Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Understanding the Textual Development and the Literary Fortune of the Book of Jubilees through Ages, Languages and across Geographic Regions (UnderText)

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: Italy,Switzerland
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 297164.16
EU funding (EUR): 297164.16
Participants: 3
Project status: SIGNED

Carefully transmitted by some and deliberately erased by others, at times remembered through the centuries, at others completely forgotten and vanished into the unseen, the Book of Jubilees is a second-century BCE apocryphal Jewish text that retells the legendary foundational stories of the Books of Genesis and Exodus with the addition of otherwise unknown details. "UnderText: UNDERstanding the TEXTual development and the literary fortune of the Book of Jubilees through ages, languages and across geographic regions" will shed new light on the development and fortune of such an important text focusing on a literally invisible version, a Latin translation preserved in the undertext of a fifth-century palimpsest (i.e. not only a manuscript whose ink has been scraped off but a completely new written artefact (re)fashioned through complex production processes) stored at the Ambrosian Library in Milan. This Latin translation has been particularly neglected by scholars but can shed precious light in relation to the Hebrew original and the Ge'ez (the classical language of Ethiopia and Eritrea) translation of the Book of Jubilees. Through palaeographic and codicological analysis and by comparing different translations into multiple languages, the fortunes of the Book of Jubilees in Europe and the history and fate of this Latin palimpsest manuscript will be interwoven throughout the course of the research, and UnderText will shed light on how divergent religious and cultural contexts have reflected variously on common texts and themes. UnderText will also have social and public implications, triggering reflection on the extremely timely ideas of cancel cultures and will highlight the importance of the traditions of the Jewish minority within the European roots and their interactions with Latin language traditions.

Keywords: jewish studies,jewish non canonical literature,ethiopian studies,jewish texts and traditions in christian transmission,late antiquity,early middle ages,early medieval latin language
Next-Generation Natural Language Generation (NG-NLG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Czechia
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-04-01
End date: 2027-03-31
Duration (months): 60.0
Total project cost (EUR): 1420375.0
EU funding (EUR): 1420375.0
Participants: 1
Project status: SIGNED

This project aims to overcome the major hurdles that prevent current state-of-the-art models for natural language generation (NLG) from real-world deployment. While deep learning and neural networks brought considerable progress in many areas of natural language processing, neural approaches to NLG remain confined to experimental use and production NLG systems are handcrafted. The reason for this is that despite the very natural and fluent outputs of recent neural systems, neural NLG still has major drawbacks: (1) the behavior of the systems is not transparent and hard to control (the internal representation is implicit), which leads to incorrect or even harmful outputs, (2) the models require a lot of training data and processing power do not generalize well, and are mostly English-only. On the other hand, handcrafted models are safe, transparent and fast, but produce less fluent outputs and are expensive to adapt to new languages and domains (topics). As a result, usefulness of NLG models in general is limited. In addition, current methods for automatic evaluation of NLG outputs are unreliable, hampering system development. The main aims of this project, directly addressing the above drawbacks, are: 1) Develop new approaches for NLG that combine neural approaches with explicit symbolic semantic representations, thus allowing greater control over the outputs and explicit logical inferences over the data. 2) Introduce approaches to model compression and adaptation to make models easily portable across domains and languages. 3) Develop reliable neural-symbolic approaches for evaluation of NLG systems. We will test our approaches on multiple NLG applications—data-to-text generation (e.g., weather or sports reports), summarization, and dialogue response generation. For example, our approach will make it possible to deploy a new data reporting system for a given domain based on a few dozen example input-output pairs, compared to thousands needed by current methods.

