Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Rhodium-catalyzed carbyne transfer strategy to streamline synthesis of housane (Housane)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-15
End date: 2027-04-14
Duration (months): 24.0
Total project cost (EUR): 209914.56
EU funding (EUR): 209914.56
Participants: 2
Project status: SIGNED

Aliphatic sp3-rich ring systems such as cyclopropanes and cyclobutanes are commonly observed motif in drug molecules. This is due to the fact that they can positively influence metabolic stability, conformation, pKa, entropy, membrane permeability or pharmacokinetics in drug leads. However, the molecule consists of a cyclopropane fused to cyclobutane, traditionally known as ‘housane’ is significantly underexplored and yet to appear in drug molecules. This can largely be attributed to the lack of general synthetic methods for the preparation of this motif. Current protocols for the synthesis of housane, require multistep manipulations or pre-functionalized substrates, which means low efficiency and sustainability. Housane aims to develop an innovative technology to rapidly construct housanes and housane derivative of drug molecules from feedstock and fine alkenes based on a Rh-catalyzed carbyne transfer platform. A key strength of this conceptually new and multidisciplinary proposal is the introduction of a secondment phase in Janssen (Toledo, Spain) to explore real-life applications. The ambitious action merges perfectly with the expertise of the host in novel C-H and C–C bond functionalization strategies based on the catalytic generation of carbyne equivalents with the strong background of the applicant in transition metal-catalyzed asymmetric allylic substitution chemistry, thus enhancing two-way transfer of knowledge between the ER and the host group. This project will expose the fellow to a wide range of cutting-edge chemistry including medicinal chemistry in an interdisciplinary and international environment (ICIQ, Janssen) and enable the fellow to become a leader for the next generation in the field of organic synthesis, homogeneous catalysis and medicinal chemistry.

Keywords: rh carbynoids,hypervalent iodine reagents,diazo compounds,cyclopropanes,housanes
Similarity in phonological theory (SIMPHONY)

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: Norway
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-03-01
End date: 2028-02-29
Duration (months): 24.0
Total project cost (EUR): 251578.56
EU funding (EUR): 251578.56
Participants: 1
Project status: SIGNED

Although the sound patterns across the languages of the world vary widely, commonalities seem to recur in how human beings categorise sounds: we seem consistently more likely to ‘bundle’ /p t k/ than /v s g/, /f s h/ than /q x r/. A large fraction of ‘phonological theory’ as it now exists has resulted from interest in the properties such classes of sounds might share; in the distributional typology of sound classes, and the extent to which linguists' intuitions about the rarity or ubiquity of such classes match reality; and in the mechanism by which such classes arise over time. Cognitive representations of the SIMILARITY between the sounds involved in these patterns, although essential to the complete picture, have remained poorly-understood. This project seeks to remedy this gap in our understanding via the creation of a large cross-linguistic database of potentially similarity-driven phonological phenomena (assimilations and dissimilations). This will offer a good-quality empirical foundation on which to base theories of category formation and models of the similarity between individual segments. Analysis of this data, taking into account the interdependent nature of spatial variation and temporal variation, will link approaches to phonological theory and historical phonology with current state-of-the-art work in distributional typology; this connects sub-fields of linguistics whose intersection remains under-explored and overdue for further development.

Keywords: theoretical phonology,phonological typology
Computational Mechanisms of Social Media Use in Youth (MediaMinds)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-11-01
End date: 2029-10-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

