Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Biosolutions for Denim Dyeing within the Planetary Boundaries (GREENDIGO)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Italy,Finland,Denmark,Netherlands
Call: EIC Pathfinder Open (HORIZON-EIC-2025-PATHFINDEROPEN, 2025)
Start date: 2026-04-01
End date: 2030-03-31
Duration (months): 48.0
Total project cost (EUR): 2999145.0
EU funding (EUR): 2999145.0
Participants: 4
Project status: SIGNED

The global denim industry, producing over 3 billion pairs of jeans annually, is one of the most chemically intensive sectors in textiles. Conventional indigo dyeing relies on fossil-derived synthetic indigo and toxic reducing agents such as sodium hydrosulfite, resulting in widespread water pollution, hazardous working conditions, and high energy and chemical input. GREENDIGO aims to revolutionise this process by developing the first fully enzymatic, biobased dyeing method for denim that is scalable, safe, and sustainable. The project will replace conventional indigo with a water-soluble precursor, which can be adsorbed onto cotton fibres under mild aqueous conditions. A specific enzyme will catalyse its in-situ conversion to indigo directly on the fabric, eliminating the need for harmful reductants and enabling a cleaner, circular textile value chain. GREENDIGO will combine cutting-edge enzyme engineering, synthetic biology, and textile chemistry with advanced sustainability assessment to ensure the process is economically viable, environmentally safe, and aligned with planetary boundaries. The project applies the EC’s Safe and Sustainable by Design (SSbD) framework from the outset and integrates life cycle analysis, ecotoxicity testing, and absolute sustainability modelling. Outcomes will be benchmarked against current practices, with particular attention to emissions, resource use, and scalability. If successful, GREENDIGO will lay the scientific and technological foundation for a new class of biosourced textile dyes, enabling the reindustrialisation of denim dyeing under strict environmental standards. The project supports key EU priorities, including the Green Deal, the EU Strategy for Sustainable and Circular Textiles, and zero pollution targets.

Keywords: enzymatic dyeing,biocatalysis,textile biotechnology,safe and sustainable by design,absolute sustainability,circular textiles,denim dyeing,sustainable textiles
Algorithms for Structural Variation Analysis in Challenging Genomic Regions (ASVA-CGR)

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: Slovakia
Call: ERA Fellowships (HORIZON-WIDERA-2023-TALENTS-02, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 149219.52
EU funding (EUR): 149219.52
Participants: 1
Project status: SIGNED

Structural variations are genomic alterations affecting portions of the chromosomes longer than 50 base pairs. These alterations are a main contributing factor to human diseases and different types of cancer. The main limitation of current approaches for the analysis of structural variations lies in their unreliability in characterizing these alterations in repetitive and hard-to-call regions of the genome. Structural variations falling in these regions can not be routinely detected and their significance is still unknown. In this proposal, we aim to develop novel computational approaches to address the challenge of fully characterizing structural variations in these hard and still uninvestigated regions. By developing accurate tools for comprehensive detection of structural variations, we aim to increase our current knowledge of this class of genetic alterations. Moreover, by designing new benchmarking methodologies, we will provide a more accurate evaluation of our as well as other tools. This will also assist the development of new generations of tools able to accurately characterize structural variations that are currently unknown. We will employ a multi-faceted strategy that is not limited to a single sequencing technology. By combining data coming from different sequencing technologies and ideas coming from alignment-based, assembly-based, mapping-free, and pangenomic-based approaches, we will be able to take a significant step towards the complete characterization and analysis of structural variations. The development of new tools and the planned collaboration with biology-oriented research groups will enhance our understanding of the impact of structural variations on human health, diseases, and cancer and hence improve clinical diagnostics and pave the way for personalized medicine.

