Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Memories of the Moderns: Life-Writing and Literary History (MemMod)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: CLOSED

The degree to which experimental writers of the early twentieth century drew on their own life stories for creative expression is a commonplace of both the critical and popular receptions of modernism. Less recognised, however, is the role that forms of life-writing – from memoir to biographical fiction – still play in our literary histories of the period. The primary research aim of MemMod is to document the ways in which representations of personal memory not only inform literary history but also constitute the shared collective memory of a research community. The project offers a case study of James Joyce (1882–1941), one of the most admired, emulated, and mythologised masters of twentieth-century prose and about whom many stories circulate in the research community and among the general public. Drawing on memory studies for its theoretical framework, MemMod will explore the archives of Sylvia Beach (1887–1962), Frank Budgen (1882–1971), Stanislaus Joyce (1884–1955), and Richard Ellmann (1918–1987), all of whom penned influential accounts of Joyce, to identify and unpack stories that are central to our understanding of the modernist period. MemMod will examine why these narratives have such staying power in the construction of modernism, even as research and new evidence dramatically reshape our accounts of the past. Research objectives are to develop a theoretical framework from memory studies in order to engage with the marginal textual forms of modernist life-writing; to determine how memoirists and biographers represent personal memory by conducting on-site archival research; and to edit, annotate, and introduce a diary covering Joyce’s life in Trieste from 1907 to 1909 and to publish and publicise it among researchers and the general public. Project outputs will include three peer-reviewed articles in high quality journals; a podcast on collective memory and research communities; and a published edition of Stanislaus Joyce’s Trieste diary.

Keywords: memory studies,life writing,literary modernism,literary biography,james joyce
Optimization of Seismic Structural Health Monitoring Systems Based on Value of Information Analysis (ObSerVation)

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: Italy,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-11-01
End date: 2026-04-30
Duration (months): 30.0
Total project cost (EUR): 215937.6
EU funding (EUR): 215937.6
Participants: 4
Project status: SIGNED

Infrastructure systems such as bridges and critical buildings are integral to modern society and play a decisive role in a nation’s economic, social, and strategic stability. Considering Europe’s aging infrastructure, much of it exposed to significant seismic hazard and maintained under constrained budgets, effective and science-driven integrity management solutions are urgently needed. Structural Health Monitoring (SHM) systems can enhance decision-making by reducing uncertainties in both structural capacity and seismic demand. This project will develop an advanced, updatable Decision Support Tool (DST) for the optimal design and implementation of SHM systems for structures and portfolios in seismic-prone regions. The DST will build on the Value of Information (VoI) framework, integrating enhanced models of structural capacity that account for both gradual deterioration and sudden seismic damage, as well as mainshock-aftershock-aware seismic demand models. A novel stochastic ground-motion generator, informed by 3D physics-based simulations and calibrated to regional recordings, will capture source, path, and site effects while explicitly addressing aftershock-specific spectral characteristics and period elongation in damaged structures. Calibration and validation will leverage the unique datasets of the Seismic Observatory of Structures (OSS) within Italy’s Department of Civil Protection, which provides dense, multi-typology, real-time recordings of both ground motion and structural response. By combining advanced deterioration modelling, aftershock-aware hazard representation, and operational OSS datasets, the project will establish a maintainable, continuously updatable DST framework. This approach advances the state of the art in post-earthquake risk assessment, supports resilience-driven prioritization of interventions, and demonstrates tangible societal benefit by reducing economic losses, infrastructure downtime, and environmental impact. The results will directly contribute to European disaster resilience goals and to the United Nations’ Sustainable Development Goals by strengthening the science-policy-practice interface in seismic risk management.