We have an urgent need to better understand the social media engagement of youth. Social media supports the specific developmental needs of youth, such as those for social connection. However, the increased sensitivity of the developing brain to social rewards may place youth especially at risk. In addition, youth’s sensitivity to social influence exposes another potential vulnerability, given that not all information is trustworthy. Understandably, there have been widespread fears about the impact of social media on youth. However, currently little is known about what drives youth to engage with social media or how they are impacted by it. Recent meta-analyses and reviews have identified that the field is hampered by several key limitations: 1) an overreliance on subjective and high-level measures, such as screen time, 2) the underuse of social media trace data and 3) lack of ecologically valid experimental tasks, and 4) the absence of a framework for understanding social media engagement. Here I address that challenge by developing novel computational models that provide a theoretical formalization of the complex interactions between the developing cognitive processes and social media affordances. In addition, I will analyse social media trace data, develop novel ecologically valid experimental tasks, and use neuroimaging to further test and refine these formal models. This project will focus on the neurocognitive development of fundamental cognitive processes that interact with the two key affordances that social media platforms provide: 1) social feedback processing and, 2) social information processing. The computational framework is grounded in 1) models of neurocognitive development, 2) reinforcement learning models, and 3) Bayesian models of belief updating. Our findings will significantly advance our understanding of the social media engagement of youth on the mechanistic level, and will provide a fruitful framework and toolbox for future studies.

Keywords: social media,computational modeling,adolescence,young adulthood,reinforcement learning,bayesian learning,experimental research,trace data
Alliance for Modelling Industries towards the Green Deal’s objectives And circularity – Hop on (AMIGDALA Hop-on)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Research and Innovation actions
Countries involved: Netherlands,Estonia
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 34.0
Total project cost (EUR): 396201.25
EU funding (EUR): 396201.25
Participants: 2
Project status: CLOSED

The ambition of AMIGDALA-HOP-ON is to enhance the integration of global trade data and models into the ongoing integrated modelling in AMIGDALA, making the work even more relevant for policymakers and industry leaders. The objectives are (1) to further develop predictive international trade models using additional features derived from AMIGDALA research and modelling, and to align and incorporate these results with and into AMIGDALA's integrated modelling; (2) to enhance international trade and trade relations in scenario development; and (3) to advice on technology governance and policy development, from the perspective of international trade. The inclusion of granular, accurate, and global trade data as a result of AMIGDALA-HOP-ON enhances the AMIGDALA’s ability to model and predict the complex dynamics of the green transition. Using insights from detailed trade data modelling, the model framework can more precisely assess the economic and environmental impacts of international trade on the EU's transition to a low-carbon economy. This enables the identification of industrial upgrading opportunities and strengthens the accuracy of scenarios and pathways, ultimately leading to more informed policymaking and increased competitiveness. The enriched data-driven approach also fosters greater societal awareness and supports resilience and inclusivity within Europe’s research and innovation landscape. The widening applicant Policy Lab is a private research centre specialising in big data science solutions for global trade strategies and economic development policies. Its expertise lies in predictive market analytics, industrial competitiveness, and scenario studies. The team, a mix of economists and data scientists, brings key experience in economic resilience, export promotion, and strategic positioning of companies within global supply chains and related policies.

Keywords: international trade,international trade modelling,un comtrade,green goods,value chains,strategic autonomy,economic complexity,machine learning,export policy,trade policy
The Holocaust in Yugoslav Cinema (HYC)

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: Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 214344.72
EU funding (EUR): 214344.72
Participants: 1
Project status: SIGNED

The Holocaust in Yugoslav Cinema (HYC) examines the representations of the Holocaust in 50 Yugoslav films between 1945 and 1992. The Holocaust in Yugoslavia forms a major chapter in modern European history that saw the country partitioned and the majority annexed to the Nazi-backed Independent State of Croatia that perpetrated a systematic genocide against Serbs, Jews, and Roma. Memorialisation found dynamic, increasingly unexpected and altogether radical expression through films which dealt with issues of ethnic persecution, resistance, Jewish history, faith and culture in original ways. By combining film, historiographical, and archival analysis, and empirical fieldwork in the archives in Belgrade, Zagreb, and Vienna, the proposed Project will systematize the Holocaust in Yugoslav cinema. In doing so, the Project fills a major gap in European historiography: HYC opens the door to understanding the socio-political, ethnic, religious, and cultural specificities of Shoah representation in the Balkans and unlocks the heritage of a great cinematic tradition, altogether unresearched and yet one that can help us to reframe how we read visual histories of the Holocaust.

