Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Structure Preserving schemes for Conservation Laws on Space Time Manifolds (SuPerMan)

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: Mathematics
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-06-01
End date: 2023-05-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: SIGNED

SuPerMan proposes the development and efficient implementation of new structure preserving schemes for conservation laws formulated in an elegant and universal form through covariant derivatives on spacetime manifolds. Indeed, nonlinear systems of hyperbolic PDEs are characterized by invariants, whose preservation at the discrete level is not trivial, but plays a fundamental role in improving the long term predictivity and reducing the computational effort of modern algorithms. Besides mass and linear momentum conservation, typical of any Finite Volume scheme, the preservation of stationary and moving equilibria, asymptotic limits and interfaces still represents an open challenge, especially in astrophysical applications, such as turbulent flows in gas clouds rotating around black holes. In this project, our focus will thus be on General Relativistic Hydrodynamics (GRHD) for which such Well Balanced (WB) Structure Preserving (SP) schemes have never been studied before. In particular, we plan to devise smart methods, independent of the coordinate system. This will be achieved by directly including the metric, implicitly contained in the covariant derivative, as a conserved variable inside the GRHD model. This approach will first be tested on the Euler equations of gasdynamics with Newtonian gravity, extending already existing WB-SP techniques to general coordinate systems. All novel features will be carefully proven theoretically. Next, the new schemes will be incorporated inside a massively parallel high order accurate Arbitrary-Lagrangian-Eulerian Finite Volume (FV) and Discontinuous Galerkin (DG) code, to be released as open source. The feasibility of the project is guaranteed by the strong network surrounding the ER, including experts on WB-SP techniques and mesh adaptation (INRIA France), FV-DG schemes and GRHD (UniTN Italy) and computational astrophysics (MPG Germany). This MSCA project will allow the applicant transition to become an independent researcher.

Keywords: hyperbolic pde on manifolds,well balanced method,finite volume and discontinuous galerkin schemes,euler equations gravity,general relativistic hydrodynamics,arbitrary lagrangian eulerian method
Collaborative Aerial Robotic Workers (AEROWORKS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Advanced interfaces and robots: Robotics and smart spaces
Action type: Research and Innovation actions
Partnership: Robotics SPARC (cPPP)
Countries involved: Germany,Switzerland,Greece,Sweden,Sweden,Sweden,Netherlands,United Kingdom
Call: Robotics (H2020-ICT-2014-1, 2014)
Start date: 2015-01-01
End date: 2017-12-31
Duration (months): 36.0
Total project cost (EUR): 5906642.75
EU funding (EUR): 3671935.0
Participants: 11
Project status: CLOSED

With aging infrastructure in developing-and-developed countries, and with the gradual expansion of distributed installations, the costs of inspection and repair tasks have been growing vastly and incessantly. To address this reality, a major paradigm shift is required, in order to procure the highly automated, efficient, and reliable solutions that will not only reduce costs, but will also minimize risks to personnel and asset safety. AEROWORKS envisions a novel aerial robotic team that possesses the capability to autonomously conduct infrastructure inspection and maintenance tasks, while additionally providing intuitive and user-friendly interfaces to human-operators. The AEROWORKS robotic team will consist of multiple heterogeneous “collaborative Aerial Robotic Workers”, a new class of Unmanned Aerial Vehicles equipped with dexterous manipulators, novel physical interaction and co-manipulation control strategies, perception systems, and planning intelligence. This new generation of worker-robots will be capable of autonomously executing infrastructure inspection and maintenance works. The AEROWORKS multi-robot team will operate in a decentralized fashion, and will be characterized by unprecedented levels of reconfigurability, mission dependability, mapping fidelity, and manipulation dexterity, integrated in robust and reliable systems that are rapidly deployable and ready-to-use as an integral part of infrastructure service operations. As the project aims for direct exploitation in the infrastructure services market, its results will be demonstrated and evaluated in realistic and real infrastructure environments, with a clear focus on increased Technology Readiness Levels. The accomplishment of the envisaged scenarios will boost the European infrastructure sector, contribute to the goal of retaining Europe’s competitiveness, and particularly impact our service and industrial robotics sector, drastically changing the landscape of how robots are utilized.

