Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
INVENTORY: Unique Online B2B Marketplace for Industrial Products (INVENTORY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Estonia
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-08-01
End date: 2017-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Intral AS is an Estonian SME providing SaaS (Software as a Service) solutions for wholesale and retail inventory management and e-commerce solutions with the brands ERPLY and Shoproller. We have been established in 2000. The company brings together a strong team of serial entrepreneurs and industry experts. We provide point-of-sale services to approximately 410 000 customers from nearly all countries with key clients like Sony, Walt Disney, Garmin, United Nations and BMW. ERPLY was selected as a winner of Seed Camp in 2009, highlighted as a start-up to watch by Wall Street Journal and RWW in 2010. The total revenue including firms related to owners was €10.5 million in 2014. ERPLY raised $2 million in funding in 2010 from Redpoint Ventures and Index Ventures. INVENTORY is a business model innovation project with the objective to create the first online business-to-business marketplace for manufacturing SMEs, which connects industrial companies with new clients and suppliers across the EU. INVENTORY is targeted to 22 million SMEs in the EU who are seeking for opportunities to expand their client base and find new suppliers to optimize costs. As the outcome, the INVENTORY project increases visibility and competitiveness of SMEs on the EU market by creating conditions for an efficient market. INVENTORY provides product recognition systems, standardised and comparable product information, real-time automated inventory management, deposit service, extensive compatibility with other software and simple set-up. These are all essential characteristics of an efficient and effective marketplace that current European market lacks. The objective of the feasibility study is to identify and assess technical and commercial feasibility of INVENTORY. We want to conduct more extensive research on market size, growth and trends for different segments, understand better relative strengths and weaknesses of INVENTORY, analyse market barriers and to identify technical obstacles.

Keywords: marketplace,industrial products,manufacturer s marketplace
An Illumination of the Dark Ages: modeling reionization and interpreting observations (AIDA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Italy
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-05-01
End date: 2021-04-30
Duration (months): 72.0
Total project cost (EUR): 1468750.0
EU funding (EUR): 1468750.0
Participants: 1
Project status: CLOSED

Understanding the dawn of the first galaxies and how their light permeated the early Universe is at the very frontier of modern astrophysical cosmology. Generous resources, including ambitions observational programs, are being devoted to studying these epochs of Cosmic Dawn (CD) and Reionization (EoR). In order to interpret these observations, we propose to build on our widely-used, semi-numeric simulation tool, 21cmFAST, and apply it to observations. Using sub-grid, semi-analytic models, we will incorporate additional physical processes governing the evolution of sources and sinks of ionizing photons. The resulting state-of-the-art simulations will be well poised to interpret topical observations of quasar spectra and the cosmic 21cm signal. They would be both physically-motivated and fast, allowing us to rapidly explore astrophysical parameter space. We will statistically quantify the resulting degeneracies and constraints, providing a robust answer to the question, "What can we learn from EoR/CD observations?" As an end goal, these investigations will help us understand when the first generations of galaxies formed, how they drove the EoR, and what are the associated large-scale observational signatures.

Keywords: reionization,cosmic dawn
Towards the detection of the axion with the International Axion Observatory (IAXOplus)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Spain
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2025-09-30
Duration (months): 84.0
Total project cost (EUR): 3106875.0
EU funding (EUR): 3106875.0
Participants: 1
Project status: SIGNED

