Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Security of Explosives pan-European Specialists Network (EXERTER)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Coordination and support actions
Countries involved: Germany,Spain,Germany,Italy,Croatia,Poland,Romania,Sweden,Norway,Greece,France,Netherlands,Netherlands,United Kingdom,Portugal
Call: Pan European Networks of practitioners and other actors in the field of security (H2020-SEC-2016-2017-2, 2017)
Start date: 2018-06-01
End date: 2023-05-31
Duration (months): 60.0
Total project cost (EUR): 3498868.75
EU funding (EUR): 3498868.75
Participants: 21
Project status: SIGNED

EXERTER connects 22 practitioners from 13 EU Member States into a Network with Explosives Specialists within the Security of Explosives (SoE) area. The objective of the EXERTER Network is to bridge the difficulties for security practitioners to capture and utilize research results and to direct the industry’s innovation efforts to address the most pressing needs in the fight against terrorism and serious crime. Practitioners will via EXERTER get improved operational capability via novel technologies, methods and knowledge to aid them in executing more efficient countermeasures in a changing threat environment. In cooperation with key practitioners in the Network, the project will each year define one unique scenario based on past events to facilitate the identification of capability gaps along different counter-terrorist phases associated with PREVENT, DETECT, MITIGATE and REACT. With its explosives expertise, EXERTER will provide recommendations to the SoE community on how these gaps can be countered by (i) directing innovators into targeted areas to which research programmes should focus, (ii) proposing standardization priority areas and (iii) advising on exploitation and commercialisation opportunities. Ongoing research activities will continuously be reviewed to promote practitioners’ uptake of results and knowledge. Academia and research institutes will be supported by the technical expertise within EXERTER to lower exploitation barriers for promising research by enhancing their interaction with security industry. EXERTER will assess evolving threats requiring immediate attention of the SoE community - thus widely addressing emerging technologies and trends. Annual interaction workshops will be held where explosives practitioners, research institutes and academia as well as industry gather to discuss the current state of play and future roadmaps to answer to urgent capability requirements.

Keywords: security,explosives,network,standardization,exploitation,dissemination
Log Correlations and Random Matrices (LogCorRM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: United Kingdom,United Kingdom
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 1778516.0
EU funding (EUR): 1388878.86
Participants: 2
Project status: SIGNED

Random Matrix Theory has been of central importance in Mathematical Physics for over 50 years. It has deep connections with many other areas of Mathematics and a remarkably wide range of applications. In 2012, a new avenue of research was initiated linking Random Matrix Theory to the highly active area of Probability Theory concerned with the extreme values of logarithmically correlated Gaussian fields, such as the branching random walk and the two-dimensional Gaussian Free Field. This connects the extreme value statistics of the characteristic polynomials of random matrices asymptotically to those of the Gaussian fields in question, allowing some important and long-standing open questions to be addressed for the first time. It has led to a flurry of activity and significant progress towards proving some of the main conjectures. A remarkable discovery has been that the characteristic polynomials of random matrices exhibit, asymptotically, a hierarchical branching/tree structure like that of the branching random walk. However, many of the most important questions remain open. My aim is to attack some of these problems using ideas and techniques that have so far not been applied to them: I believe it is possible to compute some important statistical quantities relating to the extreme values of characteristic polynomials exactly, for the first time, by establishing connections with integrable systems, representation theory, and enumerative combinatorics. Such connections have not previously been explored. I anticipate that this will have a significant impact on an area that is currently in a rapid phase of development and that it will settle some of the principal unresolved conjectures. I further believe that ideas exploiting the hierarchical branching structure may have new and unexpected implications for areas connected with Random Matrix Theory, including, in particular, Number Theory, and I plan to explore these too.