Keywords: aerial manipulation,multi robot collaboration,inspection planning
Pancreatic cancer AI for genomics and personalized Medicine (PANCAIM)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Norway,Sweden,Czechia,Netherlands,Netherlands,United Kingdom
Call: AI for Genomics and Personalised Medicine (H2020-SC1-FA-DTS-2020-1, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 8236378.75
EU funding (EUR): 8236378.75
Participants: 11
Project status: SIGNED

The central PANCAIM concept is to successfully exploit available genomic and clinical data to improve personalized medicine of pancreatic cancer. PANCAIM’s concept is unique as it integrates the whole spectrum of genomics with radiomics and pathomics, the three future pillars of personalized medicine. The integration of these three modalities is very challenging in the clinic, but also with AI. PANCAIM uses an explainable, data-efficient, two-staged AI approach. AI biomarkers transform the unimodal data domains into interpretable likelihoods of intermediate disease features. A second AI layer merges the biomarkers and responds with an integrated assessment of prognosis, prediction and monitoring of therapy response, to assist in clinical decision making. PANCAIM builds on four key concepts of AI in Healthcare: data providers, clinical expertise, AI developers, and MedTech companies to connect to data and bring AI to healthcare. Data quantity and quality is the main factor for successful AI. Partners provide eleven Pan European repositories of almost 6000 patients that are open to ongoing accrual. SME Collective Minds builds the GDPR data platform that hosts the data and provides a trustable connection to healthcare for even more and sustainable data. SME TheHyve builds tooling to connect to more genomic repositories (EOSC Health). Six Pan European academic centers provide clinical expertise across all modalities and help realize a curated, high quality annotated data set. Partners also include expert AI healthcare researchers across all clinical modalities with a proven track record. Finally, Siemens Healthineers provides their AI expertise and tooling to bring AI into healthcare for clinical validation and swift clinical integration in 3000 health care institutes.

Keywords: pancreatic cancer,repositories,personalized medicine,genomic,radiomics,pathomics,clincial data
Misfires and Market Innovation: Toward a Collaborative Turn in Organising Markets (MISFIRES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Ireland
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-08-01
End date: 2024-07-31
Duration (months): 72.0
Total project cost (EUR): 1923780.0
EU funding (EUR): 1923780.0
Participants: 1
Project status: SIGNED

MISFIRES opens up new theoretical and empirical horizons for analysing and innovating ‘concerned markets’, where multiple actors’ interests, values and concerns clash. It asks how actors can engage with a market’s failures to challenge its organisation and make it more collaborative, more open to civic values and to social or political concerns. Concerned markets are contested by diverse actors with equally diverse perspectives and value measures. Evaluating such a market’s efficiency is as much of an illusion as redesigning its inner workings on a blackboard. We need new conceptual frameworks to understand how to innovate concerned markets from the inside to make them ‘better’ (as defined by concerned actors), and we urgently need empirical insights into how collaborative action in markets with such social and political stakes may translate into market change. MISFIRES relies on science and technology studies, pragmatic sociology and critical market studies to shift thinking around market organisation from failure and design to collaboration and experimentation. I devise an ethnographic and participatory inquiry to explore how a market’s failures can lead us to markets that are more attentive to and accommodating of the concerns they create. I choose three exemplary contested markets in healthcare (licensing of antiretroviral drugs, Hepatitis C pricing, and the sale of DNA information) and two emergent controversies to investigate the activities concerned actors undertake, and the instruments and devices they experiment with, to re-organise that market. MISFIRES will comprehensively map, engage in, and conceptualise this collaborative turn in organising markets. With this, MISFIRES will guide new academic and policy thinking by establishing how: 1) concerned actors voice and mobilise around the notion that a market has ‘failed’ them; 2) concerned actors seek to negotiate and address market failures; 3) this process may lead to ‘better’ markets.

Keywords: sociology of markets
DYNAmic seed networks for managing European diVERSITY (DYNAVERSITY)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Coordination and support actions
Countries involved: Germany,Italy,Italy,Germany,Italy,Italy,Belgium,Greece,Hungary,Belgium,Romania,Belgium,France,France
Call: New partnerships and tools to enhance European capacities for in-situ conservation (H2020-SFS-2017-1, 2017)
Start date: 2017-11-01
End date: 2021-04-30
Duration (months): 42.0
Total project cost (EUR): 1922901.25
EU funding (EUR): 1922901.25
Participants: 16
Project status: CLOSED

