Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Link4Skills (Link4Skills)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: Poland,Austria,Canada,Netherlands,Germany,Ghana,Morocco,Ukraine,Philippines,India
Call: Global Shortages and Skill Partnerships (HORIZON-CL2-2023-TRANSFORMATIONS-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 2999350.0
EU funding (EUR): 2999350.0
Participants: 14
Project status: SIGNED

Link4Skills is a global research and innovation project on skill shortages. The acronym reflects the objectives of the call by linking for/4 fair skill matching. It embeds 4 processes of responding to skill shortages: re/up skilling of established populations (incl. migrants and inactive women), raising wages, automation and migration. It considers 4 continents: Europe, Africa, Asia and America, where skill shortages and skill flows will be analysed. It develops the AI-Assisted Skill Navigator for stakeholders from employment, vocational training organisations in origins and destinations. Link4Skills will scrutinize: (a) how to identify the existing and emerging required skills in changing labour markets?; (b) how the EU should respond to skill shortages?; (c) how to recruit the required skills from various pools either from the existing workforce (including established migrant populations and inactive women) also supported by automation, and from the workforce from non-EU countries? The project combines data on skill gaps and matching in the EU with analyses about human capital in origins; investigates emerging and established migration skill corridors between EU and India, Morocco, Ghana, Nigeria, Philippines, Indonesia, and Ukraine, in order to make enriched inventories of skill partnerships. The project achieves its aims via econometric microsimulations based on EU databases, combining skill supply and demand, and by data collections and stakeholders’ expertise oversees. The knowledge will be nested in the AI-Assisted Skill Navigator (TRL5) which is a Knowledge-Based Expert System, that goes beyond existing policy dashboards. It is an open access system available to public. It is co-created by labour market stakeholders in every partner country. Partners will take care about stakeholders’ involvements in the project, by enhancing tailor-made communication and dissemination. The project will also produce Link4Skill Podcast Series and academic outlets.

Keywords: skill,skill shortage,migration,migration skill corridor,skill matching,ai assisted skill navigator,knowledge based expert system
Identifying Predictive factors for the Recovery of Achilles Tendinopathy (PReAcT)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

Despite treatment, one in four patients with Achilles tendinopathy (AT) develop chronic symptoms of ankle pain and stiffness lasting more than a decade, thus tremendously impacting their daily lives. As such, this project’s overall objective is to investigate which patient-related factors can hinder these patients’ recovery following the current standard of care. Recently, psychosocial factors have been acknowledged as important to consider when treating AT patients. Also, metabolic disorders have been suggested as influential factors limiting recovery following standard treatment for AT. However, there is little evidence regarding the predictive value of psychosocial and metabolic factors for AT recovery. Therefore, via a longitudinal cohort study, I aim to identify predictive psychosocial and metabolic factors influencing the recovery of persistent AT following standard care. Additionally, I will explore new psychosocial themes and metabolic influences via inflammatory pathways using innovative methods, as well as develop a clinical classification model able to identify patients at risk for poor recovery. The final aim of this project is to utilize the newly gathered insights and design a person-centered treatment approach for at-risk patients with AT. This fellowship will allow me to combine my strong background in (chronic) pain and related psychosocial factors, with the leading expertise of my supervisor and host institution on Achilles tendons. In doing so, it will offer me the ideal learning environment to gain meaningful experiences with this population, develop valuable research and transferable skills, and foster long-lasting scientific collaborations. Ultimately, this fellowship will help me establish myself as an independent researcher who can start and lead a novel research line investigating person-centered treatment strategies for AT.

