Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
An equipment for responsive adsorption assessment of dynamic adsorbents in liquid phase (DYNALIP)

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: Germany
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-07-01
End date: 2026-06-30
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Liquid phase adsorption technology is crucial in industrial sectors focused on the separation, purification, or extraction of liquids or dissolved species such as petrochemical, water treatment, and pharmacologic industries. However, the characterization of the adsorption capacity of sorbents towards adsorptives in the liquid phase is still complex. Commonly used procedures for liquid phase adsorption characterization are tedious, time consuming, and manually done. This is mainly due to the lack of standardized procedures and the absence of specialized instrumentation to automatize the measurements. Thus, the transfer of liquid phase adsorption methods to a wider market of laboratory instrumentation has significant market potential for SMEs and promotes materials discovery in industry. Dynamic (flexible) porous materials such as metal-organic frameworks are already recognized as highly selective adsorbents suitable to revolutionize separation technologies. In order to completely unlock the potential of dynamic porous sorbents, industrial R&D Departments, research institutes, and academic institutions require advanced instrumentation for assessing the liquid phase adsorption capacity of dynamic porous materials. DYNALIP aims to develop a novel advanced on-line liquid phase adsorption technology to perform quantitative and exact liquid phase adsorption measurements. The successful project completion will allow the commercialization of an advanced device for laboratory use to promote the discovery and analysis of novel porous materials for highly selective liquid phase separation applications.
SUNER-C: SUNERGY Community and eco-system for accelerating the development of solar fuels and chemicals. (SUNER-C)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Coordination and support actions
Countries involved: Netherlands,France,Belgium,Poland,Spain,Germany,Finland,Czechia,Sweden,Italy,Greece,Romania
Call: Creation of an innovation community for solar fuels and chemicals (CSA) (HORIZON-CL4-2021-RESILIENCE-01, 2021)
Start date: 2022-06-01
End date: 2025-05-31
Duration (months): 36.0
Total project cost (EUR): 4026403.75
EU funding (EUR): 3997646.0
Participants: 32
Project status: SIGNED

SUNER-C CSA overarching objective is to aggregate fragmented knowledge and develop the framework conditions to overcome scientific, technological, organizational and socioeconomic challenges to accelerate innovation and enable the transition of technologies for solar fuels and chemicals from laboratory and demonstrator level to large-scale industrial and broad societal application. Through a holistic approach, SUNER-C will contribute to circular economy by replacing fossil-derived fuels and chemicals by renewables and carbon recycling as key element towards the EU net-zero emissions target by 2050. SUNER-C will build upon the work of SUNERGY, a pan-European initiative on fossil-free fuels and chemicals from renewable power and solar energy, with to date over 300 supporting organisations across and beyond Europe. SUNER-C specific outcomes during the CSA will be to: develop an inclusive pan-European innovation community and eco-system on solar fuels and chemicals with global outreach, linked to political and societal needs, gathering stakeholders from different fields, sectors and disciplines around a shared vision, and coordinating with existing initiatives to ensure complementarity; develop a roadmap and a blueprint to implement it, as main drivers to identify and tackle long-term research and innovation challenges to de-fossilize society with solar fuels and chemicals; prepare the foundations for a large-scale research and innovation initiative (LSRI), ready to be launched at the end of the CSA, through an instrument to be agreed upon with the European Commission and the Member States. The LSRI will continue developing the eco-system and supporting the implementation of the roadmap, speeding up industrial and societal uptake of technologies for solar fuels and chemicals in the EU and contributing to wider, longer-term impacts, including those on “Increased autonomy in key strategic value chains for resilient industry” outlined in the Horizon Europe Work Programme.

