Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Specific activities in the context of innovation support (HORIZON 2020) in the Free State Saxony 2019 (EEN SACHSEN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Germany,Germany,Germany,Germany,Germany
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 59208.75
EU funding (EUR): 59208.0
Participants: 9
Project status: CLOSED

The aim of the present proposal is to contribute to the smart growth in the Free State Saxony as an emerging region in the European Union by increasing the efficiency and effectiveness of investments in research, development and innovation and by contributing to a better and more efficient connection of actors along the innovation chain. To achieve the above mentioned objectives the proposed project will: a) Identify bottlenecks to the creation of economic impact in companies benefitting from grants from the European Innovation Council regarding Horizon2020's SME instrument and address these bottlenecks with the help of capable coaches. This service to beneficiaries of the SME instrument, Fast Track to Innovation and Future Emerging Technologies open, respectively, in the context of a given project is called “Key account management”' (KAM). b) Increase the efficiency and effectiveness of innovation processes in small and medium sized enterprises with significant innovation activities that could potentially become beneficiaries of European support to research and innovation but would not have effective access to consulting services for innovation management. This service, which will be provided independently from a specific innovation project and focussing on a company's innovation management system, is called “Enhancing the innovation management capacity of SMEs” (EIMC). The project targets at the delivery of in total 17 service packages, 6 KAM and 11 EIMC services, in the geographical area of the Free State Saxony (Germany).

Keywords: key account management,innovation management capacity
The European Centre of Excellence for Engineering Applications (EXCELLERAT)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: European Data Infrastructure
Action type: Research and Innovation actions
Partnership: HPC PPP (cPPP)
Countries involved: Germany,Germany,Germany,Germany,Spain,Italy,Germany,Sweden,Slovenia,France,France,United Kingdom
Call: HPC PPP - Centres of Excellence on HPC (H2020-INFRAEDI-2018-1, 2018)
Start date: 2018-12-01
End date: 2022-05-31
Duration (months): 42.0
Total project cost (EUR): 7884757.5
EU funding (EUR): 7884757.5
Participants: 13
Project status: CLOSED

Engineering applications will be among the first exploiting exascale, not only in academia but also industry. In fact, the industrial engineering field is *the* industrial field with the highest exascale potential, thus EXCELLERAT brings together the necessary European expertise to establish a Centre of Excellence in Engineering with a broad service portfolio, paving the way for the evolution towards EXASCALE. All within the frame of the European HPC Strategy realization just pushed forward with the activities on the EuroHPC Joint Undertaking. To fulfil its mission, EXCELLERAT will base on six carefully chosen reference applications (Nek5000, Alya, AVBP, Fluidity (deprecated, replaced with TPLS), FEniCS, Flucs), which were analysed on their potential to support the aim to achieve EXASCALE performance in HPC for Engineering and thus to become candidates to be executed on the Exascale Demonstrators, Pre-Exascale Systems and Exascale Machines . All the facets of such a centre are addressed by EXCELLERAT, from "non-pure-technical" services such as access to knowledge or networking up to technical services as e.g. Co-Design, Scalability enhancement or Code porting to new (Exa)Hardware. As the consortium contains key players in HPC, HPDA or Knowledge Transfer and having for all reference applications the developers on board, impact (e.g. awareness creation but also feedback into the code development itself) is guaranteed. The scientific excellence of the EXCELLERAT consortium enables evolution, optimization, scaling and porting of applications towards disruptive technologies and increases Europe´s competiveness in engineering. Within the frame of the project, EXCELLERAT will prove the applicability of the results to other HPC engineering applications then the six chosen. Thus (but not only for that purpose), EXCELLERAT will extend the recipients of its developments beyond the consortium and use the tool of interest groups to integrate external stakeholders of its value network into its evolution.

