Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Development of a novel highly efficient energy supply system for energy autonomous multi-family buildings based on biomass gasification coupled with an SOFC and a PV system (Micro-Bio-CHP)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Sweden,Austria,Switzerland
Call: Cost-effective micro-CHP and hybrid heating systems (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-10-01
End date: 2026-03-31
Duration (months): 42.0
Total project cost (EUR): 3924195.0
EU funding (EUR): 3924195.0
Participants: 8
Project status: SIGNED

The project aims at the development of an innovative RES-based system for heat and electricity supply in order to achieve an almost energy autonomous multi-family building with regard to heating and electricity consumption as well as electro-mobility. This shall be achieved by integrating a novel highly efficient biomass micro-CHP technology based on an updraft gasifier, a new gas cleaning system and a solid oxide fuel cell (SOFC), a state-of-the-art PV system and appropriate innovative energy storage solutions. This system shall be economically highly attractive for future users and it shall also distinguish itself by virtually zero emissions of CO, OGC and dust as well as 55% to 65% reduced NOx emissions compared to other biomass CHP technologies. Consequently, it shall increase the penetration of RES on the multi-family house level and has the potential to significantly contribute to reaching the EU climate and clean air goals. The key innovations of the project are related to the novel micro-scale biomass CHP system. They comprise a flexible partitioning of product gas supplied to the SOFC and to a gas burner in order to cover the overall heat demand and to maximise SOFC operation at the same time, a novel combined thermal and catalytic tar reformer, new highly efficient and durable stack units and a novel compact SOFC system with integrated HCl and H2S removal reactor. Based on a 2.5 kWel SOFC with an electric efficiency of 44%, which is flexibly coupled with a 14 kW gasifier, overall efficiencies of more than 90% shall be gained. A TRL of 5 shall be achieved at the end of the project. The methodology applied to reach these goals relies on technology development tasks (based on process simulations, CFD aided design of the single units, test plant construction, performance and evaluation of test runs), a technology assessment part covering risk, techno-economic, environmental and overall impact assessments as well as targeted dissemination activities.

Keywords: biomass gasification thermal and catalytic tar reforming solid oxide fuel cell pv system energy autonomous building multi family house
WHat-if: Advanced Simulations for Testing the Effect of the Information Environment on the Functioning of Democracy (WHAT-IF)

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: Netherlands,Spain,United Kingdom,Germany,Italy,Austria,Romania,Lithuania,Ireland,Belgium
Call: Computational Social Science approaches in research on democracy (HORIZON-CL2-2024-DEMOCRACY-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 3197385.0
EU funding (EUR): 3197385.0
Participants: 15
Project status: SIGNED

BACKGROUND: The rapidly evolving political information environment poses significant challenges to democratic citizenship through e.g. the spread of disinformation, rise of hate speech, and lack of cross-cutting information. Methodological challenges, including proprietary data, limited external validity of experiments, and the inability to use societies as experimental playgrounds, hinder our ability to comprehensively understand the impact of interventions and regulations in improving the quality of democratic discourse. AIM: WHAT-IF aims to develop and critically assess an empirically grounded simulation functioning as a digital twin of the digital political information environment. This ‘WHAT-IF machine’ can be used to test the effects of potential policy and regulatory interventions on democratic citizenship, offering a tool for evidence-based policy making in the realm of (social) media quality and regulation. APPROACH: Our innovative approach combines data donation, Agent-Based Modeling and Large Language Models to create the simulation. It is validated using immersive virtual field experiments and by modeling 'what-if' scenarios based on proposed policy interventions and regulation. Co-creation with stakeholders including policy makers and citizens ensures close alignment with their needs. Finally, a critical analysis of the whole empirical chain will give insight into the desirability and legal feasibility of datafication and simulation of the political information environment. IMPACT: Our insights into the role of the political information environment in shaping democratic citizenship will contribute to effective (social) media regulation and interventions. We will significantly contribute to novel Computational Social Science methods: we will integrate advanced AI tools with existing modeling approaches, and use respondent-centered data collection and synthetic data methods to harmonize CCS research with GDPR and other regulations.

