Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The History of Feminist Political Thought and Women’s Rights Discourses in East Central Europe 1929 - 2001 (HERESSEE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-06-01
End date: 2028-05-31
Duration (months): 60.0
Total project cost (EUR): 1494129.0
EU funding (EUR): 1494129.0
Participants: 1
Project status: SIGNED

This project will produce the first comprehensive and multi-disciplinary history of feminist political thought and women’s rights discourses in East Central Europe in a broad chronological perspective. The project builds on a solid base of existing scholarship, but does more than weave the stories of individual women or fragmented national case studies in the existing scholarship into a coherent narrative. Instead, it reinterprets the story of feminism in the region in relation to state socialism and the history of state socialism through the lens of feminism. It treats the interwar pre-history of debates between socialism and feminism, as well as the post-1989 struggles to deal with the state socialist past as integral parts of the history of state socialism. Intellectual historians have paid relatively little attention to this region, to women, and to feminism. Yet it is precisely the issues traditionally at the heart of their field – such as the origins and transformations of ideas in their social and cultural contexts – that are required to understand feminism in East Central Europe. Recent advances in the field have often been driven by methodological innovations, and particularly the use of sources beyond political essays and academic publications. This project also draws upon sources like popular women’s magazines, literary and art works, samizdat publications, party documents, and oral history interviews. The research team reflects the diversity of the European continent, mobilising linguistic and methodological skills to match the project’s broad source base, inclusive geography, and extended chronology and to produce a body of research that is both comprehensive in scope and sensitive to local particularities. By situating them in their local, regional and transnational contexts, this project integrates feminist political thought, women’s rights discourses, and their authors in East Central Europe into the broader European intellectual tradition.

Keywords: social history,oral history,biographies,women s history,eastern,east central and southeast europe
MAGnetic In-silico CAncer Treatment (MAGICAT): Advanced models of magnetic hyperthermia (MAGICAT)

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: Spain,Italy
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: CLOSED

Magnetic nanoparticles show promising perspectives for an increasing number of biomedical applications, in particular magnetic hyperthermia, which is proposed as a non-invasive method for cancer therapy. The advances are limited by the complex behaviour of nanoparticles inside biological environments and the lack of sophisticated theoretical tools to tackle the problem. The project goal is to develop an advanced theoretical and computational model to investigate the basis of magnetic hyperthermia and provide tools for personalised therapy optimisation. The model will use state of the art techniques in theoretical magnetism and thermodynamics to describe, in a self-consistent way, the heat generation and transport inside and around the tumour. The new theoretical framework will allow quantifying the heat generated by each individual particle at nanosecond resolution. This will include the case of large particle assembles, where inter-particle interaction play a crucial role. The short time scale (nanoseconds) required by the fundamental aspect of the problem will be coupled with the large time scale (minutes/hours) required for the treatments by using a multiscale approach. To mimic the physical conditions of magnetic nanopaticles inside real tumour tissues, particles/tumour spatial configuration and properties will be based on experimental data. The model will be validated through an extensive collaboration with leading experimental groups. The final goal is to develop a publicly available documented software which can be used by the research community for basic theoretical studies, understanding of experiments, and as a tool for hyperthermia optimisation.

Keywords: magnetic modelling,magnetisation dynamics,magnetic hyperthermia
Artificial Intelligence to Search for Drug Leads in Gigascale Chemical Spaces as a way to Fight Antimicrobial Resistance in Malaria (AI-ARM)

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: Information Science and Engineering
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

