Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
High-Intensity Coherent Nonlinear Optics (HICONO)

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: Physics
Countries involved: Israel,Germany,Spain,Germany,France,United Kingdom,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-10-01
End date: 2019-09-30
Duration (months): 48.0
Total project cost (EUR): 2338562.16
EU funding (EUR): 2338562.16
Participants: 9
Project status: CLOSED

Optical laser-based technologies are a key technology of the 21st century. Extension of the range of scientific and commercial laser applications requires a constant expansion of the accessible regimes of laser operation. Concepts from nonlinear optics, driven with ultra-fast lasers provide all means to achieve this goal. However, nonlinear optics typically suffer from low efficiencies, e.g. if high-order processes are involved or if the driving laser pulse intensities must be limited below damage thresholds (e.g. in nonlinear microscopy of living cells, or nonlinear spectroscopy of com-bustion processes). Hence, we require methods to enhance nonlinear optical processes. The field of “coherent control” provides techniques to manipulate laser-matter interactions. The idea is to use appropriately designed light-matter interactions to steer quantum systems towards a desired out-come, e.g. to support nonlinear optical processes. The goal of HICONO is to combine the concepts of coherent control with high-intensity nonlinear-optical interactions. The particular aim is to enhance the efficiency of nonlinear optical processes and extend the range of high-intensity laser applications. HICONO will develop new coherent con-trol strategies matched to high-intensity nonlinear optics. This will push high-order frequency con-version towards larger output yield, enable novel applications in high-resolution spectroscopy and microscopy, and drive novel technologies for ultra-short pulse generation and characterization. The close cooperation of HICONO with industry partners will lead to commercially relevant devices. In terms of training, HICONO aims at the development of young researchers with appropriate skills to exploit the concepts of high-intensity laser technologies, laser-based control, and applied nonlinear optics. HICONO provides a unique, very broad and technology-oriented early-stage training program with strong exposure of the fellows to industry environment.

Keywords: nonlinear optics,extreme light matter interactions
Aestheticization of Life and Cosmopolitan Modernity: The Poetics of Elegance in the Long 19th Century (PoetEleg)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

In the course of the long 19C the pursuit of 'elegance' emerged as a phenomenon aiming at an intensification of life through aestheticization. The distinguishing features of an 'elegant' appearance manifested themselves in the self-fashioning of an individual person (language, attire, behaviour) and in the shaping of domestic and public environments (artefacts, interior design, architecture). The concept of elegance was realized in social action and cultural practices, particularly in convivial conversation, entertainment and leisure activities. The project demonstrates that one of the crucial patterns of modernity manifests itself in the phenomenon of elegance, which inaugurates a specific aesthetic of the surface as a distinguishing social feature as well as a marker transcending the established order: an imaginary community of urban origin that supersedes historically conditioned social and gender norms. Committed to the methods of transnational historiography, the study outlines the European topography of the so-called ‘elegant world’ in the tension between national aspirations and transnational aesthetic norms. The project focuses on ‘circulating things’ and examines the social agency of press and material goods. It pays particular attention to an innovative type of cultural journals, which reported in detail on urban social, cultural, and material life and helped spread the new urban styles of living and had a decisive impact on the staging of a new, imaginary cross-border community. Its geographic range is marked by the imperial metropolises, as well as by aspiring Central and Eastern European cities such as Berlin and Leipzig, Prague and Pest, which developed into new urban centres in the course of the 19C. The main output of the project is a monograph that maps out the phenomenon of elegance and the way it redefined the social order, constituted urban life, and expressed the transnational aspirations and affiliations of the elite.