Keywords: engineering,exascale,high performance computing,excellence,automotive,aeronautics,combustion,high performance data analytics,eurohpc,co design
Micro assembled Terabit/s capable optical transceivers for Datacom applications (Caladan)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Ireland,Austria,Ireland,Ireland,Israel,Germany,Germany,Germany,Belgium
Call: Photonics based manufacturing, access to photonics, datacom photonics and connected lighting (H2020-ICT-2018-2, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 6624737.5
EU funding (EUR): 5846728.75
Participants: 10
Project status: SIGNED

Data centers which underpin the Cloud are under pressure. As the capacity of data center servers is growing, so must the capacity of the links between those servers. Industry foresees a need for high volumes of 800Gb/s and 1.6Tb/s transceivers by 2025. Today, despite the use of complex Photonic Integrated Circuits (PICs), manufacturing an optical transceiver still requires a large number of sequential steps. This is because lasers and electronic chips need to be assembled on a piece-by-piece basis onto the PIC. The resulting optical engine then needs to be coupled to a fiber array and packaged. These steps are done sequentially, creating a bottleneck in the manufacturing line which makes it hard to scale up production and reduce cost. CALADAN will demonstrate how integration of lasers and electronics onto a PIC can be done fully at the wafer-level using the established micro transfer printing technique, thus eliminating this bottleneck. GaAs quantum dot lasers and 130nm SiGe BiCMOS 56Gbaud capable driver and receiver electronics will be transfer printed onto Silicon Photonic 300mm wafers. Starting from proven concepts in PIXAPP, a novel fast fiber attachment process will be demonstrated that reduces the time required for fiber attachment by an order of magnitude. Using these techniques, transceiver cost will be 0.1Euro/Gb/s for volumes of at least 1,000,000 units. The consortium, which consists of three SMEs (X-Celeprint, Innolume and ficonTEC), an LE (EVGroup), three research institutes (IMEC, Tyndall and IHP), a transceiver manufacturer (Mellanox) and a multinational (Xilinx) encompasses all the partners to start production of the targeted optical transceivers after the end of the project. Exploitation of the technology will be supported by an end-user (British Telecom), a semiconductor foundry setting up a micro transfer printing Pilot Line (MICROPRINCE, X-FAB), an optical equipment manufacturer (ADVA) and the European Photonic Industry Consortium (EPIC).

Keywords: silicon photonics,micro transfer printing,gaas quantum dot laser,photonic assembly and packaging
ENable LIGHT- and synthetic biology-driven volumetric bioprinting of functional human tissues (ENLIGHT)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Switzerland,Switzerland,Belgium,Sweden,Netherlands
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2020)
Start date: 2021-05-01
End date: 2025-04-30
Duration (months): 48.0
Total project cost (EUR): 3594925.0
EU funding (EUR): 3594925.0
Participants: 8
Project status: SIGNED

With its ability to print living cells into shapes that resemble human organs, 3D bioprinting has risen exceptional hopes in the quest to produce lab-made human tissues for biomedical applications. However, today’s bioprinting has no means to actively steer cell behaviour and morphogenesis, leaving yet unfulfilled the potential to fully capture organ functions. Challenging this current perspective, ENLIGHT merges synthetic biology, 3D printing, and photonics to develop a radically new technological concept termed optogenetic volumetric bioprinting. This ultra-fast technique uses visible light tomography to sculpt cells and biomaterials into multi-material, high-resolution, centimetre-scale living tissues within less than a minute. Through synthetic biology-inspired strategies, stem cells gain the ability to sense and respond to light patterns provided by the printer and differentiate into selected cell types, essentially permitting for the first time to 3D print cell functions. ENLIGHT targets two breakthroughs: the development of a volumetric bioprinter capable of optogenetic stimulation to instruct cell fate, and its application to build physiological-scale tissues and organoids that replicate human organ-level functionality. As proof-of-concept ENLIGHT will print vascularized endocrine pancreas models that exhibit native-like function. ENLIGHT will introduce a technology for bioprinting a new generation of reliable user-customizable in vitro models to study human biology and pathology. This is urgently needed to advance drug discovery, personalized medicine and to aid the transition to animal-free biomedical research. These results and the actions of industrial, academic and social science consortium partners, will lay the foundation to build market opportunities, leading research and innovation capacity across Europe. On the longer term, ENLIGHT envisions to offer new tools to solve donor organ shortage for transplantation and regenerative medicine.

