Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Extended short-wave infrared pulsed fibre laser (SWIP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2019-08-01
End date: 2021-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The 2+ um short-wave infrared spectral band has been gaining constant momentum in the recent years, driven by a plethora of potential applications whose performances could be improved either in terms of sensitivity, security, reach or efficiencies. Opening this wavelength range for widespread usage necessarily requires developing new technologies such as fibre lasers, which have already found wide use at 1.0 and 1.5 um. We propose in this ERC Proof of Concept project SWIP to move our nanosecond pulsed 2+ um fibre laser technology closer to commercialization. Advanced prototypes will be tailored to satisfy user needs such as portability, affordability and versatility while delivering the required performances to fully exploit the 2+ um spectral band. The project will push the operation of extremely simple, compact 2 um fibre lasers with customized pulsing and towards wavelengths yet un-exploited by utilizing novel co-doped fibres. More specifically, the objectives of this PoC are therefore to A) optimize and tailor our prototype to user needs, B) assess our competitive advantages in key and emerging markets, C) investigate various commercialization avenues and business models as to establish a sound exploitation strategy.

Keywords: fibre laser,short wave infrared,pulsed laser
Uncovering and understanding differences in health behaviours in people with diabetes (CASCARA)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Luxembourg
Call: Widening Fellowships (H2020-WF-03-2020, 2020)
Start date: 2021-10-01
End date: 2023-09-30
Duration (months): 24.0
Total project cost (EUR): 178320.0
EU funding (EUR): 178320.0
Participants: 1
Project status: CLOSED

Diabetes causes a large and unevenly distributed health and economic burden within the population living with diabetes. Improved health behaviours have the potential to avert a large share of morbidity and mortality attributable to diabetes. However, adherence to recommended self-management remains challenging for many patients. This may (at least partly) explain the large overall disease burden in people with diabetes, as well as how that burden is distributed among patients. A better understanding of the patient and community level characteristics that affect behaviour change can inform more personalised, more effective health interventions that stimulate positive health behaviour changes, in turn reducing the overall burden associated with diabetes. CASCARA aims to provide novel and much needed evidence on characteristics predictive of (1) health behaviour change subsequent to a diabetes diagnosis and (2) of the resulting changes in diabetes complication risk factors. To achieve this, I will use causal econometric and epidemiologic methods as well as machine learning (ML) and causal mediation analysis. The commonly recommended behaviour changes I focus on comprise: improving diet, increasing physical activity, reducing smoking and alcohol consumption. In particular, CASCARA will address the following research objectives using longitudinal observational data from continental Europe, the UK and the US: 1. Investigate the effect of a diabetes diagnosis on health behaviours and potential heterogeneities across gender and socioeconomic status 2. Use of ML to identify potentially unanticipated socioeconomic, demographic and clinical characteristics affecting health behaviour change, for a more detailed understanding of its potential drivers 3. Use causal mediation analysis to identify the impact of different health behaviour changes on risk factors for diabetes complications (body mass index, hypertension status and blood glucose levels) post-diabetes diagnosis.

Keywords: machine learning,diabetes
Engineering of Mycoplasma pneumoniae as a broad-spectrum animal vaccine (MycoSynVac)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Biotechnology
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Spain,France,Netherlands,Netherlands,Denmark,United Kingdom
Call: Synthetic biology – construction of organisms for new products and processes (H2020-LEIT-BIO-2014-1, 2014)
Start date: 2015-04-01
End date: 2020-03-31
Duration (months): 60.0
Total project cost (EUR): 8056677.0
EU funding (EUR): 8056677.0
Participants: 8
Project status: CLOSED

