Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Traditional foodways: Innovation, resilience and continuity in the ancient Mexican Highlands (TIRECUA)

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: 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: 2
Project status: CLOSED

Traditional foodways: Innovation, REsilience and ContinUity in the Ancient Mexican Highlands (TIRECUA) aims at reconstructing the diet of ancient Mesoamerican populations from the Western Mexican Highlands. Food is a highly multidimensional character which not only translates the necessity of eating but also fundamental cultural processes, subsistence practices and environmental constraints. Today, our food practices have an increasing impact on human health and on the environment, and the rediscovery of more traditional eating habits has the potential of reducing our environmental footprint, increasing global health and improving the future of food security. This research will focus on Mesoamerica, a region traditionally relying on an original and economically important set of food products but where Indigenous knowledge is seldomly recognised. TIRECUA will develop an innovative multidisciplinary approach to understand what food was consumed by whom, and how it varied through time. This EU-funded research project will set-up a state-of-the-art framework for biomolecular diet analyses including stable isotopes, palaeoproteomics and ancient DNA by combining the skills of the applicant with the host institution. The outcomes of TIRECUA are expected to be of interest to a large public by highlighting ancestral recipes, acknowledging the cultural origin of this food in the deep-time and promoting alternative, healthy and sustainable meals.

Keywords: mesoamerica molecular archaeology stable isotopes weaning proteomics ancient dna diet reconstruction
Social media influencers: women, work and redistribution in Cameroon's digital economy (SMIIWA)

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: United Kingdom,South Africa
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2028-09-30
Duration (months): 36.0
Total project cost (EUR): 301142.76
EU funding (EUR): 301142.76
Participants: 2
Project status: SIGNED

This study examines the role of female fashion influencers in Cameroon. Although the fashion industry in Africa is amongst the fastest growing globally, most studies of social media influencers not only overlook Africa but also understand economic value solely in financial terms. Yet, unlike Western influencers, young Cameroonian women seeking to create influencer positions and build their brands must engage in distribution offline – of advice, images, garments, money – to reward followers for their work of advertising their styles. As such they are constructing a unique influencer economy that differs radically from the Western models on which the existing literature is disproportionately focused. This study thus asks what counts as economic and other value for social media influencers in the Cameroonian influencer economy and how these values, and thus the economy, is created and sustained. Through participant observation, semi-structured interviews and netnography, this project investigates the redistributive practices of young Cameroonian female social media influencers building networks of followers, sharing images, and building brands. As the first fully-fledged study of fashion influencer economies in/from West Africa the project examines models of valuation underpinning influencer economies based on redistirbution in view of fostering new areas of interdisciplinary and decolonial research on alternatives to the formal digital economy. I shall carry out the fellowship at the University of Cape Town (UCT), under the supervision of Prof. Divine Fuh, and University College London (UCL), under the supervision of Prof. Daniel Miller.

Keywords: women,work,redistribution,social media influencer economies,digital economy,cameroon,west africa
Scaling EOE Regrind - The next eyewear sustainability disruptor (EOE REgrind)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Sweden
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

EOE RegrindTM, first of its kind, is a bio-circular acetate material that is made from old eyewear and production spill. The recyling rate of eyewear through the patented method is up to 99% yield, high purity and quality. It has the potential to reduce CO2 emissions with up to 90%. We aim to develop the RegringTM machine and to broadly spread the process of recycling old eyewear in order to create multi-use bio-circular acetate. The EOE RegrindTM process, if widely spread, will be able to repurpose old acetate and to grind it down to new acetate sheets. Currently only used for eyewear, we aim to be able to develop the process not only to change the eyewear industry, but to vastly diminish the use of virgin acetate across multiple sectors and reduce CO2 emissions in production.
Climate-resilient reGeneration and renaturing for, by and with vulnerable neighbourhoods, striving towards net-zero (ClimaGen)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Adaptation to climate change
Destination: Adaptation to climate change
Action type: Innovation actions
Countries involved: Norway,Belgium,Serbia,Poland,Estonia,Italy,Romania,Netherlands,Spain,Greece,Switzerland
Call: Urban greening and re-naturing for urban regeneration, resilience and climate neutrality (HORIZON-MISS-2023-CLIMA-CITIES-01, 2023)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 12332537.5
EU funding (EUR): 11999496.25
Participants: 33
Project status: SIGNED

