Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Holistically Optimised Logistics Operations and Green Innovative Solutions for Transport Cargo Sustainably (HOLOGISTICS)

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,United Kingdom,Belgium,Estonia,Latvia,Greece,Norway,Portugal,Slovenia,Germany,Finland,Netherlands,Switzerland,France
Call: Scaling up logistics innovations supporting freight transport decarbonisation in an affordable way (HORIZON-CL5-2024-D6-01, 2024)
Start date: 2025-07-01
End date: 2028-12-31
Duration (months): 42.0
Total project cost (EUR): 13119560.0
EU funding (EUR): 9883723.25
Participants: 26
Project status: SIGNED

HOLGISTICS will pilot and demonstrate innovative open standard logistics solutions and technologies which accelerate freight transport decarbonisation while increasing operational efficiency and flexibility, ensuring logistics networks are cost effective and competitive, taking account of externalities. The project will scale up collaborative solutions for multimodal logistics nodes and networks, enhancing digital and physical interoperability, supported by effective business and governance models, and facilitating increased use of zero emission vehicles and vessels. This will lead to major reductions in GHG emissions in the logistics networks, supporting the 2030 Climate Target Plan to reduce emissions by 55%. Logistics supply chain performance will be further improved via a Physical Internet approach, synchromodality and models which drive pooling, resource sharing and optimisation of capacity utilisation across modes. A wide range of processes, procedures and services in multiple logistics nodes and operations across Europe will be implemented, enhancing innovations and technologies developed in previous Horizon projects, and magnifying the benefits of ongoing CEF investments. These include: AI, IoT, synchromodal logistics algorithms, interoperability using shared standardised boxes/containers, automation and autonomous systems, new business models and solutions for increased use of zero emission transport, semantic models for collaborative data sharing, Digital Twins, advanced simulation and visualisation solutions, resource sharing and pooled logistics models and innovative inventory strategies that enable increased use of greener transport. Open access definition and seamless interaction will be prioritised, enabling all players including SMEs to participate, exploiting the DTLF data sharing framework to ensure scalability and compliance with the ongoing development of the common European mobility data space and achieving TRL 7 by the end of the project.

Keywords: decarbonisation,physical internet,synchromodality,multimodality,zero emission freight transport
BUILDING SCALABLE PATHOGEN GENOMIC EPIDEMIOLOGY FOR ETHIOPIA (EpiGen Ethiopia)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Research and Innovation actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: Netherlands,Germany,Spain,Ethiopia
Call: Genomic epidemiology for surveillance and control of poverty-related and emerging/re-emerging infections in sub-Saharan Africa (HORIZON-JU-GH-EDCTP3-2022-01, 2022)
Start date: 2023-06-01
End date: 2028-05-31
Duration (months): 60.0
Total project cost (EUR): 5499097.5
EU funding (EUR): 5499097.5
Participants: 12
Project status: SIGNED

The 21st century witnesses increased incidence of epidemics (Zika, dengue, Ebola, SARS), with as latest highlight the recent COVID-19. Following the outbreak of several infectious diseases during the last few decade, the need for generating real-time pathogen genomic data for public health action has become more important than ever. In the African context, infrastructure, human resource capability, data analysis, including bioinformatics, lack of linkage between clinical, epidemiological, and pathogen genomic data as well the interaction between clinicians, researchers and decision makers are some of the major challenges. The aim of the EpiGen project is to build a capacity for integrated pathogen genomic surveillance for informed public health decision process. The overarching specific objectives include strengthening collection and analysis of clinical and epidemiological data, enhancing the capacity and capability for pathogen genomic sequencing, including strengthening the laboratory infrastructure, human work force, pathogen genomic data analysis, and the integration of metadata with genomic data, developing and implementing innovative digital diagnostic platforms, creating semi-real time mobile phone applications for policy decisions, and promoting communities of practice and knowledge exchange through fostering African collaboration and networking in the domain of pathogen genomic surveillance for infectious diseases. EpiGen project’s multi-disciplinary consortium is drawn from several institutions from Ethiopia engaged in National Public Health Programs, and EU partners (The Netherlands, Spain and Germany). Overall, the model approach proposed by EpiGen will enhance Ethiopia’s national effort in mitigating the threat of infectious diseases. The implementation of a national genomic-informed surveillance for infectious diseases will play significant public health role towards contributing to disease prevention and control programmes in Ethiopia and beyond.

