Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Apollo: developing a powerful and easy to use platform for choice model estimation and application with full user-customisation (Apollo)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2020-02-01
End date: 2022-07-31
Duration (months): 30.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Mathematical models of human decision making are a widely used tool for advising policy makers and industry by making predictions of future demand for products and services. The reliability of the predictions depends on the robustness of the underlying mathematical models. A very active field of academic research is concerned with the refinement of existing model structures and the development of new approaches. Over the last two decades, fuelled by the availability of ever more powerful computing resources, there has been a major step change in the mathematical complexity of these models. However, the vast majority of real world users of choice models, and also many academic users, lack a programming background. This means that most users are restricted to those models which are covered in existing software, and models developed by analysts who lack programming skills fail to be used in practice. A core output from the ERC-CoG grant DECISIONS (615596) has been the development of the Apollo package. Apollo is a powerful open source solution for the estimation and application of choice models. The current PoC proposal seeks to fully explore the innovative research that led to the development of Apollo and to take the first steps in establishing Apollo as a next generation tool for choice modelling, with full customisation possibilities including for inexperienced users. We propose to make changes to the existing implementation of Apollo to provide users with an easy to use template for developing code and to create a system for testing user-developed functions for new models, standardise the code used in them, and incorporate them in releases of new versions of Apollo to make them available to other users. In addition, we propose to introduce a pay-to-program service where users can pay to have new features developed. These features will be released to all users after an embargo period during which they are limited to the user who paid for their development.

Keywords: choice modelling,software,freeware
Optical Interrogation of Hippocampal Dentate Granule Circuit Dynamics in Health and Disease (Circdyn)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Switzerland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

Understanding the cellular and synaptic basis of memory remains a central goal of modern neuroscience. Physical traces of memory exist as an enduring, experience-dependent change in neural activity in response to learning. In the hippocampus, a key region of the mammalian brain involved in memory formation and recall, new neurons are continually generated in the dentate gyrus (DG) where they form an integral part of the existing functional circuitry. Despite its key position in the hippocampal formation, however, the function of DG and its adult-born neurons in vivo has not been carefully investigated. Here, by applying transgenic and optogenetic approaches – including multicolour genetically encoded activity reporters – together with longitudinal two-photon imaging, we aim to study functional dynamics and plastic changes in DG in health and disorder. We propose that activity patterns in DG cell populations show activity-dependent changes during learning and construct a cellular and circuit basis for contextual memory engrams. We will also investigate how synaptic alterations in excitation-inhibition balance and defects in adult neurogenesis in DG lead to neurological disorders such as Rett syndrome.

Keywords: neural circuit,two photon imaging,cell types,hippocampus,rett syndrome,calcium imaging,mecp2
Self-Assembled MicroCAPSules: Synthesis, Characterization, and Eco-friendly Application in Home Care Products (SAMCAPS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Italy,Italy,Belgium
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-10-01
End date: 2022-09-30
Duration (months): 48.0
Total project cost (EUR): 1035639.36
EU funding (EUR): 1035639.36
Participants: 4
Project status: CLOSED

SAMCAPS is a high-quality research program that aims to train young professionals in the field of colloid and polymer science through the collaboration between top-level European academic and industrial entities. The goal of the project is to address the current need for bio-degradable materials and efficient consumer goods usage, by exploiting new eco-friendly materials and methods of encapsulation that will be applied in home- and beauty care consumer products where the targeted delivery of beneficial actives is required. In this way, SAMCAPS tackles the challenge of the chemical industry, as a response to international undertakings such as the Paris Climate Act and the Europe 2020 policies for smart, for sustainable and effective chemical use driving the growth of the industry. This program will contribute to a resource-efficient Europe, by the development of highly qualified scientists, experts in the needs chemical industry of tomorrow, by design of highly effective and functionalized materials through green methods, and efficient use of materials by encapsulation and targeted delivery of benefit agents in a broad variety of consumer good products. The ground-breaking and environmentally sustainable technologies developed through the exchange of knowledge between industry and academia will thereby translate into economic and societal value.

