Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Targeting Cartilage Regeneration in joint and intervertebral disc diseases (TargetCaRe)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Israel,Switzerland,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,United Kingdom,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-03-01
End date: 2019-02-28
Duration (months): 48.0
Total project cost (EUR): 3971459.88
EU funding (EUR): 3971459.88
Participants: 13
Project status: CLOSED

Mobility, important for well-being, is seriously impaired by chronic low back pain and osteoarthritis in many people due to degeneration of cartilaginous tissue of the intervertebral disc and joint. To develop a treatment for these diseases this ETN aims to combine expertise in novel highly advanced drug delivery carriers with dedicated targeting tools, state of the art imaging techniques and expertise in stem cell and joint biology by training 15 young scientists in 12 partner institutes located in 5 different countries. We aim to achieve regeneration of damaged and degenerated tissues by employing targeting strategies tailored both to the pathology and the tissues involved. Regeneration of diseased tissues will be achieved by loading biologically active agents in state-of-the-art nanocarriers. The biologically active agents will stimulate the body’s own capacity to regenerate by attracting local stem cells or inhibit degeneration. Targeting will be achieved by A] injection with synthetic or natural hydrogels loaded with the nanocarriers or B] coupling diseased tissue-specific antibodies and specific hyaluronic acid moieties to the nanocarriers. Delivery and retention will be monitored by advanced in vivo and molecular imaging techniques to monitor distribution of the delivered compounds at the tissue level, as well as detect biological markers of regeneration. Major objectives: 1] To establish a network of scientists skilled in the use of smart nanocarriers, unique approach of targeting by disease-specific molecules and application of innovative imaging tools. Supported by generic scientific and training in economical and clinical valorisation, these researchers can further implement these technologies in the musculoskeletal or other areas, both in academia and industry. 2] To develop strategies exclusively targeting diseased tissues with controlled doses of bio-actives, circumventing the disadvantages of the current shotgun approaches in regenerative medicine.

Keywords: nanocarriers,imaging,cartilage,intervertebral disc,targeted delivery
Genomics of Ageing in Elephants: Genomic architecture of senescence in a long-lived mammal (GAE)

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: Life Sciences
Countries involved: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2020-08-09
Duration (months): 24.0
Total project cost (EUR): 179325.6
EU funding (EUR): 179325.6
Participants: 1
Project status: CLOSED

European populations are ageing, and this has important health, economic and social consequences. Yet in order to manage these, we need to understand the complex phenomenon of "biological age", and in particular its genetic determinants. It is now established that longevity insurance genes such as TP53 mitigate the roles of mitochondrial function, oxidative stress and telomere shortening, and that these genes are also involved in ageing, with senescence and cancer being two faces of the cell growth balance. Thus, longevity is a trade-off between cancer and ageing, but also possibly fertility and menopause. In that respect, Asian elephants are a fascinating model: similar to humans in lifespan, senescence, and selection for grandmotherhood, they are almost exempt of cancer, contrary to predictions based on their large size. Recently, multiple retrocopies of TP53 have been identified in elephants: a strong argument to consider that cancer-avoidance and a long lifespan are the product of genetic adaptations in proboscideans. The genetic architecture of human-like ageing is impossible to study in classical short-lived models, as they lack the traits that make human life-history special, like a post-reproductive lifespan. Therefore, I propose to use a unique century-long dataset on life-history and health records for thousands of Asian elephants, currently explored by Prof. Lummaa's international-level team through behavioural ecology and ecophysiology at University of Turku. Together with my secondment host Prof. Bertorelle at University of Ferrare, I will apply my skills in cutting-edge genomic methods to disentangle the hereditary and individual determinants of ageing in long-lived mammals. By bringing these different competences together on a one-of-its-kind dataset, I will exploit this unique and exciting opportunity to explore the genomics of senescence through a multi-disciplinary approach, which may yield important insights for understanding human ageing.