Keywords: random matrix theory,log correlated gaussian fields,extreme values,matrix integrals,riemann zeta function,function fields
Predictive Cognitive Maintenance Decision Support System (PreCoM)

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: Germany,Germany,Germany,Germany,Spain,Spain,Spain,Spain,Slovakia,Greece,Sweden,France,France
Call: Novel design and predictive maintenance technologies for increased operating life of production systems (H2020-FOF-2017, 2017)
Start date: 2017-11-01
End date: 2021-02-28
Duration (months): 40.0
Total project cost (EUR): 7171261.04
EU funding (EUR): 6146402.5
Participants: 17
Project status: CLOSED

Cheaper and more powerful sensors, together with big data analytics, offer an unprecedented opportunity to track machine-tool performance and health condition. However, manufacturers only spend 15% of their total maintenance costs on predictive (vs reactive or preventative) maintenance. The project will deploy and test a predictive cognitive maintenance decision-support system able to identify and localize damage, assess damage severity, predict damage evolution, assess remaining asset life, reduce the probability of false alarms, provide more accurate failure detection, issue notices to conduct preventive maintenance actions and ultimately increase in-service efficiency of machines by at least 10%. The platform includes 4 modules: 1) a data acquisition module leveraging external sensors as well as sensors directly embedded in the machine tool components, 2) an artificial intelligence module combining physical models, statistical models and machine-learning algorithms able to track individual health condition and supporting a large range of assets and dynamic operating conditions, 3) a secure integration module connecting the platform to production planning and maintenance systems via a private cloud and providing additional safety, self-healing and self-learning capabilities and 4) a human interface module including production dashboards and augmented reality interfaces for facilitating maintenance tasks. The consortium includes 3 end-user factories, 3 machine-tool suppliers, 1 leading component supplier, 4 innovative SMEs, 3 research organizations and 3 academic institutions. Together, we will validate the platform in a broad spectrum of real-life industrial scenarios (low volume, high volume and continuous manufacturing). We will also demonstrate the direct impact of the platform on maintainability, availability, work safety and costs in order to document the results in detailed business cases for widespread industry dissemination and exploitation.

Keywords: predictive maintenance,embedded sensors,modal tracking,artificial intelligence,self healing
Diagnosis and Management of Febrile Illness using RNA Personalised Molecular Signature Diagnosis (DIAMONDS)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Innovation actions
Countries involved: Spain,Austria,Germany,Italy,Australia,Spain,Germany,Italy,Taiwan, Province of China,Switzerland,Switzerland,Greece,Slovenia,Latvia,France,France,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Demonstration pilots for implementation of personalised medicine in healthcare (H2020-SC1-2019-Two-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2025-06-30
Duration (months): 66.0
Total project cost (EUR): 23839940.75
EU funding (EUR): 22582021.13
Participants: 32
Project status: SIGNED

Our proposal will address the challenge of bringing personalised medicine into routine use in EU healthcare systems for diagnosis and treatment of common infectious and inflammatory diseases, which account for a up to a third of all medical encounters in primary care and hospital. The diagnostic process in clinical medicine has been based on recognition of a constellation of symptoms and clinical signs, supported by laboratory tests. However, a definitive diagnosis is currently made in only a minority of patients presenting to healthcare with suspected infection or inflammation. We have previously shown that individual infectious and inflammatory diseases are characterised by unique patterns of host gene expression, and that diagnosis of individual diseases can be based on small numbers of uniquely expressed genes. We propose a new diagnostic classification of infectious and inflammatory diseases, based on the discriminatory ability of a minimal set of genes, which is able to distinguish all common conditions simultaneously, an approach we call Personalised Molecular Signature Diagnosis (PMSD). In partnership with 22 hospitals in 11 EU countries, and biotechnology groups in academia, SMEs and industry, we will develop a device to detect genes required for PMSD. We will then undertake a large-scale pilot demonstration in diverse healthcare settings in Europe, to establish the benefit to patients, reduction in healthcare resource use, cost effectiveness and acceptability to patients and carers, of PMSD.

