Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Implementing a patient-centred and evidence-based intervention to reduce BEnzodiazepine and sedative-hypnotic use to improve patient SAFEty and quality of care (BE-SAFE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Ensuring access to innovative, sustainable and high-quality health-care
Action type: Research and Innovation actions
Countries involved: Belgium,Poland,Spain,Norway,Greece,Germany,Switzerland
Call: Enhancing quality of care and patient safety (HORIZON-HLTH-2021-CARE-05, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 4883232.0
EU funding (EUR): 4883229.0
Participants: 10
Project status: SIGNED

Benzodiazepine and sedative hypnotics (BSHs) incur significant adverse effects and costs, especially in older adults. Addressing BSH overuse in older adults is therefore an urgent priority to improve patient safety in Europe. However, previous attempts did not lead to large-scale reduction in use. The goal of BE-SAFE is to improve patient safety by addressing knowledge and practice gaps related to the reduction of BSHs used for sleep difficulties in Europe. BE-SAFE proposes an interdisciplinary and inter-sectorial approach with experts in guidelines, implementation, dissemination, case studies, geriatrics and sleep. BE-SAFE will emphasize patient involvement by establishing a Patient Partnership Advisory Council with patients, informal carers and patient organisations, which will advise on all aspects of the project. BE-SAFE will conduct a survey among patients, informal carers and healthcare professionals (HCPs) to identify barriers and enablers to BSH reduction. The results will inform the development of guidelines, implementation recommendations and patient-centred materials to support self-management. The approach will be tested in a multinational, cluster randomised controlled trial. Case studies conducted in the six countries will inform the development of country-specific and general logic models to facilitate the scale up and spread of the BE-SAFE intervention and adapt inter-sectoral clinical pathways. Finally, BE-SAFE will develop a toolkit to disseminate the new best practices to allow different European healthcare systems to implement this process in a standardised way, while allowing for adaptation to account for country and context differences. BE-SAFE multifaceted patient-centred approach will provide resources for patients, HCPs, healthcare systems and policymakers throughout the diverse European healthcare landscape to reduce BSH use threatening patient safety, and serve as a model to address the reduction of other harmful medications.

Keywords: benzodiazepine and sedative hypnotics,older adults,implementation research,patient involvement,barriers and enablers,guidelines,randomised controlled trial,case studies,clinical pathways
Algebraic Theory of Information Quantities (ALGETIQ)

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: Mathematics
Countries involved: Norway,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): 210911.04
EU funding (EUR): 210911.04
Participants: 2
Project status: SIGNED

Information theory is a discipline at the intersection of statistics, engineering and computer science. As the study of information quantities, such as compression or communication capacities, information content or measures of statistical dependency, it is one of the theoretical underpinnings of data science. Computational problems in information theory are highly non-linear. The goal of this project is to transfer state-of-the-art methods of computational non-linear algebra to information theory, to study the inherent algebraic complexity of information-theoretical problems and to provide tools for solving them in practice. The algebraic point of view has proven to be fruitful in seemingly unrelated areas, as witnessed by a surge of recent work in algebraic statistics, in particular on likelihood geometry. However, maximizing the likelihood function is the same as minimizing relative entropy — a specific information quantity. Hence, this project also aims at generalizing the techniques developed in likelihood geometry. One focus is on the practical computation of information quantities using numerical and differential algebraic geometry. Such quantities are defined via non-linear optimization problems and we aim to pinpoint the algebraic complexity of these problems in instances of general interest, such as common information measures. The final objective is finding fundamental laws and limits of data science imposed by non-linear inequalities constraining the entropic region. These inequalities provide, by duality, universal bounds for many of the optimization problems studied in information theory.