Keywords: value of information,structural health monitoring,integrity management,3d physics based simulation,bridge
Democratising and making sense out of heterogeneous scholarly content (SciLake)

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,Poland,Italy,Netherlands,Spain,Germany,Norway,Sweden,Switzerland
Call: Innovative and customizable services for EOSC (HORIZON-INFRA-2021-EOSC-01, 2021)
Start date: 2023-01-01
End date: 2026-03-31
Duration (months): 39.0
Total project cost (EUR): 4809450.0
EU funding (EUR): 4809449.0
Participants: 14
Project status: SIGNED

SciLake's mission is to build upon the OpenAIRE ecosystem and EOSC services to (a) facilitate and empower the creation, interlinking and maintenance of Scientific/Scholarly Knowledge Graphs (SKGs) and the execution of data science and graph mining queries on top of them, (b) contribute to the democratization of scholarly content and the related added value services implementing a community-driven management approach, and (c) offer advanced, AI-assisted services that exploit customised perspectives of scientific merit to assist the navigation of the vast scientific knowledge space. In brief, SciLake will develop, support, and offer customisable services to the research community following a two-tier service architecture. First, it will offer a comprehensive, open, transparent, and customisable scientific data-lake-as-a-service (service tier 1), empowering and facilitating the creation, interlinking, and maintenance of SKGs both across and within different scientific disciplines. On top of that, it will build and offer a tier of customisable, AI-assisted services that facilitate the navigation of scholarly content following a scientific merit-driven approach (tier 2), focusing on two merit aspects which are crucial for the research community at large: impact and reproducibility. The services in both tiers will leverage advanced AI techniques (text and graph mining) that are going to exploit and extend existing technologies provided by SciLake's technology partners. Finally, to showcase the value of the provided services and their capability to address current and anticipated needs of different research communities, four scientific domains (neuroscience, cancer research, transportation, and energy) have been selected to serve as pilots. For each, the developed services will be customised, to accommodate differences in research procedures, practices, impact measures and types of research objects, and will be validated and evaluated through real-world use cases.

Keywords: scientific knowledge graphs data lakes heterogeneity scientific impact reproducibility
European Bus Rapid Transit of 2030: electrified, automated, connected (EBRT2030)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Innovation actions
Partnership: 2ZERO (co-programmed)
Countries involved: Belgium,Austria,Spain,Netherlands,Greece,Finland,Sweden,France,Czechia,Italy,Türkiye,Germany,Colombia
Call: New generation of full electric urban and peri-urban Bus Rapid Transit systems to strengthen climate-friendly mass transport (2ZERO) (HORIZON-CL5-2022-D5-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 30491980.11
EU funding (EUR): 22776213.57
Participants: 55
Project status: SIGNED

The eBRT2030 project will create a New Generation of advanced full electric, urban and peri-urban European Bus Rapid Transit (BRT) enhanced with novel automation and connectivity functionalities, to support sustainable urban transport by reducing cost/km/passenger, TCO, GHG and pollutant emissions and traffic congestion. The eBRT2030 project is developed through three main lines: 1) The development of technology-focused key innovative solutions for BRT, both at system and subsystem level, at level of vehicle, infrastructure, operation, and IoT connectivity 2) 7 demos of BRT system innovative solutions in real-operation, both city-&operator-led and BRT system-focused, or focused on specific technology innovation at subsystem level that are ready for BRT operations, in Europe and outside Europe (in Latin America and East-Africa), and fully integrated in the whole urban mobility scenario 3) the definition a new European concept of Bus Rapid Transit for year 2030, benefitting of evaluation, multiplication and replication of the real-operation test of innovations, that improve the performance of the whole European urban bus system. All cities in eBRT2030 have BRT lines already in operation or launched within 2023, and strongly committed to innovate with electrification, automation, connectivity technology tailored to the characteristics of European bus operations.

Keywords: electrification,automation,iot and connectivity,charging infrastructure
Predicting outcomes of nature based solutions and river reconnection for endangered cold-water fishes in European rivers (RESOLUTE)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-04-01
End date: 2028-03-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