Keywords: natural language generation,natural language processing
Next generation technologies for battery systems in transport electrification based on novel design approach to increase performance and reduce carbon footprint (NEXTBAT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Cross-sectoral solutions for the climate transition
Action type: Research and Innovation actions
Partnership: Batteries (co-programmed)
Countries involved: Finland,Sweden,Spain,France,Germany,Switzerland,Greece
Call: Next generation technologies for High-performance and safe-by-design battery systems for transport and mobile applications (Batteries Partnership) (HORIZON-CL5-2022-D2-01, 2022)
Start date: 2023-06-01
End date: 2026-11-30
Duration (months): 42.0
Total project cost (EUR): 4966937.5
EU funding (EUR): 4966935.0
Participants: 14
Project status: SIGNED

The transport sector represents around 25% of all EU CO2 emissions: to face this challenge, the NEXTBAT consortium, involving 12 partners from 6 different EU countries and 1 Associated Partner from Switzerland, will provide a new framework for standardization of the next generation battery system design that will contribute to speed up a safe and sustainable electrification of transport and mobile applications in the EU, thereby also contributing to meet the EU CO2 reduction target and to reach a climate neutral economy by 2050. NEXBAT will significantly contribute to decrease the carbon footprint of the innovative battery system by decreasing production costs thanks to the high recyclability capacity of both hardware and cells components introduced along the production chain (100% w/w for hardware, 50-80% for cells depending on technology). The experience and expertise of renowned research centres and SMEs will allow the development of innovative safe-by-design battery systems with increased performances, recyclability and interoperability that will reach TRL5 by the end of the project. The electrification of transport and mobile applications requires high-performance and safe battery system. Thanks to the new technologies developed within the NEXTBAT framework, the battery system performances will be enhanced (energy/power density increase by 30 -50%) with decreasing battery weight by 25% using a newly developed lightweight material. Battery management systems will be incorporated at the cell and system unit allowing to increase battery lifetime by 20% at a SoH of 80% at cell level with innovative electronic sensing/actuating systems. Two interoperable prototypes will be manufactured, and safety guidelines and methodologies will be established as a result of safety testing campaigns performed by certified laboratories and the end-users, whereas dismantling and reuse of BMS parts will be assessed along with life cycle analysis.

Keywords: safe by design battery systems,intelligent battery management concepts,manufacturability,artificial intelligence,digital twin strategy,architecture battery system
INcreasing the uptake of AI technology in Retail (INAIR)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Coordination and support actions
Countries involved: Italy,Romania,Poland,Germany,Cyprus
Call: Green and digital skills and training needs for a just transition (CSA) (HORIZON-CL4-2023-HUMAN-01, 2023)
Start date: 2024-01-01
End date: 2026-06-30
Duration (months): 30.0
Total project cost (EUR): 563436.25
EU funding (EUR): 500000.0
Participants: 6
Project status: SIGNED

Technological advancements and changes in consumer behaviours after COVID-19 require retailers to accelerate their digital transformation to deliver differentiated consumer experiences and interactions. Nevertheless, the adoption rate of key digital technologies, such as AI, by MSMEs remains significantly low in the EU (DESI 2022), positioning the Union far from the Digital Decade target of 75%+ European companies adopting AI technologies by 2030. In most of the countries represented in the consortium, the AI adoption rate does not even reach the EU average. The European wholesale and retail trade sector is the 3rd to last in the EU regarding the adoption rate of AI technologies. A lack of a skilled workforce to adopt the integration of AI in retail hinders not only market growth in the EU and represents a significant risk for European SMEs of falling behind their global competitors and missing out on significant opportunities for growth and efficiency, and for making companies greener. In this context, the INAIR project proposal aims to reduce the AI skills gap of European MSMEs in Retail, to let them exploit the potential of AI for greening their businesses, support their competitiveness in the global market and ultimately contribute to reaching the digital decade target of 75%+ European companies adopting AI technologies by 2030. To achieve its aim, over 30 months, the consortium will: -Identify AI skills needs and gaps for MSMEs in retail in CY, DE, IT, PL and RO; -Devise, test and implement a scalable hybrid AI skills development program to re-/up-skill at least 150 owners and employees of MSMEs working in retail; -Develop teaching and training resources to support VET providers in integrating the project resources and tools into their work. Key results: AI Skill Needs & Gaps Analysis in retail; AI Core Curriculum, Skills Assessment Tool and Open Educational Resources for workers and owners of micro, small and medium-sized retailers; eLearning Environment.

