Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
AutoLLMSelect: Framework for Robust and Explainable Automated Large Language Model Selection (AutoLLMSelect)

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,Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 182717.52
EU funding (EUR): 182717.52
Participants: 2
Project status: SIGNED

Large Language Models (LLMs) are gradually becoming part of academic and industrial processes due to their inherent capacity to solve a multitude of different problems across different domains. However, an open question remains – from the multitude of LLMs available, how to select the most appropriate LLM to use on a specific supervised machine learning (ML) problem (with or without fine-tuning), without evaluating a large portfolio of LLMs on the labelled dataset related to that ML problem. Evaluating a large LLM portfolio across multiple criteria introduces high computational cost, which then translates into a negative environmental impact, especially in terms of increased carbon emission. This proposal aims to (1) publish a comprehensive LLM benchmark dataset analysis that would facilitate a robust and unbised LLM benchmarking, (2) make the first steps towards a robust, explainable and evolving framework for automated LLM selection based on a multi-disciplinary approach that would reduce the cost for comparing large LLM portfolio on ML datasets, and (3) evaluate the applicability of the framework on a use-case from in field of sustainable development. Due to the high complexity of the problem to be solved, the proposal will present a proof-of-concept on a selected LLM portfolio, dataset portfolio, and performance metrics, based on the available data in public benchmarks. The framework would evolve and could be extended in the future with new LLMs, benchmark datasets, ML tasks, performance metrics, from both our side and the community.

Keywords: deep learning,statistical data analysis,meta learning,representation learning,large language model
VALUATION OF ENVIRONMENTAL STRESSORS (VALESOR)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Living and working in a health promoting environment
Action type: Research and Innovation actions
Countries involved: France,Sweden,Norway,Serbia,United Kingdom,Italy
Call: Methods for assessing health-related costs of environmental stressors (HORIZON-HLTH-2022-ENVHLTH-04, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 2913886.26
EU funding (EUR): 2913886.26
Participants: 13
Project status: SIGNED

VALESOR aims to make major contributions to the scientific and policy efforts to accommodate economic values of environmental stressors more homogenously in policy making, planning. The environmental stressors of concern for VALESOR are chemical stressors such as chemicals and air pollutants transmitted via air, water, and soil vectors. VALESOR will develop an innovative website tool for stakeholders to assess health and economic consequences of planned variations in chemical stressors. This website tool will be able to evolve: by given the fact that, at a given date, exposure and impact assessment of some chemical stressors would be still incomplete, thus providing partial and provisional assessment based on credible hypothesis. VALESOR will also engage in substantial outreach activities to promote the consideration of environmental stressors in economic decision making and to facilitate an establishment of a trans-disciplinary consistency in values used when valuing environmental stressors.VALESOR will previously develop a state-of-the-art environmental economic model which will be as complete as theoretically possible in its representation of economic values of pollution. In particular, VALESOR will increase the number of human health endpoints considered in economic welfare assessments of chemical and air pollution in connection with recent results and current projects. Based on earlier research and engagement with other programs, VALESOR will clarify which input knowledge is important prior to calculating economic values associated with pollution. In particular, VALESOR will benefit from the experience and knowhow of several of its partners who have already worked models and / or tools targeting air pollution. VALESOR will make concrete guidance with respect to how key economic wellbeing values should be used by policy makers

Keywords: external costs damage costs chemical stressors website tool air pollution model guidance
Taming, controlling and harnessing quantum complexity (TaQC)

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: Physics
Countries involved: Ireland
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-04-03
End date: 2025-04-02
Duration (months): 24.0
Total project cost (EUR): 199694.4
EU funding (EUR): 199694.4
Participants: 1
Project status: CLOSED

Quantum processes hold tremendous potential for the development of novel technologies, as epitomized by the recent proliferation of commercially available quantum devices. To date, most research and innovation in the field has focused on spatial quantum effects – most prominently entanglement -- leaving quantum effects in time an as-of-yet untapped resource. Progress in understanding such effects has been hindered by the inherent complexity of quantum memory and the lack of an adequate conceptual framework. This, in turn, has prevented the development of tools to probe, predict and compress general quantum processes. This action aims to overcome these hurdles and answer the following fundamental questions: What kinds of quantum memory effects are physically possible? How can they be efficiently probed? How can predictive models for quantum processes be constructed? Answers to these questions will be obtained by combining a novel, fully-general approach to the dynamics of open quantum systems, with a proven, systematic construction of memory-minimal models of classical phenomena. The ensuing framework and tools will engender bounds on the strength and distribution of quantum memory, enable the construction of predictive models for complex quantum processes, and render their characterization experimentally tractable. These crucial innovations will pave the way to a reconceptualization of quantum information processing that provides the means to harness the full potential of quantum processes, both in space and time. As a result, the outcomes of the action are expected to find long-term application in a wide array of fields, ranging from quantum information to complexity theory and bio-chemical processes. The research will be carried out at Trinity College Dublin, in the perfectly suited group of Felix Binder, who is a leading expert working at the interface of quantum thermodynamics, classical complexity theory and quantum information theory.

