Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Sorption Heat-pump Component Boosting Energy-efficiency in Gas-fired Boilers (HEATBOOST)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Sweden
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2014-10-01
End date: 2015-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Swedish award-winning cleantech company and leading supplier of sorption heat-pump components ClimateWell has recently made a technology breakthrough: A new, salt-liquid working couple that both raises the energy efficiency in gas-fired boilers and increases the temperature lift, making it possible to heat pump outside ambient air (as its renewable energy source) down to -20°C. This enables retrofitting in houses with old, high temperature radiators, while achieving a Seasonal COP (SCOP) of over 130%. The solution can easily be combined with solar thermal collectors to achieve a SCOP of up to 170%. Working already with major OEMs like GE and Alfa Laval in other applications, ClimateWell is targeting the European gas boiler OEMs such as Vaillant, BDR and Ariston to develop a Gas Heat Pump (GHP) product in which ClimateWell’s HeatBoost component is integrated. It potentially saves more than 33% of the natural gas consumption (500 EUR per year) for a typical European household using a condensing gas boiler today. The cost premium can be paid off in less than 4 years, making it an attractive investment for the end-user. While the target market for domestic space heating in Europe is huge with an installed base of 90 million boilers and over 8 million sold every year, the potential environmental impact is even bigger with a total reduction of CO2 footprint of 61.5 million tonnes/year. In this 6-month Feasibility Study, ClimateWell will verify the technical and commercial feasibility of integrating ClimateWell’s new sorption component into a gas boiler system. The goal is to establish collaboration with leading European boiler manufacturers for the continued development of a GHP product and apply for funding of a Phase 2 project. A successful outcome of the project means that once the GHP product has been commercialised in 3-5 years, ClimateWell’s potential revenue for providing some 2 million HeatBoost components per year to boiler manufacturers is 1 billion EUR.

Keywords: gas heat pump ghp energy efficiency energy cost saving co2 emissions reduction gas boiler oem europe residential
Heterogeneity, Monetary Policy and Economic Fluctuations (HEMPEF)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Spain
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-07-01
End date: 2024-06-30
Duration (months): 48.0
Total project cost (EUR): 923750.0
EU funding (EUR): 923750.0
Participants: 1
Project status: SIGNED

The proposed research aims at assessing the role of heterogeneity in economic fluctuations and its implications for monetary policy, with a focus on recent HANK (for Heterogeneous Agents New Keynesian) models. A first objective is the development of an “organizing framework” which focuses on the distinction between two types of agents of households (or firms) at any point in time: those who satisfy an intertemporal optimality condition (labeled as “unconstrained”) and those who do not (labeled as “constrained”). A heterogeneity wedge can be defined that accounts for the differential behavior of aggregate consumption (or investment) relative to an economy with a representative household (or firm). The analysis of that wedge and its components should help understand the channels through which heterogeneity operates, both in the context of specific HANK models as well as actual economies (using household or firm-level panel data). A second objective is the conduct of a comparative analysis of the aggregate equilibrium dynamics of HANK and TANK (for Two Agent New Keynesian) models. The latter class of models, which preserve the tractability and ease of interpretation of the standard Representative Agent New Keynesian (RANK) model, restrict the heterogeneity to the presence of two types of agents (constrained and unconstrained), with a constant share of each in the population. The key question to be studied is the extent to which some version of a TANK model may provide a good approximation to the dynamics of existing HANK models, as well as a better data fit than their RANK counterparts. Several applications are proposed, including the analysis of the role of constrained households in shaping the gains from wage flexibility and in determining the effects of helicopter drops on the economy, as well as the study of the impact of heterogeneity on the nature of the optimal monetary policy.

