Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
From Silk to Sealant: The Production of an Enhanced Biomedical Silk Glue Biopolymer from Genetically Engineered Silkworms (GEMSilk)

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: Life Sciences
Countries involved: Germany,United Kingdom
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-08-01
End date: 2026-07-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 2
Project status: SIGNED

Advancements in post-surgical healing are a major topic in biomedical science and require innovations in materials science. In many medical procedures, current medical glues are more efficient than traditional sutures but they still lack sufficient wet-tolerant adhesive strength. Biopolymers are naturally derived and biocompatible, and present enormous potential for applications such as tissue glue. To address the adhesive challenge, we propose GEMSilk, an innovative and interdisciplinary framework integrating analytical techniques of material science with genetically engineered silk glue. Our key objective is to develop a caddisfly-derived and inherently wet-tolerant aquatic silk glue recombinant protein expression system in the domestic silkworm (Bombyx mori). Utilising CRISPR/Cas9, caddisfly aquatic silk glue DNA motifs will be inserted into the silkworm's silk gene, the resulting stable mutant lines will produce commercial quantities of wet-tolerant silk glue. By training through research and a secondment at the lab of supervisor Seib’s collaborator, I will gain essential, state-of-the-art skills in novel silk biopolymer design and silk analysis. Moreover, the silk glue product will undergo intellectual property evaluations with Seib, further augmenting my professional skill set with this essential process and the potentials beyond GEMSilk will also be assessed. During GEMSilk, I will gain substantial and rigorous training in silk analysis and essential assays for silks based healthcare. I will be located at Fraunhofer-IME's new world-class multi-disciplinary applied insect biotechnology research institute. Over the past months, Seib and I have honed GEMSilk. Combining Seib’s profound experience in silk analysis for healthcare with my skills in silkworm genetic engineering, not only promises to elevate my career through advanced training and project management but also to develop a game-changing silk-based product for biomedical applications.

Keywords: biopolymers,recombinant protein expression,crispr,bombyx mori,biotechnology
Ion Flow in Microfluidics with Liquid Crystal Elastomer Actuators (IonFlowElast)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-15
End date: 2027-11-14
Duration (months): 24.0
Total project cost (EUR): 217076.16
EU funding (EUR): 217076.16
Participants: 1
Project status: SIGNED

Microfluidic devices consist of microscopic channels designed for precise fluid control. Their small size ensures laminar fluid flow, enabling the controlled transport of dissolved substances with applications in energy harvesting, desalination or even novel computing paradigms. However, the typical rigid network of channels greatly restricts their adaptability, and consequently, there is growing interest in developing time-evolving microfluidic systems, that can function as pumps, valves and mixing units. This requires a deeper understanding of fluid flows in dynamic environments and the development of stimuli-responsive materials for microfluidic walls. A highly promising approach involves the use of Liquid Crystal Elastomers (LCEs), which can change shape when stimulated. By incorporating LCEs into the walls of microfluidic devices, these systems can become responsive. The shape morphing can then be applied in microfluidic pumps and valves, two components required to achieve a fully integrated lab on a chip. I propose to pioneer the use of LCEs in responsive microfluidics and to deepen our understanding of the intricate non-linear dynamics between channel shape and conductivity. I will perform numerical simulations of the capabilities of LCEs in shape morphing microfluidic channels. I will then take the shape morphing channels and use the Lattice Boltzmann Method to simulate the transport of fluid and dissolved ions inside shape morphing channels. This will allow me to understand how to use LCEs in a microfluidic channel that, when stimulated, exhibits peristaltic motion or blocks the fluid flow. The project enables bidirectional knowledge transfer: the host’s expertise in liquid crystals will be instrumental for modeling LCEs, while my expertise in fluid dynamics will contribute to understanding transport in shape-morphing channels. This collaborative effort is crucial for advancing new bottom-up approaches in nanotechnology, aligning with European priorities.