Keywords: simulation digital twin information environment social media data donation trust misinformation democratic citizenship privacy media policy agent based modeling large language models
Twinning for Building Excellence and Innovative Solutions in Flow Catalysis (FLOWCAT)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Panel: Environment and Geosciences
Countries involved: Slovenia,Italy,Austria,Belgium,Spain
Call: Twinning Bottom-Up (HORIZON-WIDERA-2023-ACCESS-02, 2023)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 1542961.66
EU funding (EUR): 1499987.51
Participants: 6
Project status: SIGNED

Developing continuous production systems through efficient (bio)catalytic processes - flow catalysis - supported by artificial intelligence is a key paradigm in advanced and sustainable manufacturing. FlowCat aims to address these challenges by fostering collaboration between University of Ljubljana (UL) and leading international research groups in the field of flow catalysis. By twinning with Politecnico di Milano, University of Bari Aldo Moro, University of Graz, KU Leuven, and Sustainable Momentum SL, UL seeks to facilitate knowledge exchange and research cooperation on harnessing bio-based raw materials for the continuous production of valuable compounds. FlowCat's objectives include knowledge and skillset transfer through workshops, summer schools, and on-site training focused on junior scientists. This aims to enhance UL's research excellence, project management, and administrative capabilities, ultimately increasing its competitive research funding and fostering stronger ties with industrial stakeholders. FlowCat is committed to the wide dissemination of project outcomes. Research findings, innovative methodologies, and best practices will be shared through scientific publications, international conferences, and dedicated project workshops. Open-access repositories will also be utilized to make research outputs readily accessible to the global scientific community. Furthermore, the project places significant emphasis on the exploitation of results. Intellectual property generated during the project will be managed strategically to ensure both academic and commercial benefit, aligning with the project's goal of contributing to advanced and sustainable manufacturing practices. FlowCat envisions a transformative impact on continuous chemo-enzymatic synthesis, with the potential to significantly reduce industrial pollution, material consumption, and energy usage. These ambitions are harmoniously aligned with Slovenia's Sustainable Smart Specialisation Strategy.

Keywords: catalysis chemical engineering biocatalysis continuous process cascade reactions
Randomness and structure in combinatorics (RANDSTRUCT)

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: Austria
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1343890.0
EU funding (EUR): 1343890.0
Participants: 1
Project status: SIGNED

Randomness plays an inseparable role in combinatorics. Indeed, non-constructive probabilistic arguments are a powerful way to prove the existence of various kinds of combinatorial objects, and the study of random discrete structures has illuminated nearly all fields of combinatorics. I propose a program to achieve a deeper understanding of this role of randomness in combinatorics, emphasising the relationship between “structured” (hence explicit) objects, and random or “random-like” objects. A) There are many situations in combinatorics where probabilistic arguments demonstrate that “almost all” objects satisfy a certain property, but it is difficult to explicitly specify an object with the property. The most notorious examples are in Ramsey theory, which studies how “disordered” it is possible for an object to be. I plan to investigate the structure of Ramsey graphs, with the goals of unifying the area and making decisive progress on important conjectures. B) Conversely, certain areas of combinatorics have been slower to benefit from the probabilistic method; particularly areas in which algebraic constructions play a major role. Design theory is the study of combinatorial “arrangements” with very strong regularity properties, most naturally obtained by exploiting symmetry/regularity properties of algebraic structures. I plan to investigate probabilistic aspects of design theory, and in particular to build a theory of random designs. C) Actually, structure and randomness often come together, due to the “structure vs pseudorandomness dichotomy” elucidated by Tao. Indeed, there are many important problems in combinatorics for which it is known how to solve both random instances and “structured” instances; in such cases we hope to decompose general instances into structured and pseudorandom parts, handled by different means. I describe several concrete problems in this vein, whose study will advance our general understanding of this phenomenon.