The nature of the Dark Universe is an outstanding question in modern science, and is connected with our understanding of the reality at the most fundamental level. Despite the enormous success of the Standard Model (SM) of particle physics, a number of shortcomings of the theory and the fact that it does not account for the Dark Matter and Energy, prompt theorists to propose possible hypothetical extensions. Some of these extensions predict the existence of very-light and very-weakly-coupled axions (or axion-like particles, ALPs). Recent theoretical and phenomenological work is sharpening the physics case of these particles. They are now considered as very motivated portals for physics beyond the SM, and in particular as very plausible Dark Matter candidates. In addition, some intriguing astrophysical observations might be interpreted as hints for their existence. The International Axion Observatory IAXO is one of the most ambitious proposals to find the axion. Its baseline configuration relies on the search for solar axions, but could also host relic axion detectors. IAXO will go well beyond current experiments' sensitivity and will probe a large fraction of the -still unexplored- parameter space of the axion and ALPs. The scope of the present proposal encompasses the realization of a first complete intermediate experimental stage, BabyIAXO, including prototypes of the IAXO magnet and detection systems. It will already provide relevant physics outcome in the time-frame of the current grant, while preparing the ground for, and extending the physics reach of, the full IAXO. In particular, BabyIAXO will already be able to test a number of axion and ALP models that are invoked by the aforementioned astrophysical hints and therefore already at this stage there is potential for discovery. The detection of a new fundamental pseudoscalar -potentially solving the DM problem- would lead to a breakthrough in Particle Physics, Cosmology and Astrophysics.

Keywords: axions,dark matter,axion helioscope,axion like particle,superconducting magnet,x ray optics,low background techniques
Inline real-time 4.0 quality monitoring in food production (FoodMonitor)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Austria
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-07-01
End date: 2018-10-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The food industry is in need of solutions to enhance food safety and food security across the supply chain, so as to reduce the amount of food discarded as waste and prevent the creation of toxic substances during processing: today, about 1.3 billion tonnes of food get lost or wasted! At Insort GmbH we aim to address this need with the FoodMonitor: a monitoring system which combines the latest technologies in (I) hyperspectral imaging and sensing in food production and (II) machine learning algorithms and Internet of the Things. The FoodMonitor analyses the chemical composition of the material to be processed at all critical stages of the production line, providing the operator with a complete, real-time picture to adjust the different production steps according to the real characteristics and quality of the food products, i.e. optimizing production at product-level according to efficiency, health and sustainability aspects. In this way, we contribute to reducing food loss and waste pre-consumption as well as health damages post-consumption of industrial processed food. At Insort GmbH we count with a highly ambitious and very experienced team in technical, commercial and financial tasks for the project execution. Our company has been very successful since its foundation in 2011: we are now 30 employees, generating an annual turnover of €5 million (with ascending trend), having won 7 national and international prices on best practices and disruptive technologies. In addition to our social, economic and ecological aims in reducing food wastage and enhancing food safety, through this project we aim to boost the competitiveness of our company, reaching overall revenues of about €14 million in the third year of commercialization, and increasing our personnel in about 12 people. With a Phase 2 investment of €1.5 million, this would imply a Return of Investment of 3.3

Keywords: food monitoring,chemical analysis,production line,processing,quality
Measuring and explaining the global debt of biotic homogenization in a changing world. (INDEBT)

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: Environment and Geosciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: SIGNED

The process The process of biotic homogenization corresponds to the increase in similarity between ecological communities through time. It is one of the most significant aspects of the current biodiversity crisis, and limiting its detrimental effects is gaining momentum in conservation biology. Lagged biodiversity responses to past environmental changes might result in disequilibrium states between community composition and present-day environmental conditions in many biomes and taxa across the planet. My hypothesis is that if delayed biodiversity responses affect the community compositions, they should also affect the similarity between communities. If so, lagged biodiversity responses to global changes might build a homogenization debt, here defined as a future increase of similarity between communities resulting from past environmental perturbation. This project will test the existence, quantify, and map the prevalence of the homogenization debt at a global scale, across biomes and taxa (terrestrial plants, birds, fish, and marine invertebrates). Using graphical, analytical and statistical methods, I will quantify disequilibrium states and dynamics of species turnover between communities, and formally test their link with a set of anthropogenic threats to biodiversity. The project will provide a novel assessment of the biotic homogenization at global scale, and a comprehensive assessment of its drivers. The first quantitative estimation and map of the homogenization debt will reveal areas where biodiversity is doomed to homogenize in the near future if no actions are undertaken. Thus, the project outcome will help to prioritize context-dependent conservation actions to mitigate future homogenization. Through this MSCA fellowship, I will acquire a new set of scientific (statistical development, big-data, new concept in ecology) and transversal (project and financial management) skills that will foster my capacity to reach a academic researcher position in France.

