Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
How Whales Make and Unmake Geopolitical Borders: Conceptualizing and Investigating the Multispecies Politics of (De)Bordering (BorderWhale)

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,Faroe Islands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-27
End date: 2027-06-26
Duration (months): 24.0
Total project cost (EUR): 242260.56
EU funding (EUR): 242260.56
Participants: 3
Project status: SIGNED

BorderWhale goes beyond anthropocentrism in the field of border studies by conceptualizing, making visible, and analyzing how nonhumans challenge and influence "(de)bordering politics": the (re)production, contestation, and transformation of geopolitical borders and boundaries. It does so through the case of whales, specifically examining how whale-human entanglements—defined as the complex interdependencies and relations between the two species, their shared histories, and how they shape larger socio-political dynamics — matter in (de)bordering politics. Indeed whales offers a compelling example of how nonhumans can influence and challenge (de)bordering politics. As flagship species for ocean conservation, whales have driven boundary-making practices at sea aimed at their protection. Conversely, in regions where whaling persists, whales are entangled in debates over identity politics, cultural heritage, and political autonomy—issues that directly engage with the reproduction, contestation, and transformation of borders and boundaries. BorderWhale has therefore three objectives that go beyond the state of the art:1)Theoretical Innovation: The project decenters and revisit human-centric concepts of border theory by integrating insights from the posthumanities.2)Methodological Innovation: BorderWhale will employ multispecies ethnography to make visible how nonhumans influence and challenge (de)bordering politics. 3)Analytical Innovation: The project will develop a framework for analyzing the role of nonhumans in (de)bordering politics in other contexts. This framework will be built by comparing how whales influence and challenge (de)bordering politics in two contrasting geopolitical and border contexts and by triangulating these findings with additional empirical literature on nonhunonhuman agency. By recognizing nonhuman agency in border politics, BorderWhale promotes a more inclusive, environementally just approach to investigating and addressing (geo)politics.

Keywords: borders bordering ethnography more than human politics animals whales nonhumans posthuman ethnography multispecies geopolitics identity border governance sea
Compressed Sensing for Climate: A Novel Approach to Localize, Quantify and Characterize Urban Greenhouse Gas Emitters (CoSense4Climate)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-07-01
End date: 2028-06-30
Duration (months): 60.0
Total project cost (EUR): 1999848.0
EU funding (EUR): 1999848.0
Participants: 1
Project status: SIGNED

Climate change is a defining issue of our time. Without significant, rapid greenhouse gas (GHG) emission reductions, we will face unpredictable consequences for climate and life. To effectively reduce GHGs, the emissions must be accurately quantified and unknown emitters found. However, measuring global GHG emissions is very challenging, and hence current emission inventories rely mostly on bottom-up calculations, which lack accuracy and the ability to detect unknown sources. In CoSense4Climate, I will use the powerful mathematical theory of compressed sensing (CS) to revolutionize atmospheric inversion. My goal is to develop a method to locate, quantify, and attribute GHG emitters with unmatched spatial resolution and accuracy. CS has been used with great success in signal and image processing by taking advantage of the fact that most signals contain redundancies. Using CS in combination with domain transformations, I will generate accurate high resolution emission fields and reveal unknown sources, yet require less data than conventional methods. I will develop a CS inversion framework not only for local sensor data, but also for satellite data, which, upon success, will lead to a breakthrough in monitoring urban GHG emissions globally. I am best suited to reach this goal. I have gathered a unique dataset with my fully automated differential column GHG network MUCCnet, the first of its kind. With my rich experience in applying computational fluid dynamics (CFD), solar-induced fluorescence (SIF), and machine learning (ML) for estimating GHG emissions, I will additionally create a high-resolution CFD-based atmospheric transport model, a satellite SIF-based urban CO2 biogenic flux model, and a ML method for source attribution based on ratios of GHG and air pollutant concentrations. CoSense4Climate will establish a new standard for GHG emission monitoring, and provide ground-breaking scientific methods to help solve one of today’s most urgent problem: climate change.

