Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
BOOSTing the bioeconomy transformation FOR (4) the BIOEAST region (BOOST4BIOEAST)

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: Coordination and support actions
Countries involved: Hungary,Czechia,Poland,Estonia,Bulgaria,Latvia,Croatia,Slovenia,Slovakia,Italy,Lithuania,Germany,Finland,Spain,Romania,Ireland,Belgium
Call: Mobilising BIOEAST networks for the development of national bioeconomy action programmes in support of the European Green Deal (HORIZON-CL6-2023-GOVERNANCE-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 3685085.88
EU funding (EUR): 3499534.54
Participants: 31
Project status: SIGNED

The BOOST4BIOEAST project aims to set in motion the levers for bioeconomy deployment in the Central Eastern European and Baltic countries. The consortium will focus on building upon BIOEASTsUP outcomes and the Vision Paper of the BIOEAST Initiative by boosting the participation of national stakeholder networks in the development of national bioeconomy action plans and to build long-lasting structures for national and macro-regional cooperation. The BIOEAST HUBs will be the national platforms directly linked to public administrations under which capacities are built and the different stakeholders of the bioeconomy are mobilised to more effectively contribute to and take part in decision-making processes using participatory approaches. BIOEAST-wide mapping of bioeconomy competencies and biomass will be undertaken to advance the knowledge on bioeconomy in the macro-region as well as BIOEAST Knowledge Platform will be created to act as repository of knowledge materials and relevant information on bioeconomy that will allow BIOEAST´s stakeholders to access, share and store bioeconomy-related materials towards developing national BIOEAST HUBs into active contributors to bioeconomy in each member state. In order to boost bioeconomy innovation and education in the BIOEAST countries, the project will bring together public and private funders with relevant business stakeholders and expand the BIOEAST UNI NET network. Activities such as training, reskilling, awareness spreading and communication channels creation will set the basis of the bioeconomic transition, creating spaces of dialogue and involvement among all agents of the industry (academia, private and public), which will boost the stakeholders engagement for the integration of programmes and policies in turn of bioeconomy. The hereby proposed consortium is composed of stakeholders of all BIOEAST member states along with partners distributed throughout Western Europe (BE, FI, GER, IE, IT& ES).

Keywords: regional development,social innovation,policy development,stakeholder engagement,co creation,investments,biobased value chains,biomass,educational needs,action plan,bioeast
Developing new antibiotic peptides targeting ESKAPE bacterial trans- translation (TRANSPEPTID)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 2
Project status: SIGNED

Antimicrobial resistance (AMR) poses a major threat to human health around the world. The AMR crisis has emerged as one of the leading public health threats of the 21st century. This global crisis is due to the fact that bacteria share and increasingly develop new resistance mechanisms as a consequence of the misuse of antibiotics, as well as a lack of new drug development. To combat this crisis, we need new classes of antibiotics, and most importantly, against new targets. It is therefore crucial to identify new molecular processes that can be targeted. Ideally, these should be: i) conserved among all pathogenic ESKAPE bacteria; ii) indispensable to bacterial survival or at least its fitness; iii) sufficiently variable that different species can be distinguished from each other; iv) absent in eukaryotes; v) not targeted by current antibiotics; vi) unrelated to existing AMR mechanisms; and finally, vii) reproducible in non- hazardous in vitro experiments. In this quest, trans-translation appears to be a perfect candidate. Development of new antibiotics that target trans-translation from multidrug resistant ESKAPE pathogens will be addressed in this project (TRANSPEPTID). We will use engineer antimicrobial peptides based on the C- terminal tails of SmpB proteins from ESPAKE pathogens with the propose to compete with endogenous SmpB, and in turn to inhibit trans-translation. The project is organized in three main objectives that will constitute three major breakthroughs in the field: (OB1) Optimization and characterization of designed peptides in ESKAPE pathogens, (OB2) Biophysical analysis of selected peptides in target ESKAPE pathogens, and (OB3) Determination of the high- resolution structures of the complexes between the peptides and their molecular targets by cryo-EM. Since TRANSPEPTID is a multidisciplinay project that embraces both fundamental and applied science, it will contribute significantly to strength the research and training profile of the researcher

