Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Market Uptake of Sustainable and Competitive Carbons for Energy Storage (CareSTOR)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Ukraine,Spain,Germany,Spain,Switzerland
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2016-1, 2016)
Start date: 2016-11-01
End date: 2020-12-31
Duration (months): 50.0
Total project cost (EUR): 2672954.81
EU funding (EUR): 1953124.0
Participants: 5
Project status: CLOSED

CareSTOR project will provide evidence (TRL8), at techno-economic perspectiveical and financial perspectives, and validate a business case based on a ground-breaking solution for ultra-cheap Capacitive Energy Storage (CES). The solution is enabled by an innovative intensified (hydrothermal) technology for the low-cost production of Advanced Nanoporous Carbons (Figure 1). Supercapacitor manufacturers (NSC & APC) will access to a UNIQUE COMPETITIVE ADVANTAGE through 30-40% decrease in technology price (KEY VALUE PROPOSITION-KVP) that will materialized into measurable benefits and sustainable business. The project ambitions to boost deployment of Energy Storage Systems (ESS) in Green Vehicles and usage of Renewable Energy Sources for Electricity (RES-E powered Grids) currently limited by cost barriers, with deep implications for H2020 challenges and European competitiveness and employment. CareSTOR consortia brings together the capacities and niche SUPERCAPACITOR market access to be the first EU-Selfsufficient value chain with unprecedented KVPs addressing a niche market of € 50 million by 2018. To tackle market opportunities, CareSTOR develops business-oriented Implementation including Scale-up (ENV), Prototype validation at operational level and automated production tasks for Supercapacitor cells (CareCAP). Key stakeholders are identified, pre_agreemets addressed including KPIs and deployed actions in place to assure agreements to force and accelerate market uptake for NCP & APC partners. Final 12 months devoted to Product validation in operational environment (CARESS stage) as a result assessing business success cases of the reliability and profitability of new ESS (4 Demo activities, Cost-Benefit assessment with scale-up data for each one of the Demo actions) to validate, at commercial and technical perspectives market access after project finalization.

Keywords: energy storage,supercapacitors,sustainability,waste valorization,biomass hydrochar,efficient,energy,green transport,smart grids,renewable energy
Regeneration and zonation by ZEB2 of Liver Endothelium (REZONABLE)

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: Life Sciences
Countries involved: Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2017-12-31
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

The liver is a crucial organ in metabolism and removal of waste products from the body. Hereto, the liver parenchyma receives a mix of nutrient-rich blood from the portal vein and oxygen-rich blood from the hepatic artery. Blood flows through the sinusoids and leaves the liver via the central and hepatic veins. Hepatic sinusoids are highly specialised channels in which hepatocytes are organised in zones according to their position relative to the portal and central veins. They are lined with a specified, fenestrated, discontinuous endothelium. Many drugs (e.g., chemotherapeutics) and toxins cause damage to the sinusoids that may lead to liver fibrosis and cirrhosis. Formation of new sinusoids is an indispensible step for liver regeneration. Furthermore, liver sinusoidal endothelial cells (LSECs) produce agents that stimulate hepatocyte proliferation. Time-dependent expression of different proteins in the developing liver is important for sinusoid formation. The host lab found that the transcription factor Zeb2 (also known as Sip1) is highly expressed in LSECs in the developing and adult liver. Furthermore, its expression in adult LSECs is mainly in those from the pericentral zone. We hypothesize that Zeb2 is a transcriptional determinant of LSEC specification, zonation, maintenance and regeneration. Here, we aim to: (i) evaluate whether/how Zeb2 contributes to LSEC specification and zonation; (ii) establish a role for Zeb2 in LSECs in adult mice; (iii) assess its role in sinusoidal regeneration during liver disease; and (iv) estimate the therapeutic potential of Zeb2-treated endothelial progenitors in recovery from liver injury. To address these aims, we will use a multidisciplinary approach based on lentiviral overexpression in cultured ECs, transgenic mice lacking or overexpressing Zeb2 in ECs and transplantation of ECs pre-specified towards LSECs. These studies will allow us to evaluate the potential of Zeb2 as a novel target to stimulate liver regeneration.