Keywords: ai,retail,msmes
Heritage buildings and objects' digitisation & visualisation within the cloud (HERITALISE)

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 the European Cultural Heritage and the Cultural and Creative Industries
Action type: Research and Innovation actions
Countries involved: Spain,Netherlands,Italy,Malta,Belgium,United Kingdom,Cyprus
Call: A European Collaborative Cloud for Cultural Heritage – Innovative tools for digitising cultural heritage objects (HORIZON-CL2-2023-HERITAGE-ECCCH-01, 2023)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 4525006.84
EU funding (EUR): 4196368.71
Participants: 17
Project status: SIGNED

HERITALISE mission is to research and develop advanced digitisation techniques and solutions for documenting and representing diverse CH assets, giving a full comprehension of the diverse CH features, visible and non-visible. In addition, AI-powered tools including Machine Learning (ML) will be developed for improved and optimised data post-processing and integration based on standard and expanded methodologies. All this will be connected through a knowledge graph environment that allows the individual aspects known about the CH object to be related and retrievable. As with Wikipedia, by following links it will be possible to learn more about a particular object, what research has been done, and what results have been derived from it. HERITALISE will provide the upcoming ECCCH with a interoperable web-based Ecosystem, advanced input data from improved digitalisation methodologies and preservation supporting tools, which will be achieved by meeting the following General Objectives (GO) and setting the conditions for a wide-scale replicability and scalability across European CH institutions/organisations across European CH institutions/organisations: GO1: State-of-the-art review of current digitisation standards and methodologies defining the data requirements for CH tangible and intangible objects GO2: Improve 3D/2D Data acquisition methods and technologies GO3: Data post-processing methods and technologies will be adopted, including new AI-powered digitisation methods and the development of data fusion techniques to mix various multimodal digitisation approaches (multisensory, multiscale, multispectral, external and internal) GO4: Development of methodologies and solutions as Hardware (HW) and/or Software (SW) services GO5: Development of ECCCH-compliant open interoperability components enabling connecting and sharing data and modular services in a distributed web-based architecture GO6: Increasing the Impact of current and developing digitisation technologies

Keywords: tomography,laser scanning,photogrametry,vr ar xr,gaming technologies,openapis,hbim,digital twin model,digital twin ecosystem,ct scan 3d printing,home museum concepts
High throughput real-time monitoring and prediction of fruit cracking by utilising and upscaling sensing and digital data technologies (CrackSense)

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: Israel,Germany,Greece,France,Lithuania,Serbia,Belgium
Call: Upscaling (real-time) sensor data for EU-wide monitoring of production and agri-environmental conditions (HORIZON-CL6-2022-GOVERNANCE-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 7499292.49
EU funding (EUR): 7499292.49
Participants: 19
Project status: SIGNED

Fruit cracking is a peel disorder, limiting fruit quality and yield. The phenomenon occurs mainly in the pre-harvest stage and affects many types of fruit. External conditions like climatic and environmental conditions, and orchard management play important roles in increasing the incidence of the phenomenon, this CrackSense will condict reasers in IL, FR, DE, LT, EL. CrackSense aims to address the problem of fruit cracking in citrus, pomegranate, table grapes and sweet cherries by developing and upscaling sensing technologies that will provide real-time sensor data through piloting activities. The sensor data collected will be upscaled into EU-wide data sets which will encompass Earth Observation Data (provided by Copernicus, e.g., Sentinel) and other data sets reflecting on environmental conditions. This data will be used to monitor agricultural production of the studied crops and enable farmers and growers’ efficient management of their resources and sustainability of their actions. By improving the agricultural production of these crops, CrackSense will as well help in creating a model for other agricultural crops. Furthermore, CrackSense will address the critical need for efficient and real-time monitoring of agri-environmental conditions because these conditions have a great influence on agricultural production. By deploying sensing technologies, CrackSense will enable high throughput assessment of cracking incidence risk at fruit, tree, field, and regional scale to mitigate the negative effects of the cracking phenomenon. By reducing 1/2 of the yield losses due to cracking, the use of the Integrated CrackSense Solution will result in 50% higher financial gain for farmers and growers. Integrated CrackSense Solution will enable farmers and growers to optimise their cost efficiency and generate pathways for more income. Fostering complementarities between partners will enable us to fulfil our goals to bring state-of-the-art CrackSense Solution to end users.