Keywords: film,holocaust,archives,yugoslavia
Strengthening the resilience of textile, aerospace, and construction SMEs to transition towards greener and more digital sectors with social and business innovation (In Transit)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Coordination and support actions
Countries involved: Spain,Slovenia,Greece,Ireland,Italy,Austria,Portugal,France
Call: 'Innovate to transform' support for SME's sustainability transition (CSA) (HORIZON-CL4-2022-RESILIENCE-01, 2022)
Start date: 2022-12-01
End date: 2025-11-30
Duration (months): 36.0
Total project cost (EUR): 4999646.25
EU funding (EUR): 4999646.25
Participants: 10
Project status: SIGNED

In Transit aims to strengthen the resilience of textile, aerospace and construction SMEs towards greener and more digital sectors with social and business model, with a mixed support mechanism including individual assessment support and a lump sum and coaching to ensure their consolidation and sustainability. In Transit will provide an open online collaborative platform involving innovation actors from the aerospace, construction, and textile sectors that will serve as a space for sharing best practices and as a matchmaking system for new ideas for innovation and circular economy and new collaboration partnerships. Foster cross-regional and cross-sectoral links with dedicated learning visits in combination with innovation workshops and matchmakings to establish the seed for collaboration among sectors by identifying potential partners for commercial and innovation cooperation that will ultimately generate growth opportunities for SMEs Increase resilience of SMEs by supporting their transition to more sustainable business models financing of a feasibility study, prototyping, pilot testing, demonstrating, procurement of further specialized consultancy services and coaching services that cannot be provided directly by the project partners, an adaptation of business processes, option to access to DIHs testing facilities, the introduction of new IT solutions, and social innovation strategies. Scale-up support to leverage additional funds. In Transit will connect successful SMEs with other initiatives for scaling up the innovations. IN TRANSIT will allocate 4 M€ directly for SME support out of 5M€ (80% of total budget) In Transit partnership will allow to reach directly (as cluster members) 700 SMEs, 140 large companies and over 150 research facilities across 7 EU-countries, and indirectly over 5.000 SMEs across 38+ countries though EU-wide networks and European Strategic Cluster Partnerships.

Keywords: in transit aims to boost competitiveness in eu regions,providing smes with support from incubation to scale up of cross sectoral solutions,focusing on circularity,digitalization,and sustainability
Reversible Gray Debugging of Concurrent Systems (ReGraDe-CS)

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: Italy,United Kingdom,Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-12-01
End date: 2025-11-30
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 5
Project status: SIGNED

The project tackles gray debugging of concurrent systems. Gray debugging means debugging systems where only part of the source code is accessible (e.g., the system invokes external services such as Google Maps). Debugging concurrent systems (from multiprocessors to Cloud) is notoriously hard. Reversible Causal-Consistent Debugging and Replay (RCCDR) is an innovative approach to this problem, allowing one to log a faulty execution in production environment and replay it in the debugger. There it can be explored backwards and forwards following causality links from the visible misbehavior to the bug causing it. This approach has been implemented in CauDEr, a debugger for the Erlang language. Currently, RCCDR requires access to the whole source code of the target program. To enable gray RCCDR we need to answer the following questions: How can we define RCCDR, and, more generally, reversibility in concurrent systems, in a compositional way, to be able to apply it to systems which are only partially accessible? Are we able to correctly explore backwards and forwards the accessible part? If not, which approximation in the exploration is caused by the missing information about the inaccessible part? Till now RCCDR has only been explored in the concrete setting of Erlang, and gray RCCDR has never been studied. We plan to study gray RCCDR at two levels: 1) the abstract level of event structures. Abstraction ensures simpler proofs and generality of the results, making them applicable to many languages; 2) the concrete level of Erlang semantics, ensuring applicability in a setting of interest, and allowing to implement it by extending CauDEr and integrating it in the Erlang Solutions environment. As an outcome we will provide the theory to apply the powerful RCCDR approach to concurrent systems which are only partially accessible, as well as exploit it in practice, in the setting of Erlang. This will also enable interaction with IT SMEs and software developers.