Keywords: structural variations,sequence analysis,string algorithms,pangenomes,sequencing
The Higher Structure of Symmetries (HIGH)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Sweden
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-09-01
End date: 2030-08-31
Duration (months): 60.0
Total project cost (EUR): 1999259.0
EU funding (EUR): 1999259.0
Participants: 1
Project status: SIGNED

Quantum field theories (QFTs) are among the most powerful tools of modern theoretical physics, with wide applications from condensed matter to elementary particle physics, phase transitions, and quantum gravity. Over the past decade, and with tremendous progress over the past two years, QFT is undergoing a revolution: a generalized notion of symmetries, capable of giving conserved quantum numbers to extended field configurations, has emerged. Generalized symmetries are radically changing many aspects of the formalism, with applications ranging from the stability of impurities and defects in condensed matter systems, to the physics of hadrons in the standard model, as well as to the structures of phases. The hallmark of generalized symmetries is their higher structure, which encodes much more refined and sophisticated information about the QFT than that of ordinary symmetries. The goal of this reaserch proposal is to consolidate my research team, which will be devoted to develop and exploit the higher structure of symmetries to attack foundational open questions about QFT. In particular, in this project we will exploit the higher structures to obtain novel selection rules on QFT correlators, to constrain the behavior of quantum fields upon phase transitions and dualities, and most importantly to give new tools to study the behavior of QFTs across different energy scales along the flow of renormalization. To this end we are exploiting two different strategies. Firstly, we capitalize on the description of generalized symmetries as topological membranes, which allows the characterization of the higher structure via QFT correlators and topological field theory techniques. Secondly, we use a combination of tools ranging from dualities to higher dimensional QFT, and strings geometry, to probe regimes that are out of reach of more conventional methods. These strategies are complementary and intertwined.

Keywords: symmetries,quantum field theory,geometric engineering,superconformal
DISTRIBUTED MULTI-SENSOR SYSTEMS FOR HUMAN SAFETY AND HEALTH (DistriMuSe)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Chips for Europe Initiative
Action type: Research and Innovation actions
Partnership: CHIPS (JU-JTI)
Countries involved: Finland,Spain,Italy,Germany,Czechia,Belgium,Netherlands
Call: Global call according to SRIA 2023 (RIA) (HORIZON-KDT-JU-2023-2-RIA, 2023)
Start date: 2024-05-01
End date: 2027-04-30
Duration (months): 36.0
Total project cost (EUR): 34764816.0
EU funding (EUR): 11274522.51
Participants: 53
Project status: SIGNED

We are surrounded by a variety of more-or-less intelligent technical devices, designed to serve you us or others. Applications onin your mobile phones, wrist-worn health sensors on your wrists, autonomous vacuum cleaners, robots on the factory floor and increasingly autonomous cars – all pledge to ease your tasks and keep usyou safe and healthy. SThe seamless interplay with these devices gets gainsmore importane as these devices proliferate and grow in t with the increased autonomy and pervasive presence of the devices. We expect continuously available support fromin the services they provide − yet we want them to disappear unobtrusively in the background when not needed. In order to provide support in a collaborative environment with human, physical and digital players, the technology needs to be equipped with senses to grasp human presence, their mental and physical state, their activities and their intentions. This is required to ensure human safety, safeguard their health, and allow for natural interaction. This project intends to improve sensing of human presence, behaviour and health in a collaborative or common environment by means of multi-sensor systems.

Keywords: human monitoring,distributed intelligence,edge computing,remote sensing,perception sensors,elderly monitoring,sleep monitoring,driver monitoring,vru monitoring,robotics interaction
Informational Citizenship: Toward a Global Ethnography of Practices and Infrastructures of Datafication in the Global South (InfoCitizen)

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: Belgium
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-07-01
End date: 2028-06-30
Duration (months): 60.0
Total project cost (EUR): 1499931.0
EU funding (EUR): 1499931.0
Participants: 1
Project status: SIGNED

