Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Novel Subsurface Inspection Radar to Inspect Tunnels and Tunnels Linings for improved maintenance. (TUNNEL VISION)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Czechia
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

TUNNEL VISION is innovative and unique since it is a disruptive innovation with an extensive market potential. The subsurface Inspection radar system has a rotating antenna, which allows 360º inspection in any plane, meaning that unlike current ground penetrating inspection systems, TUNNEL VISION can extend beyond a vehicle width and inspect more than below the vehicle. A further innovation of the system is that the images produced by transformation of the radar data will be in 3D and viewed in virtual reality. The objectives of this project are to determine the feasibility of using the 360º radar technique and producing a test platform prototype for non-destructive inspection of road and railway tunnels. This requires developing algorithms to translate radar outputs into 3D images that can be easily interpreted by a non-radar engineer. TUNNEL VISION needs to be further protected whilst developing a commercial business base. There is currently awareness of this disruptive technology with tunnel owners/operators and maintenance organisations. TUNNEL VISION’s performance providing a simple non-invasive mechanism for inspecting tunnels is urgently required by this sector.

Keywords: tunnels network inspection ground penetrating radar disruptive transport infrastructure 3d vr visualisation resilience capacity maintenance repair safety failure subsurface
Genetically encoded reporters and sensors for whole animal imaging using photo-modulated Optoacoustics (Switch2See)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1992997.0
EU funding (EUR): 1992997.0
Participants: 1
Project status: SIGNED

In vivo imaging of cellular localization and function and visualization of the chemicals that drive life are key challenges for biological research. Current methods limit our insight into this “bigger picture” to either a glimpse (low penetration and small field of view) or a coarse overview (low resolution). Optoacoustic (OA) imaging has the physical means to overcome these limitations, but it lacks the necessary toolbox of genetically encoded reporters and sensors that allow specific probing of localizations and distributions. So far, all efforts to create such a toolbox were impeded by the strong tissue background inherent to OA. Recently, exploiting my longstanding expertise in reversibly switchable reporters I overcame this hurdle by introducing the concept of photo-modulation to OA. Switchable reporters allow modulation of the reporter signal to separate it from the background – making the latter virtually invisible (“Switch2See”). In parallel, the concept was used by a U.S. consortium in vivo, underpinning its validity. Hence, now is the time to combine my expertise in switching, protein-engineering, sensors, and OA imaging to create a toolbox that will allow to follow cells over time, visualize their interactions, and image the distributions of chemicals – all on the scale of the whole live organism with resolutions of 20 - 150 µm. With Switch2See, I will lay the foundations by building dedicated screening infrastructure, use it to develop a range of reporters (multiplexing) and sensors, and develop algorithms to convert the photo-modulation patterns into images. I will demonstrate the revolutionary impact on whole-animal imaging by visualizing localization, dynamics and interaction of immune cells in the tumor micro-environment (TME) and visualize aspects of its chemical heterogeneity. Beyond cancer research, this will impact all questions requiring a “bigger picture” – from developmental processes over neurobiology to the functioning of the immune system.
Rebellion and Resistance in the Iberian Empires, 16th-19th centuries (RESISTANCE)

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: Social Sciences and Humanities
Countries involved: Spain,Spain,Argentina,Germany,United States,Portugal,Chile,Cabo Verde,Brazil,Mexico,Portugal
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-06-01
End date: 2024-05-31
Duration (months): 72.0
Total project cost (EUR): 1030500.0
EU funding (EUR): 1030500.0
Participants: 13
Project status: SIGNED