Keywords: information theory algebraic statistics applied real algebraic geometry non linear algebra numerical algebraic geometry
Integrated Purification Technology for Refrigerators using photocatalysis without UV light. (IPTR)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Italy
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Food waste represents one of the most pressing challenges of our time, impacting not just our economies and food security but also our environment on a global scale. According to the UNEP Food Waste Index 2024, approximately 1.05 billion tonnes of food waste were generated worldwide in 2022. In the EU alone, over 58 million tonnes of food waste are generated annually, equating to 131 kg per inhabitant. This staggering amount has an associated market value estimated at €132 billion. rom an environmental perspective, food waste is responsible for 6% of global greenhouse gas emissions. The primary cause of food waste is the early spoilage of fresh products due to the presence of microorganisms. In this context, the development of air purifiers for refrigerators has become a critical area of focus. To respond to these needs, we have pioneered the development of IPTR, a cutting-edge air purifier using photocatalytic technology specifically designed to be integrated in refrigerators. For the first time, tungsten trioxide (WO3) is used for coating the ceramic filter. Its chemical-physical capabilities allows the filter to activate with visible light. In addition, advanced sensors continuously monitor the refrigerator's temperature and door openings, levels of humidity and of VOCs as well as ethylene.

Keywords: refrigerator integrated air purifier,iot,food waste,photocatalytic technology,tungsten trioxide
Profiling and targeting news readers – implications for the democratic role of the digital media, user rights and public information policy (PersoNews)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-08-01
End date: 2021-05-31
Duration (months): 70.0
Total project cost (EUR): 1479515.0
EU funding (EUR): 1479515.0
Participants: 1
Project status: CLOSED

In the digital media environment, user attention is scarce and competition for ‘eyeballs’ is fierce. Profiling and targeting readers with customised news and advertisements that match their individual interests is widely seen as a solution. The personalization of news media content enables new financing strategies and means to capture the audience’s attention. But personalisation is also part of a more fundamental paradigm shift in the media’s role from public interest intermediary to personal information coach. This research will answer critical questions about the implications for individual users and contribute to a new normative theory of the role of personalised media in a democratic society. To do so, this project integrates legal research, communication sciences and political sciences, undertakes comparative, normative and evidence-based research, and carries out experiments, interviews and a survey. Two communication science postdocs will conduct empirical research into user concerns, the conditions that affect users’ acceptance of media personalisation (postdoc 1), and how personalisation affects journalistic practices and ethics (postdoc 2). Informed by these insights, two PhD students will scrutinise the legal framework and answer important questions about the legal protection of the public’s trust in editorial integrity (PhD 1) and autonomous, non-discriminatory information access (PhD 2). The PI will develop a normative framework of personalised media, based on the empirical research and political theories about the democratic role of the media. This responds to the criticism that existing theories are increasingly disconnected from the realities of digital media and their distinct contribution to democratic and participatory processes. The project will explore the potential of personalisation to expose citizens to more relevant or diverse content, thus reversing widespread concerns about information overload, filter bubbles and selective exposure.

Keywords: personalised news,profiling and targeting,big data,user concerns,regulation,normative theory,public information policy,democratic role media,multi disciplinary,evidence based,comparative
No Biofouling Surfaces (NoBios)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2017-03-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Biofilms consist of bacteria, proteins and cells which attached to a solid surface. Prevention of biofilms is of extreme relevance in industry and science as they are ubiquitous and able to provoke corrosion or failure in pipelines, heat exchangers, biomedical devices, artificial implants or food processing facilities. Biofilms are often battled with antibiotics, but bacterial resistance is a major problem. Therefore, novel approaches are required to avoid biofouling. We will explore the application of (1) superamphiphobic coatings, (2) slippery liquid infused porous surfaces and (3) functional pillar arrays surfaces to battle biofouling. These surfaces have in common that they strongly repel water, blood and organic liquids, and even soap-water mixtures due to a synergy between rough topography and a special chemistry. We will monitor and characterize the adhesion of bacteria, proteins and cells to these surfaces depended on shape, size and chemical of composition of the surface and the liquids. Several classical and highly advanced cutting edge methods will be used to investigate the wetting and fouling properties of these surfaces, especially laser scanning confocal microscopy. In the final steps of the research, we will evaluate the robustness of the surfaces and the biocompatibility in order to establish potential real applications in collaboration with industrial partners. We exert a high impact of this fellowship to the scientific community and the rest of society.

