Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ENLIGHTENED: dEmonstratioN of integrated roll-to-roll assembly of LIGHT ENergy harvester and flexible hybrid Electronics to produce IoT Devices (ENLIGHTENED)

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: Innovation actions
Countries involved: Sweden,Finland,France,United Kingdom,Germany,Canada,Netherlands,Norway
Call: Low-power PV (HORIZON-CL5-2024-D3-01, 2024)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 3871783.41
EU funding (EUR): 3248488.59
Participants: 12
Project status: SIGNED

Currently, most Internet of Things (IoT) devices and low power consumer electronics devices are powered by primary non-rechargeable batteries, which require periodic replacement and maintenance owing to their relatively short lifespans as power sources. Considering the advancement of IoT ecosystems for smart homes, offices, factories and retail (by 2027, an estimated 30 billion IoT devices will be in use), powering a huge number of IoT devices solely from primary batteries would not be practically sustainable from an environmental, resource, safety and cost perspective. Energy harvesting technology has the potential to overcome these issues through providing self-sufficient, autonomous, low-power for IoT electronics by harvesting available unused energy. A promising energy harvesting technology is through light energy harvesting (LEH) of ambient indoor light using photovoltaic technology which is capable of generating power even under indoor low-light conditions. Within this class of photovoltaic devices are organic photovoltaics (OPV), which, unlike inorganic silicon, have various inherent advantages such as lightweight, flexibility, solution processability and cost-effective large area manufacturing capabilities. Moreover, OPVs can convert weak indoor light into electricity more efficiently than other PV technologies due to their spectral tunability and higher optical absorptivity as well as low leakage currents which are desirable for efficient operation of PV cells as they minimise power losses and improve the fill factor, especially at low-light intensities. The main focus of the ENLIGHTENED project is to increase the potential of PV technology for low-power, low-light applications by demonstrating the viability and potential of OPV-based LEH technology, to meet the power and energy requirements of a diverse range of customers representing Retail, Property Tech and Consumer Electronics.

Keywords: organic photovoltaic,light energy harvester,printed hybrid electronics,internet of things
Systems Biology, Artificial Intelligence and Advanced BiOtechnology Approaches to Improve Soil BioREMediation (BIOREM)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Spain,Slovenia,Netherlands,United Kingdom
Call: MSCA Staff Exchanges 2023 (HORIZON-MSCA-2023-SE-01, 2023)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 543457.14
EU funding (EUR): 478400.0
Participants: 6
Project status: SIGNED

The growing presence of hazardous compounds in the environment such as persistent organic pollutants compromises the health of ecosystems and humans worldwide. The spontaneous ecological recovery of contaminated sites is possible due to the action of biological agents, including plants and microorganisms. The exploitation of the capability of the latter to transform toxic contaminants into harmless end-products can lead to cheap and sustainable bioremediation alternatives. However, the significant knowledge gap on the molecular mechanisms and microbial species responsible for an efficient detoxification of specific pollutants in determined environmental conditions is a burden slowing down the development of efficient microbial assisted bioremediation technologies. BIOREM is an integrated action conformed by experts in microbial systems biology, artificial intelligence tools and environmental sciences that will work together to gain knowledge in the identification of responsible microbial metabolic routes within natural and synthetic consortia for the degradation of target contaminants. The project through inter-sectorial and multidisciplinary training and collaboration will investigate the synergetic effect of different and combined bioremediation strategies, such as bioaugmentation, bioestimulation and microbial-assisted phytoremediation, stablishing links between effective pollutants removal and the responsible microbial pathways. Predictive models for TPHs and PAH remediation will be developed using High-Perfomance Computing (HPC) and Artificial Intelligence to enhance the efficiency of bioremediation strategies by enabling the analysis of vast amounts of environmental data. The integration of the project information (key microbial players and environmental conditions) into mathematical models will allow the establishment of tailored and efficient removal strategies based on the chemical composition and natural microbiome presence in polluted sites.

