Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Evolutionary Mechanisms in the Milky waY: the Gaia Data Release 3 revolution (EMMY)

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: France
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): 211754.88
EU funding (EUR): 211754.88
Participants: 1
Project status: CLOSED

The understanding of our home Galaxy stands at a crossroads. Thanks to the Gaia mission of the European Space Agency, combined with ground-based surveys, previously unexplored portions of the Milky Way have recently been mapped, opening a new era in Galactic Astronomy and Astrophysics. In 2022, Gaia Data Release 3 will publish the largest chemical and radial velocity stellar catalog ever created. For the first time, chemical abundances of stellar atmospheres will be linked to the positions and motions of stars over the entire sky. Taking advantage of the unprecedented wealth of chemo-dynamical data, the EMMY project aims to tackle outstanding questions about the mutual interplay of different evolutionary mechanisms in the Galactic disc, including the influence of the Milky Way’s satellite galaxies, along with secular evolutionary processes. Specifically, the EMMY project aims to: 1) map chemo-dynamical inhomogeneities in the Galactic disc; 2) determine the extent to which the observed inhomogeneities can be attributed to internal processes, such as the actions of the spiral arms or the bar; 3) constrain the role of external influences, such as satellite interactions, on the disc evolution. The objectives will be assessed through an optimised Galactic cartography, which will link inhomogeneities in stellar density, velocity, chemistry; observational results will be then compared to cosmological simulations and chemical evolution models, to constrain spiral arms formation scenarios and disc heating processes. The multidisciplinary nature of the project is strong, combining interdisciplinary knowledge of astronomy, physics, statistics, data mining, and big data analysis. The results of the proposed project are expected to give a cohesive, statistically robust, accurate, and informative picture of the physical processes in the Galactic disc, which have the potential to represent an important contribution to our understanding of the Galaxy and its place in the Universe.

Keywords: galactic astronomy,galactic archaeology,galactic disc,galactic chemo dynamics,gaia satellite
AdvancementS in Social Economy through Technological Solutions (ASSETS)

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: Greece,Denmark,Germany,Italy,Spain,Türkiye,Belgium,Romania,Bulgaria
Call: The role of social economy in addressing social exclusion, providing quality jobs and greater sustainability (HORIZON-CL2-2024-TRANSFORMATIONS-01, 2024)
Start date: 2024-11-01
End date: 2027-10-31
Duration (months): 36.0
Total project cost (EUR): 2999593.75
EU funding (EUR): 2999593.75
Participants: 15
Project status: SIGNED

The Social Economy (SE) sector constitutes over 10% of all EU enterprises, sustaining around 13.6 million job positions. Despite its significant role, Social Economy Organizations (SEOs) face substantial policy and legal challenges, including funding shortfalls and difficulties in scaling, underscoring the need for thorough investigation. While often acknowledged as innovative contributors to social inclusion, some criticize them for allegedly advancing a neoliberal agenda. Controversies persist, primarily due to challenges in measuring the social impact of SEOs and discerning their outcomes compared to mainstream social inclusion providers. To delve into this discussion, there is a pressing need to enhance evaluation tools for measuring the impact of SE on social inclusion. Although various approaches exist, they are primarily linked to improved accountability and external evaluation guidelines, commonly overlooking local needs and specificities. Concurrently, transnational reports indicate that SE employees, on average, receive lower compensation, experience more precarious jobs, and face informal working conditions. Therefore, there is an urgent need to broaden the scope of social impact assessment beyond service beneficiaries, incorporating the impact on SE employees. In this context, technological advancements hold the potential to support SE progression, with platform cooperatives emerging as influential contributors committed to citizen involvement and improving members' working conditions through collaborative governance. Against these backdrops, ASSETS employs a four-step strategy to explore SE's impact on social inclusion, quality job provision, and sustainability: conducting research and case studies spanning regions both within and outside the European Union, improving evaluation tools through local integration and technological advancements, and creating a digital collaborative platform to engage stakeholders and enhance working conditions within SE.

Keywords: social inclusion,cross regional research,social impact,evaluation tools,cooperative platform,case studies
Dynamics underlying learning in complex environments (DULCE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: France
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): 1925875.0
EU funding (EUR): 1925875.0
Participants: 1
Project status: SIGNED