Keywords: atmospheric science,urban greenhouse gas emissions,compressed sensing,computational fluid dynamics,solar induced fluorescence,machine learning,sensor network,atmospheric measurements,atmospheric inverse modeling,atmospheric transport modeling,biogenic fluxes,particle dispersion modeling,ground based remote sensing,satellite remote sensing
Quantum Thermodynamic Framework to Advance Fault-Tolerant Quantum Science (QTF-Ataulfo)

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: Austria
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): 214344.72
EU funding (EUR): 214344.72
Participants: 1
Project status: SIGNED

Quantum information science has reshaped our understanding of the universe by framing the fundamental laws of nature in terms of the evolution of information. This field has provided powerful mathematical tools to address open questions in physics while opening the door to novel technologies without classical counterparts. However, the current prototype devices at the forefront of technological advances are still far from the promised fully programmable universal quantum simulators. These current machines, known as Noisy Intermediate-Scale Quantum (NISQ) devices, are constrained by their susceptibility to errors, limited scalability, and, more importantly, the incomplete understanding of the underlying physics in multi-partite quantum systems. This research proposal aims to tackle a fascinating challenge: developing a theoretical thermodynamic framework to gain insights into error correction and mitigation in complex quantum systems, while addressing open questions from a thermodynamic perspective. Additionally, this project seeks to bridge the gap between fundamental research and practical implementation. In this project, I will develop novel quantum error correction (QEC) approaches that optimize both information retention and energy efficiency, focusing on three key objectives: (1) Quantum Error Correction as a Thermodynamic Process: Reimagining QEC as a thermodynamic process through entropy management and cooling mechanisms, such as algorithmic cooling, to gain insights into fundamental questions and develop QEC codes optimized for resilience and energy efficiency. (2) Thermodynamic Understanding of Fault-Tolerant Thresholds: Integrating thermodynamic principles to understand the limitations of achieving more robust quantum protocols based on available resources. (3) Impact of Imperfect Timekeeping on QEC and Energy Costs: Investigating how imperfect timekeeping affects QEC performance, with a focus on reducing energy consumption and improving efficiency.

Keywords: quantum information processing,quantum thermodynamics,quantum implementations,algorithmic cooling,quantum engines and refrigerators,quantum error correction,error mitigation,nisq devices
BE-LIGHT Improving BiomEdical diagnosis through LIGHT-based technologies and machine learning (BE-LIGHT)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Spain,Germany,Poland,France,Switzerland
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 2633207.66
EU funding (EUR): 2525220.0
Participants: 18
Project status: SIGNED

Photonics is crucial for maintaining and increasing the competitiveness of EU industry, and light-based instruments are fundamental for non-invasive diagnostics and treatment of diseases, delivering huge economic benefits for national health systems. Artificial Intelligence (AI) and Machine Learning (ML) have demonstrated their capability to classify and identify patterns in data, achieving reliability levels that are comparable to those of experienced physicians. To fully develop the potentials of these technologies, BE-LIGHT will provide top level training to 11 Researchers in photonic technologies (multispectral imaging, eye-tracking, optical coherence tomography, multispectral optoacoustic tomography, super-resolution microscopy and optogenetics) that will be complemented with AI/ML, computational imaging and modelling. A close-to-the-clinic approach will allow them to advance the field of biomedicine, with the ultimate goal of improving the understanding, diagnosis and treatment of diseases in 3 main research areas: visual health, cardiovascular health, and analysis of cells and tissues (related to Parkinson’s and rare diseases) using super-resolution microscopy. BE-LIGHT brings together an interdisciplinary consortium of 7 top academic institutions, 3 internationally recognized hospitals, and an ecosystem of 7 private companies with complementary know-how in photonics, microscopy, AI/ML, medical instruments and clinical research, to promote inter-sectoral synergies. BE-LIGHT’s multi-skill training program will provide the researchers with the complete set of skills that are nowadays key for their success in both academic and non-academic sectors. They will gain a broad understanding of how state-of-the-art light-based technologies work, a solid knowledge of ML and data processing, and will obtain experience in clinical and commercialization processes. BE-LIGHT will open for them a wide range of high-quality job opportunities.