Conservation of Plant Genetic Resources for Food and Agriculture (PGRFA) is an arena populated by different and composite players. Acknowledging the diversity of the stakeholders involved in the conservation of wild and cultivated biodiversity, DYNAVERSITY will propose a dynamic management and governance aiming at enhancing interactions, complementarities and synergies. DYNAVERSITY will facilitate co-construction between actors (e.g. farmers, gardeners, natural parks, seed craftsmen, community seed banks, researchers, ex situ actors, consumers) and establish new forms of seed networking, socio-environmental knowledge and practices. By creating the Sharing Knowledge and Experience Platform (SKEP), representing stakeholders coming from research, ex situ networks and communities of practice, and taking into account the respect of the singularities of each of the actors, DYNAVERSITY will facilitate exchange and integration of scientific as well as practical knowledge on how to best manage diversity in agriculture and in the entire food chain, restoring evolutionary and adaptation processes. To achieve the above, DYNAVERSITY will integrate Crop Wild Relatives (CWRs) world represented by natural parks to on farm and on garden communities. Specific attention will be paid to map stakeholders, actors and sites and through in depth case study analysis suggesting new sustainable links and partnerships for in situ conservation. DYNAVERSITY will also promote an enabling institutional framework that will allow the creation of new dynamic seed systems. Raising public awareness will be a crucial issue for DYNAVERSITY addressed with specific and targeted communication products adapted to different target groups. DYNAVERSITY will also support seed fairs and Let’ Liberate Diversity communities in order to promote knowledge and seed sharing between stakeholders.

Keywords: genebank,conservation,ex situ,in situ,valorising territories,sharing knowledge,dynamics of actors,networking
CD40 goes innate: defining and targeting CD40 signaling intermediates in the macrophage to treat atherosclerosis (CD40-INN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany,Netherlands
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-12-01
End date: 2023-11-30
Duration (months): 84.0
Total project cost (EUR): 1999420.0
EU funding (EUR): 399883.75
Participants: 2
Project status: TERMINATED

Atherosclerosis, the underlying cause of the majority of cardiovascular diseases (CVD), is a lipid driven, inflammatory disease of the large arteries. Despite a 25% relative risk reduction achieved by lipid-lowering treatment, the vast majority of atherosclerosis-induced CVD risk remains unaddressed. Therefore, characterizing mediators of the inflammatory aspect of atherosclerosis is a widely recognized scientific goal with great therapeutic implications. Co-stimulatory molecules are key players in modulating immune interactions. My laboratory has defined the co-stimulatory CD40-CD40L dyad as a major driver of atherosclerosis. Inhibition of CD40, and of its interaction with the adaptor molecule TRAF6 by genetic deficiency, antibody treatment or (nanoparticle based) small molecule inhibitor (SMI) treatment, is one of the most powerful therapies to reduce atherosclerosis in a laboratory setting. Although CD40-CD40L interactions are associated with adaptive immunity, I recently identified the macrophage as a driver of CD40-induced inflammation in atherosclerosis. We will use state-of-the-art in vitro experiments, live cell-, super resolution imaging, proteomics approaches and mutant mouse models to unravel the role of macrophage CD40 in atherosclerosis. Moreover, using structure based virtual ligand screening, I will develop lead SMIs targeting macrophage CD40-signaling, which I will deliver using macrophage-targeting nanoparticles. My goal is to define the role of macrophage CD40 in inflammation and immunity and disentangle how its activation affects atherosclerosis. I will finally test the feasibility of targeting macrophage CD40-signaling as a treatment for CVD. These studies will define the role of CD40-signaling in the innate immune system in health and (cardiovascular) disease. As components of macrophage CD40-signaling have the potential to be amenable to pharmacological manipulation, we will establish their feasibility as novel targets for (CVD) treatment.

Keywords: atherosclerosis,inflammation,immunology
Extreme-scale Mathematically-based Computational Chemistry (EMC2)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Switzerland,France,France,France
Call: ERC Synergy Grant (ERC-2018-SyG, 2018)
Start date: 2019-09-01
End date: 2026-02-28
Duration (months): 78.0
Total project cost (EUR): 9991997.0
EU funding (EUR): 9991997.0
Participants: 5
Project status: SIGNED

Molecular simulation has become an instrumental tool in chemistry, condensed matter physics, molecular biology, materials science, and nanosciences. It will allow to propose de novo design of e.g. new drugs or materials provided that the efficiency of underlying software is accelerated by several orders of magnitude. The ambition of the EMC2 project is to achieve scientific breakthroughs in this field by gathering the expertise of a multidisciplinary community at the interfaces of four disciplines: mathematics, chemistry, physics, and computer science. It is motivated by the twofold observation that, i) building upon our collaborative work, we have recently been able to gain efficiency factors of up to 3 orders of magnitude for polarizable molecular dynamics in solution of multi-million atom systems, but this is not enough since ii) even larger or more complex systems of major practical interest (such as solvated biosystems or molecules with strongly-correlated electrons) are currently mostly intractable in reasonable clock time. The only way to further improve the efficiency of the solvers, while preserving accuracy, is to develop physically and chemically sound models, mathematically certified and numerically efficient algorithms, and implement them in a robust and scalable way on various architectures (from standard academic or industrial clusters to emerging heterogeneous and exascale architectures). EMC2 has no equivalent in the world: there is nowhere such a critical number of interdisciplinary researchers already collaborating with the required track records to address this challenge. Under the leadership of the 4 PIs, supported by highly recognized teams from three major institutions in the Paris area, EMC2 will develop disruptive methodological approaches and publicly available simulation tools, and apply them to challenging molecular systems. The project will strongly strengthen the local teams and their synergy enabling decisive progress in the field.

