Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A zero waste process for producing all natural, biodegradable replacement additives for synthetic polymers and microspheres (Bioweg)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-07-01
End date: 2025-06-30
Duration (months): 36.0
Total project cost (EUR): 3566432.5
EU funding (EUR): 2421314.0
Participants: 1
Project status: CLOSED

>> We are now discovering the harmful effects of synthetic additives & plastics on the human body & ecosystems due to advancements in research & technology. To address the problems derived from synthetic additives, product formulators across the industry are actively scouting for new bio based, biodegradable & sustainable alternatives such as seed kernels, clay, silica, & modified starches/cellulose. While these new “bioplastic” solutions are improvements over the unnatural additives, the proposed solutions are neither biodegradable, nor have the ability to be customized to the particular product they are used in. Bioweg have developed a sustainable process, which uses waste material from industry to produce all natural, customizable, biodegradable replacement additives for these harmful synthetic polymers and microspheres. During the proposed EIC Project, the company will look undertake end user trials, scale up the production process, and automate it to prepare for large scale orders

Keywords: microplastic pollution,microbial cellulose,biodegradable alternatives,microbeads,rheology modifiers,home care,cosmetics,personal care,bacterial fermentation
Human AI teaming Knowledge and Understanding for aviation safety (HAIKU)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Innovation actions
Countries involved: Italy,Belgium,Spain,Netherlands,Sweden,France,Cyprus,Greece,Brazil,Germany,Portugal
Call: Safe automation and human factors in aviation – intelligent integration and assistance (HORIZON-CL5-2021-D6-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 8181687.5
EU funding (EUR): 5778938.63
Participants: 19
Project status: SIGNED

The aim of the HAIKU Project is to deliver prototypes of AI Digital Assistants for different aviation segments and users: commercial aviation pilots, urban air mobility and sky taxis, remotely piloted drones, remote towers, and air traffic controllers. It is essential both for safe operations, and for society in general, that the people who currently keep aviation so safe can work with, train and supervise these AI systems, and that future autonomous AI systems make judgements and decisions that would be acceptable to humans. HAIKU will pave the way for human-centric-AI by developing guidance and assurance procedures, and by exploring Human-AI Teaming via several interactive prototypes. Three main research questions will be addressed: • What is the recommended human-AI relationship for each of the different AI applications in aviation? • What does it mean for AI to be explainable and hence trustworthy in each of these applications? • How do we best teach AIs, via human-in-the-loop AI learning for each of the potential aviation applications? The following main outputs are foreseen: 1. New Human Factors design guidance and methods (‘HF4AI’ Capabilities) on how to develop safe, effective and trustworthy Digital Assistants for Aviation 2. A set of aviation use cases – controlled experiments with high operational relevance – illustrating the tasks, roles, autonomy and team performance of the Digital Assistant in a range of normal and emergency scenarios 3. New safety and validation assurance methods for Digital Assistants, to facilitate early integration into aviation systems by aviation stakeholders and regulatory authorities 4. Continuous engagement with relevant stakeholders - e.g. policy makers, professional associations, passengers associations and general public – to deliver Guidance on socially acceptable AI in safety critical operations, and for maintaining aviation’s strong safety culture record.

Keywords: artificial intelligence human centric ai human ai interaction ai assistants human factors safety security liability learning societal impact
A Transdisciplinary initiative for Fossil Record bias Mitigation (TransFoRM)

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: Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 230184.72
EU funding (EUR): 230184.72
Participants: 1
Project status: CLOSED

The fossil record offers invaluable insights into the history of life on Earth, including species' responses to past climate changes, serving as a vital resource in addressing the contemporary biodiversity crisis. However, the fossil record is subject to multiple environmental, geological, and anthropogenic biases, which, if unaccounted for, may lead to misleading interpretations. Despite an increasing awareness of these biases among researchers, our ability to mitigate fossil record biases in analyses and account for the uncertainty produced remains limited. TransFoRM therefore seeks to develop a coherent framework to address inherent biases of the fossil record systematically. Specifically, I will (i) identify general biases of the fossil record through a systematic literature review; (ii) identify instances where researchers overlook biases in the fossil record through a statistical assessment of surveys (a many-analysts approach), (iii) develop a structural causal model that incorporates the data-generating process of the fossil record, to account for known biases and confounders; and (iv) strengthen the connections between paleontological research and conservation practice by equipping researchers with the tools, awareness, and knowledge necessary to navigate and communicate the complexities of the fossil record effectively. The transdisciplinary nature of the project and planned dissemination activities will lead to knowledge that is highly transferable into various fields. The outcomes will provide a comprehensive framework to alleviate biases in the fossil record, facilitating the propagation of fossil information to the contemporary ecological crises. TransFoRM is particularly timely, as confounder- and bias-corrected frameworks exist, with clear guidelines for their application to observational data in ecology, but are not yet integrated in paleontological research, prompting recent calls for their adoption.