Mycoplasmas are the smallest cell wall less, free-living microorganisms. The lack of a cell wall makes them resistant to many of the common antibiotics. Every year, infections caused by Mycoplasmas in poultry, cows, and pigs, result in multimillion euros losses in USA and Europe. Currently, there are vaccines against M hyopneumoniae in pigs and M gallisepticum and M synoviae in poultry. However, there is no vaccination against many Mycoplasma species infecting pets, humans and farm animals (ie M bovis cow infection). Mycoplasma species in many cases are difficult to grown in axenic culture and those that grow need a complex media with animal serum. In large scale production of Mycoplasma species for vaccination aside from the high cost of animal serum, more important is the high irreproducibility in the production process and the possible contamination with animal viruses. All this together highlights what European industry needs:i) a defined cheap reproducible medium that is animal serum free and ii) an universal Mycoplasma chassis that could be used in a pipeline to vaccinate against Mycoplasma species, as well as any pathogen. M pneumoniae is an ideal starting point for designing such a vaccine chassis. It has a small genome (860 kb) and it is probably the organism with the most comprehensive systems biology data acquired so far. By genome comparison, metabolic modeling and rationally engineering its genome, we will create a vaccine chassis that will be introduced into an industrial pipeline. The process will be guided by the second world largest industry on animal vaccination (MSD), as well as a SME specialized on peptide display and screening. This will ensure the exploitation and commercialization of our work contributing to maintain Europe privileged position in this field. Our ultimate goal is to meet the needs of the livestock industry,taking care of ethical issues, foreseeable risks, and prepare effective dissemination and training material for the public.

Keywords: mycoplasma,vaccination,synthetic biology,gene circuit design
SOUNDTILES business strategy definition (SOUNDTILES)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Activities in the underwater domain are essential to the economy and to society in general, holding high expectations for future growth. Unfortunately, the danger faced during underwater works and the fact that it is an uncontrolled environment for humans, make these activities tremendously expensive and insecure. In fact, most underwater operations require to have an overview of the submerged area before even being performed, for both safety and efficiency in operations. The traditional solution to the underwater inspection challenge consists in gathering images with a video camera, normally embedded in an underwater robot. However, very frequently, these activities take place in environments with poor water visibility conditions, deeming the maps unusable and the whole approach a waste of resources. A new generation of imaging sonars, namely the two-dimensional Forward-Looking Sonars (FLS), have produced a recent breakthrough in the market. These devices, also termed acoustic cameras, are able to directly deliver 2D images of unprecedented clarity and resolution compared to other available sonar technologies. However, working with sonar data is much more challenging than processing optical images. Given the lack of solutions in the market to generate maps with this kind of data, a PhD thesis from the University of Girona (UdG) developed a mosaicing pipeline tailored to the peculiarities of FLS images, providing a pioneering way to map underwater environments in low visibility conditions. IQUA Robotics exclusively licensed the technology from the UdG on January 2019 with the aim of evolving it from TRL5 to TRL 9 and make it commercial by 2020. The main sectors that may be interested in the technology are: oil and gas; renewable energies; food (fisheries); public sector (security and military); environmental and mining, to name a few. Thus, the goal of this proposal is to assess the feasibility of the validated technology in the targeted markets.

Keywords: underwater mapping,sonar mosacing,acoustic cameras,underwater imaging,image processing
Trusted and reliable content on future blockchains (TruBlo)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Ireland,Greece,Greece,United Kingdom
Call: Blockchain for the Next Generation Internet (H2020-ICT-2020-1, 2020)
Start date: 2020-09-01
End date: 2023-11-30
Duration (months): 39.0
Total project cost (EUR): 6055000.0
EU funding (EUR): 6055000.0
Participants: 7
Project status: SIGNED

Trust is essential to societies, and blockchain has the potential to shift trust in people and institutions to trust in technology. This view is in line with the recent emergence of less centralised paradigms for trust, that can offer concepts and techniques for efficiently operating large volumes of socially connected subjects, for example, peer-to-peer networking and the move from institutional and intermediary trust to modern era decentralised trust relying on technology. Decentralised architectures are much more appropriate for clustering subjects (users) and objects (e.g. media items) into communities and for maintaining social relationships. It is the main vision of the TruBlo project to nurture and facilitate beyond the state-of-the-art research on blockchain technology which will lead to more scalable blockchain based solutions and applications. The latter will contribute to ensuring the exchange of trustworthy and reliable content on social networks and media. To achieve this, the project will implement a series of open calls that will target academic and R&D companies research teams. They are invited to define and implement small scale research projects on two related use cases, obtaining technical and business support services from TruBlo: - Use case 1: Trust and reputation models on blockchains. This targets innovative applications, technologies, technical approaches and methodologies that increase the levels of trust in blockchain-based information exchange, with emphasis on user generated content on the Internet and social media, considering also data from IoT infrastructures. - Use case 2: Proof-of-validity and proof-of-location. The focus is on innovative mechanisms to increase transparency and trustworthiness of user generated genuine content. The users, as being part of a blockchain, can apply additional verification mechanisms to increase transparency, validity and high level of trustworthiness, such as Proof- of-Location and Proof-of Validity.

