Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Archaeological Robotics for Mapping and Investigating Shipwrecks in the Arctic (ARCHEOROBOTICS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Norway
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1949705.0
EU funding (EUR): 1949705.0
Participants: 1
Project status: SIGNED

In the waters around Svalbard there are more than a thousand undiscovered shipwrecks from the early whaling period on the seabed. With the environmental changes rapidly happening in the Arctic, this presumably well-preserved underwater cultural heritage may be under threat. ARCHEOROBOTICS aims to develop methods for autonomous robots to find and investigate these wrecks and secure the invaluable human and ecological history they represent before it is too late. ARCHEOROBOTICS is divided into five interdependent work packages to address various challenges related to detection, documentation and interpretation of shipwrecks utilizing cutting edge underwater robotic technologies. Key objectives include compiling a detailed knowledge base of shipwrecks, developing a digital wreck simulator, creating algorithms towards embedded archaeological intelligence in robotic systems, and developing a methodological framework for addressing epistemological issues arising from the ambitions of the project. The PI will lead an interdisciplinary team of two PhD students and one research fellow to achieve the ambitious goals in each work package. Field trials on known wreck sites in Trondheimsfjorden will be conducted frequently for data acquisition, testing and validation of methods and algorithms developed in the simulator. A larger field campaign in Svalbard towards the end of the project will utilize the new robotic capabilities for finding and investigating wrecks from the Arctic whaling. The project’s outcomes will enhance our understanding of Arctic history, provide critical data on long-term environmental changes, and push the boundaries of interdisciplinary research between archaeology, robotics, and marine science. By fostering collaboration between archaeologists and engineers, ARCHEOROBOTICS will establish a new paradigm for the investigation of underwater cultural heritage, with far-reaching implications for both archaeological scholarship and technological advancement.
Paleolithic Underwater Micro-Archaeology (PUMA)

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: Portugal,United States
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-01-15
End date: 2028-01-14
Duration (months): 36.0
Total project cost (EUR): 257113.44
EU funding (EUR): 257113.44
Participants: 2
Project status: SIGNED

Our current knowledge about human evolution is biased toward terrestrial data whereas some crucial information is stored in sites that are now submerged since the terminal Pleistocene. In dry-land archaeology, the combination of micro-evidences (through paleobotanical, geoarchaeological, and experimental data) has revealed new information. My project aims to explore the applicability of these approaches for the investigation of submerged Paleolithic sites by tackling two main questions:1) What kind of microarchaeological materials are preserved in submerged Paleolithic sites? 2) Why do anthropogenic micro-remains (e.g., phytoliths, ash pseudomorphs) preserve in submerged sites? With the new set of techniques (phytolith morphotype and taphonomy, mineralogical and elemental analysis on thin sections) and knowledge (experimental archaeology, Paleolithic period) to be learned as a Global Fellow at Rutgers University (USA) and in the Interdisciplinary Center for Archaeology and Evolution of Human Behaviour at the University of Algarve (Portugal), I will provide a new methodological background needed to investigate submerged Paleolithic sites. The combination of micro-geoarchaeology to detect submerged Paleolithic sites and experimentation to explain their preservation will yield highly relevant results. The exploitation of new evidence off the continental shelf will open unique ways for the scientific community while providing the base to protect our cultural heritage from sea-level rising and the exploitation of the seabed. This project will turn me into a unique transdisciplinary and versatile underwater archaeologist at the forefront of archaeological science advances, with a breadth of expertise. I will share practices with marine scientists, paleobotanists, geoarchaeologists, and underwater archaeologists in multiple periods and regions, hence preparing for my employment in tenure positions in the fields of archaeology and marine science.

