Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Advanced devices for the Reduction of CArbon DIoxide and Artificial photosynthesis (ARCADIA)

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: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

The ARCADIA project will focus on building artificial photosynthetic devices (or photoelectrochemical cells), with the aim of producing alternative fuels exploiting renewable energy sources (namely sunlight). The key strategy will involve the development of photoelectrodes able to perform the water oxidation (at the anode) and the carbon dioxide reduction (at the cathode), and their further assembly in a standalone set-up (i.e. requiring no other energy source, but sunlight). Thus, ARCADIA will contribute to the abatement of the atmospheric anthropogenic emissions of the greenhouse gas CO2 by its exploitation as a renewable carbon feedstock to obtain clean fuels and value-added chemicals as the target products.

Keywords: artificial photosynthesis,solar fuels,photoelectrochemical cells,nanomaterials,sunlight conversion
FLExible Dimethyl ether production from biomass Gasification with sorption-enhancED processes (FLEDGED)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Alternative fuels and mobile energy sources
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Finland,Finland,Switzerland,France,Netherlands,Netherlands,Netherlands
Call: Development of next generation biofuel technologies (H2020-LCE-2016-RES-CCS-RIA, 2016)
Start date: 2016-11-01
End date: 2020-10-31
Duration (months): 48.0
Total project cost (EUR): 5569330.0
EU funding (EUR): 5306455.0
Participants: 11
Project status: CLOSED

The FLEDGED project will deliver a process for Bio-based dimethyl Ether (DME) production from biomass. The FLEDGED project will combine a flexible sorption enhanced gasification (SEG) process and a novel sorption enhanced DME synthesis (SEDMES) process to produce DME from biomass with an efficient and low cost process. The primary aim of FLEDGED project is to develop a highly intensified and flexible process for DME production from biomass and validate it in industrially relevant environments. This objective will be accomplished by: - Experimental validation of the flexible SEG process at TRL5; - Experimental validation of the flexible SEDMES process at TRL5; - Evaluation of the full biofuel production chain from energy, environmental, economic, socio-economic and risk point of view; - Preparation of the ground for future exploitation of the results of the project beyond FLEDGED, by including in the consortium industrial partners along the whole biofuel production chain. By combining the SEG and the SEDMES processes, the FLEDGED project will validate a plant concept that: - is characterized by a tremendous process intensification: sorption of CO2 in the gasifier and of water in the DME reactor allows designing an overall process for DME production with only two fundamental steps and with reduced units for syngas conditioning - allows operating with a wide range of biomass feedstocks - will be more efficient than competitive processes and expected to have a lower cost, thanks to the reduced number of components, the avoidance or significant reduction of recycles and the avoidance of energy consuming and costly air separation and CO2 separation units - is capable of producing syngas with tailored composition by adapting the SEG process parameters, which allows coupling with an electrolysis system for converting excess intermittent renewable electricity into a high value liquid fuel

Keywords: biomass gasification,sorption enhanced process,flexibility
Hydrogen Mobility Europe 2 (H2ME 2)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Iceland,Austria,Germany,Germany,Germany,Germany,Germany,Germany,Germany,Italy,Germany,Norway,Sweden,Belgium,Norway,France,France,France,France,France,France,France,France,France,France,France,France,France,Netherlands,Netherlands,Netherlands,United Kingdom,Denmark,United Kingdom,Denmark,United Kingdom,Denmark,United Kingdom,United Kingdom,United Kingdom
Call: Large scale demonstration of Hydrogen Refuelling Stations and FCEV road vehicles - including buses and on site electrolysis (H2020-JTI-FCH-2015-1, 2015)
Start date: 2016-05-01
End date: 2023-12-31
Duration (months): 92.0
Total project cost (EUR): 108375643.83
EU funding (EUR): 34999548.5
Participants: 58
Project status: SIGNED

Hydrogen Mobility Europe 2 (H2ME 2) brings together action in 8 European countries to address the innovations required to make the hydrogen mobility sector truly ready for market. The project will perform a large-scale market test of hydrogen refuelling infrastructure, passenger and commercial fuel cell electric vehicles operated in real-world customer applications and demonstrate the system benefits generated by using electrolytic hydrogen solutions in grid operations. H2ME 2 will increase the participation of European manufacturers into the hydrogen sector, and demonstrate new vehicles across a range of platforms, with increased choice: new cars (Honda and Mercedes), new vans (range extended vehicles from Renault/Symbio and Renault/Nissan/Intelligent Energy) and a new medium sized urban delivery truck (Renault Trucks/Symbio). H2ME 2 develops an attractive proposition around range extended vehicles and supports a major roll-out of 1,000 of these vehicles to customers in France, Germany, Scandinavia and the UK. 1,034 new hydrogen fuelled vehicles will be deployed in total, trebling the existing fuel cell fleet in Europe. H2ME 2 will establish the conditions under which electrolytic refuelling stations can play a beneficial role in the energy system, and demonstrate the acquisition of real revenues from provision of energy services for aggregated electrolyser-HRS systems at a MW scale in both the UK and France. This has the further implication of demonstrating viable opportunities for reducing the cost of hydrogen at the nozzle by providing valuable energy services without disrupting refuelling operations. H2ME 2 will test 20 new HRS rigorously at high level of utilisation using the large vehicle deployment. The loading of stations by the end of the project is expected to average 20% of their daily fuelling capacity, with some stations exceeding 50% or more. This will test the HRS to a much greater extent than has been the case in previous projects.