Keywords: inequality,stabilization policies,monetary policy rules,dsge models,transmission mechanisms,credit constraints,multiplier,wage flexibility,helicopter drops
Modelling Ice-shelf Melting and ice-Ocean Processes via the phase-field method and direct numerical simulation (MIMOP)

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: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-08-30
End date: 2020-08-29
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 2
Project status: CLOSED

MIMOP brings a fundamental fluid mechanics expert together with a Host Institute internationally renowned for its polar research and a world-leading University Partner. An outstanding problem in polar sciences is how quickly land-based ice moves toward the oceans and contribute to sea-level rise, which is one of the most disruptive consequences of climate change. Acceleration of the outflow from polar ice sheets appears linked to enhanced melting at the ice-shelf—ocean interface. The melting process is, however, poorly understood, because state-of-the-art models cannot resolve the effect of the ocean turbulence or basal roughness of the ice shelves. MIMOP aims to fill this critical gap in our knowledge. MIMOP objectives are to 1) Develop an innovative numerical model of the fluid dynamics of melting at the ice-ocean interface 2) Calibrate the model using new observations of ocean properties beneath an Antarctic ice shelf 3) Determine the sensitivity of melting to changes in temperature and current 4) Organise an international workshop with the aim of defining best practices for the calculation of melt rates in climate models The objectives will be achieved by combining a highly-efficient Direct Numerical Simulation (DNS) code with a novel formulation of the equations for the solid/liquid phases of water based on the phase-field method. DNS enables turbulent motions to be simulated without approximation, while the phase-field method allows the ice-ocean interface to be rough and evolve in response to melting. The phase-field method has been applied in metallurgical problems and proof-of-concept simulations have demonstrated its suitability for ice melting. MIMOP will enable the Researcher to deliver high-impact results to scientists and the public through dissemination and outreach activities, and to receive training and organise a workshop, hence reaching a position of scientific leadership and maturity, opening the way to a permanent research position in Europe.

Keywords: ocean turbulence,boundary layer dynamics,ice shelves,ice melting,phase change,direct numerical simulation,phase field method,sea level rise,climate change,polar regions,antarctica
Molecular Probes for Biofouling monitoring in Membrane Processes (ProBioMem)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Portugal
Call: Widening Fellowships (H2020-WF-01-2018, 2018)
Duration (months): 24.0
Total project cost (EUR): 147815.04
EU funding (EUR): 147815.04
Participants: 1
Project status: CLOSED

The core concept of this research project is the development and exploitation of specific molecular probes as innovative tools for monitoring membrane processes in-situ and at molecular level overcoming the limitations of the traditional techniques employed. Project objectives will be achieved through the incorporation, at membrane surface, of molecular probes sensitive to oxygen and able to provide information about the oxygen concentration at the boundary layer related to the growth of biofouling. This will allow to monitor the biofilm onset by monitoring the oxygen change in concentration due to its consumption, when aerobic microorganisms are used, or due to its production, when microalgae are used. In particular, the proposed approach will be very beneficial in such processes where oxygen depletion or production takes place, such as membrane bioreactors (MBRs). The properties exhibited by the smart membranes containing the molecular probes, will allow measuring the oxygen concentration in real time, in-situ, at molecular level and by means of a non-destructive technique. The possibility of knowing a priori the biofouling onset occurring at membrane surface and caused by aerobic microorganisms or microalgae will represent an important breakthrough for the improvement and optimization of the overall membrane process. It will enable, in fact, a precocious intervention steered to mitigate the biofouling formation before the resulting decline of membrane performance.

Keywords: molecular probes,biofouling,membrane bioreactors,water treatment,smart membranes,molecular sensors,oxygen monitoring,luminophores,polymeric membranes
Exploration of the soil biota associated to Casuarinaceae trees from tropical ultramafic areas. (CASUABIOTA)

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: Environment and Geosciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 259398.72
EU funding (EUR): 259398.72
Participants: 1
Project status: SIGNED

Pioneer plant species native to tropical ultramafic areas can be useful tools for the restoration of ultramafic soils degraded by nickel mining activities. Casuarinaceae trees are well known for its capacity to grow on nutrient-poor areas. This is possible thanks to multiple adaptations, including the formation of actinorhizal symbioses with nitrogen-fixing Frankia actinobacteria. Members of the genera Gymnostoma and Ceuthostoma (both from Casuarinaceae) colonise degraded ultramafic soils and promote the recovery of soil fertility. However, they produce high amounts of slow-degrading litter which (among other effects) reduce the colonisation by other plant species. The project CASUABIOTA is intended to improve our knowledge of soil biota associated to Casuarinaceae from ultramafic areas of SE Asia. The project has two main objectives: 1) to advance our knowledge about Casuarinaceae-associated frankiae and its tolerance to nickel, and 2) to obtain insights about the composition of Casuarinaceae litter and the organisms involved in its degradation, with a special interest in earthworms and saprophytic fungi. To accomplish these objectives, a sampling campaign aimed at plants, litter, root nodules and earthworms will be performed in ultramafic areas from Sabah State (N of Borneo, Malaysia). Collected material will be subjected to different analyses (litter composition, earthworm barcoding, soil fungal metabarcoding) and two manipulative experiments on litter degradation will be performed on vermireactors and on mesocosms. Expected results include the identification of Ni tolerant Frankia strains, the assessment of litter effects on the composition of soil fungal and earthworm communities and the optimisation of a biological method to accelerate the degradation of Casuarinaceae litter. This knowledge will ease the use of Casuarinaceae for the restoration of tropical Ni-mine spoils.

