Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
UNITE European Digital Health Valleys (UNITE)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: COFUND actions
Countries involved: Belgium,Denmark,Greece,Italy,Romania,United Kingdom,Finland,Hungary,Spain,Netherlands
Call: Implementing co-funded action plans for connected regional innovation valleys (HORIZON-EIE-2023-CONNECT-03, 2023)
Start date: 2024-09-01
End date: 2028-08-31
Duration (months): 48.0
Total project cost (EUR): 19595983.75
EU funding (EUR): 9797991.86
Participants: 15
Project status: SIGNED

The project partners share a vision of a borderless European digital health innovation ecosystem, deeply rooted in the UNITE regions. A European ecosystem that can tackle the challenges and capture the opportunities of the demographic transitions and the emerging “silver economy” in full. A borderless ecosystem which brings together key stakeholders from a diverse set of regions, from the private sector, the public sector, academia and the civic society. An ecosystem encouraging and enabling entrepreneurship, and pushing the local start-ups to scale up, and importantly an ecosystem that naturally facilitates and opens up new interregional European value chains. The project brings together a wide and diverse group of regional and national ecosystems that reach the borders of European geographical, economic, cultural and care system diversities. A group of regions with a complementing bundle of challenges and aspirations to reach, assets to mobilise and barriers to overcome together. It makes use and builds upon the EIT Digital Strategic Innovation Agenda for Digital Wellbeing, which is directly aligned and supports the regions’ RIS3 and long-term strategies, serving as the basis for the UNITE cofunding commitments and joint activities plan. The partners’ vision to unite the open, borderless, regionally-anchored European digital health innovation ecosystem calls for an UNITEd intervention that: - Connects the fragmented value chains, dispersed ecosystems and pockets of excellence and regional specialisation ambitions; - Fosters the co-learning between the ecosystems and enables growing together; creates strategic and tactical examples of interregional value chains and digital solutions; and - Elevates the nexus of strategies between the regional ecosystems and the global digital health networks and opportunities in long-term.

Keywords: healthcare,wellbeing
Recovering plasma-facing components temperatures in fusion devices from IR camera measurements (MAGRITTE)

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: Slovenia,France
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): 171399.36
EU funding (EUR): 171399.36
Participants: 2
Project status: CLOSED

Infrared (IR) cameras are key diagnostics to monitor and control plasma-facing components (PFCs) in fusion devices. Nevertheless, the use of all-metallic PFCs with low and variable emissivity (ε ~ 0.1-0.5) makes it difficult to obtain a correct surface temperature measurement. The radiance collected by the IR camera includes both the thermal radiation emitted by the target and parasitic radiation coming from the target's surroundings. Furthermore, target emissivity changes with the surface temperature and roughness. This causes significant errors in the surface temperature measurement that we need to address for achieving high power and safe plasma operation. Inaccurate interpretation of IR temperature measurement could endanger machine safety (temperature underestimation) or on the contrary, lead to unnecessary pulse interruptions that reduce the overall performance of the machine (temperature overestimation). The current approach is to convert the radiance collected by each pixel in an apparent using a physical relationship between emitted radiance and temperature (Planck’s law). Because a portion of the collected radiance is due to reflection on the target, a systematic error is made. This method is unable to recover the portion of reflected radiance and to deduce the correct temperature of the target using only the emitted radiance. The proposed technique in this project is to use a digital twin of the machine and to make in it assumptions on the temperatures of the different elements of the machine in order to simulate the images that would be measured under these supposed conditions. By comparing to the real image measured by the camera and using optimization techniques, the assumptions on the parameters can be updated until the simulated and measured images are close enough. It is then deduced that the assumptions made on the parameters of the digital twin are correct and that they correspond to the real temperatures in the machine.