Keywords: capsules,biodegradable materials,consumer goods,soft matter capsules,characterization of solid matter,controlled release,modelling,encapsulation,cosmetics
Rapid Biomechanics Simulation for Personalized Clinical Design (RAINBOW)

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: Spain,Germany,Spain,France,Denmark,United Kingdom,Luxembourg,Denmark,United Kingdom,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-04-01
End date: 2022-03-31
Duration (months): 48.0
Total project cost (EUR): 4013444.88
EU funding (EUR): 4013444.88
Participants: 15
Project status: CLOSED

Clinical experts make design decisions on treatments, interventions, or on devices. ICT empowers them with patient-specific simulation models that enable better-informed design decisions. But patient-specific computational medicine is currently cumbersome, slow, and unintuitive; it relies on complex processing by technical experts, and it is hence far from reaching its full potential on clinical design, and scarcely used. RAINBOW envisions next-generation biomechanics simulation and optimization tools for personalized clinical design that are rapidly setup for a particular patient, have a fast learning curve, are easy-to-use by clinical experts, and do not require intervention by a technical team. Research objectives entail automated processing of patient data; automated setup of representations and parameters, capability to manage variance across patients; robust and accurate simulation as a latent part of design tools; and fast optimization methods that allow intuitive exploration of the design space. Novel computational methods will be created to reach the objective of rapid biomechanics simulation. RAINBOW will apply research solutions for diagnosis, prognosis, monitoring, surgical training, planning, guidance, design of prosthetics, implants, and medical devices, and will address health conditions such as osteoarthritis, scoliosis, hearing impairment, cardiovascular diseases, obesity etc. RAINBOW has 5 excellent academic participants: UCPH (medical imagine, machine learning), URJC (data-driven modeling), UL (computational mechanics), CARDIFF (model reduction), AAU and one hospital HH (bone modeling) and 8 industries 3Shape (prosthesis), Kitware (imaging), Insimo (surgical simulation), GMV (eHealth), Simpleware (CAD/CAE), inuTech (numerics), Anatascope (Patient specific modeling) and Next-Limit (CFD). This combined expertise will ensure diverse impact and training of highly qualified individuals.

Keywords: software platforms,biomechanics,optimization,data driven individualized simulation
Future Recycled Inert Concrete Made of Steelworks Residues (FuRIC)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Italy
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-11-01
End date: 2018-03-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Natural aggregates are considered to be the best material used for the concrete production, in terms of mechanical performance (rigid skeleton structure) and cost efficiency of the final product. However, they are struggling to comply with the EU target (Directive 2008/98/EC) of 70% of C&DW to be recycled/recovered by 2020. They still are a natural resource, being directly deducted from nature, with collateral environmental and financial impacts. Hence, the concrete construction industry is in need of more sustainable and of reduced cost alternatives, willing to welcome at the same time an enhanced density product to be used in specific projects (harbor, seaside defense, etc.). Moreover, the steel industry needs cost-efficient solutions to treat its residues. PATERLINI, with more than 100 years of experience in the industrial, commercial and residential construction, has been working on an innovative solution to face those challenges. FuRIC is a pioneering technology of green concrete, replacing the natural aggregate with recycled steelwork waste residues. In this way, we create a final concrete product made of up to 100% recycled material, maintaining the same structural performance, but with enhanced density (20% increase), at a lower final selling price (at least 50%). Also, our innovative product will contribute to decrease the environmental and financial impact of transporting and extracting natural aggregates (up to 40% reduction). The overall aim of FuRIC is to commercialize a new generation of ‘’green’’ concrete, at a lower production cost that will reduce the environmental impact and the industry’s dependency on natural resources. Through this project, PATERLINI aims to boost its competitiveness, reaching overall revenues of €12.41 million after the fifth year of commercialization, and creating at least 30 new job positions. With a total investment of €1 million, this would imply a ROI of 3.58.