Keywords: fossil record,bias,structural causal inference,extinction,climate change,confounder
Generalized Quatum Batalin-Vilkovisky Formalism and Graphical Calculus (QuantGraph)

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: Mathematics
Countries involved: Germany,United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 217965.12
EU funding (EUR): 217965.12
Participants: 2
Project status: SIGNED

One of the greatest successes of physics is the quantum field theory (QFT), with its stunningly accurate predictions. These are usually obtained by drawing so-called "Feynman diagrams". In this fellowship, I will develop new methods to obtain and manipulate these diagrams, achieving the following two objectives: The first objective is a generalization of the Batalin-Vilkovisky approach to QFT using ideas from symplectic geometry and operads. The outcome will be a category of operadic Batalin-Vilkovisky theories and generalized Lagrangian relations between them, together with a set of interesting examples and applications to topological recursion. This will be a common generalization of the ideas of Barannikov on modular operads and Batalin-Vilkovisky formalism, and the ideas of Ševera on the quantum odd symplectic category. The second objective is to develop computer assistant for graphical calculus, or an "intelligent paper". This will be an app allowing the user to perform calculations with string diagrams for symmetric and braided tensor categories, bringing the formalism introduced by Penrose to the computer screen. This will be a strongly interdisciplinary fellowship, combining mathematical research related to physics with applied computer science. Strong dissemination activities are planned to promote the app for graphical calculus, including a secondment at the School of Informatics at the University of Edinburgh, a leading research institute for quantum computing. At the Departments of Mathematics and Physics of the Humboldt University in Berlin, I will benefit from the active scientific environment and the expertise of my supervisor and co-supervisor. Their mentoring and the fellowship will develop my skills in mathematics, teaching, event organization and dissemination, allowing me to establish myself as a researcher.

Keywords: quantum field theory,quantum algebra,symplectic geometry,computer assisted algebra,category theory
Task-relevant cognitive maps and their role in spatial decision-making (ChoiceSpace)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-04-01
End date: 2029-03-31
Duration (months): 60.0
Total project cost (EUR): 1499721.0
EU funding (EUR): 1499721.0
Participants: 1
Project status: SIGNED

One of the hallmarks of our cognition is the ability to decide by thinking several steps ahead using an internal cognitive map. In the wild, map-based decisions can enable animals to select a target location based on the amount of food available and the cost of reaching there. But how are such decisions made? For example, how does the brain evaluate a nearby location with a small amount of food versus a distal location with more food? What if the route to the distal location is steep? Such spatial decisions are unique because evaluating a location depends not only on the learned properties of the location but also on inferred properties, like distance, that are estimated from an internal map. However, where or how in the brain are these maps stored and how they enable spatial decision-making remains unknown. Here we will address this question through three specific aims. First, we will test how animals choose among reward sites located at various distances, each dispensing different reward amounts. Next, we will investigate how animals deduce the costs and benefits associated with different trajectories in an environment to make an informed decision. Finally, we will decipher how these internal cognitive maps are formed. These questions will be studied using novel behavior paradigms with rats as the animal model. As rats perform these tasks, simultaneous activity of hundreds of neurons will be recorded from multiple brain regions using novel custom-built devices. To study the internal map formation and the mechanism of map-based decision-making, the neural activity will be analyzed using state-of-the-art machine learning techniques. Finally, the causal role of the corresponding brain regions in spatial decision-making will be tested using optogenetic perturbation experiments. This multi-disciplinary approach will uncover how the brain makes map-based spatial decisions – a phenomenon that remains unexplored but yet of great importance across species.

Keywords: cognitive maps,decision making,spatial navigation
Mobile Matter: American Goods in the Early Modern Maghrib (1492-1659) (MOMAT)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

The MOMAT project restores the place of the Maghrib in the early modern material exchange across the Atlantic and the Mediterranean. Covering the period from the late fifteenth century, with the inception of the Spanish conquest of the Americas, to the mid-seventeenth century and the fall of the Saadī Empire, MOMAT investigates how materials and knowledge stemming from the Spanish Americas were disseminated into North Africa. Specifically, the project traces the introduction of American foodstuffs, materia medica, intoxicants, and dyes, as well as the creation of local expertise about their use. Drawing on archival sources and surviving artefacts, MOMAT employs an innovative methodology which combines archival research, quantitative analysis, and research in museum collections. Connecting Iberian and Maghribi empires, the project aims to show that the influx of American goods transformed the economic, social, and intellectual life of the Ottoman and non-Ottoman Maghrib more profoundly than previously acknowledged. Moreover, MOMAT goes beyond the state of the art by reorienting the history of global material exchanges and consumption through the repositioning of the early modern Maghrib as a pivotal region in the early modern consumer revolution. Challenging a historiography typically centred on Asia and Western Europe, MOMAT aims to demonstrate that, as the meeting point of three different processes of imperial expansion (Iberian, Ottoman, and Saadī), North Africa emerged as a key but overlooked space of material innovation, where commodities proceeding from these three imperial spaces were used in conjunction. Through research, dissemination, and communication activities in the UK, North Africa, and continental Europe, the MOMAT project will enhance the Fellow’s research skills and expertise in the study of global material circulations and the history of the Maghrib.

