Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
European Holocaust Research Infrastructure (EHRI) Implementation Phase (EHRI-IP)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Coordination and support actions
Countries involved: Netherlands,Belgium,Czechia,Israel,Germany,Slovakia,United States,Ukraine,Poland,Croatia,United Kingdom,Romania,Austria
Call: Early phase implementation of ESFRI Projects which entered the ESFRI Roadmap in 2018 (HORIZON-INFRA-2023-DEV-01, 2023)
Start date: 2024-02-01
End date: 2026-01-31
Duration (months): 24.0
Total project cost (EUR): 1452727.15
EU funding (EUR): 1452727.15
Participants: 14
Project status: SIGNED

The vision of the European Holocaust Research Infrastructure (EHRI) is to secure seamless access to all sources and expertise from across Europe and beyond that are relevant to the study of the Holocaust. It approaches this vision through the development of a pan-European distributed Research Infrastructure that brings together the leading facilities and offers users integrated access to Holocaust resources, expertise and training. In 2018, EHRI was added to the ESFRI Roadmap, and is currently finalising a step-1 application to establish a new European Research Infrastructure Consortium (ERIC), supported by eleven countries. The EHRI-IP project will facilitate EHRI’s implementation phase and ensure a timely start of its operation as an ERIC. The EHRI-IP consortium consists of representatives from the emerging national nodes of the eleven countries that expressed support for establishing EHRI as an ERIC, as well as partners from Ukraine and the United States. This consortium will undertake a set of coordinated activities that will advance EHRI’s maturity and capabilities and remove any remaining roadblocks to its implementation and early operation. The project will achieve three overall objectives: (i) to implement EHRI by finalising the governance, establishing an operation-ready Central Hub and linked National Nodes, and turning existing high-level scientific, user and technological strategies into operational reality; (ii) to grow EHRI by acquiring new potential Member and Observer countries, negotiating cooperation agreements with international and strategic partners, and investigating the scope for a future expansion of EHRI with regards to the scientific domain covered, services offered and user communities served; (iii) to manage and valorise EHRI by coordinating between EHRI-IP and concurrent activities, and developing strategies that ensure that EHRI reaches its full potential with regards to innovation and social, economic and scientific impact.

Keywords: research infrastructures holocaust research and archives
Future Lives with Oceans and Waters (FLOW)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Ocean, seas and waters
Destination: Ocean, seas and waters
Action type: Research and Innovation actions
Countries involved: Netherlands,Germany,Norway,Belgium
Call: The relation of young generations with the sea and water: values, expectations, and engagement (HORIZON-MISS-2021-OCEAN-05, 2021)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 997940.0
EU funding (EUR): 997939.5
Participants: 4
Project status: CLOSED

Future Lives with Oceans and Waters (FLOW) will enable co-ownership, co-responsibility and co-implementation of the young generation to co-create effective, target-group oriented and actionable blueprints for stewardship assemblages featuring social interaction and engagement with sea and waters. In doing so, FLOW will contribute to the Restore our Oceans by 2030 Mission. The project's innovative design brings together diverse young people from all across Europe with an excellent, interdisciplinary research team. Our research is built along a chain of direct cooperation with young people via 1) the FLOW Youth advisory board, 2) the European network of youth-focused NGOs, 3) Experiential futures workshops with young people from seven regions across Europe and 4) Youth-stakeholder co-creation. FLOW will go beyond instrumental treatment of knowledge about the young generation 1) by a novel transdisciplinary research approach (‘inFLOW lens’) studying their expectations, engagements, and human-nature relationship with the seas and waters; 2) by bringing together policy-makers, researchers and other relevant stakeholders together with the youth and engaging them in co-creation of stewardship assemblages. Insights from FLOW will support shaping future policies. All stakeholders claim to represent the interests of young and future generations. FLOW develops a new approach of co-creating future policies that mitigates the risk of naively generalizing and amplifying statements of young people that are made amid, and despite of, vested interests and debates that are polarized between nature-connectedness, preservation and conservation on the one side and resource use, value creation and economic prosperity on the other side. To fully raise the potential that is embedded in FLOW's structure and generate scientifically-sound, un-biased and non-partisan insights, we base cooperation and co-creation with young people on scientific rigour, reflexivity and evidence assured.

