Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Pulsed Rapid ultra-short laser surface texturing for Manufacture of FlexiblE and CusTomisEd ProdUctS (PROMETHEUS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Spain,Ireland,Italy,Germany,Spain,Germany,Spain,Spain,Ireland,Israel,Türkiye,Belgium,France,United Kingdom,United Kingdom,United Kingdom
Call: Photonics based manufacturing, access to photonics, datacom photonics and connected lighting (H2020-ICT-2018-2, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 6356235.0
EU funding (EUR): 6356235.0
Participants: 18
Project status: SIGNED

PROMETHEUS will deliver the next generation in high power ultra-short pulse laser surface processing. The project will develop key enabling component technologies including; ultra-short pulse laser architectures with pulse duration in the range 700 ps – 10ns, average power >1kW and pulse repetition rates >500Hz. These innovative laser solutions will be combined with laser optics (diffractive optic element beam splitting and M2 transformations), optical fibre delivery and in-process inspection and control to enable high throughput, high spatial resolution Direct Laser Interference Patterning (DLIP) surface processing. The PROMETHEUS integrated system will be demonstrated to deliver unprecedented surface texturing speeds of up to 5 m2/ min, enabling high resolution features down to 1 µm to be produced with minimal heat impact on work pieces. PROMETHEUS will specifically take the current technology development from TRL 4 to TRL 6 within a 3-year programme and will deliver an integrated laser processing demonstrator as an objective of the project. This demonstrator system will be capable of delivering a broad range of surface functionalities onto metals, polymers and ceramics. PROMETHEUS is an ambitious project representing a pan-European EU consortium of world leading industrial and research partners with 4 multinational end-user representatives, Maier, Johnson and Johnson, Fiat Chrysler Automobile group and Arcelik will critically assess the projects outputs against current industrial processes. These major end-users represent the automotive, white goods and fast-moving consumer goods markets and will test both the process and the resultant surfaces again current production for a range of applications, including: non-stick, low wear/friction, oleophobic and hydrophobic properties. By demonstrating high-speed processing and commercial application of the technology, PROMETHEUS will overcome the main limitations currently preventing large scale commercialisation.

Keywords: usp lasers,materials processing,materials texturing,high power lasers,direct laser interference patterning,surface functionalization,automotive,fast moving consumer foods,white goods
Therapeutic molecules and druggable sites to suppress aberrant ion channel activity in cancer. (InterTask)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2024-09-30
Duration (months): 36.0
Total project cost (EUR): 275209.92
EU funding (EUR): 275209.92
Participants: 1
Project status: SIGNED

TASK-3 is a potassium channel member of the recently discovered two-pore potassium channels family (K2P) responsible for the background current maintaining the membrane resting potential. TASK-3 is involved in several neurological diseases but recent studies pointed out its oncogenic potential. TASK-3 aberrant expression was detected in breast, lung and colorectal cancer cells. This research proposal aims at 1) generate antibodies that can directly reduce TASK-3 function. The potency, the binding mode of the best antibodies will be characterized functionally and structurally to provide an atomic-resolution view of the mechanism of binding, paving the way for antibody engineering. The structural approach will also produce the three-dimensional structure of TASK-3, which will deepen our understanding on the biophysical properties of this channel and its involvement in several other pathologies. 2) Reduce TASK-3 activity by understanding the molecular basis of its trafficking to the membrane. The project aims at providing a structural and functional analysis of the complex between TASK-3 and the cation cotrasporter KCC2, a recently identified partner that affect TASK-3 trafficking to the membrane. Structural information on the complex will uncover regions of the channel involved in binding protein partners, opening the possibility of pursuing these protein-protein interactions surfaces as targets for drug discovery, with the ultimate goal of modulating ion channel activity. I will undertake a multidisciplinary study that spans protein biochemistry, structural biology, electrophysiology and antibody engineering. The project tackles – side by side - basic science questions (ion channel structure and regulation) and translational research (antibody-based therapy). It offers a molecular understanding of the structural and biophysical properties of TASK-3 -currently unavailable- and opens the venue to the therapeutic targeting of this ion channel.

