Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Immuno-targeting of human AML quiescent cells by a novel phage display approach. (ITHACA)

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: Italy
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: 2
Project status: CLOSED

One main objective of our ERC Advanced Grant project (InMec, No 341131) was to determine how cancer stem cells (CSCs) contribute to tumour growth, and the relative impact of quiescent versus proliferative CSCs. In Acute Myeloid Leukaemia (AML), our results strongly suggest that quiescent leukaemia stem cells are critical for leukaemia maintenance and relapse after treatments. AML is an aggressive and frequently fatal hematologic malignancy. It is usually sensitive to chemotherapy at its onset, leading to disease remission in most patients; however, the majority of patient will later relapse and eventually die. Notably, leukaemia stem cells are often resistant to chemotherapy. We will use our innovative phage-display antibody screening platform to generate antibodies against AMLs. The screening will be performed directly on human AMLs growing in vivo, using an innovative mouse xenotransplantation model followed by an NGS-based antibody selection procedure. We plan to isolate antibodies that selectively recognize leukaemia stem cells, either quiescent or proliferating. Our primary goal is to develop novel therapeutic antibodies for the treatment of AMLs. This project will also indirectly confirm the hypothesis that leukaemia stem cells are the real fuel of the disease. We expect that this project will lead to quick and cheap identification, cloning and validation of human recombinant antibodies towards against AML leukemic stem cells. The use of phage display technology to isolate leukemic stem cell-specific human recombinant antibodies is to our knowledge unprecedented. The development of candidate antibodies against AMLs will be accompanied by the promotion of commercial/exploitation activities such as market and competition analyses, intellectual property management, and product and business development through the activities of our partner TTFactor.

Keywords: acute myeloid leukemia,therapeutic antibodies,in vivo phage display screening,leukemic stem cells
Cleaning Litter by developing and Applying Innovative Methods in european seas (CLAIM)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: Innovation actions
Countries involved: Germany,Estonia,Italy,Spain,Italy,Sweden,Tunisia,Bulgaria,Greece,Belgium,France,France,France,Netherlands,Denmark,Portugal,Lebanon,Denmark,United Kingdom
Call: Blue green innovation for clean coasts and seas (H2020-BG-2017-1, 2017)
Start date: 2017-11-01
End date: 2022-04-30
Duration (months): 54.0
Total project cost (EUR): 6150475.25
EU funding (EUR): 5652911.01
Participants: 22
Project status: CLOSED

CLAIM focuses on the development of innovative cleaning technologies and approaches, targeting the prevention and in situ management of visible and invisible marine litter in the Mediterranean and Baltic Sea. Two innovative technological methods will be developed, a photocatalytic nanocoating device for cleaning microplastics in wastewater treatment plants and a small-scale thermal treatment device for energy recovery from collected litter on board ships and ports. An innovative floating boom for collecting visible litter and a method to measure microlitter on board ships (Ferrybox) will be developed. The proposed cleaning technologies and approaches prevent litter from entering the sea at two main source points, i.e. wastewater treatment plants and river mouths. Effectiveness of developed devices and methods will be demonstrated under real conditions. Additionally, CLAIM will develop innovative modeling tools to assess the marine visible and invisible plastic pollution at basin and regional scales (Saronikos Gulf, Gulf of Lion, Ligurian Sea, Gulf of Gabes and Belt Sea). An ecosystems approach will be followed to evaluate the potential benefit from proposed litter cleaning methods to ecosystem services. New business models will be developed to enhance the economic feasibility for upscaling the innovative cleaning technologies, taking into account the existing legal and policy frameworks in the CLAIM countries, as well as acceptance of the new technologies by their end-users and relevant stakeholders. The data and information produced will be made available to policymakers, stakeholders and end-users in a user-friendly format,both meaningful and tailored to each stakeholder group. CLAIM aims at the same time to raise public awareness with respect to having healthy oceans and seas, clean of litter and pollutants, and hence the importance of reducing marine (macro, micro and nano) pollution in European seas and beyond towards restoring marine ecosystems based on a circular economy.

