Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Research Knowledge Documentation, Analysis and Exploration in Empirical and Descriptive Sciences (ReKnow)

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: Information Science and Engineering
Countries involved: Greece
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2022-11-30
Duration (months): 24.0
Total project cost (EUR): 165085.44
EU funding (EUR): 165085.44
Participants: 1
Project status: CLOSED

Descriptive and empirical sciences, such as History, Archaeology, Biodiversity, and Cultural Heritage, are the sciences that collect, observe and describe phenomena in order to explain them and draw interpretative conclusions about their behaviour and their relationships under given circumstances. Researchers in these sciences usually encounter problems related to the integration of data coming from different sources, the epistemological adaptation and refinement of their research under specific circumstances, the usability of their data analysis methods and tools, and the transparency and reliability of their research processes and results. The ReKnow project aims to support researchers in descriptive and empirical sciences to better handle these problems by providing models, algorithms and tools that allow for better documentation, analysis and exploration of research processes and data. This will be achieved by combining i) the expertise of the host institution in cultural informatics, its strong background in conceptual modeling and argumentation theory, and its long-standing collaboration with a large number of organisations in descriptive and empirical sciences, ii) a set of training activities that will provide the principal researcher with the required disciplinary and interdisciplinary background to achieve the project objectives and which complement his current expertise in semantic web technologies, exploratory search, and data mining, and iii) the close collaboration with two History projects and a research institute dedicated to the study of the history of science, that provide requirements, use cases and data as well as the opportunity to directly apply the ReKnow results in real scenarios.

Keywords: cultural informatics,conceptual modeling,argumentation and reasoning,metascience,descriptive sciences,empirical sciences
Renewable Energy EMPOWERing European and InDian communities (RE-EMPOWERED)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Innovation actions
Countries involved: India,Spain,Greece,Greece,Denmark,Denmark,United Kingdom
Call: Integrated local energy systems (Energy islands): International cooperation with India (H2020-LC-SC3-2020-NZE-RES-CC, 2020)
Start date: 2021-07-01
End date: 2024-12-31
Duration (months): 42.0
Total project cost (EUR): 5005178.75
EU funding (EUR): 2987287.5
Participants: 14
Project status: SIGNED

The “RE-EMPOWERED” project aims to develop and demonstrate novel tools to provide a complete solution for all stages of a Microgrid/Energy Island and Multi-Microgrid applications. The tools include energy planning ranging from the design of Microgrids from scratch to the upgrade of existing installation to high RES systems. Planning will be guided by decision making about the generation size and other infrastructure parameters, based on economical and reliability criteria. Advanced Energy Management tools and solutions, building on existing proven technologies developed within other EU projects, will be further developed to achieve optimal operation of larger and smaller energy systems considering Demand Side Management (DSM) capabilities. In addition, management tools will exploit synergies with other available energy carriers, including electricity, heating, cooling, water, waste, e-mobility, etc. taking into account availability, operational, security, and reserve constraints. These will be demonstrated to leverage on the advantages load management offers, like greater flexibility and more efficient use of energy infrastructure and resources. From the citizen perspective, this entails the cultivation of higher efficiency mentality and self-sufficiency by an autonomous energy supply culture, when relevant. Concrete actions will be taken for customer driven approaches, supported by dynamic pricing, the establishment of local energy communities and local community training. A specialized tool will be developed and demonstrated to support active involvement of citizens in their own energy generation and management. Moreover dedicated converters, electric vehicles and resilient infrastructures will be developed. All the above-mentioned tools and solutions will be demonstrated in four demo sites with weak or non-existing grid, two in Europe, (Denmark and Greece), and two in India.