Keywords: fusion,plasma facing components,infrared camera,temperature measurement,inverse methods
Advanced Biopsychosocial Simulation for Harmful Adolescent Behaviour (LIFECOURSE-ABM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Iceland
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-09-01
End date: 2024-02-29
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

We, the LIFECOURSE team, have been developing a theoretical framework that combines biological, social, and psychological data into unified concepts over the past five years. We now have a combined biopsychosocial data framework that can be used to uncover and understand biosocial causal pathways to adolescent behaviour, including self-harm, suicide, substance-use, and delinquancy. To our knowledge, we possess the only linkage of high-quality biological, environmental, and social data across several developmental stages of life to matched longitudinal data (N=4000). In the proposed proof of concept we propose to build a computational infrastructure on this framework, creating a fully digitized toolkit that can benefit from digital automation, communication, and artificial intelligence methods. At the center of this strategy is a new detailed biopsychosocial computer simulation model. This first stage of development – a proof of concept – will already bring our data beyond current capabilities. We see this work as a necessary next step, taking the LIFECOUSE project beyond the state-of-the-art once again, with several fundamental implications and broad industrial, societal, and scientific impact.
new eXplainable models that allow the user to Interact with them to benefit Digital Heritage Image Restoration (XIDHIR)

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: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-07-22
End date: 2026-07-21
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: SIGNED

Digital heritage are computer-based materials of enduring value that should be kept for future generations, for example photographs and videos. As an asset of our times, historical photographs and videos can greatly benefit from digital restoration techniques, from colorization or color enhancement to the removal of scratches or other artefacts. In this project, we focus on two cases for digital heritage restoration: colorization and color image enhancement of old photographs and videos. Historically, image enhancement methods were rooted in tailor-made priors using well-understood physics and/or statistical models. Now, deep learning approaches leverage large amounts of data to train generative models that can hallucinate on the generated images. However, the useful versatility of deep learning approaches faces two main problems: (a) Deep models are black boxes whose inner behaviors are difficult to interpret, which is an important drawback when assessing their reliability, studying failure cases, and improving their robustness. This hinders their direct adoption in the digital heritage restoration process. Thus, explainability is a highly desirable characteristic for image enhancement models. (b) Image enhancement problems are ill-conditioned, especially for digital heritage photos (e.g., there are many plausible colorizations of a grayscale image). Yet, users rarely have a say in the process of enhancement with deep models, which is typically decided by the model based on statistical decisions. Thus, physically plausible or realistic solutions should be favored, as well as allowing the end user to explore and guide the algorithm towards the intended solution. In this project, we propose to confront the ill-posed nature of image enhancement problems by a comprehensive involvement of the user in the loop, shifting the important decision-making from the model to the user. This will lead to results that are user oriented and achieve higher quality.

Keywords: computational color,color image processing,color image enhancement and restoration,colorization,digital heritage restoration,computer vision
Mixed reality ecosystem for teaching robotics in manufacturing (MASTER)

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: Innovation actions
Countries involved: Greece,Spain,Germany
Call: eXtended Reality Learning - Engage and Interact (IA) (HORIZON-CL4-2022-HUMAN-01, 2022)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 8335379.06
EU funding (EUR): 7983840.0
Participants: 8
Project status: SIGNED

Many industries are transitioning to I4.0 production models by adopting robots in their processes. In parallel, XR technologies have reached sufficient maturity to also enter the domain of industrial applications, with early success cases often related to the training of workers, remote assistance, access to contextual information and interaction with digital twins. This project looks at the intersection of both technologies: robots and XR. The use of robots in industry will be increasingly enhanced with XR applications, and workers must be able to understand both technologies and use hybrid solutions confidently. Achieving this is a challenge that education and training programs must meet. The objective of MASTER is to boost the XR ecosystem for teaching and training of robotics in manufacturing by providing an Open XR platform that integrates key functionalities for creating safe robotic environments, programming flexible robotic applications (programming by demonstration in flexible robotic application development) and integrating advanced interaction mechanisms (innovation in gaze-based interaction). MASTER will also deliver rich training content on robotics. MASTER proposes integrating third party contributions through two Open Calls: The first one aims to provide the platform with additional technologies and functionalities. The selected companies will have the opportunity to integrate their technology in the platform and test it with a wide range of end-users. The second Open Call is aimed at the education sector, by offering the possibility to test first-hand the platform and tools to create their own content.