Malaria, a global infectious disease, is facing a critical issue of drug efficacy loss due to the alarming rise of antimicrobial resistance (AMR). To combat this, a promising strategy is the discovery of cell-active drug leads hitting new targets, such as P. falciparum dihydroorotate dehydrogenase (PfDHODH). However, two main roadblocks prevent us from achieving this important goal: 1) many molecules with potent activity on a protein target are later found to be inactive in pathogen cultures for various reasons, 2) identifying novel drug leads with potent activity on both protein and phenotypic targets has traditionally been a lengthy and costly process. A timely opportunity leveraging the fast-growing volumes of bioactivity and protein structure data to guide virtual screening. Indeed, Artificial intelligence (AI)-guided virtual screening has boosted hit rates and potencies in both molecular and phenotypic activity assays on other human pathogens. This multidisciplinary project will therefore investigate cutting-edge AI models to guide structure-based virtual screening against the molecular target PfDHODH. This project will use the best of these AI models to screen drug-like ultralarge libraries for novel molecules with potent activity on the considered target in a fast and cost-effective manner. To predict which of these target-active molecules are also cell-active, we will investigate and use AI models to guide phenotypic virtual screening against reference (Pf3D7) and drug-resistant (PfDd2) pathogen cultures.

Keywords: antimicrobial resistant,malaria,virtual screening,conformal prediction
Rural Economy and Peasant Dispossession in the Ottoman Balkans: Landed estates (çiftliks) in Manastır (RuralDispossession)

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: Greece
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 169326.72
EU funding (EUR): 169326.72
Participants: 1
Project status: SIGNED

RuralDispossession investigates Ottoman privately-owned landed estates (çiftliks) in the late 18th and late 19th century. These estates were crucial to the Ottoman (and post-Ottoman) transition from a pre-modern economy to an industrial one. While debates on the nature and function of these estates constitute one of the fundamental historiographical issues for Ottomanists, they have remained dormant in past decades. More importantly, historians remain in the dark regarding the phenomenon's complexity and regional differentiation.The project traces the history of the Balkan çiftlik in relation to the transformation of rural society, peasant dispossession, labor regimes, and the textiles sector. It focuses on the district of Manastır (modern North Macedonia), a region crucial to the çiftlik phenomenon, characterized by a complex network of relations between the estates, villages, and centers of textile production. It wıll analyze the patterns of population change to determine the extent of labor mobility between settlements -especially instances of movement from villages into çiftliks and rural textile centers- to identify short- and long-term labor migration patterns. The overall project objective is to investigate the relationship between peasant dispossession, çiftlik formation, and textile production. Archival sources include Ottoman tax and property registers, population surveys, and court registers, will be combined and analyzed via GIS tools to make it possible to investigate the rural history of the district, establish a comparative framework with other regions, and contribute to the literature on the dynamics of the economic history of the Ottoman as well as post-Ottoman Balkan world. These methods will shed new light upon the çiftlik debate, given that Ottoman tax and property surveys have been under-utilized in historiography, and contain a wealth of information that promises much richer and more detailed understanding of the significance of the phenomenon.

Keywords: ottoman history,balkan history,rural history,peasant studies,labor history,labor mobility,migration,dispossession,landed estates
SHADES of Bullying: Studying Heterogeneity and Adjustment in Different Environments (SHADES)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Finland
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 1498858.0
EU funding (EUR): 1498858.0
Participants: 1
Project status: SIGNED

SHADES holds great potential for scientific breakthroughs in unravelling the complexities of school bullying by advancing the understanding of heterogeneous youth who bully their peers and persistent bullying, genetic underpinnings behind them, and life-course of different types of bullies. This will help develop targeted interventions to tackle bullying more efficiently and thus prevent long-lasting suffering of victimized youth and mitigate consequences for bullies.In order to move the field forward, there is an urgent need to shift from studying average effects of bullying or bullies as a homogenous group towards inspecting subtypes among youth tormenting their peers. SHADES addresses gaps in the literature through four objectives. First, it will build a comprehensive understanding of characteristics, motives, and social cognitions of heterogeneous bullies (WP1). Second, by systematically assessing persistent bullying it will draw a nuanced picture of factors influencing continuance and discontinuance of bullying (WP2). Third, it will reveal the underlying polygenic factors contributing to heterogeneity among perpetrators and persistent bullying (WP3). Fourth, it will construct a holistic view of how different types of bullies adapt to various areas of life (e.g., work, relationships) as they transition into adulthood and how genetic factors influence the adjustment (WP4). SHADES will 1) develop two novel instruments: a mobile test of implicit attitudes and motives and an eye-tracking experiment of social cognitions, 2) collect new data (self- and peer-reports + experimental data), and 3) combine existing data into a globally unique longitudinal dataset (survey in childhood, adolescence, and adulthood + genetic data + register data from the same individuals). This enables drawing a comprehensive picture of different types of bullies and persistent bullying at the genetic level, in the short-term (through middle school), and in the long term (up to adulthood).