Keywords: multi energy carrier integration,energy islands,microgrids
ROBOts in cooperation with a bioCOENOSIS (Robocoenosis)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Italy,Austria,Belgium,United Kingdom,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 2999921.25
EU funding (EUR): 2999921.25
Participants: 5
Project status: SIGNED

The Project Robocoenosis seeks to introduce a novel paradigm of “life form in the loop” which will allow the development of new types of complex bio-hybrid entities, putting together different living organisms and technological elements using a symbiotic/mutualistic method. These bio-hybrid entities will have unique features in terms of energy harvesting, sensing and actuation, and will be fully integrated in their environment of operation. Moreover, they will be autonomous, robust, and non-invasive owing to the use of adapted lifeforms and biodegradable materials. The developed bio-hybrid technology, including tools and methods to interface living organisms and technological elements, will be accessible to a wide community including makers, students, scientists, engineers and SMEs. By enabling the community of high potential actors to enter the field of bio-hybrid design, we will foster this paradigm and the development and extension of bio-hybrid technology.

Keywords: biohybrid robots,underwater monitoring and sensing,life form in the loop
High-Speed Integrated Satellite Data Systems For Leading EU Industry (Hi-SIDE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Germany,Spain,Germany,Greece,Norway,Greece,France,United Kingdom,United Kingdom
Call: High speed data chain (H2020-COMPET-2017, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 6997016.25
EU funding (EUR): 6997016.25
Participants: 14
Project status: CLOSED

The Hi-FLY project aims to develop and validate innovative technologies to remarkably improve space on-board data handling and transfer capabilities, primarily for Earth Observation and partly also for Telecom future missions. To achieve this goal, Hi-FLY will make substantial advances in all major elements of the data chain including inter-satellite and on-board network, payload processing, data compression, protection, storage and transmission. Whilst individual advances can only enable incremental improvements, the breakthroughs in satellite data management required to support the next generation of data intensive missions can be achieved only by jointly designing the complete data chain architecture and considering the overall system performance. . The Hi-FLY project will provide a comprehensive demonstration incorporating all the critical elements of the payload data chain from instrument to ground-station; aiming to substantially increase the payload data-rates that can be supported in future space-based data networks and Earth Observation missions. It will allow an aggregate instrument data-rate of at least 50 Gbps to be supported in the near term together with a roadmap to achieve even higher performance in the future. The Hi-FLY consortium brings together world-leading experienced experts in all the required fields to deliver the objectives and outputs of the project. Industrial leaders, large organisations and SMEs, are joining forces with influential academic to ensure that the research efforts translate into market-ready and industry-aligned technologies. By delivering breakthrough innovation designed to respond to the future space missions’ needs, the Hi-FLY project will ensure that the internationally competitive position of European spacecraft primes and equipment manufacturers is maintained and enhanced in the strategically important area of satellite systems.

Keywords: comprehensive satellite data chain,processing,compression,transmission,on board network
MAKING SENSE OF THE WORLD: COGNITIVE AND NEURAL PROCESSES UNDERPINNING HOW WE COMPREHEND, PREDICT AND REMEMBER EVENTS (EVENTS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-10-01
End date: 2025-09-30
Duration (months): 72.0
Total project cost (EUR): 1947983.0
EU funding (EUR): 1947983.0
Participants: 1
Project status: SIGNED

During our waking lives we are continuously exposed to a vast amount of information about the world around us. Yet somehow we make sense of this information and we consciously experience a coherent and ordered world, where life proceeds in a sequence of events with recognisable beginnings and ends. How the human mind manages to re-process continuous experience into these event-units is remarkably poorly understood. To date, the field has been held back by the significant methodological challenges to studying complex mental processes operating in naturalistic situations. The EVENTS project will address these challenges in an ambitious and interdisciplinary programme of research, involving behavioural studies (including immersive virtual reality), cutting-edge functional MRI and neuropsychology in specialised populations. Across a series of studies, EVENTS will establish how information processed in independent neural modules is combined within a mental “event model”, which is an overarching representation of the important features of any given situation . The project will discover how event models are updated and how they are instantiated in the brain. EVENTS will also define how event models shape our perception and memory of everyday situations and how they interact with stored knowledge. Finally, we will integrate these novel findings with previous disparate lines of evidence into a neurocognitive model of event processing. The knowledge generated by EVENTS will have far-reaching impact across the social, cognitive and neuro- sciences, shedding light on long-standing debates about how we internally represent the external world, how beliefs about the state of the world interact with how we perceive and remember events, and on how we perceive the passage of time. Moreover, the development of a detailed cognitive and neural model of event processing will represent a vital step towards a mechanistic account of conscious experience.