Keywords: youth engagement and mobilization,transdisciplinary research,human nature relations,foresight,environmental psychology,sociology and philosophy,nature conservation management
Making sense of reference (SENSOR)

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: Spain,Germany
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-09-01
End date: 2027-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: SIGNED

The distinction between sense and reference has been foundational in the study of linguistic meaning since Frege’s classic On sense and reference (1892). More than a century later, the neural correlates of reference remain opaque. Meanwhile in computational psychiatry, a burgeoning field uses computational neural language models (NLMs) to predict psychosis from spontaneous speech. Clear behavioural evidence has emerged that patients with psychosis navigate the semantic space differently when retrieving words and building them into grammatical structures, causing shifts in patterns that are detectable through computational semantic similarity and probabilistic metrics. We propose the new concept that (i) grammar plays a specific role in mapping concepts onto referents so as to construct a cognitive map, which (ii) can be tracked in real time at a millisecond level, (iii) involves a cortical-hippocampal loop, and (iv) is a neural mechanism vulnerable in psychosis. Using MEG with optically pumped magnetometers (OPM), we will implement a naturalistic story comprehension paradigm in which the construction of reference through grammar will be tracked and regressed on computational semantic metrics. We aim to generate value through a novel sustainable, theoretically and computationally grounded framework for the study of language in psychosis, which will enable a transition to the larger goal of fully exploiting spontaneous speech as a rich and multidimensional data source for clinical practice.
Advanced Identification of Atmospheric Compounds (CLOUDMAP)

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: Germany
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): 202125.12
EU funding (EUR): 202125.12
Participants: 1
Project status: SIGNED

Global warming and air pollution are urgent challenges facing humanity. Atmospheric aerosol particles contribute to both by affecting air quality, cloud formation, and the absorption and reflection of sunlight. Increasingly, the atmosphere is shaped by organic rather than inorganic chemistry. While initiatives like the European Green Deal have reduced inorganic emissions, volatile organic compounds (VOCs) from biogenic and anthropogenic sources are on the rise. These VOCs react to form oxidized compounds that drive aerosol particle formation. Understanding the molecular processes leading to particle formation is crucial for tackling climate change and improving air quality, with accurate compound identification being a key component of this effort. However, atmospheric science currently lacks the tools and infrastructure to identify most compounds in aerosol samples collected in field campaigns. The main challenge is the absence of reference standards for atmospheric compounds in mass spectral (MS) libraries, which are needed to match unknown spectra with known references. Experimentally creating such a library is difficult due to the lack of reference samples and the large number and reactive nature of atmospheric compounds. Through CLOUDMAP, I will address these challenges by creating an MS library using computational methods. I will develop a comprehensive dataset of mass spectra of pure atmospheric compounds via simulations, alongside a machine learning tool for enhanced compound identification. This tool will be used to identify unknown compounds from aerosol samples collected during field campaigns. By integrating quantum chemical MS simulations, machine learning, and atmospheric science, CLOUDMAP will advance the digitization of atmospheric chemistry, improve the understanding of aerosol formation, and contribute to both climate change mitigation and improved air quality.

Keywords: machine learning compound identification mass spectral library fragmentation mass spectrometry mass spectrometry simulations semi empirical quantum chemistry oxidized organic compounds
Quantifying Islamic Law in the Modern State: Shari'a in Moroccan Courts, 1912-2012 (QuantISLAMS)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: CLOSED

