Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Implementation of activities described in the Roadmap to Fusion during Horizon 2020 through a Joint programme of the members of the EUROfusion consortium (EUROfusion)

Framework: Horizon 2020 — Euratom
Programme: Fusion Energy
Action type: COFUND actions
Partnership:  (EJP-COFUND)
Countries involved: Germany,Italy,Ukraine,Austria,Austria,Austria,Germany,Germany,Germany,Germany,Spain,Spain,Spain,Spain,Spain,Spain,Spain,Spain,Spain,Estonia,Ireland,Ireland,Italy,Italy,Italy,Italy,Italy,Italy,Italy,Italy,Spain,Germany,Italy,Italy,Italy,Spain,Italy,Austria,Cyprus,Finland,Switzerland,Switzerland,Belgium,Belgium,Belgium,Belgium,Bulgaria,Finland,Finland,Finland,Greece,Greece,Greece,Greece,Greece,Croatia,Croatia,Croatia,Hungary,Hungary,Hungary,Poland,Poland,Poland,Poland,Poland,Poland,Poland,Romania,Romania,Romania,Slovakia,Slovenia,Sweden,Sweden,Sweden,Sweden,Greece,Greece,Lithuania,Poland,Poland,Romania,Romania,Latvia,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,France,Czechia,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,Denmark,Denmark,Portugal,United Kingdom
Call: EURATOM (EURATOM-Adhoc-2014-20, 2014)
Start date: 2014-01-01
End date: 2022-12-31
Duration (months): 108.0
Total project cost (EUR): 1329689211.54
EU funding (EUR): 678800000.0
Participants: 208
Project status: SIGNED

A Roadmap to the realization of fusion energy was adopted by the EFDA system at the end of 2012. The roadmap aims at achieving all the necessary know-how to start the construction of a demonstration power plant (DEMO) by 2030, in order to reach the goal of fusion electricity in the grid by 2050. The roadmap has been articulated in eight different Missions. The present proposal has the goal of implementing the activities described in the Roadmap during Horizon 2020 through a joint programme of the members of the EUROfusion Consortium. ITER is the key facility in the roadmap. Thus, ITER success remains the most important overarching objective of the programme and, in the present proposal the vast majority of resources in Horizon 2020 are devoted to ensure that ITER is built within scope, time and budget; its operation is properly prepared; and a new generation of scientists and engineers is properly educated (at undergraduate and PhD level) and trained (at postdoctoral level) for its exploitation. DEMO is the only step between ITER and a commercial fusion power plant. To achieve the goal of fusion electricity demonstration by 2050, DEMO construction has to begin in the early 2030s at the latest, to allow the start of operation in the early 2040s. DEMO cannot be defined and designed by research laboratories alone, but requires the full involvement of industry in all technological and systems aspects of the design. Specific provisions for the involvement of industry in the Consortium activities are envisaged.

Keywords: nuclear fusion
Tree growth and mortality in the face of climate change: A pantropical journey at the crossroad of trait-based and demographic approaches (TropDemTrait)

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: Environment and Geosciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-11-01
End date: 2023-10-31
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: SIGNED

Tropical forests represent key terrestrial ecosystems for carbon stocks and biodiversity. The dynamics of carbon storage in forests are primarily driven by tree performance in terms of mortality and growth. But climate change is rapidly altering tree performance, with important consequences for carbon cycle, climate regulation and biodiversity. Yet, we are still lacking accurate predictions of the response of tropical forest in terms of their composition, dynamics and functions to altered climate. While demographic approaches have traditionally focused on how individual performance vary with ontogeny or size, trait-based approaches have often focused on how morphological or physiological properties of individuals (traits) change with abiotic and biotic factors and links to performance. Though the link between traits and performance influences population dynamics and subsequent community structure and ecosystem functions, we still understand very little about the drivers shaping the trait-performance relationship. With tropical forests facing rapidly changing abiotic and biotic conditions with global changes, we need a better mechanistic understanding of tropical tree growth and mortality response to the interplay of traits with abiotic and biotic factors. The proposed project will yield a major contribution to this goal by using state-of-the-art, powerful modelling approaches with unprecedented demographic data spanning over 40 years and leaf and wood economics and hydraulics traits of over 700 tropical tree species distributed in 74 forest plots along broad soil and climatic gradients on four continents. Our results will bring a mechanistic understanding of how the interplay of species traits, tree size, climate, soil, and biotic interactions impact tree growth and mortality rates in tropical forests, while disentangling region-specific from pantropical effects.

