Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Society, Practice, Innovation: A Case Study from Noricum (SPIN)

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: Italy,Hungary,Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 3
Project status: SIGNED

The aim of the SPIN project is to assess the emergence of pottery wheel-throwing and potters’ skill in 100 BC – 400 AD Eastern Alps, that would become the Roman province Noricum. Adopting a novel method to identify continuous and divergent learning trajectories, the transmission of technological knowledge will be elucidated, while also considering Roman expansion that had an impact on the scale and organisation of pottery production. As an important hub for trade networks, Noricum is an excellent case study to understand how and why wheel-throwing can be differently adopted by craft communities and how important social interactions are in the assimilation of the new technique. The earliest stratigraphic contexts in Noricum comprise both handmade and wheel-thrown pottery, yet the implications of such co-existing divergent technological traditions remain poorly understood. Why did some communities adopt the wheel-throwing technique, and why did others reject it? The SPIN project combines archaeological approaches with aspects of social anthropology relating to potters’ skill, together with a host of archaeological science techniques, including OM, XRF, XRPD, isotope analysis and SEM. It also incorporates, in an innovative manner, SANS analysis, experimental replication, as well as Digital Humanities (e.g., GIS and SNA), to gain insight in the scale and output of production and to assess the impact of expanding Roman culture on workshop location and organisation. By distinguishing distinct learning traditions, the project holds the key to understanding the norms and traditions that regulated ancient craft communities. This permits ground-breaking insights that challenge apparent generalisations about the adoption of pottery wheel-throwing, particularly regarding underlying social networks among craft communities, and it will highlight social interactions between them and other communities in Noricum.

Keywords: technological innovation,pottery wheel throwing,communities of practice,noricum
From A to B: Generalizing the mathematics of artificial neural networks (ANNs) to biological neural networks (BNNs) (A2B)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-05-01
End date: 2029-04-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Why does the brain outperform AI? Artificial neural networks (ANNs) are at the core of the AI revolution. In the past years, enormous efforts have been made to unravel their mathematical properties, leading to fundamental insights and mathematical guarantees on when and why deep learning works well. ANNs are inspired by biological neural networks (BNNs) but differ in many respects: ANNs represent functions while BNNs represent stochastic processes, and the gradient-based deep learning applied for ANNs is very different from the local updating of BNNs. BNNs are superior to ANNs in the sense that the brain learns faster and generalizes better. Despite the urgency for answers and the rich and interesting mathematical structures that BNNs create, scarcely any theoretical attempts have been made to understand learning in the brain. The stochastic process structure of BNNs and the need to understand the statistical convergence behavior call for a mathematical statistics approach. This project proposes the development of advanced mathematical tools in nonparametric and high- dimensional statistics to analyze learning in BNNs as a statistical method. The starting point is a novel interpretation of the local updating of BNN parameters as a specific and non-standard, derivative-free optimization method. Whereas derivative-free optimization is thought to be slow, our conjecture is that it leads to favorable statistical properties in the setting underlying BNNs. If the research is successful, it has the potential to open a new research area in mathematical statistics and provide insights into how the brain learns. It could also lead to recommendations on how to make AI more efficient with less training data and how to train neuromorphic computer chips mimicking BNNs.

Keywords: nonparametric statistics,highdimensional statistics,statistics for stochastic processes,theory for neural networks,minimax estimation rates,nonparametric regression
Alternative Proteins Research and Innovation Skills Enhancement (APRISE)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Türkiye,Germany,Malta,Greece,Sweden,Italy,Poland,United Kingdom,Denmark,Spain,North Macedonia
Call: ERA Talents (HORIZON-WIDERA-2024-TALENTS-03, 2024)
Start date: 2025-09-01
End date: 2029-08-31
Duration (months): 48.0
Total project cost (EUR): 2997390.0
EU funding (EUR): 2997390.0
Participants: 18
Project status: SIGNED

Widening Countries (WCs) such as Türkiye, Poland, Greece, Malta, North Macedonia are falling behind in the rapidly evolving Alternative Proteins (APros) sector, which is crucial for addressing global food security and climate change. Closing the skills gap in these regions is essential for ensuring competitiveness and driving sustainable food innovation. The APRISE project focuses on enhancing the capacities of diverse talents in these WCs, providing advanced training and promoting collaboration to strengthen the APros sector. By uniting 18 partners from academia, industry, and non-profit sectors, APRISE delivers a comprehensive approach to talent development. The project emphasizes interdisciplinary knowledge transfer, including technical training in APros production, sustainable practices, and consumer science, as well as professional skills such as policy advocacy, project management, and entrepreneurship. Through secondments and structured training programs, APRISE equips talents to address sector-specific challenges and contribute to sustainable growth. Additionally, APRISE offers a Return Plan to support reintegration into home institutions, ensuring that the skills and knowledge gained are applied to long-term career development. The project’s efforts will significantly increase the capacity of talents across WCs, enabling them to play key roles in the future of the APros sector and ensuring lasting impact in both research and innovation ecosystems.