Keywords: pathogen genomic sequencing,public health,surveillance,epidemiology,infectious diseases,emerging emerging re emerging,africa,edctp3
An INClUsive toolBox for accElerating and smartening deep renovation (InCUBE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Efficient, sustainable and inclusive energy use
Action type: Innovation actions
Countries involved: Greece,Italy,Spain,France,Netherlands,Belgium,Poland
Call: Industrialisation of deep renovation workflows for energy-efficient buildings (HORIZON-CL5-2021-D4-01, 2021)
Start date: 2022-07-01
End date: 2027-06-30
Duration (months): 60.0
Total project cost (EUR): 9955817.99
EU funding (EUR): 7995809.35
Participants: 26
Project status: SIGNED

InCUBE brings together 23 high-profile partners and two affiliated entities from 7 European countries, envisioning to unlock the EU renovation wave through cutting-edge standardized, lean integrated processes based on 4 key pillars of innovation: 1) Industrialization: Off-site manufactured solutions including the use of robots (e.g., demolition, telescopic cranes, drilling and waste sorting), so far applied only in industrial environments, offering novel services (e.g., anti-collision, area boundary, waste tracking); 2) Novel self-RES power producing and storage technologies, products and environmentally friendly materials (e.g. low GWP-refrigerant heat pumps); 3) Digitalization: Dynamic Digital Twins of both products and buildings, utilizing immersive capturing techniques (e.g., Laser 3D scanners and Drones), digitally merging innovative manufacturing processes with BIMs, and; 4) New market entrants, organized under novel business models, to allow for increased levels of collaboration and productivity. The InCUBE Suite, integrates digital tools across all 4 pillars, enables for seamless coordination of different renovation phases while leveraging data streaming from multiple interoperable sources to accommodate tenants’ comfort and render buildings active energy nodes in the synergetic energy networks paradigm of the future. Solutions will be validated in 3 large-scale demo sites (19,100 m2, >600 residents) in 3 countries (IT, ES, NL), including a cultural heritage building. Key expected outcomes include among others: Reduction of waste streams and time needed on-site by >35%, renovation cost reduction by >30%, reduction of working time with hazardous activities by >50%, energy savings >6GWh/y (78%), GHG reductions >1,980 tCO2eq/y, achieving an energy performance gap between as-built and as-designed <20%, and creation of 2 RECs encompassing >2,000 users; all while accounting for social inclusion, upskilling and enhancement of women’s role in the construction industry.

Keywords: off site manufacturing,digital twins,digital logbook,robotic systems,smart readiness,lean construction,upskilling workforce,social inclusiveness,user comfort,renewable energy communities
Evaluating and Programming Intelligent Chatbots for Any Language (EPICAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 2498200.0
EU funding (EUR): 2498200.0
Participants: 1
Project status: SIGNED

Intelligent chatbots (ICs) such as ChatGPT have revolutionized the generation of content for a few languages such as English, but there are 7099 currently spoken languages in the world. EPICAL will, for the first time, determine how to add new low resource languages (LRLs) to ICs. We will make six advances to revolutionize the capabilities of ICs, unifying different areas of research that are incorrectly studied separately. We will: 1) determine how to generate hallucination-free text using ICs, and how to enter a virtuous cycle where LRL text is created using cross-lingual knowledge from ICs and then quickly post-edited and trained upon, resulting in a better LRL representation in the IC. 2) develop more powerful encoding and language adaptation approaches which combine the benefits of fine-tuning and adapters, taking full advantage of linguistically related languages to model LRLs. 3) enable ICs to reason about their own LRL capabilities and determine what they know and do not know. 4) unify research on machine translation and ICs to obtain ICs which can translate to LRLs with state-of-the-art accuracy. 5) enable high quality text-to-speech and automatic speech recognition of LRLs with ICs, thereby unifying the research on low resource speech processing with research on LRL text processing. 6) develop a novel evaluation methodology including a robust method for automatically measuring fact hallucination. My research group is well-known for LRL research, which differs from large commercial labs focusing only on the top 200 languages. Our work is critical for a multilingual Europe which values the role of minority languages, culture and heritage. Our innovations will benefit natural language processing beyond text generation and machine translation and strongly impact other areas of machine learning research suffering from data bottlenecks.

