Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Symbiotic interactions at the origin of eukaryotes (SYMBEK)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Recent advances in environmental microbiology, metagenomics and phylogenomics strongly suggest that the eukaryotic cell evolved from symbiotic consortia involving an Asgard archaeon and, at least, the alphaproteobacterial ancestor of the mitochondrion. However, many genes of prokaryotic origin in the last eukaryotic common ancestor (LECA) appear to originate neither from archaea nor alphaproteobacteria, suggesting that other bacteria (e.g. Deltaproteobacteria) may have contributed to eukaryogenesis as additional symbionts or gene donors. To ascertain the origin of these genes, it is essential to better understand the ecology of symbiotic microbial consortia involving Asgard archaea (AA), and in particular, to identify the partners with which they interact in natural ecosystems. In this project, I will combine metagenomics, phylogenomics, fluorescence-activated single-cell/consortium sorting, high-throughput microfluidics, state-of-the-art fluorescence and electron microscopy techniques and cultivation approaches to identify and characterize members of AA syntrophic consortia and their associated viruses in a broad variety of microbial mats and oxygen-poor environments. With this information, I aim to i) identify the partners of AA syntrophic consortia across ecosystems, determine whether they co-evolve and unravel their ecological preferences; ii) characterize the metabolic interactions and phenotypic properties of AA symbiotic consortia in culture and/or from sorted consortia populations; iii) characterize the cell ultrastructure and potential presence of endomembranes in members of AA consortia, their three-dimensional organization and their spatial distribution in microbial mats; and iv) identify potential bacterial symbiotic partners involved in eukaryogenesis, in addition to the mitochondrial alphaproteobacterial ancestor, and/or gene donors to the LECA or its Asgard archaeal ancestor. Our results should substantially advance understanding of eukaryogenesis.

Keywords: eukaryogenesis,symbiosis,asgard archaea,deltaproteobacteria,alphaproteobacteria,mitochondria,horizontal gene transfer,metagenomics,phylogenomics
The livEs of Real woRld dAta (TERRA) (TERRA)

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: Israel
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 200538.24
EU funding (EUR): 200538.24
Participants: 1
Project status: CLOSED

Real-world data (RWD) refer to routinely collected data relating to patients’ health status and the delivery of health care originating from a range of sources other than traditional clinical trials. Electronic health records, patient registries or personal information collected from wearable devices are all examples of RWD. The Covid-19 pandemic saw the expansive use of RWD. Governments used these data to monitor populations’ health, while industry and drug regulators relied on RWD to assess the effectiveness of Covid-19 vaccines. Many of these RWD came from Israel and its data repositories. However, constructing the ‘real-world’ through data is not a simple task. Producing data takes work from database curators, researchers or policy-makers, while it entails making decisions about what and who to include in the data to represent the ‘real-world’. In other words, producing RWD means representing, and enacting, versions of the ‘real-world’, while creating populations. Taking Israel as an empirical case study, TERRA aims to crack open the concept of RWD. Combining a literature review and an ethnographic study, TERRA has four objectives: 1) To map the emergence of the concept of RWD; 2) To develop an empirical analysis of the production, curation, uses and governance of RWD; 3) To build a conceptual framework to understand and theorize the making of population and value through RWD; 4) To deliver a series of innovative dissemination events aimed at engaging the public and key stake-holders with RWD and its implications for practice. As lives are being datafied through RWD, we must critically investigate how such data are produced from individuals’ bodies. Specifically, when data are understood to capture the ‘real-world’, we must interrogate what and who is represented through these data, because this shapes who can be treated and governed, with what, and in which ways.

Keywords: critical data studies,health data,data infrastructure,valuation studies
High-Quality Data-Driven Services for a Digital Built Environment towards a Climate-Neutral Building Stock (DigiBUILD)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Efficient, sustainable and inclusive energy use
Action type: Innovation actions
Countries involved: Italy,Greece,Spain,Romania,France,Netherlands,Denmark,Belgium,United Kingdom,Portugal,Finland
Call: Advanced data-driven monitoring of building stock energy performance (HORIZON-CL5-2021-D4-01, 2021)
Start date: 2022-06-01
End date: 2025-05-31
Duration (months): 36.0
Total project cost (EUR): 5525782.5
EU funding (EUR): 4578873.75
Participants: 17
Project status: SIGNED

