Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Atom-Tunneling in Chemistry (TUNNELCHEM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-07-01
End date: 2020-06-30
Duration (months): 60.0
Total project cost (EUR): 1986750.0
EU funding (EUR): 1986750.0
Participants: 1
Project status: CLOSED

Quantum mechanical tunneling of atoms is emerging as an ubiquitous phenomenon in chemistry. Every chemical reaction that includes a hydrogen transfer can be expected to be influenced by tunneling at room temperature. While simulations can monitor tunneling directly, experimental approaches can only detect the consequences. Theoretical investigations, as planned in TUNNELCHEM, have to keep up in order to aid the rational interpretation. We build on significant algorithmic breakthroughs recently achieved in the applicant's group, which allow accurate predictions of tunneling rates in larger systems than previously possible. These possibilities are to be exploited, which requires a big, combined project that can afford high-risk components. In TUNNELCHEM, we will investigate aspects of tunneling in several different areas of chemistry: biochemistry, astrochemistry, catalysis and algorithmic development. The investigation of tunneling contributions to enzymatic reactions will allow to plan modifications which increase the selectivity and efficiency. Several astrochemical processes can only be understood if their tunneling contributions are properly accounted for. Accurate tunneling rates will significantly improve the predictive power of models of the interstellar medium. Many processes in homogenous and heterogenous catalysis involve tunneling. A fundamental understanding of the principles involved allows for the design of improved catalysts. Further development of methods and algorithms in accordance with the demands of the applications is required. TUNNELCHEM will shift the present paradigm from descriptive investigations to a rational design of catalysts enabled by a mechanistic understanding of atom tunneling processes. Only such a combined effort may allow us to understand the principles of tunneling in chemistry and to develop concepts to exploit the tunnel effect for optimizing reactivity and selectivity of chemical reactions in biochemistry and catalysis.

Keywords: astrochemistry
Novel machine learning techniques to improve the forecasting of stroke post-interventive outcomes (MAESTRO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2025-02-28
Duration (months): 36.0
Total project cost (EUR): 245732.16
EU funding (EUR): 245732.16
Participants: 2
Project status: TERMINATED

Stroke is a first-order medical problem (about 600,000 strokes occurred in the EU in 2015), in which rehabilitation is critical. Currently, there are no reliable systems to monitor the patient adherence to this rehabilitation, nor its effectiveness. Combining the ER experience on biosensors and gamification, the expertise on outlier detection and machine learning of IMDEA Networks, and the knowledge on deep learning applied to medicine of the AI Lab at Brown University, in MAESTRO, we will develop algorithms capable of determining rehabilitation adherence and effectiveness by using wearables. This will optimize rehabilitation and forecast recovery by providing information to neurologists and feedback to patients and caregivers. MAESTRO aligns with the H2020 goals in Area III (digitization, research and innovation) as well as health, demographic change, and wellbeing. MAESTRO aims at recruiting 50 patients from Rhode Island Hospital for 4 months in the first of three development cycles. Mobile applications, IoT devices and questionnaires will be used in the first of the three cycles. This is viable since we will use the infrastructure and connections of an existing stroke project on-site. The innovation in MAESTRO lays in the development of software solutions to monitor the rehabilitation of post-stroke patients remotely and passively using off-the-shelf hardware and gamification. The methods employed in MAESTRO, particularly deep learning, permit the automated classification of extremely complex data, allowing scientists to extract important information from data sets that would be unmanageable otherwise. MAESTRO is a unique scientific advance because it will provide doctors, patients and caregivers, group-specific levels of feedback. In addition, the algorithms specifically developed within the project can be the bases of novel developments with different goals, for example translation to clinical practice, or expansion to other neurodegenerative diseases.

