Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A stem cell-based approach for modelling implantation in vitro (IMPLANTATION)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 174167.04
EU funding (EUR): 174167.04
Participants: 1
Project status: SIGNED

The first physical contact between the embryo and the uterus is a complex and timely coordinated process, which is crucial for positive pregnancy outcome. During that process of implantation, the embryo attaches and invades to nest into the uterus. Managing embryo implantation has wide implications for public health, including treating infertility (e.g., improving IVF outcomes) and for family planning (improving contraception). However, the tiny size of the embryo and inaccessibility into the womb make implantation a true black box in developmental biology. Three technological breakthroughs, i.e., single cell sequencing, endometrial organoids and blastoid technologies, now made it possible to deeply and finely investigate implantation. Here, I aim at leveraging these technologies to create a stem cell-based platform to model the blastocyst-uterus interaction and to reveal molecular mechanisms mediating implantation. This platform will be amenable to high-throughput screening, gene editing, and live imaging, to identify the molecular regulators of implantation. If successful, this study will provide a biologically relevant, easily accessible and experimentally amenable system to perform in-depth studies with scientific and clinical impacts to understand and potentially treat conditions such as infertility, reproductive decline, develop novel contraceptive and in the long term, to develop drugs to improve reproductive health and prevent several chronic diseases.

Keywords: infertility,implantation,endometrium,organoid,blastoid
Waste Heat Recovery Through Near-Field Thermophotonics (TPX-Power)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Finland,France,France,Netherlands
Call: FET Proactive: emerging paradigms and communities (H2020-EIC-FETPROACT-2019, 2019)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 3423001.25
EU funding (EUR): 3423000.75
Participants: 6
Project status: SIGNED

Waste heat generated by industry, transport, data processing and other energy intensive processes form enormous energy streams that is typically hard to exploit despite their abundancy. In most cases the low-to-medium exhaust temperaturess of the processes make energy re-harvesting challenging with presently available technologies using expensive and bulky mechanical turbines or the emerging solid state thermophotovoltaic (TPV) or thermoelectric (TE) systems. In WASTE-NET we aim to demonstrate a new disruptive approach to thermal energy recovery, ideally allowing a large power density and a competitive energy harvesting efficiency even for low temperature energy streams. The approach harnesses the thermodynamics of electroluminescence (EL), near field (NF) photon transport and photovoltaic (PV) energy production to convert the very recent advances in intracavity thermophotonic (TPX) cooling into a new heat engine technology. The NF TPX heat engines use the superthermal emission from an electrically excited light emitting diode (LED) heated by waste heat, to illuminate a PV cell kept at ambient temperature. This configuration can enable a substantial performance boost compared to existing technologies. To access this potential we build a multidisciplinary consortium providing access to the complementary expertise needed to combine the necessary elements from LEDs, solar cells and NF physics. If successful, WASTE-NOT can demonstrate and set on motion the development of a cost- and power-efficient heat energy harvesting technology with unprecedented possibilities throughout the sectors where waste heat is produced. At best the technology could nearly double the efficiency of combustion engines and provide a pollution free energy source substantially improving the process efficiency of any waste heat producing process, effectively providing a negative-emission energy source.

Keywords: thermophotonics,light emission,thermophotovoltaics,heat engines,iii v semiconductors
Separation Technology for A Million Peaks (STAMP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 2499780.0
EU funding (EUR): 2499780.0
Participants: 1
Project status: CLOSED