Keywords: alternative proteins apros talent development widening countries wcs sustainability interdisciplinary training capacity building
LIVING WITH ART. Domestic decorative sculpture in Western Roman Empire: reconstructing display, sociocultural dynamics, and addressing productive and economic processes (LIVART)

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: Germany,Italy,Spain
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): 202125.12
EU funding (EUR): 202125.12
Participants: 4
Project status: TERMINATED

LIVART is a multidisciplinary, innovative project that will investigate decorative sculptures in domestic contexts during the Roman period. They offer insights into sociocultural practices of private Roman spaces, revealing aspects of daily life not recorded in written sources and reflecting personal preferences of their owners and inhabitants. The project examines function, aesthetic significance, and societal, economic, and cultural roles of these sculptures within Roman families. It aims to understand how they reflect and influence domestic practices, social relationships, gender and diversity roles, and economic dynamics in the Roman Empire. The research integrates archaeology, art history, archaeometry, and 3D/VR technologies to achieve its objectives. Geographically, it focuses on the Western Roman provinces, within a chronological framework extending from the Republican era to the end of the Empire. The project, developed at the Rheinische Friedrich-Wilhelms-Universität Bonn (Germany), is planned to last 24 months and includes an eight-month secondment phase in three renowned laboratories: Laboratory for Analysing Materials of Ancient origin (LAMA) at the Università Iuav di Venezia (Italy), the Stable Isotope Laboratory at the Institute of Environmental Geology and Geoengineering (IGAG) of the National Research Council in Rome, and the Department of Geology at the Autonomous University of Barcelona (UAB). These secondments ensure the proper integration of various hard science methods and techniques for stone analysis, which are crucial to the project’s research objectives, particularly those productive and economic dynamics derived from the identification of raw materials used to carve the sculptures. Therefore, LIVART addresses significant knowledge gaps and employ advanced methods to preserve and disseminate European cultural heritage, potentially transforming our understanding of Roman domestic life and decorative sculpture.

Keywords: roman sculpture,domestic decorative sculpture,archaeometric analysis,3d vr technologies
Robotic Emulation of Human Failure Comprehension for Vastly Enhanced Resilience through Metacognition (RECOVER.ME)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-07-01
End date: 2029-06-30
Duration (months): 60.0
Total project cost (EUR): 1499250.0
EU funding (EUR): 1499250.0
Participants: 1
Project status: SIGNED

The aim of the RECOVER.ME project is to achieve human ingenuity in dealing with hardware faults in robotic space exploration. The hypothesis of the project is, that as robots acquire human-like metacognitive awareness and metacognitive regulatory abilities, they will be enabled to recover from severe but rectifiable hardware malfunction all by themselves. This is of particular importance to planetary exploration, as a hardware fault need not be the end of a mission. However, as of today, once a hardware malfunction occurs, the remote robot is typically taken out of operation and troubleshooting is done manually. In the future, especially, when more complex robots are deployed to construct planetary infrastructure for crewed exploration, this can no longer be tolerated. Considering that a hardware fault may occur at any time, such a situation can become safety-critical for the robot, the established infrastructure, and for astronauts in the vicinity of the robot. To overcome this issue, RECOVER.ME proposes a novel approach for metacognition-enabled failure handling. Instead of relying on hard-coded recovery strategies by specifying how a robot has to react to a certain sub-system fault, the project aims to bootstrap failure handling as a property of the cognitive architecture of the robot itself. Metacognitive awareness is created through a novel knowledge representation that describes how hardware faults may impact robot capabilities. Metacognitive planning will yield contingency configurations employing abstract, affordance-based first order-logic planning for self-programming. To empower robots to monitor their own programming and evaluate the best strategy to react to arbitrary failure cases, generic limitation models will translate sub-symbolic fault information into semantically interpretable knowledge for metacognitive monitoring and metacognitive evaluation. This will provide robots with competent strategies to deal with faults in a similar way to humans.

Keywords: metacognition,failure handling,space exploration
The Effect of Resistance to Epidemic Measures on Disease Spread and Mortality – What’s the Role of Online Misinformation? (REMEDY)

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,Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-04
End date: 2026-01-03
Duration (months): 28.0
Total project cost (EUR): 218371.92
EU funding (EUR): 218371.92
Participants: 2
Project status: SIGNED

