Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Best-Estimate Projections of Future Compound Extreme Heat, its Impacts and Driving Mechanisms (TrueHeat)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: France,Switzerland
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 308746.56
EU funding (EUR): 308746.56
Participants: 2
Project status: TERMINATED

In a warming world, extreme heat will become more likely, and more extreme. Extreme heat can lead to devastating socioeconomic and ecological impacts, especially when peak maximum temperatures occur together with other compounding stressors, such as high ambient humidity, lack of nighttime cooling, or persistent drought. When unprecedented record-shattering compound heat extremes occur, it raises the question of whether current climate models are able to sufficiently capture the risk and intensity of such unlikely but devastating extremes under present, and especially future climate conditions. Are climate model projections downplaying the risk and intensity of current and future heat due to missing or incorrect process representation? Can climate models sufficiently sample the most unlikely and extreme albeit still plausible events? And how would such utterly unlikely extreme compound heat develop? Which intensity, persistence, or compounding could it reach? These are the questions I will answer in TrueHeat, and by doing so I will produce the best-informed knowledge of the unlikely but plausible heat that we may come to experience in the near-term future, and how single instances of extreme heat can turn into their most devastating and unprecedented version. To do this, I will first exploit the vast amount of existing large ensembles from different climate models that allows me to curate best-estimate future heat and heat-impact projections using superior evaluation and performance-weighting frameworks. Then I will use climate prediction ensembles to assess where chance brings the largest heat intensification, while determining why forecasted black swan heat extremes did not occur, or occurred in a less extreme form in reality. Lastly, I will generate novel targeted boosted large ensembles to quantify the role that chance plays in the intensification of extreme heat, and to fully sample the most unlikely but physically plausible worst-case heat storyline.

Keywords: extreme compound heat,internal variability,climate model simulations and projections
Dependency of future climate projections on South Atlantic heat and salt transport modulated by interocean exchanges (CLIMSATE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-01
End date: 2025-12-31
Duration (months): 24.0
Total project cost (EUR): 203464.32
EU funding (EUR): 203464.32
Participants: 1
Project status: CLOSED

The Atlantic Meridional Overturning Circulation (AMOC) is a complex system of upper and deep ocean currents that redistributes heat between the Southern and Northern Hemisphere. Changes in the AMOC modulate European and global climate, and represent a key uncertainty for future climate projections. Over the last decades, climate scientists have related changes in the AMOC mainly to oceanic changes in the Northern Hemisphere, though there is increasing evidence for additional Southern Hemisphere origins. Conceptual studies with numerical ocean models and paleoclimate records suggest that changes in the South Atlantic heat and salt transport due to altered exchange processes with the Indian and Pacific Ocean can impact the strength and stability of the AMOC. However, it is unclear how these processes are represented in current climate models. The overall goal of CLIMSATE is to unravel how future climate projections depend on the simulated heat and salt transports in the South Atlantic, with a focus on the role of interocean exchange processes. To achieve this, I will develop an advanced framework for analyzing the simulated South Atlantic heat and salt transports based on virtual particle tracking methods, and then apply it to a representative ensemble of state-of-the-art climate models. I will elucidate the processes that determine the mean heat and salt transport in the South Atlantic and their changes under anthropogenic climate change, and how the heat and salt transport changes in the South Atlantic are linked to the strength of AMOC. The project results will improve future climate assessments and hence directly contribute to the ‘Adaptation to climate change’ mission of Horizon Europe. The training activities (e.g., in software development) and targeted career development measures will allow me to consolidate my research profile and skill set in view of my ambition to become an independent and impactful research leader.

Keywords: climate modelling,anthropogenic climate change,oceanic overturning circulation,lagrangian analysis,agulhas leakage,cold water route,warm water route
Therapeutic Artificial Cells based on Molecular Cages for Glioblastoma Treatment (TherACCage)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: CLOSED

Cancer is still a major societal challenge, as reflected by the Horizon's Europe mission on cancer and the Europe's Beating Cancer Plan. In particular, despite great advances in cancer treatment in recent decades, glioblastoma multiform (GBM) - the most common malignant brain tumor - stills remains without an effective cure and patients die in a few months. Around 220000 people die annually worldwide from GBM and its incidence is expected to increase in Europe due to its aging population. The standard treatment relies on the systemic administration of chemotherapeutics, which has limited efficacy and causes side effects. To overcome current limitations, TherACCage will develop artificial cells based on drug-loaded molecular cages as advanced nanosystems to tackle GBM. Such artificial cells will be equipped with processing machinery resulting in advanced biocompatible nanosystems with the ability to recognize biomarkers of the GBM microenvironment and induce responsive drug delivery in situ. The project combines unique expertise of the main host lab (molecular cages: cage-like molecular architectures with an internal cavity), the candidate (nanotechnology and artificial cells) and a secondary lab (evaluation of novel anticancer therapies) to ensure fulfillment of objectives. In a first stage, the fellow will be trained in advanced organic chemistry for the synthesis of degradable drug-loaded molecular cages. In a second stage, the assembly of artificial cells with molecular cages and their in vitro evaluation will be carried out. Finally, the fellow will carry out a secondment in a biological lab for the pre-clinical evaluation of the developed nanosystems. Importantly, the project will also allow the fellow to gain experience in patenting and tech transfer. Altogether, TheACCage will develop a new therapeutic technology and provide the fellow with complementary scientific and transferable skills with a significant impact toward an independent research career.