Keywords: achilles tendon,tendinopathy,kinesiophobia,pain catastrophizing,hypervigilance,metabolic syndrome
Efficient and Durable Pressurised Anion Exchange Membrane Electrolyser with Novel Triple-Boundary and Stack Designs (ENDURION)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Research and Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: Austria,Spain,France,Switzerland,Italy,Bulgaria,Germany
Call: Advanced anion exchange membrane electrolysers for low-cost hydrogen production for high power range applications (HORIZON-JTI-CLEANH2-2024, 2024)
Start date: 2025-05-01
End date: 2028-10-31
Duration (months): 42.0
Total project cost (EUR): 4788921.25
EU funding (EUR): 3977952.94
Participants: 13
Project status: SIGNED

The Anion Exchange Membrane Electrolyser (AEMEL) demonstrates potential advantages compared with the more established Alkaline Electrolyser and Proton Exchange Membrane Electrolyser in easing the cell design, and lowering capital and operating expenditures. Nevertheless, AEMEL faces challenges due to its poor durability and low efficiency, which demands further research and innovation in Membrane-Electrode-Assembly (MEA) optimisation and cell design. Furthermore, coupling the AEMEL with industry requires another technological challenge in producing direct pressurised hydrogen to the end user. Taking the aforementioned challenges into consideration, ENDURION’s main objective is to develop an efficient, durable, low-cost pressurised AEMEL through the synergistic approach of MEA materials development and novel cell design employing exclusively earth-abundant materials and up-scalable processing. Learning from the previous progress of main EU projects on AEMEL, ENDURION addresses the AEMEL challenges through integrating recent advances in materials science, modern characterisations and processing tools, data-driven optimisation through machine learning, internal and external AEMEL components designed for electrochemical compression. Systematic works on novel materials development of sustainable porous transport layer, CRM-free catalysts, ionic liquid co-catalysts and environmentally benign bioresource membrane, along with novel up-scalable AEMEL cell and stack design will be the main tasks. ENDURION is expected to demonstrate an innovative pressurised AEMEL with a 30 % improved efficiency and 30 % more durable, at H2 production cost reaches EUR 450 /kg H2 It is also projected that ENDURION’s outcomes in the long run will contribute to an increased market share of AEMEL for the production of green hydrogen, reduced global carbon emission, a reduction of the European dependency on critical raw materials.

Keywords: membrane electrode assembly,crm free catalysts,green hydrogen,bio based membrane,ionic liquids,pressurised electrolyser,machine learning,electrochemical compression
A new X-ray pulsar navigation system for Deep Space Exploration (DeepSpacePULSE)

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: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-01-01
End date: 2026-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The DeepSpacePULSE project aims at studying the viability of an autonomous Pulsar X-ray Navigation unit that will improve by an order of magnitude almost all aspects of previous similar systems, making these satellite positioning devices competitive in both the public and private space market. Pulsars are astrophysical objects, namely the final result of the supernova explosions of very massive stars. We have detected thus far about three thousand pulsars in our Galaxy, but we know this is only the tip of the iceberg of their entire population. Pulsars are perfect clocks with unprecedented stabilities, making them a perfect GPS system in space. The DeepSpacePULSE Pulsar Navigation System is expected to be an efficient, small and light navigation unit to be mounted in future space missions. This novel navigation technique has been recently tested on the International Space Station, and can be used within our own Solar System (reducing costs with respect to more standard positioning systems), but also for future deep-space navigation. Travelling in deep-space is currently limited by the required power to exchange information with Earth, in particular concerning the satellite positioning system and orbit determination. The first step for a future deep-space exploration, is to develop the technology that will allow any space mission to be able to guide the spacecraft autonomously. DeepSpacePULSE, using this ERC PoC Lump Sum, wants to perform a feasibility study for a new concept of an autonomous X-ray pulsar navigation system expected to weight about 10kg, be as big as a microwave oven, and using a new pulsar observation plan that will possibly permit to keep the satellite autonomous positioning stable for a few centuries.
Futuring Peace: the Politics of Water Conflict in a Post-truth Age (Water Governance)

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: Sweden
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): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: CLOSED

