Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Real-Time Monitoring Networks and Transport Emissions for Tailored Zero Pollution Action Plans in European Cities (Net4Cities)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Innovation actions
Countries involved: Germany,Belgium,Spain,Georgia,Switzerland,United Kingdom,Cyprus,Norway,Greece,Finland,Austria
Call: Advanced transport emissions monitoring networks (HORIZON-CL5-2023-D5-01, 2023)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 4949258.75
EU funding (EUR): 4705156.25
Participants: 18
Project status: SIGNED

The transport sector is a major contributor to environmental degradation, including air and noise pollution that have negative effects to ecosystems and human health. This is particularly critical in urban areas, where the confluence of transport emissions and high population density result in adverse health impacts and substantial economic burden. The upcoming changes in the transport sector will be critical to reach targets set by the EU Green Deal. The Zero Pollution Action plans are essential tools to reduce pollution at many different levels. Through co-creation with stakeholders Net4Cities will facilitate the realization of the zero-pollution vision by 2050. The backbone of Net4Cities is this transdisciplinary approach in which the consortium members will engage with the partner cities, including ports and airports, to jointly produce new knowledge, and ensure relevance, uptake, and maximize transferability and exploitation. During the project, air and noise pollution monitoring infrastructure will be advanced and expanded in 11 European cities, including transportation hubs such airports and ports, to conform with upcoming directives and provide data for health impact assessments. The activities are designed to have long-lasting impact through both mid-, and long-term pathways, providing a roadmap for greater uptake in European cities by offering tailored, transferrable, evidence-based support for implementing effective management strategies for reducing transport-related emissions. The main project results will be consolidated in the Net4Cities Studio which will provide (1) a web-based interface with real-time maps and information to raise awareness, and (2) a support tool for policy decisions that will provide guidance for operationalization and recommendations of solutions that consider innovative technologies such as dynamic traffic management systems and inclusion of nature-based solutions in overarching policy designs.

Keywords: air pollution noise monitoring policy support transport emissions
''It’s the Symmetry, Stupid!'' Gearing Up Tensor Networks for the Topological Quantum Revolution (ISYS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Belgium
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 2302500.0
EU funding (EUR): 2302500.0
Participants: 1
Project status: CLOSED

This proposal is set in the era of the second quantum revolution, in which there is a strong need for a computational framework to describe and simulate topological materials and quantum devices possessing exotic particle statistics. * The two leading actors: symmetries and tensor networks. * The story: while the topological materials seem to defy Landau’s symmetry breaking paradigm as they do not exhibit a local order parameter, tensor networks strike back with the emergence of a local “pulling-through” symmetry of the local tensors describing them. * The catch: the symmetry happens in the shadow world of entanglement degrees of freedom, is in general non-invertible, and speaks the language of bimodule categories. * The magic: the tensor network picture makes the abstract concepts and mathematical tools needed to describe topological and critical systems, such as cohomology theory and bimodule categories, very tangible and concrete as wavefunctions of quantum spin systems which can easily be put on a computer. * The mission: develop the mathematics of tensor network representations of (higher) categorical and non-invertible symmetries; construct a computational toolbox which exploits those symmetries; construct explicit matrix product operator intertwiners for dualities between theories with non-Abelian / categorical symmetries; construct novel CFTs from categorical data; create a bridge between bimodule categories and integrability. * The crescendo: tensor networks with categorical symmetries take over the world by 1. setting up real-space renormalization group flows in which unwanted relevant perturbations are crushed and 2.constructing and evaluating quantum error correcting codes based on non-Abelian anyons. * The take-away: deep theoretical ideas and state of the art computational aspects are not parallel lines of development, but are one and the same and must be fused with each other. * The moral: For things to remain the same, everything must change.