Climate change and river fragmentation are interacting in Europe's rivers to drive population extinctions of cold-water fishes, including those of the Salmonidae family. The effects of extreme warming in summer can be mitigated by increasing the provision of cool-water refugia through nature based solutions (NBS) that provide salmonid fishes with optimal rather than critical temperatures. However, the fishes must be able to access these refugia, which can be difficult in highly fragmented rivers, unless fish pass engineering is applied to the barriers fragmenting the river. The beneficial interactions of NBS and fish pass engineering on salmonid populations are, however, unknown. While they could facilitate behavioural thermoregulation, where fish actively move from warm areas into cooler waters (often moving >10km), fish passes also impose considerable inter- and intra-specific selectivity of fishes, often only being passable of specific size ranges and behavioural phenotypes (e.g. proactive individuals with bold, exploratory behaviours). Consequently, mitigating for warming and river fragmentation using NBS and fish pass engineering could result in considerable modifications to the diversity and distribution of fish species and phenotypes in Europe's rivers. This project aims to overcome these considerable knowledge gaps on how NBS and fish pass engineering can act in concert to provide sustainability in cold-water fishes in warming and fragmented rivers. The complementarity of an outstanding researcher in applied fish ecology with a European research group with exceptional expertise in fish spatial and trophic ecology will complete an empirical study based on fish biotelemetry methods in a natural field experiment testing relevant hypotheses within four NBS/ fish pass scenarios. The generated empirical data are then used as the basis for predictive models for simulating the outcomes of different scenarios of warming and fragmentation of global relevance.

Keywords: fish pass science,acoustic biotelemetry
Energy-efficient Artificial Synapses based on Innovative Ferroelectric Transistors (EASIFeT)

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: Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-11-01
End date: 2025-10-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

The exponential growth of demand for data processing requires increasingly large computational resources and, consequently, prohibitively high energy consumption. To sustain this evolution, a paradigm switch from conventional computing architectures to data-centric platforms is needed. Neuromorphic computing aims at reaching this goal by realizing brain-inspired circuits based on artificial neurons and synapses, which are extremely energy efficient. The objective of this project is to explore a novel type of artificial synapse to be employed in neuromorphic chips. Among the technological options for solid state synapses, memories based on ferroelectric field-effect transistors (FeFET) are considered very promising due to their energy efficiency and to their compatibility with a Back-End-Of-Line implementation and thus a 3D integration. A FeFET is a field-effect transistors that employs a ferroelectric (FE) material as gate oxide. FE materials have a spontaneous electric polarization that can be reversed by the application of an electric field, and in conventional FeFETs this is used to modulate the threshold voltage and thus resistance in the channel region. This project will address an alternative physical mechanism to obtain a synaptic behavior in FeFET, namely a polarization-induced tuning of the resistance at source/drain Schottky contacts. In the Ferroelectric Schottky barrier FETs (Fe-SBFETs), the FE material overlaps the Schottky contact region, hence in this region the FE material is placed between two metals resulting in an effective and low voltage ferroelectric switching. For this reason, Fe-SBFETs are expected to operate as low energy synaptic devices. In this project, Fe-SBFETs will be extensively studied and modeled, by means of TCAD simulations. A design-space for optimal synaptic operation will be derived. Finally, a compact model for SPICE simulations of neuromorphic circuits based on Fe-SBFETs will be developed.

Keywords: electron devices modeling,tcad simulation,ferroelectric field effect transistor,schottky barrier field effect transistor,non volatile memory,memristor,artificial synapse,neuromorphic hardware
Integrative, AI-aided Inference of Protein Structure and Dynamics (bAIes)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-08-01
End date: 2028-07-31
Duration (months): 60.0
Total project cost (EUR): 2932775.0
EU funding (EUR): 2932775.0
Participants: 1
Project status: SIGNED

The life sciences community is living in exciting times. During the past year, Artificial Intelligence (AI), and in particular AlphaFold2, has contributed to advancing our understanding of protein behaviour by enabling structure prediction with accuracy comparable to many experimental techniques at a fraction of their time and costs. However, structures are only a piece of the puzzle. To understand the mechanisms underlying biological functions, we need to characterize the conformational landscape of proteins, the population of relevant states, and their pathways of interconversion. Furthermore, we need to determine the effect of the environment in modulating structures, populations, and pathways, as biological systems perform their functions in the complexity of cells rather than in the isolation of test tubes. None of these objectives can be achieved by AI structure-prediction methods alone. In this proposal we will leverage the PI’s expertise in the field of integrative computational-experimental techniques to develop, apply, and disseminate bAIes, a modelling approach that will enable attaining these goals. bAIes will make synergistic use of AI structural models, experimental data, and molecular simulations driven by accurate physico-chemical models to characterize protein structure and dynamics. We will demonstrate how bAIes can solve biological problems that exceed the capabilities of AI approaches, such as the characterization of protein disordered regions and the determination of structure and dynamics in situ, with a particular focus on the SARS-CoV-2 spike protein. The outcome of this proposal will be a versatile, accurate and efficient method that will push the boundaries of what can be achieved with AI structure-prediction methods. bAIes will be implemented in the widely used PLUMED library, of which the PI is founder and core developer, thus enabling its application to a wide variety of systems and biological problems beyond those envisioned here.