Economic inequalities, social exclusion, discrimination against minorities, cultural resistance and disruption of social cohesion – these are all key concerns in the current European and global agenda, both in scholarly work and policy-making. RESISTANCE aims at analysing these issues by focusing on the processes of resistance carried out by social actors that have been historically disadvantaged, discriminated against and dominated. By using a concept of resistance that connects continued and less visible forms of resistance, cultural dissent and violent revolts, the ultimate goal of RESISTANCE is to produce a reinterpretation of the universe of “the dominated”. RESISTANCE will provide an understanding of how these actors could influence processes of social change, either by opening up societies to diversity and making them more inclusive and equal, or, conversely, by causing the increase of repression. Rooted in the disciplinary field of history, RESISTANCE uses the past as a laboratory for the analysis. Focusing on the former Portuguese and Spanish empires, this project privileges a comparative approach in time and space in order to investigate an extended time frame (sixteenth to mid-nineteenth centuries) and a spatial framework that encompasses Europe, the Americas, Africa and Asia. The past experiences of their societies, strongly grounded on ethnic, social, economic, cultural, religious, and gender inequality, still shape current political and social dynamics. RESISTANCE is led by the University of Évora, and made up of seven beneficiary universities in Portugal, Spain and Germany, plus six universities in third countries (Chile, Argentina, Brazil, Cape Verde, Mexico and USA). In addition to academic-type deliverables, RESISTANCE proposes an extensive range of dissemination and communication outputs specifically targeted at wide-ranging audiences (schools, museums, international agencies, think tanks, policy-makers, and more).

Keywords: resistance,rebellion,social exclusion,political adaptation,political participation,iberian colonial empires
Virtual Materials Market Place (VIMMP) (VIMMP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Innovation actions
Countries involved: Italy,Italy,Germany,Germany,Germany,Germany,Switzerland,Switzerland,France,France,Czechia,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Next generation system integrating tangible and intangible materials model components to support innovation in industry (H2020-NMBP-2017-two-stage, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 9412564.96
EU funding (EUR): 7992278.26
Participants: 19
Project status: SIGNED

VIMMP facilitates and promotes the exchange between all materials modelling stakeholders for the benefit of increased innovation in European manufacturing industry. VIMMP will establish an open-source, user-friendly, powerful web-based marketplace linking beneficiaries from different manufacturing industry sectors with relevant materials modelling activities and resources. To enable a seamless and fully integrated environment, VIMMP is built on solid taxonomy and metadata foundations, including those centred on materials models, software tools, communities, translation expertise and training materials. VIMMP is a true marketplace, offering a substantial boost to all providers of tools and services; integrating modelling platforms based on Open Simulation Platform (OSP) standards that will be pursued in collaboration with the EMMC. Thus, any software owner can easily integrate models and certify codes to adhere to OSP standards. The Translator function will be supported by novel, collaborative tools that use metadata to combine models on an abstract logical level. OSP standards enable Translators and End User to build and deploy workflows quickly. VIMMP contributes novel avenues for coupling and linking of models, which will be validated in the context of three overlapping industry applications: personal goods, polymer nanocomposites and functional coatings. Data repositories relevant to modelling will be developed and integrated in VIMMP, including a novel input parameter repository for mesoscopic model, also materials properties and associated validation data. VIMMP will comprise a full set of education and training resources relevant for a wider range of manufacturing industry. VIMMP users will profit from lowering risk and upfront cost, greater speed and agility of deploying materials modelling and realising the wide range of demonstrated economic impacts.

Keywords: materials modelling and validation,marketplace,materials modelling education and translation,software tools,metadata and standards,open simulation platform
Nanoparticles as Partners in Frustrated Lewis Pairs: Boosting the Surface Reactivity of Inorganic Nanoparticles (NanoFLP)

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: France
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2024-06-30
Duration (months): 78.0
Total project cost (EUR): 1499875.0
EU funding (EUR): 1499875.0
Participants: 1
Project status: SIGNED

Associating bulky and strong Lewis acid and base creates a Frustrated Lewis Pair (FLP). Traditionally, both FLP partners are molecules. Molecular FLPs have shown excellent abilities to catch and dissociate small molecules such as H2 in a heterolytic way, under mild conditions. The driving force is the destabilization of the initial acid-base adduct, sterically frustrated: it liberates a reactive pocket that catches the small molecule guest, and strongly lowers the activation energy for bond dissociation. The pristine and challenging concept of NanoFLP consists in replacing one of the molecular FLP partner, either the acid or the base, by an inorganic nanoparticle: the other molecular partner will adsorb on the surface and boosts the reactivity of the nanoparticle by creating a frustrated active site. I will demonstrate the versatility of NanoFLPs with three families of inorganic nanoparticles (metals, acidic oxides, basic oxides), illustrating the two schemes: nanoparticle is either the Lewis acid or the Lewis base. I will use probe molecules (CO2, H2, SO2 and N2O) to investigate the nature and reactivity of the active sites. All reactions should be achieved under much milder conditions (rt.-150 °C, 1-3 bars) than those required using similar nanoparticles in the absence of the molecular partner. I will fully describe the nanoparticle surface and the dynamics of the molecular partner using benchtop and synchrotron spectroscopies with in situ cells: infrared, nuclear magnetic resonance in solution, X-ray absorption and near-ambient-pressure X-ray photoelectron spectroscopy. In the last stage of the project, I will take advantage of the several active sites that one nanoparticle can bear to achieve combined reactions of two small molecules (reactants) on a single NanoFLP. NanoFLP proposes a new type of active site for utilizing small molecules as sources of C, N, S and O. It will open an avenue in the design of reactive interfaces, eg. for catalysis and sensors.