Keywords: tensor networks,entanglement,renormalization group,fusion categories,categorical symmetry
iSentry:A revolutionary real-time AI-based video analytics platform for smart monitoring of camera feeds at scale (iSentry)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: United Kingdom
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Despite significant advancements in video analytics over the past decade, real-time surveillance remains constrained by the limitations of human cognitive ability, creating a critical need for more efficient and unbiased monitoring solutions. Current systems are hampered by the inability to manage vast volumes of real-time video feeds, high costs, biases, and computational demands. Intelex Vision addresses these challenges with iSentry, a revolutionary AI-powered platform for real-time video surveillance. iSentry leverages a unique two-layered analysis system combining unsupervised pixel-based algorithms and deep learning, enabling comprehensive monitoring with minimal computational overhead. This innovative approach filters 99% of irrelevant footage, presenting only pertinent alerts to operators, thereby significantly reducing cognitive load and improving response times. By learning normal behavior patterns, iSentry detects anomalies without relying on biased predefined rules, enhancing fairness and accuracy in surveillance. Through extensive pilot projects across diverse sectors, Intelex Vision aims to validate iSentry’s efficacy, refining its capabilities to meet specific environmental requirements. Intelex Vision’s solution promises substantial cost savings by reducing the need for extensive human monitoring. The system empowers operators to manage up to 800 cameras efficiently, transforming real-time surveillance into a cost-effective, unbiased, and highly efficient process. The EIC Accelerator support will enable Intelex Vision to transition to a hybrid edge-cloud model and conduct rigorous product validation, ultimately revolutionizing the landscape of video surveillance and operational monitoring. This will allow us to offer robust data security and compliance to our users and become a global leader in video analytics.

Keywords: protection risk management search and detection identification detection technology big data cloud computing critical infrastructure,emergency systems,security,safety engineering
Systematic and computer-aided performance certification for numerical optimization (CASPER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: France
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): 1497650.0
EU funding (EUR): 1497650.0
Participants: 1
Project status: SIGNED

Numerical optimization is a fundamental tool with a growing impact in many disciplines from science to industry. Many of its successes are due to theoretical advances, which are key to developing trust in numerical algorithms. While trust is non-negotiable in many applications, the complexity level of modern and future problems makes it very hard for theory to keep up with efficient proposals. Arguably worse, while both theory and experimental practice are key to the field, their respective recommendations often conflict with each other and the gap between theory and practice gets embarrassingly large. The main objective of this proposal is to push forward the theoretical foundations of algorithmic optimization to drastically reduce the gap between fundamental theoretical understanding and practical scenarios. To achieve this, we will develop principled and systematic approaches to algorithmic analyses, as well as computer-aided performance certification tools. Whereas my recent works show that such techniques already allow going far beyond the surprisingly few classical templates for algorithmic analysis, they have currently very limited applicability beyond simple scenarios. We will largely broaden the techniques to develop and study modern algorithms with working guarantees that can (i) scale to unprecedented problem and data sizes, (ii) adapt to common problem structures, and (iii) be deployed on modern massively parallel computing environments. On the way, this project will allow for simplified certification and validation of existing theory, an absolute necessity in this era of massive scientific production. Outcomes of CASPER will include symbolical and numerical algorithmic certification and development tools, as well as algorithms with unprecedented working guarantees. The tools will be released as open-source libraries and algorithms validated on key benchmarks that include challenging machine learning and robotic tasks.

Keywords: numerical optimization,complexity analysis
Ecological impacts of floating photovoltaics in lake ecosystems (ECLIPSE)

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: France,United Kingdom
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2025-06-30
Duration (months): 34.0
Total project cost (EUR): 275527.15
EU funding (EUR): 275527.15
Participants: 4
Project status: CLOSED

The need to mitigate the ecological effects of climate change is accelerating the development of renewable energy technologies. Floating photovoltaic systems (FPV) is an important advance of the energy industry and is spreading fast across the globe. A key challenge remains to ensure that climate mitigation strategies are not triggering novel, unexpected and counterproductive impacts on biodiversity and ecosystems that can counterbalance their ecological benefits. FPV can affect lakes’ ecosystem services through abrupt changes in biodiversity and ecosystem functioning through changes in abiotic conditions in lakes (e.g., light arrival, water mixing, oxygenation) that can ultimately alter the composition of plant and animal communities, with cascading effects on ecosystem functioning. To date, however, empirical assessments of these impacts are still lacking. ECLIPSE aims to provide an integrative assessment of the ecological impacts of FPV on lakes ecosystems by (1) measuring the in-situ impacts of FPV on biodiversity and ecosystem functioning; (2) experimentally quantifying the context-dependency of these effects; (3) predicting the impacts of FPV on lakes under climate change scenarios; and (4) providing evidence-based guidelines for FPV deployment. An innovative combination of methods will be used to quantify food web architecture (stable isotope analyses) and ecosystem functioning (lake metabolism and carbon balance) incorporating in situ lake monitoring, mesocosm experiments, and ecological modeling. ECLIPSE is highly innovative as it will answer an applied question with ecological and socio-economic implications providing fundamental knowledge on ecosystem responses to abrupt environmental changes.