Keywords: design theory,ramsey graphs
Back to the Future: Anticipatory synchronisation as a core mechanism for interarea brain communication (BACK2FUTURE)

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: Netherlands
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1499750.0
EU funding (EUR): 1499750.0
Participants: 1
Project status: SIGNED

Our brain processes multitudes of signals based on recurrent network activity involving feedforward and feedback interarea communication. To funnel information efficiently between areas, low-frequency rhythmic neural activity patterns couple to each other. It is an unresolved question how early sensory cortex (SC) can couple efficiently to both feedforward sensory information flow and feedback information flow arriving from higher order regions such as prefrontal cortex (PFC). Since PFC and sensory input lack direct coupling and operate with their own temporal dynamics, SC decouples from the sensory input when PFC couples to SC. It is therefore not possible to achieve efficient multi-area coupling in currently proposed feedback-driven coupling schemes. In search of a mechanism to address this problem I resort to a dynamical systems process called anticipated synchronization (AS). During AS, a receiving system (PFC) sends a copy of its own activity as delayed feedback to itself, allowing this system to - paradoxically - anticipate the dynamics of the driving system (SC). During AS, information from PFC is sent back to SC arriving at the right time in the future, while SC maintains sensory coupling. My goal in the next 5 years is to provide evidence of interarea AS coupling by creating a biophysical model of AS, empirically testing its predictions using ECoG data, psychophysics and EEG. By validating the use of tACS to control coupling, I will experimentally induce AS in a new closed-loop set-up that stimulates PFC with its own delayed activity. The proposed research will settle a critical theoretical debate on temporal coordination of interarea brain communication and will provide the computational basis for the hitherto unexplained excess of local feedback loops in the brain. The findings will inform new closed-loop treatment approaches and can improve biologically-inspired artificial intelligent systems that currently disregard the exact timing of information flow.

Keywords: temporal processing oscillations coupling sensory processing
A data-driven context-adaptive channel sounding method for large-scale multiple-input multiple-output (MIMO) systems to boost next-generation Wi-Fi network efficiency (MIMOSA)

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: Italy,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2029-08-31
Duration (months): 36.0
Total project cost (EUR): 396991.08
EU funding (EUR): 396991.08
Participants: 3
Project status: SIGNED

The digitalisation of society is leading to the creation of virtual worlds where people can meet, work, and access services remotely. This calls for fast and reliable wireless connectivity to provide Internet users with a fully immersive experience. While Wi-Fi is ubiquitously being used for indoor connectivity, current networks are unable to fulfil the data rate requirement of emerging applications and the massive service request of the huge number of Wi-Fi terminals, which are growing at a rate of more than 4 billion devices per year. The multiple-input multiple-output (MIMO) technology would theoretically make Wi-Fi able to meet such requirements by concurrently transmitting several data streams via multiple antennas. However, the airtime overhead imposed by the periodic exchange of control data for channel sounding – the procedure that enables MIMO transmissions – does not scale well with an increasing number of antennas. To address this daunting challenge, MIMOSA will lay the technical and scientific foundations of a new method for MIMO channel sounding that will drastically reduce the airtime overhead. MIMOSA will research and develop advanced signal processing and deep learning algorithms to customise the sounding to the specific MIMO deployment and propagation environment, while controlling the computational complexity based on the required communication performance. MIMOSA's sounding will enable the efficient implementation of large-scale MIMO, which allows serving multiple devices simultaneously without impacting the network energy budget. This will help reach the EU's Digital Decade target of providing all households with Gigabit connectivity through sustainable networks by 2030. The research will be conducted at Northeastern University (USA) and the University of Padova (Italy). MIMOSA's sounding will be designed and evaluated via extensive data-collection campaigns with custom testbeds and commercial Wi-Fi devices available at the two institutions.