Keywords: entanglement in time,quantum complexity,efficient tomography
Amplitudes for Classical and Quantum Gravity (AmpGravity)

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: Physics
Countries involved: Switzerland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 292118.88
EU funding (EUR): 292118.88
Participants: 1
Project status: SIGNED

AmpGravity will employ amplitudes techniques to progress the fronts of classical (Objective 1) and quantum (Objective 2) gravity, while exploring the rich interplay of the two. Objective 1: Calculations based on scattering amplitudes in Quantum Field Theory (QFT) have significantly increased the accuracy of models for the evolution of astrophysical binaries in General Relativity. Kosmopoulos' results in particular have been imported into recent versions of the Effective-One-Body formalism, the main model used for gravitational-wave-template production by the LIGO, Virgo, and KAGRA collaboration. Kosmopoulos will push the state-of-the-art to meet the precision goals of the next-generation observatories by performing the necessary calculations for binaries of spinning objects and developing non-perturbative methods pertinent in the strong-coupling regime. Objective 2: Low-energy gravitational theories must obey consistency conditions, such as unitarity and causality, to be embedded in a complete theory of quantum gravity valid at all energy scales. Amplitudes in conjunction with dispersion relations are a natural language to derive such consistency conditions. Kosmopoulos will use these quantum-gravity considerations to obtain bounds on quantities of interest for the classical problem of gravitational-wave physics, such as the stress tensor and tidal-response coefficients for black holes and neutron stars. In turn, he will improve these methods by including known universal behavior of gravitational amplitudes, namely the eikonal limit established in a regime controlled by classical physics, and use them to derive properties of quantum gravity.

Keywords: scattering amplitudes,quantum field theory,gravity,gravitational waves,black holes,spin,curved space,self force,dispersion relations,effective field theory,bounds on wilson coefficients
Oils4cure: finding an effective drug to alleviate Refractory Epilepsy, one of the most severe symptoms in the pathology of Tuberous Sclerosis Complex (oils4cure)

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: Spain
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2023-12-01
End date: 2026-08-31
Duration (months): 33.0
Total project cost (EUR): 2225538.75
EU funding (EUR): 1557877.13
Participants: 1
Project status: SIGNED

OILS4CURE is a Spanish biotech company dedicated to the research, development, production and commercialisation of medicinal products based on full spectrum medicinal cannabis extracts. It is developing a drug to manage refractory epilepsy associated with tuberous sclerosis complex (YCJ-01) and another for Leukodystrophies (YCJ-02), both paediatric rare diseases. This project only deals with the development of our first and most advanced therapy directed at tuberous sclerosis complex (TSC).

Keywords: orphan drug,rare diseases
DigID - Doing Digital Identities (DigID)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-02-01
End date: 2028-01-31
Duration (months): 60.0
Total project cost (EUR): 1495050.0
EU funding (EUR): 1495050.0
Participants: 2
Project status: SIGNED

We are witnessing the most significant change in statist identification practices since the consolidation of the international passport regime in the 19th century. Digital ID devices like electronic ID cards providing access to government services via PINs, biometric databases, and blockchain-secured digital identity wallets are increasingly complementing, or even replacing, paper-based means of identification. Yet so far, the implications of digital ID devices have mostly been studied in relation to criminal suspects and migrant 'others', not the normalized majority of citizens. This project uses this unique moment of change to assess how material citizenship - i.e. the technologies and infrastructures used to enact citizenship as a political subjectivity and a formal relation to the state - is reshaped in the digital age. Its principal research question is: How does the digitization of identification practices reconfigure relations between citizens and state authorities? The project investigates transformations of citizen-state relations through digital ID devices at three sites: birth registration, citizen-government transactions, and border controls. Theoretically, the project draws on science and technology and data studies to propose a conception of material citizenship as performative and sociotechnical and to advance a research agenda that focuses on the practical, epistemic, political, and ethical implications of digital identification. Methodologically, the project combines multi-sited ethnographies, textual analysis, and mapping to study the design, implementation, and use of digital ID devices in one international and four national case studies. In this way, DigID sheds light on the much-neglected material dimension of citizenship and shows how digital ID devices reshape the lived experience of citizenship - understood as a legal status, a form of membership in a political community, and a set of bottom-up practices enacting the 'right to have rights'.