Keywords: trans translation,eskape pathogens,antibiotic resistance,drug design
Intelligent systems for autonomous wind power plant operations (IntelliWind)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Denmark,Germany,Spain,Netherlands,Portugal,Belgium,Switzerland,France,Italy
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2024-09-01
End date: 2028-08-31
Duration (months): 48.0
Total project cost (EUR): 4237318.29
EU funding (EUR): 4020451.2
Participants: 20
Project status: SIGNED

The IntelliWind Doctoral Network will train the next generation of multidisciplinary researchers who will develop intelligent systems that support autonomous wind power plant (WPP) operations. A team of 16 Doctoral Candidates supported by academic and industrial partners will collaboratively pursue the primary research objective of reducing the role of humans in the decision process, as well as reducing the need for direct human interventions in the operations and maintenance process. This frees up human resources to carry out more elaborate, better planned, and more efficient operations leading to significant improvement in cost efficiency and increased feasibility of wind farm operations. The project will trigger a change in thinking in the skills and tasks that are being used in WPP operations from classical engineering tasks to designing, analysing, and interacting with automatic machine algorithms. IntelliWind aims for maximum impact by training professionals that have the skills to drive transformational change in their organisations, by driving the implementation of novel solutions and efficiently transferring new skills to their colleagues. This is ensured through delivering world-class training focused on "train the future trainers" concept where each researcher's impact goes beyond the product of a single person's efforts, as well as providing skills that define the next generation of technical leaders who can deliver transformational changes.

Keywords: decision modeling,autonomous operations
Exploring Moment-Based Equivalence for probabilistic programs (EMBEr)

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: Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 214344.72
EU funding (EUR): 214344.72
Participants: 1
Project status: SIGNED

Probabilistic programming has become an increasingly popular paradigm for representing probabilistic models due to the possibility of decoupling model representation and probabilistic inference. As for any class of models, equivalence is a paramount property, as it allows for reduction and comparison. However, the current notion of equivalence for probabilistic programs is very strict, relying on distributional equality and its weaker variants. These existing notions of equivalence are particularly unsuitable for applications where only partial knowledge of the systems is available, a common scenario in Bayesian inference. A common strategy to account for missing information is to resort to summary statistics, i.e. moments. The objective of EMBEr (Exploring Moment-Based Equivalence for probabilistic prograams) is to establish the theoretical, algorithmic, and practical foundations of a new notion of equivalence based on moments comparison. This novel approach aims to determine when two models described by probabilistic programs have the same expectations with respect to a family of functions. The project will comprise both theoretical investigations and the development of a proof-of-concept algorithm and a proof-of-concept tool for equivalence testing. EMBEr will leverage on existing knowledge on moment-based inference and equivalence testing for probabilistic programs, to propose a more flexible notion of equivalence, that will impact formal methods and programming languages, and more broadly, will advance probabilistic modeling, including Bayesian inference and cyber-physical systems.

Keywords: programming languages,probabilistic modelling
Non-canonical modification of viral RNA (MOVIRNA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Immunity, Infection and I mmunotherapy
Panel description: The immune system , related disorders  and their mechanisms , biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases , innovative imm unological tools and approaches , including  therapies
Countries involved: Denmark
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-07-01
End date: 2029-06-30
Duration (months): 60.0
Total project cost (EUR): 1996986.0
EU funding (EUR): 1996986.0
Participants: 1
Project status: SIGNED

Viruses cause significant disease, exemplified by the COVID-19 pandemic. Most studies of virus-host interactions focused on proteins, however, RNA holds great promise for basic and therapeutic exploration. Viruses evolved elaborate strategies for RNA protection, including 5’ capping and internal modification. The goal of this proposal is to discover and characterize viral RNA modifications installed by viral enzymes, including their role in innate immune evasion. This could uncover novel RNA-based mechanisms of viral replication and host modulation and lead to therapeutic targets. Many viruses encode methyltransferases (MTases) for canonical RNA 5’ capping. Curiously, no cap was identified for hepatitis C virus (HCV), an important human pathogen. We recently found that the cellular metabolite, flavin adenine dinucleotide (FAD), is used as noncanonical initiating nucleotide by the HCV polymerase at high frequency resulting in a 5’FAD cap on HCV RNA. This is the first description of a virus using this cap type for protecting its RNA and, remarkably, the first robust description of FAD capping across any kingdom of life. In Aim 1, we will investigate the functional role of the HCV 5’FAD cap, including viral evasion of innate immune sensing and RNA stability. We will also explore the evolutionary conservation of metabolite capping across RNA viruses and explore its potential as antiviral target. Viral MTases further perform 2’-O-methylation (2’OMe) of internal RNA residues, a modification that also may protect from innate recognition. In Aim 2, the extent of 2’OMe on viral RNA will be mapped and the individual contribution of 5’ and internal modification to innate immune evasion will be dissected. In aggregate, these aims will uncover how viral enzymes modify the termini and internal viral RNA residues and associated evasion of innate immunity. The outcome could reshape understanding of viral RNA biology, open novel research directions and lead to antiviral targets.