The international peace and security architecture is undergoing urgent change to accommodate a conflict environment that will be increasingly shaped by the quality of environmental governance in a context of climate change. Water problems – with its associated drought, wild fires and flooding – are at the centre of changing conflict dynamics. The 2021 Report of the Independent Panel on Climate Change (IPCC) devoted 200 pages to this issue alone, highlighting the vulnerability of weak states and agricultural communities within them to water conflict stemming from poor regulation of access to scarce resources. In addition to a rise in water conflict, peace and security policy and practice is also adjusting to a global context of rapid technological, geo-political and normative change. Climate change and advances in techno-science are intricately linked in the UN’s Futuring Peace initiative, which explores the possibility of using big data, machine learning and social media to inform climate conflict prevention activities . The digital expansion of public space has also facilitated post-truth politics, which denotes the use of digital technologies by rising illiberal authoritarian and populist powers to question or fabricate scientific ‘facts’ about global issues, including both climate change and military conflict . Climate conflict narratives have placed peacebuilding practice between the objective truth claims of ‘big data’ and the ontological condition of ambiguity – or multitude of ‘truths’ regarding climate-conflict risk. This project will focus on how the inter-related issues of climate change, technology, rising illiberal global powers and post-truth politics cohere around water resources to influence conflict dynamics and the norms that underpin international peace and security intervention. It will involve a qualitative case study of international intervention, water governance and water conflict in the Ferghana Valley in Central Asia.

Keywords: climate conflict ethnic violence environmental peacebuilding digital tools for peace water governance digital network society misinformation and disinformation
Integrable Many-Body Systems through the Mathematical Lens (IMBS-Math)

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: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 1
Project status: CLOSED

The project focuses on the relation between integrable many-body systems and three important fields of mathematics: partial differential equations, Painlevé equations, and probability theory. The goal is to build new connections in this context by considering recent results as follows. The first objective consists in explaining how a class of integrable many-body systems that appeared over the last 5 years can be used to parametrise specific solutions to hierarchies of partial differential equations. An algebraic and a geometric interpretation of these parametrisations will be sought. The second objective deals with the extension of the Hamiltonian formulation of many-particle Painlevé equations, called the Calogero-Painlevé correspondence, to new cases. This investigation will make a central use of the current activity on discrete Painlevé equations and the quantum analogues of Painlevé equations. The third objective related to probability theory is two-fold. On the one hand, quantum versions of integrable many-body systems will be derived by adding noise to specific diffusion processes that are constructed using their classical versions. On the other hand, important properties of probability distributions appearing in random matrix theory or the study of beta ensembles will be obtained. The point of view will be to interpret these distributions in terms of suitable many-body systems whose integrability will play a key role for the computation of the desired properties.

Keywords: integrable systems many body systems integrable probability painlev equations
Machine-learning polymer Gel's ELasticity and Structure (MGELS)

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: Italy
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): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

Responsive soft materials, made of crosslinked polymer networks, have emerged as a promising class of systems. In particular, thermoresponsive hydrogels and microgels are widely used from drug delivery to cell engineering and art restoration. An important feature of such systems is their internal elasticity, which can be tuned according to their preparation protocol and crosslinker concentration. Despite recent progress in their modeling by means of numerical simulations, there is no way to know a priori their structure and elasticity from only their initial constituents, and hence, extensive exploration of initial parameters through simulations and experiments must be performed. To overcome this difficulty, in the present proposal MGELS -Machine-learning polymer Gel’s ELasticity and Structure- I will exploit my existing knowledge on Machine Learning (ML) methods to develop novel tools able to predict structural and elastic properties of hydrogels and microgel particles to design in silico polymer networks with desired features. The project is based on four objectives. The first is to develop a ML-Neural Network (ML-NN) able to predict the network structure using data from molecular dynamics simulations of microgels and hydrogels already collected from the supervisor. The second is to explore structural and elastic properties of new configurations of networks, following the methods established in the host group. As a third objective, we will create a new database of polymer networks that will be made open access at the end of the project. Finally, we will extend the ML-NN approach to predict elastic properties and to identify the onset of auxetic behavior. With the accomplishment of these goals, we will be able to fully predict polymer networks properties, being very appealing for the soft matter and materials science communities. The scientific outcomes from the action and the development of new skills will help me to establish my future career in academia.