Keywords: stroke,rehabilitation,clinical decision support
Off-Design Installed Nacelles (ODIN)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Installed UHBR Nacelle Off-Design Performance Characteristics. (H2020-CS2-CFP11-2020-01, 2020)
Start date: 2021-04-01
End date: 2023-12-31
Duration (months): 33.0
Total project cost (EUR): 3267561.25
EU funding (EUR): 3267561.25
Participants: 4
Project status: SIGNED

Ultra-high bypass ratio engines offer propulsive efficiency improvements and potential fuel burn reduction. The associated larger diameter can lead to an increase in nacelle drag that can erode the expected cycle benefits. Also, larger engines are likely to be closely coupled with the aircraft. Consequently, compact nacelles are needed to counter these aspects and to translate cycle fuel burn benefits into combined engine-airframe performance. An objective of ODIN is to develop design capability and detailed aerodynamic knowledge for installed compact nacelles to operate at off-design conditions such as take-off high lift, windmill and idle. Within a wider context of future power-plant integration, ODIN’s objectives include the improved understanding of exhaust suppression and jet-flap interaction noise. The viable design space for compact nacelles will be determined, across cruise and off-design conditions, with a multi-objective, multi-point optimisation method. High fidelity computations, and state-of-the-art high-resolution measurements with a novel section test rig, will reveal detailed aerodynamics of the design-limiting flow separation mechanisms. A synthesis of the multi-fidelity computational and experimental data will provide a calibration of the medium fidelity methods required for industrial design. An advanced dual-stream exhaust rig test will quantify installed exhaust suppression and jet-flap interaction noise and provide unique data to calibrate the computational methods at design and off-design conditions. Design constraints imposed by noise levels will be identified through experiments and high fidelity acoustic computations, which will also propose acoustic sensor layouts for the UHBR flight test demonstrator. Overall, ODIN will deliver validated design guidelines for novel nacelles to ensure cruise and off-design performance as well as the validation of computational methods for jet noise and exhaust suppression modelling.

Keywords: nacelle,external cowl separation,nozzle suppression,jet flap noise,robust design,windmilling,wind tunnel,validation
Building a 3D innervated and irrigated muscle on a chip. (MyoChip)

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: France,France,United Kingdom,Portugal
Call: FET-Open research and innovation actions (H2020-FETOPEN-1-2016-2017, 2017)
Start date: 2018-11-01
End date: 2023-04-30
Duration (months): 54.0
Total project cost (EUR): 3153553.74
EU funding (EUR): 3153553.74
Participants: 5
Project status: SIGNED

The aim of the MyoChip project is to build a 3D human skeletal muscle irrigated by vasculature and innervated by neurons. The reconstituted 3D muscle will mirror the architecture and function found in vivo, namely in shape, contractility and microenvironment, while irrigation by a vascular network and innervation by human motor neurons will bring additional physiologic pertinence to it. This organ-on-a-chip technology will have numerous applications including but not limited to research on muscle building and aging, drug testing and screening, as well as prosthetics and biorobotics. The feasibility of the project relies on the interdisciplinary approach which joins a team of cell biologists, material engineers, experts in microfluidics and mathematical modellers. The architecture of skeletal muscle and its regenerative capabilities make muscle a prime candidate to push the 3D tissue engineering field. As such the project will lay the technical, material and methodological foundations to tackle the next generation of complex organ-on-a-chip systems that the MyoChip consortium can exploit for the generation of highly complex 3D in vitro systems of many organs.

Keywords: skeletal muscle,vasculature,neuronal network,biomatrices,computational modelling
An accounting integrated carbon management tool for supply chain decarbonisation of SMEs. (Insight)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: United Kingdom
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-1-2015, 2015)
Start date: 2016-02-01
End date: 2016-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

"The market for carbon accounting is a niche but rapidly growing market with the EU market alone being worth £2 billion. Currently all carbon accounting solutions for companies are a time-consuming and expensive process carried out manually by specialised carbon accounting firms. Insight is robust, dynamic carbon and water footprint calculation tool for use by SMEs and suppliers (e.g. manufacturers, energy providers, material suppliers). The platform has proven interoperability with widely-adopted accounting software packages and the underlying data it maintains. The proposed integration would derive the carbon footprint of the company by analyzing its accounting records with the Insight platform simply by the user entering his or her account details, authorizing the integration - after this, the user would receive a full, visual analysis of their carbon footprint, and recommendations for how to reduce it. The system is fully automated with analyses being carried out in 1-2 minutes and is free to use by SMEs. Insight is also a platform for manufacturers, energy providers, and resource suppliers to advertise their services to SMEs looking to reduce their environmental impact in the supply chain. The feasibility study will help determine the potential for Insight to become fully automated. This automation is critical for delivering on the unique value proposition we present to EU SME's, namely that the platform must require minimal time and financial commitment by the SME user. The project will focus on establishing a sound business model and commercialization strategy as well as planning the necessary activities to deploy a pilot test involving SMEs and suppliers. "