Keywords: reversible computing,debugging,concurrency theory,erlang
AI-Enhanced Zebrafish Screening: A Low-Cost Solution for High-Throughput Biomedical Research (Megabouts)

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: Portugal
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2025-POC, 2025)
Start date: 2025-10-01
End date: 2027-03-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Thorough, quantitative analysis of behaviour is essential for advancing neuroscience and neurological disorder research and has the potential to significantly improve the characterization of phenotypes in genetic, pharmacological and toxicological screens commonly employed in the pharmaceutical and biotech industries. Achieving high-throughput screening, without compromising the richness of phenotypic data requires scalable, standardized and cost-effective solutions for behavioral recording that also allow seamless integration across labs. To address this need, we developed megabouts.ai (Jouary et al., Biorxiv, 2024) an AI-based pipeline for behavioral analysis capable of reliably inferring high-speed behavioral kinematics from diverse and low-resolution data sources. Complementing this, we have designed a low-cost, modular behavioral testing system optimized to leverage the strengths of the megabouts.ai pipeline, and enable sophisticated behavioral experiments compatible with high-throughput screening approaches. In this proposal, we will develop and validate these tools across a range of behavioral screening paradigms, exploring their potential applications in both basic and translational research. Our goal is to disseminate these innovations, promoting their effective use in academic and industry settings, unlocking new experimental possibilities and enhancing the capabilities of existing commercial and custom-built solutions.
Open and programmable Accelerators for data intensive applications in the cloud (CHORYS) (CHORYS Hop-On)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Research and Innovation actions
Countries involved: Denmark,Portugal
Call: Hop-on facility (HORIZON-WIDERA-2025-03, 2025)
Duration (months): 34.0
Total project cost (EUR): 470965.0
EU funding (EUR): 470965.0
Participants: 2
Project status: CLOSED

The CHORYS project addresses one of cloud computing's most pressing challenges: the inefficiency of CPU-centric architectures when dealing with data-intensive workloads, which waste significant energy moving massive data volumes between storage, memory, and processors. The project's solution is an open, accelerator-centric cloud architecture built on two building blocks: OpenSSD-V and OpenNIC-V. Both integrate RISC-V cores to enable near-data processing and hardware-accelerated asynchronous data services. This proposal details the integration of INESC-ID, a top research institute from Portugal (widening country) uniquely positioned due to its experience with data-stream accelerators, RISC-V processors and tools, and prior collaborations with consortium partners. INESC-ID's inclusion will augment project capabilities, mitigate risks in reliability and latency, and address existing gaps in RISC-V performance monitoring. INESC-ID's contribution is centered on three Specific Objectives (SOs). First (SO1), to enhance storage reliability, they will develop a LDPC-based Error Correction Code (ECC) component for OpenSSD-V, targeting I/O latency reductions over traditional solutions. Second (SO2), to address the absence of sophisticated RISC-V performance monitoring tools, they will integrate their RISC-V Event-Based Sampling (RVEBS) system, providing non-intrusive and accurate telemetry. Third (SO3), to optimize data processing, they will leverage stream-based computing by integrating their Unlimited Vector Extension (UVE) for scalable vector processing and co-designing eFPGA suboperators, aiming for the efficient acceleration of data-intensive patterns. These contributions will be integrated in WPs 4, 5, and 7, strengthening the consortium's delivery of a full European Open Computing Architecture. In line with the project's open science commitment, all new tools will be released as open-sourced artifacts to foster wider adoption and strengthen the RISC-V ecosystem.

Keywords: computing for servers data centers open source software near data processing data streaming accelerators risc v extensions data intensive applications