Keywords: frustrated lewis pairs,x ray spectroscopy
SmartGrid Distributed Monitoring, Synchronization and Active Management (SmartGridEnable)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Ireland
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2015-04-01
End date: 2015-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

A critical challenge for smart grid ecosystems is to optimise the ROI for Utilities. SmartGridEnable will addresses this by creating product solutions to help Power Utility Distribution Network Operators (DNOs) achieve their carbon reduction targets by enabling them to better manage their network in support of lower carbon footprint technologies & new energy generation business models from green energy renewable sources. Using patented current/voltage sensing technology MAC has identified two business opportunities that will greatly assist DNOs in the management of their Low Voltage (LV) & Medium Voltage (MV) Distribution networks. These include; (a) the development of a LV Network Monitoring System to support Demand Response Management Systems (DRMS). This solution will directly feed into & support DRMS currently being put in place by all DNOs for better network management of lower carbon footprint technologies, such as e-cars & renewable energy generation on their networks. (b) development of a cost effective Phasor Measurement Unit (PMU) for mass deployment, that will help DNOs avoid grid instabilities, & monitor generators’ response to abnormal deviations in system frequency due to load variations & renewable energy connections. Mass deployment will also enable DNOs facilitate lower tariff offers on renewable energy generation to customers when peak supplies such as wind is available, thus reducing existing power plant outputs. The solution will assist European DNOs achieve their 2020 carbon reduction targets & be carbon neutral by 2050, reducing networks outages duration & customer losses by 20%, & improving overall management of the distribution grid by 15%. SmartGridEnable uses patented sensing technology that was developed for fault monitoring on MV neutral compensated networks. This technology could address the lucrative LV & MV network monitoring market but requires detailed investigation & business planning to bring this technology to market.

Keywords: smartgrids,distributed monitoring,grid synchronisation,active management,carbon reduction,drms,networks
Definition, analysis and interpretation of a new typology of the Roman House: The Tetrastyle Courtyard House, a domus with a hybrid cultural conception sheltered by a global civilization of Antiquity (TETRASTYLON)

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: Social Sciences and Humanities
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

In the recent decades, some studies have found a particular typology of Roman house in different parts of the Empire. This typological feature is the result of a hybrid house scheme be-tween the Greek and Roman conceptions of the house. The new typology has been observed in different Roman cities with a Greek past, but in different geographical contexts and chronologies. This type of home, with its variants, has not been enough analysed by the Roman domestic architecture studies. There are still many Roman cities with a Greek past which private architecture has not been thoroughly studied. The study of a domestic unit enable us to approach issues vital to understand the private sphere of ancient societies, such as the relationship between the individual and the society, the family and the state, production and consumption or macroeconomics and microeconomics. It is therefore necessary to establish and document accuracy the various households that existed in antiquity to better understand the first stage of any cultural society. In this case a house that has a cultural exchange for the formation of its scheme and its role in the society in which it has been developed. The Tetrastylon Project is designed to create the scientific basis for the identification and definition of the new type of Roman domus: "The tetrastyle courtyard house". Conducting Tetrastylon will significantly contribute to analyse 1) the European cultural heritage and identity, 2) the diversity of the European culture and 3) the interaction and translation of traditions of its different countries and regions. All of them are research goals recommended by the Horizon 2020 Framework Programme.