Keywords: ion channels,antibodies,membrane trafficking,protein protein interaction,electrophysiology
Reshaping labour force participation with Artificial Intelligence (AI4LABOUR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Spain,Ireland,Spain,Ireland,Türkiye,France,United Kingdom,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2020, 2020)
Start date: 2021-11-01
End date: 2025-10-31
Duration (months): 48.0
Total project cost (EUR): 713000.0
EU funding (EUR): 713000.0
Participants: 9
Project status: SIGNED

In the last decade, due to the tremendous progress of computing power, a new era which is called Industry 4.0 has been triggered. This new revolutionary progress in manufacturing systems will also create a huge impact on the socio-economic dynamics of society. Moreover, very recent pandemic conditions caused by COVID19 disease show that the modern labor force highly sensitive to the conditions and they are subject to change. Technologies based on data processing are changing not only the manufacturing standards but also the daily life of the people. Given that studies on future of work mentioned the possibility of automation of 30 percent of global working hours by 2030, it is important to take into account that Artificial Intelligence (AI) can take on the monotonous and repetitive aspects of works that are done by humans when some jobs will be automated. This may ensure focusing on more strategic or more analytical works. To offer a solution to this problem, this project proposal entitled “Reshaping labor force participation with Artificial Intelligence-AI4LABOUR” aims to predict which kind of new occupations will appear in near future and which kind of skills will be needed to get these new occupations. This can be achieved in this project in cooperation with different disciplines and sectors and in this way; the collaboration between different disciplines and sectors improve the impact of AI4LABOUR. Shortly, in the context of AI4LABOUR, required training to obtain these required skills would also be designed and planned. To achieve this goal, an innovative skill-based modeling and skill development methodology armed with AI techniques will be designed for the labor force. This novel methodology will be the building block of a web portal, which will serve as a recommendation tool for all actors - individuals, companies, institutions, and policymakers.

Keywords: macroeconomics,labour force,machine,deep learning,statistical data,artificial intelligence
Designing Advanced Functionalities through controlled NanoElement integration in OXide thin films (DAFNEOX)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Spain,Spain,Belgium,Serbia,Netherlands,Chile
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2014, 2014)
Start date: 2015-07-01
End date: 2019-06-30
Duration (months): 48.0
Total project cost (EUR): 769500.0
EU funding (EUR): 769500.0
Participants: 8
Project status: CLOSED

The aim of this project is to develop new inexpensive, scalable and efficient bottom –up approach for positioning nanoobjects in regular patterns and to implement them in optoelectronic technology, which is the major challenge in nanotechnology today. The synergy between the quasi zero-dimensional elements and functional oxides with an exceptional range of properties (ferromagnetism, ferroelectricity, …) opens a completely new concept to nanoelectronics. Devices based on these materials would offer functionality beyond the achievable limits, with wide range of applications from spintronics and catalytics to optoelectronics. To achieve this objective, controlled integration of nanoelements on top of self-organized functional oxide nanotemplates will be explored. Optimum conditions will be achieved by a synergetic approach: growth processes will be guided by theoretical studies followed by an exhaustive charge transport, optical and magnetic characterization. In addition, transport and optoelectronic properties of the individual nanoelements will be studied separately to gain insides about their fundamental characteristics and serve as a model system in the interpretation of complex nanoparticle/oxide behaviour. The specific applications targeted in this proposal are based on novel photonic and spintronic materials. We will focus on obtaining devices with the highest photonic response and spin control. Our project brings together experts in experimental and theoretical physics including materials science and advanced magnetoelectronic/spectroscopic expertise and one spin-off which will ensure proof of concept of a new generation of optoelectronic devices. The complementary background of different groups and the foreseen mobility will assure the good development of this proposal. The proposal will be realised in iterative steps between preparation, advanced characterization and theoretical prediction up to implementation process through Spin-off Company.

Keywords: thin film oxides and nanoparticles,advanced functional materials,nanostructured materials
A NOVEL FRAMEWORK FOR MULTI-CLOUD SERVICES DEVELOPMENT, ORCHESTRATION, DEPLOYMENT AND CONTINUOUS MANAGEMENT FOSTERING CLOUD TECHNOLOGIES UPTAKE FROM DIGITAL SMES AND STARTUPS (UNICORN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Spain,Germany,Italy,Germany,Cyprus,Belgium,Greece,Greece,Sweden,United Kingdom
Call: Cloud Computing (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 4173850.0
EU funding (EUR): 3415487.0
Participants: 11
Project status: CLOSED

