Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Unde venis? Unraveling the enigma of stećci tombstones (STONE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Slovenia,Serbia
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-05-01
End date: 2029-04-30
Duration (months): 60.0
Total project cost (EUR): 2778380.0
EU funding (EUR): 2778380.0
Participants: 3
Project status: SIGNED

Stećci are medieval tombstones dispersed throughout Bosnia and Herzegovina, Croatia, Montenegro and Serbia. Still preserved in situ in tens of thousands in the landscapes, they are common grave markers of the Late Medieval and early Ottoman (12th C - 16th C) Western Balkans’ plural societies. Although erected in the geographical region known for the ‘medley of peoples,’ stećci are not attributed to any ethnic or religious group and have always been considered enigmatic, lacking a clear, explicit belonging. The sheer number and dispersed distribution have hampered stećci scholarship, confining our understanding of this heritage to visual information and historical overviews. This multi-scale, multi-proxy archaeological project will integrate innovative and multidisciplinary approaches to study medieval funerary archaeology. The principal goal is to understand the social life of the society that left us these remarkable monuments. Focusing on medieval Herzegovina, the cradle of the stećci phenomenon, the proposed research into the social lifeways of these monuments will redefine the scholarship of the medieval Western Balkans funerary culture and situate it within a European context, significantly raising its visibility within international scholarship and the public domain. In addition to increasing our understanding of stećci, STONE will establish a discipline of medieval epigraphy in the Western Balkans; introduce epiconography, a conceptually innovative approach to study inscriptions and decorations on stećci; use a prehistoric landscape approach to investigate medieval landscape and initiate a paradigmatic shift away from the current culture-historical approach to the study of past societies. The proposed research will serve as a propulsive force within Western Balkan medieval archaeology, enabling it to make a decades-long leap to align with current medieval European funerary and research trends.

Keywords: medieval archaeology,funerary archaeology,social archaeology,social memory,archaeological science,digital humanities
WeatherGenerator (WeatherGenerator)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Technology and infrastructures
Action type: Research and Innovation actions
Countries involved: United Kingdom,Germany,Norway,Netherlands,France,Sweden,Italy,Türkiye,Slovakia,Switzerland
Call: New digital twins for Destination Earth (HORIZON-INFRA-2024-TECH-01, 2024)
Start date: 2025-02-01
End date: 2029-01-31
Duration (months): 48.0
Total project cost (EUR): 15934262.11
EU funding (EUR): 14994619.25
Participants: 16
Project status: SIGNED

This project will build the WeatherGenerator – the world’s best generative Foundation Model of the Earth system – that will serve as a new Digital Twin for Destination Earth. The WeatherGenerator will be based on representation learning and create a general and versatile tool that models the dynamics of the Earth system based on a large variety of Earth system data. The WeatherGenerator will be task-independent and will improve results for a wide range of machine learning applications when compared to task specific machine learning tools. It will also be more resilient for climate applications when the underlying data distributions are changing, and it will lead to a significant reduction in computational costs and faster turnaround times. To achieve this, we will: (1) Collect and use the most important datasets of Earth system science including data from Digital Twins of Destination Earth, selected observations, analysis and reanalysis datasets, and output of conventional Earth system models. (2) Build the WeatherGenerator as a novel representation learning-based machine learning tool that exploits the full potential of Europe’s largest supercomputers. (3) Engage with the wider community via services and apply the WeatherGenerator for 22 selected applications that can be integrated into the Destination Earth framework. The applications include global and local predictions, local downscaling, data assimilation, model post-processing, and impact applications in the domains of renewable energy, water, health and food. The project consortium that will build the WeatherGenerator consists of experts in machine learning, supercomputing and Earth system sciences, and includes industry, SMEs, and leading operational weather centers. The WeatherGenerator will lead to key innovations in weather and climate science and machine learning to enable Europe to establish and defend leadership with respect to machine-learning based Earth system modelling.