Keywords: integrated approach,visible and invisible coastal pollution,innovative green technologies,forecasting tools,microlitter,macrolitter
Elastic Coordination for Scalable Machine Learning (ScaleML)

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: Austria
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-03-01
End date: 2024-02-29
Duration (months): 60.0
Total project cost (EUR): 1494121.0
EU funding (EUR): 1494121.0
Participants: 1
Project status: SIGNED

Machine learning and data science are areas of tremendous progress over the last decade, leading to exciting research developments, and significant practical impact. Broadly, progress in this area has been enabled by the rapidly increasing availability of data, by better algorithms, and by large-scale platforms enabling efficient computation on immense datasets. While it is reasonable to expect that the first two trends will continue for the foreseeable future, the same cannot be said of the third trend, of continually increasing computational performance. Increasing computational demands place immense pressure on algorithms and systems to scale, while the performance limits of traditional computing paradigms are becoming increasingly apparent. Thus, the question of building algorithms and systems for scalable machine learning is extremely pressing. The project will take a decisive step to answer this challenge, developing new abstractions, algorithms and system support for scalable machine learning. In a nutshell, the line of approach is elastic coordination: allowing machine learning algorithms to approximate and/or randomize their synchronization and communication semantics, in a structured, controlled fashion, to achieve scalability. The project exploits the insight that many such algorithms are inherently stochastic, and hence robust to inconsistencies. My thesis is that elastic coordination can lead to significant, consistent performance improvements across a wide range of applications, while guaranteeing provably correct answers. ScaleML will apply elastic coordination to two specific relevant scenarios: scalability inside a single multi-threaded machine, and scalability across networks of machines. Conceptually, the project’s impact is in providing a set of new design principles and algorithms for scalable computation. It will develop these insights into a set of tools and working examples for scalable distributed machine learning.

Keywords: machine learning,distributed systems,distributed algorithms
Universal properties of Chaos and Hydrodynamics (UniCHydro)

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: Physics
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-02-01
End date: 2024-07-10
Duration (months): 36.0
Total project cost (EUR): 269002.56
EU funding (EUR): 269002.56
Participants: 2
Project status: SIGNED

Fluid dynamics is an effective description that applies to a variety of physical systems such as the quark-gluon plasma produced in heavy-ion collisions at RHIC and LHC. Recently, it has become of foremost importance to develop a hydrodynamic theory that incorporates the effects of statistical thermal fluctuations of the background. With such a framework at hand, it would be possible to analytically access many physical situations where statistical fluctuations are dominant such as in turbulent flows and, for example, around the putative critical point in the phase space of Quantum Chromodynamics (QCD) at finite temperature and finite baryon density. Another place where such considerations become relevant is in the physics of Quantum Chaos. Recent developments have shed new light into manifestations of many-body quantum chaos and have lead to the formulation of an effective theory for chaotic systems, albeit with a large number of degrees of freedom. Deviations from this limit seem to strongly indicate the necessity of including statistical fluctuations. Understanding these effects would help to classify the different universality classes of chaos to complete the survey of its manifestations. The research proposal “UniCHydro” addresses several strategic aspects mentioned above related to universal properties of fluid dynamics and quantum chaos. The Experienced Researcher is an expert on Schwinger-Keldysh effective field theory techniques which constitute the starting point for developing this research proposal. The stimulating environments of MIT and the University of Florence will allow then the Experienced Researcher to acquire the new set of skills in analyzing statistical fluctuations and new competencies in quantum chaos which will be fundamental to enhance its career prospects and to become a mature and independent scientist.

Keywords: holography,cft correspondence,relativistic hydrodynamics,schwinger keldysh effective field theories,effective field theories,quantum chaos,heavy ion collisions,quark gluon plasma
Creating Granular Materials Experts by Developing Experimental Calibrations for Computational Methods (CALIPER)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria,Germany,Spain,Germany,Italy,Austria,Hungary,France,France,France,Netherlands,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-09-01
End date: 2024-02-29
Duration (months): 54.0
Total project cost (EUR): 3686305.32
EU funding (EUR): 3686305.32
Participants: 14
Project status: SIGNED

Granular materials such as sand, salt grains and coffee beans are everywhere. Predicting how granular materials flow and deform is obviously important for a wide range of sectors, yet still a highly challenging task. Computational methods to assist in handling granular materials have greatly improved in the past decades. However, these computational methods need more and more experimental calibration. Current calibration technology is completely insufficient to provide the required information to calibrate computational methods. CALIPER will train a cohort of experimental and computational experts by letting them develop and use innovative granular calibration technology based on three dimensional imaging methods. CALIPER training is provided by leading academics and an exciting mix of large and small European companies and will make use state-of-the-art experimental infrastructure. CALIPER will so provide Europe with a unique group of professionals that will enhance the academic and industrial innovation capacity in a wide range of sectors for years to come.