Keywords: new fuel cell vehicle solutions,high utilization,grid balancing,energy storage
Cross-Linguistic statistical inference using hierarchical Bayesian models (CrossLingference)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Historical linguistics and linguistic typology share the objective of explaining cross-linguistic variation. Their traditional research agendas have been largely disjoint though since historical linguistics strives for depth and typology for breadth. This tension has been replicated in current statistical and computational renderings of two sub-disciplines. Computational models of language change generally focus on individual language families, while statistical typology pays little attention to diachronic processes. CrossLingference will bridge this gap. Using Bayesian hierarchical models, the reach of modern phylogenetic linguistics will be extended to cross-family models, where each lineage is assumed to follow its own dynamics, but cross-family variation is constrained and data from one family are used to make inference about the processes in other families. At the same time, state-of-the-art generalized linear mixed models will be extended to control both for genealogical history and language contact. These model-based approaches will be complemented by agent-based simulations. CrossLingference will implement this general programme for the following domains of application, securing a lasting impact both on statistical typology and on computational historical linguistics: - Sound laws in language change, enabling automatic reconstruction of proto-language vocabulary, - Causal relationships between typological variables. - Factoring of universal tendencies, historical contingencies and language contact in explaining variation in word-order types and inflectional paradigms.

Keywords: historical linguistics,linguistic typology,phylogenetic inference,bayesian inference,hierarchical models
AI-Driven Cognitive Robotic Platform for Agile Production environments (ACROBA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Germany,Spain,Spain,Ireland,Germany,Spain,Ireland,Italy,Finland,Romania,Switzerland,France,France,Netherlands
Call: Robotics in Application Areas and Coordination & Support (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 8052261.88
EU funding (EUR): 6911699.13
Participants: 18
Project status: SIGNED

ACROBA project aims to develop and demonstrate a novel concept of cognitive robotic platforms based on a modular approach able to be smoothly adapted to virtually any industrial scenario applying agile manufacturing principles. The novel industrial platform will be based on the concept of plug-and-produce, featuring a modular and scalable architecture which will allow the connection of robotic systems with enhanced cognitive capabilities to deal with cyber physical systems (CPS) in fast-changing production environments. ACROBA Platform will take advantage of artificial intelligence and cognitive modules to meet personalisation requirements and enhance mass product customisation through advanced robotic systems capable of self-adapting to the different production needs. A novel ecosystem will be built as a result of this project, enabling the fast and economic deployment of advanced robotic solutions in agile manufacturing industrial lines, especially industrial SMEs. The characteristics of the ACROBA platform will allow its cost-effective integration and smooth adoption by diverse industrial scenarios to realise their true industrialisation within agile production environments. The platform will depart from the COPRA-AP reference architecture for the design of a novel generic module-based platform easily configurable and adaptable to virtually any manufacturing line. This platform will be provided with a decentralized ROS node-based structure to enhance its modularity. ACROBA Platform will definitely serve as a cost-effective solution for a wide range of Industrial sectors, both inside the consortium as well as additional industrial sectors that will be addressed in the future. The Project approach will be demonstrated by means of five industrial large-scale real pilots, Additionally, the Platform will be tested through twelve dedicated Hackatons and two ACROBA On-Site Labs for technology transfer experiments.

Keywords: reference architecture,copra ap,hackatons,agile production
A portable single-molecule fluorescence imager (NANOIMAGER)

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: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2014-12-01
End date: 2016-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

This proposal focuses on activities that support the advancement of a novel compact optical microscope to the proof-of-concept stage. The microscope (“NanoImager”) is based on single-molecule fluorescence imaging; its development resulted from efforts to improve microscopes within the ERC project POLMACHINE. Single-molecule fluorescence is the most popular way of visualizing single molecules, especially in living cells; imaging-based microscopes are the most popular of fluorescence microscopes. However, there are few commercial single-molecule fluorescence microscopes; the existing ones are large, complex and expensive. In contrast, the NanoImager has the potential to be can be much smaller and affordable, while matching the high sensitivity, high temporal/spatial resolution, and stability of the larger microscopes. As such, the NanoImager can address large unmet needs in research, teaching, ultrasensitive analysis, and biomedical diagnostics, and open new applications, especially due to its robustness, portability, size and cost. To bring the Nanoimager closer to the market, we will develop an advanced prototype and explore opportunities for its commercialization. Specifically, we will build and test a prototype fully equipped with software for instrument control and data analysis; we will also work with early adopters to test the prototype and prepare it for the broader market. Finally, we will also perform business-related activities to explore routes for commercialization (from licencing to a spin-out) and clarify the IP landscape. The final outcomes of the project will be the improvement of our prototype up to commercial standards, a clear definition of the competitive and novel aspects of our technology, and an informed, leveraged decision regarding its route to the market.

