Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Smart strategies for the transition in coal intensive regions (TRACER)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Coordination and support actions
Countries involved: Ukraine,Germany,Austria,Germany,Romania,Poland,Serbia,Belgium,Romania,Bulgaria,Greece,Czechia,United Kingdom,United Kingdom
Call: Transition in coal intensive regions (H2020-LC-SC3-2018-NZE-CC, 2018)
Start date: 2019-04-01
End date: 2022-09-30
Duration (months): 42.0
Total project cost (EUR): 1999956.25
EU funding (EUR): 1999956.25
Participants: 15
Project status: CLOSED

The overall objective of TRACER is to support a number of coal-intensive regions around Europe to design (or re-design) their Research and Innovation (R&I) strategies in order to facilitate their transition towards a sustainable energy system. TRACER consortium partners have been carefully selected to involve organisations with complementary expertise and excellent long-term collaboration contacts with key public and private stakeholders of important coal intensive regions, proven by 40 Letters of Support provided during proposal preparation. Good geographical coverage among countries and regions with high dependence on coal production and use has been ensured through the inclusion of seven target regions in EU Members States (South East Bulgaria, North West Bohemia - Czech Republic, Lusatian Lignite District - Germany, West Macedonia - Greece, Upper Silesian Coalfield - Poland, West Romania, Wales - UK), and two in countries outside the EU (Kolubara - Serbia, Donetsk - Ukraine). Core activities of TRACER include the Implementation of an EDP (Entrepreneurial Discovery Process) to mobilise a wide range of stakeholders in each target region to develop an appropriate governance structure and to bring regional stakeholders together to discuss and agree on a shared vision and priorities for coal transition. R&I strategies, industrial roadmaps and decision support tools will be developed jointly with key stakeholders of the TRACER target regions. Further TRACER activities include the identification and analysis of best practice examples of successful and ambitious transition processes in coal intensive regions, a detailed assessment of social, environmental and technological challenges, the elaboration of guidelines on how to mobilise investment as well as dedicated activities to stimulate R&I cooperation among coal intensive regions in Europe and beyond.

Keywords: energy transition,coal intensive regions,randi strategies,industrial roadmaps,entrepreneurial discovery process,social challenges and re skilling needs,set plan,mobilising investment
Open ENergy TRansition ANalyses for a low-carbon Economy (Open ENTRANCE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Research and Innovation actions
Countries involved: Germany,Austria,Germany,Germany,Spain,Austria,Austria,Germany,Norway,Türkiye,France,Netherlands,Denmark
Call: Modelling in support to the transition to a Low-Carbon Energy System in Europe (H2020-LC-SC3-2018-NZE-CC, 2018)
Start date: 2019-05-01
End date: 2023-06-30
Duration (months): 50.0
Total project cost (EUR): 4985365.0
EU funding (EUR): 4985365.0
Participants: 15
Project status: SIGNED

Open ENTRANCE addresses the development, use and dissemination of an open, transparent and integrated modelling platform for assessing low-carbon transition pathways. The platform will be populated with a suite of state-of-the-art modelling tools and data for covering the multiple dimensions of the energy transition. This will facilitate and improve the dialogue between researchers, policy makers and industry when investigating central questions in the transition. Open ENTRANCE will improve the adequacy of the energy modelling approaches in different ways: i) the quality of the models that will be included in the suit ii) the linking of models which makes it possible to run analyses faster and to conduct a number of sensitivity analyses iii) by integrating large-scale empirical data about human behaviour into energy modelling tools iv) by combining detailed bottom-up and top-down approaches. Open ENTRANCE will demonstrate the functionality of the platform by conducting scenario building exercises, in-depth (case) studies and macro-economic analyses of the transition. Energy transition pathways will provide strategic recommendations to policy-makers. The platform allows 3rd party users to link own tools to the database and to conduct comparative studies to the results from Open ENTRANCE. IIASA guaranties that the database will be open accessible at least 10 years after the end of the project. If new projects will use the platform, it is possible to develop it further. Open ENTRANCE is built on a number of national and European energy modelling projects. The Consortium includes 13 energy modelling groups in addition to World Future Council which is responsible for dissemination and communication. Open ENTRANCE will arrange 12 workshops for stakeholder discussions, 4 annual conferences and 1 workshop in the European Parliament. 45 stakeholders have signed for their interest in the project so far. Open ENTRANCE is a 4-year project with a budget of 4.9 mill Euro.