Keywords: granular,imaging,calibration,discrete element method,experiment
Process integration for rapid implementation of sustainable innovative food processing (i3-Food)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Innovation actions
Countries involved: Germany,Germany,Germany,Spain,Germany,Germany,Netherlands,Netherlands
Call: Innovative solutions for sustainable novel food processing (H2020-SFS-2014-2, 2014)
Start date: 2015-03-01
End date: 2018-02-28
Duration (months): 36.0
Total project cost (EUR): 2314375.0
EU funding (EUR): 2159275.0
Participants: 10
Project status: CLOSED

The main objective of i³-Food is the implementation of 3 prioritised innovative food processing technologies by validation of optimum process control under industrial conditions: 1. Pulsed Electric Field preservation (PEF-P) of liquid food products (TRL 7-8); 2.High pressure thermal sterilization (HPTS) (TRL 6-7) and 3. Low shear extrusion of cold food products (TRL 6). A congeneric set of both technical (missing online sensors) and process conditioned bottlenecks (missing application of HACCP concept) does exist which hinders their uptake by industry and in the market. Therefore, optimum process control will be achieved in i³-Food leading to application under real life operating conditions by demonstrating and piloting in a near to operational environment of applicable validation systems for each technology. 6 well selected industry partners, thereof 4 SMEs, strongly support the approach and contribute as technology provider or technology applicant. For rapid and easy market uptake an analysis of the innovation environment and identification of opportunities will be performed (phase 1) as well as road-mapping for market penetration per technology (phase 2). This integrated approach will provide maximal synergies in between the 3 technologies. Application opportunities beyond the known use cases will be explored. A scientific and cutting edge strategy for overcoming the market barriers ensuring rapid and maximum market uptake will be defined. A clear description of possible applications and potential benefits will serve as an excellent basis for the dissemination activities. i³-Food will extremely benefit from results of national, trans-national and European projects. S&T project partners of i³-Food have outstanding expertise in the field of PEF, high pressure and extrusion application as well as high competences in system and innovation research. Thus, the multidisciplinary endeavor will connect and amplify the EU strengths in advanced technologies research.

Keywords: pulsed electric field technology,high pressure technology,extrusuion technology,market studies
Enable Ancillary Services bY Renewable Energy Sources (EASY-RES)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Germany,Germany,Germany,Germany,Greece,Slovenia,Greece,Netherlands,United Kingdom
Call: Developing the next generation technologies of renewable electricity and heating/cooling (H2020-LCE-2017-RES-RIA-TwoStage, 2017)
Start date: 2018-03-01
End date: 2021-12-31
Duration (months): 46.0
Total project cost (EUR): 4562357.5
EU funding (EUR): 4562357.5
Participants: 12
Project status: CLOSED

The stability and security of the traditional electrical power systems is largely based on the inherent properties of synchronous generators (SGs). Such properties are: the grid-forming capability, the inertia, the damping of transients, and the provision of large currents during faults. The growing penetration of converter-interfaced (thus inertia-less) Distributed Renewable Energy Sources (DRES) will eventually replace dispatchable SGs and increase power volatility, causing large frequency deviations and voltage regulation problems. The increase of SG spinning reserves, the grid reinforcement and the use of central electric energy storage systems are some solutions proposed to tackle this problem. However, due to their centralized approach and high cost, these actions can be undertaken only centrally by TSOs and DSOs. By adopting a unified bottom-up approach, EASY-RES will develop novel control algorithms for all converter-interfaced DRES, to enable them to operate similarly to conventional SGs, providing to the grid inertia, damping of transients, reactive power, fault ride through and fault-clearing capabilities, and adaptable response to primary and secondary frequency control. These new functionalities will be transparent to all grid voltage levels. The EASY-RES approach is based on the distribution network segmentation into small Individual Control Areas, where the DRES and properly sized storage systems will be optimally coordinated via suitably designed ICT infrastructure to provide Ancillary Services (AS) such as inertial response, reactive power support, power smoothing, and contribution to fault-clearing in a bottom-up approach: prosumers and independent RES producers to DSOs, and DSOs to TSOs. By evaluating the costs and benefits of the developed functionalities, viable business models will be developed for the aforementioned stakeholders. Finally, modifications to the existing grid codes will be suggested for the implementation of the developed AS.