Keywords: life history,oxidative stress
European Training Network on Sustainable Multi-functional Automated Resilient Transport Infrastructures. (SMARTI ETN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Italy,Italy,Australia,Germany,Spain,Italy,Ireland,Hong Kong,France,France,France,United States,United Kingdom,Denmark,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2017-03-01
End date: 2021-08-31
Duration (months): 54.0
Total project cost (EUR): 3990940.92
EU funding (EUR): 3990940.92
Participants: 30
Project status: CLOSED

Sustainable Multi-functional Automated Resilient Transport Infrastructures ETN, will bring together a stimulating platform where the stakeholders of the transport infrastructure sector will work alongside world-wide experts in smartening of systems (developers of high-tech sensors, advanced monitoring equipment, automated structures, etc.,) with direct support from the roads, railways and airports managers. This environment will enable talented graduates to conceive the transport infrastructure network of the future and will provide them with world-wide extended training in each of the four pillars supporting the SMARTI vision: designed to last by maximising recycling and minimizing impact (Sustainable), conceived not for transport purposes only and towards optimisation of land use (Multi-functional), equipped for communicating with managers and users, to allow a more intuitive use and a simplified management (Automated), built to be adaptable to natural and anthropogenic hazards (Resilient). The consortium will combine and share expertise to offer advanced scientific training structured into network-wide thematic taught modules combined with original research supported by secondments that will expose fellows to both academia and industry and will also allow them with the possibility to be award with Doctoratus Europeus. The training programme will be enriched by specific modules to support job creation by enabling the fellows with business, entrepreneurship, communication, project management and other transferrable skills. A tailored Dissemination strategy will evaluate the variety of channels and means appropriate to allow the fellows to be prepared and successful in reaching both scientific and larger public audiences. As a result, SMARTI ETN will create a new generation of highly-skilled and appealing professionals that will be in great demand in this rapidly expanding field and will benefit Europe and developing countries

Keywords: smart infrastructures,transport,sustainability,energy harvesting,automated structures,resiliency,sensors,wireless,road,pavement,railway,trackbed,airport,tarmac,bridge,smart technology
Working, Yet Poor (WorkYP)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Italy,Poland,Belgium,Poland,Sweden,Belgium,Netherlands,Netherlands,Netherlands,Luxembourg
Call: Enhancing social rights and EU citizenship (H2020-SC6-GOVERNANCE-2019, 2019)
Start date: 2020-02-01
End date: 2023-01-31
Duration (months): 36.0
Total project cost (EUR): 3244294.0
EU funding (EUR): 3244294.0
Participants: 17
Project status: CLOSED

The project Working and Yet Poor (WorkYP) is focused on the increasing social trend of working people at risk or below the poverty line. The Consortium will devote its research to explore the reasons of such phenomenon and elaborate recommendations to the EU and MSs legislators, to enhance the goals proclaimed in the European Pillar of Social Rights. The WorkYP Project will analyse seven representative Countries (Sweden, Italy, The Netherlands, Belgium, Luxembourg, Germany, and Poland), selected on the basis of their geographical area, as well as their different social systems and legal orders. In each such Country, the WorkYP Project has identified four clusters of particularly Vulnerable and Underrepresented Persons (VUP Groups), which disadvantaged conditions impede full enjoyment of EU citizenship. Attenuating divergent trends across Europe will effectively prevent the risk of social dumping and reduce economic shocks. Only tackling vertically the vulnerabilities of VUPs and attenuating inequalities across diverging regimes will grant EU citizens, mostly those who do not circulate, regaining confidence in public governance and substantiating their citizenry’s status.

Keywords: in work poverty,eu citizenship,social rights,living wage,european pillar of social rights
Polymer-based piezoelectric nanogenerators for energy harvesting (NANOGEN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-04-01
End date: 2020-03-31
Duration (months): 60.0
Total project cost (EUR): 1635710.0
EU funding (EUR): 1635710.0
Participants: 1
Project status: CLOSED

Energy harvesting (EH) from ambient vibrations originating from sources such as moving parts of machines, fluid flow and even body movement, has enormous potential for small-power applications such as wireless sensors, flexible, portable and wearable electronics, and bio-medical implants, to name a few. Nanoscale piezoelectric energy harvesters, also known as nanogenerators (NGs), can directly convert small scale ambient vibrations into electrical energy. Scavenging power from ubiquitous vibrations in this way offers an attractive route to supersede fixed power sources such as batteries that need replacing/recharging, and that do not scale with the diminishing size of modern electronics. This proposal aims to develop NGs for future self-powered smart devices. Ceramics such as lead zirconium titanate and semiconductors such as zinc oxide are the most widely used piezoelectric EH materials. This proposal however focuses on a different class of piezoelectric materials, namely ferroelectric polymers, such as polyvinlyidene fluoride (PVDF), its copolymers, and nylon. These are potentially superior EH materials as they are flexible, robust, lightweight, easy and cheap to fabricate, as well as being lead-free and bio-compatible. The key strategy of this proposal is in combining i) materials engineering to create novel piezoelectric polymer-ceramic nanocomposite materials with enhanced EH functionalities, ii) state-of-the art nanoscale characterization to explore and exploit these novel materials, and iii) fabrication of high performance NGs for implementation into commercial devices, using insight gained from modelling of materials and device parameters. The proposed research will culminate in a well-defined process for the large-scale production of highly efficient and low cost piezoelectric NGs with reliable EH performance to power the next generation of autonomous devices, thus steering the field into the renewable energy market as a clean and competitive technology.

