Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Unravelling ultrafine particulate matter and micro nano plastic's mechanisms of impact on fetal health (UPRISE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Living and working in a health promoting environment
Action type: Research and Innovation actions
Countries involved: Spain,Finland,Poland,Greece,Belgium,Germany,Portugal,Switzerland
Call: The role of environmental pollution in non-communicable diseases: air, noise and light and hazardous waste pollution (HORIZON-HLTH-2024-ENVHLTH-02-two-stage, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 8610278.73
EU funding (EUR): 7991696.34
Participants: 15
Project status: SIGNED

The UPRISE project aims to unravel the complex mechanisms by which air pollution, in particular ultrafine particles (UFPs) and micro-nanoplastics (MNPs), disrupt normal fetal development leading to an increased risk of adverse birth outcomes (ABOs), including preterm birth, increasing the risk of premature children to develop a range of non-communicable diseases (NCDs) in adulthood. UPRISE will develop exposure databases and assessment models for these emerging pollutants in different exposure scenarios to improve our understanding of their sources, concentrations and dispersion patterns. UPRISE will include a clinical study with pregnant participants exposed to different levels of UFPs and MNPs pollution to analyse possible modes of action leading to ABO based on transcriptomic, epigenetic or mitochondrial mutation analysis and subsequently identify possible key events, including molecular initiating events. As a result, causal models supported by weight-of-evidence analysis will be developed to demonstrate the link between contaminant uptake and events triggering the ABO of interest. To facilitate the dissemination of results and their application in policy-making, UPRISE will develop user-friendly tools for reporting and sharing data, with the aim of facilitating the integration of scientific evidence into the updating of European and national air quality standards. By advancing in the quantification of the public health impact of prenatal air pollution exposure and providing guidelines and decision support tools for policy makers, the project will contribute to reducing the burden of NCDs associated with preterm birth and other ABOs.

Keywords: birth adverse outcomes,air pollution,ultrafine particles,micronano plastics,urban environment
Impact of disruptive events on attitudes on science and democracy in seventeenth and eighteenth-century England and Denmark/Sweden (IDEAS-SEED)

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: Economic Sciences
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 247553.28
EU funding (EUR): 247553.28
Participants: 1
Project status: SIGNED

How do disruptive events shape the development of ideas on science and democracy? The question is of utmost importance in our world today as we face an increasing frequency of disruptive events, such as pandemics or wars. To gain a long-run understanding of the fundamental factors that link disruptive events to changes in the development of ideas on science and democracy, the IDEAS-SEED (henceforth IDEAS) project will explore natural experiments in history. Specifically, it will study two university pairs in early-modern Europe that were highly similar in institutions and composition of their student body, yet got treated by plague, warfare, and famine at different times each. The first pair is the University of Oxford and Cambridge in England and the second pair is the University of Copenhagen in Denmark and Lund University in Sweden. The study will cover the timespan of 1600-1720, the time of the Scientific Revolution and competing ideas between liberal Parliamentarianism and kingly absolutism. To quantify ideas, the project will match students at these universities to their publication titles. Then, using state-of-the art techniques in natural language processing and AI, the project will classify the topics of students' publications and identify students' ideological stances. To ensure accuracy free from present-day bias, the study will fine-tune an LLM on historical data. The fine-tuned LLM will be publicly shared and will also be an outcome of the IDEAS project. Overall, the IDEAS project will use a set of natural experiments to explore how disruptive events shaped the development of ideas on science and democracy at the time of the Scientific Revolution and the first writings on liberal democracy- thereby studying the origin of the scientific and democratic beliefs of our modern societies.

Keywords: knowledge economy,innovation and invention,origin of ideas
Flexible Open Architecture and AI-driven Enabling Technologies for a Novel 6G Connectivity Platform (FLECON-6G)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Smart Networks and Services
Action type: Research and Innovation actions
Partnership: SNS (JU-JTI)
Countries involved: Greece,France,Italy,Netherlands,Cyprus,Spain,Romania,Ireland,Germany,Denmark
Call: System Architecture - Standardisation and Follow-up/PoCs (HORIZON-JU-SNS-2024, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 8633860.0
EU funding (EUR): 7971093.75
Participants: 19
Project status: SIGNED