Keywords: steelwork recycling,concrete manufacturing,sustainable construction
Battery DEsign and manuFACTuring Optimization through multiphysic modelling (DEFACTO)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Germany,Germany,Germany,Greece,Belgium,France,France
Call: Li-ion Cell Materials & Transport Modelling (H2020-LC-BAT-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 5988318.75
EU funding (EUR): 5988318.75
Participants: 13
Project status: SIGNED

The DEFACTO project rationale is to develop a multiphysic and multiscale modelling integrated tool to better understand the material, cell and manufacturing process behaviour, therefore allowing to accelerate cell development and the R&I process. This approach will allow developing new high capacity and high voltage Li-ion cell generation 3b battery. This will increase the understanding of multiscale mechanisms and their interactions, reducing the R&D cell development resources, therefore unlocking an innovation-led cell manufacturing industry in Europe. The validated computational simulations will be a powerful tool to (i) tailor new optimum cell designs, (ii) optimise manufacturing steps of electrode processing and electrolyte filling, and (iii) shape new generation 3b materials. This work will be based on an iterative exchange process for model development, validation and optimisation using two cell technologies for the automotive market: a commercial NMC622/G cell taken from the product portfolio from one of the DEFACTO partners and last generation prototypes (NMC811/G-Si). Characterisation tests will provide data for model development and validation, and for gaining understanding on ageing mechanisms. Sensitivity analysis will demonstrate model robustness and reduce the number of experiments needed during cell development. The optimization algorithms will enhance cell performance and durability through optimised designs and manufacturing processes. The novel fast-track cell development procedure achieved will be further extended to LMNO/G-Si prototypes. In parallel, the set of individual multiscale and multiphysic models will be compiled in an open-source simulation tool, including mechanical and electrochemical ageing with outstanding accuracy at reasonable computational cost. The project consortium, which covers the whole cell manufacturing value chain, has the required experience to ensure a smooth and high-quality delivery of the outcomes of the project.

Keywords: modelling,analytical tools
Integration of III-V Nanowire Semiconductors for next Generation High Performance CMOS SOC Technologies (INSIGHT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Ireland,Germany,Switzerland,Sweden,France,United Kingdom
Call: Generic micro- and nano-electronic technologies (H2020-ICT-2015, 2015)
Start date: 2015-12-01
End date: 2019-05-31
Duration (months): 42.0
Total project cost (EUR): 4244996.25
EU funding (EUR): 3524433.75
Participants: 6
Project status: CLOSED

Overall objective: to enhance advanced CMOS RF and logic capability through the use of III-V heterostructure nanowires monolithically integrated on a silicon platform. INSIGHT will focus on: -Development and evaluation of the performance of silicon based, 94 GHz III-V nanowire MOSFET low-noise amplifiers. The technology opens a path for cost reduction of key mm-wave components for high bandwidth wireless applications. -Development of III-V nanowire MOSFETs on Si with breakdown voltage of 6 V, and evaluation of their performance in millimeter wave (90 GHz) power amplifier circuits. These devices will increase output power available from Si CMOS compatible mm-wave technologies with benefits for transceiver range and sensitivity. -Realisation of basic building blocks for future RF-circuits including mixers, Voltage-Controlled Oscillators, and frequency dividers for prescalers using silicon based III-V nanowire MOSFETS. -Development of science and technology for all-III-V nanowire CMOS on silicon targeting future technology nodes for 10 nm and below. This will be validated by the implementation and dynamic characterisation of a flip-flop as demonstration of the co-integration of III-V n- and p-type nanowire MOSFETs. INSIGHT is a strong consortium consisting of 7 partners with complimentary and well-documented experience in III-V MOS technology and millimeter-wave circuit design and implementation. Our main outcomes include : a)Technology toolbox including, materials, processes and integration for III-V n- and p-channel MOSFETs on a silicon platform, b) III-V nanowire MOSFET RF-transistor technology, c) Circuit design library, d) Circuit demonstrators with a clear technology path towards higher TRLs and commercialization. Our vision is to use III-V nanowire CMOS technology for millimeter-wave applications in a System-on-Chip approach, combining RF- and logic on one Si chip. Additionally, applications for logic at the 10 nm node and beyond are foreseen.