Learning and adaptation play a central role in interacting with a changing environment, yet the neural substrate underlying such flexible, goal-directed behaviors has remained elusive. Neuroscience experiments have traditionally focused on how individual brain regions perform abstract, highly simplified tasks. However, recent technological advances, coupled with powerful AI-accelerated software, have rapidly enabled the monitoring of large populations of neurons over many days, across multiple brain regions, and during increasingly complex, naturalistic behaviors. Yet even with such data within our reach, we still lack the theoretical and quantitative tools that are necessary to understand the fundamental principles guiding learning in neural populations. DULCE aims to fill this gap by establishing a unified framework to understand learning in complex environments. The core hypothesis of DULCE is that in naturalistic conditions, learning engages multiple co-occurring learning processes that are distributed across the brain, and which work together to reshape neural dynamics to perform new tasks. As such, DULCE aims to uncover the behavioral, population- level, and synaptic learning rules responsible for guiding learning in complex environments. By interweaving statistical modelling, dynamical systems theory and machine learning, DULCE will: i) Develop hierarchical models of behavior that can disentangle the rules governing simultaneously occurring learning processes. ii) Provide a unified theory of how region-specific learning rules in the cortex, cerebellum, and striatum coordinate to form a distributed learning system. iii) Develop interpretable dimensionality reduction methods to identify the rules governing how task-relevant dynamics evolve in large-scale neural data over learning. Through this three-pronged attack, DULCE aims to lay the foundation necessary to uncover the neural mechanisms controlling the Dynamics Underlying Learning in Complex Environments.

Keywords: learning,naturalistic behavior,neural population data,cerebellum,motor cortex,basal ganglia,machine learning,recurrent neural networks,dimensionality reduction,motor control
Mechanisms of Early Language Acquisition (MELA)

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: Spain,France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-09
End date: 2025-01-08
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: CLOSED

Successful communication in humans critically depends on two aspects of language development: how many words we know (vocabulary growth) and whether we know how to combine them to understand and express meaningful ideas (semantic organization). This fellowship is designed to examine the role of early language environment in shaping these two aspects of language development. This aim will be addressed by conducting a longitudinal investigation of lexical development between 9 and 18 months of age. This will make it possible to map the structure of individual parents’ speech to the individual language development of their children. The focus on individual development promises not only to advance our theoretical understanding of typical development, but also to inform theory-based enrichment programs for atypical lexico-semantic development. To achieve these aims, the proposed research will strengthen connections between two fields in infant research, language acquisition and semantic development. Additionally, it will use a combination of complementary methods: analyses of naturalistic language input, parental reports, experimental paradigms, and cognitive modeling. Bridging the two research fields through a multi-method approach places this fellowship at the intersection of the fellow’s current expertise and the research lines currently active at the host institution (BCBL). Specifically, the semantic development aspect builds on the fellow’s strong background in category learning and lexico-semantic organization, while the language acquisition part aligns closely with the BCBL’s research lines. On the methodological side, the fellow will bring expertise in experimental designs, while skills related to the longitudinal approach, infant research, and cognitive modeling are those that the fellow will develop by training during this fellowship. Hence, this fellowship will strongly support the development of the prospective fellow’s independent line of research.

Keywords: semantic development word learning distributional semantics naturalistic language input
Evolutionary Island Biogeography: Origins and Maintenance of Fish Biodiversity in Marine Lakes (ADAPTIVEISLANDS)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 203464.32
EU funding (EUR): 203464.32
Participants: 1
Project status: CLOSED

For over 150 years, insular environments have played a key role in biological research, as they provide an explicit spatial and temporal context in which to study the processes behind biodiversity. Traditionally, the origin and maintenance of biodiversity in islands has been studied from the ecological aspects of biogeography such as immigration, colonization and extinction, while microevolutionary processes such as adaptation were ignored. Biodiversity in islands depends not only on colonization, but also on the successful establishment via biological adaptations, and on speciation. The integration of microevolution with Island Biogeography Theory (IBT) is a crucial next step. Here I propose to use marine lakes –islands of seawater surrounded by land– to shed light on the origin and maintenance of fish biodiversity by understanding the interaction between colonization, extinction and adaptation. To achieve this, I will compare marine lakes of similar ages, sizes and environmental conditions, but differing in the level of isolation to the sea, in Raja Ampat, Indonesia. First, I will examine how isolation and fish dispersal-related traits affect species diversity and composition in marine lakes. I will document marine lakes biodiversity patterns using video camera recordings and I will collate information on traits from public data repositories. Second, I will test how isolation affects colonization and extinction by documenting historic colonization-extinction dynamics (750 years before the present) using eDNA from sediment cores. Finally, I will test how isolation affects local adaptation by examining signatures of adaptation in marine lakes with different levels of connectivity to the sea using population genetics. This unique combination of study system, data, and novel analyses to integrate microevolution with IBT, will provide a more comprehensive understanding of the process responsible for the origin and maintenance of biodiversity.