Keywords: bioprinting,additive manufacturing,3d printing,regenerative medicine,photonic devices
GlucoBeam: A portable device for pain-free glucose self-monitoring in diabetic patients (GlucoBeam)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Denmark
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2017-03-01
End date: 2021-09-30
Duration (months): 55.0
Total project cost (EUR): 5219875.0
EU funding (EUR): 2348943.75
Participants: 1
Project status: CLOSED

Diabetes mellitus (DM) is one of the largest health challenges currently faced by modern society, affecting over 400 million people in the world. DM cannot be cured, but via well-controlled therapy, a high quality of life with diabetes can be obtained, with a minimum of short- and long-term complications. The key to a successful diabetes therapy is a well-controlled blood glucose level, which is obtained by carefully balancing insulin intake, diet, and exercise and with Self-Monitoring of Blood Glucose (SMBG) as a cornerstone. Conventional SMBG is an invasive test requiring the patient to prick his/her finger with a lancet to extract a blood droplet onto a disposable strip for electrochemical analysis of the glucose concentration. Repeating this uncomfortable and painful task 4-8 times per day leads to severe loss in life quality, often resulting in poor compliance leading to costly complications. RSP’s proprietary non-invasive SMBG technology relies on the capabilities of Raman spectroscopy for directly detecting individual substances, refined by a unique critical depth optical scanning to collect glucose signals from the right tissue depth range, thus avoiding sources of errors during the measurement. Our GlucoBeam device will enable DM patients to test their glucose levels in around 30s and as often as desired – at no added cost or pain – thereby empowering them to better manage their treatment and minimizing the risk for acute complications. GlucoBeam’s successful commercialization will position RSP to secure an aggregated turnover of approx. €253 million over the 5 years post-project period. Furthermore, it has the potential to reach double digit billion savings for EU’s healthcare systems and will ultimately lead to significantly improved life quality for the large population of diabetic patients. Moreover, GlucoBeam’s commercialization will allow RSP to set a market foothold in order to leverage its medium term innovation strategy.

Keywords: diabetes mellitus,self monitoring of blood glucose,non invasive testing,raman spectroscopy
Guaranteed fully adaptive algorithms with tailored inexact solvers for complex porous media flows (GATIPOR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: France
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2021-08-31
Duration (months): 72.0
Total project cost (EUR): 1283087.5
EU funding (EUR): 1283087.5
Participants: 1
Project status: CLOSED

Efficient use of computational resources with a reliable outcome is a definite target in numerical simulations of partial differential equations (PDEs). Although this has been an important subject of numerical analysis and scientific computing for decades, still, surprisingly, often more than 90% of the CPU time in numerical simulations is literally wasted and the accuracy of the final outcome is not guaranteed. The reason is that addressing this complex issue rigorously is extremely challenging, as it stems from linking several rather disconnected domains like modeling, analysis of PDEs, numerical analysis, numerical linear algebra, and scientific computing. The goal of this project is to design novel inexact algebraic and linearization solvers, with each step being adaptively steered by optimal (guaranteed and robust) a posteriori error estimates, thus online interconnecting all parts of the numerical simulation of complex environmental porous media flows. The key novel ingredients will be multilevel algebraic solvers, tailored to porous media simulations, with problem- and discretization-dependent restriction, prolongation, and smoothing, yielding mass balance on all grid levels, accompanied by local adaptive stopping criteria. We shall theoretically prove the convergence of the new algorithms and justify their optimality, with in particular guaranteed (without any unknown constant) error reduction and overall computational load. Implementation into established numerical simulation codes and assessment on renowned academic and industrial benchmarks will consolidate the theoretical results. As a final outcome, the total simulation error will be certified and current computational burden cut by orders of magnitude. This would represent a cardinal technological advance both theoretically as well as practically in urgent environmental applications, namely the nuclear waste storage and the geological sequestration of CO2.

Keywords: multigrid method,inexact solver,adaptive steering,local stopping criterion,a posteriori error estimate,robustness,convergence,optimality,porous media flow,environmental application
High-performance, Flexible, AUTOnomous Systems manufactured with Unique, Industrial ROLL-to-roll equipments (ROLL-OUT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: A new generation of components and systems: Engineering of advanced embedded and energy and resource efficient components and systems
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Sweden,Finland,Sweden,Portugal,Denmark
Call: Advanced Thin, Organic and Large Area Electronics (TOLAE) technologies (H2020-ICT-2014-1, 2014)
Start date: 2015-01-01
End date: 2017-12-31
Duration (months): 36.0
Total project cost (EUR): 3658942.5
EU funding (EUR): 3658942.5
Participants: 11
Project status: CLOSED