Keywords: microgels hydrogels polymers colloids machine learning elasticity coarse grained simulations
Three Research Infrastructures together: Carbon Uptake Southern Ocean (TRICUSO)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Technology and infrastructures
Action type: Research and Innovation actions
Countries involved: Norway,Belgium,France,United Kingdom,Germany,Finland,Switzerland,Poland
Call: R&D for the next generation of scientific instrumentation, tools, methods, solutions for RI upgrade (HORIZON-INFRA-2024-TECH-01, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 9999300.0
EU funding (EUR): 9999300.0
Participants: 18
Project status: SIGNED

The ocean is key in the global C cycle, taking up ca. 25% of the CO2 we emit, slowing climate change and giving us more time to mitigate and adapt to climate change. The Ocean C Value Chain (VC) of observations, data QC & analysis delivers key information around this to decision makers such as the Conference of the Parties. The RIs play a pivotal role in the VC via their ability to operate at scale & pool resources to ensure common data standards and operational practices. The urgency of the climate crisis drives us to put this VC on a much more robust footing with the World Meteorological Organisation leading the planning of a Global Greenhouse Gas Watch (G3W) covering all components of the Earth System. Unfortunately the VC currently delivers estimates of Ocean C uptake much larger than those from models, leading to a damaged ability to manage climate change. However further work suggests that observations at a much higher density in the Southern Ocean (SO) would substantially resolve this issue. Our ability to deliver these via ships is limited by the small number that enter the SO and we therefore need many more observations from research vessels, citizen science platforms, autonomous robotic floats & surface platforms. This step change requires substantial technological innovation and complex data synthesis. TRICUSO will address these needs by a) improving the sensing technologies on floats and small uncrewed surface vessels, b) supporting citizen science on yachts and potentially cruise and expedition vessels, c) integrating biological observations into the work flow, d) improving data flows to scientists, e) evaluating the density of observations needed & f) proposing fit for purpose governance structures that allow the RIs to operate within the G3W. These actions will enable us to have a much firmer grip of how and why Ocean Carbon uptake varies and thus a much firmer evidence base on which to make decisions around managing climate change impacts.

Keywords: ocean carbon antarctic technology yachts
Transformative Innovation for Climate Change Adaptation in the Danube Region (TiCCA4Danu)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Adaptation to climate change
Destination: Adaptation to climate change
Action type: Research and Innovation actions
Countries involved: Germany,Netherlands,Italy,Austria,Slovenia,Bulgaria,Hungary,Romania,Switzerland
Call: Improve design for transformative approaches and build local capacity for implementation of available solutions focused on climate adaptation (HORIZON-MISS-2024-CLIMA-01, 2024)
Start date: 2025-06-01
End date: 2028-05-31
Duration (months): 36.0
Total project cost (EUR): 3821693.0
EU funding (EUR): 3821693.0
Participants: 13
Project status: SIGNED

TiCCA4Danu proposes a novel and comprehensive transformative innovation framework to accelerate just climate change adaptation (CCA) at the level of cities and their surrounding administrative regions. In order to address the structural barriers for CCA implementation at the city-region level, TiCCA4Danu proposes a systems-level approach, which requires effective governance changes, introduction of directionality, and a different use of policy instruments favouring discovery and experimentation processes. TiCCA4Danu directly relates to the EU Cities- and Adaptation Mission frameworks and builds on the emerging literature discussing the opportunities and limitations to governing socio-technical change for addressing grand challenges, such as climate change, through novel transformative approaches. At the core of TiCCA4Danu's methodological approach lies the concept of place-based “Transformative Innovation Policy” (TIP), which postulates a systems-level change perspective in innovation policy. TiCCA4Danu aims at applying the theoretical TIP concept to the city-region level by linking TIP to “Local Green Deals” (LGD), an established instrument for sustainable transformation at the city level, and by complementing the LGDs with a novel approach for transformative CCA at the level of regions. With TIP facilitating wider and inclusive societal transformation, TiCCA4Danu features stronger involvement of vulnerable groups as well as stronger private sector involvement. TiCCA4Danu focussing its activities on four "Anchor Cities" and their surrounding regions in the Danube Macro Region, all constituting different bio-geographical regions, i.e. Coastal, Mountain and Continental. By establishing a direct link to the EU Strategy for the Danube Region (EUSDR) and by working with the relevant Priority Area Working Groups, TiCCA4Danu will scale results up to the Macro-Regional level. Applicability at the EU level will be tested as part of the EU's "Week of Regions and Cities".

Keywords: transformative innovation,smart specialisation,danube region,city region