Keywords: trees growth and mortality,community ecology,functional traits,demography,vital rates,climate change,tropical forests,soil,spatial analyses
Global and Regional Emissions Estimates of Non-CO2 Greenhouse gases and Ozone Depleting Substances (GREEN GODS)

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: United States,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-18
End date: 2024-10-17
Duration (months): 36.0
Total project cost (EUR): 271732.8
EU funding (EUR): 271732.8
Participants: 2
Project status: SIGNED

The Montreal Protocol is widely regarded as the most successful international environmental treaty of all time, with substantial benefits to the stratospheric ozone layer and climate. However, recent work has shown that continued vigilance is needed following the first major violation of the Montreal Protocol, originating, at least in part, from eastern China. Since publication, Chinese authorities have reported major enforcement activities to address the problem. However, the work highlighted several remaining scientific challenges that must be addressed to continue to support the Montreal Protocol and, for climate, the Paris Agreement. Firstly, the magnitude of change in global emissions could not be reconciled with that inferred from eastern Asia, suggesting that the models could not accurately simulate year-to-year atmospheric trends, that the uncertainty estimates are insufficient, that as-yet-unidentified emissions occurred elsewhere in the world, or some combination of each. Secondly, the work highlighted the critical need to develop robust global and regional emissions inference capability for the more than 40 greenhouse gases and ozone depleting substances regulated under the Montreal Protocol and other agreements. This project will work collaboratively between the two major global monitoring networks of non-CO2 greenhouse gases and ozone depleting substances – NOAA in the USA and the international AGAGE consortium – to develop new models and statistical methodology to better quantify emissions of non-CO2 greenhouse gases and ozone depleting substances using atmospheric measurements and models of atmospheric transport, and to improve the accuracy of national and international emissions reporting.

Keywords: ozone depletion,greenhouse gas emissions,inverse modelling,non co2 greenhouse gases
Development and Implementation of new generation of Pseudo Random Number Generators based on Kolmogorov-Anosov K-systems (MIXMAX)

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: Physics
Countries involved: Armenia,Switzerland,China,Switzerland,Greece,Denmark
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 360000.0
EU funding (EUR): 252000.0
Participants: 7
Project status: CLOSED

Modern powerful computers open a new era for the application of the Monte Carlo method for the simulation of physical systems of higher complexity. The Monte Carlo simulations are important computational techniques in many areas of natural sciences and have significant application in particle and nuclear physics, quantum physics, statistical physics, quantum chemistry, material science, among many other multidisciplinary applications. In the heart of the Monte Carlo simulations are Pseudo Random Number Generators (RNG). The primary objective of the proposed network is a systematic development and implementation of the state of the art new generation of Pseudo Random Number Generators based on Kolmogorov-Anosov K-systems, which demonstrates excellent statistical properties, into a multidisciplinary usable product. This innovative class of RNG was proposed earlier by the members of the network and relies on the fundamental discoveries and results of Ergodic theory. In order to turn these ideas and earlier research on K-systems generators into a usable product the network undertakes the following actions: To develop an efficient program of the K-system generator with tunable internal parameters of maximal dimensionality and of the order of the Galois field, embedded into a user friendly environment and with an on-line manual; To provide statistical data representing internal characteristics of the K-system generator as a function of the dimensionality of the generator and of the order of the Galois field; To implement the K-system generator into the concurrent and distributed software at CERN for applications in LHC and other HEP experiments; To perform large scale simulations in Quantum Gravity and Quantum Field Theory based on K-system generator. To disseminate the product at CERN and other research centers.These objectives will be achieved by secondments,exchange of knowledge, collective research and training between staff members of the five partners.

Keywords: monte carlo method,monte carlo simulations,numerical simulations,numerical analysis,pseudo random number generators,ergodic theory,kolmogorov k systems,software development,multi thread software
New perspectives on inflation (INFL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-07-01
End date: 2021-06-30
Duration (months): 60.0
Total project cost (EUR): 1568276.0
EU funding (EUR): 1568276.0
Participants: 1
Project status: CLOSED