Keywords: underwater archaeology,micro geoarchaeology,paleobotany,micromorphology,experimental archaeology,paleolithic
What Matters for a Good Life? A Novel Approach to Essential Preferences, Skills, and Personal Attributes (FELICITAS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-11-01
End date: 2029-10-31
Duration (months): 60.0
Total project cost (EUR): 1499574.0
EU funding (EUR): 1499574.0
Participants: 1
Project status: SIGNED

FELICITAS revolutionizes the way we think about preferences, skills, and other latent personal attributes (PSAs), estimates their heterogeneity along with its determinants, and provides policy implications. PSAs are key drivers of a myriad of decisions which combine to create an individual’s life story. Differences in PSAs, together with constraints and luck, underlie inequalities in outcomes. Knowledge of PSAs is essential for policymakers to design effective public policy. Self-knowledge of PSAs is crucial for individuals to sort into occupations, activities, and relationships which enable them to flourish. However, unobserved PSAs are only noisily revealed by observed behavior. I develop a decision model which separately identifies noise due to imperfect self-knowledge and endogenous effort. I quantify their respective roles in different choice settings, de-bias estimates of PSAs, and assess their importance in essential life outcomes. I use these insights, along with an innovative discrete choice framework in which respondents choose between pairs of realistic life stories, to provide causal estimates of distributions in preferences (valuations) for policy-relevant life outcomes (longevity, health, family structure) in the United States and in Europe. I link the estimated heterogeneity to culture, demographics, and other PSAs. Finally, I examine a new latent personal attribute - an individual's propensity to perceive time in a distorted manner. In a twist to received wisdom that time flows faster when one is engaged in a more enjoyable activity, I propose that utility obtained from an activity can be inferred using differences between “felt” and elapsed time. I conjecture that the perceived duration of a task may both be the relevant decision variable, which reflects an individual's exerted effort on a task, and a determinant of required hourly wages. If empirically validated, we obtain a cardinal measure of utility which will transform its measurement.

Keywords: measurement error structural model of decision making heterogeneity latent skills and preferences cognitive and non cognitive skills subjective time perception effort self knowledge
Towards river restoration conviviality (REvive)

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: Spain,Netherlands
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-04-01
End date: 2026-09-30
Duration (months): 30.0
Total project cost (EUR): 206641.2
EU funding (EUR): 206641.2
Participants: 3
Project status: SIGNED

Nature and river restoration are high on the political agendas; the EU Biodiversity Strategy and Nature Restoration Law stipulate ambitious goals. However, in practice, river restoration projects – including barrier removal, implementation of ecological baseflows, and others – are contested. Different human and nonhuman actors have diverging ideas about what the future of rivers should look like. Underlying are multiple ontologies about what rivers are, can and should be; and epistemologies that define how rivers can be known. Through innovatively analysing river restoration as a political and contentious encounter of multiple ontologies and epistemologies, this project goes beyond the state-of-the art. Based on the study of restoration initiatives in three rivers in Spain, the project will generate new interdisciplinary knowledge about the complexities of river restoration. Rigorous and critical academic analysis will be combined with the exploration of pathways for constructive engagement: with local actors, the project will organize restoration design labs to develop methodologies for co-designing just and robust river conviviality. The project goes beyond mainstream formats of multi-stakeholder platforms through a focus on the ‘politics of design’ and ‘design justice’ that includes humans and nonhumans alike. This is a highly ambitious undertaking, which is made feasible through a careful methodological and conceptual set-up. The placement at the University of Girona and the secondment at the University of Twente will allow the researcher to develop a wide range of knowledges and professional skills; while she will use the project results and her expertise to stimulate transdisciplinary and critical debate in academia and practice. The non-academic placement with the Catalan Water Agency allows to make the generated scientific knowledge actionable and vice versa, to let action inform continuous knowledge production about just river restoration.

