Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
European Union AI Uncertainty Reduction and Alignment (EU-AURA)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Belgium
Call: EIC Accelerator Open 2024 (HORIZON-EIC-2024-ACCELERATOR-02, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 2919558.76
EU funding (EUR): 2043691.13
Participants: 1
Project status: SIGNED

91% of AI fails post-deployment, according to a recent publication in Nature by Harvard and MIT. This corresponds to over €10 billion in estimated losses in the EU alone, mainly because real-world AI model performance cannot be monitored or aligned. We've developed five novel generically applicable algorithms to estimate AI performance with groundbreaking accuracy. NannyML empowers data scientists to assess AI post-deployment, ensuring large-scale efficacy reducing risk, costs, and biases. Data scientists, increasingly at the helm of European projects, select products anchored in innovative research. Our strategy is based on transparent, product-led promotion, with distribution on cloud marketplaces driven via blogs, papers, and professional communities. NannyML’s open-source solution is one of the most widely adopted AI monitoring solutions in the world, with over 2,000 known monthly active instances, 20,000 monthly downloads, and a community of 50,000 data scientists. NannyML has been implemented at Europe's leading corporations like Essilor Luxottica, Ahold Delhaize and TUI. Our next major milestone is commercializing NannyML’s technology. Europe is at a pivotal moment in history, and the world needs European AI that is properly Aligned. With the support of the European Innovation Council NannyML will ensure Europe leads the world in delivering Aligned AI.

Keywords: machine learning monitoring,artificial intelligence,post deployment data science,detecting model failure,root cause analysis,increasing ai safety,reducing ai uncertainty,ai enablement
Micro-behaviors Recognitions through Nonverbal Signals (MIRROR)

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: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: CLOSED

Micro-behaviors are subtle, often unconscious actions, expressions, or gestures that individuals exhibit in their daily lives. They are often shown in nonverbal communication. Understanding these subtle cues and endowing future artificial intelligence agents this capability could enhance our interactions and relationships. However, current automated systems cannot recognize micro-behaviors. To this end, I will address this gap using multimodal perception and deep learning to automatically recognize micro-behaviors through nonverbal signals such as facial expressions and body language. I will focus on the development of context-aware and privacy-preserving machine learning methods that are robust towards missing data.

Keywords: social signal processing,affective computing,multimedia,social robotics
Exploring the chemical foundations for rocky exoplanets around Sun-like stars (GEOASTRONOMY)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Germany,France
Call: ERC SYNERGY GRANTS (ERC-2024-SyG, 2024)
Start date: 2025-06-01
End date: 2031-05-31
Duration (months): 72.0
Total project cost (EUR): 10076633.0
EU funding (EUR): 10076633.0
Participants: 3
Project status: SIGNED

Billions of rocky worlds likely exist around Sun-like stars in our Galaxy. Yet, attempts to understand these exoplanets lack information on the elements that compose them, the geodynamic processes that drive them, and the atmospheres that cloak them. To meet these cross-disciplinary challenges, three PIs at three institutes have combined forces to break new ground in understanding fully-formed silicate+metal+fluid (i.e. ‘rocky’) exoplanets. By synergizing astronomical data analysis with planetary geochemistry and experimental petrology and atmospheric physics/chemistry, we deviate from a purely theoretical approach via forward modeling. Instead, we blend Bayesian inference applied to telescope data and laboratory experiments with theory. Our thesis is straightforward: An exoplanet’s geologic history can only be decoded indirectly through spectroscopic observations of its atmosphere. To take advantage of remote observations of such atmospheres by next-generation telescopes we must work to understand how and why exoplanets have the physical and chemical properties they do. We devote our closely aligned efforts towards three categories of worlds around Sun-like (FGK) stars well-studied by astronomers: sub-Neptunes (exoplanets smaller than Neptune), Super Earths (exoplanets slightly larger than Earth) and “ultra-short period” (USP) exoplanets that may harbour magma oceans and atmospheres. GEOASTRONOMY fuses principles of the Geosciences with Astrophysics. Our aim is to build the chemical foundations for the exoplanet community to understand secondary (outgassed), hybrid (commingled primary- and secondary-) and magma-ocean atmospheres of already assembled mature rocky exoplanets. The proposed work is urgent because new and emerging datasets, including those being collected by the James Webb Space Telescope, are already providing constraints on these three categories of atmospheres.