Keywords: earth system science machine learning high performance computing foundation model weather and climate predictions representation learning big data digital twins
Between Canon and Coincidence: using data-driven approaches to understand Art Worlds (BECACO)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1498695.0
EU funding (EUR): 1498695.0
Participants: 1
Project status: SIGNED

The BECACO project applies a novel multidisciplinary framework to studying the provenance of ethnographic and archaeological collections. Moving away from the current focus in provenance research on single objects, collectors, or institutions, the aim of the project is to reconceptualize provenance as the large-scale study of the socio-politico-historical conjunctures that led to the translocation of cultural material. To do so, it introduces the concept of Art World Patterns, an expansion and reframing of the idea of Art Worlds (Becker 2008[1982]). These patterns will be identified through an innovative combination of various data-driven methodologies. By applying quantitative analyses, network analysis, and data mining on a large corpus of provenance data, the project will explore the promises and limitations of different data-driven approaches in the context of large-scale ethnographic/archaeological provenance research. Through this process, the project will devise new models for provenance research in ethnographic and archaeological museums. These conceptual and methodological advances will be mobilized through the study of Indigenous Latin American material from 12 museums in 9 countries. The project will create a ground-breaking diachronic, international, and cross-institutional understanding of the collecting of Indigenous Latin American material in Europe. In doing so, the BECACO team will reconstruct how – through the formation of collections – the Indigenous Latin American Art World as it existed in Europe between 1850-2000 constructed a discourse of art, aesthetics, and academic research that shaped how Indigenous Latin America is represented and understood in Europe until today.

Keywords: latin american archaeology,latin american ethnography,collection history,provenance research,art market studies
European Technology and Innovation Platform for Ocean Energy (ETIP OCEAN)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Coordination and support actions
Countries involved: Belgium,United Kingdom
Call: Support to the energy stakeholders to contribute to the SET-Plan (H2020-LCE-2016-ETP, 2016)
Start date: 2016-12-01
End date: 2018-11-30
Duration (months): 24.0
Total project cost (EUR): 621250.0
EU funding (EUR): 621250.0
Participants: 2
Project status: CLOSED

For ocean energy to grow it is essential that all stakeholders provide a unified approach, together. ETIP Ocean will create a platform for such an approach, and will encourage and promote collective development of stakeholder networks. Through transfer of experience and lessons learnt, duplication of effort will be avoided, helping the sector overcome barriers and challenges efficiently. ETIP Ocean will support the Technology Platform for ocean energy, and assist the EC and Member States in defining research programmes, financial instruments and addressing barriers to the development of the sector. This in turn will provide the SET-Plan with input from a wide range of stakeholders, facilitating development and roll-out of its activities. ETIP Ocean will create cohesion amongst stakeholders through a series of webinars, interview sessions, surveys, workshops and conferences, specific to the priority needs of the sector. These will be determined at the beginning of the project. The project activities will look at technical and non-technical barriers, with specific focus on technology development, environmental and socio-economic issues, and financial issues affecting the sector. Activities will be aligned with events of existing initiatives to maximise the number of participants engaged. These activities will feed into a single integrated strategy report, which will be the result of the work carried out over the project lifetime. The document will present a united vision of the sector and provide recommendations to take the ocean energy industry to commercialisation. In addition to sector specific activities, the project will engage civil society through guest speaker, conference attendance opportunities, and through interactive and downloadable educational materials. It is through the engagement with a range of stakeholders that ETIP Ocean will act as a one-stop-shop for the ocean energy sector to create a cohesive approach to identifying and overcoming challenges

Keywords: ocean energy,tp ocean
Making Clinical Sense: A comparative study of how doctors learn in digital times (DigitalDoctors)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-03-01
End date: 2023-05-31
Duration (months): 87.0
Total project cost (EUR): 1361507.0
EU funding (EUR): 1361507.0
Participants: 1
Project status: SIGNED