Keywords: biotic homogenization,global change,anthropogenic threat,extinction debt
Novel, automated charging infrastructure for electric vehicles (MATRIX CHARGING)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Austria
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2017-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Electrical vehicles (EVs) tend to be met with high resistance from car users, mainly due to range anxiety, variable power costs and long refuelling times. Though these arguments may seem valid at this moment, future batteries and charging stations may actually reduce these disadvantages. Nevertheless, some gaps and barriers of the current charging systems have not been solved finally yet, including the availability and inter-operability of the charging infrastructure, charging rates and efficiency, autonomous charging, safety and handling comfort. easE-Link is our revolutionary matrix charging system, addresses all of the aforementioned issues using a matrix-shaped ground pad and a vertical power connector that attached to any surface of the ground pad on the parking floor, allowing for the highest parking alignment tolerance and reducing the complexity of a three-dimensional mechanical moving system. All ground pads in a parking infrastructure can be interconnected, allowing easy connection to the electrical grid. As such, our concept brings advantages regarding integration into vehicle and the wide scale deployment within parking infrastructure (both retrofits and new integrations).

Keywords: electric,charging,matrix,ecars,e cars,automatized,easelink
API-ecosystem for cross-sectorial exchange of 3D personal data (BodyPass)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Big Data PPP (cPPP)
Countries involved: Spain,Spain,Italy,Netherlands,Portugal
Call: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2020-12-31
Duration (months): 36.0
Total project cost (EUR): 3110581.25
EU funding (EUR): 2552018.38
Participants: 8
Project status: CLOSED

BodyPass aims to break barriers between health sector and consumer goods sector and eliminate the current data silos. The main objective of BodyPass is to foster exchange, linking and re-use, as well as to integrate 3D data assets from the two sectors. For this, BodyPass has to adapt and create tools that allow a secure exchange of information between data owners, companies and subjects (patients and customers). 3D personal data is type of data that contains useful information for product design, online sale services, medical research and patient follow-up. Currently hospitals store and grow massive collections of 3D data that are not accessible by researchers, professionals and companies. About 2.7 petabytes a year stored in the EU26. In parallel to the advances made in the health sector, new 3D body-surface scanning technology has been developed for the goods consumer sector, namely apparel, animation and art. Moreover, new low-cost scanning technologies are expected to exponentially increase 3D data creation. It is estimated that currently one person is scanned every 15 minutes in the US and Europe. And increasing. The 3D data of the health sector contains the body shape information, not only internal body information. These data could be used by designers and manufacturers of the consumer goods sector. At the same time, although 3D body-surface scanners have been developed primarily for the clothing industry, 3D scanners’ low cost, non-invasive character, and ease of use make them appealing for widespread clinical applications and large-scale epidemiological surveys. However, companies and professionals of the consumer goods sector cannot access the 3D data of health sector. And vice versa. Even exchanging information between data owners in the same sector is a big problem today. It is necessary to overcome problems related with data privacy and the processing of huge 3D datasets.

Keywords: anthropometry,3d body forms,3d scanner,medical images
TEKLAB Evaporator Management system for energy efficient refrigeration (TEM)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Italy
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2017-12-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Our company, TEKLAB S.r.l., specialises in the design and production of liquid level sensor technology for the wide spread industry in Europe. Since its establishment in 1989, our company has evolved and grown to become a leading manufacturer with facilities spanning over 6,000m2 and an annual revenue of over €1.5 million. Presently, TEKLAB specialises in producing a wide range of liquid level sensors and control systems like our latest TEKLAB Evaporator Management (TEM) system to meet the diversified growing market for liquid sensors and controllers. Our liquid level sensors are low cost, high technology products which have undergone stringent quality control tests. We pride ourselves in being able to manufacture and supply innovative, robust and eco-friendly solutions. The TEKLAB Evaporator Management System (TEM) is an innovative feeding system for regulating the flow of refrigerant into an evaporator of a refrigeration cycle. Evaporators can be classified as dry type and flooded type. The problems encountered in industry are that the dry expansion type is not efficient as flooded evaporators because of a lower cooling capacity. The flooded type is much more efficient due to wetted surface which increases refrigeration capacity but they require refrigerant recirculation. This complicates the system layout and requires large amounts of refrigerant. Our solution, TEM, offers a highly efficient alternative, which retains the benefits of flooded evaporation, without the need of liquid recirculation, with the system simplicity of the dry evaporator type boasting of a higher coefficient of performance (COP). Our TEM project aims at reducing energy consumption by 15%, refrigerant charge by 25%, system complexity and cost of manufacture of refrigeration equipment by 20%. When commercialised, this technology will bring a long-term profitability for our company, increasing sales and leading to an additional €12.3 million accumulated gross profits by 2024.