Keywords: exoplanet atmospheres,galactic chemical evolution,bayesian inference,experimental petrology
Understanding the Interplay of Human Modeling and Social Intelligence via LLM Simulations (LLMpathy)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 1486073.0
EU funding (EUR): 1486073.0
Participants: 1
Project status: SIGNED

This research project aims to advance the field of social intelligence in Large Language Models (LLMs) by investigating the interplay between human modeling and social behavior. I challenge the current unsystematic approach to social intelligence benchmarking in LLMs and propose a novel framework incorporating personalized mental models and contextual understanding to determine the components with the biggest influence on the discourse. Through a combination of longitudinal psychometric studies, gamified data collection and evaluation, advanced representation learning, and explainable AI techniques, I will investigate the role of fine-grained personal and social context in shaping human and LLM interactions. Through extensive simulations via social LLM agents, combined with data analysis techniques, this research will help to shed light on the relation between psychological traits and processes, their demonstrations in social discourse, and the representation and controllability of these in LLMs, and ultimately contribute to the development of more socially adept and effective LLMs for potential applications in more vulnerable domains such as assisted living or health counseling.

Keywords: large language models llms,computational social sciences,social intelligence in ai,perspective taking,cognitive empathy,representation learning,human factors in ai,llms and personality psychology,situated evaluation of llms,llm reasoning,social intelligence benchmarking,llm personalization,simulative reasoning,mentalizing,perspective taking in ai,representation learning and explainability,socially intelligent llms,longitudinal psychological studies in ai,human language modeling,theory of mind,gamification,llm based social agents
Market Design and Participation: Comprehensive Design for Matching Markets (MADPART)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-11-01
End date: 2029-10-31
Duration (months): 60.0
Total project cost (EUR): 1479414.0
EU funding (EUR): 1479414.0
Participants: 1
Project status: SIGNED

Market Design combines theoretical and empirical methods to design, analyze, and enhance real-world assignment markets. Many of these markets involve limited or no monetary transfers: civil servants (e.g., teachers), daycare placement for children, organ allocation for patients and so on. These markets often interact with external opportunities or themselves over time. For example, a patient in need of a kidney may have multiple treatment options, families must choose from various childcare alternatives, or public school teachers may request multiple transfers throughout their careers. However, we have a limited knowledge about how these multiple opportunities interact with the assignment procedure. Incorporating such options into the design of these markets is challenging due to data limitations as well as the complexity of the models. The MADPART project aims to address these challenges by understanding and improving the design of assignment markets in the presence of outside options. It has two primary objectives: 1) Investigating how outside options discourage market participation and undermine policy objectives, specifically exploring how participation-blind procedures contribute to these losses. 2) Identifying novel and innovative designs that enhance the functioning of these markets. This will be achieved through the combination of advanced theoretical models and cutting-edge empirical methods. The project will leverage unique and novel datasets from four assignment markets: the allocation of public school teachers to schools, children to public daycares, kidneys to patients, and social housing allocation. These markets exhibit dynamic interactions with external options. The outcomes of the project will give a more comprehensive and deeper understanding of assignment markets and potentially lead to significant policy innovations.

Keywords: market design,matching,participation,dynamics
The first true minimally-invasive Spinal Fusion System (zLOCK)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Israel
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-04-01
End date: 2025-03-31
Duration (months): 36.0
Total project cost (EUR): 3184000.0
EU funding (EUR): 2220050.0
Participants: 1
Project status: CLOSED

Over 1M spinal fusion procedures performed annually worldwide. Current spinal fusion procedures are highly invasive: they are based on building “screw-bridges”, connected by metal rods stabilizing motion between vertebrae. There are no effective treatments in the market that substitute the current invasive implants. zLOCK is a small implant that resolves spinal fusion by eliminating the need for screws and rods. zLOCK minimizes the invasiveness of procedures through a percutaneous approach, where only a small skin incision is required for implant placement, making it suitable for outpatient procedures. zLOCK can revolutionize spinal fusion standard clinical practice and the market. The implant value propositions have been confirmed in a first in human trial. With the EIC Accelerator project, ZygoFix will complete the necessary upgrades and clinical validation activities, achieve CE-mark and accelerate the time-to- market of zLOCK.