Keywords: borneo,ceuthostoma,earthworm barcoding,frankia,gymnostoma,litter degradation,nickel mining,soil fungal metabarcoding,ultramafic soils
Portable EEG-based screening of social predispositions in newborns (NeuroSoNew)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Italy,Italy
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-11-01
End date: 2021-10-31
Duration (months): 24.0
Total project cost (EUR): 149945.0
EU funding (EUR): 113070.0
Participants: 3
Project status: CLOSED

Predispositions to preferentially orient towards cues associated with social partners, such as face-like stimuli or biological and animate motion, appear to guide human social behavior from the onset of life and are typically impaired in children with autism-spectrum disorders (ASD). An early detector of social predispositions and their impairment in newborns might provide a valuable biomarker for ASD, an indicator of utmost relevance since infants with ASD greatly benefit from early behavioral intervention. This proposal builds on a study performed within my ERC grant in which, by designing an innovative oscillatory visual presentation of face-like patterns and perceptually equivalent controls, we identified an EEG-based index of face processing, present in each newborn tested and obtainable with less than 2 minutes of newborn’s visual attention. However, recording newborn’s EEG is currently possible only in laboratory settings, as no fully portable EEG system adapted for newborns exists in the market. The goal of this proposal is to design a portable, wireless EEG-based device that allows easy, rapid and automatic testing of face processing in newborns in any context, including their homes. This device is ground-breaking because it will combine the efficacy of our innovative experimental paradigm tailored to newborn’s restricted visual attention with a portable, low-power, wireless EEG device based on dry electrodes and an automatic algorithm that will extract on-line the EEG-based index of face processing. Its realization will enable the development of an early, objective and easy-to-test EEG-based biomarker on newborns at risk, potentially opening the way to large-scale screening protocols. Given the flexibility of the paradigm with respect to the content of the visual stimulation, this method might be used for research purposes to explore the neural bases of other perceptual and cognitive functions in newborns.

Keywords: human newborns,screening protocol,social predisposition,face processing,neural biomarker,autism spectrum disorder
Advancing intuitive human-machine interaction with human-like social capabilities for education in schools (ANIMATAS)

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: Germany,Ireland,Switzerland,Sweden,Sweden,Switzerland,Sweden,France,France,France,United States,Netherlands,Portugal,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 3890624.76
EU funding (EUR): 3890624.76
Participants: 17
Project status: CLOSED

ANIMATAS will establish a leading European Training Network (ETN) devoted to the development of a new generation of creative and critical research leaders and innovators who have a skill-set tailored for the creation of social capabilities necessary for realising step changes in the development of intuitive human-machine interaction (HMI) in educational settings. This will be achieved through (1) a transnational network of universities and industrial partners that will supervise and deliver specialized training for early stage researchers (ESRs), and (2) the cross-fertilization of state-of-the-art methods from the domains of social robotics, embodied virtual characters, social and educational sciences in order to facilitate the development of skills necessary to design machines capable of engaging in intuitive sustained encounters with teachers and children. The ETN will ensure an integrative approach to the development of new capabilities with a view to their impact on whole system performance in terms of the complete HMI loop. This will be done by building industry–guided showcases that integrate the social capabilities developed by the ESRs. The participation of industrial partners will support the translation of new academic results to the market-place and a better transfer of knowledge between different sectors. The exposure of the non- academic sector to the ESRs has a great market potential that our industrial partners aim to capitalize upon in terms of recruiting young talents after the end of the project and adopting ANIMATAS’ advances in intuitive HMI for future product lines. This will greatly benefit the ESRs, which will be provided with new career perspectives in the social robotics and ed-tech industries. The ETN will strengthen Europe’s capacity in research and innovation by nurturing a new generation of highly skilled ESRs with an entrepreneurial mind-set and an understanding of intuitive HMI and potential products in these emerging markets.

