Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Metal oxide Aided Subsurface Remediation: From Invention to Injection (METAL-AID)

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: Environment and Geosciences
Countries involved: Iceland,Germany,Spain,Germany,Spain,Germany,Spain,United Kingdom,Denmark,Denmark
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2016-07-01
End date: 2021-01-31
Duration (months): 55.0
Total project cost (EUR): 3716533.44
EU funding (EUR): 3716533.44
Participants: 12
Project status: CLOSED

Thousands of sites across Europe are polluted with toxic metals and organic solvents; many more exist worldwide. As EU population grows, clean water will determine the quality of life and economic stability. Most sites remain contaminated because existing technology is costly and disruptive. Society needs an innovative way to decontaminate soil and groundwater directly underground. In METAL-AID, we will develop new technologies through fundamental knowledge. We are a consortium of experts in natural materials, contaminant reactivity, groundwater treatment and environment policy, spread over 4 consulting firms, 6 universities and a government agency. We will train 14 early stage researchers (ESRs) through integrated, intersectoral research, using advanced technology, ranging from nanometre to field scale. ESRs will gain technical, business and personal skills, as they push a promising soil and groundwater remediation technology toward commercialisation. To meet the METAL-AID goals, the ESRs will: 1) Test known layered double hydroxide (LDH) and redox active green rust (GR) reactants that show promise for remediating toxic metals and chlorinated compounds and invent new ones; 2) Derive thermodynamic and kinetic data, essential for safety assessment modelling; 3) Quantify reactant effectiveness and reacted phase stability and compare these with natural analogues; 4) Inject the new reactants at field sites operated by our beneficiaries. METAL-AID begins at technology readiness level, TRL 1 and runs to TRL 6, implementation. The government agency will provide guidance so our new technology complies with regulations and has promised R&D funding after the ETN ends, to carry it into full commercialisation. The ESRs will be trained to tackle challenges of concern to society, to communicate across sector boundaries and with the public, in a network that will last long after the project ends. We will provide a pool of scientists for roles in EU's knowledge based economy.

Keywords: layered double hydroxides,green rust,iron oxides,subsurface remediation chlorinated solvents,heavy metals,field scale injection
Statistical Tools for Reaction Efficacy AssessMent: Prediction and Understanding in Organocatalyst Discovery (STREAM)

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: Chemistry
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2021-08-31
Duration (months): 36.0
Total project cost (EUR): 257860.8
EU funding (EUR): 257860.8
Participants: 2
Project status: CLOSED

This proposal seeks to further develop Statistical Tools for Reaction Efficacy AssessMent (STREAM). The goal is to build small ligand sets to screen for statistical training of correlations, identify the parameters that are most likely to describe selectivity trends for particular catalysts, and develop a virtual screening deck that allows for rapid identification of improved performers. For this proposal we will evaluate peptide-based catalysts and N-heterocyclic carbenes (NHC) on various mechanistically distinct catalytic processes, to predict and understand reaction performance. The proposed STREAM methodology not only allows for effective prediction, and thus the design of better performing catalysts, but also is a contemporary approach to mechanistic study. These modern tools are general and applicable in principle to any chemical system, thus, directly relevant to each research group developing asymmetric or site-selective reactions. The experienced researcher proposes to undertake the outgoing phase within Professor Matthew Sigman’s research laboratory (University of Utah, USA) and undertake the incoming phase within Professor Frank Glorius’ research laboratory (Westfälische Wilhelms-Universität – Münster, Germany); both proposed supervisors are experts in the mechanistic study of asymmetric catalysis (with complementary skill sets) and highly prominent figures in the field of catalyst design.