Extremely high separation powers are required to fully characterize complex mixtures that are of crucial importance in many fields, such as life science (including systems biology), food science, renewable energy sources and feedstocks, and high-tech materials. The STAMP project is aimed at obtaining a peak capacity of one million in liquid-phase analytical separations. Spatial three-dimensional liquid chromatography will be used to achieve this goal. The major advantage of this technique is that all second-dimension separations and – in a next step – all third-dimension separations are performed in parallel. This allows high-resolution separations to be performed in each dimension, while the total analysis time remains reasonable. Optical and mass-spectrometric imaging techniques are envisaged as detection methods after printing (STAMPing) the effluent from the 3D separation body on a suitable substrate. The STAMP project also has a number of sub-targets that will bring additional significant benefits to all the above application fields. The target and the sub-targets of the STAMP project may be summarized as follows. • Separations with a peak capacity of 1,000,000 (through the use of spatial 3D-LC) • Fast and efficient spatial 2D-LC separations • Devices for spatial 2D-LC and 3D-LC • Detection principles for spatial 2D-LC and 3D-LC • Suitable stationary-phase materials and mechanisms for orthogonal 2D and 3D separations • Relevant applications of all of the above in various fields of science.

Keywords: liquid chromatography,analytical separation science,multi dimensional separations
TRANSAFELOAD: Testing the real behaviour of packaged loads during transport (TRANSAFELOAD)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Spain
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-06-01
End date: 2016-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Pallets are the standard unit for load and transport since they enable efficient handling and storage of goods. Merchandise is placed on a standardized structure (pallet) and wrapped with film to ensure rigidity and stability of goods during shipping. Currently, optimizing the packaging of pallets is a delicate issue: over-packaging leads to extra costs (around 30% extra material is user to ensure the packaging integrity during transport) while defective packaging induce safety hazards and economic losses valued at € 50000 million/year worldwide. The European concern about safety during transportation of goods is reflected in the 2014/47/EU directive, which will oblige all the agents involved during the freight shipping including the load packagers) to take responsibilities on security matters by 2017. Transafeload is the first solution able to simulate the real behaviour of packaged loads up to 2 Ton during transport enabling optimizing packaging costs and ensuring safety issues related to directive.: Transafeload is the first European testing equipment able to simulate the real effect of vibrations, drops and lateral forces on packaging during transportation. Our testing equipment is able to: a) Reproduce the real vibrations experienced by packaging during transport thanks to a patented pitch and roll mechanism B) Assess the effect of horizontal accelerations/decelerations and impact according to all the current worldwide standards, C) Testing drop resistance in an accurate way for heavy loads. Transafeload provides goods’ manufacturers with a tool for reducing losses of goods due to defective packaging as well as reducing the amount of packaging material used and increasing safety during cargo shipment.

Keywords: packaging optimization,safe transport,vibration,drop,impact,pallet
Europe's Transformation: Where People Matter (EUtrsfWPM)

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: Coordination and support actions
Countries involved: Austria
Call: Presidency event (conference): 'Europe's Transformation: Where People Matter' – Austria, November 2018 (H2020-IBA-SC5-Presidency-2017, 2017)
Start date: 2018-03-01
End date: 2019-01-31
Duration (months): 11.0
Total project cost (EUR): 200000.0
EU funding (EUR): 200000.0
Participants: 1
Project status: CLOSED

The project will organise the presidency event (conference) “Europe’s Transfomation: Where People Matter” in Vienna, Austria, November 2018. It encompasses the operational and strategic work required to host this event, including Innovation and Content Management (e.g. collaboration with stakeholders to jointly design the conference programme); the Conference Logistics (e.g. organising a venue and the registration process); and Dissemination and Exploitation of the conference outcomes (e.g. setting up a conference website and collaborating with media). With regard to the wider context of the UN's Sustainable Development Goals, the overall aim of the conference is to foster an improved synergy between pertinent initiatives launched by the Commission and by the Member States, to the benefit of the overall coherence of actions within the field of research and innovation in the areas covered by Societal Challenge 5.