Keywords: renewable energy,sustainable chemistry,circular economy,climate neutrality,catalysis,artificial photosynthesis,ccu,scale up,digitalization,innovation ecosystem,industrial resilience
Econometric Machine Learning for better Heterogeneity Representation (Econ-ML)

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: Economic Sciences
Countries involved: Denmark,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 214934.4
EU funding (EUR): 214934.4
Participants: 2
Project status: CLOSED

Modeling behavioral patterns of commuters and their decision-making process is crucial to develop sustainable and effective transport policies, predict and forecast the travel mode choices of a certain population with respect to changes in some attributes or components of the transportation system, and determine the different sources of heterogeneity in tastes and preferences. Econ-ML is about developing hybrid frameworks that combine several machine learning techniques with econometric discrete choice models to better account for different aspects of unobserved heterogeneity within a population such as systematic and random taste variations in addition to market segmentation. The proposed models would abide by McFadden’s vision of an appropriate econometric choice model in order to maintain the behavioral interpretability while improving the prediction and forecasting capabilities. Moreover, this project will focus on estimating the proposed models using Bayesian Variational Inference (VI) techniques and on providing solutions to overcome the corresponding limitations of such methods. In addition, a comparison of traditional estimation techniques such as Maximum Simulated Likelihood Estimation (MSLE) and Expectation-Maximization (EM) with Bayesian Variational Inference techniques will be conducted, with the aim of providing recommendations on when each estimation method should be used. The ultimate goal is to apply the proposed framework to real-world case studies (e.g., shared mobility, biking behavior in Copenhagen, adoption of electric vehicles, etc.) and provide the authorities and operators with forecasts and recommendations for new policies that might mitigate the negative impacts of the transportation system.

Keywords: demand modeling econometric models discrete choice models machine learning variational inference heterogeneity
Activation and switch of fates in T lymphocytes. (ActSwiftly)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Immunity, Infection and I mmunotherapy
Panel description: The immune system , related disorders  and their mechanisms , biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases , innovative imm unological tools and approaches , including  therapies
Countries involved: Czechia
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2625000.0
EU funding (EUR): 2625000.0
Participants: 1
Project status: SIGNED

Antigen-stimulated naïve CD8+ T cells proliferate and differentiate into effector and memory cells. Whereas effector T cells remove infected or cancerous cells, memory T cells protect the organism from re-infections. Despite decades of research, the challenging central questions of how naïve T cells form diverse progeny and what drives the differential response of naïve and memory T cells to infection remain unanswered, largely because of lacking experimental tools. The goal of this project is to generate a comprehensive model of cell-fate choices of naïve and memory CD8+ T cells in vivo. We will achieve this by addressing three complementary specific objectives: 1) To understand the early and late fate choices in naïve T cells. 2) To uncover differences between naïve and memory T-cell responses and fates. 3) To identify the role of proximal protein kinases LCK and FYN in T-cell fate choices. We will pursue these aims using a combination of experimental immunology and systems biology. We used the synergy between novel genetic models and single cell atlases (i) to characterize an unprecedented transient stage of activated T cells, (ii) to determine the early gene expression signatures and fate choices of in vivo activated naïve and memory T cells, and (iii) to observe that LCK secures memory T-cell formation. These tools and findings offer us novel perspectives to tackle the challenging objective in its full complexity. We will develop additional unique experimental models coupled with innovative in-silico techniques to uncover the cellular and molecular mechanisms underlying diverse fate choices of particular T-cell subsets and to narrow the gap between mouse and human immunology. Overall, this project has the ambition to resolve long-standing fundamental questions in immunology to open new avenues for targeting and modulating T-cell fates in vivo for efficient vaccine design and for promoting beneficial cytotoxic responses to chronic infections and cancer.

Keywords: t cells,fate choices,cytotoxic t cells,lck,signaling,differentiation,mouse models,experimental immunology,omics
Mapping the Universe with Gravitational Waves (GWSKY)

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: Physics
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 209483.28
EU funding (EUR): 209483.28
Participants: 1
Project status: SIGNED