Keywords: energy harvesting,nanogenerators,piezoelectric materials,ferroelectric polymers,sensors
SPAtially-Controlled lIgand arraNGement by origami-based nanoprinters (SPACING)

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: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-04-01
End date: 2026-03-31
Duration (months): 60.0
Total project cost (EUR): 1498866.0
EU funding (EUR): 1498866.0
Participants: 1
Project status: SIGNED

The key challenge of SPACING is to develop a beyond state-of-the-art technology to self-assemble pre-designed 3D ligand configurations with sub-nanometer precision (nanopatterning) onto colloidal nanoparticles (NPs). The proposed aqueous-based technology is aimed to develop artificial NP´s libraries with a pre-designed discrete number of ligands in any desired spatial arrangement (i.e., inspired by nature such as virus capsids), which so far has not been feasible by any method (in solution or otherwise). Within this project we will design and develop a versatile, reusable and user-friendly DNA origami-based tool (nanoprinters) for printing ligands onto NPs; the multifunctionality and robustness of the nanoprinters required for such purpose will involve a first stage concerning the fabrication of libraries of NPs (different size and shape), for which we will design and assemble the corresponding libraries of DNA-origamis having pre-designed voids (shape, size, 3D ligand “stamps”). In a second stage, as a proof of concept inspired by previous knowledge on specific receptor-mediated endocytotic pathways and virus-cell interactions, we will use the nanoprinters to fabricate a discrete number of NPs with specific ligand configurations (ligand ID, number, density and 3D arrangement). The trafficking behavior of these bio-inspired NPs within cells and tissue models, will serve us to correlate their potential escape from endosome (thereby avoiding lysosomal degradation as viruses do). While the overall mission behind this project is to build the foundation for a technological implementation of artificial NPs with pre-designed 3D ligand configurations, and their potential to escape lysosomal degradation as viruses do, the proposed demonstrations will contribute to advance future developments in nanomedicine (this approach would be easily extended to any nanocarrier), and other applications in which precision is important (e.g.,formation of metamaterials by NPs self-assembly)

Keywords: colloidal chemistry,surface engineering,nanoparticles,nanobiointeractions,dna origami
Personalised public services in support of the implementation of the CAP (RECAP)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Innovation actions
Countries involved: Spain,Greece,Lithuania,Lithuania,Serbia,Belgium,Greece,Greece,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: ICT-enabled open government (H2020-INSO-2015-CNECT, 2015)
Start date: 2016-05-01
End date: 2018-10-31
Duration (months): 30.0
Total project cost (EUR): 2669940.0
EU funding (EUR): 2142381.75
Participants: 14
Project status: CLOSED

Public administrations responsible for the implementation of the Common Agricultural Policy (CAP) need to monitor farmers’ compliance to standards. Monitoring is performed by in-field visits and through remote sensing. Due to the high complexity and diversity of the obligations that need to be monitored, both methods have limitations, and entail a high cost for public administrations. RECAP proposes a methodology for improving the efficiency and transparency of the compliance monitoring procedure through a cloud-based Software as a Service (SaaS) platform which will make use of large volumes of publicly available data provided by satellite remote sensing, and user-generated data provided by farmers through mobile devices (geo-referenced and time-stamped photos). The RECAP platform will extract useful features from Earth Observation open data, correlate them with user-generated and geo-information data available to public organisations, and model this information for enabling the identification of potential breaches of compliance by public authorities and inspectors. RECAP will offer farmers a tool supporting them to comply with regulations imposed by the CAP, providing personalised information for simplifying the interpretation of complex regulations, and early alerts on potential breaches. RECAP will allow agricultural consultants and developers to create add-ons to the main application that extend its functionality and exploit the data collected through an Application Programming Interface (API), and a Software Development Kit (SDK). Consultants will be able to access data available in the platform, subject to security and privacy policies, and to develop their own services within the platform using design tools, libraries, and communication with the database under an open approach. The RECAP services will be tested and validated in an operational environment in 5 countries with the participation of public authorities, farmers, and agricultural consultants.