This MSCA-PF-EF project proposal investigates the role of shari'a (Islamic law) in the contemporary national legal systems. Focusing on the case of Morocco from 1913-2012, I combine digital humanities methods with qualitative text analysis to trace the conceptual and functional development of shari'a. I hypothesize that shari'a's practical function is best understood through court cases rather than classical prescriptions or state legislation of it alone. Using approximately 1400 shari'a appeals court records collected during my doctoral fieldwork, I will construct a multi-variable shari'a court database. The database will be a first-of-its-kind data record of case variables including appellate decisions, evidence types, geography, and source material citation. With this database and the conclusions I derive from it, I will embark on a series of publication, scholarly collaboration, and public outreach efforts on shari'a's contemporary role in the world. The publications include three scholarly articles, a collected volume on Islam and colonialism based on a conference that I organize, and a book proposal based on this research. Public outreach efforts include a public lecture series on colonial Islamic legal practice, syllabi on "Understanding Colonialism" and "Understanding Contemporary Islam" for high school students, and an online presence sharing results and analysis. Finally, the database will be published open access online at the end of the fellowship both to aide researchers or stakeholders and to propose a model for assessing shari'a courts worldwide. As many state governments, NGOs, and legal scholars continue debating shari'a's role in the twenty-first century, my project will present a strong historically grounded paradigm of shari'a's contemporary function in state courts.

Keywords: islamic law,legal history,north africa,morocco,digital humanities
AnalysinG of fossil-ENergy dependence in agriculture to increase RESilience against input price fluctuations (AgEnRes)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Land, ocean and water for climate action
Action type: Research and Innovation actions
Countries involved: Netherlands,Greece,Hungary,Germany,Austria,France,Poland,Sweden,Italy,Switzerland
Call: Analysing fossil-energy dependence in agriculture to increase resilience against input price fluctuations (HORIZON-CL6-2023-CLIMATE-01, 2023)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 5132042.62
EU funding (EUR): 4841203.33
Participants: 13
Project status: SIGNED

The recent variations in the price of fossil fuels and mineral fertilisers in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine threaten the incomes of primary producers and affordability of food for consumers. This threat will remain, as the pathway towards fossil fuel independence and related investments in less fossil-fuel-intensive technologies in the EU agricultural sector will take time. All this shows that there is an urgent need to design realistic, sustainable pathways for supporting the energy transition of the European agricultural sector and improving the income of primary producers. AgEnRes designs sustainable pathways for policy making to reduce direct and indirect dependence of farmers and the agricultural sector as a whole on fossil fuels and fertilisers, and increase the resilience to volatile energy prices, taking into account farmers’ behaviour and the synergies and trade-offs between European economic and environmental objectives at micro- and macro-level. Our approach consists of three components supported by outreach activities, which involve stakeholders and the general public throughout the project's lifespan. The first component develops a conceptual and data framework to identify policy targets and measures, promising technologies, and data and model requirements. Component one results among others in an EU wide database on energy use and mitigation potentials at different scales. The second component focuses on evidence of the past and present energy dependence of the European agricultural sector and preferred solutions. The third component builds on the first two and incorporates them into a set of foresight models at farm, regional, and market levels to evaluate the impacts of innovations and policy measures and targets at different scales. Ultimately, AgEnRes develops an innovative toolbox that will decrease the energy dependence and strengthen the resilience of the European agricultural sector.

Keywords: fertiliser
Toward Desirable Metal Organic Framework Mixed Matrix Materials through Machine learning-guided Interface Design (M4MID)

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: 2023-06-01
End date: 2025-05-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: CLOSED

Metal Organic Framework Mixed Matrix Materials (M4s) are prototyped for many applications such as separating membranes, drug delivery systems and fire-safe plastics. Like all composites, the premise of M4s is to achieve greater properties than those of their isolated components. Yet, the interface between the components determines whether the synergy between the components is achieved or the overall performance is diminished due to their incompatibility. In principle, the interface can be designed by selection and chemical modification of the components involved. However, in practice such design is a very challenging endeavor. Atomistic simulations can predict the structure of the interface, from which the component compatibility may be inferred. Similarly, mechanical testing of the composites may reveal some qualitative characteristics of the interface. Nevertheless, the throughput of these approaches is insufficient to screen the design space for the optimal M4s for various applications. This project aims at developing the capability to computationally design M4s with good mechanical properties. By employing machine learning techniques, we will be able predict the properties of the interface in a high-throughput manner. Similarly, our multi-scale models will establish quantitative relationships between the interfaces and the mechanical properties of the composites, which can be verified experimentally. To achieve these objectives, the Researcher will be provided training-through-research in high-throughput atomistic simulation workflows, material informatics and machine learning for material discovery as well as homogenization techniques and finite element approaches for multi-scale modeling. Moreover, this project will give the Researcher an opportunity to apply her expertise to explore the area of composite design in both basic science and industry-oriented perspective actively undertaken by IMDEA Material Institute.