Keywords: blockchain,trust,media contents,reputation,user generated content,transparency,trustworthiness
Salt Tectonics and Dynamics (SALTED)

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: Germany
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-06-01
End date: 2017-11-30
Duration (months): 18.0
Total project cost (EUR): 149250.0
EU funding (EUR): 149250.0
Participants: 1
Project status: CLOSED

Many of the world’s oil and gas reservoirs occur in the vicinity of salt structures within sedimentary basins. Because salt is a weak and low-density rock, it flows on geological timescales and forms kilometre-high structures that strongly deform nearby sedimentary layers. This poses several challenges for the industry: 1) Finding new oil and gas fields requires a geological reconstruction of how the sedimentary basin evolved with time, in order to understand where hydrocarbons formed, how they migrated and where they might be stored now. Existing geological reconstruction methods use simple kinematic rules, which don’t work well in regions that are affected by salt tectonics as salt flows in a 3D manner and over large distances. 2) Drilling through or nearby salt structures can pose a risk, as they perturb the stresses within the basin, which can cause drill holes to collapse and other costly delays in the drilling process. To guide and assist oil exploration, we propose a radically different technique that relies on combining advanced computer simulations of the sedimentary basin with available data. Our method is able to reconstruct in a physically consistent manner the geological evolution of the basin, even if it is strongly affected by salt tectonics. It also predicts the 3D stress field of the subsurface together with uncertainty bounds, which will allow companies to design future drilling campaigns to be safer and more efficient. The recent drop in the price of oil has concentrated the industry’s exploration effort on increased-value projects, both by cutting costs for existing exploration methods and by further leveraging already acquired data via new interpretation techniques. We will address both of these industry requirements in areas where salt tectonics are prevalent. Within this proof of concept grant, we will work with industry partners to apply our methods to natural case studies and demonstrate its economic viability and cost-saving potential.

Keywords: geosciences,hydrocarbon exploration,geothermics,numerical modelling,salt structures,sedimentary basins
Modelling of MOF self-assembly, crystal growth and thin film formation (GROWMOF)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-08-01
End date: 2020-07-31
Duration (months): 60.0
Total project cost (EUR): 1738715.0
EU funding (EUR): 1738715.0
Participants: 1
Project status: CLOSED

Metal-organic frameworks (MOFs) constitute one of the most exciting developments in recent nanoporous material science. Synthesised in a self-assembly process from metal corners and organic linkers, a near infinite number of materials can be created by combining different building blocks allowing to fine tune host guest interactions. MOFs are therefore considered promising materials for many applications such as gas separation, drug delivery or sensors for which MOFs in form of nanoparticles, composite materials or thin films are required. For MOFs to realise their potential and to become more than just promising materials, a degree of predictability in the synthesis and the properties of the resulting material is paramount and the full multiscale pathway from molecular assembly to crystal growth and thin film formation needs to be better understood. Molecular simulation has greatly contributed to developing adsorption applications of MOFs and now works hand-in-hand with experimental methods to characterise MOFs, predict their performance and study molecular level phenomena. In contrast, hardly any simulation studies exist about the formation of MOFs, their crystal growth or the formation of thin films. Yet such studies are essential for understanding the fundamentals which will ultimately lead to a better control of the material properties. Building on my expertise in molecular modelling including the development of methods to model the synthesis of porous solids, we will develop new methods to study: 1. the self-assembly process of MOFs under synthesis conditions 2. the formation of nanoparticles 3. the integration of MOF nanoparticles into composite materials and the self-assembly into extended structures 4. the layer-by-layer growth of thin films At the end of the project we will have transformed our understanding of how MOFs form at a variety of length scales and opened up new research directions for the targeted synthesis of MOFs fit for applications.