ClimaGen will demonstrate how Climate-resilient regeneration and renaturing for, by and with vulnerable neighbourhoods, can help cities and regions in their transitions towards net-zero. 5 Demonstration cities (Belgrade, Gdańsk, Tartu, Torino, and Trondheim), will implement 25% increased share of newly created and/or restored public green spaces in each city. 4 Replication Cities (Cluj-Napoca, Eindhoven, Gernika and Thessaloniki) will experiment with shorter-term co-creative measures with the same objectives and methods to plan for future implementation of the measures. All 9 cities will run their own Work Packages in ClimaGen, supported by 5 cross-cutting concepts and 4 transversal WPs: ClimaGreens will nurture integrated renaturing measures that create resilience at several scales, and avoid maladaptation in the journey to climate-neutrality. ClimaLabs will provide local and regional collaborative governance, with arts, culture and youth, entrepreneurship and financing, and organisational resilience in long-term planning strategies. ClimaImpact will generate evidence-based decision support and valuation of co-benefits, in easy-to-understand and, where possible, visualised formats. ClimaValue will offer outreach, capacity building and policy guidance, with strategic advocacy together with sister projects and close collaboration with Missions/NEB communities, while an evidence-based ClimaGen Guidance Package will disseminate results and knowledge to cities. City Dialogues and cross-cutting Sense-Making Sessions will support local implementation and common learning. Together these define impact pathways to knowledge sharing, scaling and replication. The ClimaGen Games will tie these activities together with a portfolio of participatory, gamified, citizen-science-based methods to engage all partners and stakeholders in an inclusive manner, and to use their diversity as a strength.

Keywords: climate resilience,regeneration and regreening,vulnerable neighbourhoods,climate neutrality,cities mission,climate mission
A new platfoRm for eXplorIng Magnonics interfacEd with ultracolD nEutral atomS for quantum information (ARXIMEDES)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1499607.5
EU funding (EUR): 1499607.0
Participants: 1
Project status: SIGNED

ARXIMEDES’ ambition is to establish a novel neutral atom-magnon platform towards on-chip quantum information processing (QIP) and quantum simulation at 300 K. It will explore the braiding of magnonics e.g. spin waves with cold matter: First, by harnessing the spin wave’s tuneable stray field of a standing spin wave pattern to trap ultracold neutral 87Rubidium (Rb) atoms on chip via magnonic lattice potentials. Second, by controlling the atoms & their interactions via magnonics. The absence of electrical current generating the trap will overcome today's challenges of miniaturized atom chips such as heating and decoherence from the trap. Third, the subsequent constitution of a new “magnonic lattice toolbox” which contains all ingredients to individually control and manipulate atoms will pioneer on-chip sensing, QIP and quantum simulation (by exploiting the frequency tunability and phase control of magnonics to move atoms by coupling to spin waves or to tune the lattice for Floquet band engineering). ARXIMEDES’ compact atom-magnon chip will uniquely combine the scalability, tuneability and controllability of magnonics with the advantages of neutral atom qubits (e.g. long coherence times, low error rates). ARXIMEDES will thus establish new avenues for QIP and quantum simulation for many-body physics by studying very short-range atom interaction regimes (via wide lattice spacing tunability for sub-wavelength lattices e.g. to engineer artificial gauge fields). Further, magnon-atom interactions in the linear or nonlinear regimes will be explored for the first time as well as extending state-of-the art magnonics by the new roles of spin wave interference, pulses and propagation in ARXIMEDES. Together with these new insights to fundamental physics, ARXIMEDES unique idea will also propel atom chip quantum sensors beyond state-of-the-art and bring together the cold matter and magnonics communities for new pathways for on chip quantum technologies in the 21st century.

