Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Automated end-to-end data life cycle management for FAIR data integration, processing and re-use (CyclOps)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Spain,Italy,Ireland,Greece,Germany,France,Austria,Romania,Cyprus,Estonia,Belgium
Call: Integration of data life cycle, architectures and standards for complex data cycles and/or human factors, language (AI, data and robotics partnership) (RIA) (HORIZON-CL4-2023-DATA-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 8894072.5
EU funding (EUR): 8894072.5
Participants: 27
Project status: SIGNED

The ability to integrate data from multiple sources is nowadays a major competitive advantage for organizations. Data-driven applications using AI techniques are reshaping various industries such as manufacturing, tourism, and mobility. The European Strategy for Data aims to create a single market for data while ensuring Europe's global competitiveness and data sovereignty. This has led to the development of Common European data spaces, yet the governance of the data life cycle in organizations has not kept up with the rapid technology evolution and remains largely manual. This is especially evident in scenarios where tens or hundreds of continuously evolving data sources produce semi-structured data, and create significant challenges when governed manually, causing organizations to end up with data silos. A systematic and standardized mechanism is needed to ingest, integrate, and process data, thus boosting the ability to develop new data-centric business models. However, current research and development efforts typically target one aspect of the end-to-end data lifecycle, such as scalable data management, ML performance, AI explainability, or sharing, while dismissing its governance. To overcome this limitation, CyclOps proposes a new framework for the governance and maintenance of the complete data lifecycle for large-scale volumes of data generated in heterogeneous distributed sources to enable data sharing and exchange. CyclOps intelligently automates, by means of knowledge graphs (KGs) and with a human-in-the-loop approach, the generation and execution of data processing pipelines. KGs are the established formal models to represent data and metadata while providing context and guaranteeing interoperability with other systems adhering to the FAIR Guiding Principles. CyclOps will enable organizations to seamlessly provide, cross and analyze machine- and human-generated data from and for data spaces, thus facilitating the provision of added-value services on top.

Keywords: structured and unstructured data integration,data spaces,interoperability,integrated governance,knowledge graphs,context,data life cycle automation,human in the loop,fair,gdpr
Pragmatic use of long-acting Oral Antiretrovirals in Africa (POA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Research and Innovation actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: United Kingdom,Uganda,Zimbabwe,Kenya,Côte d'Ivoire,Italy
Call: Developing novel, innovative HIV therapeutics for reducing the disease burden of HIV in sub-Saharan Africa (HORIZON-JU-GH-EDCTP3-2024-01-two-stage, 2024)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 5499083.03
EU funding (EUR): 5499083.03
Participants: 7
Project status: SIGNED

Despite tremendous/significant efforts to expand access to antiretroviral therapy (ART), in 2023 there were still 1.3 million new HIV infections worldwide and 630,00 HIV/AIDS-related deaths. There are 39.9 million people living with HIV worldwide (PLWH), and viral suppression rates for those on ART are below the UNAIDS target of 95%. Current ART guidelines recommend lifelong daily oral therapy which can be burdensome, and incomplete adherence risks treatment failure. Injectable long-acting (LA) ART formulations reduce the burden of taking tablets daily and could simplify adherence but are associated with implementation challenges in many settings. A novel regimen of weekly oral lenacapavir and Islatravir (LEN + ISL LA) has successfully completed phase II studies in the United States and could offer an LA treatment solution which is easier, both for individual patients and programmatic roll-out. However, no LEN + ISL LA trials have been conducted in sub-Saharan Africa, where 75% of PLWH live. We will conduct a phase III parallel-group, open-label, multi-country, multi-centre multi-country randomised, controlled trial in Uganda, Kenya, Côte d'Ivoire, and Zimbabwe. PLWH who are aged ≥18 years and virologically suppressed on daily oral first line ART (tenofovir, lamivudine, and dolutegravir) will be randomised to switch to LEN + ISL LA or remain on standard of care treatment. The primary outcome will be comparison of ongoing viral suppression rates between study arms at 48 weeks. We we will also use mixed Implementation Science methods to explore strategies, barriers, and facilitators for broader roll-out of oral LA ART, describe the overall pharmacokinetic profile of our new drugs across our study countries including some subpopulations, validate a urine assay for monitoring adherence, and carry out health economics evaluations to inform health policies. The project will be implemented by co-leads on each work packages to allow for capacity development.

Keywords: hiv aids,lenacapavir,islatravir,tenofovir,lamivudine,dolutegravir,switch,long acting,oral antiretroviral therapy,sub saharan africa
Scaling limits of particle systems and microstructural disorder (PASTIS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1121513.75
EU funding (EUR): 1121513.75
Participants: 1
Project status: SIGNED