Keywords: bullying perpetration,psychosocial adjustment,genetic confounding
Boosting innovation in breeding for the next generation of legume crops for Europe (Legume Generation)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Innovation actions
Countries involved: Germany,Austria,Italy,Poland,Denmark,France,Czechia,Spain,Belgium,Bulgaria,United Kingdom,United States,Switzerland,Netherlands,Greece,New Zealand
Call: Boosting breeding for a sustainable, resilient and competitive European legume sector (HORIZON-CL6-2022-BIODIV-02-two-stage, 2022)
Start date: 2023-09-01
End date: 2028-02-29
Duration (months): 54.0
Total project cost (EUR): 5950998.55
EU funding (EUR): 5533252.74
Participants: 33
Project status: SIGNED

The Legume Generation consortium will invest in innovation that boosts the breeding of legumes in Europe by combining the entrepreneurial focus of breeders with the broad inventiveness of the supporting research base. Six species-oriented breeder-led innovation communities will link practical breeding with the research-base in a transdisciplinary framework. They lead the innovation work and each is focused on the breeding of a single species or species type: soya bean (Glycine max); lupins (Lupinus spp); pea (Pisum sativum); lentil (Lens culinaris); phaseolus bean (Phaseolus spp. e.g., ‘common’ bean); and white and red clover (Trifolium repens and T. pratense). These are supported by the cross-project collection of intelligence on ideotype concepts, beneficial traits, a catalogue of legume species and cultivars, and breeding methods assembled in the Legume Generation Knowledge Centre; the production and validation of novel resources (genotypes, methods, and tools); screening, demonstration and testing of germplasm and new cultivars in different regions; training to support breeding gains in our innovation communities; governance and financial models, and business plans for inclusive plant breeding. All this will be supported by consortium internal and external dissemination and communications, including the extension of the European Legume Hub as a platform for sharing of knowledge. We currently run 43 breeding and pre-breeding programmes. We will give these a decisive boost through access to resources that accelerates the production of novel germplasm, innovating up to the point where newly bred germplasm and cultivars are proven on farm. Breeders will use the results to support expansion of legume production. Our innovation communities will be open to all relevant actors and provide a direct route for the dissemination of results to other users and interested stakeholders. Their sustainability beyond the life of the project will be supported by business plans.

Keywords: lentil,phaseolus bean,lupin,soya bean,clover,pea,breeding,innovation
When antimatter meets strangeness: a new era for precision hypernuclear physics (HYPER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2954030.0
EU funding (EUR): 2954030.0
Participants: 2
Project status: SIGNED

Observable hadronic matter is mostly composed of u, d quarks. The strangeness degree of freedom is expected to play an important role in dense nuclear matter in the form of hyperons, baryons with at least one valence strange quark. Hyperons can form bound nuclear systems with nucleons and create short-lived hypernuclei which decay on the time-scale of the weak interaction (typically ∼200 ps). Our knowledge of nuclear matter is so far restricted to precision nucleon scattering and nuclear data while a generalisation to other quark flavours lacks precision data. HYPER pioneers a new production mechanism of hypernuclei from antimatter. HYPER will explore the terra incognita of the strange nuclear landscape with unprecedented capabilities. The measured precision ground-state properties and spectroscopy of single-lambda hypernuclei along isotopic chains, from neutron deficient to neutron rich, will give access to the isospin properties of the many-body interactions involving lambda hyperons, and thus to the role of strangeness in the nuclear equation of state and in neutron stars. The core of HYPER is the development of a new multi-purpose detector with high sensitivity, energy and timing resolutions to be used at the Antimatter Factory of CERN. HYPER has the potential to seed a hypernuclei factory in Europe.
Delay-Doppler Domain Communications and Radar Sensing (DDComRad)