Keywords: early modern global history history of consumption material culture north africa americas
The project strategy is centered on driving scale and reducing planting costs by developing tree seed coating technologies that enable direct seeding with a fleet of specialized delivery vehicles. (Precision tree seed)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Netherlands
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 250000.0
EU funding (EUR): 250000.0
Participants: 1
Project status: SIGNED

Land Life addresses the global challenge of two billion hectares of degraded land, equivalent to the combined landmass of the USA and China. Our mission is to facilitate the restoration of these vast areas within our lifetime, employing technology and science to enhance scale and establish high-quality reforestation initiatives. Land Life (est. 2013) is poised to revolutionize the reforestation industry by utilizing a novel combination of proprietary coated seed technology and delivery methods. Our solution involves two key components: - Coated Seed Technology: Land Life is developing specially coated seeds that are resilient to harsh environmental conditions, thereby ensuring a higher germination rate. The coating material also provides necessary nutrients to support early growth, reducing dependency on soil quality. The technology drastically increases speed and scale reduces costs of planting through bypassing nurseries (and the long lead times). Normally tree planting is done in Winter, and effectively lasts 2 to 3 months, this technology will increase the planting/seeding window 2-4x. Seed use is 80% less compared to current (direct seeding) methods. - Fleets of Electric Autonomous Vehicles: Utilizing artificial intelligence and precision robotics, our autonomous vehicles can deploy these seeds across vast areas at high speeds, regardless of terrain difficulty. Operating on electric power, these vehicles reduce carbon footprint and further contribute to our commitment to environmental sustainability.

Keywords: coated tree seed and precision seed delivery fleet of autonomous electrically powered terrestrial robots for precision delivery
Development, demonstration and validation of AI-powered software platform for autonomous real estate or property management (Autility)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Norway
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 3600000.0
EU funding (EUR): 3600000.0
Participants: 1
Project status: SIGNED

Real estate operations significantly contribute to global CO2 emissions, accounting for 27% and posing a substantial challenge in meeting the targets set by the Paris Agreement. This challenge is compounded by the fact that 80% of the buildings expected to be in use by 2050 have already been built. As the industry strives to achieve net-zero emissions, it faces several significant obstacles. Autility addresses these issues with a digital twin solution tailored for property technology (proptech) and ESG reporting. The platform offers real-time, interactive overviews of building operations, seamlessly integrating 2D floor plans into Building Information Models (BIMs). By using AI tools to convert traditional drawings into digital twins, Autility simplifies the management of building assets, providing predictive insights and recommendations. This approach ensures that building data is organized, accessible, and utilized effectively, enhancing property value and enabling the adoption of future technologies. Autility's solution also ensures compliance with ESG standards, promoting sustainable practices and improving the overall lifespan of building assets. The value proposition of Autility lies in its ability to provide tailored, asset-specific insights, significantly enhancing asset performance and sustainability. The platform reduces operational costs by up to 35% through AI-driven data extraction and categorization, offering a scalable solution that can be easily implemented across multiple properties. Furthermore, Autility supports various data formats, enabling seamless integration of new data sources and expanding its applications. This interoperability ensures that property managers can efficiently manage and optimize their assets, leading to higher rental yields and extended functional lifespan of buildings.

Keywords: smart city,digital twin
AI Empowered Early Autism Detection (EyeContact)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Israel
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

EyeContact’s vision is to revolutionize early childhood development through cutting-edge AI, making timely, accurate detection accessible to every child, unlocking their full potential. EyeContact has developed an advanced SaaS platform for early detection of developmental disorders, specifically Autism Spectrum Disorder (ASD). Our platform can identify autism in just seven minutes in children as young as 18 months, bridging the gap between professional recommendations and practical impact. The early detection of developmental disorders before the age of two and a half years is crucial for optimizing intervention, improving outcomes, and reducing the economic burden of ASD. However, as current detection often relies primarily on parental concerns, despite early screening requirements in the USA, the median age for autism diagnosis is still only age four, and in the EU, without early screening, age five. These late diagnoses of ASD children miss the critical window for early intervention and present compromised short and long-term outcomes. EyeContact has conducted successful clinical trials at Israel’s National Center for Autism Research, developed a functional MVP, and secured a signed LOI with a strategic partner in the USA. Our primary markets are the USA, where children are routinely screened at their 18 and 24-month paediatric visits, and Israel, where children are similarly screened at Tipat Halav centres (Family Care Centres). We are now working to adapt our product to the EU market, where routine autism screening is not standard practice. In this context, EyeContact will serve as a detection tool, targeting children with pre-identified concerns. By making detection easier and accessible, EyeContact will pave the way for regulators to bring mandatory screening to the EU. After conducting validation studies to suit the diverse European population, we will expand to key markets in Germany, France, and the UK.

Keywords: developmental disabilities,autism detection,biometric data,digital health,early detection