Keywords: nanowires,iii v cmos,millimeter wave,itrs
The next generation of Hybrid Concentrating Solar Power Plants (TENCENT)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Israel
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-08-01
End date: 2015-10-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Brenmiller Energy has developed a unique 50kW Concentrating Solar Power pilot plant which final aim, after upscaling it, is to become the most innovative and cost-effective available technolgy to harness the power of the Sun and convert its energy into electricity at a price of 10€cent/kwh. The TENCENT project is made out of three main blocks that constitute the basic unit of 1.5MW called bCell. These three blocks collect the sun radiation through patented i)tube collectors filled in with a novel ii)Heat Fluid Transfer which will take the heat to an exclusive iii)Energy Center that will distribute or store the energy generated in the form of >500ºC. The generated heat will actuate a power turbine that will generate clean energy 24/7. Brenmiller Energy will access over 30 countries to participate in national power tenders hand by hand with Gestamp Renewables and expect to generate a turnover over 1,000M€ over the firsr five years of commercialization. The TENCENT project constitutes a breakthrough in the path to a cleaner, safer and more fair future for Europe and the world.

Keywords: collectors,heat transfer fluid,solar power,thermo solar,sunbelt countries,grid parity,10 cent,energy center,solar energy
Reusable Laundry Detergent (ReLaDe)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Estonia
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-05-01
End date: 2017-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

ReLaDe, an Estonian SME, is developing a reusable laundry washing system, based on novel utilization of enzymes. The ReLaDe innovation has the potential to completely replace the current hazardous detergents and bring disruptive innovation into a market that has been in technological standstill for decades. The innovation will reduce the environmental impact of doing laundry by cutting CO2 emission, decreases the amount of chemical pollutants in wastewater, improve people’s health and offer a novel concept for uptake of nanotechnology by reusing enzymes. Although enzymes are biodegradable and environmentally harmless they are currently just one of many ingredient in detergent formulas, which are still dominated by toxic and harmful chemicals. The core innovations relies in conjugation of enzymes to magnetic nanoparticles. The method, so far used in science and pharmaceutics, results in complex enzyme properties – a biological activity and magnetic functionality. ReLaDe´s innovative immobilization of the bioactive compound to a solid particle significantly increases enzymes stability and activity. Moreover, the magnetic functionality enables the recovery and reuse of the enzyme to make full use of its potential as only a fraction is exploited in solutions currently on the market. ReLaDe conducted tests suggests that one load of biological enzyme laundry agent could be used in one household approximately for 12 months until additional agents are required to be added. ReLaDe´s innovation has already gained global attention by winning third price in world´s largest cleanteach business idea competition. ReLaDe innovation development has reached TRL 6. The specific objectives of the project are business plan development, partner search and testing of the enzyme recollection device.

Keywords: enzyme based washing system,nanotechnology,reusable detergent
Empirical evidence on the impact of the labour market on the production of healthcare and health (HealthcareLabour)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: United Kingdom,United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 1487747.5
EU funding (EUR): 1412767.5
Participants: 2
Project status: SIGNED

What determines the quality of public services? How do shocks to the economy affect the delivery of public services? Why is there such variation in the efficiency of public service providers and how does this affect those who use their services? My aim is to make a fundamental contribution to our understanding of the labour supply behaviour of public service providers and the impact of their behaviour on the quality and distribution of critical outcomes. To achieve this I will primarily focus on the healthcare sector. The importance of the healthcare sector to social wellbeing, the existence of shocks that create ‘natural’ experiments, and the availability of large administrative datasets makes the healthcare market the ideal test-bed. Further, understanding how labour markets in healthcare operate is crucial for public expenditure and central because society cares about the output produced. I will adopt two broad approaches. The first is to examine the micro-foundations of behaviour for critical agents. The second is to examine the effect of policy and macro shocks to the economy on the reallocation of labour within, and between, healthcare and other sectors. In all cases my focus is on understanding labour supply responses and how these impact on the level and distribution of critical outcomes in society. The ideas are applicable to all labour markets characterised by high levels of investment in human capital and where market failures mean society cares about the outcomes. My research will contribute to the fields of labour and health economics. My research will also inform the development of policies to increase the uptake and spread of medical innovation, increase the quality of the medical labour force and improve the design of healthcare systems.