Keywords: photonics,biophotonics,optical engineering,medical diagnosis,medical imaging,ophthalmology,cardiology,super resolution microscopy,optogenetics,optoacoustics,machine learning,data analysis
Development of a global diagnostic ecosystem for detecting and monitoring emergency-prone pathogens across species and in a unified way (UniHealth)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Unlocking the full potential of new tools, technologies and digital solutions for a healthy society
Action type: Innovation actions
Countries involved: Greece,Switzerland,United Kingdom,Germany,Tunisia,France,Norway,South Africa
Call: Pandemic preparedness and response: In vitro diagnostic devices to tackle cross-border health threats (HORIZON-HLTH-2023-TOOL-05, 2023)
Start date: 2023-12-01
End date: 2027-05-31
Duration (months): 42.0
Total project cost (EUR): 5345960.0
EU funding (EUR): 4887345.13
Participants: 11
Project status: SIGNED

We aim to contribute to global diagnostics and preparedness for the next health crisis by developing in vitro diagnostic devices and methodologies for application at the point-of-care. For this purpose, mature as well as novel technologies and assays will be developed, addressing all pandemic preparedness requirements; i.e., with regards to assay characteristics and ability to assimilate new targets as well as platform ease of use and connectivity fulfilling manufacturing and regulatory requirements. In the 36 months of the project, we intend to develop and deliver two IVDR certified devices and six molecular assays for emerging pathogens detection at the point-of-care. We will build on a recent commercial success during the COVID-19 pandemic, the Pebble platform and an innovative pocket-size device to be developed within the project, both providing capability for connectivity and surveillance. For the RNA-targets detection, we will employ a recently developed amplification method (DAMP) demonstrated to have a high specificity in crude samples. Three broad assays will be developed for screening of viruses belonging in one of the families of Corona, Influenza or Arboviruses, and three specific ones for Dengue, Zika and West Nile viruses, all according to IVDR-recommendations. Importantly the above six assays will be tested using samples from humans, animals and during field-monitoring of mosquito populations, providing a solution for the One Health initiative. For the development of accessible diagnostic tools, the UniHealth consortium consist of expert researchers, technologists, doctors, social scientists, regulators, innovators and biomedical device providers within the areas of diagnostics and pandemics. The high degree of UniHealth’s innovation and the co-development of solutions with global partners and end-users will expand the visibly and uptake of the project results to a global level leading to a high preparedness and an economic and social success.

Keywords: in vitro diagnostic devices,isothermal amplification,lamp,real time colorimetric detection,one health
Regulating RNAPII levels: gaining insight into the translation, assembly and transport of RNAPII subunits. (RNAPII biogenesis)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-09-30
Duration (months): 25.0
Total project cost (EUR): 214934.4
EU funding (EUR): 214934.4
Participants: 1
Project status: SIGNED

Cellular diversity in eukaryotic organisms is obtained through differential regulation of transcription, which is therefore a heavily studied step in gene expression. Protein-coding genes are transcribed by RNA polymerase II (RNAPII), an enzyme consisting of twelve subunits. Recently, work from my host lab, the Svejstrup lab, has suggested that depleting the number of fully assembled RNAPII molecules in the cell, through degradation of its main catalytic subunit RPB1, is crucial for achieving transcription recovery after DNA damage. This finding underscores the importance of understanding how RNAPII levels are regulated. Therefore, in this proposal I aim to gain insight into the mechanisms influencing RNAPII abundance, by studying RPB1 mRNA and protein levels, RNAPII assembly, and RNAPII transport in human cells. Specifically, I will leverage my background in RNA biology and bioinformatics analysis to identify RNA-binding proteins interacting with the 3’UTR of RPB1, and study their role in regulating RPB1 mRNA turnover and translation efficiency. Moreover, using state-of-the-art selective ribosomal profiling techniques, I will determine whether RNAPII is assembled co-translationally, as was recently proposed to be the mechanism of assembly for most multi-subunit complexes in eukaryotes. Finally, I will perform a CRISPR-Cas9 screen to identify novel factors that mediate RNAPII nuclear import. Together, this proposal will elucidate the biogenesis of RNAPII, which is crucial for a better understanding of transcription regulation. The proposed experiments will enhance my postdoctoral training by broadening my conceptual and technical skills and will provide data and tools to start my own laboratory in the future. Ultimately, these findings might also have therapeutic implications, as RNAPII is one of the targets being investigated for cancer treatments.