Keywords: bacteria,proteins,adhesion,adsorption,superhydrophobicity,superamphiphobicity,slippery surfaces,pillar arrays,laser scanning confocal microscopy,wetting,colloids
The politics of anti-racism in Europe and Latin America: knowledge production, decision-making and collective struggles (POLITICS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Portugal
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 1915381.0
EU funding (EUR): 1915381.0
Participants: 1
Project status: SIGNED

The main objective of POLITICS is to innovate knowledge on anti-racism that brings about a greater understanding of how historically rooted injustices are being challenged by institutions and grassroots movements. Considering the centrality and mutual influence of Europe and Latin America in the global processes of racial formation, POLITICS will develop an inter-disciplinary and comprehensive approach towards two core goals: (a) the analysis of processes of knowledge production about ‘race’ and (anti-)racism in the spheres of (inter)national governmental politics, State universities and grassroots movements; (b) the examination of diverse paths of denunciation and collective mobilisation against everyday racism concerning police practice and representations in the mass media. POLITICS embraces a multilevel analysis and information-oriented selection of case-studies in three interrelated research streams: (i) Global, regional and state-sponsored political frameworks and public policies; (ii) Cultures of scholarship and the study of racism and (post)colonialism at State universities; (iii) Tackling everyday racism: processes of denunciation, political mobilisation and case-law concerning police practice, and racist representations in the media and mass media. The research challenges the shortcomings of evaluative comparisons and the selection of research contexts enables interrogating the relations between the global, national and local levels. They include the Organisation of American States, the European Union and national and local politics in Brazil, Peru, Portugal and Spain. Qualitative research and data collection engage with race critical theories, critical discourse analysis and participatory methods that consider power/knowledge at their core. POLITICS will unravel the configuration of different notions of dignity, justice and equality resulting from anti-racist struggles and policy interventions and their significance for envisaging decolonial horizons.

Keywords: politics of anti racism,power,knowledge,multilevel research,grassroots movements,inter national political frameworks,cultures of scholarship,everyday racism,case studies,police,mass media
Formal Reasoning About Probabilistic Programs: Breaking New Ground for Automation (FRAPPANT)

Framework: Horizon 2020 — 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: Germany
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-11-01
End date: 2024-10-31
Duration (months): 72.0
Total project cost (EUR): 2491250.0
EU funding (EUR): 2491250.0
Participants: 1
Project status: SIGNED

Probabilistic programs describe recipes on how to infer statistical conclusions about data from a complex mixture of uncertain data and real-world observations. They can represent probabilistic graphical models far beyond the capabilities of Bayesian networks and are expected to have a major impact on machine intelligence. Probabilistic programs are ubiquitous. They steer autonomous robots and self-driving cars, are key to describe security mechanisms, naturally code up randomised algorithms for solving NP-hard problems, and are rapidly encroaching AI. Probabilistic programming aims to make probabilistic modeling and machine learning accessible to the programmer. Probabilistic programs, though typically relatively small in size, are hard to grasp, let alone automatically checkable. Are they doing the right thing? What’s their precision? These questions are notoriously hard — even the most elementary question “does a program halt with probability one?” is “more undecidable” than the halting problem — and can (if at all) be answered with statistical evidence only. Bugs thus easily occur. Hard guarantees are called for. The objective of this project is to enable predictable probabilistic programming. We do so by developing formal verification techniques. Whereas program correctness is pivotal in computer science, the formal verification of probabilistic programs is in its infancy. The project aims to fill this barren landscape by developing program analysis techniques, leveraging model checking, deductive verification, and static analysis. Challenging problems such as checking program equivalence, loop-invariant and parameter synthesis, program repair, program robustness and exact inference using weakest precondition reasoning will be tackled. The techniques will be evaluated in the context of probabilistic graphical models, randomised algorithms, and autonomous robots. FRAPPANT will spearhead formally verifiable probabilistic programming.