Keywords: open linked models,open scenario data per european nation,12 stakeholder workshops
Stroke diagnostic imaging performed with ultrafast ultrasound localization microscopy (uULM) (ResolveStroke)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: France
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2024-02-29
Duration (months): 66.0
Total project cost (EUR): 1995098.0
EU funding (EUR): 1995098.0
Participants: 1
Project status: SIGNED

Each year, stroke kills 6 million people worldwide and permanently disable another 5 million. The prognosis is defined by the extent of the stroke, along with the rapidity by which it is identified and treated. Current diagnostic imaging, MRI and CT, require specialized centers and time. Even though ultrasound could provide a rapid and portable diagnostic tool, it is currently constrained by diffraction, which yield a theoretically incompressible compromise between the penetration in depth and through the skull with respect to the minimum detectable vessel size. We have recently demonstrated that the diffraction limit in ultrasound imaging can be surpassed in the rat brain in-vivo [Errico et al. Nature 2015]. Inspired by FPALM, Ultrafast Ultrasound Localization Microscopy (uULM) can reach resolutions of a tenth of the wavelength, in-depth with a clinical contrast agent and scanner. It is now possible to use lower ultrasound frequencies, which easily penetrate the skull and travel deep into tissue, to observe vessels at the micron-scale. In the context of stroke diagnosis, we propose to use uULM to reconstruct the entire human brain vasculature, within a few minutes, with a portable ultrasound system positioned on the patient’s head. First, the project ResolveStroke proposes to develop an animal trans-skull vascular scanner to define biomarkers linked to stroke. 3D mapping at the capillary scale will allow us define new anatomical and physiological biomarkers. Secondly, a human system will be built, initially fully-sampled but eventually smaller and portable. The last stage will consist in a proof-of-concept of the ultrasonic angiogram in patients with subacute ischemia. By saving previous time and, hence, brain tissue, we believe that a portable ultrasound system that could map the vascular structure of the human brain in intensive care units or even ambulances could have a profound impact on the management of stroke patients.
The oldest and the rarest - combining insight from both hemispheres to gain a global picture of baleen whale origins and macroevolution (MYSTICETI)

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: Environment and Geosciences
Countries involved: Australia,Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-16
End date: 2018-11-15
Duration (months): 36.0
Total project cost (EUR): 264780.0
EU funding (EUR): 264780.0
Participants: 2
Project status: CLOSED

Baleen whales (Mysticeti), the largest animals on earth, are a spectacular example of evolutionary adaptation and, as predators and nutrient distributors, a major component of the modern ocean ecosystem. Their relatively good fossil record, large ecological impact and the existence of extant species as a source of comparative data make mysticetes an ideal macroevolutionary case study – promising fundamental insights into the interaction between biodiversity, evolution, and the physical environment. Previous research into the mode and tempo of baleen whale evolution has been hampered by a historical data bias towards the Northern Hemisphere, poor taxon sampling, and disjunct methodologies. I propose to address these issues through (1) targeted sampling of Southern Hemisphere fossil material to create the most comprehensive and most balanced dataset on mysticete morphology to date; (2) the application of cutting-edge phylogenetic methods, including new Bayesian techniques to simultaneously infer phylogeny, divergence dates, evolutionary rates and ancestral body size; (3) reconstructing past mysticete diversity, disparity (morphological diversity) and shifts in their rate of diversification, as well as ancestral geographic ranges and dispersal patterns; and (4) integrating all available data and results with palaeoenvironmental proxies to test whether mysticete evolution has been driven by environmental change. This project will create a benchmark for future studies as one of the most comprehensive and multifaceted macroevolutionary syntheses for any major vertebrate clade, and provide profound insights into evolutionary processes and the workings of the marine ecosystem.