The research in this proposal will contribute to our knowledge of the dynamics and effects of inflation through the perspective of risk-adjusted inflation and valuation formulas. The goal is to provide new perspectives on inflation and its impact on resource constraints. The first step in this work is to collect new data on inflation options and use them to construct marginal densities for risk-neutral inflation at different horizons. Because there are data for both cumulative and annual inflation, I propose a new non-parametric estimator of the joint distribution of inflation. This provides a new take on inflation dynamics and the anchoring of inflation expectations. The second step is to use these densities as discount factors to price nominal claims. Applying these to the assets and liabilities of a central bank gives a measure of the fiscal capacity of the central bank and the impact of a higher inflation target. The third step combines the densities for inflation with nominal interest rates to gauge how much society dislikes inflation. The risk-neutral densities give inflation strips that reveal how much markets would be willing to pay to eliminate inflation risk. The fourth step is to design inflation-indexed bonds that allow countries to self-insure in a currency union. Understanding how the value and payments of these bonds changes with different measure of inflation, a country can insure itself against some of the shocks that affect its real exchange rate. The fifth step is to design new liabilities of the central bank that allow for a better control of inflation. By issuing inflation-indexed reverses and maintaining the commitment to redeem them one-to-one for currency at all date, the central bank can control inflation. All together, these different projects aim to deepen our understanding of inflation, by focusing on modeling risk-adjusted inflation, to answer old questions and suggest new approaches in monetary economics.
ANNEALING-BASED VARIATIONAL QUANTUM PROCESSORS (AVaQus)

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: Germany,Spain,Spain,France,Netherlands,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2020-10-01
End date: 2024-09-30
Duration (months): 48.0
Total project cost (EUR): 3000000.0
EU funding (EUR): 3000000.0
Participants: 8
Project status: SIGNED

Quantum annealers are devices that prepare the ground state of complex many-body quantum models. These quantum processors have a large transformative power -they can solve real-life problems of interest: scheduling, navigation, quantum chemistry, and many others-, and important technological advantages over universal quantum computers -no need for error correction nor accurate gate operations- that make such processors potentially simpler to design, build, and control. The goal of this consortium is to beat the limitations of current annealing devices regarding heating, noise and dephasing by building and operating a coherent quantum annealer based on superconducting qubits with high connectivity, tuneable interactions and long coherence times. The radical vision in AVaQus is to demonstrate the capacity of quantum annealers to act as general-purpose quantum simulators of spin models and non-universal quantum computers for variational algorithms. Our proposal banks on the progress of superconducting quantum technology and on well-developed superconducting qubit circuitry. However, unlike quantum computing, coherent quantum annealers are in earlier stages of development and this project represents a ramp-up effort to develop the core technology -qubits, tuneable couplings, layouts, controls- and ideas for sustainable scalability. Consequent with this vision, AVaQus brings together excellent European research groups and small to medium-sized enterprises, under the common goal of developing an integrated, small-size and fully-functional quantum processor that demonstrates coherent quantum annealing with 5 qubits fully connected in a multi-coupler network. We will also develop comprehensive real-life optimization problems and simulations in quantum chemistry, spin models and finance that are solved by our small-scale quantum annealer, create methods for validation and certification, and provide a route towards achieving a quantum advantage in larger-scale devices.

Keywords: quantum annealing,superconducting qubits,quantum simulation
JIU-JITSU WITH MISINFORMATION IN THE AGE OF COVID: USING REFUTATION-BASED LEARNING TO ENHANCE VACCINE UPTAKE AND KNOWLEDGE AMONG HEALTHCARE PROFESSIONALS AND THE PUBLIC (JITSUVAX)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Preventing disease
Action type: Research and Innovation actions
Countries involved: Germany,Finland,France,United Kingdom,Portugal,United Kingdom
Call: Addressing low vaccine uptake (H2020-SC1-2020-Single-Stage-RTD, 2020)
Start date: 2021-04-01
End date: 2025-03-31
Duration (months): 48.0
Total project cost (EUR): 3118832.74
EU funding (EUR): 3118832.74
Participants: 6
Project status: SIGNED

Vaccine hesitancy—the delay or refusal of vaccination without medical indication—has been cited as a serious threat to global health by the World Health Organization (WHO), attributing it to misinformation on the internet. The WHO has also identified Health Care Professionals (HCPs) as the most trusted influencers of vaccination decisions. JITSUVAX leverages those insights to turn toxic misinformation into a potential asset based on two premises: 1. The best way to acquire knowledge and to combat misperceptions is by employing misinformation itself, either in weakened doses as a cognitive “vaccine”, or through thorough analysis of misinformation during “refutational learning”. 2. HCPs form the critical link between vaccination policies and vaccine uptake. The principal objective of JITSUVAX is to leverage misinformation about vaccinations into an opportunity by training HCPs through inoculation and refutational learning, thereby neutralizing misinformation among HCPs and enabling them to communicate more effectively with patients. JITSUVAX comprises 4 scientific work packages (WPs 1-4), plus one Management WP (WP0). WP1 will systematically measure HCP attitudes towards vaccinations across participating countries. WP2 will analyse argumentation by anti-vaccination activists to provide material for inoculation and refutational learning. WP2 will also develop novel tools that improve public resilience to misinformation and HCP’s knowledge and attitudes concerning vaccinations. WP3 will translate the findings from WP1 and WP2 into practice, by exploring several new tools, ranging from a new “empathic refutational interview” to interventions in the training of HCPs. WP4 focuses on impact and dissemination. WP4 will design and develop a guidance document for HCPs and public health bodies. Through the team’s contacts and previous collaborations with WHO and UNICEF, we will disseminate and leverage our new knowledge for global impact.