Keywords: floating solar,floatovoltaics,stable isotope analysis,gas fluxes,ecosystem metabolism,c cycling,food web,freshwater management
Transmission of the human microbiome and its impact on health (microTOUCH)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 2394779.0
EU funding (EUR): 2394779.0
Participants: 1
Project status: SIGNED

The human microbiome is a key component of our own biology and has important biomedical applications, but while its composition has been studied in depth and linked with several lifestyle and disease factors, it is still highly unknown how its members are acquired, spread, and transmitted across hosts. Our preliminary results suggest that person-to-person microbiome transmission (MT) is extensive and shapes the microbiome according to host interaction networks, leading to the hypothesis that microbiome-linked diseases that are considered non-communicable are instead partially communicable. microTOUCH will (i) develop the methods needed to model MT in human populations from metagenomic sequencing, (ii) unravel the features of microbial transmissibility, and (iii) detail the contribution of MT to host conditions that are currently considered non-communicable. We will first empower metagenomics with the ability to track and model the transmission of known and unknown members of the microbiome, and will then apply these methods to specific case studies of MT in humans (children and adults) and non-human primates across diverse family, social, and interaction networks. Meta-analysis of MT integrating publicly available datasets will unravel the factors impacting MT the most and the degree of transmissibility of each microbiome member. Exploiting the large and deeply phenotyped metagenomic datasets available to the PI, microTOUCH will characterize the role of MT in shaping the connections between the gut/oral microbiome and (i) nutrition and cardiometabolic health, (ii) oral diseases, (iii) cancer and cancer immunotherapy, (iv) autism, and (v) the Westernization process. microTOUCH will advance our understanding of the epidemiological forces shaping the human microbiome and will link MT with host conditions and risk factors, thus enabling the development of biomedical strategies promoting or limiting the transmission of specific disease-associated microbiome components.

Keywords: human microbiome microbiome transmission
A breakthrough in the two-way coupling within a wave-current-atmosphere system (OceanCoupling)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Norway
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1499996.0
EU funding (EUR): 1499996.0
Participants: 1
Project status: SIGNED

The Wave-Current-Atmosphere (WCA) system in the upper ocean is an air-sea interface that drives the physical, chemical, and biological processes crucial to our global climate and environment. Observations and simulations over the last two decades have revolutionized our picture of the roles of small-scale wave processes in the large-scale oceanic circulations controlled by the WCA system, offering a promising direction to correcting long-standing biases and errors in key indicators in climate models, such as sea surface temperature and the mixed depth of vertical mixing. The key to correcting such biases and errors is to physically resolve the surface waves processes in the WCA system. OceanCoupling will effect a paradigm shift towards two-way coupled modeling of the system using a novel approach which removes a bottleneck caused by two main challenges: (i) multi-scale dependent physical processes and (ii) the air-sea interface - known for its dynamics and complexity. This approach harnesses both the analytical features of multi-scales quantities and the rapid development in computing power to greatly increase numerical efficiency, at no cost of accuracy. OceanCoupling will explain, for the first time, how the surface waves processes control the essential exchange of mass, momentum, and energy between the atmosphere and ocean. The outcome of OceanCoupling will provide timely links to recent and future ocean surface remote sensing products that monitor the ocean surface and will equip us with a feasible tool to tackle the ever-increasing wave extremes due to climate changes and innovative technologies for renewable energy. OceanCoupling initiates a new way of efficiently modeling complex systems with multiple scales, enabling breakthroughs in similar physical systems; technically, the main outcomes, e.g., theoretical framework and numerical solver with open access, will create opportunities for novel insights due to their wide applicability in fluid dynamics.