Keywords: infectious and inflammatory diseases,molecular diagnosis
The Scholar, the Jurist, the Priest: Moderation on the Italian Peninsula, 1700-1750 (VIAMEDIAITALICA)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-01-13
End date: 2022-04-15
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

As Europe enters the third decade of the 21st Century, moderation is a concept in crisis. Extremism, radicalism and ideological conflict are judged to be in the ascendant, while the moderate middle of political landscapes in a range of European countries has been physically vacated and conceptually hollowed out. This project offers a contribution to the history of moderation as an idea, as a practice, and as a virtue. Modern understandings of moderation were established in the 18th Century, through the fusing of classical and Christian concepts in a new intellectual-religious and political-economic environment. VIA MEDIA ITALICA offers an intellectual historical study of the moderate strata on the Italian peninsula in the first half of the 18th Century, the early Enlightenment. The ambition is to establish moderation as a practice and as a virtue in three different contexts: political moderation; scholarly, or epistemic, moderation; and religious moderation. Each of these contexts will be explored through a networked set of case-studies, founded upon extensive archival research, and orientated around key texts, institutions and thinkers. These three contexts will also be elaborated through a study of Lodovico Antonio Muratori as a religious, scholarly and political thinker, and reinterpreted as a theorist of moderation. This project will offer: a ‘bottom-up’ reinterpretation of the intellectual culture of the Italian peninsula between 1700 and 1750; a new reading of the contributions of L.A. Muratori to the European Enlightenment; and an interrogation of the concept of moderation as a historical and contemporary idea and practice. This project plays an essential role in the researcher’s maturation into an international, independent and interdisciplinary historian of early modern Europe. It also supports his development into a public-facing scholar, through a range of training schemes and the realisation of an extensive programme of public-orientated events.

Keywords: early modern history,european history,italian history,history of scholarship,history of religion,history of historiography,enlightenment studies,moderation,via media,history of institutions
3D-Integrated single photon detector (3D-COUNT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Italy
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-02-01
End date: 2017-07-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 76250.0
Participants: 2
Project status: CLOSED

Photonics, in recognition of its strategic significance and pervasiveness throughout many industrial sectors, has been identified as one of the Key Enabling Technologies for Europe. Photonics in combination with quantum information science has great potential to facilitate, transform and innovate future technologies for the better. The Proof of Concept (PoC) project intends to contribute to this by developing and testing a communication platform prototype, comprised of single photon detectors, which are efficiently coupled to single mode fibers using an innovative laser written device. This enables the integration of single photon detectors on innovative glass waveguides. These glass integrated photonic circuits offer excellent specifics for on-chip quantum optics implementations in terms of scattering losses, offering flexibility of the waveguide geometry and ensuring high coupling efficiency with optical fibers. The device developed and tested in the PoC, directly addresses a market need for an integrated and efficient on-chip communication systems. Current available systems have limitations involving high costs, complex production, and inefficient coupling of detectors to optical fibers. The proposed platform will offer 1.) a simplified production process, 2.) high optical fiber coupling efficiency 3.) improved performance levels, 4.) high cost efficiency, and 5.) compactness. Such systems can be applied in a wide range of communication and non-communication applications, such as free-space optical communication, quantum communication, quantum cryptography, DNA sequencing, single molecule detection and material analysis. Moreover, the future commercialisation of quantum computing is expected to create a vast demand for these communication systems. In addition to the technology PoC, the project carries out IPR strategy considerations through patenting actions, determines the market potential, seeks market feedback, and plans for post-PoC commercialisation paths.

Keywords: integrated photonics,single photon detector,laser writing fabrication of waveguides,superconducting nanowire single photon detectors,proof of concept,communication platform,commercialisation
Increase Energy Efficiency rates in buildings and white goods through advanced Vacuum Insulation Panels Quality Control (VIPACO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Slovenia
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-08-01
End date: 2016-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Energy efficiency is one of the easiest and most cost effective ways to combat climate change, reduce the energy dependence from third countries and improve the competitiveness of industries by reducing energy costs for consumers. The future carbon-free energy infrastructure is supposed to consist of a combination of distributed energy renewable resources and energy efficient energy consumption. This challenge can be dealt by improving the efficiency of future sustainable energy systems by applying nanotechnology, advanced materials and advanced manufacturing to efficient energy use. In this context, the quality of Vacuum Insulation Panels has room for important improvements, the most relevant of which is the need to upgrade quality control and monitoring systems of the panels. The nowadays crucial point of the VIPs is the assessment of the insulation performances after the production process (to long procedure) and through their lifetime (today still not possible). Only the control of the manufactured panel and the possibility to regularly monitor installed VIPs, precisely and quickly, allows a constant high rate of energy efficiency and therefore an optimal operation of insulation panels. We have ideated and developed a solution deployable in all the types of VIPs, where insulation performances are measured instantaneously and in a non-invasive manner. The method is based on quartz crystal microbalance (QCM), which allows to detect the mass variation per unit area by measuring the change in frequency of a Quartz Crystal resonator. The device allows the measurement of panel during the production and after being installed (today not possible) in less than one second. Market challenge is important, considered the constanly increasing levele of investments in the VIPs. We are now presenting the characteristics of the solution and the potentials for uptaking the market and the benefits it brings into the society.