Keywords: catalyst design,organocatalysis,multidimensional reaction analysis tools,data driven reaction optimisation,computationally derived parameters
Delivering Agile Research Excellence on European e-Infrastructures (DARE)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Greece,Greece,France,Netherlands,United Kingdom,United Kingdom
Call: Platform-driven e-infrastructure innovation (H2020-EINFRA-2017, 2017)
Start date: 2018-01-01
End date: 2020-12-31
Duration (months): 36.0
Total project cost (EUR): 2957500.0
EU funding (EUR): 2957500.0
Participants: 10
Project status: CLOSED

DARE (Delivering Agile Research Excellence on European e-Infrastructures) aims to provide scientific communities with a unifying hyper-platform and development context to allow for user-friendly and reproducible carrying out of huge data-driven experiments, and rapid prototyping. DARE specifically addresses the requirements of innovating teams of research developers and scientists, who work on the intersection of software engineering and scientific domains, and on data, complexity and computing extremes. The size and complexity of scientific data, as well as the difficulty in formulating domain-specific solutions in reproducible and reusable ways, may often lead to throw-away, unsustainable end-user products, or long release cycles. This complexity increases exponentially with the size and diversity of input and produced data. Furthermore, widely used big-data technologies and analytics, while they are known to lead to increased productivity in commercial settings, they are often not taken advantage of in scientific. The requirement to deal with diverse exascale data resources dictates the need to ensure and increase productivity through the controlled disruption of the current modus operandi of European RIs. DARE aims to be the technological pivot for this transition, while providing transparent, traceable and developer-friendly bridges over existing infrastructures and services. Building on extensive experience in research e-infrastructures, semantification and the handling of metadata, and on big-data technologies and domain applications, DARE will equip teams of innovators with meaningful abstractions and tools allowing for rapid prototyping of reproducible and efficient research solutions. DARE will improve further and integrate tried and tested programmatic dataflow specification APIs, big-data technologies and provenance/data-lineage solutions to address the requirements of European RIs, initially of EPOS, on Earth science, and IS/ENES2, on climate.

Keywords: exascale research,data driven development,computing extremes,epos,enes,research development
Moduli Spaces associated with Singularities (ModSingLDT)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Hungary
Call: Widening Fellowships (H2020-WF-02-2019, 2019)
Duration (months): 24.0
Total project cost (EUR): 151850.88
EU funding (EUR): 151850.88
Participants: 1
Project status: CLOSED

The aim of this project is to investigate enumerative invariants of the Hilbert schemes parametrizing zero-dimensional subschemes of some basic classes of surface singularities as well as of its higher rank analogues, and find connections between these enumerative invariants and the Chern-Simons theories on the links of the singularities. This question will open brand new relations between algebraic and topological invariants of these singularities. The main tool to approach the problem will be to develop representations of vertex algebras on the cohomologies or derived categories of these moduli spaces conjecturally giving rise to analogues of the Nekrasov parition function on the singularities. Then we will use recent new developements about a specific motivic measure with values in the Grothendieck ring of geometric dg categories to prove some simplification of the aimed correspondence. In the end we will raise these simplified results to the general level. This project will allow the researcher to broaden his area of expertise as well as to develop new directions in his research lines. He will complement his knowledge in low-dimensional topology at one of the most prestigious research institutes and under the guidance of one of the worldwide leaders in this field.

Keywords: hilbert scheme of points,normal surface singularities,vertex algebras,nekrasov partition function,chern simons theory
Elucidating transcriptional rewiring on hematological malignancies via computational methods (LINKER)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-03-01
End date: 2022-02-28
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Genes and their corresponding pathways form networks that regulate various cellular functions that are critical in tumor development. These networks, coined Gene Regulatory Networks (GRNs), define the regulatory relationships among genes and provide a concise representation of the transcriptional regulatory landscape of the cell. Further, different phenotypes can lead to activation of different functional pathways by different global rewiring of the underlying GRNs. To uncover such transcriptional rewiring, in this project I will further advance and optimize a recent efficient computational method developed by myself, coined LINKER, aiming at uncovering GRNs from RNAseq data; and given those networks, develop efficient differential network analysis methods that will shed light into the regulatory rewiring associated with phenotype. As one of the key goals of this proposal is the translation of computational methods to advance clinical cancer knowledge, I will work with the hosting group to apply LINKER to uncover the transcriptional rewiring associated to hematological malignancies. Specifically, I will apply LINKER in a stepwise model first on available RNA-seq data from multiple myeloma and acute myeloblastic leukemia, and second to primary data from patients with these diseases provided by the hosting supervisor. Rewired GRNs between MM and normal BM plasma cells and between leukemic blast and normal hematopoietic progenitor cells, potentially implicated in the pathogenesis of the disease, will be functionally validated by state of the art gain and loss of function technologies (CRISPR/cas9). As data provided by the host institution includes clinical follow up from patients we will also examine the prognostic value of our identified GRN. I envision that LINKER will provide additional novel insights to our understanding of the key rewiring associated with these malignancies, increased by our ability to translate the discovered biomarkers to patient treatment.