Keywords: presidency event,sustainability,environment,stakeholders,development,sdgs
Thrombo-inflammation in cardiovascular disease (TICARDIO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Joint Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Germany,Germany,Germany,France,Netherlands,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-04-01
End date: 2023-11-30
Duration (months): 56.0
Total project cost (EUR): 3659126.35
EU funding (EUR): 3659126.3499999996
Participants: 10
Project status: SIGNED

The demographic change with aging populations places a heavy burden on health care systems worldwide. Despite all medical advances, age remains the major risk for cardiovascular disease (CVD), one of the top two killers. The aging vasculature provides an environment in which the finely tuned interplay between diverse cell types becomes disarrayed and thus fosters both, inflammation and thrombosis. For atherosclerosis and major vascular complications, i.e. myocardial infarction and stroke, inflammation and thrombosis are central pathological processes that have commonly been investigated independently, but now need integration within the new concept of 'vascular thrombo-inflammation'. Four beneficiaries have formed a strategic alliance to unravel the multifaceted mechanisms involved in thrombo-inflammation in the setting of CVD and identified interconnected research projects that benefit from the collaboration between outstanding centres in France, Germany and The Netherlands. Using unique and complementary advanced technologies, TICARDIO will dissect the mechanistic linkages between inflammation and thrombosis, investigate the multicellular interactions in the vasculature as drivers for thrombo-inflammation, and translate new concepts by multi-omics approaches into patient populations. The programme will train the next generation of basic and translational researchers by exposing them to a multidisciplinary research environment at major academic centres and a range of entrepreneurial and business settings at small and large pharmaceutical companies in Europe. The completion of an independent project in a research area with high unmet medical need will foster the development of creative, open minded and broadly knowledgeable biomedical researchers who are competitive for successful academic and company careers all over Europe. TICARDIO’s structures and interactions will serve as a blueprint for future training programmes in emerging fields of cardiovascular medicine.

Keywords: coagulation,thrombosis,extracellular vesicles,proteomics
A diagnostic tool for endometritis in cows, based on a portable automated image recognition software (Better Dairy)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Endometritis is a curable uterine infection that is highly prevalent in cow farms affecting approximately 30% of cows per year, with up to 70% incidence in some herds. A farm with just 1,500 cows and with a typical incidence rate of 30% has a loss of up to €146,000 a year due to the costs associated with endometritis. Current solutions are slow, expensive, require specialized personnel and have low reliability (53%). Oculyze offers Better Dairy, an automated image recognition tool leveraging a proprietary smart algorithm using a smartphone-based microscope and a sampling kit for the diagnosis of subclinical endometritis in cows. The diagnostic tool can be easily used by anyone without professional training. It does not require expensive equipment or lab testing, just a regular smartphone. Better Dairy makes laboratory testing an easy and affordable task. During the feasibility assessment, a minimum viable product will be defined, a go-to-market strategy and a supply chain will be established, as well as further development plan will be drafted. Within the overall project, Oculyze seeks to finalize the design of the Better Dairy, upgrade the recognition software, transfer the production line to a CMO and validate the performance through pilot with 2 cattle farms.

Keywords: endometritis,veterinary,cows,smartphone,microscope,automated image recognition system
Molecular Magnetic Materials Based on Nanographenes: Controllable Synthesis and Characterization (MolecularMAGNET)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-08-01
End date: 2022-07-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Molecular magnets based molecular spintronics, in which properties of bulk magnetic materials and molecular quantum effects coexist, have received a lot of attention, with potential applications in molecular spin detection and manipulation for information storage and the realization of spin qubits for quantum computing. But, the field has been struggling with limited candidates, and there is a constant searching for new materials. Recently, nanographenes, including graphene molecules (GMs) and graphene nanoribbons (GNRs) have displayed great potential in the application of electronics. The combination of nanographene with spin-bearing centers has been proved to be an effective way to construct novel molecular magnetic materials. However, to achieve reliable structure-property correlations and desired functions, control of the nanographene structure at the atomic level is required. This goal can be realized through bottom-up syntheses starting with rationally designed molecular precursors. The primary objective of this project is using bottom-up synthetic approach to efficiently realize radical functionalized GMs and GNRs with defined structures, to systematically investigate the impact of their size and configuration on the behaviour of spin (multidisciplinary), and finally to reveal the intrinsic mechanism of spin-injection and interaction in molecular magnetic materials based on nanographenes (interdisciplinary). This project will create an excellent opportunity for me to build upon my own expertise in bottom-up synthesis of graphene molecules possessing atomically precise structures with the Prof. Bogani group’s experience in the research of magnetic and electronic properties of nanocarbon materials.

