Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Enabling the scalable and cheap production of efficient and stable organic-based photovoltaic technology realized via printing techniques, for electricity generation (LABandFAB)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2021-01-04
End date: 2023-01-03
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

The reduction of greenhouse emissions is currently acknowledged as a major European objective, and by 2040 a 40% emissions cut is expected, with renewable sources contributing up to 27%. In this respect LAB&FAB aims at developing the fabrication of efficient, cheap and stable organic photovoltaic (OPV) technology printed on flexible substrates, which will be scalable and eventually transferred from a lab-environment to production line. LAB&FAB action will spread on the two parallel fronts: the pilot-scale on one side, and the lab-scale on the other. At the pilot-scale, LAB&FAB will exploit state-of-the art printed OPV modules to push their efficiency, while doubling their lifetime by the end of the project. Long-term stability tests will be carried out and allow for a complete durability assessment, while technological improvements will be introduced to target the efficiency/lifetime goals, as specific weaknesses will be spotted. At the lab scale, novel and efficient materials will be thoroughly explored and characterised and optimised printing protocols will be established for their subsequent integration into solar cells large-area production. Degradation tests will also help assess the materials/devices performance, and at the end of fellowship new efficiency/lifetime benchmarks for such scaled OPV cells will be set. The Experienced Researcher (ER) acquired a solid background on physics of OPV, and thanks to this fellowship she will capitalise and expand it toward more technologically-based challenges related to its technology upscaling. The Host Institution ENI (Italy) is embracing a full transition toward a low-carbon scenario, and thanks to the multidisciplinary aspects of LAB&FAB (covering physics, device engineering, and intellectual property management just to name a few) the Host will be able to offer the ER the perfect environment for future growth and advancement of her professional career in the non-academic sector.

Keywords: solar cells,organic photovoltaic technology,scale up,stability
The New Era of Self-Care's Digitalisation. Better Health with Lower Costs More Individually. (eLive.care)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Finland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-05-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Treatment of chronic diseases create 80% of healthcare costs in the EU, annually €115 billion. The amount is continuously rising as the population ages and chronic diseases affect 8 out of 10 people aged 65 and older. However, 50-80% of chronic diseases can be prevented by reducing the risk factors and ensuring good living environment. The breakthrough innovative eLive.care -solution combines genomic tests and several at home measurements of health (ambulatory blood pressure monitor, blood glucose, cholesterol levels, sleep cycles, blood oxygen saturation) and environment (interior air quality monitors). With the support of Artificial Intelligence, the solution guides the user to independently, medically effectively and based on individual risk-factors prevent chronic diseases and their disadvantages. With the support of eLive.care -innovation several significant chronic diseases (such as cardiovascular diseases, type 2 diabetes and sleep apnea) can be detected prior to experiencing any symptom and therefore prevented. The impacts of at home preventive care are huge. By 2025 +1.1M eLive.care -devices sold, +8.8M manual and +3.9 billion (meaningful) automatic measurements done, +60k chronicity of the disease prevented, €600M saving in healthcare costs (up to 80% savings in long-term healthcare costs), €560M revenue, and 550 direct and +2300 indirect workplaces. The solution target to the market opportunity of 3.2 billion +30-year-old middle-class consumers and TAM of €5 billion. The demand is proven with €75k pre-sales and sales funnel of €76k. The solution is currently under piloting and will be launched to the market with in-house and partner sales during 2019. eLive Ecosystem Oy has enthusiastic team of nine with core competence in medical, technical and business development as well as strong partner network to support the commercialisation and scale-up.