Keywords: public services,personalised,common agricultural policy,farmers,cross compliance
Kunak Sensing Anywhere, an ultra-energy-efficient wireless critical system for smart environmental monitoring (K-Smart Environment)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-10-01
End date: 2021-06-30
Duration (months): 33.0
Total project cost (EUR): 2282108.75
EU funding (EUR): 1597476.13
Participants: 1
Project status: CLOSED

Companies and other organizations need to monitor different parameters related to "air, water and land". Some organizations need to monitor these parameters to control potential pollution (Smart cities and polluting industries), while other organizations monitor the parameters to manage certain assets (cycle water management companies, utility companies, etc.). Outside of the plants where the Industry 4.0 is developing, it is not possible to have these variables controlled except by deploying extremely expensive solutions and/or with a great environmental impact (cabling, civil works, new infrastructures). Kunak is an innovative solution to deploy wireless monitoring systems whose ultra-energy efficiency characteristics and end-to-end critical system architecture (from the environmental data analysis device to the platform cloud) provide great advantages in isolated, remote and complex environments, guaranteeing the robustness and integrity of 24/7 communications, which makes it a globally unique solution. The new Kunak system measures the main greenhouse gases that have direct effects on climate change. In regard to the monitoring of air quality, Kunak solution is unique because it monitors air quality with the same accuracy as official stations with small scale devices at a cost 60 times lower. Kunak has been successfully implemented with more than 30 clients. We have received 9 letters of interest, highlighting two from the largest companies included in the world’s top sustainability indexes. Following the market survey conducted in SME Instrument Phase 1, we decided to extend the innovation project in Phase 2 with several technological improvements, testing activities and preparing for large scaled commercialisation of our Kunak System. The important advantages provided by Kunak compared to current solutions will make it easier for us to be leaders in the new market that is emerging and to fulfil our mission: “Kunak utilises IoT to save the environment”.

Keywords: iiot,internet of things,wireless,cloud,apps,ultra low power consumption,ultra energy,efficient,end to end,autonomous,monitoring,controlling,environment,pollution,climate
Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data (OPTIMISED)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Germany,France,France,France,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: ICT-enabled modelling, simulation, analytics and forecasting technologies (H2020-FoF-2015, 2015)
Start date: 2015-11-01
End date: 2018-10-31
Duration (months): 36.0
Total project cost (EUR): 7012637.5
EU funding (EUR): 7012637.25
Participants: 13
Project status: CLOSED

OPTIMISED aims to develop novel methods and tools for deployment of highly optimised and reactive planning systems that incorporate extensive factory modelling and simulation based on empirical data captured using smart embedded sensors and pro-active human-machine interfaces. The impact of energy management on factory planning and optimisation will be specifically assessed and demonstrated to reduce energy waste and address peak demand so that operations that require or use less energy, can allow this excess energy to be re-routed to local communities. The OPTIMISED environment will use semantically enriched process modelling, big-data generation, capture and perform analytics to effectively support planning specialists, manufacturing engineers, team leaders and shopfloor operatives throughout the systems lifecycle. These next generation manufacturing systems supported by data rich manufacturing execution systems with OPTIMISED technology will support a dramatic improvement in system performance, improved operational efficiency and equipment utilisation, real-time equipment and station performance monitoring, adaptation and resource optimisation. The OPTIMISED vision will be achieved by developing systems which are able to: 1. Monitor system performance through an integrated sensor network, automatically detecting bottlenecks, faults and performance drop-off 2. Continuously evolve to respond to disruptive events, supply chain disruptions and non-quality issues through factory simulation modelling 3. Improve understanding and monitoring of energy demand curve and energy usage per industrial process and globally improve efficiency of production line through reduced energy waste 4. Understand potential benefits, added value and impacts of participating in Demand Side Response (DSR) processes and becoming an active player in the changing energy industry, instead of remaining a conventional passive element that simply acquires a service from energy providers

Keywords: reactive scheduling and planning systems optimisation big data generation,data capture and data analytics energy demand side response supply chain disruptions and non quality issues