Keywords: bioaugmentation,bioestimulation,genome scale modelling,persistent organic pollutants,heavy metals,microbial communities,systems biology,transcriptomics,artificial intelligence
Lobbying and Corporate Political Connections in Europe (LOBCON-EU)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-07-01
End date: 2025-06-30
Duration (months): 24.0
Total project cost (EUR): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: SIGNED

How does corporate lobbying affect democratic representation and economic activity in Europe? Lobbyists play a key role in the democratic process, but tight links between business and politics often raise the question of conflicts of interest and disproportionate corporate influence. Yet, we know little about how corporations influence politics in Europe. Current work focuses on the U.S., due to the availability of high-quality data. In contrast, there is a lack of quantitative research on corporate influence in Europe. The LOBCON-EU project investigates the impact of lobbying and corporate political connections in Europe. First, the project develops an integrated theoretical framework on corporate political activity applicable to different European contexts. Second, the project uses novel data from the new German lobbying register linked data on the professional background of lobbyists, to answer the question who becomes a lobbyist? Third, the project uses data on lobbying meetings between of the European Commission to answer how do policymaker characteristics affect lobbying? Finally, the project uses linked Danish individual and business register data to study why do individuals transition between the private sector and politics? LOBCON-EU uses big data and state-of-the-art quantitative methods to establish the causal effect of lobbying on politics and firm performance. The LOBCON-EU project will generate evidence on corporate political activity in Europe and make new data available to researchers and the public. Moreover, the project informs policymakers about potential economic inequalities and welfare losses resulting from lobbying activities. The results will further contribute to ongoing debates among public officials and civil society groups on the creation and reform of lobbying disclosure mechanisms. Finally, by making lobbying and corporate lobbying more transparent, the project also contributes to public trust in the democratic process.

Keywords: political economy,lobbying,corporate political influence,big data,europe
Romanian Excellence Center on Artificial Intelligence in Earth Observation Data for Agriculture (AI4AGRI)

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
Countries involved: Romania,France,Italy
Call: Twinning (HORIZON-WIDERA-2021-ACCESS-03, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 1412360.0
EU funding (EUR): 1412360.0
Participants: 6
Project status: SIGNED

The world population will increase from 7.5 to 9.7 billion by 2050, boosting agricultural demand and adding pressure on natural resources. Although agriculture remains the main activity in many countries, the decline in agriculture’s share of total production and employment is observed. Agricultural investments and technological innovations are needed to boost productivity. Romania, with an agricultural capacity of 14.7 million hectares from which 6.8 million hectares are not or under-exploited, could play a major role in the strategic autonomy and food security and sustainability of Europe. Romania’s agricultural capacity is heavily underexploited due to obsolete technology, soil fragmentation/erosion, desertification and difficulty in accessing funds. Artificial intelligence (AI)-based systems and applications have a significant potential for agriculture. The Copernicus EU Programme, offering free access to accurate Earth Observation (EO) data provided by the Sentinel satellites, opens incredible possibilities for future research and AI-based applications for the purpose of sustainable development of agriculture in Europe. The AI4AGRI project aims at creating a dedicated research center for AI in EO for the agricultural sector. The research excellence will be achieved through dense networking activities with two top research institutes in France and Italy in AI and EO. AI4AGRI research center will become a reference to train young scientists in the domain of AI for agriculture, providing maps of vegetation status for Romanian farmers based on EO data using AI. AI4AGRI will develop administrative and management skills for research and innovation. To achieve these goals, AI4AGRI twinning will enhance the networking activities between partners through a strategy comprising of joint research, short-term staff exchanges, expert visits and short-term training, joint summer schools and workshops, as well as conference attendance, dissemination and outreach activities.