Keywords: liquid crystals,elastomers,microfluidics,transport phenomena,phase transitions,responsive materials,coarse graining
The trophic ecological changes of protecting marine ecosystems: Accounting for protection-induced fear (PETRIFY)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-02-01
End date: 2028-01-31
Duration (months): 24.0
Total project cost (EUR): 194074.56
EU funding (EUR): 194074.56
Participants: 2
Project status: SIGNED

Fishing is one of the greatest threats to marine ecosystems, especially in coastal areas, where its impacts, combined with other human activities profoundly alter ecosystem dynamics. Moreover, climate warming exacerbates these effects and poses additional stress that will increase in the following years. Marine Protected Areas (MPAs) have been established to mitigate these impacts and promote ecosystem resilience by safeguarding specific regions, yet their capacity to buffer the effects of climate warming remains uncertain. While Marine Ecosystem Models (MEMs) are frequently employed to assess the impacts of MPAs under various climate change and fishing scenarios, they rarely account for the behavioral responses of species to protection, which remains a critical scientific gap. This project aims to address this question by investigating the trophic ecological effects of no-take MPAs on fish populations using an interdisciplinary approach that combines fieldwork, laboratory analyses, and advanced ecosystem modeling. A key focus will be on understanding how protection influences fish behavior through the concept of "landscapes of fear," where predation risk alters prey behavior and trophic interactions. Additionally, the project will develop a novel modeling framework to accommodate dietary flexibility within MPAs, allowing for more accurate projections of biomass trends under various climate change and fishing scenarios. By exploring these dynamics in both the Mediterranean Sea and the Atlantic Ocean, the research will offer critical insights into how MPAs can mitigate the effects of climate change and enhance ecosystem resilience. Hosted by the Institute of Marine Sciences (ICM-CSIC) and in collaboration with AZTI-BRTA, this project will contribute valuable knowledge to inform sustainable management strategies for marine conservation.
Artificial Intelligence in Manufacturing for Sustainable Applications at SMEs (AIRISE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Greece,Netherlands,Belgium,Spain,France,Germany,Czechia,Lithuania,Bulgaria,Hungary,Norway
Call: ICT Innovation for Manufacturing Sustainability in SMEs (I4MS2) (Made in Europe Partnership) (IA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 7738776.25
EU funding (EUR): 7738776.25
Participants: 15
Project status: SIGNED

The AIRISE project will support European SMEs in the uptake of Artificial Intelligence applied to manufacturing, with a specific focus on the use of AI-enabled applications at the edge. The key objective for applications is a reduction of waste and carbon footprint while ensuring the resilient operation of manufacturing. The consortium will create an eco-system where the project’s AI experts will support experimenting SMEs and connect them to Digital Innovation Hubs and commercial companies to achieve real-world applications. Open Calls will allow SMEs to easily access AI expert competence through first-stage assessments that identify the status and potential and through further proposals that support them in running pilot applications and validation experiments. The ambition of AIRISE is to support more than 500 cases from SMEs and mid-caps on key AI applications at the edge. Support from the consortium will be complemented on security and connectivity by involving external resources in cybersecurity and IoT and on smart working environments by offerings on operator interfaces and collaborative robots.

Keywords: smes artificial intelligence
Studying the Earth's surface with seismic methods (EnvSeis)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany,Spain,France,Israel,Norway,Sweden,Switzerland,Greece
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 2744560.8
EU funding (EUR): 2744560.8
Participants: 23
Project status: SIGNED

EnvSeis will train 12 early stage researchers (ESRs) in the emerging field of environmental seismology, in which seismic methods are used to study processes at or near the Earth's surface, such as landsliding, river sediment transport, debris flows, and glacial processes. Seismic techniques allow addressing challenges in the Earth surface sciences that are intractable by traditional observation methods. The capacity of environmental seismology has been proven, and first applications have been published. Yet, most current research in this field is conducted either by seismologists with an interest in Earth surface processes, or by Earth surface scientists who learned basic seismic methods. The DN EnvSeis will fully leverage the potential of environmental seismology by fusing these complementary perspectives. Bringing together 10 leading research groups from 7 countries, EnvSeis will train 12 ESRs in both seismology and Earth surface sciences, to lay the ground for a next strong generation of environmental seismologists. In their projects, the ESRs will address outstanding challenges in natural hazards, hydrology, geomorphology, and ocean sciences, applying seismic techniques to study a broad range of landscapes and their processes, including hillslopes, channels, glaciers, coasts and oceans. They will combine observation, theory and numerical modelling to conduct ground-breaking science, to develop new methods and software, and deliver benchmark data sets. As such, they will set standards for using seismic methods in the Earth surface sciences in Europe and beyond, establishing Europe as the leader in this newly emerging field. Complementary training includes the involvement of stakeholder and media partnerships, experience in organizing conferences and workshops, as well as courses on transferable skills. This will allow the ESRs to acquire a broad range of skills and experience to make them competitive for careers in research, industry, or public administration.