Keywords: prevention,chronic diseases,medical device,preventive healthcare,at home device
Playing at the Gateways of Europe: theatrical languages and performatives practices in the Migrants' Reception Centres of the Mediterranean Area (PlaGE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Morocco
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2024-03-01
Duration (months): 36.0
Total project cost (EUR): 241245.12
EU funding (EUR): 241245.12
Participants: 2
Project status: SIGNED

The PlaGE project will be the first research to investigate the use of theatrical practices at the very core of the migration process: the transit-phase in the Reception centres of the Mediterranean migratory route. It will map and analyse the emerging presence of intercultural performative practices at the thresholds of Europe, focusing on four case studies in two crucial countries: Italy (which hosts the majority of the Reception Centres) and Morocco (a main EU partner in Reception policies). Thanks to a profound expertise in analysing cross-cultural theatrical practices, the experienced researcher has tailored an innovative approach combining the latest methods of Social Research and Performance Analysis. Besides conducting a qualitative study through the use of semi-structured interviews and participant observation, the research will adopt the practice-led method of “PAR” (Performance as Research), to explore the aesthetical and societal impact of theatre on the newcomers’ conditions, on the local territory and on the contemporary artistic environment. This original approach will contribute to the field of socially-engaged art, having the advantage to disseminate new operational knowledge applicable at local level across Europe. In order to face this challenging and urgent EU issue, PlaGE will adopt a high-timely Euro-African perspective, by training in two strategical Universities located at the two sides of the Mediterranean Sea: Ca’ Foscari University of Venice (Italy) and Ibn Zohr University of Agadir (Morocco). Their expertise in Migrations Studies and Arts will provide the excellence of European knowledge and African pioneering applications, enhancing the impact of research at system level. The experimental part of the research will be carried on in collaboration with the secondment institution: the Good Chance Theatre, the widest European network of artists working with asylum seekers.

Keywords: performing studies theatre science,dramaturgy,musicology,theatre,drama,migration reception centres,euro african perspective,history of theatre
KIProtect: The security layer for data science and artificial intelligence (KIProtect)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

The importance of data science, machine learning and artificial intelligence is increasing rapidly. Concepts like smart home, smart cities, connected car, Internet of Things (IoT) and industry 4.0 all require large amounts of data that need to be collected, stored and analyzed. To remain relevant and competitive, companies and public organizations alike need to follow this trend. However, the data they want to use and analyze is often sensitive, and protecting it is a difficult challenge. KIProtect solves this challenge with an entirely new, innovative approach for data security and data protection that is specifically tailored to big data and artificial intelligence: We provide a novel data pseudonymization approach based on modern cryptographic and statistical data transformation methods. This allows our customers to easily work with and share sensitive data while ensuring compliance and security, enabling them to build data-driven business processes on top of secure data streams. Our technology is currently being tested in several proof of concept (PoC) projects and demonstrably works. It is unique in that it can reliably protect high-dimensional data (e.g. images or time series) while retaining most of the data utility. We therefore have a strong USP and are currently pursuing patent protection for our core algorithm as well, which will grant us a very strong position in the large and fast-growing data security market. We plan to use the H2020 funding to prove the applicability of our approach for specific industries and to develop PoC solutions that enable companies to build secure and robust data processing systems for specific use cases. We have realized a first prototype implementation of our methods as an API and are already working with our first pilot customers to validate our business plan. The European data security market has a volume of more than 1 BN € and grows at 15 % per year. We are confident that we can become a technology leader in it.

Keywords: pseudonymization,structure preserving encryption,machine learning,data security
Flexible production cell for Hybrid Joining (FlexHyJoin)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Germany,Spain,Italy,Spain,Germany,Switzerland
Call: Industrial technologies for advanced joining and assembly processes for multi-materials (H2020-FoF-2015, 2015)
Start date: 2015-10-01
End date: 2018-12-31
Duration (months): 39.0
Total project cost (EUR): 5868683.75
EU funding (EUR): 4141347.64
Participants: 12
Project status: CLOSED

Multimaterial systems combining metals with thermoplastic fiber reinforced polymer composites (TP-FRPC) are the key for light weight design in the automotive industry. However, the joining of the material partners remains main issue. Currently, no approach exists which sufficiently meets the three core requirements: weight neutrality, cost- and time efficiency and bonding strength. Technologies like adhesive bonding or bolted joints show good results for one or two of the criterions, but not for all three of them. The FlexHyJoin project aims at the development of a joining process for hybrid components, which satisfies all three criterions. Induction Joining (IJ) and Laser Joining (LJ) are combined, since they have complementary fields of application and most of all they do not require additional material and are therefore weight neutral joining methods. Thus, the full lightweight potential is preserved. Additionally, a surface texturing method for the metal is integrated in the approach, which leads to a form closure bonding, providing a high mechanical bonding performance. Finally, a main aspect of the FlexHyJoin project is to integrate the surface texturing as well as both joining methods in a single, continuous, and fully automatized pilot process with an overall process control and supervision system. This leads to a maximum of time- and cost-efficiency and will allow the future application of the approach in the mass production of automotives. The key for the automation is an online process control and quality assurance. The FlexHyJoin project provides an essential enabler technology for future mobility concepts. The final result is an innovative joining process for fiber reinforced polymers and metals, suiting the strict requirements of automotive industry and enabling the broad application of hybrid material systems.