Keywords: urban culture,modernity,elite,literature,european studies,transnational cultural studies,media history,aesthetic paradigms,self fashioning,social norms,imaginary community
Research Infrastructure for Circular Forest Bioeconomy (ERIFORE)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Coordination and support actions
Countries involved: Austria,Germany,Spain,Sweden,Finland,Sweden,Norway,Romania,Sweden,Belgium,Latvia,France,France
Call: Design studies (H2020-INFRADEV-1-2014-1, 2014)
Start date: 2016-01-01
End date: 2018-01-31
Duration (months): 25.0
Total project cost (EUR): 2630950.0
EU funding (EUR): 2628700.0
Participants: 16
Project status: CLOSED

The ERIFORE will realize the European potential to consolidate its place as a world leader in biomass based research and innovations. ERIFORE builds on a new firm alliance aiming to establish open access distributed forest bioeconomy research infrastructure across Europe enabling scientific discoveries to be transferred to new business models, novel products and services enabling sustainable growth. The research infrastructure will focus on topics supporting Circular Forest Bioeconomy concepts starting from fundamental teaching and knowledge sharing to high level research laboratories and large scale piloting facilities. This two-year action will be carried out by 11 European research organisations, 2 universities and a SME. The main objective of ERIFORE is to facilitate development the Circular Forest Bioeconomy field towards the following overall targets: 1) Coordinate, complement and update major European research infrastructure to enable the full potential of available forest biomass in balance with diverse use of forests. 2) A new level of co-operation between the major RTD providers. 3) Establish a globally competitive European research infrastructure. The main deliverables of ERIFORE are the following: 1) To enhance the awareness, utilisation and open access of the complementary research facilities between the major European RTD providers in circular forest biorefinery. 2) To prepare a conceptual design and plan for cooperation arrangements between the main European RTD providers in this field. 3) To prepare Stakeholder analysis for the development needs in the infrastructure network at European level. 4) To upgrade bioeconomy competence base by providing contact interface for facilities for education and training. A plan for implementing is prepared. The suggested future European research infrastructure will then facilitate the development towards enhanced utilisation of renewable raw materials and renewal of established European process industry.

Keywords: scientific and engineering skills,piloting and upscaling,novel materials,advanced analytical tools
Large Area Aerogel Catalyst (LAACat)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept 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 Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2019-10-01
End date: 2022-03-31
Duration (months): 30.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Polymer electrolyte membrane fuel cells (PEMFCs) have attracted considerable worldwide attention because of their high energy conversion efficiency and low environmental impact. Their commercialization, however, is inhibited by the high loadings of the costly catalyst materials used at their cathodes, which is in turn related to their insufficient oxygen reduction activity and inadequate long-term stability. A promising solution that simultaneously addresses all these issues is the design of pure metallic, unsupported catalysts with extended surfaces. A particularly promising class of unsupported catalyst that has recently emerged is that of metallic aerogels, which consists of extended metal backbone nano-networks. This exclusive class of materials combines the unique properties of metals (such as good electrical and thermal conductivity, catalytic activity, and ductility/malleability) with the unique properties of common aerogels (high surface area, ultralow density, and high porosity). The fabrication of pure metallic aerogels with metal backbones by the direct sol-gel method was recently achieved for the first time by our group. These pure metallic aerogels have excellent performance potential in electrocatalytic applications.Successful upscaling of the straightforward aerogel preparation procedure will allow for subsequent testing of the material in market-ready PEMFCs with a 30 cm2 electrode area. The aim of this proof of concept project is therefore to create a prototype PEMFC using bimetallic aerogel electrocatalysts from large-scale synthesis (from technology readiness level 3 to 5) and design the optimal route-to-market strategy that would ensure swift adoption of our technology in an industrial setting. This prototype and the business case will be introduced at commercial conferences and fairs in order to establish contacts to European-based companies and to pave the way for technology transfer and commercialization.

