Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
RAISING DISRUPTIVE BIOECONOMY VENTURES, STARTUPS AND SPIN-OFFS TO THE TOP (BioeconomyVentures)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Coordination and support actions
Partnership: BBI (Art-187)
Countries involved: Spain,Spain,Austria,Ireland,Italy,Ireland,Serbia,Belgium,Greece,Belgium,United Kingdom
Call: Help start-ups and spin-offs to gain access to finance (H2020-BBI-JTI-2020, 2020)
Start date: 2021-05-01
End date: 2023-10-31
Duration (months): 30.0
Total project cost (EUR): 1499312.5
EU funding (EUR): 1499312.5
Participants: 12
Project status: SIGNED

The BioeconomyVentures project aims to build the reference platform for bioeconomy-based start-ups and spin-offs seeking to gain access to finance, becoming the main meeting point in the European bioeconomy. Our solution, aligned with the European Bioeconomy Strategy (2018) and the vision and strategy of the Bio-based Industries Consortium (BIC), is based on a threefold approach: 1) Building and leveraging the first of its kind bioeconomy entrepreneurship ecosystem, boosted by the BioeconomyVentures Ambassadors Programme (AAP). 2) Creating and validating an assessment methodology for qualify and quantify the needs of the start-ups and spin-offs though the BioeconomyVentures Evaluation Matrix 3) Designing, developing and executing an interactive one-stop-shop- platform that will serve as a main meeting point for the bioeconomy entrepreneurship field, bringing together relevant groups of stakeholders (start-ups, spin-offs, investors and corporates) and integrating, on one single access point, high-quality services aiming to unlock the innovation potential and uncover opportunities to build relationships and partnerships across the BioeconomyVentures network. The consortium forms a strong pool of experts along with the fields of bioeconomy and business with a track record managing entrepreneurship programs. Its partners have been intentionally selected by their expertise and geographical reach, bringing together 6 different countries (IE, ES, BE, AT, IT, RS) to consolidate the maximum outreach of the initiative. It consists of 9 partners with complementary competences: 5 clusters or networks of start-ups, spin-offs, corporates and investors (IBF, FF, FOOD+I, FSH, and FSH), 2 innovative SMEs (ENCO, ALC) with an important background in providing services and training to entrepreneurs, the main Pilot Plant Facility in Europe (BBEPP) and one Research and Innovation Centre specialized in venture development within the bioeconomy field (AITIIP).

Keywords: bioeconomy,innovation
Modular Design of Bacterial Lipid Mimics for Next-Generation Antimicrobials (AmCaLiStat)

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: Chemistry
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-02-22
End date: 2023-02-21
Duration (months): 24.0
Total project cost (EUR): 174167.04
EU funding (EUR): 174167.04
Participants: 1
Project status: CLOSED

Antimicrobial resistance in bacteria is a growing public health crisis, as common drugs are becoming ineffective against many species of pathogenic bacteria. This research aims to devise highly specific and stable antimicrobials, which target the amphiphilic component that anchors LPS to Gram-negative bacterial membranes, “Lipid A”, for direct antimicrobial effect and to potentiate other antimicrobials. Taking inspiration from bacterial lipids, which possess multiple tails and a polybasic headgroup, synthetic cationic lipidoids have the potential to be highly specific bacterial membrane-targeting antimicrobials. Preliminary results demonstrate that some cationic lipidoids bind and disrupt bacterial lipid assemblies, and significantly inhibit the growth of E. coli at micromolar concentrations. However, the breadth of potential molecular structures arising from the range of available starting materials makes the search for optimum compounds an insurmountable task. This proposal outlines an innovative use of statistical software to steer modular synthetic design and expedite the identification of promising new antimicrobials. Relative to a "one-factor-at-a-time" approach, statistical design can quickly uncover correlations between structure and activity, and unexpected interactions between structural variables, thus accelerating the discovery of antimicrobial compounds that would not otherwise be obvious. In addition to uncovering new compounds selective to bacteria, libraries of lipidoids will be investigated to help uncover design rules for the effect of shape on membrane interactions, and generic mechanisms of membrane-targeting antimicrobial action. Results could also lead to new means to potentiate obsolete antimicrobials that are impermeable to bacterial membranes, or act as a chaperone for highly effective but relatively unstable antimicrobial peptides.
Noise and drag reduction by riblets. (ANACLETO)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