Keywords: extended reality,robotics,virtual environment,manufacturing,teaching and training,workforce upskilling,open platform,financial support to third parties
Descensura: A Comparative Study of Poetry under Censorship in the Iberian Dictatorships (1933-1978) (DESCENSURA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Norway
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1490443.0
EU funding (EUR): 1490443.0
Participants: 1
Project status: SIGNED

In the 20th century, the literary field underwent severe repression and censorship from Salazar’s and Franco’s dictatorships. Despite relevant studies, there is no full account of how these two censoring systems evolved along with common ideology but diverse praxis. Besides, the total number of books forbidden or expurgated during this period is still unknown. This project maps out and systematizes knowledge of book censorship in a comparative way, by contrasting the regimes’ propaganda with writers’ resistance, and by identifying literary works that need to be restored today. Within this large map of censored books, it will examine more closely the case of poetry, as a genre that evaded the censor’s eye. DESCENSURA aims at undoing part of the damage inflicted by the censorial apparatus, thus “decensoring” works and providing a degree of justice. DESCENSURA is foundational research that combines archival and digital methods with literary studies. The project gathers evidence from the legal, secret, and cultural documents that relate to the authors and books marked by censors. It then maps out the networks comprised of author, book, and censor review by digitally emulating these relations in a new database: Censura DB. This database will be the team’s main research tool and the first authoritative resource on Iberian book censorship. The project’s research is divided into four streams: 1) Archives, 2) Ideals, 3) Tactics, and 4) Traces. The traces left by dictatorial regimes are both immaterial and material, pertaining to the control, surveillance, repression, and censorship of writers. Yet the material traces left by censors in the manuscripts, proofs, and books they read can be made visible and relevant. That is this project’s task. It is the first-ever study to map out all the titles censored by the Iberian dictatorships and to investigate the original copies scarred by state agents, thus pioneering knowledge of the legacy of preventive and repressive censorship.

Keywords: contemporary and 20th century literature,contemporary and 20th century iberian poetry,20th century literary censorship,book censorship,portuguese literary censorship,spanish literary censorship
See you online? A phenomenological investigation of the limits of empathy in the online sphere (SYO)

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 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 214934.4
EU funding (EUR): 214934.4
Participants: 1
Project status: CLOSED

According to phenomenologists, empathy is the fundamental way we grasp others as experiencing expressive subjects. It is typically supposed that empathy requires a face-to-face encounter. When we are on Zoom together, instant messaging one another on WhatsApp, looking at Instagram posts or TikTok videos, how do we experience one another? Online do I only have indirect access to others or can I empathetically perceive them? When I wave goodbye to you in person, does my parting “see you online” make any sense? While there is much debate about whether the internet is ‘good’ or ‘bad’ for sociality, such discussions fail to address the question of how we encounter others online in the first place. “See you online? A phenomenological investigation of the limits of empathy in the online sphere” will provide a phenomenological analysis of the structures of our online social experiences and explore the role empathy plays in online sociality. The investigation is underpinned by a novel methodological approach that integrates insights from the phenomenology of sociality and the philosophy of perception. The project will undertake a platform-sensitive analysis that aims to do justice to the complexity and plurality of our technologically mediated intersubjective encounters and produce: (i) a novel theoretical framework for analysing our online social encounters, (ii) a platform-sensitive taxonomy of online interpersonal experiences, and (iii) an analysis of the limits of the phenomenological concept of empathy by considering its application across various online platforms. To achieve the research objectives, the project is divided into three interrelated strands of inquiry: (i) perceiving the lived body online, (ii) sharing space online, and (iii) taking time online. In the shadow of Covid-19, where many of our social practices moved online, the need for a fine-grained, platform-sensitive analysis of online sociality is more pertinent and important than ever.