FLECON-6G gathers key participants from Phase-1 and Phase-2 SNS JU projects, aiming to make the “Intelligent 6G Network of Networks” vision a reality, with Trustworthiness and Generalisability of Native AI and Network Digital Twins (NDT) assisted approaches. It aims to deliver key technological assets in the form of collaborative and distributed frameworks offering scalability and support for multi-domain, multi-stakeholder infrastructures, jointly with network infrastructure programmability that supports the offloading of network application logic. FLECON-6G provides groundbreaking research to drive the next phase of 6G Native AI research, addressing Trustworthiness and Generalizability via novel intent-driven frameworks and robust Foundation Models, that not only deliver zero-touch orchestration but also performance guarantees and robustness in multi-stakeholder infrastructures. A multi-layer, multi-vendor NDT framework will also assist online decisions and resolve conflicts among multiple closed control loops operating in reactive, proactive or predictive mode for zero-touch self-optimisation. At the business layer, a Smart Marketplace will facilitate the creation of a wide, sustainable ecosystem of highly diversified stakeholders, through which, MNOs, digital service providers, verticals and software developers of AI or DT software applications will jointly collaborate to build more integrated and intent-driven service offers, composing a plethora of modular assets for their effective monetisation. In line with EU’s policies, FLECON-6G will design, develop and validate through relevant PoCs, several secure, trustworthy, resilient and reliable solutions across 4 heterogeneous verticals that require 6G performance capabilities. FLECON-6G will strongly impact standardisation, with significant contributions to 3GPP, ITU, ETSI, GSMA and O-RAN and open-source communities.

Keywords: network of networks,native ai,network digital twins,trustworthiness and generalizability
European Doctoral Network for Resilient Remote Healthcare using Intelligent Sensing and Communication Technologies (SMARTTEST)

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: Information Science and Engineering
Countries involved: Netherlands,Belgium,Italy,Czechia,United States,Canada
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2025-02-01
End date: 2029-01-31
Duration (months): 48.0
Total project cost (EUR): 3011880.34
EU funding (EUR): 2900692.8
Participants: 20
Project status: SIGNED

Current healthcare systems rely heavily on individual’s self-monitoring ability to identify symptoms and initiate professional medical intervention, because of the limited possibilities to monitor a person's health proactively and from a distance. SMARTTEST is a timely, innovative and the first doctoral training network with an inter-disciplinary team of 9 academic & 8 industrial partners, 1 state inspectorate, 1 hospital and 1 social service organization, aiming to bring up a future generation of engineers capable of bridging advanced integrated sensing and communication (ISAC) technologies, smart biomedical signal analytics and health/disease monitoring to maximize the effectiveness of personalized healthcare. SMARTTEST will develop and validate the first proactive and contact-free remote health monitoring system by integrating human sensing, vital function (body motion, vital signs) monitoring, and health status assessment into future wireless communication networks. This will be achieved via efficient multi-modal radio system integration (WP1), radio signal analytics and human vital information aggregation (WP2), biomedical signal classification and prediction for quicker response times and long-term disease prevention and management (WP3), and autonomous radio resource management for dynamic sensing and monitoring tasks in dynamic environment with regulatory compliance and sustainability (WP4). SMARTTEST will adopt theory- and experiment-research training, complementary and transferrable career training, demonstration and application training, together with multidisciplinary, multi-sector and multi-culture exposure, to enable 11 doctoral candidates to become highly employable future leaders in domains of information and communication/radar technology, data science, healthcare and remote health monitoring, standardization and regulation of radio/digital infrastructure and medical device. Essentially, SMARTTEST will strengthen the European innovation capability.

Keywords: integrated sensing and communication joint communication and sensing vital sign,pose,and motion estimation biomedical signal processing remote health monitoring and assessment sustainability
MANUFACTURING GUIDING TOOL FOR CIRCULAR AND PROGRAMMED BIODEGRADABLE MATERIALS UNDER OPEN ENVIRONMENT CONDITIONS (MAGICBIOMAT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Other Bio-environnement destinations
Action type: Research and Innovation actions
Countries involved: Ireland,Italy,Türkiye,Estonia,France,Cyprus,United Kingdom
Call: Programmed biodegradation capability of bio-based materials and products, validated in specific environments (HORIZON-CL6-2024-CIRCBIO-01, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 4552006.65
EU funding (EUR): 3865504.86
Participants: 7
Project status: SIGNED