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: Information Science and Engineering
Countries involved: Germany
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): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: SIGNED

Next-generation wireless networks are envisioned to provide high data rate and reliability with accurate sensing capability. To achieve this, new breakthrough in wireless technology is a must. Conventional wireless technologies are designed in the time-frequency (TF) domain, where the channel response could experience significant fluctuations, and the key radar parameters, e.g., delay and Doppler, are not explicitly represented. Consequently, TF domain communications generally require frequent channel estimation and large signalling overhead, and the communication waveforms need sophisticated adaptions to cater to radar sensing. Recent advances in delay-Doppler (DD) domain signal processing have opened the door for wireless communications and radar sensing in the DD domain. Leveraging the distinct channel features, DD domain communications do not require frequent channel estimation. Moreover, linear delay and Doppler estimation could be possible in the DD domain, thanks to the explicit representations of delay and Doppler. The goal of DDComRad is to fully unleash the potential of communications and radar sensing in the DD domain by developing novel techniques for 1) DD domain multiuser multiple-input multiple-output (MU-MIMO) transmissions; 2) DD domain integrated sensing and communications (ISAC) designs; 3) DD domain pulse shaping and realization. The main research approaches that will be employed include the advanced DD domain signal processing tool, e.g., Zak transform, information-theoretical analysis, and machine learning. The research outputs will have a significant impact on the applicant’s career prospects enabling him to obtain a leadership position in academia or industry. More importantly, the proposed research will not only secure the leadership of the European Union (EU) in the 6G competition, but also contribute to the economic future of the EU, especially for the development of novel applications, such as intelligent transportation and telemedicine.

Keywords: delay doppler domain communications delay doppler domain radar sensing orthogonal time frequency space integrated sensing and communications mu mimo pulse shaping
Continuous stratification for improved prevention, treatment, and rehabilitation of stroke patients using digital twins and AI (STRATIF-AI)

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: Sweden,Ireland,Spain,Germany,Romania,Italy,Switzerland,United Kingdom,France
Call: Computational models for new patient stratification strategies (HORIZON-HLTH-2022-TOOL-12-two-stage, 2022)
Start date: 2023-05-01
End date: 2027-04-30
Duration (months): 48.0
Total project cost (EUR): 5698475.0
EU funding (EUR): 5698475.0
Participants: 15
Project status: SIGNED

State-of-the-art stratification today is based on machine-learning (ML) algorithms, trained on large cohort data. This has two main limitations: a) such ML-models cannot use all the variety of different data that is generated about a patient, b) stratification is thus only done intermittently, implying out-dated and sub-optimal care decisions. To remedy this, we herein present a new concept and technology - continuous stratification, using our new STRATIF-AI platform. In continuous stratification, all data generated about a patient is cumulatively stored in a Personal Data Vault, controlled by the patient. These personal data continuously updates our world-unique digital twins. The unique potential with our twins comes from the hybrid architecture, combining mechanistic, multi-scale, and multi-organ models with ML and bioinformatics. This allows us to simulate patient-specific responses to changes in diet, exercise, and certain medications, and see changes on both an intracellular, organ, and whole-body level, ranging from seconds to years. We also combine semantic harmonization with federated learning to securely re-train the various sub-models, when new data become available in one of the cohort databases. In this project, we will for the first time use this cutting-edge technology to connect a series of apps that together covers an entire patient journey. Using 6 new clinical studies, involving 8 new partner hospitals, we will both refine and validate the models, and demonstrate how the same digital twin can follow a patient across different apps, covering all phases of stroke: from prevention, to acute treatment, and rehabilitation. Our scalable platform for continuous stratification forms the foundation for a new interconnected and patient-centric healthcare system.

Keywords: digital twins,stroke,personalization