Keywords: artificial intelligence,earth observation,precision agriculture
Accelerating net-zero transformation by advancing Europe’s transport pathways and cross-sectoral synergies (PATH2ZERO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Climate
Destination: Climate sciences and responses for the transformation towards climate neutrality
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Finland,Spain,Greece,Hungary,United Kingdom,Norway,France
Call: Next generation low-emission, climate-resilient pathways and NDCs for a future aligned with the Paris Agreement (HORIZON-CL5-2024-D1-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 4492951.0
EU funding (EUR): 4492951.0
Participants: 12
Project status: SIGNED

Transport's GHG emissions persistently rise, contrasting sectors where interventions have stabilised or reduced emissions. This reflects the complexity of reducing emissions in a sector tied to economic growth, urging advancement beyond high-level models to tailored, accurate, and robust policy impact estimates on transport activity and GHG emissions. Addressing this, PATH2ZERO equips stakeholders with a comprehensive knowledge base for developing, evaluating, and benchmarking net-zero transport pathways, incorporating cross-sectoral assessments and promoting global collaboration. Employing a sophisticated methodology, in the first cycle, it harmonises data and maps, describes, validates, and quantifies EU policy elements, serving as modeling input (introducing "P2Z_DataSyncer" for data alignment and "P2Z_PolicyFrameMapper" for policy visualisation). An advanced model framework forecasts transport sector activity and emissions to 2050, integrating them across other sectors and countries for thorough GHG reduction evaluations including fairness and economic impact (developing "P2Z_Forecaster" for predictive modeling). Benchmarking follows to identify strategic gaps for achieving GHG targets per European and international targets, enhancing policy alignment and scenario comparisons (producing "P2Z_Evaluator" for policy effectiveness evaluation and "P2Z_Benchmarker" for pathway benchmarking). In the second cycle, PATH2ZERO refines national and cross-national policies for stricter policy frameworks, culminating in integrated, benchmarked pathways that inform EU strategies (generating "P2Z_PolicyFrameFinder" for policy framework development and "P2Z_SectoralAdviser" for sector integration). PATH2ZERO's collaborative approach, involving national and international stakeholder co-creation, ensures diverse, feasible and best-practice-informed net-zero pathway development (creating "P2Z_Engager" for stakeholder engagement and "P2Z_Tool" for impact visualization).

Keywords: ghg emissions,transport net zero pathways,data harmonisation,predictive modelling,policy evaluation,benchmarking,cross sector integration,stakeholder engagement,global collaboration
Mucosal Breaks of Bacteria Trigger Pathogenic B-cell Responses in ANCA-associated Vasculitis (Breaking ANCA)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Netherlands,United States
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-01
End date: 2027-04-30
Duration (months): 36.0
Total project cost (EUR): 296296.32
EU funding (EUR): 296296.32
Participants: 2
Project status: SIGNED

ANCA-associated vasculitis (AAV) is a rare and severe autoimmune disease, characterized by inflammation of the small blood vessels. ANCAs, autoantibodies against proteinase-3 (PR3) or myeloperoxidase (MPO), play a central role in the pathogenesis. They induce excessive activation of neutrophils, resulting in necrotizing injury of small vessels. The loss of tolerance in AAV is thought to be the result of genetic, environmental, and ageing factors. Although infectious triggers are implicated, their exact role in the pathogenesis of AAV remains unclear. Previous studies demonstrated that AAV patients with chronic nasal carriage of Staphylococcus aureus or Corynebacterium tuberculostearicum exhibited a higher relapse rate, and eradication treatment reduced relapses. We hypothesize that pathogenic sinonasal mucosal breaks of bacteria activate autoreactive B-cells through molecular mimicry, resulting in autoimmune responses that mediate AAV. This proposal is to investigate the role of sinonasal mucosal breaks in AAV through repertoire sequencing of peripheral blood and tissue B-cells of AAV patients combined with 16S sequencing of the sinonasal bacterial microbiome. Subsequently, representative monoclonal antibodies will be expressed and reactivity towards ANCAs and sinonasal bacterial antigens investigated. Lastly, the findings will be validated by studying serum antibody reactivity in large cohorts of AAV patients. Success of the proposed studies would transform our understanding of the autoimmune responses in AAV, and potentially elucidate a mechanistic role for sinonasal mucosal breaks of bacteria in triggering disease initiation and progression. Further, success could lead to novel therapeutic approaches focused on preventing mucosal breaks and/or clearance of pathogenic strains. Through this fellowship I hope to develop myself into an independent reseacher, expert of AAV and obtain a position as future academic clinician and principal investigator.