Keywords: molecular cages,liposomes,artificial cells,nanosystems,nanomedicine,anti tumour effect,glioblastoma
High-order geometric derivatives with multilevel coupled cluster theory (HOOD)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Norway
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 251578.56
EU funding (EUR): 251578.56
Participants: 1
Project status: SIGNED

Spectroscopy involving molecular vibrations is an important class of experimental techniques, and accurate simulation tools based on computational quantum chemistry can greatly enhance our understanding and interpretation of the observed phenomena in these experiments. The most accurate quantum chemical methods are, however, very computationally expensive when applied to a full molecular system. Multilevel methods represent a promising approach for applying such accurate quantum chemical theory to calculate molecular properties for larger systems at a significantly reduced cost by concentrating the high-accuracy description to a limited part of the molecule. The goal of HOOD is to develop an efficient computational tool with multilevel capability for properties associated with molecular vibrations with coupled cluster as the underlying quantum chemical method. A novel tool will be applied for the derivation of so-called geometric derivatives which are fundamental in the evaluation of these vibrational properties. State-of-the-art software will provide the performance-optimized basic multilevel coupled cluster functionality upon which the HOOD feature can be built. Thanks to these tools, the complexity of the derivation and implementation processes – which constitute the core of this proposal – is significantly reduced, putting the goal within reach. The successful completion of HOOD will provide the scientific community with a state-of-the-art tool, uniquely facilitating high-accuracy studies of advanced vibrational spectroscopies and significantly expanding the range of systems for which these kind of studies can be undertaken.

Keywords: vibrational spectroscopy,response theory,coupled cluster,geometric derivatives,multilevel approaches
Self-imposed restrictions: understanding why politicians adopt anticorruption policies (SIR)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Ireland,Hungary
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 215534.4
EU funding (EUR): 215534.4
Participants: 2
Project status: SIGNED

Corruption is a pressing global challenge, which imposes substantial costs on the lives of people and businesses, and undermines citizens’ trust in democratic institutions. Anticorruption reforms and political ethics regulation have also grown dramatically in European countries, but display varying degrees of success. While scandals, policy diffusion and political will have been advanced as explanations for the success or failure of anticorruption policies, it not yet understood under which specific conditions politicians will adopt anticorruption policies (ACPs) aimed at changing their own status quo and conduct. If we don’t know the answer to this question, then anti-corruption efforts are doomed to failure. Unlike previous studies that focused on the implementation of broad anticorruption reforms in the public sector or on the behaviour of participants acting out the part of policymakers in controlled laboratory experiments, the novelty of the SIR project is that it will investigate the specific conditions that surrounded the adoption of each anticorruption law aimed at political officials, namely party funding, conflict of interest and lobbying. The focus on policies will allow the research to go beyond simple national variations and grasp the conditions under which the policies were adopted in any given time. This research will be divided into two phases: i) the creation of an original database with the contextual conditions surrounding the adoption of ACPs and the adoption of GRECO recommendations in EU countries; ii) quantitative and qualitative comparative analysis of the contextual conditions surrounding the adoption of each specific ACPs dedicated to political office holders.

Keywords: corruption anticorruption qca public policy elites comparative politics politics
Empowering Africa's Point of Care with Cutting-edge Graphene Biosensing for Rapid Detection and Interconnected Surveillance of Novel Ebola Virus Outbreaks. (EPoCA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Research and Innovation actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: Spain,Italy,Estonia,Ghana,Congo, The Democratic Republic of the
Call: Research to rapidly evaluate interventions on Ebola outbreaks in sub-Saharan Africa (HORIZON-JU-GH-EDCTP3-2023-01, 2023)
Start date: 2024-07-01
End date: 2027-06-30
Duration (months): 36.0
Total project cost (EUR): 2926130.0
EU funding (EUR): 2920255.0
Participants: 8
Project status: SIGNED

This project proposes developing, preclinical and clinical validation of a Point of Care (PoC) biosensing platform based on multiplexed field-effect sensor technology based on graphene monolayers functionalized with specific and oriented recognizing biomolecules (BioGFET). This technology will be used for the rapid and remote diagnosis of Ebola infection by titrating specific biomarkers in peripheral blood samples. To strengthen the diagnostic ability and offer a robust differential triage of patients, serological biomarkers specific for the virus and biomarkers specific for infection severity will be analyzed and compared simultaneously (Figure). Therefore, the final correlation between the achieved parameters will offer a robust and rapid triage of patients, thus, permitting to identify rapidly at the point-of-care potential Ebola outbreaks and offering to physicians a more precise overview of the patient status before knowing the confirming laboratory results. Besides the proposed technology, another key point of this device is represented by its IA-based cloud networking. In fact, once processed and retrieved, the locally achieved diagnostic results will be transmitted to a central server (for example, located in a General Hospital), processed by a custom-made IA software, and, in case of necessity, a health warning will be sent to all the interconnected platforms, independently to their location.