Keywords: water governance,river restoration,political ecology,co design,ontologies,epistemologies,transdisciplinarity
POLICIES AND PRACTICES BASED ON SCIENTIFIC RESEARCH FOR REDUCING UNDERACHIEVEMENT AND EARLY SCHOOL LEAVING IN EUROPE (SCIREARLY)

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: Spain,Greece,Portugal,Italy,Ireland,Denmark,Malta,Belgium,Finland,United Kingdom
Call: Addressing poor learning outcomes in basic skills and early school leaving at national, regional and local level in Europe (HORIZON-CL2-2021-TRANSFORMATIONS-01, 2021)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 2611528.76
EU funding (EUR): 2611528.75
Participants: 11
Project status: SIGNED

Reducing underachievement in basic skills and Early School Leaving (ESL) rates is at the core of the strategic and political priorities for the European Commission. This has become even more critical in a post-pandemic era where students coming from lower socioeconomic status, refugees, migrants, Roma, etc. are not reaching the competencies to thrive in life. SCIREARLY is determined to identify, systematize and replicate successful policies and practices based on scientific research that has proven to reduce underachievement in basic skills, including digital skills, while fostering psycho-emotional aspects and well-being. This know-how will contribute to reducing ESL in Europe, enabling upward social mobility for the most vulnerable groups. To this aim, SCIREARLY will (1) examine the determinants, including the influence of high-quality early childhood education and care (ECEC) in learning outcomes (2) measure and verify the impact of these determinants on vulnerable groups, identifying successful pathways to overcome it (3) map and replicate most successful practices in addressing low achievement in basic skills (4) develop a framework and an instrument for diagnosis and enhancing the quality of ECEC to leverage quality learning outcomes for primary and secondary pupils (5) analyse and propose transferable and scalable political measures that have proven to reduce ESL. As a result, SCIREARLY will provide evidence-based findings to recreate and scale up optimal learning environments reducing underachievement from a preventive perspective, especially for vulnerable groups; this will be done from an interdisciplinary approach and mixed-methods design including multilevel, quasi-experimental, and life course perspectives. The project relies on a participatory and dialogic approach that promotes the co-creation of scientific knowledge and solutions among educators, students, families, scientists and policy-makers, ensuring the societal impact of the project.

Keywords: early school leaving,underachievement,vulnerable groups,policies,successful learning environments
Optimizing fertilizer use in global crop systems: unveiling historical trends, current patterns, and future projections (OFUC)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 194074.56
EU funding (EUR): 194074.56
Participants: 1
Project status: SIGNED

This research aims to enhance global agricultural sustainability by improving nitrogen (N) and phosphorus (P) use efficiency (NUE and PUE) in major crops. While the widespread adoption of ammonia synthesis and industrial phosphate mining has significantly boosted the use of inorganic N and P fertilizers, their efficiency has declined over time. From 1961 to 2018, the dramatic increase in fertilizer application surpassed sustainable thresholds, leading to environmental challenges such as phosphate rock depletion, eutrophication, and soil acidification. Existing knowledge’s for assessing NUE and PUE often overlooks regional differences and specific agricultural practices, limiting their effectiveness. This project addresses these gaps through three key work packages. First, the N(P)UEdiff method will be used to analyze historical NUE and PUE trends from 1961 to 2020 for major crops worldwide, identifying critical breakpoints. Second, machine learning models will predict the spatial distribution of NUE and PUE from 2000 to 2020, factoring in environmental and management variables to reveal driving factors. Lastly, future climate change scenarios will be integrated into these models to project NUE and PUE changes through 2100 and propose optimal agronomic strategies. The innovative combination of the N(P)UEdiff method with dynamic data across 205 countries allows for the first comprehensive analysis of NUE and PUE trends and projections. This project will offer valuable insights for optimizing fertilizer use, increasing yields, reducing costs, and mitigating environmental harm, supporting global food security. The host’s expertise in global change ecology, coupled with the fellow's agroecology background, ensures successful implementation, while the interdisciplinary approach and open science practices will maximize the research’s impact and dissemination.