Keywords: viral replication,rna modification,rna capping,evasion of immune sensing,
Widening Excellence and Mentoring in Cybersecurity (WEM Cyber)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Türkiye,Lithuania,Slovenia,Spain,Belgium,Greece,France
Call: ERA Talents (HORIZON-WIDERA-2024-TALENTS-03, 2024)
Start date: 2026-01-01
End date: 2028-12-31
Duration (months): 36.0
Total project cost (EUR): 2948658.75
EU funding (EUR): 2936252.5
Participants: 13
Project status: SIGNED

In the rapidly evolving digital landscape, Europe faces a critical shortage of skilled cybersecurity professionals, with women representing just 22% of the workforce. This underrepresentation not only underscores inequality but also limits Europe's potential in this crucial sector.WEM Cyber's mission is to boost women's participation and expertise in cybersecurity through targeted secondments, mentorship, and skills development programmes. By fostering collaboration between academia and industry, the project aims to build research capacity and facilitate knowledge exchange, equipping participants with the entrepreneurial and leadership skills necessary to excel, and thereby contribute to the mitigation of brain drain in widening countries. Key objectives include funding 38 secondments across 5 organisations, enhancing participants' technical and soft skills through tailored training, and strengthening academia-industry collaboration. Each secondee will follow a personalised development plan, ensuring they gain relevant skills for career advancement and cybersecurity expertise. Some measurable outcomes include 29 research publications, contribution to 10 new cybersecurity solutions and at least 50% of secondees reporting improved career prospects. Additionally, the dissemination of the project's methodology and knowledge will help establish a sustainable, long-term network within the consortium partners and beyond. The WEM Cyber consortium comprises 8 partners from 7 European countries (Türkiye, Greece, Slovenia, Lithuania, Spain, France and Belgium) all with extensive experience in cybersecurity. Bisilim Vadisi will act as coordinator, joined by the University of Maribor, University Pompeu Fabra, University Paul Sabatier, Women4Cyber, Ubitech, Vilnius Tech and Bogazici University. Together, the aim is to create a more inclusive, resilient and innovative cybersecurity ecosystem across Europe, addressing both the gender gap and the cybersecurity skills shortage.

Keywords: cybersecurity,gender equality,randi circulation,cross border circulation,secondments,widening countries
Reliable Epidemic monitoring And Control under geographic and demographic heTerogeneities (REACT)

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: Sweden,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 305928.0
EU funding (EUR): 305928.0
Participants: 2
Project status: SIGNED

The current COVID-19 crisis has highlighted the failure of existing epidemic monitoring techniques in timely predicting the epidemic situation and facilitating efficient policy recommendations. Because of being open-loop or linearization-based, these techniques cannot handle model and data uncertainties effectively. Designing a feedback mechanism to enable reliable, closed-loop epidemic monitoring is crucial but challenging because of the nonlinearity and heterogeneities of the epidemic spread process. The control mechanisms for epidemic mitigation are well-known, such as testing, lockdown, social distancing, etc. However, when, where, and to what extent should the health authority implement these policies depends on the accurate estimation and forecasting of the epidemic situation, which is very difficult with the classic observer design techniques. To alleviate the difficulties posed by these observers, an interdisciplinary approach of physics-informed neural network (PINN) in combination with system-theoretic tools is proposed in this project for closed-loop epidemic monitoring that can effectively cope with uncertainties. The task of PINN is to estimate the unknown nonlinearity (i.e., disease transmission rate) and epidemic parameters by using both the physics of epidemic spread (i.e., model) and the past epidemiological data. The closed-loop structure copes with the uncertainties and validates the estimation algorithm in real-time by predicting the future data and adjusting the epidemic model accordingly. The information received by the PINN-based observer will be utilized by the optimal controller to devise optimal policy recommendations under socio-economic constraints for epidemic mitigation. The closed-loop epidemic monitoring and control technique will be integrated to understand the geographic and demographic heterogeneities during epidemic outbreaks, which will significantly enhance the effectiveness of optimal policies.