Keywords: social robotics,embodied virtual characters,computer games,virtual reality,robotics and educational technologies
Selective Hydrogenation of Arenes - A Dream Reaction (HyDream)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Germany
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2023-09-30
Duration (months): 60.0
Total project cost (EUR): 2495000.0
EU funding (EUR): 2495000.0
Participants: 1
Project status: SIGNED

The hydrogenation of ketones and olefins is one of the oldest synthetically used transformations. The reaction is highly sustainable and its value has been acknowledged by two Nobel Prizes. In contrast, the hydrogenation of arenes is still underexplored due to the high kinetic barrier caused by aromaticity. However, the selective arene hydrogenation constitutes a dream reaction for use in an ideal synthesis: The transformation is straightforward, uses readily available substrates, and is able to build-up an astonishing amount of complexity, with the potential to form multiple defined sterocentres, in a single step. With our first paper on selective arene hydrogenation published in 2004, we became pioneers in this field and have continuously made important contributions using metal–carbene complexes. As a world-leader in this area and with expertise in several relevant fields of catalysis, we are perfectly suited to convert arene hydrogenation into a reliable and general transformation within the frame of this project. We will provide rapid access to sought-after motifs and consequently will enable breakthroughs in material and life sciences. Key to our success will be the design of strongly electron-donating carbene ligands and deep mechanistic understanding. Specifically, we will develop solutions for the problematic hydrogenation of heteroatom-substituted arenes, and heteroarenes. Utilising the soluble nature of a homogenous catalyst, we also envision applications in the hydrogenation of polymers, offering direct access to new materials. Furthermore, the use of syngas is expected to allow for the development of a merged hydrogenation-hydroformylation reaction to yield highly functionalised cyclohexanes in a single step from minimally functionalised arenes. Finally, we aim to develop chiral versions of our highly reactive metal–carbene catalyst to enable the previously unknown but highly desirable enantioselective hydrogenation of benzene derivatives.

Keywords: hydrogenation,enantioselective catalysis,chemoselective catalysis,photochemistry,c h activation,saturated hetero cycles,functional molecules,polymers,drugs
Open Ground Truth Training Network : Magnetic resonance image simulation for training and validation of image analysis algorithms (OpenGTN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2021-12-31
Duration (months): 48.0
Total project cost (EUR): 766122.84
EU funding (EUR): 766122.84
Participants: 2
Project status: CLOSED

This action aims to optimally prepare three young researchers for the evolving medical imaging world by offering a unique set of targeted interdisciplinary training and research assignments in the areas of anatomy, pathology, imaging techniques, quantitative image analysis and segmentation, Magnetic Resonance (MR) physics and MR image simulation. MR imaging is the major imaging modality for brain and spine anatomy and pathology. A clear trend can be observed from visual to computer-assisted diagnosis by quantification of disease-specific biomarkers, derived from the MR images. The major components in image quantification applications are tissue and organ segmentation and classification. Manual segmentation is too tedious and cumbersome for daily clinical practice and would lead to large inter-user variability. Much research is therefore performed on automatic segmentation techniques. Training, validation and benchmarking of these techniques is currently impeded by the lack of MR image databases with exact reference segmentations. The research will follow an innovative approach to overcome the current barriers for wide uptake of automatic segmentation. By combining mathematical organ models with physical and biological tissue properties and image simulation methods, substantial public image databases will be established providing ample MR images with ground truth (exact) segmentations, by which fast and accurate optimization and validation of image segmentation algorithms will be enabled. Based on sound career development plans, and coached by experienced supervisors a training is offered by leading image analysis research groups from Philips (global leader in medical imaging) and the Eindhoven University of Technology (world-wide recognized authority in education and research on image analysis, esp. on MRI) and supported by researchers from leading clinical centers as UMC Utrecht, TU Munich, Kings College London and the German Center for Neurodegenerative Diseases.

Keywords: medical imaging,magnetic resonance mr,mr physics,image simulation,quantitative image analysis,anatomy,pathology,open mr image reference database