Keywords: nitrogen,phosphorus,grain yield
Network-based prediction of spreading of tau pathology in Alzheimer’s disease: implications for clinical trials (networkAD)

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: Life Sciences
Countries involved: Sweden
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: SIGNED

Alzheimer’s disease (AD) has far-reaching societal and economic consequences, emphasizing the urgent need for effective treatment solutions. However, to date, over 99% of AD clinical trials have failed. Inadequate patient stratification is a key contributing factor due to the enormous clinical and pathological heterogeneity in AD. AD is characterized by the aggregation of pathogenic proteins, with tau aggregates being a key player. Tau-related pathological processes lead to synaptic dysfunction, neurodegeneration, and eventually dementia. It is thus of paramount importance to decipher the mechanisms of tau deposition and spread. Emerging evidence suggests that tau tangles accumulate along specific macroscale brain networks, lending support to the hypothesis of tau spreading through communicating neurons. Network-based spreading models have provided insights along this line. I aim to contribute to a leap in network-based modelling of tau spread, by developing a novel patient-specific network model, coupled with a diffusion framework to study tau spread. The model will be individualised, in contrast to previously used group-averaged designs, and will be hybrid, in two respects. First, the model will integrate global functional and structural connectivity. Second, it will integrate data on regional vulnerability of brain tissue for generating tau based on gene expression profiles from an atlas. Results will provide mechanistic insights into spread of tau. The model and its subtypes will then be used to define an optimal sample stratification scheme, to enhance patient selection in clinical trial designs. Importantly, designs and analysis methods developed as part of this action will be released as a unified open-source software package to allow replication, expansion, and increased impact. Altogether, this proposal will provide novel scientific outcomes and will provide me with critical training in scientific and transferable skills that will largely advance my career.

Keywords: tau pet imaging,network based modelling,graph signal processing,brain graphs,multi modal mri,sample stratification
Global cooperation on FAIR data policy and practice (WorldFAIR)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Reforming and enhancing the European R&I System
Theme: Reforming and enhancing the European R&I System
Destination: Reforming and enhancing the European R&I System
Action type: Coordination and support actions
Countries involved: France,Belgium,Denmark,Germany,Norway,United States,Ireland,Brazil,New Zealand,United Kingdom,Australia,Cyprus,Kenya
Call: Global cooperation on FAIR data policy and practice (HORIZON-WIDERA-2021-ERA-01, 2021)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 1883841.25
EU funding (EUR): 1883841.25
Participants: 19
Project status: CLOSED

CODATA and RDA will work with a set of domain and cross-domain case studies to implement and test FAIR recommendations, including those for core interoperability, to develop a set of recommendations and a framework for FAIR assessment in each discipline or cross-disciplinary research areas involved. CODATA and RDA are uniquely positioned to lead and coordinate this activity, as the two preeminent international, interdisciplinary data organisations. The Case Studies have been carefully chosen to provide maximum impact. They are clustered in cognate groups in order to maximise scope while retaining a critical mass of activity and allowing learning and cross-fertilisation of ideas among them. Drawn from CODATA and RDA activities and partnerships, the Case Studies include leading organisations in a range of disciplines and cross-disciplinary research areas, such that the outputs will have global influence and impact. The methodology is designed to maximise coordination, while being sensitive to the status and requirements of each Case Studies discipline or cross-disciplinary research area. Each Case Study will perform a lightweight benchmarking and information gathering exercise through preparing a FAIR Implementation Profile, appropriately adapted to their discipline. This will lead into, and help inform, a fuller mapping of current best practices and emerging solutions and initiatives in their discipline. Taking into account good practices in their disciplines as well as the draft framework for core interoperability, and pertinent RDA recommendations, each case study will develop, pilot and possibly deploy interoperability standards and guidelines. Finally, the reports and recommendations from each Case Study will be synthesized and used to develop discipline specific frameworks for FAIR assessment and benchmarks.

Keywords: fair data,international cooperation,discipline interoperability frameworks,cross domain data interoperability,data standards,metadata,fair vocabularies