Aim: The REMEDY project will provide innovative interdisciplinary empirical research that explores the driver and health consequences of resistant behaviour against epidemic measures, leveraging social science insights, economic and statistical methods and data science techniques. Background: In the advent of the COVID-19 pandemic, one pressing challenge for the public health response is the general resistance to legitimate public health policies driven by news media, influencers, extremist politicians, and rampant misinformation circulated on the internet – a potential information disorder due to an “infodemic”. There is, however, little understanding of the mechanism through which these potentially malicious messages propagate and how they, in turn, influence the behaviour of the population in opposing vaccine, mask-wearing, mobility restrictions, social distancing, and consequently leading to higher levels of morbidity and mortality. Methods: This project employs different quantitative and research methodologies to estimate the effects of behavioural resistance on the epidemic spread and excess mortality and whether online misinformation explains this resistance behaviour. First, we link real-world data on vaccine refusal, fines for non-compliance and the frequency and scale of anti-mask/vax/digital COVID-19 certificate protests to the local epidemic spread, hospitalisation and excess mortality rate over time. Second, after identifying the different types of online misinformation on COVID-19 and vaccines, we use geo-tagged digital records on search engines and social media to analyse the association between online sentiments towards public health measures and real-world resistance behaviour at a specific geographic unit. Impact: The project will not only provide hard evidence on the linkage between resistance behaviour and population health outcomes, but will also present the gravity of precariously allowing misinformation to flourish on the internet.

Keywords: health economics,misinformation,population health,mortality,vaccine
Respiratory Host-Pathogen Interaction (REACT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Denmark,Sweden,Spain,South Africa,Greece
Call: Personalised medicine and infectious diseases: understanding the individual host response to viruses (e.g. SARS-CoV-2) (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-08-01
End date: 2026-07-31
Duration (months): 48.0
Total project cost (EUR): 7597250.0
EU funding (EUR): 7597250.0
Participants: 11
Project status: SIGNED

Lower respiratory tract infections resulting from seasonal epidemics and pandemics are among the leading causes of death globally. There is a paucity of treatment options for viral respiratory pathogens and patient care remains largely supportive. This underscores a desperate need for identifying novel targets for prophylactic/treatment interventions and early prediction models of disease outcome to personalise treatment. The REACT consortium ? uniting high-level experts in virology, immunology, clinical medicine, epidemiology, and bioinformatics ? will assess genotypic, high-dimensional immunophenotypic, demographic and clinical data in the context of disease course to define host-pathogen interactions of viral respiratory tract infections, focusing on the predominating viruses i.e. influenza, respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In characterised, ethnically diverse clinical cohorts comprising patients with varying disease severities, we will genotype both virus and host, map deep immunological phenotypes spanning cellular, humoral and innate immunity, and characterise host responses in human nasal epithelial organoid models following viral infection. Novel bioinformatics approaches that include knowledge discovery and machine learning will be used to integrate and analyse multidisciplinary datasets to assess the individual and combined impact of factors on disease phenotype. Information on the deep characterisation of the dynamics of the immune responses to the chosen viruses and identified factors critical for viral control and immune protection will be made available on a dedicated project website to clinicians, researchers, health authorities, and public. This will provide direct and immediate access to our findings for further development of personalised treatment, therapeutic targets and vaccines in future trials and clinical practice to improve the wellbeing of the EU population and beyond.

Keywords: host pathogen interaction,sars cov 2,influenza,rsv,genetics,t cells,b cells,innate immune system,cellular pathways,clinical application,personalised medicine,
FATty liver disease and Gutmicrobial Alcohol Production (FATGAP) (FATGAP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Netherlands
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2875663.0
EU funding (EUR): 2875663.0
Participants: 1
Project status: SIGNED

Obesity and subsequent non-alcoholic hepatic steatosis (NAFLD-NASH) are important determinants of morbidity and mortality being imbalanced between ethnicities living in Europe. However, relatively little is known about the underlying aetiology that drives NAFLD-NASH and currently no treatment is available. We and others have mapped alterations in gut microbiota to metabolic disease, focusing on the bacterial functions. FATGAP builds on our work showing that 40% of obese humans with NAFLD-NASH are characterized by high production of the (endogenous) microbially produced metabolite ethanol derived from mixed acid fermentation of dietary sugars. Our pilot data show that catabolism of the dietary sugar fructose by (small) intestinal high ethanol producing bacterial strains relates to increased plasma levels of this metabolite. While acidic by-products of mixed acid fermentation lower intestinal pH thereby inhibiting the ethanol production, proton pump inhibitors (PPIs) increase pH. Indeed, epidemiological data have linked PPI use with NAFLD-NASH. I therefore hypothesize that gut microbial ethanol production from dietary sugar fructose is intestinal pH dependent and is driven by PPI use in humans. First, I will link gut microbial composition/function in relation to impact of endogenous (genetic) and exogenous (medication use) factors in microbial ethanol production with NAFLD-NASH in multiethnic prospective cohorts Second, we will explore how variations in intestinal pH affect kinetics by which (labelled) fructose is catabolized into ethanol and how this process is regulated by (inhibitory) strains and microbially produced metabolites. Third, we aim to culture (CRISPRcas modified) alcohol-degrading bacterial strains which can degrade intestinal ethanol at all pH levels. Finally, I will perform in vivo animal and human intervention trials with these identified (engineered) lead bacterial strains and study the effect in human NAFLD-NASH.

Keywords: translational research on the role of the gutmicrobiota produced ethanol in fatty liver disease,from epidemiology to human intervention trials