Keywords: endothelium,liver disease,sinusoids,vasculature,transcription factors,zeb2,blood outhrowth endothelial cells,regeneration,transgenic mice
Quasi-Randomness in Extremal Combinatorics (EXTPRO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Israel
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-03-01
End date: 2021-02-28
Duration (months): 72.0
Total project cost (EUR): 1221921.0
EU funding (EUR): 1221921.0
Participants: 1
Project status: CLOSED

Combinatorics is an extremely fast growing mathematical discipline. While it started as a collection of isolated problems that were tackled using ad-hoc arguments it has since grown into a mature discipline which both incorporated into it deep tools from other mathematical areas, and has also found applications in other mathematical areas such as Additive Number Theory, Theoretical Computer Science, Computational Biology and Information Theory. The PI will work on a variety of problems in Extremal Combinatorics which is one of the most active subareas within Combinatorics with spectacular recent developments. A typical problem in this area asks to minimize (or maximize) a certain parameter attached to a discrete structure given several other constrains. One of the most powerful tools used in attacking problems in this area uses the so called Structure vs Randomness phenomenon. This roughly means that any {\em deterministic} object can be partitioned into smaller quasi-random objects, that is, objects that have properties we expect to find in truly random ones. The PI has already made significant contributions in this area and our goal in this proposal is to obtain further results of this caliber by tackling some of the hardest open problems at the forefront of current research. Some of these problems are related to the celebrated Hypergraph and Arithmetic Regularity Lemmas, to Super-saturation problems in Additive Combinatorics and Graph Theory, to problems in Ramsey Theory, as well as to applications of Extremal Combinatorics to problems in Theoretical Computer Science. Another major goal of this proposal is to develop new approaches and techniques for tackling problems in Extremal Combinatorics. The support by means of a 5-year research grant will enable the PI to further establish himself as a leading researcher in Extremal Combinatorics and to build a vibrant research group in Extremal Combinatorics.

Keywords: graph theory,extremal combinatorics,regularity lemma,quasi randomness,property testing,graph decomposition,ramsey theory
Embedding crop diversity and networking for local high quality food systems (DIVERSIFOOD)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Italy,Spain,Spain,Italy,Cyprus,Norway,Switzerland,Norway,Finland,Switzerland,Hungary,France,France,Netherlands,Portugal,Portugal,United Kingdom
Call: Traditional resources for agricultural diversity and the food chain (H2020-SFS-2014-2, 2014)
Start date: 2015-03-01
End date: 2019-02-28
Duration (months): 48.0
Total project cost (EUR): 4107405.75
EU funding (EUR): 3429908.75
Participants: 24
Project status: CLOSED

DIVERSIFOOD will evaluate and enrich the diversity of cultivated plants within diverse agroecosystems so as to increase their performance, resilience, quality and use through a multi-actor approach. By integrating existing experienced networks and using specific and relevant cases across Europe the project will strengthen “food culture” to improve economic viability of local chains resulting in a greater diversity of produce with a cultural identity. Thanks to the composition of its consortium, DIVERSIFOOD will cover the whole food chain from genetic resources to marketing, connecting and amplifying local existing actions. It will design specific concepts and methodologies for combining in situ experiments to ensure performance and quality. It will evaluate the genetic resources of a dozen underutilized and forgotten plant species for organic and low-input agriculture or marginal/specific conditions, including the association of various underutilized legumes with several cereals, and create new diversity by innovative breeding methods designed for more intra-crop variation. It will help to facilitate cooperation between participatory research networks and professional breeders as well as policy makers in connecting formal and informal seed systems in Europe in relation to international negotiations on Farmers’ rights with the International Treaty on Plant Genetic Resources for Food and Agriculture. Key-lessons based on the diverse experiences in the project will be shared to support on-farm seed production networks to guarantee high quality seed. DIVERSIFOOD will demonstrate the socio-economic value of on-farm seed systems, help at local and wider policy levels to increase food and environmental awareness, and improve multi-actor approaches to embed healthy and tasty local products in regional food chains. Demonstration and dissemination will take place at all stages, in collaboration with network organizations for a greater impact.

Keywords: participatory plant breeding,local food chain,community seed banks,informal seed system,sensorial quality,local adaptation,farmers,consumers network,seed regulations,transdisciplinarity
Satellite Swarm Sensor NETwork (S3NET)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Research and Innovation actions
Countries involved: Italy,Israel,Germany,Germany,Germany,France
Call: Technology developments for competitive imaging from space (H2020-EO-2015, 2015)
Start date: 2016-05-01
End date: 2018-10-31
Duration (months): 30.0
Total project cost (EUR): 2563520.0
EU funding (EUR): 2563520.0
Participants: 8
Project status: CLOSED

