Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Antibiotics of the future: are they prone to bacterial resistance? (FutureAntibiotics)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: Hungary
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-07-01
End date: 2029-06-30
Duration (months): 60.0
Total project cost (EUR): 3479716.0
EU funding (EUR): 3479716.0
Participants: 1
Project status: SIGNED

Although several new antibiotic candidates are in the clinical pipeline, the future evolution of resistance in bacteria may render them ineffective. This project aims to develop a framework for forecasting the long-term effectiveness of new antibiotic candidates. For this purpose, we will decipher the general principles shaping bacterial resistance to a wide range of antibiotic candidates currently in development. Using recently developed methods in our laboratory, we will study resistance evolution in bacterial ESKAPE pathogens at unprecedented resolution and address four specific aims. First, we explore the shared features of antibiotics with limited susceptibility to resistance. Second, we systematically map species-specific differences in resistance evolution with implications on narrow-spectrum antibacterial therapies that could remain effective. Third, we assess the clinical risks associated with resistance by studying the global biogeography and habitat-specificity of resistant bacteria. Finally, we systematically explore the potential links between resistance evolution and increased bacterial virulence. The outcomes will provide guidelines for future antibiotic use, aid in genomic surveillance of resistance genes, and facilitate the design of antibiotics with reduced susceptibility to resistance.

Keywords: antibiotic resistance,functional metagenomics
Wasserstein FLOW Learning for multi-Omics (WOLF)

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: France
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Single cell molecular profiling allows to map cellular development at an unprecedented level of detail. Optimal transport (OT) enables the analysis of this dynamical process as a trajectory inference problem, using OT flows. These flows treat cells as particles evolving on an energy landscape over an "omics'' space (such as transcriptomic, epigenomic, proteomic and location). Learning this model from large scale omics datasets poses however formidable mathematical and computational challenges, which will be tackled by WOLF. The first one is the joint learning of both the gene embedding space and the energy landscape. Existing approaches use ad-hoc Euclidean embeddings, ignoring biological relationships between genes. WOLF will develop a new type of non-Euclidean OT flows, which takes into account complex genetic relations. The second challenge is the fusion of multiple omics dataset (for instance transcriptomics, proteomic and space) without having access to an explicit pairing between the cells across the omics. Multi-omics is the next frontier in developmental analysis, and the corresponding trajectories cannot be captured with existing OT flows. WOLF will develop a new class of multi-linear OT flows where interaction terms couple particles together across different omics. These advances will be integrated in an efficient computational package where the parameters of the models are learned using parallelizable OT flow solvers. Leveraging the connexion between OT flows and attention mechanisms in deep learning, these methods will be approximated using transformers architectures and optimized using implicit differentiation. These theoretical and numerical contributions will work hand in hand to offer the first comprehensive framework for multi-omics trajectory inference. This will unlock biological findings for the characterization of developmental molecular pathways and the understanding of disease mechanisms.

Keywords: optimal transport,deep learning,transformers,genomics,trajectory inference
Wafer-scale platform for Photonic Programmable Multipurpose Integrated Circuits (PHORMICA)

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: Research and Innovation actions
Countries involved: Belgium,Latvia
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 42.0
Total project cost (EUR): 599946.25
EU funding (EUR): 599946.25
Participants: 2
Project status: SIGNED

PHORMIC establishes a European platform for next-generation programmable photonic chips with a low adoption threshold for product developers in diverse application domains. The PHORMIC platform consists of three tiers. The first tier is a 200 mm wafer-scale fabrication flow that augments an established world-class silicon photonics platform with transfer-printed III-V optical amplifiers and compact low-power MEMS actuators. The devices are encapsulated in wafer-scale hermetically sealed cavities that will also be used for on-chip gas cells to calibrate the tunable lasers built in PHORMIC. The combination of high-speed silicon photonics, broadband optical gain and low-power MEMS tuners is a true enabler for new applications. The process flow will be supported by a design kit for building complex photonic circuits. The second tier supplements the photonic chips with modular packaging processes and driver electronics (including highspeed drivers), and the packaging and connectivity logic are integrated in the design kit. This provides a low-threshold entry point for building complex photonic chip-based systems with active control and programmability. The third tier builds on this to create a multipurpose programmable photonic processor, which can control the flow of light in an analogue way through a software interface. This chip, together with its electronics and programming framework, forms a true “photonics development kit”. This enables an off-the-shelf use model like that of electronic FPGAs, reducing prototyping time for new concepts from >1 year to weeks. The PHORMIC consortium has all expertise to establish a full supply chain, including a migration path to a European industrial 200 mm foundry. The application potential of the three tiers of the platform is validated through three demonstrators, in datacenter communication, sensing and mm-wave wireless beamforming. For each case, a customdesigned chip will be compared to the multipurpose photonic processor.