The aeroacoustic emission generated by the interaction between the trailing-edge of an airfoil and the layer of fluid near the airfoil surface (boundary layer) is known as trailing-edge noise. Trailing-edge noise is among the dominant sources of noise pollution from a landing aircraft and the most significant contributor of the aeroacoustic emissions of a wind turbine. Strategies for the abatement of this source of noise were developed over the last few years, but they deteriorate the aerodynamic performance (lift over drag ratio), which hinders their implementation in engineering solutions. Riblets on the other hand have never been explored in aeroacoustics, although they lead to a drag reduction of up to 10% when applied on a flat plate. Riblets are tiny surface protrusions aligned along the flow direction. A texture analogous to riblets is found in the wing feathers of the owl, the most silent bird in the animal kingdom when flying. To investigate how riblets of different geometries impact on the aeroacoustic and aerodynamic properties of an airfoil, this project pairs a researcher with experience in experimental fluid mechanics and turbulence research with an expert in aeroacoustics and numerical methods, achieving a mutually beneficial transfer of knowledge. The Fellow will examine the effects on noise and drag reduction of a complete set of independent geometrical parameters for the riblets. This will be followed by a detailed study of the flow physics using a complementary approach involving time-resolved tomographic particle image velocimetry at high spatial resolution and high-fidelity numerical simulations with the software PowerFLOW™. The project dissemination will target scientific communities where immediate impact is envisaged, comprising aeroacoustics, aerospace and energy engineering, and turbulence. This pairing and build of project will ensure the successful completion of this ambitious research project and promote the Fellow’s career development.

Keywords: aeroacoustics,aerodynamics,turbulence,particle image velocimetry,wind tunnel tests,computational fluid dynamics,bio inspired strategy
SIZE selective optical SENsing of BIOmolecules with functionalized porous photonic structures (BIOSENSIZE)

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: Chemistry
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: TERMINATED

The ultimate goal of this proposal is the development of photonic films with the capability to respond optically in the presence of a targeted biomolecule not only because it binds to a specific chemical function, but also because of its size. It lies in the common ground of biologists, physicists, chemists and technologists. In particular, the BIOSENSIZE project will explore paradigmatic examples in the field of biomolecule detection through functionalization, adding size as a new parameter to achieve improved selection. The opportunity of this proposal is related to the remarkable results and the strong background of the applicant in functionalization of porous structures and optical detection of a variety of molecular compounds, which will be synergistically combined with the expertise in porous mesostructured responsive photonic structures of the host group. This project aims to develop a new paradigm in sensing, introducing the concept of functionalized photonic biomolecular sieves. Results attained within this project will provide significant advance in the development of versatile high performance coatings for sensors, since the porous structures proposed are adaptable to a wide variety of substrates. Through this project, the candidate will strengthen his position as an independent researcher with a unique combination of skills, ranging from synthetic and functionalization chemistry to advanced optical characterization of photonic materials for sensing.

Keywords: mesostructured films,photonic materials,size selectivity,functionalization,sensing,biomolecular sieves
Study of neuronal sensing and migration/guidance dynamics in neurodevelopmental disorders by nano-engineered chips (NEUROGUIDE)

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-2017, 2017)
Start date: 2018-03-01
End date: 2019-03-31
Duration (months): 13.0
Total project cost (EUR): 96199.35
EU funding (EUR): 96199.35
Participants: 1
Project status: CLOSED