Keywords: intelligent chatbots,large language models,machine translation,natural language processing
Reality-Connected Machine Simulation of Heavy Machinery (RealSim)

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: Norway
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 226751.04
EU funding (EUR): 226751.04
Participants: 1
Project status: SIGNED

The RealSim project proposal aims to connect machine simulation to reality in the framework of heavy machinery, which is an interdisciplinary application. The results of this project are expected to optimize machine performance, accurately and reliably predict machine failure, and reduce overall development and operation costs, thus, serving the Europe’s priority of green transformation and the United Nation’s sustainable development goal 9. The RealSim project will close the gaps of: (1) Onboard estimations of force and pressure components of heavy machinery; (2) Estimating deformability, cylinder friction, leakage, and valve dynamics of heavy machinery using independent nonlinear Kalman filters; (3) Employing dependent nonlinear Kalman filters in state estimators of heavy machinery; (4) Tuning algorithms for the covariance matrix of plant noise in the state estimation of heavy machinery. I will consolidate and leverage my research career and position as a leading researcher in the field through integration in Assoc. Prof. Mohammad Poursina’s group at the Department of Engineering Sciences of the University of Agder (UiA), Norway. Here, I will acquire hands-on experience of working with actual mechatronic systems and develop efficient control algorithms. I will improve my knowledge of fluid power designing, control theory, instrumentation, and develop efficient coding skills. I will also develop entrepreneurial skills. The skills, knowledge, and international network that I will develop during this fellowship will put me in an excellent position to achieve my long-term goal of becoming a professor with my own independent research group at an esteemed university in EU. This fellowship will help me to prepare a strong ERC Starting Grant application in the future. It will also cater my additional goal of setting-up a research-related start-up in the future.

Keywords: multibody dynamics,real time simulation,state estimator observers,nonlinear kalman filters,mechatronic systems
Promoting Green Nudging for Sustainable Agriculture and Forestry (PRUDENT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Innovative governance, environmental observations and digital solutions in support of the Green Deal
Action type: Research and Innovation actions
Countries involved: Greece,Italy,Belgium,Serbia,Finland,Lithuania
Call: Towards CAP post 2027: evidence on nudging farmers to leverage more sustainable practices and behaviours (HORIZON-CL6-2023-GOVERNANCE-01, 2023)
Start date: 2024-03-01
End date: 2028-02-29
Duration (months): 48.0
Total project cost (EUR): 2997568.75
EU funding (EUR): 2997568.75
Participants: 15
Project status: SIGNED

PRUDENT aspires to change the way agriculture and forestry systems currently operate and to accelerate the transition to sustainable agriculture and forestry practices and smart farming technologies. The project will identify and evaluate the most effective green nudges, in the context of appropriate behavioural and experimental settings, that can enable farmer/forester behavioural change to more sustainable agriculture and forestry. Nudges will be also tested in natural contexts to evaluate the interactive effect of nudges with actual policy changes in the transition to sustainability. Innovative nudging tools, in the form of web/mobile apps, will be employed to boost farmer/forester self-regulatory capacity and enhance the durability of nudging effects. Four different systems, representing major farming and forestry systems in Europe (arable crops [wheat], perennial crops [grapevines, apples, olives], livestock [bovines] and forests [boreal forests]) in various EU regions (Northern, Southern, and Central Europe) will be studied to account for the heterogeneity of farming/forestry systems and contexts in the EU. The behavioural insights are used to develop transformative pathways, via social innovations, business models and policy recommendations, to encourage transition to fair, healthy and environmentally-friendly agriculture and forestry systems. PRUDENT will provide a set of social innovations and business models establishing roadmaps for a shift towards sustainable agriculture and forestry and will develop a series of policy recommendations and tools to foster behaviourally informed policy design and implementation. Throughout the project's lifespan, multiple value chain actors, at various levels of society, will actively participate in co-creation activities to establish a mutual understanding of the benefits and bottlenecks of the value chain, as well as effective transformation pathways to change.