Keywords: photonic integration,photonic integrated circuits
Birth of the Marimacho: Modernismo’s Trans* Cultural Productions in Latin America (Trans Modernismo)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

Birth of the Marimacho: Modernismo’s Trans* Cultural Productions in Latin America analyzes the emergence of a new gender expression in early-twentieth-century Latin American literature, science, and visual culture: the ‹‹marimacho››. In the Hispanic tradition, marimacho is the umbrella notion that may refer to a sexist slur as much as a modern form of non-binary gender, a transmasculine identification, or a lesbian identity. This project examines the aesthetic construction of this hybrid, counter-cultural, and gender-dissident figure in an extensive cultural repertoire that includes novels, plays, films, leaflets, medical studies, prison and mental hospital records, poems, and newspaper and tabloid articles. I seek to increase the understanding of the region’s politics of gender and sexuality during the modernizing era (1880s-1930s), that is, before the solidification of LGBTQ activism, pride literature, and minority social movements of the Global 1960s. In response to the new gender dynamics led by cosmopolitan networks of first-wave feminism, the keepers of gender normativity created the marimacho as a monstrous version of conventional masculinity. The main objective of this research is to investigate why a broad range of cultural materials named queer women, non-binary individuals, and trans* men as marimachos, as gender hackers that put at stake the futures of heteronormativity, reproduction, and family life.

Keywords: nineteenth century studies,sexuality studies,transgender studies,lgbtq memory,medical humanities,orientalism,masculinity,history of sexology,queer popular culture,fin de si cle studies
Pragmatic approach to Adoptive Cell Therapy (ACT) using Tumor Infiltrating Lymphocytes (TIL) in selected solid tumors (PragmaTIL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Cancer
Destination: Cancer
Action type: Research and Innovation actions
Countries involved: Spain,Netherlands,Denmark,Sweden,Israel,France
Call: Pragmatic clinical trials to optimise treatments for patients with refractory cancers (HORIZON-MISS-2022-CANCER-01, 2022)
Start date: 2023-04-01
End date: 2028-03-31
Duration (months): 60.0
Total project cost (EUR): 5998839.75
EU funding (EUR): 5998839.75
Participants: 13
Project status: SIGNED

The PragmaTIL trial aims to optimize treatment of cancer patients with Tumour-Infiltrating Lymphocytes Adoptive Cell Therapy (TIL-ACT) and substantially expand and improve the clinical implementation of this treatment modality in academic hospitals. To this end, treatment related toxicities, associated to high-dose interleukin 2 (HD-IL-2) required for expansion and activation of TILs will be reduced while maintaining efficacy. This improved tolerability will achieve a better clinical management of patients and enhance their quality of life, both of which represent major barriers for applying this treatment. The objectives of PragmaTIL are: i) To determine whether TIL-ACT using IL-2 analog ANV419 reduces the frequency of Grade 2-4 study-related non-hematological toxicities; ii) To compare the quality of life (QoL) of patients during their hospitalization period, using ANV419 vs HD-IL-2. Also, to compare short and long-term measurements of treatment-related toxicities and QoL co-defined by and for patients and their caregivers; and iii) To develop the health technology assessment (HTA) of TIL-ACT using ANV419, as well as a social return of investment (SROI) analysis. To achieve these objectives, the PragmaTIL project is structured into 6 WP that cover all the requirements to implement the project: WP1) Clinical Trial; WP2) IMPD Coordination, RA and Pharmacovigilance; WP3) Patients as co-researchers and Evaluation of Short- and Long-term PROs; WP4) Health Economics; WP5) SROI, Sustainability and Exploitation; WP6) Scientific Coordination, Project Management, Communication and Dissemination. The global impact of this project will not only reach patients, clinical and translational researchers and policy makers but may help to achieve a better acceptance of these therapies by society at large. This action is part of the Cancer Mission cluster of projects on "Diagnosis and treatment".