Keywords: feedback design,epidemic monitoring,physics informed learning,networked systems,optimal control
AI for REAL-world NETwork operation (AI4REALNET)

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: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Portugal,France,Germany,Italy,Netherlands,Switzerland,Sweden,Austria
Call: AI for human empowerment (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2022-HUMAN-02, 2022)
Start date: 2023-10-01
End date: 2027-03-31
Duration (months): 42.0
Total project cost (EUR): 3999976.25
EU funding (EUR): 3999976.25
Participants: 17
Project status: SIGNED

The scope of AI4REALNET covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic management) modelled by networks that can be simulated, and are traditionally operated by humans, and where AI systems complement and augment human abilities. It has two main strategic goals: 1) to develop the next generation of decision-making methods powered by supervised and reinforcement learning, which aim at trustworthiness in AI-assisted human control with augmented cognition, hybrid human-AI co-learning and autonomous AI, with the resilience, safety, and security of critical infrastructures as core requirements, and 2) to boost the development and validation of novel AI algorithms, by the consortium and AI community, through existing open-source digital environments capable of emulating realistic scenarios of physical systems operation and human decision-making. The core elements are: a) AI algorithms mainly composed by supervised and reinforcement learning, unifying the benefits of existing heuristics, physical modelling of these complex systems and learning methods, as well as, a set of complementary techniques to enhance transparency, safety, explainability and human acceptance; b) human-in-the-loop decision making for co-learning between AI and humans, considering integration of model uncertainty, human cognitive load and trust; c) autonomous AI systems relying on human supervision, embedded with human domain knowledge and safety rules. The AI4REALNET framework will be validated in 6 uses cases driven by industry requirements, across 3 network infrastructures with common properties. The use cases are focused on critical challenges and tasks of network operators, considering strategic long-term goals, such as decarbonisation, digitalisation, and resilience to disturbances, and are formulated in a unified sequential decision problem where many AI and non-AI algorithms can be applied and benchmarked.

Keywords: trustworthy,critical infrastructures,electricity,railway,air traffic management,reinforcement learning,digital environments,full human control,co learning,autonomous
Gender Justice and Universal Jurisdiction for International Crimes: Uneasy Encounters or Avenues for Norm Transfer? (GENDERUJ)

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: Belgium,Canada
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-06-01
End date: 2028-05-31
Duration (months): 24.0
Total project cost (EUR): 200400.0
EU funding (EUR): 200400.0
Participants: 2
Project status: SIGNED

Pursuant to universal jurisdiction, core international crimes (genocide, crimes against humanity and war crimes) are increasingly being adjudicated before domestic courts. Practitioners have, however, questioned their ability to form appropriate sites of gender justice. Indeed, domestic courts appear to encounter significant substantive, procedural, and institutional issues when prosecuting sexual and gender-based international crimes (SGBC). While academic debates have theoretically examined the rationale, legality, and politics of universal jurisdiction, its actual practice has received limited attention. Particularly, a robust academic study exploring the practical manifestations of gender justice – if any – in universal jurisdiction proceedings is yet outstanding. Through a comparative socio-legal case study of the law and practice of three EU Member States (Belgium, France, and Germany) and one non-EU State (Canada), GENDERUJ will investigate the ability of domestic courts to respond to challenges posed by SGBC. Building on the rich feminist scholarship engaging with gender justice in international criminal law, the project will decipher whether norm transfer from international to national legal systems is possible. Ultimately, GENDERUJ will provide valuable theoretical and practical contributions to the domestic application of international criminal law. Conducted under the supervision of Professor Damien Scalia at Université libre de Bruxelles, GENDERUJ will combine legal and sociological methods (actor mapping and semi-structured interviews). It will mobilise diverse fields of research, such as law, criminology, and victimology, and include a three-month secondment at the International Centre for Comparative Criminology of Université de Montréal. Bringing new subject knowledge as well as enhanced research and complementary skills, GENDERUJ will prepare the ER to lead a research group, obtain a tenure-track position and/or advanced funding.

Keywords: international criminal law,universal jurisdiction,sexual and gender based crimes,sexual violence,gender justice,criminal procedure,criminal law,feminist approaches,socio legal studies