Keywords: covid 19,vaccine hesitancy,misinformation,health care professionals,increase vaccine uptake
OptImization of novel value CHains for fish and seafood by developing an integraTed sustainable approacH for improved qualitY, safety and waSte reduction (ICHTHYS)

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: Chemistry
Countries involved: Ireland,Italy,Spain,Ireland,Ireland,Ireland,Italy,Italy,Greece,Greece,Greece,Netherlands,Portugal
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2019, 2019)
Start date: 2020-01-01
End date: 2025-06-30
Duration (months): 66.0
Total project cost (EUR): 1007400.0
EU funding (EUR): 1007400.0
Participants: 19
Project status: SIGNED

ICHTHYS (OptImization of novel value CHains for fish and seafood by developing an integraTed sustainable approacH for improved qualitY, safety and waSte reduction) will optimize novel value-chains for fish and seafood products for the EU and international markets. It will develop an integrated sustainable approach to improve quality and safety, while reducing product loss in the whole supply chain. ICHTHYS is intersectorial and focuses on two essential parts of the value chain, postharvest processing and packaging, integrating novel modern techniques and molecular biology tools in the evaluation of the quality and safety of fish and shellfish, including their allergenic capacity. The proposal has 13 consortium members from 6 countries that have complementary expertise in food, aquaculture and postharvest processing. New nonthermal processing methods such as high pressure, pulsed electric fields and high-intensity pulsed light will be studied together with active and intelligent packaging and smart labels (Time Temperature Integrators) and biosensors for monitoring safety and shelf life enriched with novel data from "omics" analysis. The implementation of ICHTHYS will offer the industrial partners the opportunity to translate scientific research into well-defined knowledge-based end products and analytical tools. In addition, to the scientific objectives ICHTHYS will provide a platform for efficient dissemination and transfer of knowledge and technology through training and research with complementary measures to engage other stakeholders including citizens. Overall, ICHTHYS aspires to provide cross-cutting intersectorial and interdisciplinary knowledge exchange and training for academics and commercial partners to improve their employability and career prospects. The project will contribute to the knowledge-based economy and society and boost regional and European competitiveness and growth, food exports and job creation.

Keywords: seafood,fish,quality,shelf life,safety,allergenicity,molecular methods,omics,nonthermal processing,traceability,intelligent packaging,biosensors,smart labels,modelling,reaction kinetics
Design and development of exosomes with brush type architecture as RNA delivery vectors for active targeting of blood brain barrier (BBB) (ExoBBB)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Portugal
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-05-01
End date: 2024-04-30
Duration (months): 24.0
Total project cost (EUR): 159815.04
EU funding (EUR): 159815.04
Participants: 1
Project status: SIGNED

MicroRNAs (miRs) are identified as significant regulators in modulating brain functions in central nervous system (CNS) disorders like Alzheimer’s disease (AD), Huntington’s and Parkinson’s disease (PD) and amyotropic lateral sclerosis. Sustained delivery of miRNAs to brain could be an excellent strategy to regulate gene expressions affected in the progressive neurodegenerative diseases. Highly biocompatible nanocarriers like extracellular vesicles (eg: exosomes) are an excellent choice as delivery vehicles for miRs but their short half life in systemic circulation and difficulty in crossing BBB limits the application. ExoBBB proposes to use high density polymer brushes to maximise RNA capture and stability, confer biofunctionality, stealth behaviour and active targeting to CNS. Density and chemical composition of these polymer brushes can be tuned precisely to attain optimum physicochemical features necessary for active targeting of BBB. Grafting of polymer brushes over exosomes can impart a star shaped architecture which in turn has been proven effective for neuronal targeting. In addition, these brushes can offer abundant surface functionalities for the conjugation of active targeting ligands. Dual targeting ability of the polymer brush chains will be evaluated by surface modification with peptides which can actively target BBB and neurons. The aim of ExoBBB is to design highly stable and efficient cationic polymer brush-based RNA delivery vectors that can be grafted on safe and biocompatible nanoparticles like exosomes for brain targeting and regulation of neuronal cell phenotype for prolonged periods of time.

Keywords: exosomes,polymer chemistry,blood brain barrier,mirna therapy,neuronal disorders