Keywords: mathematical modeling air sea dynamics,two way coupling,surface water waves shear currents multiple scale processes small scale turbulence
Stimulating and Connecting the FINEST Experimentation Practices and Spaces (FINEX)

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: Estonia,Finland,Belgium,Cyprus,Lithuania,Latvia,Bulgaria,France
Call: Stimulating Experimentation Practices (HORIZON-EIE-2023-CONNECT-02, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 1042849.47
EU funding (EUR): 999995.32
Participants: 11
Project status: SIGNED

The FINEX project builds on key innovation actors driving the green and digital transition - EIT Digital (Europe's largest digital innovation ecosystem), EIT Climate KIC (Europe’s largest climate innovation agency and community), the Cleantech Group (the world's leading authority on cleantech innovation) - pairing them with world-class cross-border Research & Innovation centres of excellence, who have been deploying experimentation testbed, living labs, sandboxes, and acceleration tools to turn leading research into market ready innovations - FINEST CoE, KIOS CoE and GATE CoE - as well as, Lithuania’s leading Cleantech innovation ecosystem - Sunrise Valley Science and Technology Park (STP) - a perfect place for innovative technological enterprises to establish and develop businesses, and Riga Technical university (RTU) - the largest Latvian university, leader of the EIT Climate-KIC Hub Latvia, also soon to be a EIT Digital Centre, and with a specific specialised ‘Innovation Ecosystem Development Unit’ a leading actor in local and national digital and cleantech technologies innovation ecosystems with various international education, business support, research and networking programmes. Key Objectives of the FINEX project are: 1. To stimulate and interconnect the six targeted Innovation ecosystems as Europe’s Cleantech powerhouse, enhancing their gender-inclusiveness, openness, competitiveness, and global potential. 2. To jointly develop world-class experimentation spaces and the promotion of a better aligned EU regulatory, fiscal and legal framework. 3. To identify and support Cleantech domains and innovators requiring the development of experimentation spaces capable of supporting the quick deployment of disruptive and novel Deep Tech and solutions with the potential to help Europe achieve Climate and Industrial leadership.

Keywords: cleantech,innovation ecosystems,experimentation,living lab,test bed
Early mathematical learning dynamics in the developing brain (MATHWAVES)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-10-01
End date: 2028-09-30
Duration (months): 60.0
Total project cost (EUR): 1497516.0
EU funding (EUR): 1497516.0
Participants: 1
Project status: SIGNED

Mathematical thinking is one of the most remarkable human cognitive abilities, but unfortunately, not all individuals are equal concerning those abilities. Becoming numerate is a long-lasting learning process in which the early stages are of paramount importance to ensure positive future outcomes. However, the neural bases supporting these early abilities and the path to inter-individual differences remain elusive. MATHWAVES aims at understanding the neural mechanisms supporting the emergence of the early steps of mathematical learning. First, a longitudinal framework will test whether the developmental trajectory of audio-visual integration of numerical formats is the gateway to mathematical abstraction. Second, cross-sectional comparisons will assess the balance between brain networks engaged in efficient implicit and explicit numerical processing. Third, we will investigate whether mathematical learning is associated with brain plasticity at different times-scales: the slow changes across development vs. the short-term changes while processing numbers. We will highlight the developmental changes in long-lasting or transient properties of the brain’s functional organization that explain the fluctuations in mathematical abilities within and across individuals. Through a novel combination of frequency-based and functional connectivity approaches implemented in magnetoencephalography, MATHWAVES will dynamically track early mathematical learning and neuroplastic changes associated with the emergence of those abilities. Characterizing the neurocognitive mechanisms of early mathematical learning at different timescales represents a complete paradigm shift that is imperative to understand learning dynamics at the onset of human mathematical thinking and individual differences. MATHWAVES tackles the broader question of how learning reshapes the developing brain and enables several groundbreaking new avenues for research, but also future diagnosis and remedial techniques.

Keywords: mathematical learning,numerical cognition,educational neurosciences,cognitive development,magnetoencephalography,frequency tagging,steady state responses,functional connectivity,brain plasticity