Keywords: polymer electrolyte membrane fuel cells,metallic aerogels,electrocatalytic application,pt based catalysts
Supporting the scale and growth of Digital Social Innovation in Europe through coordination of Europe’s DSI and CAPS Networks (DSISCALE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Countries involved: Germany,Spain,Italy,Poland,Netherlands,United Kingdom
Call: Collective Awareness Platforms for Sustainability and Social Innovation (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2019-06-30
Duration (months): 18.0
Total project cost (EUR): 799741.24
EU funding (EUR): 799741.24
Participants: 7
Project status: CLOSED

The DSISCALE project aims to support policy makers, funders and, most importantly, practitioners to scale digital social innovation (DSI) and collective awareness platforms (CAPs) in Europe and to make the most of the opportunities in using tools such as open data open hardware to address some of Europe’s biggest social challenges. Building on existing support initiatives such as www.digitalsocial.eu, it will do this by developing Europe wide innovation clusters focusing on collaboration and peer learning between funders, policy makers and practitioners on methods for scaling DSI, developing the DSI index for measuring the macro level system conditions for DSI and a series of ‘DSI futures’ which will explore future scenarios for DSI in Europe and map the emerging digital technologies that are enabling new forms of digital social innovation. Specifically DSISCALE will: • Create and facilitate an online community hub for DSI in Europe by continuing the work of www.digitalsocial.eu; • Develop an index for measuring capacity for DSI; • Facilitate European DSI clusters that enable practitioners, policy makers and DSI to collaborate and share learning; • Map current and emerging trends in DSI; • Set Learning and Policy recommendations. These key DSISCALE objectives will be achieved by bringing together resources and knowledge across different fields, technologies and disciplines, including ICT and social sciences, digital democracy the maker movement and innovation policy from across the national and european networks of Nesta, betterplace lab, Waag Society, WeMake, Barcelona Activa, ePaństwo and Fab Lab Barcelona| IAAC and that of the European Commission.

Keywords: innovationclusters,digitaldemocracy,learning,care,environment,migration,cities
Improving Subseasonal and Seasonal sUmmer forecast over southern Europe through machine Learning (ISSUL)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2024-01-31
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: SIGNED

In the recent years, the continual improvements of weather forecasting models and the sustained need for reliable weather predictions beyond the weekly timescale resulted in the development of subseasonal to seasonal (S2S) forecast models and an intense research work from the scientific community. Despite the large number of research studies, S2S forecast models still show a limited skill in summer over Europe. In addition, southern Europe, has received much less attention, even though it is highly vulnerable to high-impact summer heatwaves, and very sensitive to climate change. The aim of this project, ISSUL, is to better understand and improve the S2S prediction of heatwave frequency and intensity and their associated weather patterns over southern Europe. To do this, a combination of two machine learning algorithms, an optimisation algorithm, to identify the best set of predictors, and a neural network, to provide non-linear predictions will be used. This approach has never been attempted before for these timescales. It is expected to perform better than standard S2S forecast models in predicting heatwave frequency and intensity and associated weather patterns and to bring larger improvements compared with traditional statistical forecasts that do not identify all the predictors and cannot represent non-linear complex interactions. ISSUL is divided into three parts. The first part aims at identifying the best set of predictors, using the optimisation algorithm, at evaluating it and understanding it is related to heatwaves over southern Europe via a dynamical analysis. The second part aims a predicting the frequency and intensity of heatwaves and associated weather patterns using a neural network. The third part aims at evaluating the performance of this combined machine learning approach compared with standard S2S forecasting model.

Keywords: atmospheric dynamics,machine learning algorithms,statistical forecast at subseasonal to seasonal timescales,summer extreme events,southern europe
The Consequences of Mismeasuring Economic Activity (MEImpact)

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: Germany,United Kingdom
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 1337016.0
EU funding (EUR): 680682.25
Participants: 2
Project status: SIGNED