Data has been extolled as the new frontier of development. Whereas western elite actors have contested big data for its flattening of social life and information extraction, grassroots initiatives have been championing big data to promote citizen rights, improve state accountability, and reduce inequality. InfoCitizen will: (1) study the citizenship practices and technologies coalescing around model initiatives to produce and circulate data in the Global South. We contend that for favela residents in Brazil, ethnic minorities in Portugal and Germany, and poor citizens in Tanzania and Kenya, far from splintering and prying, data has the potential to promote cultural change, political identity, and economic wellbeing via “better,” “faster,” and “more reliable” public and private statistics. (2) blend insights from the social studies of quantification, the anthropology of data, and citizenship studies to grasp data produced by experts and citizens across top-down and bottom-up data ecosystems. Via the concept of informational citizenship, we will illuminate the politics (infrastructures, epistemologies, visibilities) and poetics (experiences, socialities, and affects) of datafication, their impacts on law- and policymaking, and their effects on individuals, communities, and institutions in Brazil, Portugal, Germany, Tanzania, and Kenya. (3) combine archival, digital, audiovisual, and quanti-qualitative methods to unpack the tools—censuses, smartphones, policy reports—and actors—NGOs, data labs, legal commissions—crystallizing in the wake of grassroots numbers. We propose a global and comparative ethnography of datafied subjectivities and their interplay with transnational networks of expertise—such as think tanks, governments, and businesses. (4) generate applied and analytical research and a unique database of quantification tools and practices to critically probe the imaginaries, contingencies, materialities, and spaces of data for radical democratic change today.

Keywords: quantification statistics numbers technopolitics development inequality infrastructure information top down data bottom up data datafication citizenship subjectivity affects ethnography digital humanities comparison global south latin america africa brazil portugal germany tanzania kenya
Improving Digital Mental Health Interventions: ENGAGEment as Mechanism of Impact (ENGAGE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Netherlands
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): 1499590.0
EU funding (EUR): 1499590.0
Participants: 1
Project status: SIGNED

Millions of people struggle with mental health issues, such as depression and anxiety. Effective treatments exist but are not within reach of everyone due to limited resources. Digital Mental Health Interventions (DMHIs), in which treatments are delivered by using technology via the Internet and apps, can be a solution. However, high rates of drop-out and large individual differences in outcomes make them not yet an adequate solution. Due to scarce process research, with a largely mono-disciplinary focus and reliance on group-level studies, we have limited insight into how to match DMHI components to individuals. In ENGAGE, I tackle these issues by proposing that engagement is the mechanism of impact that provides the missing link between the intervention components and individual outcomes. Earlier research has shown that engagement is a multidimensional and interdisciplinary concept consisting of behaviour, cognition, and affect. I have developed a first scale to measure engagement, shown individual differences and have shown individual engagement is predictive of outcomes. However, the developed scale is a rudimentary way of measuring engagement using self-report at fixed time-points and as a one-dimensional construct. Consequently, we have only a basic understanding of engagement which does not do justice to its complex multidimensional nature. ENGAGE will yield the following insights and outcomes: A fine-grained understanding and measurement of real-time engagement, showing the relationship between the dimensions, both on an individual level and over time. Expanding the toolbox of intervention designers to directly influence the individual mechanism of impact, by identifying and analysing the effect of strategies which influence individual engagement with DMHIs. Verification of engagement as mechanism of impact within DMHIs, by studying the relationship between intervention components, engagement, and outcomes within personalised and adaptive DMHIs.