Keywords: vacuum insualtion panel production control,quality control,insulation,heating and cooling performance,energy efficiency
Research Data Alliance - Europe 3 (RDA Europe)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Coordination and support actions
Countries involved: Ireland,Spain,Italy,Germany,Finland,Greece,France,United Kingdom,United Kingdom,United Kingdom
Call: Towards global data e-infrastructures – Research Data Alliance (H2020-EINFRA-2014-2, 2014)
Start date: 2015-09-01
End date: 2018-02-28
Duration (months): 30.0
Total project cost (EUR): 4219466.25
EU funding (EUR): 3999187.5
Participants: 13
Project status: CLOSED

The Research Data Alliance (RDA) is rapidly building the social and technical bridges that enable open sharing and re-use of data on a global level. RDA/Europe - the European plug-in to the global Research Data Alliance activities – will ensure that European research, industrial, e-infrastructure and policy stakeholders are all aware of its achievements, engaged with and actively involved in the global RDA activities and will advance the use of its results. European domain scientists and data scientists are involved in and driving a series of working and interest groups, generating first results of RDA and this momentum should be maintained and even increased. A collaborative web platform, currently under strong development, is widely used by the RDA members and coordinating administration. RDA Europe will look for innovative ways of facilitating the take-up and implementation of RDA outputs in Europe, both in academia and industry, and will continue to develop and maintain the RDA web-based collaboration framework. Further steps will be taken in steering, planning and implementing the sustainability of RDA through a legal entity, established in Europe, and investigating the most appropriate business models for long term sustainability. This RDA/Europe proposal will mainly build on the successful consortium of the previous years but strengthen its anchoring at policy, scientific and industrial uptake to drive forward RDA Europe objectives that are all grounded in technological excellence and innovation and have clear international ties. RDA Europe partners are very actively involved in the strategic planning, implementation, marketing & communication of RDA through the governance bodies of RDA.
Firm-to-Firm Trade Networks (TRADENET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: France,France
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2023-07-31
Duration (months): 76.0
Total project cost (EUR): 1284058.0
EU funding (EUR): 472058.0
Participants: 2
Project status: SIGNED

This project analyzes the propagation of shocks through international trade. The microeconomic structure of trade networks is argued to favor the propagation and amplification of shocks with an end-effect on the dynamics and volatility of aggregate trade. The exploitation of highly disaggregated firm-to-firm trade data offers a unique opportunity to analyze these questions into details. The first part of the proposal studies the determinants of trade networks. I build a search-and-matching framework to explain the formation of bilateral trade relationships as a matching process between individual exporters in one country and individual buyers located in another country. This framework allows explaining the structure of trade networks observed in the data, both in the cross-section and over time. The model is also used to revisit several puzzles of the international economic literature, including the question of welfare gains from trade and the convergence to the law of one price. The second part of the proposal studies the consequences of the structure of trade networks for the volatility of trade and its resilience to relative price shocks. I study how the observed connections between individual firms help propagate individual and aggregate shocks, with an end-effect on the volatility of aggregate trade and the comovement of GDPs across countries. The high concentration of trade networks and the strength of production linkages, within and across countries, help amplify the aggregate effect of individual shocks. I also analyze how the structure of trade networks shapes the response of aggregate trade to relative price shocks. The nature and history of firm-to-firm relationships is argued to have implications for the aggregate elasticity of trade.

Keywords: trade networks,granular fluctuations,global value chains