The present proposal focuses on the role of microstructural disorder in the dynamics of many-particle systems. Due to the complexity of such systems, any practical description relies on simplified effective theories. In the tradition of Hilbert’s sixth problem, I aim at the rigorous large-scale derivation of effective theories from fundamental microscopic descriptions. In those derivations, the role of microstructural disorder has often been overlooked for simplicity. However, disorder is key to many systems and can lead to new behaviors. Understanding its effects in scaling limits of particle systems is, therefore, of fundamental interest. I have selected five model problems illustrating important aspects of the topic. The simplest regime is that of homogenization, where the effect of the disordered background averages out on large scales. For systems like particle suspensions in fluids, microstructural disorder is itself induced by particle positions; as these evolve over time, adapting to external forces, it can lead to nonlinear effects. Another aspect is the emergence of irreversibility: the transport of mechanical particles in a disordered background typically becomes diffusive on large scales, which gives for instance a microscopic explanation for electrical resistance in metals. I also consider the more intricate problem of self-diffusion, where irreversibility rather results from interactions with the ensemble of other particles themselves. A last important aspect concerns the emergence of glassiness, which results from the competition between interactions and disordered background. Mathematically, this proposal is at the crossroads between the analysis of partial differential equations and probability theory and it builds on tremendous recent progress in two of my fields of expertise: homogenization and mean-field theory. Their combination provides a timely and innovative framework for new breakthroughs on scaling limits of disordered particle systems.

Keywords: pde with random coefficients interacting particle systems disordered media microstructure scaling limits homogenization effective behavior mean field limits collective behavior kinetic limits irreversibility random drift particle suspensions flow induced microstructure active fluids quantum diffusion self diffusion thermalization lenard balescu equation
Climate-Conscious Conservation of Documentary Heritage: An Integrated Multiscale Modelling Approach (SustainCARE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Studies of Cultures and Arts
Panel description: Social anthropology, studies of cultur es, stud ies of arts
Countries involved: Austria
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): 2265860.0
EU funding (EUR): 2265860.0
Participants: 1
Project status: SIGNED

Climate change threatens our documentary heritage, while current preservation methods can inadvertently worsen the problem over time. Energy-intensive climate control systems not only contribute to the climate crisis but also exclude less affluent institutions from equitable access to effective conservation efforts. Moreover, limited understanding of degradation-environment interactions prevents confident relaxation of stringent climate control measures. To address these challenges, I propose a revolutionary approach: developing a holistic understanding of paper-based documentary heritage’s interaction with its environment across all scales—from the molecular level to the repository. By integrating hygrothermal dynamics with material degradation kinetics through innovative multiscale modelling, I will significantly advance our understanding of the complexity in the degradation processes of documentary heritage, unlock its untapped environmental resilience, and revolutionise our ability to predict and prevent damage in conservation. This project will begin by developing a comprehensive model that quantifies material-micro-environment interactions for detailed paper degradation analysis. Simultaneously, innovative multiscale hygrothermal models will be established to capture heat and moisture transfer from individual volumes to entire repositories. Finally, these models will be integrated into an open-source online tool for dynamic, spatially-resolved environmental risk assessment and predictive preservation planning. Global case studies will be designed throughout the project to validate the models across diverse cultural and climatic contexts. This pioneering methodology will transform preventive conservation by enabling precise degradation predictions, empowering data-driven decision-making, and catalysing a fundamental shift towards sustainable and inclusive heritage preservation in response to climate change.

Keywords: preventive conservation,environmental dynamics,paper degradation,environmental resilience,non destructive analysis,multiscale modelling,heritage science
Gestalts Relate Aesthetic Preferences to Perceptual Analysis (GRAPPA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Belgium
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 2497701.0
EU funding (EUR): 2497701.0
Participants: 1
Project status: SIGNED

"De gustibus et coloribus non disputandum est." With this slogan philosophers and lay people alike have dismissed all attempts to understand taste, color perception, or aesthetic preferences. Sense of beauty may just be too individual and too complex to qualify as target of scientific inquiry. Yet, since Fechner (1876), empirical aesthetics has studied the factors determining people’s aesthetic responses to art works and objects, scenes or events encountered in everyday life. Most accounts focus either on high-level concepts such as style, meaning and personal associations, or on low-level statistical properties. While the latter are supposed to be universal and biologically determined, the former are subject to cultural influences, art expertise and individual experiences. Progress in this tradition has reached its limits, which this project overcomes by investigating how Gestalts Relate Aesthetic Preferences to Perceptual Analysis (GRAPPA). Its pioneering working hypothesis is that the way perceivers organize their sensory inputs into meaningful entities (Gestalts) provides the missing link between the two traditional sets of explanations. This hypothesis is fleshed out and tested in a coherent research program linking aesthetic preferences for images of paintings and everyday photographs to general principles of perceptual organization as well as to specific aesthetic concepts like composition, balance and visual rightness. New data from online studies with large samples of images and participants will be analyzed with state-of-the-art computational methods (machine learning) to reveal the critical mid-level factors. This will yield a model to predict aesthetic preference, which will be tested in well-controlled psychophysical and behavioral experiments (e.g., eye-movement recording) and validated also in ecologically richer settings (e.g., in galleries and art museums) and in unconventional cross-over collaborations with contemporary artists.