Keywords: high performance algorithms,mathematics of molecular simulations,error analysis in numerical simulations
Bringing innovation forward to fuel powered engines by disrupting Total Combustion Technology to drastically reduce the emissions of motorcycles and Small Off-Road Engines (SORE) (TCT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Iceland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-10-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Over 70 million motorcycles and 100 million Small Off-Road engines (SORE) are produced annually worldwide, and market prospects for both markets are splendid: Global demand for motorcycles is projected to climb 3.8% per year through 2020 to 113 million units, valued at $120 billion and the SORE market has a value of $17.7 billion with constant growth. However, pollutant emissions from combustion engines in these devices significantly contribute to air pollution. Therefore, emissions regulations are being released (such as Euro 5 standards for motorcycles, and EU’s Stage V Regulation 2016/1628 for SORE) which can hinder the growth of these markets, as current carburettors (responsible for engines’ emissions) cannot comply with these increasingly stricter regulations. At Fjölblendir ehf we have developed a disruptive fuel injection system, TCT, which will not only allow small motorcycle or off-road engines (250cc) to abide to the stringent emissions regulations, but also perform extraordinarily, guaranteeing a complete combustion as well as increasing fuel efficiency (up to 25% of fuel reduction), torque (25% more) and power at a competitive price. We have already established an agreement with Tillotson (a carburettor manufacturer, OEM for small engines and expert in innovative fuel systems and high performance small engine operation with 73 dealers in 20 countries) to produce the mechanical versions of TCT, and at this point we are focused on developing the new electronic versions of TCT carburettors, which will enhance engines’ performance even more. The overall objective of this TCT project is to achieve the industrialisation of TCT electronic carburettors, and in this way contribute to reducing the environmental impact of both motorcycles and SORE.
A proposal to optimize postprandial glycaemic control and prevent maternal and neonatal complications: timing of acute exercise and underlying mechanisms in healthy, obese and T1DM pregnant women (The MERIT study)

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: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-20
End date: 2024-01-19
Duration (months): 24.0
Total project cost (EUR): 174167.04
EU funding (EUR): 174167.04
Participants: 1
Project status: SIGNED

Hyperglycaemia during pregnancy is a major factor leading to adverse pregnancy complications, and future maternal and offspring diseases. Growing diseases such as obesity and T1DM -hyperglycaemic states- increase this susceptibility to later disease; which can be transmitted to subsequent generations. To find strategies aimed at breaking this intergenerational cycle, which is aggravating the disease burden of this and next generations, is a high-priority within the European Policy Framework. Exercise has been recently proposed as a mean to better control short-term glycaemic responses such as postprandial glucose and glucose variability, and thus reduce adverse maternal and neonatal outcomes. However, it remains unknown which timing of exercise is more effective to optimize postprandial glycaemic control in healthy and impaired metabolic conditions during pregnancy. The mechanisms underlying these benefits also remain to be established. The MERIT project will investigate which timing of exercise (at lunch or dinnertime, and before or after the meal) is more effective to optimize postprandial glycaemic control in healthy, obese and T1DM women during pregnancy. To obtain a mechanistic insight, the muscle molecular signature related to these metabolic responses will be explored, as well as the related muscle molecular changes induced by exercise. This new knowledge on the muscle molecular signature, changes and functionality, will be generated by using last-generation technologies, and cutting-edge bioinformatics analyses. Lastly, the role of the muscle molecular machinery and glycaemic excursions on placental phenotype, and the muscle-placenta crosstalk will be investigated, which further highlights the novelty of this project. Working under the supervision of Prof. van Poppel and Prof. Desoye will boost the fellow´s scientific career development and professional maturation as an independent researcher, in addition to help him setting this pioneering field in Europe.

Keywords: pregnancy,exercise,postprandial glucose,exercise timing,glycaemic control,metabolism,mrna,muscle,placenta