to in vitro DNA affinity and analyse their chromatin sensitivity (WP1). This setup enables me to modify and profile chromatin before and after expression, which will test the contribution these factors have on TF binding (WP2). Finally, I will test if manipulating the chromatin-modifying activity of an ectopic TF affects binding (WP3). These results will provide mechanistic insight into TF sensitivity to chromatin and should reveal general principles of binding hierarchies and the logic of cis-regulatory regions.

Keywords: dna affinity transcription factor chromatin sensitivity chromatin remodeling nucleosome
Motivation–cognition interaction in healthy ageing and Parkinson’s disease (Motivageing)

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: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-02-01
End date: 2021-01-31
Duration (months): 36.0
Total project cost (EUR): 251857.8
EU funding (EUR): 251857.8
Participants: 2
Project status: CLOSED

Europe is greying. This has enormous economic and social costs for the entire society, through greater numbers of healthy older adults with cognitive decline, and of people with neurodegenerative disorders that can lead to dementia, such as Parkinson’s disease (PD). MOTIVAGEING aims to address this issue by proposing a new approach for the enhancement of working memory (WM) capacity, in order to improve cognitive function, quality of life and wellbeing of healthy older adults and PD patients. In fact, there is no current effective treatment for age-related WM decline or WM deficits and related behavioural and affective problems in PD patients. Based on a promising new theory of cognitive neuroscience, the Motivation-Cognition Interaction (MoCoInt) framework, the present plan employs an interdisciplinary approach: in Study 1, an innovative multimodal functional neuroimaging method is proposed to analyse for the first time the neural mechanisms of MoCoInt in healthy ageing. The new evidence will provide a foundation for Study 2, in which the efficacy of a novel WM training procedure, based on MoCoInt, will be tested in healthy older adults in order to improve their WM capacity. Finally, to understand if this new training procedure can be employed to treat WM deficits in PD, Study 3 investigates for the first time MoCoInt mechanisms in PD patients in relation to pharmacological treatment, through the conduct of a randomised controlled drug trial. Results will enable to extend MoCoInt to healthy and pathological ageing, and to develop a new framework that will be available as a new theoretical model for both researchers and clinicians. MOTIVAGEING will therefore have both a significant scientific multidisciplinary impact, filling several gaps in knowledge in cognitive neuroscience, cognitive and clinical neuropsychology, and a valuable social and economic impact in the European Union, helping to address the crucial issues posed by the ageing population.

Keywords: motivation,ageing,parkinson s disease,working memory,dopamine,reward,fmri,drug trials,non invasive brain stimulation,cognitive training
A Neurocomputational Model of Episodic Memory (NEUROMEM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2022-09-30
Duration (months): 72.0
Total project cost (EUR): 2429964.0
EU funding (EUR): 2429964.0
Participants: 1
Project status: SIGNED

Our memories define us, and their disruption in psychiatric and neurological conditions can be devastating. However, how we are able, e.g., to remember our wedding day and re-imagine the scene that was around us, remains one of the great mysteries of the human mind. NEUROMEM is an integrated experimental and computational attempt at a fundamental breakthrough in this problem. Building on recent insights into how environmental location and orientation is encoded by neurons in the mammalian brain, I aim to develop a mechanistic understanding of how events we experience are stored, recalled and imagined, i.e. a neurocomputational model of how specific memories result from patterns of activity in neuronal populations. NEUROMEM will provide mechanistic answers to 3 long-standing questions: 1) What is the link between memory and space, and role of spatial context in re-imagining episodes? 2) How are the multiple diverse elements of complex life-like events recollected together? 3) How can remembered events be read-out as visuospatial imagery? Work will comprise psychological and functional neuroimaging experiments using sophisticated designs including use of virtual reality, and corresponding simulations of how such behaviour can be driven by neuronal activity. The computational modelling will directly contact neurophysiological data such as the firing of place and grid cells in the hippocampal formation, and provide quantitative behavioural predictions, while neuroimaging provides a read out of population activity during this processing in the human brain. NEUROMEM will generate new hypotheses and explanations at the cognitive level, of interest to all scholars of the complexity of the human mind, and allow neurophysiological interpretation of behavioural data - providing a vital link between cognitive theory and neuroimaging and neurological data. Its implications extend beyond memory, including the mechanism for imagining views that have not been experienced.

Keywords: episodic memory,neural networks,spatial cognition,hippocampus
Designing and Developing Wearables for Virtual Reality Environments with a Research Through Design Process (WEARTUAL)

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: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2021-12-29
Duration (months): 24.0
Total project cost (EUR): 202680.96
EU funding (EUR): 202680.96
Participants: 1
Project status: CLOSED

In WEARTUAL, I will investigate and develop ways to integrate wearables into virtual reality (VR) environments in a way that enhance the immersiveness of the VR experience. In particular, I will investigate the possible functions and interaction modalities of wearables for providing an improved user experience in VR by developing prototypes and including users in the design process. As a result, I will obtain wearable prototypes, comprehensive user experience data and design guidelines that will inform the human-computer interaction (HCI) literature about the right ways for designing wearables for VR environments. WEARTUAL is a user-oriented research through design project that will adopt an interdisciplinary approach by using the disciplines of interaction design, game design, product design, engineering and psychology. Mainly, I will adopt a research structure that encapsulates user inclusion, ideation, prototype development and user experience experiments and evaluations. In this project, I will transfer my knowledge of designing games, wearables and prototyping for design research activities, while supervision of Prof. Juho Hamari (Tampere University, Finland) will contribute to game design and gameful experience measurement. Prof. Hamari leads the Gamification Group (GG), an interdisciplinary team composed of 18 members whose research is focused on game research, gamification and immersive technologies, such as virtual and augmented reality. In this sense, his experience in leading complementary research teams will also help me develop as a leader for directing research groups. I will also closely collaborate with the members of the GG who are experienced in conducting research on and developing VR content.

Keywords: wearables,playful interaction,research through design,pervasive gaming