Keywords: material informatics,metal organic frameworks,composite materials,multiscale
Holography and Neutron Stars (HoloNS)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-15
End date: 2027-09-14
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

My research project aims at using holographic methods to acquire insight into the properties of dense matter in the core of neutron stars. The latter are hard to predict due to the strength of interactions, that requires non-perturbative methods. A promising approach that is able to produce unambiguously non-perturbative results, is given by the holographic correspondence. In this project, I will apply the holographic correspondence in the regime of dense matter, with two main objectives. My first goal is to determine the phases of neutron star matter in holography. I will construct the holographic dual of dense baryonic matter, and extract relevant physical properties, including the neutron star equation of state, and the location of the transition to deconfined quark matter. I will also include the effects of isospin imbalance, to determine whether or not it can generate mesonic condensates in the core of neutron stars. My second objective is to understand the transport properties of dense holographic matter. These properties are relevant for neutron stars dynamics in a merger or during a supernova. In such events, the evolution contains two components : the strongly coupled baryonic matter that equilibrates fast, and is thus controlled by hydrodynamics, and the neutrino fluid, which is typically out of equilibrium. Both the hydrodynamics of the baryonic medium and the neutrino transport will be investigated. My results will be compared with available experimental constraints, and existing models proposed for the description of dense matter.

Keywords: holographic qcd neutron stars dense nuclear matter phases of qcd qcd transport neutrino transport
Improving treatment efficacy in hypertension by biomarker-guided personalised decision support (HT-ADVANCE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Unlocking the full potential of new tools, technologies and digital solutions for a healthy society
Action type: Research and Innovation actions
Countries involved: France,Netherlands,Italy,Germany,Belgium,Switzerland,United Kingdom
Call: Optimising effectiveness in patients of existing prescription drugs for major diseases (except cancer) with the use of biomarkers (HORIZON-HLTH-2022-TOOL-11, 2022)
Start date: 2023-03-01
End date: 2029-02-28
Duration (months): 72.0
Total project cost (EUR): 8649616.75
EU funding (EUR): 8649616.25
Participants: 15
Project status: SIGNED

In HT-ADVANCE we aim to revolutionise personalised management of arterial hypertension (HT) by using multi-omics (MOMICS) stratification biomarkers as companion diagnostics for the prescription of existing drugs. HT is the most important global risk factor for death and morbidity but is uncontrolled in more than 50% of patients. Causes of treatment failure include lack of identification of secondary forms such as endocrine hypertension (EHT) which can be curable by specific therapy. In addition, there is variable response to individual drugs and trial-and-error treatment leads to poor HT control and frustration for both patients and clinicians. The objective of HT-ADVANCE is to validate two multicomponent stratification biomarkers in patients with HT in order to i) identify patients with EHT, and ii) predict response to treatment in patients with primary hypertension. The hypothesis is that MOMICS biomarkers reflect specific forms of hypertension and susceptibility to specific drugs. To this end, we will run three clinical trials (HT-ENDO, HT-TREAT and HT-PREDICT) and apply machine learning techniques to integrate the genetic, genomic and metabolomic features that constitute the MOMICS biomarkers in order to generate accurate diagnostic and therapeutic response predictions for clinicians. We will also perform economic evaluation of the use of MOMICS for the treatment of HT, produce ethical and legal recommendations for clinical decision making, and develop a plan for their implementation as companion diagnostics. The study will be conducted by several HT Centres of Excellence and will build on the success of the ENSAT-HT project that has established methods and pipelines for integrating datasets derived from multiple platforms. We expect that HT-ADVANCE will provide a step change in the management of HT by enabling a personalised, more efficient and cost-effective treatment strategy, and importantly, will prevent the ensuing cardio-metabolic complications.

Keywords: hypertension,endocrine hypertension,multicomponent biomarker,companion diagnostic,prediction,therapeutic response,personalised medicine,omics