While scientists observed the night sky with telescopes for centuries, only in the past decade have we began to probe it with gravitational waves (GWs). Next-generation GW observatories, if properly exploited in synergy with current and future galaxy surveys, have the potential of mapping the structure of the Universe in a fully independent and complementary fashion with respect to what has been done so far. In particular, by studying GW propagation across cosmological distances and GW sources spatial distribution, we can shed light on dark matter and dark energy properties, and also on what the correct theory of gravity is. Even if numerous studies have already investigated the theoretical feasibility of this kind of analysis under relatively simplistic assumptions, none of them have ever provided a framework that demonstrates how this goal is, in fact, achieved. The purpose of this project is to bridge the gap between the current idealised analysis and an actual realistic implementation, ultimately capable of informing us about the underlying properties of these GW sources and our Universe. In other words, I aim to provide an end-to-end framework that fully characterizes how GWs can be used to trace the three-dimensional large scale structure of the Universe. This project is divided into three main stages. First, I will provide a robust methodology to create realistic mock catalogs of GW sources spatial distribution for different classes of compact objects. Second, I will develop a statistical procedure to create optimal GW sky maps both from detected and undetected GW events, aiming to minimize the amount of statistical and systematic noise. Finally, I will forecast the capability of future GW experiments in synergy with galaxy surveys to characterize different populations of compact objects. Completing this program will allow me to not only shape the design of future experiments, but also to provide a starting point for real-data analyses.

Keywords: cosmology,gravitational waves,compact objects physics,large scale structure
An Ontology for the Transmission and Re-Use of Argumentative Patterns (OTRA) in Christian-Muslim Religious Encounters (OTRA)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: CLOSED

In this project, I will study argumentative structures in Christian anti-Islamic polemics from a historical perspective using a Digital Humanities approach. By investigating these argumentative patterns, I want to find out how this discourse developed over time. Are we confronted with a stable set of arguments, stereotypes, and references that structured the Christian discourse about Islam from the Middle Ages? Or did the increased availability of empirical sources and the increased contact from the 17th century lead to new forms of argumentative interactions? In order to answer these questions in a data-driven, comparative way, I will create an ontology that allows to record and classify references, borrowings, and structure of arguments in a standardized form. I will apply this scheme to a selected number of texts from the Christian tradition from the 13th to the 19th century, creating a knowledge base. I will use this knowledge base to answer selected research questions regarding the evolution of argumentative patterns. To disseminate this approach, I will develop and conduct a workshop format in which I will introduce students and other researchers to work with ontologies in general, my ontology, and my knowledge base. My approach will yield insights historical development of argumentative structures, but it will also allow to easily share data among researchers, to collaborate more effectively, and to base conclusions on larger datasets. It will provide a paradigm for describing historical argumentative structures that can be generalized and applied to many other fields of research. Pursuing this project will allow me to evolve into a Digital Humanities researcher, to pioneer my own research, to greatly expand my research network, and to gain a wider perspective on Christian-Muslim religious engagement.

Keywords: digital humanities interreligious studies theology christianity islam bible qur an
Targeting cancer with multi-engineered selenium nanoparticles (SeNPs): Development of a biocompatible nanocomposite for targeted gene therapy in BRAF-mutated resistant melanoma. (SUNSET)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-06-01
End date: 2025-05-31
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: CLOSED

Nanotechnology has grown at an exponential rate in the last decade, finding a large application in the biomedical field. Nanoparticles are emerging as effective drug delivery tools, since they overcome most limitations of free therapeutics - while offering a series of physical/chemical advantages. Among engineered nanomaterials, selenium nanoparticles (SeNPs) have shown a growing potential as a therapeutic platform since they offer both the properties of selenium (Se) and the ones of a nanoscale system. SUNSET project aims is to design and develop a hydrogel-based nanocomposite containing multi-functionalised SeNPs, to use as an effective nanoplatform for cancer gene therapy. The designed system will be evaluated in resistant melanoma, specifically BRAF mutated lesions, which represent 66% of the cancer cases and are those that show resistance to currently available therapies, causing most cancer deaths. Here, the synthesis of SeNPs is followed by surface functionalisation with a specific small interfering RNA (siRNA) and their embedding in the polymeric phase. All the materials will be synthesised through green chemistry routes, to guarantee a low environmental impact of the procedure and its scalability and reproducibility. The anticancer activity of the nanocomposite will be evaluated both in vitro and in vivo. Overall, the combination of RNAi technology, nanomedicine and biocompatible materials – selenium and natural hydrogels – will be useful to gain a more efficient therapy, overcoming the main current challenges in the care of resistant melanomas. Moreover, the simplicity of the fabrication and the possibility to scale up the procedure, make the proposed system possibly attractive for clinical applications, promoting European Scientific Excellence. Lastly, I will have the possibility to start new cross-disciplinary collaborations that will pave the way for my future research career.