Keywords: single molecule,fluorescence imaging,super resolution imaging,single molecule fluorescence microscopy
GroupEstate Feasibility Study (GroupEstate)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Germany
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-02-01
End date: 2015-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

GroupEstate is an innovative ICT business that seeks to solve a major social problem - access to affordable home ownership. It addresses this problem by providing an online platform that allows individuals to start and manage a shared property project, in which the ownership structure of a property is split between several individuals. By dividing the cost of purchasing real estate, participating individuals can more readily gain access to the property market, thereby affording them at least a portion of the benefits of home ownership. To enable this disruptive approach to property and finance markets, GroupEstate will develop prototypes of its internet-based software product for European markets. Important milestones - such as the acquisition of beta test users, securing of banking and real estate industry partners, incubation period in a technology hub, and nomination for a major European innovation prize - have been reached. GroupEstate will now launch a six-month feasibility study to analyse its progress, refine and expand its technology, identify key customer segments, assess and improve existing financial assumptions and market size analysis, and explore current and potential revenue channels. The feasibility study will include a review of international expansion opportunities by studying European markets according to a set of criteria, identifying potential partners, reviewing regulatory and legal environments, checking prototype product fit and localization requirements, and undertaking a cost analysis. The feasibility study will be prepared concurrently alongside a detailed business plan. GroupEstate's innovative and scalable technology product will disrupt existing markets, solve a social challenge, and generate sustainable and profitable revenues. But it also carries high risks and barriers to entry. A detailed feasibility study and business plan is needed to understand and overcome the obstacles to implementing its visionary solution.

Keywords: solving the social challenge of access to affordable home ownership through an ict platform
Intentions in Action: Establishing the neural causes of intentional action (Intentions in Action)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

The neuroscientific study of intentional action has produced puzzling and contradictory results: intentions show up at a variety of brain locations, and up to ten seconds before a decision has been made. Recently, it has been argued that intentions do not underlie voluntary action at all. At the same time neural states have been found that could be correlated with future actions, suggesting a role for intentions after all. The proposed project suggests that the cause of these seemingly contrasting results lies in the heterogeneous composition of everyday actions, consisting of both immediate and future-directed components. The proposed research promises to go to the bottom of this controversy by investigation what types of actions can be accomplished without discrete states like intentions, and for what types of actions intentions are needed. It will do so by looking for common factors in brain states underlying actions using functional Magnetic Resonance Imaging. Particularly, it will be investigated whether similarity in motor acts, actions, or contexts are crucial for finding commonalities in brain states. Next, it will be investigated whether immediate actions and future actions differ with respect to the neural control processes, thereby directly testing the applicability of a philosophical distinction to neuroscientific research. Finally, it will be assessed whether these processes are unique for self-chosen actions, or also apply to cued actions as well. This will relate the study of intentional action directly to adjacent scientific fields studying prospective memory and task sets. By solving these issues the proposed research sets out to create a novel and detailed account of intentional action which will function as a framework for future research in philosophy, psychology, and neuroscience.

Keywords: cognitive neuroscience,philosophy of mind
A Global Comparative Ethnography of Parliaments, Politicians and People: representation, relationships and ruptures (EoPPP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Ethiopia,United Kingdom,United Kingdom
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 2494881.0
EU funding (EUR): 2395636.0
Participants: 3
Project status: SIGNED

Relationships between politicians and the people they represent are in turmoil. This is no more evident than on social media. Although the digital revolution has created unprecedented scope for political expression and debate, potentially acting as a connective tissue binding the public to politicians, the sobering reality of echo-chambers and post-truth populist memes has tempered the optimism of many. In embracing social networking, politicians have exposed themselves to daily criticism for perceived breaches in their legislative and representative responsibilities. The institutions that lie at the heart of our democracies – parliaments – are under constant attack by the media and disdained by the public. Their cultures are also under-researched by scholars. At a time when in-depth political scrutiny has a vital role to play in addressing democratic deficits, this research will uncover the relationships between parliaments, politicians and people – as expressed and shaped by political communication – in six democracies. We will explore the causes of rupture, crises of representation, and pathways towards more inclusive and relational communication between politicians and people. Leading a team of experienced ethnographers, Professor Emma Crewe (PI) will remould how representatives within parliaments are studied. This research will position anthropology as an intellectually influential, and potentially transformative, source of scholarship on everyday politics. She is eminently placed to direct this research as the world’s leading ethnographer of parliaments, having published ground-breaking ethnographies of the UK Parliament and mentored scholars researching parliaments elsewhere. Having played a pivotal role in the development of the anthropology of development in the 1980s, Crewe is similarly poised to reshape the study of parliament globally by guiding ethnographers to conduct research across Europe, Asia, Africa, North America, South America and Oceania.

Keywords: ethnography,politicians,parliaments,anthropology