Keywords: nanographene synthesis,radical spins,magnetic edge states,quantum spintronic devices
Science and technology for the explanation of AI decision making (XAI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Italy,Italy
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-10-01
End date: 2025-09-30
Duration (months): 72.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 915500.0
Participants: 3
Project status: SIGNED

A wealthy friend of mine asks for a vacation credit card to his bank, to discover that the credit he is offered is very low. The bank teller cannot explain why. My stubborn friend continues his quest for explanation up to the bank executives, to discover that an algorithm lowered his credit score. Why? After a long investigation, it turns out that the reason is: bad credit by the former owner of my friend’s house. Black box AI systems for automated decision making, often based on ML over (big) data, map a user’s features into a class or a score without explaining why. This is problematic for lack of transparency, but also for possible biases inherited by the algorithms from human prejudices and collection artefacts hidden in the training data, which may lead to unfair or wrong decisions. I strive for solutions of the urgent challenge of how to construct meaningful explanations of opaque AI/ML systems, introducing the local-to-global framework for black box explanation, articulated along 3 lines: a) the language for explanations in terms of expressive logic rules, with statistical and causal interpretation; b) the inference of local explanations for revealing the decision rationale for a specific case; c), the bottom-up generalization of many local explanations into simple global ones. An intertwined line of research will investigate both causal explanations, i.e., models that capture the causal relationships among the features and the decision, and mechanistic/physical models of complex system physics, that capture the data generation mechanism behind specific deep learning models. I will also develop: an infrastructure for benchmarking, for the users' assessment of the explanations and the crowdsensing of observational decision data; an ethical-legal framework, for compliance and impact of our results on legal standards and on the “right of explanation” provisions of the GDPR; case studies in explanation-by-design, with a priority in health and fraud detection.

Keywords: automated decision making,black box models,machine learning,data mining,statistical,logic,rules,rule learning,transparency,right to explanation,participatory platform
Transitioning to microalgae as a sustainable, high-quality large-scale food source through launching the first daily drink containing spirulina (Springwave2014)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: France
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2014, 2014)
Start date: 2015-02-01
End date: 2015-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

To meet the challenges of growing world food consumption, environmental preservation and sustainable food production, spirulina has been identified as an extremely valuable solution by many international bodies. However, this microalgae is still a largely underutilised food resource. The reasons are organoleptic (foul taste and smell) and, most importantly, cultural (algae are not part of the Western culinary art). To eliminate organoleptic barriers, ALGAMA brings a strong innovation by extracting high-quality nutrients from microalgae. To overcome cultural resistance, ALGAMA wants to create consumer awareness through an appealing mass-market product: “Springwave”, the first daily drink containing high-quality spirulina nutrients. This first product will be followed by a large variety of spirulina-based food products. User needs to be met upon completion of the project are the trends (and societal challenges) health and well-being. Consumers are increasingly concerned with the nutritional properties of their food, but also that the food is natural and sustainable. Other user benefits are taste, texture similar to water and the ready-to-use approach. The feasibility study will assess 3 key levels: 1. Commercial: Define strategy for mass-market expansion in France, UK, Germany, Netherlands and Sweden 2. Industrial: Analyse and decide on environment-friendly model to increase production capacity from 15 000 to 1 000 000 bottles per year 3. Legal: Identify legal and IP issues for the launch of Springwave outside France For mass-market commercialisation of our spirulina-based beverage, total funding requirement during 2 years for Phase 2 is estimated at € 3 300 000. After testing its beverage in France, ALGAMA intends to expand in Northern Europe (UK, Germany, Netherlands and Sweden) where the health awareness is strongest and the functional product consumption highest, before entering into the first two biggest functional beverage consumption markets: USA and Japan.

Keywords: microalgae,spirulina,eco food