Biodegradable alternatives offer a promising solution to plastic pollution and waste littering in the open environment in some specific contexts, as they break down naturally under specific environmental conditions. However, it is often reported that many biodegradable plastics do not fully degrade in their receiving environment. MAGICBIOMAT aims at developing a portfolio of circular bio-based materials with programmed biodegradability demonstrated through 2 applications with highly concerning rates of littering: mulching films and paper-based packaging, tested in open environments conditions (soil, fresh water and marine) and different EU climates. Moreover, MAGICBIOMAT will address circularity by improving the durability of the developed bio-based materials for extending lifespan of products, as well as assessing mechanical recycling, remanufacturing, and reuse. To enable programming of biodegradability of the bio-based materials, MAGICBIOMAT will develop a trustworthy Artificial Intelligence (AI) powered software to guide the design and manufacturing of novel materials according to applications requirements (properties, manufacturing) and end-of-life needs and conditions, exploiting data from the project material development and biodegradation tests, complemented with open access data. This tool will foster adoption of novel bio-based biodegradable materials by the industry. Prevention of waste littering will also be tackled through consumers’ and end users’ perspective, for which behavioural studies will be carried out to develop interactive labelling and behaviour change strategies that foster user-acceptance of the novel biodegradable materials.

Keywords: bio based polymers,biodegradable polymers,programmed biodegradation,open environment,manufacturing guiding tool,social studies
Tackling Conspiracy Theories by Fostering Resilience and Political Self-Efficacy in Democracies (TaCT-FoRSED)

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 Democracy and Governance
Action type: Research and Innovation actions
Countries involved: Germany,Austria,United Kingdom,France,Ireland,Spain,Slovakia,Czechia
Call: The interrelation between social, cultural and political identities, as well as the sense of belonging, and democracies (HORIZON-CL2-2024-DEMOCRACY-01, 2024)
Start date: 2025-02-01
End date: 2028-01-31
Duration (months): 36.0
Total project cost (EUR): 3011496.25
EU funding (EUR): 3009246.25
Participants: 15
Project status: SIGNED

Liberal and constitutional democracies in Europe are currently under massive pressure from authoritarian populism, culture wars and identity conflicts. A key issue is the erosion of trust in democratic institutions and the parallel rise in belief in conspiracy theories. The latter undermine democratic procedures as well as citizen engagement and create harmful political identities by exploiting the inherent vulnerabilities of democracies: their openness and the ambiguity of decision-making processes. These identities block political discourse with authoritarian narratives and hinder effective political action, threatening democracies from within. TaCT-FoRSED closes a scientific gap regarding the interrelation between democracy, identity formation and conspiracy theories. Using existing research and collecting new data, the project plans to a) investigate the impact of conspiracy theories on the adoption of an anti-democratic group identity and, conversely, to explore concrete identity factors that strengthen or weaken resilience to conspiracy myths. Based on the realisation that the complexity of value-pluralistic democracies is the counterpart to any simplistic, authoritarian friend-foe thinking of conspiracy beliefs, democratic identity formation processes are also seen as an opportunity to effectively combat conspiracy narratives. TaCT-FoRSED will therefore b) address its key target group of multipliers in the educational fields and develop OER that specifically promote democratic self-efficacy to foster a counter-identity to any conspiracy mentality. These materials will be evaluated together with relevant institutions from different target groups. The project will thus improve the legitimacy of knowledge-producing institutions and political parties by supporting democratic participation. c) The findings made by TaCT-FoRSED will result in policy recommendations for political stakeholders and educators in order to make the gained solutions widely accessible.

Keywords: identity formation,democracy,trust,citizen engagement,political participation
Orchestration and Programming ENergy-aware and collaborative Swarms With AI-powered Reliable Methods (OpenSwarm)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: France,Ireland,Belgium,Portugal,Germany,Austria,United Kingdom
Call: Programming tools for decentralised intelligence and swarms (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2026-04-30
Duration (months): 40.0
Total project cost (EUR): 5322116.25
EU funding (EUR): 5322116.25
Participants: 10
Project status: SIGNED

Low-power wireless technology tends to be used today for simple monitoring applications, in which raw sensor data is reported periodically to a server for analysis. The ambition of the OpenSwarm project is to trigger the next revolution in these data-driven systems by developing true collaborative and distributed smart nodes, through groundbreaking R&I in three technological pillars: efficient networking and management of smart nodes, collaborative energy-aware Artificial Intelligence (AI), and energy-aware swarm programming. Results are implemented in an open software package called “OpenSwarm”, which is verified in our labs on two 1,000 node testbeds. OpenSwarm is then validated in five real-world proof-of-concept use cases, covering four application domains: Renewable Energy Community (Cities & Community), Supporting Human Workers in Harvesting (Environmental), Ocean Noise Pollution Monitoring (Environmental), Health and Safety in Industrial Production Sites (Industrial/Health), Moving Networks in Trains (Mobility). A comprehensive dissemination, exploitation, and communication plan (including a diverse range of activities related to standardization, educational and outreach, open science, and startup formations) amplifies the expected impacts of OpenSwarm, achieving a step change enabling novel, future energy-aware swarms of collaborative smart nodes with wide range benefits for the environment, industries, and society.