Keywords: spinal fusion,3d printing,minimally invasive
Governing elites since the dawn of modern democracy (GETGOV)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Norway
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 1499203.0
EU funding (EUR): 1499203.0
Participants: 1
Project status: SIGNED

Ever since humans settled into communities, there have been political classes. A small elite governs, while the majority are governed. Historically, the governing elite has consisted of people from a narrow segment of society, such as aristocrats. However, the rise of democracy may have opened the path to power and changed the incentives of the leader to select governing elites from a broader segment of society. These elites may, in turn, opt for broad-based policies. Nonetheless, many voters today do not think that democracy has delivered on this promise. They indicate that their governments are captured by wealthy elites who do not care about them. So, does democracy result in more representative, diverse, and competent governing elites? Research does not offer a clear answer to this question. GETGOV will make up for this deficit by investigating whether democracy has changed who govern us; and in turn how this impacts the decisions that are made. To do so, it will build an unprecedented database, HistGov. HistGov will provide bibliographic information, such as gender and party affiliation, on individual governing elites globally from 1789 and onward. The project will break new theoretical ground by developing a model of how democratisation changes who governs us. An underlying notion is that democracy makes governing elites look more like the people they govern. Next, the project will use the new database to investigate whether more representative, diverse, and competent elites provide broad-based policies such as mass primary education and better outcomes such as economic growth. This much-needed project will significantly improve our understanding of governing elites. We will know who they are, both historically and up to the present day. Furthermore, it will improve our understanding of why specific people govern us and how they impact our world. This is of pivotal importance in a world where many people feel that their political elites have failed them.

Keywords: democracy,governing elites,political science,quantitative data,social background,sociology,political history,public administration
DC Protection, Security, Control and Optimisation (PROSECCO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Belgium,Germany,Netherlands,France,Spain
Call: Components and interfacing for AC & DC side protection system – AC & DC grid: components and systems for grid optimisation (HORIZON-CL5-2023-D3-03, 2023)
Start date: 2024-07-01
End date: 2028-06-30
Duration (months): 48.0
Total project cost (EUR): 5203400.0
EU funding (EUR): 4999867.75
Participants: 11
Project status: SIGNED

The PROSECCO project brings direct advancements to the maturity level of HVDC grids. Doing so, it aids in realizing Europe's climate goals for 2050. Meshed HVDC grids is a key technology to integrate offshore wind and to upgrade the European power system. As such, the future power system will be a hybrid AC/DC grid where the HVDC grid seamlessly integrates with AC systems. PROSECCO addresses innovation needs in grid protection near HVDC converters and congestion management for hybrid AC/DC grids. PROSECCO utilises Model Based System engineering to have a consistent approach that is vendor neutral from design. It will advance research on (HVDC) grid protection, focusing on harmonized specifications, improved testing, multi-vendor integration, enhancing grid stability and selective protection. In congestion management, the project develops power flow schedulers, power flow control hardware, and holistic cost-benefit analysis tools. PROSECCO will mature hybrid AC/DC grids through 4 different demonstrators across three EU member states, namely (1) unique test equipment for DC relays (2) DC protection relays being installed in actual DC grids (3) a full scale DC power flow controller and (4) software to evaluate the cost-effectiveness of protection and congestion management solutions. The project also contributes to international standardization and builds confidence in TSOs, educates power system engineers, and provides recommendations to ENTSO-E.

Keywords: meshed hybrid grids,grid protection,congestion management,hvdc,
Investment Migration: Patterns, Natures, and Trends (IMS12)

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: Social Sciences and Humanities
Countries involved: Malta,Austria
Call: ERA Fellowships (HORIZON-WIDERA-2023-TALENTS-02, 2023)
Start date: 2025-01-01
End date: 2026-12-31
Duration (months): 24.0
Total project cost (EUR): 177251.52
EU funding (EUR): 177251.52
Participants: 2
Project status: SIGNED