Keywords: magnonics,magnonic traps for ultracold neutral atoms,magnonics for quantum information processing and quantum simulation,quantum sensing,hybrid on chip platform,inertial sensors
Climate-related Beliefs and Low-Carbon Transition Dynamics (BELIEFS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Italy
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): 1999391.0
EU funding (EUR): 1999391.0
Participants: 2
Project status: SIGNED

The transition to a low-carbon society, as mandated by the Paris Agreement and recent net-zero targets, requires a significant expansion and reallocation of physical investments. Investment choices crucially depend on firms’ expectations and beliefs. However, profound knowledge gaps exist regarding transition-related expectations: current modelling frameworks lack the capability to fully assess their impact on transition dynamics; empirical evidence on their distribution is scarce; and there is limited comprehension of their evolution drivers and how to align them effectively with climate targets. Misalignment of expectations can lead to failed or disorderly decarbonisation pathways. The BELIEFS project will lay the foundations of a novel analytical framework capable of shedding light on the complex interaction between firms’ beliefs, investment decision-making and climate policy strategies, so as to identify credible paths to a net-zero society. The project will deliver a methodological breakthrough by developing a dynamic transition model with a realistic representation of expectations as heterogeneous, evolving and interdependent. The design and calibration of the model will be informed by extensive data collection efforts, including original surveys and experiments. A large-scale survey of firms will produce the first comprehensive empirical assessment of transition-related expectations and their impact on economic decisions. The results of the project will be pivotal in identifying effective policy and institutional strategies to ensure alignment of beliefs, thereby enabling a swift and orderly decarbonisation process. Over the course of five years, BELIEFS aims to offer pioneering interdisciplinary contributions to advance our understanding of the macro-behavioural dimensions of low-carbon transitions, integrating elements from climate economics, transition theory, behavioural sciences and political economy.

Keywords: behavioural macroeconomics commitment climate change climate policy climate related beliefs decarbonisation experiments investment choices low carbon transition net zero targets narratives transition modelling transition related expectations policy credibility policy uncertainty surveys
Random sampling for trustworthy pooling layers in graph neural networks (Rand4TrustPool)

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: Norway
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-03-10
End date: 2027-03-09
Duration (months): 24.0
Total project cost (EUR): 226751.04
EU funding (EUR): 226751.04
Participants: 1
Project status: SIGNED

Graph neural networks (GNNs) are deep learning architectures that hold the promise of durably changing our way of, e.g., predicting inter-molecular chemical affinity to accelerate drug discovery or smartly balancing power loads on the electricity grid. My project focuses on pooling layers, a major building block of neural networks, including GNNs. In a nutshell, pooling layers generate local summaries of the data to enable faster computations and generate discriminative multiscale representations. The traditional periodic-sampling-based pooling that has proven so successful for data defined on regular grids such as time series or images becomes ill-defined when the underlying space of the data loses its regularity – such as data defined over graphs. Today’s existing solutions stem from a trial-and-error approach often driven by two practical and somewhat short-sighted objectives: computation efficiency and empirical predictive performance. The aim of my project is to add trustworthiness as a main objective in the design of novel pooling layers for GNNs. To achieve this, I will bridge the fields of signal processing, point processes, and random numerical linear algebra with graph machine learning to incorporate random methods (mainly random sampling and random projections) into the design of pooling layers for GNNs. Indeed, randomized approaches are provably well adapted to three pillars of trustworthiness: technical robustness, transparency, and privacy. The outcome of my project will be an extensively tested, theoretically-grounded, trustworthy, ready-to-be-deployed, open-source, GNN-based toolbox, along with its user guide for practitioners. It will be the first GNN architecture benefiting from the theoretical guarantees random pooling layers come with. Such trustworthy GNNs will have an impact in the increasingly many fields in which GNNs are pushing the state-of-the-art: including circuit chip design, physics, drug discovery and network neuroscience.