Keywords: laser and induction joining,hybrid materials,automated joining,automotive
Obsidian Anastomotic SafeGuard – A powerful and efficient tissue sealant method for reducing the anastomotic leak rate in colorectal surgery (Obsidian)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-04-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Obsidian ASG® is the first – and only - autologous fibrin tissue sealant applicable for gastrointestinal anastomosis, that will significantly decrease the anastomotic leak rate, following gastrointestinal resection when treating Inflammatory Bowel Diseases (IBDs) or Colorectal Cancer. The current number of anastomotic leak rates is a large societal issue, as studies show rates as high as 19%. Considering that approx. 1.8 million new cases of colorectal cancer will occur worldwide in 2018 (being the 3rd most common cancer type), the number of leaks is astonishing – and this is only for colorectal cancer. Adding the number of IBD patients needing a resection, Obsidian ASG® faces a market potential of 0.79M patients just in Europe, Asia and Oceania every year. Leveraging on this market opportunity, Obsidian ASG® contains all the components needed for on-site prepation and application of an autologous platelet rich fibrin selant – a preparation that can be completed in less than 30 minutes. As the only product in the market, Obsidian ASG® offers 1) a long-term cost-effective procedure for gluing and sealing intestinal stump-ends; 2) A fast and natural stimulation of wound healing that significantly reduces the anastomotic leak rates; and 3) Full biocompatibility, eliminated risk of blood disease transmission and no thrombin or bovine components added to the blood or Obsidian ASG® solution at any time during the process. Yet, to reach market commercialization, we need to conduct a clinical study of Obsidian ASG® with 300+ colorectal pre-surgery patients. The SME P1 grant will be crucial for completing the design of the clinical study as well as setting up key partnerships for the proposed clinical study (to be set up in a SME-2b Instrument Project). As such, the SME-Instrument represents a huge opportunity for Vivostat A/S, as we expect to grow a solid business case year 1-5 post-project, with a total revenue of €24.97M and profits of €14.42M.

Keywords: fibrin tissue selant,gastrointestinal surgery,abdominal surgery,colorectal surgery,anastomosis sealing and healing,reducing anastomotic leak rates
Functional Genomics of the Lysosome (LYSOSOMICS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Italy
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2022-03-31
Duration (months): 66.0
Total project cost (EUR): 2362562.5
EU funding (EUR): 2362562.5
Participants: 1
Project status: CLOSED

For a long time the lysosome has been viewed as a “static” organelle that performs “routine” work for the cell, mostly pertaining to degradation and recycling of cellular waste. My group has challenged this view and used a systems biology approach to discover that the lysosome is subject to a global transcriptional regulation, is able to adapt to environmental clues, and acts as a signalling hub to regulate cell homeostasis. Furthermore, an emerging role of the lysosome has been identified in many types of diseases, including the common neurodegenerative disorders Parkinson's and Alzheimer’s. These findings have opened entirely new fields of investigation on lysosomal biology, suggesting that there is a lot to be learned on the role of the lysosome in health and disease. The goal of LYSOSOMICS is to use “omics” approaches to study lysosomal function and its regulation in normal and pathological conditions. In this “organellar systems biology project” we plan to perform several types of genetic perturbations in three widely used cell lines and study their effects on lysosomal function using a set of newly developed cellular phenotypic assays. Moreover, we plan to identify lysosomal protein-protein interactions using a novel High Content FRET-based approach. Finally, we will use the CRISPR-Cas9 technology to generate a collection of cellular models for all lysosomal storage diseases, a group of severe inherited diseases often associated with early onset neurodegeneration. State-of-the-art computational approaches will be used to predict gene function and identify disease mechanisms potentially exploitable for therapeutic purposes. The physiological relevance of newly identified pathways will be validated by in vivo studies performed on selected genes by using medaka and mice as model systems. This study will allow us to gain a comprehensive understanding of lysosomal function and dysfunction and to use this knowledge to develop new therapeutic strategies.