Keywords: computational biology,transcriptomics,epigenetics,gene regulation,biostatistics,machine learning,hematological malignancies,cancer genetics
Chemical communication in the rhizosphere of plants (CHEMCOMRHIZO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Netherlands,Netherlands
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-12-01
End date: 2021-11-30
Duration (months): 72.0
Total project cost (EUR): 2498673.86
EU funding (EUR): 2420490.18
Participants: 2
Project status: CLOSED

Plants secrete metabolites to communicate with other organisms in their rhizosphere. An exciting example of rhizosphere signalling molecules are the strigolactones. These are used by the friends of plants, the arbuscular mycorrhizal fungi, for host detection but also by their enemies, root parasitic plants. Furthermore, they have an endogenous signalling function, as a plant hormone that regulates shoot branching and root architecture. I postulate that this dual positive and negative signalling role of the strigolactones is the result of a paradigm: enemies of plants recruit molecules that are essential to the plant as cues. This paradigm has two important implications: 1) other plant-produced signalling molecules known to be abused by plant enemies likely have another, beneficial essential function in plants and 2) the involvement of multiple, positive and negative, biological functions exerts a selective pressure on these signalling molecules that results in the evolution of diversity in structure and biological specificity. In the project proposed here I will address implication 1) using an innovative approach in a new area by setting out to discover a new signalling role for plant parasitic cyst nematode hatching stimulants and I will investigate implication 2) by studying how biological specificity in strigolactones and hatching stimulants is mediated by the creation of structural diversity and the concomitant changes in perception, in parasitic plants and nematodes. This work will shed light on the significance of structural diversity in signalling molecules and the co-evolution of perception and may result in the discovery of a new class of signalling molecules in plants. It will also provide the fundamental knowledge enabling biotechnological and agronomical applications to optimise colonisation by AM fungi and plant development, and control parasitation by root parasitic plants and cyst nematodes.

Keywords: parasitic plants,plant cyst nematodes,rhizosphere communication,plant hormones
Microfluidic Crystal Factories (μ-CrysFact): a breakthrough approach for crystal engineering (microCrysFact)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Spain,Switzerland
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-09-01
End date: 2022-08-31
Duration (months): 72.0
Total project cost (EUR): 1814128.0
EU funding (EUR): 713147.0
Participants: 3
Project status: CLOSED

To study and understand the aggregation, nucleation, and/or self-assembly processes of crystalline matter is of crucial importance for research and applications in many disciplines. For example, understanding the formation of crystalline amyloid fibres could lead to advances in the treatment and prevention of both Alzheimer’s and Parkinson’s diseases, whereas controlling the process of crystal formation can play a significant role in obtaining chemicals and materials that are important for industry as well as society as a whole (e.g., drugs, superconductors, polarizers and/or frequency modulators). Despite the impressive progress made in molecular engineering during the last few decades, the quest for a general tool-box technology to study, control and monitor crystallisation processes as well as to isolate metastable states (dynamic capture) is still incomplete. That is because crystalline assemblies are frequently investigated in their equilibrium form, driving the system to its minimum energy state. This methodology limits the emergence of new chemicals and crystals with advanced functionalities, and thus hampers advances in the field of materials engineering. µ-CrysFact will develop tool-box technologies where diffusion-limited and kinetically controlled environments will be achieved during crystallisation and where the isolation of non-equilibrium species will be facilitated by pushing crystallisation processes out of equilibrium. In addition, µ-CrysFact’s technologies will be used to localise, integrate and chemically treat crystals with the aim of honing their functionality. This unprecedented approach has the potential to lead to the discovery of new materials with advanced functions and unique properties, thus opening new horizons in materials engineering research.