Keywords: citizenship,digitization,identification,legal identity,performativity,political belonging,rights claims,statecraft
Finance and Risk in the Lives of Working People in Market Socialist Asia (FinancialLives)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-11-01
End date: 2030-10-31
Duration (months): 60.0
Total project cost (EUR): 2422760.0
EU funding (EUR): 2422760.0
Participants: 1
Project status: SIGNED

The rise of household financial activities such as mortgages, consumer credits and private insur-ance among working people in China, Vietnam and Laos signals new patterns of accumulation alongside the commodification of labour that has been central to their national development. In these market socialist countries, where marketization is deepening under the rule Communist par-ty states, governments are turning to financialization to ensure growth and fill the gaps of social provisioning. Via financial products and services, debt and private risk management are being promoted to working people as the means to wealth accumulation and social protection, drawing household reproduction into the financial system. Meanwhile, working households actively deploy risk management tools marketed by financial institutions for their own purposes, thereby playing a constitutive role in how financialization unfolds. Hypothetically, the ensuing normalisation of risk exposes working households to increasing systemic risk that characterises global finance, with far-reaching implications for the reproduction of working lives and the sustenance of the market socialist economy. Enquiring into household and institutional processes that bind labour and finance through the production, governance and management of risk, FinancialLives uses the concept politics of risk to comparatively unpack these implications across the three countries. As an anthropological project, it includes five ethnographic studies examining the household pro-cesses and negotiations referred to as financial householding as well as the practices of risk commodification by commercial banks in their interactions with working people. The project is timely and ground-breaking in illuminating the differing ways in which risk has become both a governing tool and a social practice under market socialism, with uneven possibilities and dangers for working people and the state.

Keywords: financilization,labour,risk,private risk management,governance,commodification,market socialism
Artificial PHOTOsynthesis to produce FUELs and chemicals: hybrid systems with microorganisms for improved light harvesting and CO2 reduction (Photo2Fuel)

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
Countries involved: Spain,Netherlands,Germany,China,Switzerland,Sweden
Call: Emerging technologies for a climate neutral Europe (HORIZON-CL5-2021-D2-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 2493171.25
EU funding (EUR): 2493171.0
Participants: 8
Project status: SIGNED

The Photo2Fuel project will develop a breakthrough technology that converts CO2 into useful fuels and chemicals by means of non-photosynthetic microorganisms and organic materials, using only sunlight as energy source. Photo2Fuel's technology is based on the artificial photosynthesis concept and will use a hybrid system of non-photosynthetic microorganisms and organic photosensitisers to produce acetic acid and methane, using Moorella thermoacetica (bacteria) and Methanosarcina barkeri (archaea) strains, respectively. After optimisation and characterisation, this hybrid non-photosynthetic microorganisms with organic photosensitiser system will be placed into an auto sufficient photo-micro-reactor running exclusively with sunlight. During the day, the natural sunlight will be used, and, during the night, artificial light will be used from previous stored solar energy in batteries (excess sunlight). This approach will guarantee the continuous operation of the photo-micro-reactor. Additionally, a solar concentrator will be coupled to the reactor to maximise conversion and stabilise the production of fuels and chemicals, even with variant solar flux. The Photo2Fuel project will also investigate technologies for the separation of the main products - acetic acid and methane – and deliver solutions to achieve high separation efficiency. The overall sustainability of the Photo2Fuel's technology will be analysed, including the environmental, economic, and social aspects. Lastly, the market, barriers, and key stakeholders will be analysed from an end-user perspective, aiming at advancing the technology's TRL-4 after the project completion and, thus, actively supporting the transition to a climate neutral Europe by 2050.

Keywords: solar energy bacteria archaea solar fuels co2 reduction organic semiconductor solar fuels artificial photosynthesis mini solar plant products separation acetic acid methane energy storage
Quantum Inspired Valuation of circular real estate (QuiVal)

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: Netherlands,Italy,Denmark,Estonia,Belgium,Switzerland,United Kingdom
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): 2748477.6
EU funding (EUR): 2748477.6
Participants: 22
Project status: SIGNED

QuiVal will train a new generation of professionals who can develop and apply an innovative, climate-aware approach to real estate value and valuation aimed at achieving the European aim of becoming CO2 neutral before 2050. This is highly needed because the real estate industry is one of the biggest polluting industries that urgently needs to reduce its emissions. Value and valuation are some of the big drivers of investment decisions and project realisation that shape this industry. In practice value and valuation are based on the potential future income generation of real estate, without considering environmental and societal values, which become practically urgent and relevant with new EU rules and regulations (e.g. ESG and SFRD reporting). Despite this urgency, limited scholarly work exists to understand the value of real estate that is CO2 neutral throughout its life cycle, including production, operation, dismantling and reuse. QuiVal conceptualises value and valuation as metaphorical synonyms to quantum mechanics and tests proposed changes in real estate applications. QuiVal responds to recent theoretical calls to consider quantum mechanical notions in financial tools and techniques, and as a first of its kind conceives this as a design research to explore the merits of quantum mechanical notions to pursue circular real estate. This enables value to be understood as a multifaceted phenomenon and valued by observing it in its fluid appearance in the market. It is expected that tools and techniques with this comprehension and sensitivity enable new governance and policies to more intrinsically motivate future investments in circular real estate. QuiVal is a collaborative network of PhD projects that trains and develops quantum inspired approaches to value buildings with a long life and components and materials easily mobile for reuse, thereby synthesising recent advances in digital and human valuation techniques for a circular real estate market.

Keywords: valuation,reinvention,circular built environment,circular economy,real estate,value in use,material reuse resource scarcity,energy efficiency,co2 neutral