Keywords: rna polymerase ii,transcription,gene expression,co translational assembly,mrna translation,3 utr,protein biogenesis,nucleocytoplasmic transport,crispr cas9 screen,transcriptomics,interactome
Understanding and harnessing natural variation in adaptability (NAT-ADAPT)

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: France,Sweden
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-03-01
End date: 2026-02-28
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 2
Project status: SIGNED

The rise of antimicrobial resistance is an urgent global threat to human health and global healthcare capacities. Despite ongoing efforts to develop new antimicrobial drugs, eventual adaptation is an inevitable corollary of evolution. Long-term solutions therefore require innovative approaches, including (1) learning to predict adaptation and (2) developing platforms to screen strategies against microbial adaptation. The capacity of an organism to adapt to new environments, also described as adaptability, is a heritable trait that varies substantially between even closely related lineages. Dissecting the genetic basis and mechanisms driving variation in adaptability is the critical first step in achieving these long-term objectives. As an MCSA fellow, Dr Xanita Saayman will receive training from Dr Gianni Liti at the Institute for Research in Cancer and Ageing (IRCAN) and from Dr Jonas Warringer during a secondment to the University of Gothenburg. Throughout NAT-ADAPT, Dr Saayman will exploit an extensive collection of Saccharomyces cerevisiae isolates with unprecedented scales of phenotypic and genotypic diversity. Bridging interdisciplinary fields (e.g., population genetics, phenomics, genomics, genome engineering), NAT-ADAPT will identify and characterise genetic drivers of adaptability, harnessing this knowledge for two applications. First, NAT-ADAPT will model adaptation dynamics based on quantifiable genome properties, serving as an invaluable resource for predicting the emergence of antimicrobial resistance. Second, NAT-ADAPT will produce ‘hyper-evolver’ Saccharomyces cerevisiae strains. Such strains can serve as critical platforms with which to screen strategies against microbial adaptation, improving the efficacy of current antimicrobial solutions.

Keywords: evolution,adaptation,genetic engineering,antimicrobial resistance
EXPANDING SKILLS2SCALE ALLIANCE TO ENHANCE THE ACADEMIA-ENTERPRISE COLLABORATIONS FOR DEEP TECH INNOVATION (Scale2Connect)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Greece,Spain,Portugal,Dominican Republic,Norway
Call: Expanding Academia-Enterprise Collaborations (HORIZON-EIE-2024-CONNECT-02, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 531098.21
EU funding (EUR): 500000.0
Participants: 5
Project status: SIGNED

Scale2Connect aims to enhance Europe's innovation ecosystems by expanding and adapting the successful Skills2Scale model to new regions, with a particular focus on deep tech fields. The project aims to bridge the gap between well-connected innovation hubs and emerging ecosystems, fostering balanced regional development and strengthening academia-enterprise collaborations across Europe and beyond. The genesis of Scale2Connect lies in the recognition of the growing disparities in innovation capacities across European regions, particularly in the realm of deep tech. While some areas boast flourishing innovation hubs with strong academia-industry links, others struggle to build the necessary ecosystem to support deep tech innovation and entrepreneurship. This imbalance not only hinders the overall competitiveness of Europe in the global innovation landscape but also exacerbates regional economic disparities. The project builds upon the achievements of Skills2Scale, which has demonstrated significant impact in empowering Higher Education Institutions (HEIs) in the field of deep tech and Beyond 5G technologies. Skills2Scale successfully established a model for enhancing the innovation and entrepreneurial capacities of HEIs, fostering closer ties with industry, and supporting the development of cutting-edge technologies. Scale2Connect seeks to extend this success to other regions and deep tech domains, recognizing the potential for transformative impact across a broader European landscape.

Keywords: deeptech,heis,innovation ecosystems,capacity building