Keywords: graph machine learning,graph neural networks,trustworthy ai,pooling,sampling,graph signal processing,point processes,random numerical linear algebra
Electrochemical late stage functionalisation of nucleosides via chemo-regioselective C-H activation of C5 position. (eGreenchem)

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: Italy,Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 276633.26
EU funding (EUR): 193643.28
Participants: 2
Project status: SIGNED

Medicinal chemistry is a fast-evolving discipline. Since the early 2000s is shifting its interest from a traditional small molecule's “flat” domain to a 3D molecular space that can address the ongoing demand for therapeutic solution targeting unmet clinical diseases. In this context, during the last years new classes of compounds are being used as therapeutic agents; among them, DNA- and RNA-based therapeutics agents are gaining a prominent role in drug process development. Natural nucleosides, the fundamental building blocks of these therapeutic agents, are numerically limited and show poor biological stability properties. To overcome these limitations and to have access to a DNA/RNA based drug with an improved profile, the synthesis of nucleosides analogues is a cornerstone strategy pursued by medicinal chemistry. Although several sites of modifications of the natural occurring nucleosides can be identified, the most widespread decorations involve the ribose moiety in C1, C2 and C3. Moreover, the reported methodologies often require many synthetic steps and make these approaches poorly sustainable. The aim of the eGreenchem project is to allow the access to an unprecedent class of nucleosides analogues by C-H functionalization of the C-5 position of the ribose moiety. We plan to perform such transformation via the electrochemical-mediated radical generation of a C5 carbon centered radical and its subsequent reaction with various radical acceptors. Organic electrochemistry can facilitate the selective formation of the radical, instead of others regioisomers, and thus the specific functionalization of complex scaffolds. This transformation would represent a state-of-the-art advancement in the decoration of sp3-based scaffold, another popular trend in medicinal chemistry. The outcome of this project will further result in the synthesis of a nucleosides analogues library targeting a new molecular space for the development of novel drug candidates.

Keywords: nucleosides electrochemistry late stage functionalisation analogues radical chemistry sustainable chemistry
Countering Crime and Terrorism and their Links to Transnational Illegal Activities by Fostering International Cooperation (AVALANCHE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Civil Security for Society
Theme: Civil Security for Society
Destination: Strengthened Security Research and Innovation
Action type: Innovation actions
Countries involved: Cyprus,Luxembourg,Ireland,Greece,Netherlands,Romania
Call: Accelerating uptake through open proposals for advanced SME innovation (HORIZON-CL3-2023-SSRI-01, 2023)
Start date: 2024-10-01
End date: 2026-09-30
Duration (months): 24.0
Total project cost (EUR): 2098375.0
EU funding (EUR): 1499800.0
Participants: 7
Project status: SIGNED

AVALANCHE Vision: While technological solutions for investigations and global cooperation do exist, they are mostly fragmented and myopic focusing on providing very narrow and isolated functions within their own boundaries without ensuring interoperability and international cooperation. To alleviate the limitations of existing solutions, AVALANCHE aims to make transformative steps towards the development of a highly innovative, holistic, multi-disciplinary, high-tech, and versatile solution for significantly increasing/broadening the operational capabilities of LEAs in their struggle to detect, analyse, track, investigate and prevent cross-border illicit activities of high-risk criminal networks, migrant smuggling, firearms, drugs, child exploitation, terrorism, cyber and intellectual property crime coordinated through the digital world. Building on Pillars I and II, the AVALANCHE platform will offer tools for semi-automatic collection of evidence to foster explainable investigations and reasoning through intelligence-led methods and contextual-aware gleaning of actions. Also, building on Pillar III, the AVALANCHE platform will provide interoperable systems and interconnection with national and international databases through common standards, data and schemas alignment, and mediation to foster information exchange and international cooperation. To guarantee the wide SMEs solutions adoption by the actual practitioners, AVALANCHE will produce training curricula, benchmark with Europol’s Innovation Lab, contribute to LEAs operational standards and establish a broad ecosystem of crime-relevant stakeholders, and complement its objectives by continuously receiving guidance from the EU Policy Instrument (EMPACT). Finally, AVALANCHE will validate the integrated platform through a demonstration in diverse business scenarios of HP that cover key operational domains (from cross-border illicit activities to antisemitism, and more) with notable societal and market impact.

Keywords: natural language understanding open source intelligence large language models artificial intelligence high risk criminal networks analytics and visualisation reports