Keywords: refrigeration,eco design,thermostatic expansion valve,flooded evaporator,dry expansion evaporator,superheat,level indicator
DEVELOPMENT OF LOW-POWER EMAT INSTRUMENTATION FOR IN-SERVICE CORROSION INSPECTION AND MONITORING IN HIGH TEMPERATURE ASSETS (LOPEMAT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2020-09-07
End date: 2021-09-06
Duration (months): 12.0
Total project cost (EUR): 114964.29
EU funding (EUR): 80475.0
Participants: 1
Project status: CLOSED

EMAT is an advanced couplant-free ultrasonic technology that overcomes the Achilles heel of conventional ultrasonic testing (UT), transferring energy from the probe into the material inspected. Unlike UT, EMAT does not require couplant nor direct contact with the target surface, making the technology ideal for field-use and automation. The biggest drawback of this technology is its high-power consumption, which in turn leads to bulky instrumentation and higher pricing when compared to conventional ultrasonic devices. LOPEMAT project will tackle this challenge, paving the way to a new paradigm of ultrasonic inspection trough the development of the first line of Low-Power EMAT systems. In line with the trend to make technology cheaper, lighter and more efficient, recent publications have shown it feasible to generate EMAT bursts with an excitation of 0.5 W and 4.5 Vpp, using a combination of advanced signal processing techniques such as binary quantization and coded excitation, whilst a typical high-power EMAT instrument such as Innerspec’s PowerBox H, works with 8000 W and 1200 Vpp, limiting its size, price range and portability. A change so vast in power consumption would constitute a total gamechanger in the field, allowing for cheaper and lighter EMAT instruments, no bigger than a smartphone, that could be powered trough a power-bank or USB port, and could compete with conventional ultrasonic devices across the whole range of NDT applications. Thus, the main goal of the LOPEMAT project is to develop and validate a first working prototype of low-power EMAT system for normal beam and guided wave generation.

Keywords: emat,low power,ultrosound testing,inspection,maintenance,instrumentation
Exosome inspired RNA communication between HiErarchicaL poLymer prOtocells (RNAhello)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-06-01
End date: 2023-05-31
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

The mimicking of cellular communication pathways and genetic information transfer in synthetic systems is an important target for researchers. These artificial cell systems have the potential to increase understanding of biological and cellular processes, while also having potential applications in healthcare technologies. This project will involve the investigation of exciting new stimuli responsive and highly tuneable hierarchical polymer protocells, and their application in RNA-based communication. Previous generations of polymer protocells have been shown to allow diffusion based communication with small molecules and naked DNA strands – the project will expand upon this by investigating polymersomes as mRNA shuttles between distinct protocell populations. This exosome inspired system will allow the typically unstable mRNA molecules to be protected from degradation in the external medium, thus opening the door to much more lifelike systems, and possible therapeutic applications. The proposed research project is strongly multidisciplinary, and involves a combination of polymer chemistry, nanomaterials engineering, cell biology, and imaging techniques. RNAhello includes both the transfer of knowledge to the host institution and the training of the candidate in new advanced techniques. Results have the potential to increase understanding of biological mechanisms in relation to the complex hurdle of the nucleic acid based transfer, whilst also providing innovative platform material for treatment of disease. Additional project goals include: engaging with the non-scientific public through outreach methods; gaining of further commercial training for potential exploitation of research; presentation of research results at international conferences; and the preparation of additional funding proposals.

Keywords: systems chemistry,artificial cells,coacervates,mrna