This R&I action will focus on optimally combining traditional roll-to-roll (R2R) compatible fabrication technologies such as printing with unique R2R sputtering, ALD and heterogeneous integration for flexible, thin, large-area electronics applications. It is seen that the different R2R fabrication methods all have their strengths and weaknesses such that using a cost-performance-optimized combination of them for a single production will enable new levels of applicability for TOLAE devices for mass markets. The goal of the ROLL-OUT project is to create a multi-purpose technology for, thin, large-area, high-performance, smart, and autonomous systems comprising of integrated circuits (based on metal-oxide thin-film transistors), sensors, and electronics. They will be utilized in advancing the packaging, automotive interiors and textile industries beyond their traditional scope. The key features are high-performance circuits and components. To fabricate high-performance circuits, the project intends to use novel, hybrid, moderate-temperature, roll-to-roll processes, namely sputtering, Atomic Layer Deposition (ALD) and screen-printing on thin, flexible, large-area substrates. This will enable enormous value addition to the products of European industries without adding any significant extra cost. ROLL-OUT has 5 research organizations (RO) and 5 industrial partners (IND). The action has 6 work-packages (WPs) of which 3 are led by ROs and 3 by INDs. The technology development WPs are led by ROs and demonstration and exploitation WPs are led by INDs. The action intends to create 3 tangible industrial smart, autonomous system demonstrators that will be validated by the industrial partners in accordance with standard testing protocols. The action seeks EU funding of 3.66M€ for a period of 36 months. 356,5 person-months will be dedicated to the work. The consortium consists of partners from 7 EU member states with complimentary expertise essential for the action.

Keywords: metal oxide transistors,integrated circuits,r2r sputtering,r2r ald,autonomous systems
Vaccine Media Analytics (VACMA)

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: Social Sciences and Humanities
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-02-20
End date: 2022-06-21
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

One of medical science’s greatest achievements is the development of vaccines. Even if availability is improving, prices are dropping, evidence of effects are increasing and the side effects are fewer, an increasing number of people av voluntarily choosing not to accept vaccines. This project do not focus on the very visible group of active vaccine opponents, but instead on the less visible group where vaccine is just one of many other issues in daily life. From a public health communication point of view this group is particularly interesting since they is in a phase where they are deciding if they should vaccinate. This group have been hard to study since they are hard to target both with traditional surveys and interview and by traditional media analytics only. The project will use a mixed method approach for identifying and understanding this group. The methods will have a particular focus on machine learning techniques and semantic analysis. The choice of methodology together with the hosting at FISABIO and the University of Valencia coupled with secondments at the Vaccine Confidence Project at London School of Hygiene & Tropical Medicine and with the SME Salumedia, gives the candidate an ideal environment for improving his scientific career.

Keywords: ehealth,vaccines,public health
Overcoming the Barriers of Brain Cancer Treatment: Targeted and Fully NIR Absorbing Photodynamic Therapy Agents with Extremely Low Molecular Weights and Controlled Lipophilicity (INFRADYNAMICS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Türkiye
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2019-11-01
End date: 2024-10-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Cancer is the second leading cause of death worldwide, accounting for a total of 8.8 million deaths in 2015. Research efforts have resulted in significant increase in 5-year survival rates for some cancer types, however this is not the case in brain cancer. Three fundamental issues are at the core of this reality: 1) High percentage of inoperable brain tumours; 2) Limited number of drugs that can pass through the blood-brain barrier and 3) Absence of effective targeted brain cancer therapies. Photodynamic therapy (PDT) has the potential to be a selective, effective and non-invasive alternative to current treatments, however to date it is only applicable to a small group of cancers. Realization of non-toxic, water-soluble and photostable PDT agents, with strong near infrared absorption for deep tissue penetration, that also realizes high singlet oxygen generation efficiency and effective targeting, is the key for widespread use of PDT for majority of cancers. For brain cancer specifically, low molecular weights (Mws) and controlled lipophilicity is needed as well. The ultimate aim of INFRADYNAMICS is to create and validate the first series of advanced PDT agents that meet all these requirements and to demonstrate that a significant impact on brain cancer survival rates could be achieved. First, a series of advanced fluorophores that combine the two contradicting entities – absorption in NIR region (>700 nm) and low Mws – will be realized using novel design approaches which also allow a synthetically-viable pathway to tune lipophilicity. Then, appropriate heavy atom modifications for sensitization will be pursued. Most importantly, these sensitizers will be decorated with known and novel handles towards specific targeting of glioblastoma cells to attain the final PDT agents. Photophysical properties will be investigated, and finally, in-vitro and in-vivo studies will be performed to determine the effectiveness of our agents on brain cancer treatment.

Keywords: photodynamic therapy,nir absorption,m idh1,targeted cancer therapy