Keywords: technology,crystallisation processes,molecular engineering,metastable states,thermodynamic state,kinetically controlled environments,localisation,integration,and functional matter
Enhancing farm productivity and guaranteeing CATTLE traceability and welfare with blockCHAIN (CATTLECHAIN 4.0)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Germany,Spain,Spain,France,France
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2018)
Start date: 2019-04-01
End date: 2022-03-31
Duration (months): 36.0
Total project cost (EUR): 2495115.0
EU funding (EUR): 2039415.0
Participants: 6
Project status: CLOSED

Analysis of the Direct Payment Scheme and farm incomes by DG-AGRI shows that on average about 50 % of the European livestock farms are reliant on subsidies. Currently, precision farming is only profitable for big farms and the investment is always difficult to pay back. Besides, there is an increasing demand on more information on food quality and safety and traceability. Thus, the EU livestock sector is in need of innovative tools to (i) increase its efficiency and become an attractive activity for the younger generations and (ii) assure full transparency and traceability along the supply chain. In this context, CATTLECHAIN 4.0 project aims to develop an integral smart solution to support the EU livestock sector to overcome the aforementioned challenges. By recording different parameters from the cows with IoT wearables, and analysing this data with Artificial Intelligence algorithms, farmers get a decision support tool about their farm condition, so they can take immediate action if any issue arises and prevent losses/health issues. Besides, by aggregating the data from multiple cows and farms in a blockchain based cloud platform, consumers and public authorities can access a traceability tool with truthful and secure data about the meat/dairy supply chain. Finally, aligned with consumers’ demands and thanks to the information gather by the IoT wearables, an Animal Welfare Seal will be created that guarantees that the meat and dairy products meet the highest animal welfare standards. This ground-breaking technologies and services will be validated in ambitious trial scenarios with 5.000 cows. The project will boost the growth of the two industries involved, firstly of the coordinator SENSO a tech-startup that will exponentially increase its turnover, and secondly of NATRUS, company specialised in premium hamburguers, who will gain a competitive advantage by being able to completely trace back their products.

Keywords: livestock,smart farming,blockchain,animal welfare,big data
Phonemic representations in speech perception and production: Recalibration by reading acquisition (ReadCalibration)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-10-01
End date: 2025-09-30
Duration (months): 72.0
Total project cost (EUR): 1875000.0
EU funding (EUR): 1875000.0
Participants: 1
Project status: SIGNED

The main goal of this project is to demonstrate that reading acquisition (RA) drastically reshapes our phonemic inventory, and to investigate the time-course and fine-grained properties of this recalibration. The main innovative and ground-breaking aspect of this project is the merging of two research fields, (1) reading acquisition and (2) phonemic recalibration, together with a deep and extensive exploration of the (3) perception-production link, which results in a new research line that pushes the boundaries of our understanding of the complex interactions between auditory and visual language perception and production. We will demonstrate that phonemic representations (PRs) become more stable (less dispersed) during the process of learning to read, and that this recalibration varies according to the grapheme-phoneme conversion rules of the reading system. We will explore such recalibration by means of the first cross-linguistic longitudinal study examining the position and dispersion of PRs, both in perception and production of phonemes and words. Secondly, we will explore how recalibration develops when RA is impaired as is the case in dyslexic children –informing the research field on (4) dyslexia– and when pre-reading PRs are unstable as is the case in deaf children with cochlear implants –informing the research field on (5) deafness. Finally, the research will also be extended to PR recalibration during RA in a second language –informing the research on (6) bilingualism. This proposal provides the first systematic investigation of phonemic recalibration during literacy acquisition, and will provide important insight for pragmatic research and theoretical accounts of language perception and production and phonemic recalibration. This project will also have major implications for the clinical field (theories and remediation of dyslexia and deafness) and for social policies and education (bilingualism, spoken and written language teaching).

Keywords: phonemic recalibration,reading acquisition,orthographic consistency,dyslexia,deafness,bilingualism