Keywords: archaeology,roman urbanism,domestic architecture,globalization,intercultural relations
Statistical Mechanics of Learning (SMILE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Switzerland,France
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-09-01
End date: 2023-02-28
Duration (months): 66.0
Total project cost (EUR): 1346795.0
EU funding (EUR): 599753.36
Participants: 2
Project status: CLOSED

Computers are now able to recognize people, to tell a dog from a cat, or to process speech so efficiently that they can answer complicated questions. This was still impossible only a decade ago. This progress is largely due to the development of the artificial “deep-learned neural networks”. Nowadays, “deep learning” is revolutionizing our life, prompting an economic battle between internet giants and the creation of a myriad of start-ups. As attractive and performant as it is, however, many agree that deep learning is largely an empirical field that lacks a theoretical understanding of its capacity and limitations. The algorithms used to "train" these networks explore a very complex and non-convex energy landscape that eludes most of the present theoretical methodology in machine learning. The behavior of the dynamics in such complicated "glassy" landscape is, however, similar to those that have been studied for decades in the physics of disordered systems such as molecular and spin glasses. In this project we pursue this analogy and use advanced methods of disordered systems to develop a statistical mechanics approach to deep neural networks. Our first main objective is to create a model for learning features from data via a multi-level neural network. We then regard this model as a kind of a spin glass system amenable to an exact asymptotic analysis via the replica and cavity method. Analyzing its phase diagram and phase transitions shall bring theoretical understanding of the principles behind the empirical success of deep neural networks. This approach will also lead to our second objective: the creation of a new class of fast, efficient, and asymptotically optimal message passing algorithms for deep learning. It is the synergy between the theoretical statistical physics approach and scientific questions from computer science that makes the project’s objectives feasible and enables a leap forward in our understanding of learning from data.

Keywords: spin glasses,artificial neural networks,bethe approximation,replica method,cavity method,message passing algorithms,belief propagation,unsupervised learning,graphical models,feature learning
Integrated and standardized NGS workflows for Personalised therapy (Instand-NGS4P)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Pre-Commercial Procurement
Countries involved: Germany,Italy,Germany,Germany,Germany,Italy,Italy,Austria,Italy,Austria,Belgium,Finland,Slovenia,Romania,France,Netherlands,United Kingdom,United Kingdom,Denmark
Call: Innovation Procurement: Next generation sequencing (NGS) for routine diagnosis (H2020-SC1-2019-Single-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2025-05-31
Duration (months): 65.0
Total project cost (EUR): 12220142.38
EU funding (EUR): 10998128.16
Participants: 22
Project status: SIGNED

Instand-NGS4P is a 65-month PCP project federating 7 leading medical centers (two are coordinating ERNs) as buyers’ group with major experience in using different NGS platforms in research and routine diagnostics. The consortium is further strengthened by European patient advocacy groups, a standardization organization and partners participating in the European infrastructures BBMRI-ERIC, ELIXIR as well as several NGS-related EU programs to cover all technical aspects and transversal needs & requirements. Driven by patient and clinical needs, innovative NGS workflows from sample-pre-analytics to medical decision making will be developed. The modular design of the workflow will particularly enable SEMs to contribute, and provides flexibility to adopt emerging user needs and technologies. Specifications will address regulatory requirements for IVDs and refer to international standards and requests development of reference materials and implementation of EQA schemes covering the whole workflow. R&D suppliers will be selected based on a public tender all along this PCP process in 3 phases according to the best-value for money solution. The 3 phases foresee the leverage of 4 technical modules (pre-analytics, sequencing, bioinformatics, e-reporting/e-medication) and their standardized interfaces – from design (Phase 1) to prototypes (Phase 2), and full integration in Phase 3. At the end, this PCP will provide 2 fully integrated, standardized NGS workflows for routine diagnostics of common and rare cancers from adults to children. In order to enable broad implementation in healthcare systems throughout Europe and beyond and to increase benefit to patients a series of support activities are planned including communication and dissemination activities targeting a broad stakeholder community, development of training and education material for healthcare professionals and patients, health economic assessment and engagement with healthcare payers and policy makers.

Keywords: 2 full integrated ngs workflows,commonandrare cancers,ivdr,pediatricsandadult,preanalytics,sequencing,pharmacogenetics,gene panels,bioinformatics,e reporting,e medication,standards