The implementation of the S3NET concept as proposed by this consortium, will significantly advance the knowledge and decision-making capabilities for the space community in general and mission planners in particular. Through the enhancement and efficient use of on-board resources (computing power, communications and fuel) the improvements in performance of Earth observations (EO) using fractionated or single sensors aboard « swarms » of satellites will be shown. The project will develop two benchmarking systems which will result in the TRL3 demonstration of these performance improvements using the most relevant fragmented and distributed EO optic (high-resolution optical and hyperspectral) and radar mission scenarios. Expected impacts of these results include: improved quality of service, mission scalability, increased incremental deployment, cost savings for satellite missions through extended satellite operations/life-time, restructuring of the space imaging value chain and lastly, further independence from ITAR restricted products. The S3NET consortium is comprised of end users and mission planning representatives, satellite formation flying experts and specialists in radar and optical sensor technology, on-board computing, high-performance processor and hardware design, acceleration of software applications, and satellite telecommunications. The project will last 30 months.

Keywords: fractionated satellite sensors for earth observation
Big Data in Chemistry (BIGCHEM)

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: Germany,Germany,Italy,Germany,Ukraine,Germany,Spain,Germany,Switzerland,Switzerland,Sweden,France,Netherlands,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-EID) (H2020-MSCA-ITN-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 2540146.42
EU funding (EUR): 2540146.42
Participants: 17
Project status: CLOSED

The advent of the big data era in chemistry and the life sciences requires the development of new computational analysis methods, which are not only of scientific, but also economic relevance. Currently, the international data market already grows six times faster than the entire IT sector, and growth rates further increase. Achieving and sustaining a leadership positions in the big data arena represent critically important challenges for the EU. The economic developments in the emerging big data field are science-driven. Due to complexity and heterogeneity of biochemical and biomedical data, large-scale data exploration and exploitation are intrinsically interdisciplinary tasks. BIGCHEM positions itself at interfaces between chemistry, computer science, and the life science to provide well-structured multidisciplinary training and educate high-in-demand computational specialists capable of operating in interdisciplinary and international research and business settings. Cornerstones of BIGCHEM’s curriculum include on-line lectures and periodic schools taught by internationally leading experts in chemical and life science informatics, a balanced consortium of academia, SMEs, and large industry, and an unprecedented symbiosis of academic and industrial training and application components. Accordingly, BIGCHEM is well positioned to boost multilateral collaborations between academia and industry and train scientists who are highly competitive in the international big data market. In BIGCHEM’s R&D and training activities, the development and evaluation of conceptually novel methods for large-scale data analysis, knowledge extraction, and information sharing with demonstrated practical application potential take center stage. The network has a clearly defined policy for exploitation of new IP through wide involvement of target users, SMEs, and large industry facilitated by the experienced technology transfer department of the coordinator's team.

Keywords: big data,chemoinformatics,drug design,data mining,information sharing,structure activity relationship studies,virtual and hts screening,chemical space,qsar
Searching for axion and axion-like-particle dark matter in the laboratory and with high-energy astrophysical observations (AxionDM)

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: Germany,Denmark
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 1440763.0
EU funding (EUR): 770380.5
Participants: 2
Project status: SIGNED

The nature of dark matter, which makes up more than 80% of the Universe's matter content, remains unknown. Light axions and axion-like particles (ALPs) are well motivated dark-matter candidates that could be detected through their oscillations into photons in the presence of magnetic fields. Here, complementary laboratory and astrophysical searches for dark-matter axions and ALPs are proposed that will cover more than 10 orders of magnitude of possible axion and ALP masses. The astrophysical searches will focus on high-energy gamma-ray observations with the Fermi Large Area Telescope as well as current and future imaging air Cherenkov telescopes. Photon-ALP oscillations would cause features in the spectra of distant galaxies as well as gamma-ray bursts from core-collapse supernovae. Axion and ALP decay would also increase the opacity of the Universe for gamma rays. These signals will be searched for through novel comparisons of gamma-ray data and model predictions. The laboratory searches will focus on contributions to the Any Light Particle Search (ALPS II) and International Axion Observatory (IAXO) experiments. New analysis and simulation frameworks, as well as trigger concepts, will be developed in order to significantly improve the background rejection for the Transition Edge Sensor (TES) detector employed in the ALPS experiment. These improvements could pave the way for an ALP detection in the laboratory with first data runs at the ALPS II experiment planned in 2021. Monte Carlo simulations will be used to assess whether TES detectors can achieve the low background rates required for IAXO. Such high energy resolution detectors could help to precisely measure the axion/ALP mass through mass-dependent spectral features. Through an unprecedented investigation of axion and ALP signatures and by enhancing the sensitivity of future laboratory experiments, the proposed research will discover or rule out so-far unprobed dark-matter axions and ALPs.