Foreign direct investment (FDI) flows are conducted by INDIVIDUAL investors (abbreviated as IFDI), which have been strongly promoted by Immigrant Investor Programs (IIPs). Twenty-one out of twenty-seven of the member states of the European Union (EU) establish IIPs to attract wealthy investors in order to receive investment capital; change the economic structure and social status of undeveloped regions, make a name for the country on the international market, and as an economic diplomacy strategy. While the FDI motivations of enterprises have been extensively studied; the motives of IFDI remain undeveloped. This limitation is certainly a missing puzzle piece in the scientific world, causing a lack of a theoretical basis to explain a real phenomenon. Simultaneously, demand-side motive ambiguity might impact the design of IIPs, leading to their inefficiency. Governments also lack a base to take a consistent stance on IFDI. This proposal aspires to provide a scientific and practical basis to fully understand the variation of IFDI, thereby aligning policy with its evolution. The overall aim is to develop the patterns of IFDI, its nature, and trends. Qualitative research methods with a variety of tools, mainly based on naturally occurring data associated with the opinions of the participants - knowledge co-producers. Two theoretical frameworks are developed: IMS12 to identify the drivers and nature of IFDI and VIRA to forecast IFDI. The results of this project, in addition to fulfilling its own objectives, will also serve as the foundation for further research in several scientific fields such as economics, sociology, and politics. This project is expected to run for 24 months and is hosted by the University of Malta in Malta, including a 4-month secondment at the University of Graz, Austria.

Keywords: individual foreign direct investment,ifdi,immigrant investor,patterns,nature,trends
Secure and Efficient Chipset for Uninterrupted Reliable Connectivity in Europe (SECURE-E)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: Germany
Call: Enabling the smart edge (HORIZON-EIC-2024-ACCELERATOR-02, 2024)
Start date: 2024-12-01
End date: 2026-11-30
Duration (months): 24.0
Total project cost (EUR): 3561875.71
EU funding (EUR): 2493313.0
Participants: 1
Project status: SIGNED

Last Mile Semiconductor (LMS) is revolutionizing IoT connectivity with our innovative, low-cost, ultra-low-power wireless chipset. Combining the high performance of cellular 5G networks the efficiency of Bluetooth, our chipset operates on the new non-cellular 5G DECT NR+ standard, ensuring long-range connectivity up to 6 km, data rates up to 10 Mbps, and ultra-low latency without the need for middle operators. Developed in collaboration with industry leaders and tailored to the needs of our customers, our chipset is set to transform the European IoT landscape. With an emphasis on digital sovereignty and environmental sustainability, our solution supports the massive deployment of IoT and contributes to Europe's economic growth.

Keywords: telecommunications,semiconductor design,wi fi,bluetooth,dect nr,5g,6g,iot,smart city
CyaSafe: Bridging Gaps in Cyanobacteria Supplement Safety (CyaSafe)

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: Portugal,Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-01
End date: 2027-10-31
Duration (months): 24.0
Total project cost (EUR): 191343.12
EU funding (EUR): 191343.12
Participants: 2
Project status: SIGNED

Food security and nutrition challenges, driven by population growth and climate change, underscore the need for sustainable solutions, leading to increased consumption of cyanobacteria-based supplements like Spirulina sp. and Nostoc sp. While these cyanobacteria are nutritionally rich, they may also produce potentially harmful secondary metabolites, including cyanotoxins. The presence and bioavailability of these compounds depend on factors such as cell wall integrity and metabolic transformation in the digestive tract. Current safety evaluations are insufficient, lacking comprehensive data on bioavailability and toxicological impacts. The CyaSafe project aims to bridge critical knowledge gaps in the safety and efficacy of cyanobacteria. The specific aims are as follows: first, through in vitro studies simulating human digestion, CyaSafe will assess how cyanobacterial metabolites are absorbed and transformed. Second, comprehensive toxicological testing will be performed to evaluate cytotoxicity and genotoxicity, establishing new safety benchmarks. Third, the project will utilize research findings to propose updated technical recommendations, improving regulatory frameworks for these supplements. In addition to its research objectives, CyaSafe will emphasize knowledge transfer and public awareness to foster a better understanding of the risks and benefits of cyanobacteria-based products. The project will be conducted at the Interdisciplinary Centre of Marine and Environmental Research of University of Porto, a leader in Marine and Environmental Research. A planned secondment with expertise in Toxicology and Food Safety, will facilitate the interdisciplinary collaboration and knowledge exchange. Through addressing research gaps, improving safety standards, and raising public awareness, CyaSafe aims to protect public health, build confidence and ensure the safety of cyanobacteria-based supplements.

Keywords: cyanobacteria,food supplements,bioavailability,bioaccessibility,metabolomics,safety,bioactive compounds