Keywords: island biogeography theory,marine biodiversity,isolation,dispersal,fish,colonization extinction dynamics,local adaptation,marine lakes,edna,microevolution,islands as model systems
Development of a cell immunotherapy targeting non-conventional tumor antigens in ovarian cancer (OVACell)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2024-03-01
End date: 2026-04-30
Duration (months): 26.0
Total project cost (EUR): 3650067.5
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Ovarian cancer represents the most lethal gynecological cancer and one of the deadliest cancers in women globally, it affected more than 80 0000 women worldwide in 2022 and killed 207000 the same year, 25000 only in Europe. A woman's risk of getting ovarian cancer during her lifetime is about 1 in 78. Due to the non-specific nature of the symptoms, it is hard to early detect ovarian cancer, and there is currently a lack of effective screening tools for an early diagnosis. Consequently, 75% of patients are diagnosed at an advanced stage leading to poor outcomes, and strongly reducing their chances for survival: only 30-40% five years after diagnosis. Even though several treatments are currently approved for ovarian cancer, they present several limitations and fail to meet the high medical need. Indeed, 2/3 of patients do not respond to available treatments or relapse after 1st- and 2nd-line treatment. ErVaccine aims to provide an innovative solution by developing a new generation of TCR-T cell therapy targeting non-conventional antigens. With its advanced proprietary bioinformatic platform, ErVaccine successfully identified antigens derived from human endogenous retroviruses (HERVs) that exhibit abnormal expression exclusively in cancer cells and shared by a high proportion of patients. From this work, the company developed TCR-OV1, a TCRT-cell therapy with a demonstrated efficacy profile in in vitro and ovarian cancer animal models. We expect no major safety concern as we did not observe any toxicity in our preclinical models and based on the specific HERV expression in the tumors. Now, ErVaccine wants to accelerate the development of its solution by scaling-up its small-scale manufacturing process and demonstrating in humans the efficacy and safety of TCR-OV1. TCR-OV1 has the potential to be a transformative therapy for ovarian cancer, being the first safe and efficient TCR-T cell therapy in this indication.

Keywords: ovarian cancer,immunotherapy,t cell therapy,bioproduction,women health,novel tumor antigens
Novel electroactive polymeric materials for dielectric elastomers actuators and soft robots (EPOMA DESO)

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: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2025-02-28
Duration (months): 30.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: CLOSED

Interfacing between humans and machine using the sense of touch through ‘haptic devices’, is becoming increasingly important for consumer electronics, robotics, medical and automotive applications. One bio-inspired way to achieve this is by developing soft haptic skins that can both part and receive information through touch. However, developing soft haptic skins which have a significant tactile response and are robust enough for daily use in heavy use consumer applications is challenging. Our approach uses novel self-healing elastomers to create haptic skins in the form of dielectric actuators. By combining the self-healing elastomers with custom design approaches we also show higher spatial resolution and a larger tactile response in comparison to existing approaches. This allows for the creation of transparent, highly stretchable and self-healing haptic skins opening up their use in far more heavy use domains. The market for haptic devices is large, and is estimated to reach $4. 5 billion by 2026. This is particularly driven by the need for novel machine-human interactions in the automotive, industrial machinery and medical industries. These market segments require reliable, robust haptic skins which can withstand high usage whilst providing a strong tactile response. We believe our haptic skin will allow for implementation and use in these high value target markets allowing for haptic skins to be used in a wide range of new and exciting application areas. The aim of this project is to bring our haptic skin to market by: performing market studies to quantify the economic margin and identify most promising markets; establishing links with industrial partners and customers; developing and optimizing haptic skins for robustness and tactile response to meet the demands of industry partners; running user studies using the proof-of-concept devices to benchmark and establish the benefits to industry.

Keywords: electroactive polymers,self healing,dielectric elastomers actuators,liquid metal,soft robots
Anthropogenic Environments in the Future Tense: Loss, Change and Hope in Post-Soviet Industrial Landscapes (ANTHEFT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1853329.0
EU funding (EUR): 1853329.0
Participants: 1
Project status: SIGNED

Driving from the airport towards the Kazakh capital Nur-Sultan will carry the passenger past the new EXPO building with its permanent exhibition on Kazakhstan’s bright future of smart green energy while in the distance the skyscraper silhouette of the ultra-modern city centre is clouded in smog. In Kazakhstan as elsewhere in Central Asia, the future of the country’s industrial heritage polarises the public. In the 20th century, Central Asia was transformed into a hub of rapid industrialisation but mining and industrial towns experienced a critical time with collapsing industries and infrastructure during the 1990s. This not only left people economically vulnerable but touched at the very core of local identity in a socio-cultural setting where urbanity epitomises civilisation, modernity, culturedness and wellbe-ing. Simultaneously, the environmental costs of resource extraction and industrial production became visible. Calls for a global shift towards reducing environmental impact also resonate in post-socialist countries, often in a top-down manner. The voices of those living in and with these places are rarely heard. Juxtaposing different experiences raises questions of environmental justice, future livelihoods and feelings of nostalgia for different pasts. This is where ANTHEFT comes in. ANTHEFT pursues three objectives at the interface of work and environment in polluted landscapes: 1) identify temporalities, affects, future(s) and memory, 2) de-scribe discursive strategies by which local communities express and make sense of their so-cio-economic and environmental histories and identities, 3) analyse local understandings and morali-ties of environmental damage, progress, good living and place-making. ANTHEFT is a ground-breaking project that proposes to venture into a long durée, translocal research on Central Asian industrial work and environment from the late 18th century to the present incorporating disparate memories, perspec-tives and experiences.

Keywords: environmental anthropology and history,post soviet asia,industrial work,environmental pollution,multiple memories,gis