Measuring economic activity is a fundamental challenge for empirical work in economics. Most empirical projects raise concerns about whether the data do in fact measure what they purport to measure. Mismeasurement may lead to severe model misspecification, biased estimates, and misled conclusions and policy decisions. Unfortunately, formally accounting for the possibility of mismeasurement in the econometric model is complicated and possible only under strong assumptions that limit the credibility of resulting conclusions. Therefore, the most common approaches to measurement issues are to ignore them, to informally argue why they may not be of first-order importance, to abandon the project, or to search for better data. The objective of the research described in this proposal is to develop new methodologies for formally assessing the potential impact of measurement error (ME) on all aspects of an empirical project: on model-building, on estimation and inference, and on decision-making. For instance, the new inference procedures allow the researcher to test whether ME is a statistically significant feature that should be modeled, whether ME distorts objects of interest (e.g. a production or utility function), whether ME distorts conclusions from hypothesis tests, and whether ME affects subsequent decision-making. I show that answering such questions is possible under much weaker assumptions than identification and estimation of a ME model and thus leads to more credible and robust conclusions. In addition, the implementation of the new procedures can be based on standard nonparametric estimation techniques that are part of many applied researchers’ toolkits. In consequence, the research has the potential to fundamentally transform the way empirical researchers approach measurement issues, to significantly impact empirical practice, and ultimately to avoid misled conclusions and policy decisions.

Keywords: measurement error,nonparametric methods,hypothesis testing,economic modeling,specification testing,robust decision making,economic frictions
Soil Erosion under extreme rainfall events: Detecting and modelling using a Radar-Runoff-Nowcasting-System (SED-RUNS)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-04-01
End date: 2024-03-31
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: SIGNED

Soil erosion by water is one of the most widespread forms of soil degradation in Europe which annual cost for agricultural productivity loss is estimated to be around €295 million. Under global change soil erosion due to rainfall is dramatically increasing, for the most part because of an increasing of the frequency of extreme, localised events. This project aims to understand and quantify this effect using ground-radar rainfall monitoring and hydrological modelling at regional scale (Tuscany region, Centre Italy). In hydrological phenomena, such as intense surface runoff, flooding, and soil erosion, the spatiotemporal extent plays a crucial role in the development of the processes. This component defines the impact and the evolution of the phenomenon, especially in extreme rainfall events. Therefore, an approach directed to refine as much as possible the knowledge of these dynamics is recommended both for monitoring and modelling level. Using an approach based on statistical analysis of ground-radar rainfall data and modelling, this project aims to: 1) quantify on historical data the spatiotemporal distribution of extreme rainfalls / runoff and soil erosion over the last 10 years, 2) build a platform to model runoff and soil erosion in the extreme events in real-time, 3) acquire data for calibration/validation of the model and implement new methods for monitoring, 4) simulate in real-time runoff and soil erosion issue of extreme rainfalls integrating the current regional-warning-system for extreme climatic events.

Keywords: soil erosion,modelling,warning systems,hydrology,climate change
Development and Application of Novel Hydrogenase-Inspired Mn Complexes (DANHIMC)

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: Chemistry
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 187419.6
EU funding (EUR): 187419.6
Participants: 1
Project status: CLOSED

Catalytic hydrogenation reactions have many important applications in the synthesis of chemicals, pharmaceuticals, and fuels. However, currently most catalytic hydrogenation systems rely on catalysts that contain rare and precious late transition metals. [Fe]-hydrogenase is an enzyme considered as an efficient catalyst for hydrogenation reactions. Though various Fe-based synthetic mimics of the active site of [Fe]-hydrogenase have been synthesized, only one of them was reported to activate H2. Recent studies have revealed the great potential of Mn as hydrogenation catalysts. Here we propose to combine the active site of [Fe]-hydrogenase with Mn metal and develop a novel class of Mn complexes. Complex design and synthesis, structure-function study, hydrogenation methodology development and reconstitution of [Mn]-hydrogenase for biochemistry study are the main objectives of this proposal. This work will result in not only new fundamental understanding of base metal catalysis, but also industrially relevant catalysts.

Keywords: biomimetic chemistry,fe hydrogenase,base metals,manganese,hydrogenation