Keywords: palaeobiology,palaeontology,phylogenetics,cetacea,mysticeti,baleen whale,diversity,disparity,body size,evolutionary rates,macroevolution
Advanced personalised, multi-scale computer models preventing OsteoArthritis (OACTIVE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Italy,Germany,Italy,Cyprus,Belgium,Greece,Greece,Belgium,Greece,United Kingdom
Call: Personalised computer models and in-silico systems for well-being (H2020-SC1-2017-CNECT-2, 2017)
Start date: 2017-11-01
End date: 2021-04-30
Duration (months): 42.0
Total project cost (EUR): 4984033.75
EU funding (EUR): 4984033.75
Participants: 13
Project status: CLOSED

Osteoarthritis (OA) is a degenerative disease of the articular cartilage and the most common form of arthritis that causes joint pain, mobility limitation and, thus, reduces independence and overall quality of life. Although the usual population associated with the condition is the elderly (65 years old ranges from 12- 30%), who are mostly inactive, athletes and younger individuals are also susceptible. Whilst the available data have implicated the role of the various modifiable or non-modifiable risk factors in the development and progression of OA, no study has conclusively explored the interaction and integration of other information sets in a patient-specific manner. The current OACTIVE project intents to make a significant leap forward adopting a multi-scale holistic approach where patient-specific information from various levels, including cell, tissue, organ and whole body will be integrated and combined with information from other sources such as biochemical/inflammatory biomarkers, behaviour modeling and social/environmental risk factors to generate robust predictors for new personalised interventions for delaying onset and slowing down progression of OA. OACTIVE targets to patient-specific OA prediction and interventions by using a combination of mechanistic, phenomenological computational models, simulations and big data analytics. Once constructed, these models will be used to simulate and predict optimal treatments, better diagnostics, and improved patient outcomes. Overcoming the limitation of the current treatment interventions, Augmented Reality empowered interventions will be developed in a personalised framework allowing patients experience the treatment as more enjoyable, resulting in greater motivation, engagement, and training adherence. OACTIVE’s mission is to improve healthcare by transforming and accelerating the OA diagnosis and prediction based on a more comprehensive understanding of disease pathophysiology, dynamics, and patient outcomes.

Keywords: osteoarthritis,big data,deep learning,augmented reality,oa prediction,prevention
Logics for Computer Science Program at TU Wien (LogiCS_at_TUWien)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Austria
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2020, 2020)
Start date: 2022-06-01
End date: 2027-05-31
Duration (months): 60.0
Total project cost (EUR): 4339200.0
EU funding (EUR): 2169600.0
Participants: 1
Project status: SIGNED

The Logics for Computer Science Program at TU Wien (LogiCS@TUWien) will be a top international graduate program implementing a unique combination of disciplines where logical methods have a decisive impact on practical computer science and society in the coming decades. Leveraging a multitude of existing grants, initiatives, and collaborations, the LogiCS@TUWien program will match research strength with a doctoral program of strong international visibility that is highly attractive to excellent students. The 13 experienced doctoral supervisors are world leading experts in their respective fields, who attracted significant funding achievements in recent years, including 4 ERC grants, 5 Austrian grants of similar endowment and competitiveness, and a grant for a highly successful doctoral college on Logical Methods in Computer Science (funded from 2014 to 2022), which has attracted 78 brilliant doctoral students. The proposed program improves significantly over this predecessor program, in particular by adding a strong focus on intersectoral exposure and collaboration. The research topics in the field of Artificial Intelligence, Databases, Verification, Algorithms, Security, Distributed and Cyber-physical Systems are driven by demand from industry and real-world problems. This is enabled by the supervisors' strong ties to industry, as evidenced by their spinoffs, and by the regular internships of their doctoral students at research labs of major companies at national and international levels. LogiCS@TUWien will achieve long-term impact by institutionalizing a high-quality PhD program following the seven EU Principles to ensure an innovative doctoral training, and will create a hub in Austria and Europe for logic-related education and training. Interdisciplinarity, a holistic view and the ability to address new challenging problems will shape the career development of outstanding postdocs, future faculty members and visionary leaders in industry.