Traditional silo approaches, where stakeholders manage their own data, could be replaced by digital and smart buildings, merging heterogeneous data sources, and placing the stakeholders as the core of these buildings. DigiBUILD will catalyse this much-needed transformation by making use of high-quality data and next generation digital building services, supporting the deployment of EU-wide Framework for a Digital Building Logbook. An inclusive environment for multi-stakeholder knowledge exchange (based on European Bauhaus initiative) will be applied to co-design end-user-oriented services. DigiBUILD will provide an open, interoperable and cloud-based toolbox to transform current ‘silo’ buildings into digital, interoperable and smarter ones, based on consistent and reliable data, supporting better-informed decision-making for performance monitoring & assessment, planning of building infrastructure, policy making and de-risking investments. It will be built on top of existing platforms and common EU initiatives, towards an Energy Efficient Building Data Space, based on standard cloud-data platform frameworks (FIWARE) and Data Space initiatives (GAIA-X and IDSA). On top of this advanced data governance framework, we will create AI-based data analytics and Digital Building Twins based on high-quality data, aiming to facilitate transparency, trust, informed decision-making and information sharing within the built environment and construction sector, which will be deployed across 10 real-world conditions (TRL 8). DigiBUILD will contribute to the uptake of digital technologies in the building sector to better align the EU Member States’ long-term renovation strategies with the EPBD requirements on decarbonisation, and on a path towards a climate-neutral building stock by 2050.

Keywords: high quality data,high quality energy services,ai based data analytics,data interoperability,digital building twins,energy efficient building data space,digital building logbooks
Quantitative Analysis for Modern Signal Processing (QuaSiProc)

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: Mathematics
Countries involved: Austria
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 199440.96
EU funding (EUR): 199440.96
Participants: 1
Project status: CLOSED

Cell phones, digital cameras, medical imaging, and environmental monitoring: signal processing is at the core of our modern world. Motivated by the emergence of telecommunications in the 1960s, mathematical signal processing succeeded in providing a theoretical framework for the digital transmission of analog data in communication systems. However, as new technologies and applications arrived, much of the existing theory falls short of providing a sufficient formal description to support them. This project contributes to the development of mathematical theory and formal descriptions of many modern signal processing applications that are, to date, merely heuristically validated. My specific objectives are the following: 1) Quantitative analysis of sampling schemes where measurements are collected over continuous trajectories and signals evolve in time during the measuring process, combining different aspects from the theory of mobile sampling and dynamical sampling. 2) Advances in the method of sampling with derivatives (Hermite sampling) to integrate modern signal setups modeled by shift-invariant spaces through exploring new connections with shift-preserving operators' theory. 3) Quantification of existential results concerning sampling and interpolation with quasicrystals to explicitly estimate stability margins. During my PhD, I worked on harmonic analysis and sampling theory, including the topics of exponential bases, shift-preserving operators, and dynamical sampling: many of the methods I developed will be applied in this project. Complementarily, my supervisor, Jose Luis Romero, is an expert on sampling in shift-invariant spaces, mobile sampling, and quantitative sampling theory. Working at Univie, the academic house of many experts in these fields, I will benefit from the perfect environment to successfully develop my objectives.

Keywords: sampling theory,mobile sampling,dynamical sampling,hermite sampling,shift invariant spaces,shift preserving operators,quasicrystals,frame theory
Solid-state PCMs for Advanced energy Recovery and Key thermal control in electronics (SPARK-e)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Spain,United Kingdom,Portugal,Netherlands,Sweden,Poland,Italy
Call: Nanoelectronics for energy-efficient smart edge devices (HORIZON-EIC-2024-PATHFINDERCHALLENGES-01, 2024)
Start date: 2025-11-01
End date: 2029-10-31
Duration (months): 48.0
Total project cost (EUR): 4383570.08
EU funding (EUR): 3999281.46
Participants: 10
Project status: SIGNED