Defects in neuronal migration have a severe impact on normal brain function. Here, neuronal contact sensing of the extracellular environment combines with complex signaling, determining the final wiring and plasticity. Although deficits in neuronal micro-connectivity are recently emerging as crucial in neurodevelopmental disorders (e.g. autism, schizophrenia), the role of neuronal sensing and fine-migration processes is still poorly understood in these pathological conditions. I propose to study neuronal sensing and guidance/migration in neurodevelopmental disorders, at both system and molecular level, with a multidisciplinary approach that combines nano-engineered devices (i.e. nano-structured substrates and microfluidic chips), molecular neuroscience and state-of-the-art fluorescence microscopy, with the aim to clarify the biochemical processes impaired in neuronal guidance. As a pathological model, the project will focus on the unbalanced levels of ubiquitin ligase E3a (UBE3A), which leads to several neurodevelopmental disorders. Reduced UBE3A levels result in Angelman Syndrome, whereas increased UBE3A levels results in autism. However, its specific role in brain development is still unclear. This project will investigate the topic of neuronal sensing/guidance bi-directionally: 1) in vivo, in Ube3a-mutant mouse models (using genetic engineered mouse models and/or in utero electroporation with specifically-tagged plasmids or silencing-RNA), to identify deficits; 2) in vitro, in Ube3a-mutant neuronal cells by nano-engineered platforms (by applying specific biomimetic physico-chemical stimuli to single cells), to study the biochemical mechanisms involved in the neuronal guidance deficits. The obtained results will help to clarify the role of UBE3A in the pathogenesis of neurodevelopmental disorders but also to establish the value of nano-engineered platforms as innovative bio-mimicking platforms for investigating neuronal guidance dynamics in vitro, at molecular lev

Keywords: neuronal migration,mechanotrasduction,nanostructured mayerials,microfluidics
TRemor as Eruption MOnitoR (TREMOR)

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: Iceland
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Duration (months): 24.0
Total project cost (EUR): 179325.6
EU funding (EUR): 179325.6
Participants: 1
Project status: CLOSED

A small eruption in Iceland in 2010 had a big impact on the economy, airlines, and people in Europe and worldwide. Forecasting eruptions and mitigating their effects requires better understanding of the precursory signals and their detection amongst other signals. One of the key geophysical signals is volcanic tremor which is observed before and during eruptions but is only phenomenologically interpreted. The project TREMOR, based at the Icelandic Meteorological Office (IMO) and the University of Cambridge will exploit their extensive, multidisciplinary databases including recordings of recent eruptions and floods. It will overcome present shortcomings, such as badly constrained tremor locations through use of new location techniques, dense seismic networks and small source-receiver distances. These improvements are made possible by the FUTUREVOLC project (FP7, 2012-2016) which expanded existing networks in Iceland shortly before the Bardarbunga 2014/15 eruption. Preliminary results during the researchers PhD suggest that both pre-eruptive and eruptive tremor exist during this eruption and have different characteristics. The TREMOR project will continue from this point with the objectives to (i) systematically search for pre-eruptive tremor, (ii) characterise it with respect to eruptive tremor and other tremor sources such as floods, glaciers and hydrothermal boiling, (iii) find factors that affect its characteristics and (iv) understand the source mechanism better. If TREMOR is successful, pre-eruptive tremor can be introduced as an eruption precursor, not only with direct application at IMO, but potentially worldwide. This thorough study will form the basis of future research, as it will be disseminated through conference presentations, publication in peer-reviewed journals and communication to the public. It will further train and integrate the researcher into two effective, experienced, multidisciplinary research groups to strengthen professional maturity.

Keywords: eruption forecasting,flood forecasting,monitoring of floods and eruptions,tremor source classification
The Lexicalisation of Perceptual Experience (LexPex)

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: Social Sciences and Humanities
Countries involved: United Kingdom,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-28
End date: 2025-10-27
Duration (months): 36.0
Total project cost (EUR): 337400.65
EU funding (EUR): 337400.64
Participants: 2
Project status: SIGNED

Previous research suggests there may be underlying regularities in how languages encode perceptual experiences and in how perceptual language evolves over time. This points to the possibility that our cognitive architecture plays a role in constraining the variability in this domain of language. Substantiating this is highly relevant for the cognitive sciences, in light of recent proposals that many aspects of cognition may be more culture-specific than previously thought and that there are few, if any, universals of language. The present project takes up this goal by investigating how basic perceptual experiences (e.g. seeing, hearing, smelling) are encoded by verbs across languages and examining whether cognitive biases shape aspects of this lexical field. First, I will undertake a large-scale typological survey of perception verb lexicons to assess the extent to which they exhibit systematic patterns. Second, I will extend the search for regularities to the phylogenetic dimension, by examining whether perception verb vocabulary evolves along the same constrained pathways across three language families. Third, I will provide the first behavioural evidence to bear on the question of whether recurrent typological patterns in perception verb lexicons have their origins in cognitive biases, by conducting a novel artificial language learning experiment. This interdisciplinary project represents an ideal synergy between my research profile (linguistic typology, language change, psycholinguistics), the supervisor’s (Prof. Asifa Majid, cross-cultural psychology, word meaning) and that of the partner institution supervisor (Prof. Fiona Jordan, evolutionary and linguistic anthropology). Through its novel contribution to lexical typology, cognitive psychology, and language evolution, and by its advanced training in state-of-the-art technical skills, the project offers the ideal opportunity to relaunch my scientific career following a three-year hiatus raising two children.