Keywords: institutionalised structured doctoral program,logic for computer science,interdisciplinary and intersectoral training,algorithms,databases,verification,security,cyber physical systems
Integration of the Biochemical and Mechanical Networks of Cell Division (BIOMECANET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Germany,Spain,United Kingdom
Call: ERC Synergy Grant (ERC-2020-SyG, 2020)
Start date: 2021-07-01
End date: 2027-06-30
Duration (months): 72.0
Total project cost (EUR): 10613236.0
EU funding (EUR): 10613236.0
Participants: 3
Project status: SIGNED

Cellular and sub-cellular organisation at the micrometre length scale ultimately reflects the activity of molecular networks that harness chemical energy to perform precise mechanical work, create functional spatial gradients, and sustain timely temporal changes in molecular activities. In eukaryotic cell division, the biochemical oscillations of the cell cycle drive dramatic morphological changes of the cytoskeleton necessary for bi-orientation of chromosomes and for their subsequent delivery into two daughter cells. This mechanism is at the heart of biology, but it is poorly understood and hard to address because it involves out-of-equilibrium chemistry of many components and Brownian mechanics of the cytoskeleton. BIOMECANET’s extraordinarily ambitious goal is to unravel this interplay by re-engineering it in vitro and by modelling it in silico. To achieve this, BIOMECANET will mobilize an unrivalled catalogue of purified human proteins to reconstitute four fundamental and interlinked biochemical and mechanical protein networks: 1) the cell cycle oscillator with the spindle assembly checkpoint; 2) the metaphase spindle; 3) the chromosome bi-orientation machinery of kinetochores; and 4) the central spindle and its links with the actin cytoskeleton required for cell fission. Then, BIOMECANET will combine these reconstituted networks, integrating temporal control and mechanical forces to analyse the emergence of complex life-like biological function, thus elevating scale and scope of in vitro reconstitutions to an entirely new level. Crucial to the attainment of BIOMECANET’s long-term goals is the synergetic alliance of two biochemists having pioneered different types of biochemical reconstitutions in the complementary areas of cell cycle and chromosome biology (Musacchio) and the cytoskeleton (Surrey), and a theoretician having pioneered physically faithful modelling and simulation of intracellular systems (Nédélec).

Keywords: cell cycle,mitotic spindle,cytoskeleton,self organization,cell division,spindle architecture,mechanical network,biochemical network,active network,molecular motors,computer simulation,microtubules,in vitro reconstitution,kinetochore,fluorescence microscopy,force spectroscopy,droplet microfluidics,biochemical reconstitution,modelling,simulation,theory,central spindle,anaphase,metaphase,origami
EU Differentiation, Dominance and Democracy (EU3D)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Poland,Slovakia,Belgium,Greece,Norway,France,France,Denmark,United Kingdom
Call: Past, present and future of differentiation in European governance (H2020-SC6-GOVERNANCE-2018, 2018)
Start date: 2019-02-01
End date: 2023-07-31
Duration (months): 54.0
Total project cost (EUR): 2999856.25
EU funding (EUR): 2999856.25
Participants: 11
Project status: SIGNED

The UK’s decision to leave the EU sent shock-waves through an EU that had gone through an unprecedented process of integration extending for seven decades. Brexit came at a propitious moment for a Union that was still reeling from the effects of the Euro-crisis, the refugee crisis and other challenges, which had exposed the EU’s vulnerabilities, and served as a reminder that member states may not continue on the same integrationist track. It is widely recognised that the EU that emerged from the crises is more differentiated, but it is not clear if differentiation is part of the problem or part of the solution. All political systems are differentiated, but the EU is distinct in the way it is structured, and in the way in which the process of integration is structured and conducted. The EU’s White Paper contains proposals that variously recommend more and less differentiation. EU3D’s main objective is to develop and apply to the EU and beyond a theory of differentiation that specifies the conditions under which differentiation is politically acceptable, institutionally sustainable and democratically legitimate, and the conditions under which it is not, i.e. when conditions of dominance prevail. EU3D does that through comprehensive analyses of the multilevel EU’s institutional and constitutional make-up across a range of policy areas. To properly address this critical issue, EU3D has devised an innovative analytical approach and a framework of research that provides the necessary benchmarks and that moves research well beyond the state-of-the-art, both theoretically and empirically. Further, EU3D will have an impact on the debate on the future of Europe by a) systematically analysing a broad range of proposals; b) mobilising knowledge and competence of a broad and multidisciplinary network of scholars, practitioners, stake-holders and publics from across Europe; and c) providing policy and polity recommendations that have been tested against EU3D’s benchmarks.

Keywords: differentiation,political science,integration,crisis,democracy,reform,brexit,political theory