As electronic devices become more powerful and densely integrated, poor heat dissipation leads to overheating, compromising both efficiency and reliability. In applications where energy efficiency, compactness, and silent operation are essential—such as smart edge devices—passive thermal management is often preferred over active cooling. Traditional passive cooling methods include thermal interface materials, heat sinks, and more recently, solid-to-liquid phase change materials (PCMs). At smaller scales, solid-state thermal control devices are emerging as promising alternatives for enhanced thermal management. These materials differ from conventional passive solutions due to their sharply nonlinear thermal properties, which vary with direction and operating temperature. This unique behavior enables more efficient heat dissipation, improving circuit performance and energy conversion beyond traditional capabilities. SPARK-e will explore a selected set of solid-to-solid PCMs for: a) passive thermal management, pioneering the use of solid-to-solid PCMs; b) developing new solid-state thermal control devices, including innovative covalent organic frameworks as thermal switches; and c) energy harvesting, by using multifunctional PCMs that can store heat and convert it into electrical energy through pyroelectric effects. Experimental efforts will be supported by a simulation framework to describe how nanoscale physical properties translate into heat generation and dissipation rates within single electronic nanodevices, as well as micro and macro packages. The project will involve 10 partners from 7 EU countries, including universities, research centers, and technology suppliers, collaborating over 48 months across 12 work packages. Targeting Technology Readiness Level 4 (TRL4), SPARK-e aims to address the critical challenges of enhancing heat dissipation and reducing energy consumption in nanoelectronic devices.

Keywords: phase change materials,thermal switch,pyroelectrics,thermal regulators,multi scale modelling
Automating knowledge extraction from large dermatopathological datasets to establish objective and interpretable diagnostic frameworks (AUTODIAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1477458.0
EU funding (EUR): 1477458.0
Participants: 1
Project status: SIGNED

The continuous and overwhelming increase in the amount of data in health and science, including image collections, textbooks and scientific literature, renders it difficult to meaningfully understand, validate and query the available body of knowledge. Modern developments in artificial intelligence hold promise to solve these shortcomings by enabling the collection, understanding, curation, use of, as well as interaction with, large bodies of data. The goal of this project is to make this case in the explicit context of a highly specialized scientific field, dermatopathology, which is in charge of obtaining reliable diagnoses of skin diseases. We aspire to improve understanding in four different settings: 1) Unstructured real-life data: To obtain population-scale structured knowledge on the real-life burden of skin disease beyond cancer, we will use modern language models to automatically map historic unstructured pathology reports to disease entities. 2) Scientific corpora: Guidance of general-purpose language-models will be used to transform medical scientific corpora towards an open knowledge graph. 3) Cross-modality entity representation: Training a long-tail multi-modal and multi-task foundation model with enable to objectively define diagnostic grey zones and narrow them. 4) Interaction with large image data: Retrieval-, annotation-, and language-based interaction modalities will be developed into a digital microscopy viewing interface to find the most efficient avenues in human-computer interaction for the analysis of large-size medical image data. In sum, this project employs a multifaceted approach to standardize pathways to understand large, multi-modal open-set data, and further explore further the field of human-computer interaction in highly specialized imaging professions. Results will be transferable to other medical specialties, and vision-based scientific fields in general.
Scriptural Networks: Digital Exploration of Quotation Culture in Origen of Alexandria's Exegesis (Orige.net)

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 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-02-01
End date: 2027-01-31
Duration (months): 24.0
Total project cost (EUR): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: SIGNED

In the ancient world, knowledge production was based on the use of quotations, so much so that scholars commonly refer to it as 'quotation culture.' This culture of quoting extended across various ancient civilizations, including Greek, Near Eastern, Hebrew, and Chinese societies. Early Christian communities were no exception, as their theologies were drawn from the biblical texts. Analysing their citation patterns is essential in unravelling their thought processes. My project aims to redefine our understanding of early Christian quotation culture by employing digital network analysis (NA) techniques applied to the extensive works of the renown theologian Origen of Alexandria (3rd century). Origen's focus on biblical interpretation and his enduring influence makes him an ideal case-study. I will conduct an analysis of Origen's whole corpus using NA graphs and social network analysis, thus uncovering relationships and patterns within his biblical quotations. By looking at Origen’s use of biblical quotations as sets of interconnected relations, the project seeks to investigate how he derived his theological doctrines – particularly his doctrine of religious freedom – from the Bible. The proposed NA methodologies have never been applied to ancient texts, representing a groundbreaking approach that opens new research directions into the study of quotation culture. This innovative methodology holds promise not only for the study of early Christianity but also for a wide range of text-related disciplines. In collaboration with AU Department of Theology and the Centre for Humanities Computing (CHC), the project will achieve two objectives. O1: Develop a novel digital approach for studying quotation culture, resulting in the creation of an open-access and open-source custom-built graph database for visualizing clusters of biblical references in Origen’s work. O2: Explore the concept of religious freedom in Origen's work using the newly developed NA methodology.