Keywords: integrative modelling protein dynamics protein structure protein disordered states molecular dynamics simulations molecular mechanisms ai structure prediction alphafold
LeukoBIAS: Analysis, mitigation, and auditing of bias in foundation model-based leukemia detection from routine diagnostic blood smears (LeukoBIAS)

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-2024-POC, 2024)
Start date: 2025-07-01
End date: 2026-12-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Foundation models have revolutionized image processing in healthcare, offering robust performance across various tasks without task-specific training. However, potential biases in these models, especially when applied to critical medical diagnostics such as leukemia detection, remain largely unexplored. LeukoBIAS aims to address this crucial gap by developing a framework for analyzing and mitigating bias in foundation model-based leukemia detection algorithms. Building on my previous work in AI-driven leukemia diagnostics, we will leverage a unique real-world dataset of over 6000 patients from my long-time industry partner, the Munich Leukemia Laboratory, to investigate biases related to sex, age, and other patient characteristics. Our approach combines advanced machine learning techniques, including multiple instance learning and attention mechanisms, with novel bias detection and mitigation strategies. The project consists of three work packages: (i) bias analysis in foundation model-based leukemia diagnostics; (ii) development of bias mitigation techniques for model fine-tuning; and (iii) exploration of intellectual property and commercialization opportunities for bias auditing. The innovative potential of the project extends beyond leukemia diagnostics. We will thus explore the scalability of our approach to other modalities and conduct a comprehensive market analysis to identify potential industry partners. LeukoBIAS will contribute to the scientific understanding of bias in medical AI and pave the way for more equitable and reliable AI-driven diagnostic tools. By addressing the requirements outlined in the EU Artificial Intelligence Act, LeukoBIAS is poised to have a significant impact on the development and deployment of trustworthy AI in healthcare. By providing a framework for bias analysis and mitigation, this project will contribute to more accurate diagnoses, improved patient outcomes, and accelerated innovation in AI-driven medicine.
Metropolises in the Mud Innovation in Delta Building Technology in Europe and China in the pre-Industrial Age (URBAN-DELTA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Belgium
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 1995000.0
EU funding (EUR): 1995000.0
Participants: 1
Project status: SIGNED

Deltas are among the most urbanised and wealthiest regions of the world. Today, their very existence is threatened by climate change. Innovative solutions are urgently needed, and delta cities around the globe have joined forces to confront the climate crisis. The dependence on innovation for their survival is however not a recent phenomenon but has a longer history. Surprisingly, little is known about the specialised skills and knowledge shown by earlier civilisations in constructing and protecting these cities. URBAN-DELTA hypothesizes that major advances in the history of water-related engineering were not random but occurred at specific places and times. Several pioneering hotspots in the pre-industrial age seem to have existed. Therefore, the aim of URBAN-DELTA is to attain an entirely new, multidisciplinary understanding of technological innovations by tracing and explaining their historical emergence in the production of the built environment in Eurasian deltas before 1800. This project is the first in-depth comparative study of construction techniques for marshy conditions. It examines three key deltas in Europe and China and questions how builders overcame technological limitations. Did innovation occur incrementally or were there spurts at specific times and places? What were the dynamics of these processes and what factors stimulated innovation? URBAN-DELTA’s methodological innovation is to study the built environment from a comparative perspective, combining approaches from Engineering, Economic and Architectural History. It tests hypotheses central to the debate on the conditions for innovation by looking at a vital industry, hitherto ignored in scholarship. This will result in a fundamental rethinking of how architecture comes into being and provides an entirely new explanatory framework for future research. In addition, it generates new knowledge that is urgently needed for the preservation of heritage threatened by climate change.

Keywords: history of technology building industry technological innovation building knowledge mechanical engineering practical knowledge design practices