Keywords: green nudges,behavioural change,sustainable agriculture,sustainable forestry,experiments,cap
Sensing of cytoplasmic double-stranded RNA in plants (PLARNASENS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Denmark
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2025-08-01
End date: 2030-07-31
Duration (months): 60.0
Total project cost (EUR): 2475596.0
EU funding (EUR): 2475596.0
Participants: 1
Project status: SIGNED

Elimination of foreign nucleic acids is key to host survival and reproduction. Long double-stranded RNA (dsRNA) in the cytoplasm is used to distinguish viral from host genetic material, and several metazoan dsRNA receptors elicit innate immune responses upon binding to dsRNA. Plants are thought to rely exclusively on RNA interference (RNAi) to eliminate RNA with double-stranded features. Two DICER-LIKE (DCL) enzymes, DCL4 and DCL2, act redundantly to cleave dsRNA into small interfering RNAs that in turn program RNA Induced Silencing Complexes to silence viral RNA using base pairing as specificity determinant. Our recent work shows that this view of plant innate antiviral immunity is incomplete. DCL4 has a dedicated role in RNAi, while DCL2 also mediates dsRNA sensing when DCL4-mediated RNAi has been defeated by viral anti-RNAi factors. dsRNA cleavage by DCL2 leads to activation of at least two nucleotide-binding leucine-rich repeat (NLR) intracellular immune receptors that act in series, not in parallel, to initiate signalling that ultimately establishes an immune state. This proposal launches unbiased screening approaches and tests specific hypotheses to answer four questions on this recently discovered plant dsRNA sensing pathway. (1) What is the nature of the molecular entity produced by DCL2 that is recognized by the sensor NLR? (2) How is activation of the sensor NLR linked to activation of the downstream signaling NLR? (3) Does DCL4-mediated RNAi and DCL2-mediated sensing occur in the same or in distinct cells, and where in the cell does DCL2-mediated dsRNA sensing occur? (4) How do viruses circumvent innate immune activation via DCL2-mediated dsRNA sensing? Answers to these questions represent a leap forward in our understanding of plant-virus interactions, with substantial impact in agrotechnology. The answers also deliver broad conceptual advances on how RNAi components are linked to immune signalling, and how NLR signalling operates molecularly.

Keywords: plant innate immunity,rna interference
Interdisciplinary and intersectoral doctoral training programme at the Technische Universität Darmstadt in Life Science Engineering (trainLSE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Germany,Netherlands,Italy,United States,Argentina,United Kingdom,Switzerland,Sweden,France
Call: MSCA COFUND 2022 (HORIZON-MSCA-2022-COFUND-01, 2022)
Start date: 2024-04-01
End date: 2029-03-31
Duration (months): 60.0
Total project cost (EUR): 2016000.0
EU funding (EUR): 2016000.0
Participants: 21
Project status: SIGNED

The presented programme "trainLSE: Interdisciplinary and intersectoral doctoral training programme at the Technische Universität Darmstadt in Life Science Engineering" will lead 15 doctoral candidates (DCs) to their PhD degree within 48 months within the framework of a 60-month MSCA-COFUND action. The doctoral candidates will carry out a research project in the field of life science engineering in one of the excellent working groups with experienced supervisors. In addition, they will complete a comprehensive training programme for the development of transferable skills and scientific communication. TrainLSE aims to establish interdisciplinary research and training of excellent international DCs at the interface between engineering and life sciences. Experienced PIs will offer positions in molecular biology, chemistry, synthetic biology, materials science, (bio)computer science, physics and mechanical engineering. The DCs will be able to uniquely combine expertise from engineering with life sciences and acquire a new constructive, engineering mindset towards biology. These profiles will be in high demand in academia and industry, and will be crucial for the EU's transformation towards a sustainable, climate-compatible economy. TrainLSE will be embedded in the organisation structure of the Graduate School of Life Science Engineering and will be supported by a network of ten associated international academic partners (e.g. ETH Zürich, University of Cambridge, Uppsala University) and ten non-academic partners (Merck Healthcare, BASF, GSI Helmholtzzentrum für Schwerionenforschung, Institut Pasteur among others) who contribute with secondments and participation in lectures or courses to the education of the DCs. Thus, in addition to the unique interdisciplinary scientific training, the DCs will conduct research in an international, intersectoral environment and prepare their future careers in academia or the non-academic sector.

Keywords: doctoral training programme,life science engineering,intersectoral,international,interdisciplinary