Keywords: lexical typology,semantic universals,polysemy,perceptual language,computational phylogenetics,artificial language learning
Application of Functionally Graded Materials to Extra-Large Structures (Grade2XL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Innovation actions
Countries involved: Germany,Germany,Belgium,Poland,Belgium,Poland,Slovenia,France,France,France,France,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,United Kingdom
Call: Advanced materials for additive manufacturing (IA) (H2020-NMBP-TR-IND-2019, 2019)
Start date: 2020-03-01
End date: 2024-02-29
Duration (months): 48.0
Total project cost (EUR): 9752666.25
EU funding (EUR): 7910280.0
Participants: 22
Project status: SIGNED

Large engineering structures like turbines, bridges or industrial machinery are still manufactured by traditional processes such as forging, casting or by machining from solid blocks. These processes do not allow local control of material properties to achieve a specific function like anti-corrosion or hardness. To meet the functional specifications, engineers must operate within a limited range of design options, with high “buy-to-fly” ratios and long lead times. Unlike any other metal AM technology, wire arc additive manufacturing (WAAM) produces fully dense metallic structures with no porosity. WAAM is also unbeatable in terms of production times, making it uniquely suited for large and functionally demanding engineering structures. In Grade2XL, we will demonstrate the potential of multi-material wire arc additive manufacturing (WAAM) for large scale structures. The high printing rate of WAAM, combined with the ability to control material properties down to the nanoscale, will allow us to build strong and durable engineering structures. Grade2XL will deliver multi-material products of superior quality and performance, cut lead times by up to 96% and enable massive cost savings for the maritime and energy industry, as well as for industrial machinery. These outputs will rapidly roll out to other sectors with similar key performance indicators and become an attractive investment opportunity for SMEs. This project will strengthen Europe’s capacity to drive manufacturing innovation globally and withstand growing competition from Asia.

Keywords: wire arc additive manufacturing waam,large scale,functionally graded materials,functional design,in line non destructive evaluation
Benchmarking of Wheel Corner Concepts Towards Optimal Comfort by Automated Driving (OWHEEL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Italy,Italy,South Africa,Germany,Germany,Lithuania,Belgium,France,Netherlands,United Kingdom,Japan,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2019, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 644000.0
EU funding (EUR): 602600.0
Participants: 12
Project status: SIGNED

The project OWHEEL aims at the development and evaluation of new concepts of automotive wheel corners as crucial elements of future vehicle architecture tailored to provide an optimal comfort during automated driving. The consortium will benchmark four essentially different classes: Passive corner with specific wheel positioning; Passive composite corner; Active corner with ordinary ride dynamics control; Active corner with integrated wheel positioning control. For each proposed concept, the project will include relevant stages of development design, extensive simulation studies and experimental validation. The main goal of the OWHEEL project is to perform deep analysis and provide on its basis the recommendations for future vehicle architecture, which could ensure an optimal comfort by automated driving. In this regard, the research and innovation objectives are focused on: i. Revisiting the driving comfort criteria with their tuning to automated driving requirements and operational modes; ii. Development of bencmarking criteria and corresponding analytical tool for comparison of wheel corner concepts in terms of driving comfort quality with simultaneous ensuring of required performance in terms of safety, energy-efficiency and reliability; iii. Development and validation of active wheel corner concepts; iv. Development and validation of passive wheel corner concepts; v. Producing practical recommendations for automotive system developers based on obtained R&D results The implementation of the project OWHEEL will be based on intensive staff exchange that leads to collaborative research and training between universities and industrial organizations from EU, Japan and South Africa. The project will also include relevant networking, dissemination and exploitation actions.

Keywords: automated driving,electric vehicles,driving comfort