Keywords: event perception,working memory,episodic memory
Advanced Cellular Hierarchical Tissue-Imitations based on Excluded Volume Effect (ACHIEVE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Ireland,Ireland
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 2076770.0
EU funding (EUR): 2076770.0
Participants: 2
Project status: SIGNED

ACHIEVE focuses on the application of Excluded Volume Effect in cell culture systems in order to enhance Extracellular Matrix (ECM) deposition. It represents a new horizon in in vitro cell culture which will address major challenges in medical advancement and food security. ACHIEVE will elucidate extracellular processes which occur during tissue generation, identifying favourable conditions for optimum tissue cultivation in vitro. These results will be applied in the diverse fields of regenerative medicine, drug discovery and cellular agriculture which all require advancements in in vitro tissue engineering to overcome current bottlenecks. Effective in vitro tissue culture is currently limited by lengthy culture periods. An inability to maintain physiologic (in vivo) conditions during this lengthy in vitro culture leads to cellular phenotype drift, ultimately resulting in generation of an undesired tissue. Enhanced tissue generation in vitro will greatly reduce culture times and costs, effecting improved in vitro tissue substitutes which remain true to their original phenotype. The research will be addressed under four work-packages. WP1 will investigate biochemical, biophysical and biological responses to varying culture conditions; WP 2, 3 and 4 will apply results in the fields of Tissue Engineering, Drug Discovery and Cellular Agriculture respectively. Research will involve extensive characterisation of derived- and stem-cell cultures in varying conditions of expansion and relevant health and safety and preclinical testing. The five year programme will be undertaken at the National University of Ireland, Galway, a centre of excellence in tissue engineering research, at a cost of € 2,439,270.

Keywords: cell culture,in vitro,extracellular matrix,macromolecular crowding,excluded volume effect,pathophysiology models,cellular agriculture
Enhancing expectancy formation in healthy aging through statistical and sensorimotor learning (Expectancy learning)

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: Life Sciences
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-06-04
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

My research examines how humans form new expectancies, or states of anticipation for future events, and how expectancy formation changes over the lifespan. Humans constantly anticipate upcoming events in order to understand those events, prepare actions, and adapt to changes. Although the neural and behavioral signatures of expectancies have been well-characterized, we do not know how they arise and how they change over the lifespan. I aim to reveal the following: 1) How new expectancies are formed during the course of learning novel information. 2) How expectancy formation differs between younger and older adults. 3) How the combination of regularities in event structure and sensorimotor integration, a phenomenon that has not been investigated, potentiates expectancy formation. 4) The role of interacting subcortical-cortical neural networks in expectancy formation. I will monitor the dynamic changes in electrophysiological brain responses, as well as overt anticipatory behaviour, over the course of learning in order to capture the changes of anticipatory responses online, and I will apply Bayesian neural network modelling to infer the neural and cognitive state changes underlying these response changes. I will also measure changes in subcortical-cortical networks that result from learning, including structural integrity, functional connectivity, and the ability to decode the learned information. This multi-methods approach will utilize my expertise in behavioural and MRI methods combined with my research group's expertise in EEG and computational modelling, as well as the state-of-the-art EEG, MRI, and laboratory facilities, on-site expertise, and support staff available at Maastricht University. This research is urgently needed so that we can finally understand the origin of expectancies, their consequences on the aging brain, and how we can enhance their formation to improve lifelong learning.