Keywords: empirical aesthetics,psycho aesthetics,perceptual organization,gestalt,image,visual art
Dynamic Cross Sections and Heterogeneity in Macroeconomics (DCS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: Italy
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 1447893.0
EU funding (EUR): 1447893.0
Participants: 1
Project status: SIGNED

A main challenge for modern macroeconomics is to understand the consequences of the sizeable heterogeneity across households and firms, a feature ignored by textbook representative-agent models. Important questions arise on the role that such heterogeneity plays in the workings of the economy and its ability to respond to shocks in the presence of frictions and lumpy behavior (infrequent large adjustments), as is the case for durable purchases, technology adoption, portfolio adjustments, investment and price re-setting. We develop new methods to characterize the equilibrium dynamics of rich distributions, for a rigorous understanding of the forces that impinge on the aggregate economic behavior in the presence of realistic heterogeneity. We apply the methods to two set of macroeconomic problems. First, mapping models to data and the economy’s response to shocks. For a broad class of models with lumpy behavior we analyze aggregation and develop methods to identify and quantify the fundamental frictions the agents face. The methods will be used to characterize the economy's response to aggregate shocks and identify the cross section features that matter (and those that do not) in shaping the aggregate response. Applications concern investment, labor and housing markets, inequality and growth, and new-keynesian models. Second, a rigorous analysis of dynamic strategic complementarities and network effects. The dependence of one agent's decision on what other agents do is key in modelling aggregate dynamics and relevant in reality. For instance, a firm may be slow to react to a shock because other firms have not yet reacted. To date there are no results to guide us in the analysis of such complementarities in dynamic models with heterogeneity. Several applications, including the amplification of monetary nonneutrality, and the dynamic network effects of introducing e.g. central bank digital currency, will be explored.

Keywords: heterogeneity,equilibrium dynamics,inflation,unemployment,mean field games
Affective Polarization and Democratic Attitudes (DEPOLARIZE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Türkiye
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-11-01
End date: 2028-10-31
Duration (months): 60.0
Total project cost (EUR): 1499740.0
EU funding (EUR): 1499740.0
Participants: 1
Project status: SIGNED

We currently witness democratic backsliding around the world where political rights, civil liberties, and free and fair elections are under assault. At the same time, politics in many countries are increasingly characterized by hostility and distrust across partisan lines; a phenomenon called affective polarization. Could there be a causal link between the two? Despite several theoretical conjectures about how affective polarization erodes democracy through its negative effects on citizens’ democratic attitudes, we lack the evidence to support them. We also do not have reliable interventions to reduce affective polarization that are generalizable to different contexts. DEPOLARIZE addresses these puzzles around affective polarization with two objectives. First, it will identify reliable and generalizable experimental interventions to reduce affective polarization in multiple contexts. Second, it will establish any causal relationship between affective polarization and changes in democratic attitudes through novel empirical approaches. DEPOLARIZE will achieve these goals by producing and analysing high-quality observational and experimental data from multiple waves of surveys in Hungary, Poland, Turkey, and the US. These countries are selected for analyses because they have recently experienced democratic backsliding to different degrees, and they are also examples of high levels of affective polarization in society. The stakes for identifying factors contributing to democratic backsliding could not be any higher. DEPOLARIZE will contribute to this effort by establishing whether affective polarization is a factor driving democratic backsliding using state-of-the-art causal inference methods. DEPOLARIZE is also one of the first projects in political science to employ comprehensive measures for cumulative learning: coordinated and comparable randomized controlled trials in multiple contexts with pre-registration of experimental interventions.

Keywords: affective polarization,democracy,democratic attitudes,democratic backsliding
Ecosystem recovery dynamics and their response to climate change and habitat fragmentation (RECODYN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: Spain
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1999315.0
EU funding (EUR): 1999315.0
Participants: 1
Project status: SIGNED

Global change degrades ecosystems worldwide. To mitigate its effects is the environmental challenge of our age, and restoration has emerged as the main strategy to stem the biodiversity crisis and repair damaged ecosystems. Despite substantial progress on the number of restoration studies and datasets, there is a fundamental gap in our understanding and prediction of the patterns and mechanisms underlying ecological restoration and how they are altered by global change. The goal of RECODYN is to determine the recovery rates and trajectories of biodiversity, community structure and ecosystem functioning in complex multitrophic communities, and how climate change and habitat fragmentation – two of the largest threats to biodiversity and ecosystems in terrestrial systems – influence those dynamics. To achieve this, I will use an integrative approach that combines the development of new theory on metacommunities and temperature-dependent food web dynamics in close dialogue with a unique long-term terrestrial mesocosm experiment. RECODYN is articulated around three objectives. First, I will investigate differences between natural assembly and recovery dynamics. Then, I will determine the effects of global change – i.e. climate change and fragmentation – on biodiversity, community structure, spatial and temporal stability, and key ecosystem functions of recovering ecosystems. Finally, I will provide creative solutions to restore ecosystems in a warmer and more fragmented world. RECODYN proposes an ambitious integrative and innovative research program that will provide a much-needed new perspective on ecological restoration in an era of global change. It will greatly contribute to bridging the gap between theoretical and empirical ecology, and to move restoration from an idiosyncratic discipline to a more predictive science. RECODYN will foster links with environmental policy by providing new restoration measures that derive from our theoretical and empirical findings.

Keywords: ecological restoration,global change,climate warming,habitat fragmentation,communities,species interactions