Keywords: anca associated vasculitis b cells single cell rna sequencing mucosal breaks of bacteria nasal microbiome molecular mimicry
Holistic seismic risk assessment of deteriorating offshore wind turbines considering global warming (HOTWIND)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 214934.4
EU funding (EUR): 214934.4
Participants: 1
Project status: SIGNED

Aging-affected and deteriorating structural elements negatively influence the load-bearing capacity and fragility of offshore wind turbines (OWTs) under earthquake and environmental loads. Increasing ocean temperature and ocean acidification due to climate change exacerbate these impacts, highlighting the need for careful consideration for OWTs against seismic and environmental loads. On the other hand, the recent installation of OWTs in seismic active areas (e.g., U.S. and Italy) and the use of modern larger turbines that are more vulnerable to earthquakes necessitate seismic reliability analysis of deteriorating OWTs. The overall objective of this research is to develop a loss estimation method for OWTs in a multi-hazard risk modeling framework, by advancing current state-of-the-art practices in performance-based earthquake engineering. Through this Postdoctoral Fellowship (P.F.), my goal is to develop a comprehensive probabilistic framework to assess the fragility and risk of OWTs exposed to multiple hazards including environmental and/or earthquake hazards, aging impacts, and global warming due to climate change. Risk and resilience metrics are estimated in terms of financial (monetary) loss. This goal will be achieved through (1) the development of probabilistic models for time-dependent corrosion deterioration processes considering global warming, (2) environmental (wind and wave) and seismic hazards estimation, (3) OWT’s structural modeling and analysis and development of surrogate models to obtain the structural response, and (4) fragility analysis and consequence modeling through estimation of risk metrics.

Keywords: offshore wind turbines seismic risk and reliability analysis global warming corrosion
Energy-efficient Neuromorphic 2D Devices and Circuits for Edge AI Computing (ENERGIZE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Chips for Europe Initiative
Action type: Research and Innovation actions
Partnership: CHIPS (JU-JTI)
Countries involved: Germany,Italy,Spain,Switzerland,Korea, Republic of
Call: Joint call with Korea (HORIZON-JU-Chips-2024-3-RIA, 2024)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 1499791.25
EU funding (EUR): 1499791.25
Participants: 8
Project status: SIGNED

ENERGIZE aims to implement novel neuromorphic hardware based on two-dimensional (2D) materials for energy efficient artificial intelligence (AI). This technological breakthrough will be sustained on memristive, ferroelectric and floating gate two- and three-terminal devices based on 2D materials. ENERGIZE seeks to enhance the hardware for the implementation of artificial neural networks through chiplet-based multi-core in-memory computing technologies, providing also guidelines for evaluating and benchmarking 2D devices and circuits. ENERGIZE will be conducted by interconnected research integrating partners of Europe and Korea, accelerating the advancement of neuromorphic technology. ENERGIZE will demonstrate: wafer-scale growth of 2D materials for neuromorphic devices, reliable fabrication and characterization processes of two- and three-terminal devices, development of arrays of 2D devices compatible with existing technologies, efficient inference and training of neural networks in crossbar arrays and standardized benchmarking methods for neuromorphic devices and circuits. ENERGIZE offers a promising way to set a new paradigm in low-power edge computing, departing from conventional large energy consumption and high environmental impact von Neumann CMOS AI hardware. ENERGIZE aims to achieve substantial progress in the design, material growth, fabrication, integration, and characterization of neuromorphic devices, arrays, circuits, and systems, which will be key in the future of edge AI computing. We will contribute to guiding an ethically sensitive design by integrating social sciences and humanities by consulting. ENERGIZE will stimulate the emergence of a European – Korean collaborative network for responsible neuromorphic 2D material-based hardware. This integrated approach is a blueprint that will transform societies and economies of the future and will help Europe and Korea to enhance their position in chip technology for AI and machine learning applications.

Keywords: neuromorphic computing,2d materials,2d neuromorphic device,memristor,memtransistor,memristive device,edge computing,artificial neural networks,artificial intelligence,in memory computing