Keywords: expectancy formation,aging,learning,bayesian neural network modelling
Black phosphorus interlayer coupling in heterostructures with boron nitride for photonics (BrightPhoton)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-04-01
End date: 2018-03-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Black Phosphorus or P(Black) is a lamellar crystal of tervalent P atoms stacked by weak Van der Waals interactions that can be exfoliated down to the monolayer. Recent results demonstrate that quantum confinement in P(Black) thin layers leads to promising electronic properties such as an extremely high carrier mobility and tunable direct band gaps from visible to mid-infrared depending on the layer thickness. These properties have significant echoes in photonics and 2D transport physics. Studying pristine P(black) thin layers is however challenging due to the poor chemical and structural stability of elemental phosphorus. Indeed, the PI and his coworkers recently revealed a photo-activated charge transfer process involving adsorbed oxygen and water in ambient conditions that leads to a strong photo-oxidation of P(Black). Our approach targets 1- the fabrication of nano-heterostructures based on P(Black) thin layers sandwiched and or intercalated with protective Boron Nitride (BN) insulator layers ; 2- the fundamental studies of this new type of material. The scientific program focuses on the band gap study of P(black) depending on the thickness by Transmission Electron microscopy (TEM) and on electroluminescence of P(black) based heterostructures. The project represents a major leverage in the career trajectory of the PI by a fast, efficient and sustainable repatriation of this new field of research in the French and European landscape, in complete synergy with the momentum given by the EU member states on 2D related materials. Moreover this action offers, via a strong and customized training programm, a unique opportunity to the PI to acquire new and complementary skills in Boron Nitride thin layer synthesis and TEM, especially the TEM-Energy Electron Loss Spectroscopy (EELS) operating mode, that is particularly well adapted for 2D semiconductors in the hosting laboratory fully expert in these matters and with which the PI has already developed a strong link.

Keywords: black phosphorus,2d materials,photonics,heterostructures,boron nitride,electroluminescence
Tomosynthesis is a low-dose alternate to has CT already transformed Breast Imaging, our vision is to reduce the costs, further enhance sensitivity and reduce dose, and transform portability. (Tomo-FPS)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: United Kingdom
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2015-10-01
End date: 2015-10-31
Duration (months): 1.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The power of 3D X-ray imaging in healthcare in the form of Computed Tomography (CT) is widely accepted, but despite the widespread availability of CT and Magnetic Resonance Imaging (MRI) it is still the basic 2D planar X-ray that constitutes the majority (circa 60%) of medical imaging studies worldwide. Planar X-ray continues to be the “workhorse of radiology” because of its availability, low cost and small system footprint (compared to MRI and CT); its speed of image acquisition and review (compared to all other modalities); its ability to visualize tissues like bone (unlike MRI and Ultrasound); its low radiation dose (unlike CT); and its consistency and objectivity of image acquisition (unlike Ultrasound). Tomosynthesis, a method for performing high-resolution limited-angle tomography at low dose levels, has already transformed breast cancer screening and has demonstrated an ability to near-equal CT in identifying lung nodules symptomatic of lung cancer. Our innovation is a Flat Panel X-ray Source (FPS) that allows tomosynthesis without any moving parts. This will reduce costs and enhance acquisition speed and allows the source to be closer to the subject, reducing power needs and further reducing cost. Unlike current tomosynthesis devices that move the source in 1 dimension, a system using an FPS could vary emission in 2 dimensions which could enhance depth resolution and the ability to localise objects. This would enhance the ability to quantify features, including biomarkers of disease progression. Adaptix will transform planar X-ray by giving it true 3D capability, making it safer by reducing dose (versus CT, and potentially versus planar X-ray), making the systems 50% cheaper than existing market offerings and reducing weight and size by 90%. By doing this we will be improving access to the world’s most important medical diagnostic device and radically changing a $5bn global market.

Keywords: tomosynthesis,x ray,imaging