Keywords: oncology,cellular therapies,til act,toxicity,participatory research,pro
Miniaturized LIDAR for MARS Atmospheric Research (MiLi)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Space
Destination: Open Strategic Autonomy in Developing, Deploying and Using Global Space-Based Infrastructures, Services, Applications and Data
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Canada,Germany,Lithuania
Call: Space science and exploration technologies (HORIZON-CL4-2022-SPACE-01, 2022)
Start date: 2022-12-01
End date: 2025-10-31
Duration (months): 35.0
Total project cost (EUR): 1587257.5
EU funding (EUR): 1587257.5
Participants: 6
Project status: SIGNED

Studying the climate on Mars has been a topic for scientific curiosity since long time already. As on Earth, the composition of the Martian atmosphere is a key factor for understanding the climate, which is of vital importance to enable future human exploration of the red planet. The use of Atmospheric LIDAR to characterize densities and sizes of aerosol with a height profile, is commonly used on Earth. However Earth instruments are heavy and with high power consumptions, which make them not easily on-boardables for planetary exploration. MiLi proposes to higher the TRL of 3 basic technologies to enable the construction of a lighter and less power miniaturized LIDAR for Mars atmospheric research.

Keywords: lidar,mars,atmosphere,aerosol,dust,ice water,clouds,si pmt,athermalized,free form optics,laser
NEutral Data host for UNcrewed Avitation (NEDUNA)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Austria
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2024-04-01
End date: 2026-06-30
Duration (months): 27.0
Total project cost (EUR): 3476207.5
EU funding (EUR): 2433345.25
Participants: 1
Project status: SIGNED

NEDUNA provides holistic and dynamic data about airspace connectivity and ground risk for uncrewed/unmanned aviation. This is a must have requirement to enable automated BVLOS (beyond-visual-line-of-sight) drone operations and hence for the drone business at scale. Drones will revolutionize a wide range of industry verticals, including all kinds of automated inspections, first responder services, agricultural services, delivery & logistics operations, media & entertainment, all the way to drone taxis! A market that is expected to exceed €100bn in annual revenue in 2028. But in order to make that a reality at scale, unrestricted and automated BVLOS drone operations are needed, which is not the case today. However, to make automate BVLOS drone operations at scale a reality, it is a critical regulatory requirement to have evidence of safety critical data: a) Where in the airspace there is sufficient connectivity to safely operate a drone (which is a must have requirement for remotely controlled aircraft) and b) have a holistic understanding about the ground risk, i.e., how many people are on the ground along a flight path. This is where NEDUNA comes in. It provides all the needed information in an aggregated manner, through a single interface, from a single location, via a single contract. This is the reason why key stakeholders in the value chain are expressing high interest and have already provided their Letters of Interest, including: EASA, Civil Aviation Authorities (such as AustroControl), ANSPs and Approval Authorities (such as AVINOR), ATM/UTM system providers (such as FREQUENTIS), Drone Operators (such as SmartDigital) and telecom providers (such as T-Mobile). NEDUNA is to airspace connectivity data what iTunes is to the digital music industry. Hence, NEDUNA is a game changer for providing the necessary data to fully automate BVLOS drone operations and unleash a multi billion Euro business.

Keywords: innovation,automated bvlos drone operation,telecom data,unified airspace,drones
Metallic phase change material-composites for Thermal Energy management (M-TES)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Italy,Poland,Germany
Call: EIC Pathfinder Challenge: Mid to long term and systems integrated energy storage (HORIZON-EIC-2022-PATHFINDERCHALLENGES-01, 2022)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 2349016.25
EU funding (EUR): 2347916.25
Participants: 4
Project status: SIGNED