Unicorn aims to simplify the design, deployment and management of secure and elastic –by design- multi-cloud services. This will be achieved by a) development and design libraries that will provide security enforcement mechanisms, data privacy restrictions, monitoring metric collection and resource management; b) enabling continuous orchestration and automatic optimization of portable and dynamic cloud services running on virtual instances or micro-execution containers for increased security, data protection privacy and vast resource (de)-allocation. Towards this end, and building upon this umbrella concept, the Unicorn vision can be considered two-fold: to enable software developers to design and develop secure and elastic applications and to increase the awareness of all stakeholders, in particular SMEs and Startups. Unicorn will reduce software release time and provide a powerful tool for SMEs to improve software design and continuous productivity enhancement. The innovation activities in the Unicorn project will be based upon existing solutions and developments to the largest possible extent, and build upon the S&T results of European RIA projects including CELAR, PaaSport, PaaSword and ARCADIA.

Keywords: security by design,elasticity by design,multi cloud services,cloud governance and monitoring,multi cloud orchestration,cloudification,cloud apps lifecycle management
Generalization in Mind and Machine (M and M)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-09-01
End date: 2024-02-29
Duration (months): 78.0
Total project cost (EUR): 2495578.0
EU funding (EUR): 2495578.0
Participants: 1
Project status: SIGNED

Is the human mind a symbolic computational device? This issue was at the core Chomsky’s critique of Skinner in the 1960s, and motivated the debates regarding Parallel Distributed Processing models developed in the 1980s. The recent successes of “deep” networks make this issue topical for psychology and neuroscience, and it raises the question of whether symbols are needed for artificial intelligence more generally. One of the innovations of the current project is to identify simple empirical phenomena that will serve a critical test-bed for both symbolic and non-symbolic neural networks. In order to make substantial progress on this issue a series of empirical and computational investigations are organised as follows. First, studies focus on tasks that, according to proponents of symbolic systems, require symbols for the sake of generalisation. Accordingly, if non-symbolic networks succeed, it would undermine one of the main motivations for symbolic systems. Second, studies focus on generalisation in tasks in which human performance is well characterised. Accordingly, the research will provide important constraints for theories of cognition across a range of domains, including vision, memory, and reasoning. Third, studies develop new learning algorithms designed to make symbolic systems biologically plausible. One of the reasons why symbolic networks are often dismissed is the claim that they are not as biologically plausible as non-symbolic models. This last ambition is the most high-risk but also potentially the most important: Introducing new computational principles may fundamentally advance our understanding of how the brain learns and computes, and furthermore, these principles may increase the computational powers of networks in ways that are important for engineering and artificial intelligence.

Keywords: symbolic,non symbolic,neural networks,connectionism,object recognition,word identification
Establishing new eco-driving methods to score drivers and to enhance good driving habits based on advanced analytical B2B software platform for Connected Cars. (Cloud Your Car UBI)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Poland
Call: Small business innovation research for Transport (H2020-SMEINST-1-2015, 2015)
Start date: 2016-02-01
End date: 2016-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Meeting demand for sustainable car fleet management is set to be a crucial challenge for future road safety, the fuel economy and CO2 emissions. For that reason, our company IOT (cloudyourcar.com) wants to induce positive behavioral changes to opt for more eco-friendly choices, which are translated into cost-effectiveness of the car and impact on the environment. We aim to develop an analytical B2B software platform for Connected Cars for establishing new eco-driving methods to enhance good driving habits. To do so, co-founders rely on their cooperation with logistics, transportation, shipping, software and telecom companies. Our solution is a vision where server-side machine-learning algorithms study each individual user’s driving patterns, recognize risky behaviours and advise on activities that could increase road safety while reducing the fuel consumption. To fully commercialize this EU-based technology, a comprehensive business model was proposed. Future growth will be driven through alliances with Insurance Providers, as an application measures the actual quality of the driving and discounts on insurance; it helps attract premium users and reduce the costs of claims. The end-users include consumers having vehicle or fleets, those likely to pay less for their insurance and those who wish to maintain well their fleet and control fuel consumption (SMEs, fleet owners, young drivers). The goal is to enter firstly European countries (UK, Germany, Italy, France, Spain), where Insurers do not have a telematics strategy in a place with the further aim of reaching the USA, Canada and possibly LATAM (with early adopters and followers). As the project addresses the problem of a lack of a green driving support system to score or influence drivers, our B2B software platform with Car Beacon has already attracted the attention of the big players of the Insurance Sector and Telecom Companies which would like to participate in pilot deployments involving worldwide drivers.