Keywords: environmental impact measurement,carbon footprint accounting,water footprint accounting,sme emissions,low carbon supply chain
Sulfur and Chalcophile elements in the Mantle: An Experimental Investigation of the Sulfur Cycle in the Terrestrial Interior (SuChaMa)

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: Environment and Geosciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2023-10-31
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: SIGNED

Sulfur (S) is a fundamental element in geo/biochemistry, due to its effects on atmosphere chemistry, its essential role for the origin and evolution of life and its importance for mantle chemistry. It is also a volatile element and thus provides key insights into how the Earth’s volatile flux developed through time. The terrestrial S cycle is governed by the initial amount of S present during Earth’s accretion, the extent to which S degassed and/or delivered during accretion, the amount of S that was/is recycled into the deep Earth by plate tectonics and the compatibility of S in the (deep) terrestrial interior (core, sulfide matte, minerals). Unfortunately, the potential reservoir role of minerals and deep sulfide mattes for S and chalcophile elements is as of yet not well constrained, prohibiting a full understanding of the terrestrial S cycle. Sulfide-loving (chalcophile) elements are important geochemical tracers of S due to their compatibility in these phases. The proposed research will investigate crucial aspects of the S cycle using experimental petrology. Novel high pressure-temperature experiments will be conducted at WWU Münster to constrain the reservoir potential of mantle and crustal phases in terms of S and chalcophile elements. Experiments will be chemically analyzed using micro-analytical methods, and these results will be used to obtain thermodynamic models describing their distribution between minerals, sulfides and melts at high pressure. The models will be used to fully constrain the terrestrial S and chalcophile element cycle. During his PhD research and first postdoctoral fellowship at the Carnegie Institution for Science (USA), he has worked with a wide range of experimental and analytical methods. WWU would greatly benefit from the applicant’s research experience and international collaborations. Finally, the applicant would benefit greatly from doing the proposed research at one of the world’s top experimental petrological institutes.

Keywords: experimental petrology,high pressure high temperature experiments,sulfide ore petrogenesis,terrestrial mantle,late accretion,chalcophile elements,volatile elements
Communication role on perception and beliefs of EU Citizens about Science (CONCISE)

Framework: Horizon 2020 — Science with and for Society
Programme: Improving knowledge on science communication in order to improve the quality and effectiveness of interactions between scientists, general media and the public
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Italy,Spain,Poland,Slovakia,Poland,Portugal
Call: Taking stock and re-examining the role of science communication (H2020-SwafS-2018-1, 2018)
Start date: 2018-12-01
End date: 2021-01-31
Duration (months): 26.0
Total project cost (EUR): 1198337.5
EU funding (EUR): 1198337.5
Participants: 9
Project status: CLOSED

CONCISE aims to generate a European-wide debate on science communication, involving a wide array of stakeholders, from media outlets to policy makers, from scientists to business companies, from science communicators to civil society organisations. CONCISE aims at providing qualitative knowledge through citizen consultation on the means/channels (media and social networks, life experience, relatives, religion, political ideology, educational system...), by which EU citizens acquire their science-related science knowledge, and how this knowledge influences their beliefs, opinions, and perceptions. For this purpose, CONCISE will explore the understanding of 500 citizens (representing the 500 million EU citizens), regarding four selected topics: vaccines, complementary and alternative medicine use (CAM), genetically modified organism (GMO), and climate change. CONCISE will carry out a citizen consultation in four countries: Lisbon (Portugal), Valencia (Spain), Vicenza (Italy), Trnava (Slovakia) and Lodz (Poland), with the participation of 100 citizens in each country (selected volunteers and representatives of different social groups, considering gender, age, educational level, ethnic minorities, impaired people, and professional careers). Their understanding and position on these four scientific topics will be evaluated, validated, compared and analysed, in order to publish the results in open access by the CONSORTIUM team. Citizen opinions will be recorded; transcript and analysed with a corpus linguistics software in order to get different indicators that will help all stakeholders to have a more direct and fruitful communication, avoiding the danger of discourses that generatedistrust and misunderstandings. CONCISE results will be scalable and its methodology could be applied to other European countries in order to increase the communication of science in terms of quality and quantity all over Europe.