Keywords: environmental seismology
VERSATILE AND DIRECT E-FUEL AND FERTILISER GENERATION FROM RENEWABLE ELECTRICITY (VERGE)

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: Research and Innovation actions
Countries involved: Iceland,Germany,Belgium,Estonia,Greece
Call: Next generation of renewable energy technologies (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 3195226.25
EU funding (EUR): 3195226.25
Participants: 8
Project status: SIGNED

The VERGE project will develop a disruptive & distributed renewable energy technology that will directly utilise intermittent renewable energy to produce liquid ammonia from air and water. Synthesising ammonia with renewable energy can both replace the current fertiliser production, and facilitate the emerging eFUEL market by providing an energy carrier, e.g. for maritime. Current greenhouse gas (GHG) emissions from ammonia fertiliser production and maritime fuel consumption constitute about 1% and 3% of total GHG emissions, respectively. Avoiding these emissions would contribute towards the transition to a net-zero GHG emissions in the EU economy by 2050. Starting at TRL2 with realistic goals to reach TRL4 by the end of the project, the VERGE technology will: A) Optimise the electrolytic system for nitrogen reduction and demonstrate ammonia synthesis through an inter-laboratory study with the realistic measurable goals of a reaction rate 1*10-9 mol/s/cm2, current efficiency of 50% and at least 300 h stable operations. B) Design the process for optimised operations with intermittent energy sources to produce liquid ammonia. The VERGE project will create knowledge and scientific proof of its technical feasibility as well as lay the basis for economical, sociological and environmental optimisation of the process. Frequent communication with stakeholders allows the VERGE project to develop a clear vision towards optimisation, scale-up and market entry as well as further enhancing the EU innovation base in the field of electrochemical processes. The VERGE project will be carried out by a consortium from five European countries, composed of two universities, a tech transfer institute, two large companies, a LCA consultancy and last but not least, an SME for future scale-up and exploitation. Each consortium member has demonstrated excellence in its fields, with high impact publications, exceptional customer service and a history of international project participation.

Keywords: electro catalysis nitrogen reduction reaction liquid ammonia gas diffusion electrodes anion exchange membrane process system engineering electricity to chemicals versatile production process
Planetary stewardship in view of Earth-Space sustainability (PLANETSTEWARDS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-03-01
End date: 2029-02-28
Duration (months): 60.0
Total project cost (EUR): 1499625.0
EU funding (EUR): 1499625.0
Participants: 1
Project status: SIGNED

Space-based satellite infrastructures have become indispensable for daily activities on Earth. These opportunities are shaped by an increasing number and variety of actors: from hegemonic rivalry among leading nation states to competition between billionaire companies to build satellite constellations. The rapid expansion of Space activities has led to growing Space debris that challenges the long-term sustainability of the Earth’s orbit. These developments are furthermore causing global injustice in particular in terms of uneven development as countries grow increasingly reliant on Space infrastructures. Addressing the interrelations of Earth- and Space sustainability is therefore an imminent global challenge. I argue that understanding these rapid developments in Space should be informed by the concept of planetary stewardship, i.e. the ambitions construed by actors to control large-scale system development on Earth and in Space. Spelling out the conditions and mechanisms of sustainable planetary stewardship will enable the formulation of new governance approaches for Earth-Space sustainability. PLANETSTEWARDS will break new ground by theorizing planetary stewardship at the interface of sustainability transitions, economic development, and global governance literatures. I will investigate four main stewardship approaches: state-centric, market-centric, global community-centric, and technocratic approaches. I will i) identify actors’ value orientations and strategies; ii) analyze processes and mechanisms of stewardship within and across manifold socio-technical systems; and iii) determine possible outcomes of stewardship across different contexts. Based on a comparative, embedded case study design, and combining text-based data from multiple document stocks and interviews, I will conduct in-depth process tracing using discourse-based network analysis. PLANETSTEWARDS will derive principles-based stewardship frameworks for future Earth-Space sustainability.