Keywords: wi fi,mimo,multiplexing,channel sounding,unlicenced spectrum,spectrum efficiency,energy efficiency
Universality Classes for Strongly Correlated Random Fields (UniCorn)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: United Kingdom
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 1885370.0
EU funding (EUR): 1885370.0
Participants: 2
Project status: SIGNED

The objective of this project is to develop the mathematical theory of critical phenomena. In spite of recent breakthroughs, second-order phase transitions have remained largely elusive in dimensions 3 and higher and represent a formidable challenge. The project will make headway on this and related fundamental problems, especially in the hard intermediate dimensions. The expected outcomes of this proposal will provide prime rigorous results that determine the scaling behaviour of certain non-planar percolation models near their critical point. Its findings are meant to put a heuristic scaling theory originating from physics on firm mathematical foundations. This theory is at the heart of modern computational methods and goes back to foundational (Nobel-prize winning) work on renormalisation. Universality is the guiding principle by which the behaviour of many physical systems ought to be largely independent of the specifics of the model considered and instead only depend on a few key parameters. The project is designed as a full-fledged study of several judiciously chosen models with long-range (LR) correlations, which my recent works have identified as ideal candidates for a rigorous investigation. These benefit from a rich mathematical structure stemming from the interplay between percolation and random walks, which can be forcefully exploited. Building on my recent results, I plan to tackle a series of questions, in order to: (1) identify and describe their off-critical phases; (2) prove the existence of critical exponents exhibiting (hyper-)scaling; (3) investigate scaling limits of critical clusters and study their fractal geometry. The outcomes of steps (1)-(3) will give rise to a rigorous (near-)critical scaling theory for the continuous phase transition associated to these LR-models, and identify their universality classes. In so doing the project will also tackle several related problems in disordered systems and random media.

Keywords: critical phenomena,phase transitions,random walks,percolation
Urban Transitions Mission of Mission Innovation (MI UTM) (MI UTM)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Climate neutral and smart cities
Destination: Climate neutral and smart cities
Action type: Coordination and support actions
Countries involved: Denmark
Call: Urban Transitions Mission of Mission Innovation (HORIZON-MISS-2024-CIT-IBA, 2024)
Start date: 2025-01-01
End date: 2026-12-31
Duration (months): 24.0
Total project cost (EUR): 1000000.0
EU funding (EUR): 1000000.0
Participants: 1
Project status: SIGNED

The Urban Transitions Mission (UTM) mobilises decision makers across all levels of government to prioritise climate-neutral and net-zero pathways enabled by clean energy and systemic innovation across all sectors and in urban governance. By accelerating capacity-building and closing the gap between research, development and deployment, the Mission empowers cities to adopt innovative solutions and help reach tipping points in the cost and scale of those solutions for urban transitions. Launched at COP26, the UTM is one of the seven missions of Mission Innovation - a global initiative catalysing a decade of action and investment in research, development and demonstration to make clean energy affordable, attractive and accessible for all. The Mission brokers solutions, approaches, and knowledge for net-zero transitions at each step of a city climate action journey. The work proposed aims to: - Consolidate and capitalize on two years of achievements - ensuring that the Mission stays its course and remains both relevant and ambitious against the ever-evolving goals and challenges that sustainable urban development faces. - Expand the UTM cohort by recruiting up to 200 new cities - working towards the Mission's goal to support 300 cities globally to be well on their way to reach net-zero by 2030 - Strengthen capacity building, knowledge sharing and technical support for new and existing cohort of cities - helping cities apply the UTM net-zero Transitions Framework to future-proof their current strategies and climate plans, and offering a platform to exchange robust, cross-sectoral and integrated solutions - Accelerate demonstration of innovative solutions in response to the most urgent needs and R&I priorities for cities - in collaboration with research, academia, a Global Alliance of partners including national governments, financial institutions, and private sector supporting cities to develop, pilot, and scale innovative solutions and approaches for urban transitions.