Keywords: selenium nanoparticles,nanomedicine,melanoma,targeted gene therapy,braf mutation,rna interference
Cardiovascular disease, energy dysregulation, and the role of depression and the social cure. (CEDAR)

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,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-05-03
End date: 2026-05-02
Duration (months): 36.0
Total project cost (EUR): 302331.36
EU funding (EUR): 302331.36
Participants: 2
Project status: CLOSED

Depression affects over 300 million people world-wide and is the single largest contributor to global disability, according to the World Health Organisation (WHO). Research has highlighted that individuals with depression have a two-to-four fold increased risk of developing cardiovascular disease (CVD). Notably, CVDs are the most common cause of death globally and are a huge economic burden to society. For example, in 2015 alone CVDs cost the EU over €210 billion (WHO). However, the mechanisms linking depression with increased risk of CVD are poorly understood, posing a challenge to the development of appropriate interventions to reduce this risk. CEDAR aims to elucidate the potential biological mechanisms linking depression with increased risk of CVD by adopting state-of-the-art techniques from exercise physiology and clinical psychology. Specifically, this interdisciplinary and timely project will be the first to examine the relationship between depression and energy dysregulation during stress, and will consider the role of gender and depression severity. CEDAR will also test an intervention for reducing the risk of CVD in individuals with depression. Applying knowledge from the social identity approach to health, a social cure intervention will be employed to examine if this has an influence on (i) physiological responses to stress, and (ii) if this influences stress responsivity in individuals with depression. The results of this project will not only elucidate the relationship between depression and CVD risk, but the advanced research skills learnt during this fellowship can be applied to future projects examining the link between stress responsivity and pathogenic disease risk; advancing methods in stress physiology research. The experiences garnered by this fellowship, including targeted training in communication, leadership, and project management skills, are key in developing the professional maturity and employability of the applicant.

Keywords: depression stress cardiovascular reactivity stress responsivity social cure social identity approach to health energy regulation appraisal psychological well being social group memberships
Kinetic Investigation of Simulated Magnetosheath Electron Trajectories and Spacecraft Potential Accumulation RisK (KISMET-SPARK)

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: Physics
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

Satellites in space are subjected to charged particles in the ambient environment. Specifically, the fast-moving electrons of the space plasma can rapidly accumulate on satellite surfaces. These surfaces may then suddenly discharge in electrical arcs that damage the onboard electronics, which may even result in total loss of the spacecraft. The project KISMET-SPARK will be the first dedicated study of surface charging during rare but impactful events known as "Geosynchronous Magnetopause Crossings" (GMCs). During a GMC, the solar wind compresses the Earth's magnetic field. This ends up placing satellites in Geosynchronous Earth Orbit (GEO) within a region known as the magnetosheath, where the ambient electron fluxes and resulting surface charging can be intense. In KISMET-SPARK, the Applicant Konstantinos Horaites will address the kinetic physics of electrons in Earth's magnetosheath and their space weather impacts. In two Work Packages, he will 1) describe the processes that shape the energized "flat-top" electron velocity distribution (eVDF), and 2) evaluate how these electrons contribute to the costly GEO satellite failures that are correlated with GMCs. The project will be supervised by Daniel Verscharen, who is an Associate Professor at the Host institution, the University of College London's Mullard Space Science Laboratory. The Applicant will simulate the magnetosheath environment using state-of-the-art kinetic "eVlasiator" simulations of Earth's magnetosheath. He will employ the Supervisor's "ALPS" code to assess the kinetic stability of the eVDF, which will explain the origin of the flat-top population. This project will combine the Applicant's experience with simulations together with the Supervisor's knowledge of space-plasma instabilities, to answer long-standing questions about the magnetosheath eVDF's origins and impacts. The project results will be communicated to the scientific community, industry stakeholders, and the general public.

Keywords: space plasma,kinetic simulations,instabilities,high performance computing,geosynchronous satellite failures,satellite surface charging,earth s magnetosheath,electrons,bow shock