Keywords: vaccines,complementary and alternative medicines,genetically modified organisms,climate change,public consultation,science popularization
Radio Technologies for Broadband Connectivity in a Rapidly Evolving Space Ecosystem: Innovating Agility, Throughput, Power, Size and Cost (REVOLVE)

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: Information Science and Engineering
Countries involved: Spain,Italy,Germany,Spain,France,France,France,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2017-01-01
End date: 2021-06-30
Duration (months): 54.0
Total project cost (EUR): 1834895.07
EU funding (EUR): 1834895.0699999998
Participants: 11
Project status: CLOSED

Radio signals are core to space systems and services; they are the backbone of satellite broadcasting & communications and further represent the primary underpinning technology of the nearly ubiquitous space-based radio navigation services as well as a large number of Earth observation instruments. Radio technologies are therefore central in defining the investment return for a wide range of missions and reflect to a significant fraction of the combined space and ground segment infrastructure. As the frightening rates of concurrent advances in space-related services, business models and technologies are driving the space ecosystem to a new age, the need to re-invent radio technologies for space is becoming increasingly urgent; while the sector is proactively looking for the next game changer, a whole new class of emerging and forecasted missions place urgent demands for drastic reduction in cost with a concurrent radical improvement in throughput, agility, volume/mass and power consumption. This paradigm shift dictates an acute need of highly trained researchers and engineers with a broad set of skills and abilities that extend across and beyond conventional boundaries, enabling them to re-think current approaches and pioneer fresh concepts and radio technologies for space. Recognising this urgent need, REVOLVE brings together a world-leading consortium of 4 industrial and 2 academic beneficiaries aiming to challenge conventional practice in a training network formed around the following five pillars; P1: excellent science & engineering; P2: cross-fertilisation within and between sectors and technologies; P3: application-focused R&D; P4: innovation-centred training, and; P5: promote career acceleration and fulfil personal potential.

Keywords: broadband satellite communications
Conflict, Competition, Cooperation and Complexity: Using Evolutionary Game Theory to model realistic populations (FourCmodelling)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Italy,Hungary,Hungary,Czechia,Netherlands,United States,Canada,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 243000.0
EU funding (EUR): 216000.0
Participants: 11
Project status: CLOSED

Real animals and human populations are complex, involving structural relationships depending upon space and time and varied interactions between potentially many individuals. Human societies feature family units, communities, companies and nations. Some animal also have complex societies, such as primate groups and social insect colonies. Single organisms themselves can be thought of as complex ecosystems, host to many interacting life forms. Models of populations are necessarily idealised, and most involve either simple pairwise interactions or "well-mixed" structureless populations, or both. In this project we shall develop game-theoretical models, both general and focused on specific real population scenarios, which incorporate population structure and within population interactions which are both complex in character. We will focus on the themes of Conflict, Competition, Cooperation and Complexity inherent in the majority of real populations. There will be four complementary subprojects within the overall project. The first will focus on developing a general theory of modelling multiplayer evolutionary games in structured populations, and will feed into each of the other three subprojects. The second will consider complex foraging games, in particular games under time constraints and involving sequential decisions relating to patch choice. The third will involve developing computational models of spatio-temporal dynamics for the modelling of pandemics. The final subproject will model cancer as a complex adaptive system, where a population of tumour, normal and immune cells evolve within a human ecosystem. The four subprojects will be developed in parallel fostered by frequent research visits and interactions, each involving a team comprising of EU and North American researchers, and will feed into each other through regular interactions and meetings. The aim is to develop a rich, varied but consistent theory with wide applicability.

Keywords: evolutionary games,evolutionary graph theory,dynamic processes,predator prey,symmetric games,structured populations,foraging games,algorithmic methods,adaptive therapy,cancer models