Keywords: origen of alexandria,early christian studies,quotation culture,theology,digital humanities
Dangerous Liaisons: Classical Antiquity and LGBTQ Movements in Greece, the UK, and the US (HomoClassicisms)

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: Portugal,United States,United Kingdom
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 257113.44
EU funding (EUR): 257113.44
Participants: 3
Project status: SIGNED

Contemporary lesbian, gay, bisexual, trans, and queer (LGBTQ) movements actively engage with the past. Through archival selection and historiographical accounts, they construct, interpret, and preserve their collective identities. The proposed project, HomoClassicisms, focuses specifically on the cases of LGBTQ movements in Greece, the UK, and the US. Its research goal is to address, through the use of innovative qualitative methodologies from a Southern epistemological perspective, the position of classical antiquity in LGBTQ historiographies. The project aims to investigate whether the movements might become complicit with racialised narratives of identity formation in their articulation of particular pasts. Embracing a bottom-up approach, the project adopts an intersectional and interdisciplinary perspective to map, understand, and critically analyse longstanding omissions in LGBTQ historiographies. Indeed, this is a timely and urgent undertaking. In light of transnational migration and demographic dynamics currently challenging Western societies, investigating who is included and who is excluded within LGBTQ historiographies becomes a critical project. The project thus firmly aligns with the fourth key strategic orientation of Horizon Europe (HE): Creating a more resilient, inclusive and democratic European society. The project’s publication plan includes four peer-reviewed articles. Its extensive impact involves engaged modes of dissemination with international LGBTQ communities, archivists, policymakers, and the general public, following HE’s paradigm change from an activity-driven to an impact-driven approach. The fellow will acquire the necessary skills and research mentoring to analyse intersectional inequalities in relation to politicised uses of the past in a transnational context and to inform, enrich, and challenge theoretical debates originating from Global North over LGBTQ historiography, providing policy-relevant results.

Keywords: classical antiquity,lgbtq movements,lgbtq historiography,epistemologies of the south
Automated Vulnerability Detection in Software Development Using AI Techniques (AISSAM)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Lithuania
Call: ERA Fellowships (HORIZON-WIDERA-2024-TALENTS-02, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 181136.16
EU funding (EUR): 181136.16
Participants: 1
Project status: SIGNED

In today's software development problematic become new security threats that always appearing. To combat this, we can integrate penetration testing right into the development framework. With penetration testing, we can make the program mimic an attacker and simulate several different ways an attacker would try to breach the system. This gives us some immediate and valuable feedback on the system's potential weaknesses. Even when we use additional tools to do the actual pen testing, we can still derive value from doing them in the development framework. These "tests" are also valuable based in real time. The project aims to ensure more effectively uncover software vulnerabilities by combining static and symbolic analysis with artificial intelligence (AI) advances. The project objectives: 1. to analyse existing practices on minimizing positives and enhance method efficiency by harnessing AI capabilities, for results to decrease Cybersecurity problems. 2. to develop an AI-based model that improves bug detection accuracy by efficiently integrating symbolic execution with static analysis. 3. to develop AI based prototype on static and symbolic analysis improving penetration testing accuracy. AI-powered prototype will enhance current techniques by improving the resource-intensive symbolic execution process and minimizing false positives, which are frequently linked to static analysis. While current AI tools typically handle either symbolic analysis or static analysis, the AI model we will develop will cover both of them. AISSAM promises more comprehensive problem finding tool than either kind of analysis can deliver on its own. Technological impact will be made on up to 20 SME’s and will significantly increase efficiency of bug detection accuracy by efficiently integrating symbolic execution. SME’s will get also an economic impact by saving funding for cybersecurity challenges solving.

Keywords: software vulnerabilities,static and symbolic analysis,artificial intelligence