Keywords: digital health interventions engagement process evaluation mental health wellbeing
Training Alone to Play Together App (TAPTAPP)

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: Austria
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-06-01
End date: 2023-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Making music together requires not only individual skills and musical expertise, but the ability to coordinate one's actions with others. Typically, musicians try to improve their joint performances by practicing together. However, musicians encounter two kinds of obstacles when trying to improve their joint music making skills. One obstacle is the lack of sufficient opportunities for joint rehearsal. The other obstacle is the lack of research-guided exercises that would allow for learning transfer across pieces, partners, and different coordination problems. Based on the results of an ERC Consolidator project investigating the behavioral, cognitive, and neural mechanisms involved in joint action learning, we propose to develop an app that allows musicians at any level of expertise to improve their joint playing skills. Two aspects of the app make it possible to overcome the typical limitations of joint practice: First, with the knowledge gathered during the ERC Consolidator project we will be able to program virtual partners with whom musicians can train their ensemble skills individually outside of resource intensive joint rehearsals. Second, the app will focus on training the ability to flexibly shift between self-other integration and self-other segregation, which is a high-level skill with a large potential to generalize to a wide range of pieces and playing styles. The app will be web-based and freely accessible to a large pool of users. Its effectiveness will be thoroughly tested in the lab and in the field to assess its value for musicians playing in smaller and larger ensembles. As the first app directly training joint music making, TAPTAPP will provide new opportunities for musicians and has the potential to transform music education.
Autonomous aerial inspection of GNSS-denied and confined critical infrastructures (AUTOASSESS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Denmark,Norway,Germany,Netherlands,Belgium,Cyprus,Switzerland,Greece,Ireland
Call: Increased robotics capabilities demonstrated in key sectors (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2022-DIGITAL-EMERGING-02, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 10061182.5
EU funding (EUR): 8990161.5
Participants: 16
Project status: SIGNED

The >50k large vessels across the world must be regularly monitored for corrosion and defects by human surveyors, including dangerous and dirty confined GNSS-denied areas such as ballast water tanks and cargo holds. One person is killed every week from accidents in these enclosed spaces, which despite having large surface areas, consist of many smaller, confined compartments with narrow passages (40cmx60cm). However, a radical new approach is possible using unmanned aerial systems (UAS or drones), by combining the latest developments in (1) collision-tolerant UAS, (2) multi-modal SLAM, (3) path planning, (4) autonomous drone racing, (5) aerial manipulation, (6) miniaturized NDT sensors, and (7) ML-based defect identification. Only through a complete integration of these technologies is it possible to address the challenges of deploying aerial robots in these challenging conditions. Equipped with automated AI-based scanning, mapping, navigation and contact-based NDT, this has the potential to completely remove the need for human inspection. Using a digital twin approach brings “superhuman” results: comprehensive semantic-aware detailed 3D mapping (1 cm resolution) of large structures (>300 m), high resolution visual and NDT analysis (100um) and improved traceability with automatically generated trend analysis. The ML for system mapping and NDT is trained with sociotechnical inputs from experienced human inspectors. Currently, a typical inspection costs >1M€ and requires 15 days (8 days inspection and 7 days travel to low cost Far Eastern docks). A UAS-based inspection will take 1 day, with 1-2 days travel to an EU port at a cost of 200k€, saving the industry >9B€ p.a. with 2.4MT of CO2 reduction. This consortium includes many of the world leaders in the field of UAS-based inspection teamed with vessel owners and inspectors, enabling an end-to-end survey solution which would save 50 lives/yr, and provide safer, more reliable, and accurate inspection data.

Keywords: autonomous robotic inspection,autonomous navigation in gnss denied confined spaces,domain adaptive and probabilistic deep learning,digital twin,historical defect evolution,decision support
Agoprene - biofoams for the future furniture (WoTe-Agoprene)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Norway
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-06-30
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Agoprene develops furniture foam from biomass to help the furniture industry reduce the need for petrochemicals. By combining biomass from plants such as seaweed and wood waste, we have developed a furniture foam with zero petroleum. The idea came to life in November 2019, after a long research within the field of biomaterials. We learned that petroleum is a by-product of degraded biomass over time (this might be common knowledge to others), and that this enables us to produce the same materials from plant-mass as petroleum. The end-product is somewhat different when composed from crude oil because it has been converted over geological time, but in principle we can make the same products. That is exactly what Agoprene is doing.

Keywords: bioinnovation,biomaterials,seaweed,bioplastic,foam