Keywords: swarm,sustainability,energy,collaboration,dynamic network
Bio-inspired UAV swarm flocking guided by information-theoretic principles (BUGI)

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: Information Science and Engineering
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-02-01
End date: 2027-01-31
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 2
Project status: SIGNED

Autonomous UAV swarms emerge as a disruptive technology with impact on many areas of our life, from monitoring key ecosystems and hazardous environments to enabling advanced data insights. However, creating large, decentralized UAV swarms with synchronized flocking behavior and autonomous collision avoidance is a challenge. This project aims to develop a holistic framework for supporting the design of UAV swarms based on generic information-theoretic principles - empowerment and relevant information - complemented with the bio-inspired influential neighbourhood principle. The key objectives are to design locally optimized control mechanisms guiding the collective motion and to provide theoretical measures for real-time characterization of swarm cohesion. The influential neighborhoods theory provides an efficient strategy for maintaining group cohesion in the coordinated motion of animal groups. It allows agents to limit their attention to a small subset of their neighbors, reducing information processing and cognitive load and offers explicit and concise models that can be implemented directly. Empowerment models agent’s behaviour with the principle of keeping one’s options open, assuming that, maximizing the future potential outcome of one’s actions is a survivability driver in nature. Relevant information provides a measure, quantifying the minimal amount of information an agent needs to process in order to achieve a certain level of utility. Identifying influential neighbourhoods dynamically will serve as a base for maximizing agent’s empowerment which will guide the UAV swarm self-organized collective motion. The integration of relevant information, influential neighbourhood identification and empowerment maximization into a novel principled framework for optimizing agent’s decision-making will provide enablers for the future adaptive and scalable UAV swarms, maintaining swarm cohesion while manoeuvring in uncertain and complex dynamic environments.

Keywords: swarm robotics,uav swarm,information theoretic,bio inspired,drone,flocking,collective motion
New molecular understanding of mental disorders through deep cerebrospinal fluid phenotyping (Deep-CSF-inPsych)

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: Denmark
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 1499070.0
EU funding (EUR): 1499070.0
Participants: 1
Project status: SIGNED

Psychiatry is lacking truly objective markers and the limited molecular understanding of disease mechanism underlying mental disorders inhibits us to design new therapies, for which identification of novel treatment targets are urgently needed. No study has yet conducted deep phenotyping of the cerebrospinal fluid (CSF), which is the biological material closest to the brain that is assessable for direct investigations in intra vitam, and no large longitudinal CSF studies on mental disorders currently exists. I aim at a paradigm change by advancing the current state-of-the-art through novel deep CSF phenotyping on unique CSF samples from individuals with first episode psychotic disorders, depression and healthy controls, to be followed-up longitudinally clinically, and in nationwide registers. Pushing the frontiers of knowledge within psychiatry, I will use novel technologies and for the first-time for these disorders use cutting edge single cell sequencing of cell compartments in the CSF potentially involved in or affected by disease, with a particular focus on T cell alterations. For the first time, longitudinal omics analyses will be conducted with targeted and untargeted metabolomics and proteomics to identify disease relevant metabolites and proteins in the CSF, increasing the understanding of molecular mechanisms of psychiatric symptoms and diagnosis. Systems biology and deep learning approaches will provide crucial insights into biological pathways and the interplay between brain pathophysiological mechanisms in a cross-diagnostic manner, potentially identifying biologically distinct clusters, disentangling the involved molecular mechanisms. This approach is unprecedented. Identification of novel therapeutic targets, increasing the understanding of mental disorders and insights to molecular mechanisms through deep CSF phenotyping has a ground-breaking potential for psychiatry and neuroscience - paving the way for more effective and mechanism-based treatment.

Keywords: mental disorders,psychotic disorders,schizophrenia,depression,mood disorders,neuroimmunology,single cell sequencing,metabolomics,proteomics,machine learning,deep learning,systems biology,public health,health care research