Digital technologies are reconfiguring medical practices in ways we still don’t understand. This research project seeks to examine the impact of the digital in medicine by studying the role of pedagogical technologies in how doctors learn the skills of their profession. It focuses on the centuries-old skill of physical examination; a sensing of the body, through the body. Increasingly medical students are learning these skills away from the bedside, through videos, simulated models and in laboratories. My research team will interrogate how learning with these technologies impacts on how doctors learn to sense bodies. Through the rich case of doctors-in-training the study addresses a key challenge in social scientific scholarship regarding how technologies, particularly those digital and virtual, are implicated in bodily, sensory knowing of the world. Our research takes a historically-attuned comparative anthropology approach, advancing the social study of medicine and medical education research in three new directions. First, a team of three ethnographers will attend to both spectacular and mundane technologies in medical education, recognising that everyday learning situations are filled with technologies old and new. Second, it offers the first comparative social study of medical education with fieldwork in three materially and culturally different settings in Western and Eastern Europe, and West Africa. Finally, the study brings historical and ethnographic research of technologies closer together, with a historian conducting oral histories and archival research at each site. Findings will have impact in the social sciences and education research by advancing understanding of how the digital and other technologies are implicated in skills learning. The study will develop novel digital-sensory methodologies and boldly, a new theory of techno-perception. These academic contributions will have practical relevance by improving the training of doctors in digital times.

Keywords: anthropology of the body,comparative anthropology,sensory ethnography,enskilment,sensing,oral history,social studies of medicine,medical education,medical technology,technology and embodiment
Boron chemistry in a new light: exploring the radical reactivity of boronate complexes through photochemical strategies (PHOTO-BORAD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-03-01
End date: 2019-02-28
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

In the last decade photoredox reactions have emerged as tremendously versatile processes for organic synthesis, enabling reactive radical species to be generated at specific positions in an organic molecule under very mild conditions (visible-light irradiation). Over the same decade the host group have developed a suite of transformations exploiting the fundamental chemistry of boron, many of which involve 1,2-metallate rearrangement of boronate complexes. We now seek to merge these two major pillars of synthetic methodology, which are currently unconnected, to create a new field which we believe has significant potential for organic synthesis. We propose to react electrophilic radicals generated through photoredox catalysis with vinyl boronate complexes. Oxidation of the resulting intermediate radical during the photoredox cycle will trigger 1,2-alkyl migration, creating new C-C and C-B bonds. 1,2-Metallate rearrangements normally employ leaving groups adjacent to boron but here we are proposing to oxidise a radical adjacent to a boronate to achieve the same transformation, a process that has not been previously reported. 1,2-Metallate rearrangements are stereospecific, and this will be exploited in the creation of enantioenriched products starting from readily available chiral boronic esters. The scope of the process will be carefully investigated, and mechanistic studies will be carried out using advanced physical/chemical methods, thereby laying solid foundations for the development of this new field. By combining two major fields of endeavour, novel chemistry will emerge with new structures harbouring novel properties for exploitation. Furthermore this project will enable significant knowledge transfer between host and researcher, while forging new academic network links within the scientific community.

Keywords: photoredox,boron chemistry,metallate,rearrangement,alkyl shift,radical chemistry
Random Tensors and Field Theory (RTFT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany,France
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-09-01
End date: 2024-08-31
Duration (months): 60.0
Total project cost (EUR): 1672084.0
EU funding (EUR): 1493934.54
Participants: 2
Project status: SIGNED

The large-N limit in field theory restricts the perturbative expansion to specific classes of Feynman diagrams. For vectors the restricted class of diagrams is simple, and one can analytically solve the models. For matrices, the large-N limit is simple in zero dimensions but is exceedingly complicated in higher dimensions. I proved that going one step up in the rank and considering tensor fields things simplify again, but not to the level of the vectors. I established the 1/N expansion of random tensors and discovered a new (and the last possible) universality class of large-N field theories: the melonic theories. As pointed out by Witten, these theories yield nontrivial, strongly coupled conformal field theories in the infrared. The aim of this project is to perform an exhaustive study of the melonic universality class of tensor field theories and their infrared conformal field theories. I aim to extend maximally the melonic universality class, study the renormalization group flow in melonic theories and apply them to the AdS/CFT correspondence and quantum critical metals.