Keywords: smart farming,edge computing,prediction models,sdss,risk assessment,fruit orchards,remote sensing,drones,computer vision,machine learning,yield loss
Towards a leading Europe in breakthrough innovation. (WIRE 2022)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Other Widening
Destination: Other Widening
Action type: Coordination and support actions
Countries involved: France
Call: Presidency conferences with a European regional dimension - WIRE (HORIZON-WIDERA-2022-WIRE-IBA, 2022)
Start date: 2022-02-06
End date: 2022-12-05
Duration (months): 10.0
Total project cost (EUR): 454924.33
EU funding (EUR): 250000.0
Participants: 1
Project status: CLOSED

The purpose of this proposal is to support the organisation of the 2022 edition of the Week of Innovative Regions in Europe. The university Paris-Saclay was chosen to manage, organize and host the conference. The general objectives of WIRE are: • To contribute to research, innovation and regional development policies • To better position regional actors in order to enhance policy formation for effective innovative regional development • To contribute effectively to the future of Europe in relationship to integrative policies, European added value and real interregional cooperation and co-investments It will take place the 11-12-13th May 2022, 500 visitors are expected. It will look for greater synergies between the EU and Member State actions focusing on the priorities of the Horizon Europe programme 2021 - 2027, its headline targets, and the European Research Area. The title of the conference is “Towards a leading Europe in breakthrough innovation” Based on the fact that breakthrough innovation is a key strategic element of economic development in Europe, as well as on the international context, the WIRE conference proposes a reflection in two parts: • The first will be an overview of the tools available in Europe for the development of breakthrough innovation, especially those available at regional levels to help local developments., It will include a reflection on the articulation between actions and fundings at regional/national/European levels. • The second one proposes a declination of these tools to enforce the European strategy of becoming leader in breakthrough innovation for all stakeholders at different levels, and more specifically at regional levels. In this context, some key topics will be addressed:innovations with potential breakthrough and disruptive nature in a regional ecosystem, innovations with scale-up potential that may be too risky for private investors, the questions of fundings and also the relevant level: European? National? Regional ?

Keywords: breakthrough innovation regions
Enantioselective Catalytic Hydrogen Atom Abstraction through Nitrogen-centred Transfer - Development and Exploration (EnCHAANT)

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: Chemistry
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

Chemical reactions, broadly speaking, can be mechanistically classified into two distinct types – those in which the electrons move singly and those in which they move in pairs, referred to as ‘radical reactions’ and ‘ionic reactions’ respectively. The remarkable volume of attention now being focused on radical reactions, due to the popularisation of photoredox catalysis, underscores a long-standing challenge within the field of radical chemistry – that of controlling enantioselectivity. This proposal will develop new catalysts that will perform a key mechanistic process in radical chemistry, hydrogen atom transfer, in an enantioselective manner. Specifically it will control asymmetry in the abstraction of hydrogen atoms. The proposal builds on very recent exciting results from the host group and will seek firstly to develop a process for catalytic deracemization and diols and amino alcohols, important chiral building blocks for synthetic chemistry and a range of applications. The second key goal will be to fundamentally modify the chiral scaffold used in the previous work, one that is based on the cinchona alkaloid natural products. Inspired by a recent paper showing DABCOnium salts to be more powerful hydrogen atom abstractors we will synthesise de novo DABCO analogues of the cinhona alkaloids using a route that has been developed, for other purposes, in the host group. The resulting catalysts should dramatically expand the scope of the process and have a large impact in the field of enantioselective radical chemistry. Finally, the combined insights from the main WPs will be used to enable late stage 'stereochemical editing' of complex pharmaceuticals, allowing one enantiomer to be converted to the other at will.

Keywords: photoredox catalysis hydrogen atom transfer enantioselective catalysis oxidation radical chemistry