Keywords: electricity ancillary services,grid stability,voltage regulation,inertia,frequency response,fault protection,res penetration,fast energy storage,microgrid,fault ride through,power smoothing
Dissecting specific amygdala-striatal circuits for exploration (DASCE)

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: Portugal
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 148635.6
EU funding (EUR): 148635.6
Participants: 1
Project status: CLOSED

Survival and adaptation are dependent on an animal's ability to gain novel information in unfamiliar surroundings. Similar to other animal classes, mammals must use a variety of innate and learned exploratory strategies that are dictated by unpredictable or unknown circumstances. As the combination of emotional processes and planning of complex actions are essential for the development of such strategies, it can be hypothesized that strongly connected brain areas involved in emotions (the amygdala) and goal-directed behaviors (the dorso-medial striatum) have an implication on exploratory behavior. The intricate neuronal nature and brain area specificity in the controlling of such strategies, however, remain elusive. In order to functionally uncover the role of specific amygdala-striatal long-range projections in freely-exploring mice, our collaborative study will adopt a multidisciplinary approach by a) developing a multiple-compartment behavioral task to study the exact evolution of exploratory strategies in a novel environment starting from a familiar one, b) examining the neuronal encoding of amygdala-striatal projecting neurons during exploratory progression using a novel calcium imaging technique in freely-moving animals, and c) causally relating the role of pre- and post- neuronal ensembles to exploratory strategies applying a projection-specific optogenetic approach. Furthermore, the proposed project will employ state-of -the-art techniques to reveal the fine computational mechanism used by animals to explore their surroundings and to determine the neuronal encoding specific to brain-, cell- and projection-types. Our research will be beneficial not only for understanding the role of defined circuitries in behavioral variability caused by unpredictable circumstances and the ability to overcome these through the knowledge gained from past experiences, but also for the finding of a cure for complex psychiatric disorders including anxiety and depression.

Keywords: exploratory behavior,amygdala,striatum,neuronal activity
GENetic diversity exploitation for Innovative macro-ALGal biorefinery (GENIALG)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: Innovation actions
Countries involved: Ireland,Ireland,Norway,France,France,France,France,Netherlands,United Kingdom,Portugal,United Kingdom,Portugal,United Kingdom,United Kingdom
Call: Large-scale algae biomass integrated biorefineries (H2020-BG-2016-1, 2016)
Start date: 2017-01-01
End date: 2021-06-30
Duration (months): 54.0
Total project cost (EUR): 12222362.51
EU funding (EUR): 10883942.26
Participants: 21
Project status: CLOSED

The GENIALG project aims to boost the Blue Biotechnology Economy (BBE) by increasing the production and sustainable exploitation of two high-yielding species of the EU seaweed biomass: the brown alga Saccharina latissima and the green algae Ulva spp. GENIALG will demonstrate the economic feasibility and environmental sustainability of cultivating and refining seaweed biomass in multiple use demanded products of marine renewable origin. The consortium integrates available knowledge in algal biotechnology and ready to use reliable eco-friendly tools and methods for selecting and producing high yielding strains in economically feasible quantities and qualities. By cracking the biomass and supplying a wide diversity of chemical compounds for existing as well as new applications and markets, GENIALG will anticipate the economic, social and environmental impacts of such developments in term of economic benefit and job opportunities liable to increase the socio-economic value of the blue biotechnology sector. In a larger frame, conservation and biosafety issues will be addressed as well as more social aspects such as acceptability and competition for space and water regarding other maritime activities. To achieve these objectives GENIALG will foster a trans-sectorial and complementary consortium of scientists and private companies. • GENIALG will involve a diversity of private companies already positioned in the seaweed sector individually for different applications (texturants, feed, agriculture, bioplastics, pharmaceuticals, personal care products…) in order to strengthen interactions for developing a bio-refinery concept and accelerate efficient and sustainable exploitation of seaweed biomass to bring new high-value products on the market.

Keywords: high yielding seaweeds,large scale aquaculture,imta,biorefinery,marine enzymes,market validation,sustainability,social acceptance