Keywords: connected car,car beacon,fuel economy and co2 emissions,the road safety,fleet management,telematics solution,car insurance providers,new eco driving methods,driving patterns
Proposal title GREEce: modeliNg of the FOREst SEctor EcoNomy (GREEN FORESEEN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Greece,Greece
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-09-01
End date: 2022-10-28
Duration (months): 22.0
Total project cost (EUR): 150932.1
EU funding (EUR): 150932.1
Participants: 2
Project status: CLOSED

The economic role of the forest sector in Greece is a neglected field of academic inquiry. Studies of the markets for Greek forest products, are few and far between. This reflects a general lack of investment in the forest sector of the country. An example of this is that the last national forest census was carried out in 1992. Meanwhile, the economic crisis that has plagued the country since 2008 has made matters worse, not only in terms of funds to study the sector but also in terms of environmental outcomes. For instance, as a result of increasing poverty levels, many people have resorted to the use of fuelwood to satisfy their energy needs. This may seem like a good thing, in light of the Renewables Directive's targets for renewable energy adoption. In reality, the switch to fuelwood has led to a severe increase in illegal logging. Despite the numerous and frequent media reports, scientific evidence of this is lacking. The GREEN FORESEEN project has two main objectives: to study the consumption of fuelwood by households in Greece and, by doing so, to lay down the foundations for the development of the first Greek Forest Sector Model (GFSM), which will be a partial-equilibrium model of the forest sector. The first goal will be achieved by way of designing and carrying out a survey of the fuelwood market in Greece, as well as by analysing national statistics on energy consumption. This will give insights on all aspects of fuelwood demand and supply and will allow for the characterisation of the illegal logging problem. It will also assist in the development of the GFSM, as fuelwood constitutes over 65% of total timber production in the country. The ultimate goal of the GFSM will be to enhance forest management by simulating impacts of policy and market changes on the sector. An intentional byproduct of the GFSM will be the generation of knowledge that can be utilised by other models, such as the EC's European Forest Information Scenario Model (EFISCEN).
Establishing a Nanotechnology Risk Governance Framework (NANORIGO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Austria,Austria,Germany,Germany,Spain,Germany,Germany,Germany,Germany,Germany,Germany,Spain,Ireland,Spain,Belgium,Switzerland,Switzerland,Greece,Slovenia,Finland,Switzerland,France,Netherlands,Netherlands,Portugal,Portugal,United Kingdom,Portugal,Denmark
Call: Risk Governance of nanotechnology (RIA) (H2020-NMBP-TO-IND-2018, 2018)
Start date: 2019-01-01
End date: 2023-02-28
Duration (months): 50.0
Total project cost (EUR): 4748740.0
EU funding (EUR): 4748740.0
Participants: 30
Project status: SIGNED

The main objective of NANORIGO (NANOtechnology RIsk GOvernance) is to develop and implement a transparent, transdisciplinary and science-based Risk Governance Framework (RGF) for managing nanotechnology risks regarding social, environmental and economic benefits. A new risk management approach is formed based on available and new high-quality data and advanced scientific tools developed for industry and regulators decision-making, and on communication with all stakeholders (regulators, industries, politicians, the civil society). The RGF will use a life-cycle perspective and integrate available knowledge on ethical, social, environmental and economic concerns into a user-friendly format that can be easily adapted and transferred into regulation for hazard, exposure and risk assessment and management of nanomaterials. It will consist of: (i) risk management strategies based on reinforced tools for guidance and decision-making developed for risk assessment, (ii) validated methodologies to identify potential hazard and exposure, and (iii) a web-based information and communication platform to facilitate access to good quality data and a clear understanding of risks for all stakeholders, and their valuable feedback. The NANORIGO work plan consists of 8 work packages covering all major risk governance aspects. A self-sustained European Nanotechnology Risk Governance Council (NRGC) will be installed to implement the RGF, embedded in relevant international structures and in close cooperation with the International Risk Governance Center (IRGC). Case studies will demonstrate the sustainability of solutions and their consistent integration into regulatory applications under real conditions. Bringing all stakeholders together under a common umbrella will allow to share and integrate the most appropriate governance tools, frameworks and plans for future science and regulatory research and foster consistency of management approaches in the EU and synergies internationally.

Keywords: risk governance,assessment,management,mitigation,communication,acceptance,perception