Keywords: diagnostics,graphene,biosensors,sentinel ai,internet of things
Thermostable vaccines to enable global immunization (GLOBEVAC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Finland
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2022-09-01
End date: 2024-02-29
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

With GLOBEVAC we present a novel solution to make vaccines thermostable, enabling global immunization by avoiding the need for cold chain logistics. Vaccines are one of the most successful public health interventions to reduce the morbidity and mortality of infectious diseases. To ensure the safety and effectiveness of a vaccine, the production and distribution of almost all vaccines require what is called a ‘cold chain’, where the vaccine is continuously kept below certain threshold temperatures, sometimes as low as – 80°C. The need for such a cold chain inhibits cost-efficient and rapid distribution of vaccines and significantly reduces immunization in low resource settings. Our GLOBEVAC approach consists of storing the vaccines in a novel formulation making them thermostable for weeks when kept at temperatures as high as 40°C. Preliminary in vitro data has shown that our GLOBEVAC solution can be applied for several classes of vaccines: GLOBEVAC formulated adenovirus-based vaccines and vaccines based on enveloped viruses, that were stored at 40°C, were as active and functional as the fresh ones kept at -80°C. In this ERC PoC we will technically validate our novel formulation for different classes of vaccines. Next to that, we will explore the commercial potential of GLOBEVAC by developing an intellectual property strategy and performing an extensive market analysis that will finally lead to the development of a tailored business strategy.
Using genomics to understand how freshwater fishes turned a lethal environment into an ideal habitat (BrackAdapt)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Sweden
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: SIGNED

Ongoing climate change leads to rising sea levels and changes in local precipitation volume and regularity which will reshape estuarine ecosystems across Earth. As current climate change dramatically alters estuarine ecosystems, fish populations must adapt to the novel environment, or they will go extinct. Understanding how past environmental changes led to genomic adaptations is the key to predicting the adaptive potential of fishes facing ongoing climate change and could be the difference between protecting and losing locally adapted biodiversity. Perch (Perca fluviatilis) and pike (Esox lucius) are two freshwater fish species inhabiting freshwater ecosystems across the northern hemisphere. Nevertheless, in the Baltic Sea, which is the world’s largest estuary, each species have developed brackish water ecotypes capable of thriving at salinities exceeding their internal salinity. This requires fundamentally different cellular functions and is lethal to non-adapted freshwater individuals. However, their evolutionary histories and functional genomic adaptations are unknown. Through deep sequencing of brackish water and freshwater ecotypes of perch and pike, Project BrackAdapt aims to identify the demographic and evolutionary history of each species. The project will identify genomic regions under selection for salinity tolerance and investigate whether genomic adaptations to environmental changes are parallel in function, time and space within and between species. The training and project management experience I will gain during the project will be a stepping-stone for my career to advance and make me an independent researcher.

Keywords: genomics,adaptation,brackish water,teleost,perch,pike,baltic sea
Data Discovery Platform with Generalized Exploratory, Management, and Search Capabilities (DataGEMS)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: EOSC ecosystem
Action type: Research and Innovation actions
Partnership: EOSC (co-programmed)
Countries involved: Greece,Italy,Portugal,France,Poland,Switzerland,Spain,Germany
Call: Innovative and customizable services for EOSC Exchange (HORIZON-INFRA-2024-EOSC-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 6688960.0
EU funding (EUR): 6688960.0
Participants: 15
Project status: SIGNED

DataGEMS is a data discovery platform with Generalized Exploratory, Management, and Search capabilities. DataGEMS is built on the principles of data FAIRness, openness and re-use. It aims to seamlessly integrate data sharing, discovery and analysis into a system that addresses the whole data lifecycle, i.e., sharing, storing, managing, discovering, analyzing and reusing (data and/or metadata), bridging the gap between the data provider and the data consumer. DataGEMS is a next-generation data discovery and management ecosystem that engulfs different types of data (structured, unstructured, real-time and historical) and enables users to (a) enrich data through powerful data profiling mechanisms (b) seamlessly discover and analyze data across and within datasets using user-intuitive discovery and analysis mechanisms, such as using natural language and patterns, and (c) effectively explore and combine data with the help of stepwise guidance mechanisms during dataset discovery and analysis. The effective and efficient functioning of these mechansims will be powered by a data and model management layer that decouples data management at the low level from the data analytics at the higher level. DataGEMS is informed by and will be initially tested and deployed to promote data FAIRness and benefit diverse user communities and types of users on core domains: education, meteorology, and language data infrastructures.

Keywords: open data,fair data,data discovery,artificial intelligence,eosc,meteorology,weather,education,life long learning,data language infrastructures