Keywords: formal verification,probabilistic programming,model checking,program verification,weakest preconditions,probabilistic models,formal methods,bayesian networks
Airbone Asset Management Inspection Robot - Offshore (A2MIRO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Austria
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Wind power represents around 25% of the new energy installed worldwide and it is estimated to become the most attractive energy segment by 2030, along with solar power. Besides its valuable environmental benefits, wind power is also an interesting business opportunity, being one of the cheapest energy resources and composing a multi-trillion industry. However, wind farm owners still struggle with the high costs derived from the in-site rope work traditionally conducted for the Operations and Maintenance (O&M) of their wind turbines (WTs). How can we help owners optimising their O&M costs? A2MIRO is a novel tool based on Unmanned Aerial Vehicles for the efficient airborne inspection of WTs and other infrastructures in onshore and offshore locations. A2MIRO works remotely and takes data faster than humans, so our users can minimise the costs and human intervention. As well, our software provides all the needed functionality for managing and exploiting the acquired data through an easy-to-use interface, and it can be integrated with 3rd parties’ data to obtain more detailed knowledge. Furthermore, A2MIRO is affordable, thanks to a flexible pricing plan based on flat rates; no surprises in the bill! A2MIRO will bring a new paradigm in WT O&M, thanks to the reduction of costs at many levels compared to the traditional rope work and the increased energy yield brought by an optimal maintenance of equipment. This new and more profitable scenario will further attract potential investors, so the installation of wind farms will be boosted, supporting the environmental sustainability at European and global level. For our company, A2MIRO will have remarkable impact, since it will represent the culmination of several years of R&D and an inflexion in our business growth. According to our estimations, A2MIRO will bring additional revenues of €8.0 million by 2023 (x20 the turnover generated in 2018) involving the generation of 26 new job positions.

Keywords: wind turbines,inspection,operations and maintenance,offshore
Intelligent MIcrorobot POweRed by Ultrasound (IMIPORU)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: SIGNED

Microrobots with the ability of sensing physiologically important signals and respond by autonomously accumulating at target sites may revolutionize minimally invasive medicine. Miniaturizing electronic sensors, actuators and batteries to microscale is not feasible with the state-of-the-art technology. A promising alternative for instantiating on-board sensing and computation for remotely powered micromachines is exploiting structure and material properties. Recent studies show that micromachines can transform acoustic waves into controllable motion and powering can be realized using off-the-shelf medical ultrasound transducers. The objective of IMIPORU project is to develop the first truly autonomous microrobots powered by acoustic streaming (acoustically generated steady flow) that can perform taxis behaviour. To achieve this task, I will systematically study fluid-structure interaction (FSI) at the microscale numerically, experimentally and analytically. This analysis will lead to the design of novel mechanisms that respond to varying hydrodynamic loads. By manifesting mechanical instabilities, robots will mimic flagellated bacteria that exploits the buckling of the hook to change direction. Furthermore, understanding FSI is instrumental for optimizing the acoustic propulsion machinery. State-of-the-art, high-resolution two-photon polymerization technique for photocurable polymers will be used to manufacture multi-material structures with complex geometries. Since acoustic actuation does not depend on material choice, integrating responsive soft hydrogels into the structure will add another dimension for interacting with the environmental via chemical and temperature signals. Incorporating intelligent mechanical design along with responsive materials will enable microrobots to change their form and kinematics in different viscosity, temperature or chemical conditions, paving the way to autonomous navigation including viscotaxis, chemotaxis, and thermotaxis

Keywords: soft robotics,additive manufacturing,embodied intelligence,microtechnology,fluid structure,interaction,mechanical instabilities,acoustic streaming