Keywords: phenomenology online sociality empathy perception social cognition
Smart bioreactor-based platform for the multi-phYsical stimulatioN of Engineered osteochondRal tissues towards functional reGeneratIon and advanced diseasE modelS (SYNERGIES)

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
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-16
End date: 2026-05-15
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 2
Project status: CLOSED

The incidence and socioeconomic burden of osteochondral (OC) diseases are growing worldwide, representing a major challenge for the healthcare systems. Tissue Engineering (TE) emerged as a promising alternative to the current ineffective OC disease treatments. However, state-of-the-art OCTE strategies are still unable to create functional engineered tissues, mainly due to their inability to replicate in vitro the complex physicochemical environment of the native OC tissue within the articular joint, making OC regeneration a critical unmet medical need. The ambitious purpose of the SYNERGIES project is to fill this gap by developing a pioneering smart biomimetic bioreactor-based platform able to culture OC constructs under physiologically and clinically relevant multi-physical stimulations in a controlled and adaptive manner. Cutting-edge in silico modelling and machine learning (ML) tools will be employed for the operational parameters optimization and for the smart automated control of the bioreactor platform, respectively. The SYNERGIES platform will enhance the knowledge of OC tissue mechanobiology beyond the state-of-the-art and guide the improvement of protocols for the production of functional OC substitutes, which will be suitable in vitro models for OC disease research and drug screening, paving the way for new effective therapies. The proposed Fellowship will enable a highly interdisciplinary collaboration between myself, a talented post-doc with a strong track record on biomaterial scaffolds for OCTE, and the supervisors, leading experts on bioreactor engineering and in silico modelling/ML tools. The excellent working conditions at Politecnico di Torino and 7HC will promote my professional development, offering me new scientific expertise and leadership skills, significantly widening my career perspectives. Ultimately, SYNERGIES outcomes will be of remarkable benefit to the European biomedical sector, contributing to EU excellence and quality of life.

Keywords: smart adaptive bioreactor osteochondral regeneration in vitro biomimetic investigation platform multi physical stimuli bone articular cartilage in vitro disease models mesenchymal stem cells
Western Images of the Steppe Empresses. Literary and Film Portraits of Genghisid Women between Fascination and Fear (20th-21st centuries) (WISE)

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: France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 2
Project status: CLOSED

Since the Middle Ages, the name of Genghis Khan has been associated in the West with the idea of the Apocalypse. In accordance with this negative representation, the women who contributed to the rise of his empire have long been described as sinister witches and warriors, indistinguishable from the men of their horde. However, studies carried out starting in the last century, thanks to the opening of Mongolia to the West and the rediscovery of new local sources, have led Western scholars to a profound revaluation of Genghis Khan, now seen as one of the makers of the modern world. This revaluation has also affected our view of Mongol princesses, who enjoyed a freedom and a consideration unknown to their sedentary neighbors. Wise and resilient, they took part like men in war, politics and trade, and could choose whether and with whom to marry. Western Images of the Steppe Empresses (WISE) is the first research in the field of comparative literature aiming to understand whether the new anthropological, archaeological, historical and philological studies carried out by the Mongolists have triggered a change in the perception of Genghisid female royalty in 20th and 21st century Western culture. It analyses their representation in American and Anglophone, Francophone and Italophone European literature and cinema. WISE seeks to understand the cultural reasons for the metamorphosis of the image in question, and whether it is connected to the changed role of women in the West as a result of feminist claims. Moreover, it explores the possibility of an Oriental influence, linked to the steppe culture, on the model of emancipated and combative women prevalent in the West today. The training at Sorbonne Nouvelle University and the École Pratique des Hautes Études will give me the opportunity to deepen my knowledge of Mongolian civilization, and to acquire expertise in Orientalism, gender and film studies, to be added to my existing skills in comparative literature.

Keywords: genghis khan mongolia european literatures orientalism oriental women