Keywords: metal organic frameworks
Renormalization group approach to the collective behaviour of strongly correlated biological systems (RG.BIO)

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: Italy
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2025-03-31
Duration (months): 78.0
Total project cost (EUR): 2301250.0
EU funding (EUR): 2301250.0
Participants: 2
Project status: SIGNED

Biological systems displaying collective behaviour are characterized by strong spatio-temporal correlations, which partly transcend the multiform diversity of their microscopic details, much as it happens in statistical physics systems close to a critical point. Recent experiments show that collective biological systems conform to another hallmark of statistical physics, namely scaling. Scaling laws have been found to be valid both at the static and at the dynamic level, although with critical exponents unlike any known model. Building on the experimental evidence of strong correlations and scaling laws, I will develop a novel renormalization group (RG) approach to strongly correlated biological systems, with the purpose of classifying into new universality classes the collective phenomena of life. The key theoretical idea of the method is to perform an expansion around an equilibrium field theory in which the interaction network between the individuals in the group is fixed, and to assess the stability of the resulting RG fixed points with respect to weak off-equilibrium effects, complementing the RG flow with the standard loop expansion around the upper critical dimension. The renormalization group will allow us to go beyond the hydrodynamic regime of small fluctuations, thus pushing theoretical prediction into the critical region of the parameters, where the correlation length scales with the system's size, a region experiments show to be inhabited by several biological systems. To define the starting field theory in the most economic way I will study the role of effective symmetries in giving rise to weakly conserved quantities and non-dissipative terms, and assess their stability under the RG flow. Finally, my lab will conduct new experimental campaigns on flocks (starlings, swifts), swarms (midges, mosquitoes) and cell colonies, to explore and test the new universality classes identified by the renormalization group approach.

Keywords: renormalization group,field theory,collective behaviour
Defining new waste traceability standards for the green Demolition and Construction industry (TRACK4REUSE)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: France
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-11-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 2697550.0
EU funding (EUR): 1888285.0
Participants: 1
Project status: CLOSED

The Demolition & Construction (D&C) industry waste is the largest waste stream in the EU (1/3 of all waste produced). The D&C industry was identified as a priority waste stream by the European Union. ALTAROAD is leveraging its patented hardware and artificial intelligence platform to address the challenge of optimizing the industrial truck traffic and introducing new standards for the green D&C industry, with the aim of reaching the EU 70%-recycled-material ambition. Cofounded in 2017 by 3 female funders with complementing backgrounds, ALTAROAD has a green DNA and generated paid contracts from Day 1 with clients from the construction industry such as VINCI, EIFFAGE, FAYAT, LAFARGE, ECT. The business model is a flexible volume-based subscription. Spin-off from a joint research team, ALTAROAD has been prized with the Deeptech startup competition in 2018 and I-NOV by ADEME in 2019. The ALTAROAD solution enables the required transformation of D&C sites flow by leveraging 4 pillars : a strong change management culture, an open platform accessible to all actors of the value chain, a disruptive AI engine, and a unique combination of cameras and patented connected devices adapting to all sites configuration, and an innovative business model. By reducing the environmental impact, improving traceability, recycling, increasing onsite safety and providing financial benefits, ALTAROAD brings in a solution that reconciles all stakeholders of the value chain as shown in support letters from the Ministry of Ecological Transition, Grand Paris (largest construction site in Europe) and industrial actors. With the help from the EIC accelerator, ALTAROAD is now ready to take over the European market and its 120 000 large construction sites, with the aim to cover 10% of them by 2028 and become a force of change for a sustainable industrial mobility.

Keywords: demolition and construction,dcw standardisation,construction waste management,material recycling,circular economy,truck weighing,weigh in motion wim,smart city,construction digitalization