Keywords: lysosome,autophagy
Leveraging Binary Analysis to Secure the Internet of Things (BASTION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-03-01
End date: 2020-02-29
Duration (months): 60.0
Total project cost (EUR): 1472268.75
EU funding (EUR): 1472268.75
Participants: 1
Project status: CLOSED

We are in the midst of the shift towards the Internet of Things (IoT), where more and more (legacy) devices are connected to the Internet and communicate with each other. This paradigm shift brings new security challenges and unfortunately many current security solutions are not applicable anymore, e.g., because of a lack of clear network boundaries or resource-constrained devices. However, security plays a central role: In addition to its classical function in protecting against manipulation and fraud, it also enables novel applications and innovative business models. We propose a research program that leverages binary analysis techniques to improve the security within the IoT. We concentrate on the software level since this enables us to both analyze a given device for potential security vulnerabilities and add security features to harden the device against future attacks. More specifically, we concentrate on the firmware (i.e., the combination of persistent memory together with program code and data that powers such devices) and develop novel mechanism for binary analysis of such software. We design an intermediate language to abstract away from the concrete assembly level and this enables an analysis of many different platforms within a unified analysis framework. We transfer and extend program analysis techniques such as control-/data-flow analysis or symbolic execution and apply them to our IL. Given this novel toolset, we can analyze security properties of a given firmware image (e.g., uncovering undocumented functionality and detecting memory corruption or logical vulnerabilities,). We also explore how to harden a firmware by retrofitting security mechanisms (e.g., adding control-flow integrity or automatically eliminating unnecessary functionality). This research will deepen our fundamental understanding of binary analysis methods and apply it to a novel area as it lays the foundations of performing this analysis on the level of intermediate languages.

Keywords: binary analysis,program analysis,software security,retrofitting security
High-performance data-centric stack for big data applications and operations (BigDataStack)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: BDVA (cPPP)
Countries involved: Spain,Germany,Spain,Italy,Israel,Italy,Cyprus,Greece,Greece,Greece,Romania,United Kingdom,United Kingdom,United Kingdom
Call: Big data PPP: research addressing main technology challenges of the data economy (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2020-12-31
Duration (months): 36.0
Total project cost (EUR): 4999712.5
EU funding (EUR): 4999712.5
Participants: 22
Project status: CLOSED

The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BigDataStack delivers a complete high-performant stack of technologies addressing the emerging needs of data operations and applications. The stack is based on a frontrunner infrastructure management system that drives decisions according to data aspects thus being fully scalable, runtime adaptable and performant for big data operations and data-intensive applications. BigDataStack promotes automation and quality and ensures that the provided data are meaningful, of value and fit-for-purpose through its Data as a Service offering that addresses the complete data path with approaches for data cleaning, modelling, semantic interoperability, and distributed storage. BigDataStack introduces a pioneering technique for seamless analytics which analyses data in a holistic fashion across multiple data stores and locations, handling analytics on both data in flight and at rest. Complemented with an innovative CEP running in federated environments for real-time cross-stream processing, predictive algorithms and process mining, BigDataStack offers a complete suite for big data analytics. BigDataStack holistic solution incorporates approaches for data-focused application analysis and dimensioning, and process modelling towards increased performance, agility and efficiency. A toolkit allowing the specification of analytics tasks in a declarative way, their integration in the data path, as well as an adaptive visualization environment, realize BigDataStack’s vision of openness and extensibility. With an emphasis on standardisation and open source contributions targeting high impact, BigDataStack will enable data operations and data-intensive applications to take full advantage of the developed technologies, exhibiting their applicability through three commercial use cases from the maritime, market and financing domains.

Keywords: data driven infrastructure management,data as a service,seamless data analytics,adaptive visualization