Thermal Energy Storage (TES) systems can give strategic contribution to efficiency and flexibility of intermittent power sources of various nature, but their temporal modulation up to long charge-discharge cycles passes through proper tuning of thermal properties of the materials exchanging heat with fluids in TES systems. M-TES project proposes an innovative approach to manufacture by a low-cost one step process, granules of composite metallic Phase Change Materials, m-PCMs. They can be tailored in term of enthalpy-temperature relationships and heat transfer properties to meet the material requirement for flexible TES systems. The 3-year M-TES project will be focused on immiscible alloy systems based on recycled Al-Si casting alloys and Sn, with no need of Critical Raw Material, adding a new option for re-use and recycle them. M-TES project will: (I) identify thermophysical requirements for m-PCMs service, (II) study alloys surface and wetting properties to support the (III) study of suitable process conditions, (iv) obtain thermal/mechanical granule properties. A grained system will be tested as proof-of-concept, and (VI) its mechanical and heat transfer potential will be modeled to support further development, toward higher TRL and other alloys. The multidisciplinary project objectives will be accomplished thanks to the knowledge/equipment complementarity of partners: POLIMI, CNR, KIT, OVGU. They will work in strict interaction within and between WPs. The young researchers hired for the project will be forged to curious multidisciplinary and deep understanding. M-TES dissemination plan will spread results preferring open activities, starting from scientific papers/conferences, widening to open science events for technicians/PhD students, up to the general public.
Critical Action Planning over Extreme-Scale Data (CREXDATA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: Greece,Germany,Spain,Italy,Finland,Austria
Call: Methods for exploiting data and knowledge for extremely precise outcomes (analysis, prediction, decision support), reducing complexity and presenting insights in understandable way (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 8698104.75
EU funding (EUR): 8698104.75
Participants: 16
Project status: SIGNED

The vision of CREXDATA is to develop a generic platform for real-time critical situation management including flexible action planning and agile decision making over streaming data of extreme scale and complexity. CREXDATA develops the algorithmic apparatus, software architectures and tools for federated predictive analytics and forecasting under uncertainty. The envisioned framework boosts proactive decision making providing highly accurate and transparent short- and long-term forecasts, explainable via advanced visual analytics and accurate, real-time, augmented reality facilities. To achieve its vision, CREXDATA will develop a next generation Prediction-as-a-Service (PaaS) system where action planners will easily register their multimodal data stream sources and compute resource federations and graphically design predictive analytics workflows including (i) data ingestion, fusion, (ii) simulation, (iii) federated learning for pattern extraction and (iv) multiresolution forecasting operators. Decision makers will receive back extremely precise forecasted representations of future worlds reasoned about using transparent AI facilities and with reduced complexity via visual analytics and intuitive augmented reality provided on-site or remotely. The CREXDATA architecture incorporates 10 exploitable assets based on cutting edge research, which will significantly outperform the current state of practice in respective fields. CREXDATA will be evaluated in three use cases where real-time critical action planning and timely decision making are of utmost importance: i) maritime domain, for forecasting hazardous situations at sea and impose safer navigational routes, ii) weather emergency management, to allow authorities and first responders proactively act so as to avoid or reduce the impact and speed up recovery from natural disasters, and iii) health crisis management, to limit pandemic outbreaks and come up with non-pharmaceutical means of patient treatment.

Keywords: explainable ai,federated learning,multi resolution complex event forecasting,augmented reality,multilinguality,visual analytics,analytics as a service
EO4FoodSecurity: Using Earth Observation Enabled Land Cover Classification for Characterizing Global Food Security on Regional Scales (EO4FoodSecurity)

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: Germany
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-07-01
End date: 2025-09-30
Duration (months): 27.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Characterizing the state of global food security is essential in devising and evaluating policies and programs for effective decision making. The concept of food security is multidimensional and dynamic and is often compounded by the challenge of obtaining relevant data. Moreover, finding appropriate indicators that specifically encompass the four dimensions of food security (including physical availability of food, economic and physical access to food, food utilization, and sustainability) as specified by UN FAO remains a challenging task. There exist variety of different measures for assessing the food security situation, but they merely focus on nutrition and physical aspects and thus provide incomplete assessments related to the problem. In this PoC project, I aim to extend the unique AI algorithms and the big EO data management features developed in the ERC StG “So2Sat” to characterize the state of global food security on regional scales using multimodal data derived from satellite imagery and auxiliary open data, and offer our software as a commercial, integrated service. Within the PoC, a comprehensive business case that will assist us in designing an exploitation strategy will be developed. Achieving these objectives will augment the capability of our existing AI solution for land cover/land use mapping to infer the crucial aspects of food security and sustainability. Our value proposition in EO4FoodSecurity is a set of professional solutions to extract relevant indicators for characterizing food security by retrieving them from big EO data and other open sources using AI. E.g., generating land use map and using it along with other information extraction modules of So2Sat (such as population density, road and building footprints) and other open data (e.g., meteorological, nutrition) to generate food security map at unprecedented finer spatial and temporal scales. We aim to support these solutions in an easy-to-use, interactive big EO data analysis platform.