Keywords: sustainability transition socio technical system innovation deep transition earth system governance
Logic-Driven Efficient Computing and Analysis of Deep Neural Networks on Hardware (LogiNet)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
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): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Deep neural networks (DNNs) have achieved great breakthroughs in many fields. However, DNNs require massive multiply-accumulate (MAC) operations and their execution on digital hardware causes formidable energy consumption. State-of-the-art solutions are still focusing on simply accelerating MAC operations in DNNs instead of examining their actual logic functions after training. The blind execution of massive MAC operations in inference, however, poses critical risks to performance and energy sustainability of AI systems. It also misses the opportunity of examining internal decision-making processes of DNNs for their verification in reliability-critical systems. To address these challenges, LogiNet explores a new perspective to study the execution of DNNs on hardware with their logic representations and high-level expressions, thus opening a new door for design methodologies to realize high-performance and low-energy DNN computing for a wide range of scenarios from edge devices to data centers. The high-level expressions of DNNs can also be used to analyze the properties of DNNs and thus contribute to the understanding of their actual functions. Specifically, LogiNet extracts logic representations of DNNs by embedding pretrained weights into the circuits of MAC operations to reduce data movement and computational complexity. This also constructs a bridge between MAC operations and their high-level expressions, which can be compiled and executed by CPUs and thus enable a flexible scheduling of DNN operations in modern heterogeneous computing systems. Furthermore, LogiNet explores the analysis of DNN properties such as hardware reliability and fairness in decision-making using high-level expressions. In short, LogiNet not only develops new solutions for green AI to benefit economy and environment but also lays the foundation for new directions such as logic-based DNN validation in the era of large-scale models that have started to influence our society fundamentally.

Keywords: design methodologies for digital hardware acceleration of neural network inference efficient inference of neural networks on digital hardware digital logic circuits of neural networks
SST Sensors and Processing. Horizon Europe TOP4 (HE_EUSST_SP_TOP4)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Cluster 4 other
Destination: Other Digital, Industry and Space destinations
Action type: Innovation actions
Countries involved: Austria,Czechia,Germany,Denmark,Finland,France,Latvia,Netherlands,Poland,Portugal,Romania,Sweden,Greece,Italy,Spain
Call: HORIZON-CL4-SSA-SST-SP - SST Sensors and Processing (HORIZON-CL4-2023-SSA-SST-ART195, 2023)
Start date: 2023-07-01
End date: 2026-06-30
Duration (months): 36.0
Total project cost (EUR): 141642752.91
EU funding (EUR): 25000000.0
Participants: 20
Project status: SIGNED

This Horizon Europe grant is to be understood within a wider context on EUSST, where other grants are being executed simultaneously with the common objective of improving the EU autonomy on Space Surveillance and Tracking. In particular, this TOP focuses on: - R&I activities are necessary in the sensor domain, both for radiofrequency (i.e., radars, etc.) and optical sensors (i.e. telescopes and innovative wide field optical sensors).. - Contribution to a consolidated and efficient EUSST sensor function. - Improve coverage area, geographical location and performance they can offer: - Ensure an optimum evolution of the configuration and use of the EUSST sensors network - Improved integration and connectivity of value added sensors, ensuring their compliance to the minimum quality requirements (including protocols, procedures, formats and calibration status). Based on the architecture and added value analysis carried out by EUSST, the following assets will be upgraded: - CZ_Shot (tracking telescope in Europe) - ES_S3TSR (surveillance radar in Europe) - FR_GRAVES (surveillance radar in Europe) - FR_GRAVES_NG (surveillance radar in Europe) - FR_TAROT (survey&tracking telescope) - GR_Kryoneri2 (tracking telescope in Europe) - GR_Baker_Nunn (survey telescope in Europe) - PT_Radar (tracking radar in Europe) - PT_SURV (survey telescope in Ocenania)

Keywords: eusst,sst,partnership,front desk,services,assets,sensors,radars,telescopes,lasers,catalogue,users,collision avoidance,re entry,fragmentation,survey,tracking,autonomy