Keywords: high energy gamma rays,axions,axion like particles,dark matter,indirect dark matter searches,cryogenic detectors,transition edge sensors,data analysis,machine learning,detector simulations,trigger concepts
Real-time dynamic control system for laser welding (RADICLE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Switzerland,Sweden,Finland,Belgium,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Process optimisation of manufacturing assets (H2020-FoF-2014, 2014)
Start date: 2015-02-01
End date: 2018-10-31
Duration (months): 45.0
Total project cost (EUR): 3793802.0
EU funding (EUR): 3583212.0
Participants: 12
Project status: CLOSED

RADICLE aims to create a real-time dynamic control system for laser welding using a combination of (application specific) sensors in combination with intelligent and predictive control technologies for in-process monitoring and control to minimize/eliminate defects for a range of materials and geometries for both aerospace, automotive and other applications. The control system will include pre- and post-welding measurement as well as in-process monitoring, control and fault prevention / fixing. The project has 4 large, end-user partners - Rolls-Royce, Alstom, GKN and CRF (FIAT) therefore the impact of RADICLE is expected to be very large. The overall impacts of successful implementation of the RADICLE technology through our consortium and the wider welding sectors will enable us to achieve the following impacts: - Increased productivity of up to 30%, resulting in: - 30% reduced energy usage; - 30% reduced emissions; - Eliminate the need for part scrappage or rework (up to 20%-30% of labour input); - Reduction or removal of the need for final NDE testing of the parts; - Remove need for large enclosed remote welding rooms (~35% floor space reduction); - Increase health and safety benefits; In addition, RADICLE will contribute to the wider Europe 2020 targets, through: - Increased employment of 20-64 year-olds; - Increased R&D spending; - Reduced energy usage and greenhouse gas emissions; - Increased education, especially at third level education;

Keywords: zero defects,laser,in process control,real time,aerospace,automotive,power
Demonstration of an integrated innovative biorefinery for the transformation of Municipal Solid Waste (MSW) into new BioBased products (URBIOFIN) (URBIOFIN)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Innovation actions
Partnership: BBI (Art-187)
Countries involved: Spain,Spain,Spain,Spain,Germany,Spain,Spain,Ireland,Belgium,Greece,France,France,Netherlands,Netherlands,Denmark,United Kingdom
Call: Valorisation of the organic content of Municipal Solid Waste and contributing to the renewable circular economy (H2020-BBI-JTI-2016, 2016)
Start date: 2017-06-01
End date: 2022-09-30
Duration (months): 64.0
Total project cost (EUR): 14520686.6
EU funding (EUR): 10946366.03
Participants: 23
Project status: CLOSED

Due to the rapid growth of population, municipal solid waste (MSW) has contributed significantly to the total amount of waste generated by our society. Today in Europe, each habitant generates, in average, 0.5 tonnes of MSW per year, increasing at an annual rate of 10%. Around 40-50% of it correspond to organic waste. This organic fraction mainly contains carbohydrates, proteins and lipids, which are all useful raw material that can be converted to valuable products. Its valorisation will help to solve environmental pollution but also contributes to the transition from a linear to a renewable circular economy. Digestion and composting have contributed to the reduction of the biodegradable fraction of MSW sent to landfill. The low economical value of compost and biogas is limiting the sustainable implementation of separate sourcing systems since increasing citizen environmental (waste) taxes is then need to tackle important logistic costs. New biobased products can help to improve waste treatment environmental and socio-economical sustainability. The aim of URBIOFIN project is to demonstrate the techno-economic and environmental viability of the conversion at semi-industrial scale (10 T/d) of the organic fraction of MSW (OFMSW) into: Chemical building blocks (bioethanol, volatile fatty acids, biogas), biopolymers (polyhydroyalkanoate and biocomposites) or additives (microalgae hydrolisated for biofertilisers). By using the biorefinery concept applied to MSW (urban biorefinery), URBIOFIN will exploit the OFMSW as feedstock to produce different valuable marketable products for different markets: agriculture, cosmetics. URBIOFIN will offer a new feasible and more sustainable scenario alternative to the current treatment of the OFMSW.

Keywords: municipal solid waste,semi industrial scale,bioethanol,bioethylene,volatile fatty acids vfa,medium chain fatty acids,polyhydroxyalcanoates pha,biomethane,biofertiliser,integration