Keywords: large n limit,tensor models,conformal field theory
Development of New digital Microphone-MEMS-Sensors for wind tunnels with open/closed test sections and flight tests (AEROMIC)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Spain,Austria,Germany,Norway
Call: Development of New digital Microphone-MEMS-Sensors for wind tunnels with open/closed test sections and flight tests (H2020-CS2-CFP11-2020-01, 2020)
Start date: 2021-01-01
End date: 2023-06-30
Duration (months): 30.0
Total project cost (EUR): 1749710.0
EU funding (EUR): 1399990.0
Participants: 6
Project status: SIGNED

AEROMIC aims at envisioning an innovative sensor technology for aeroacoustic measurements based on high performance MEMS microphones integrated as microphone arrays, and the development of a compact smart sensor surface through the integration of sensors and electronic components using vertical integration technology. The main objective of this proposal is the development of novel high performance digital wall-mounted microphone-MEMS-sensors for surface unsteady pressure and wall shear stress measurements for future noise reduced large passenger and other aircrafts. Novel miniaturized piezoelectric and piezoresistive MEMS microphones with properties exceeding the state-of-the-art in terms of bandwidth, sensitivity, dynamic range and robustness will be developed to capture the unsteady pressure fluctuations underneath the turbulent boundary layer with very high spatial and temporal resolutions in a very broad frequency range. The two MEMS microphones can be optimized for the wind-tunnel testing (WTT) and flight testing (FT) applications as required, respectively.

Keywords: piezoelectric mems microphone,piezoresistive mems microphone,aeroacoustic measurement,microphone array,wind tunnel test,flight test,turbulent boundary layer,noise reduction
Decomposing Heterogeneity in Autism Spectrum Disorders (AUTISMS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Italy,Cyprus,United States
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 1499444.0
EU funding (EUR): 1122969.85
Participants: 3
Project status: SIGNED

Autism spectrum disorders (ASD) affect 1-2% of the population and are a major public health issue. Heterogeneity between affected ASD individuals is substantial both at clinical and etiological levels, thus warranting the idea that we should begin characterizing the ASD population as multiple kinds of ‘autisms’. Without an advanced understanding of how heterogeneity manifests in ASD, it is likely that we will not make pronounced progress towards translational research goals that can have real impact on patient’s lives. This research program is focused on decomposing heterogeneity in ASD at multiple levels of analysis. Using multiple ‘big data’ resources that are both ‘broad’ (large sample size) and ‘deep’ (multiple levels of analysis measured within each individual), I will examine how known variables such as sex, early language development, early social preferences, and early intervention treatment response may be important stratification variables that differentiate ASD subgroups at phenotypic, neural systems/circuits, and genomic levels of analysis. In addition to examining known stratification variables, this research program will engage in data-driven discovery via application of advanced unsupervised computational techniques that can highlight novel multivariate distinctions in the data that signal important ASD subgroups. These data-driven approaches may hold promise for discovering novel ASD subgroups at biological and phenotypic levels of analysis that may be valuable for prioritization in future work developing personalized assessment, monitoring, and treatment strategies for subsets of the ASD population. By enhancing the precision of our understanding about multiple subtypes of ASD this work will help accelerate progress towards the ideals of personalized medicine and help to reduce the burden of ASD on individuals, families, and society.

Keywords: autism,precision medicine,heterogeneity,subtypes,stratification,development,toddler,connectome,phenome,big data,brain,gene expression,fmri,clustering,biomarker