Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Linked Lives: Consequences of Long Commuting for the Health of All Family Members (COMFAM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Germany,Finland
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 2193224.0
EU funding (EUR): 2193224.0
Participants: 2
Project status: SIGNED

Passive commuting–regularly recurring travel between home and work by a motorized vehicle or public transportation–is an integral part of our lives. Commuting may take a toll on the health of commuters and their family members. Current research offers a limited understanding of whether commuting’s health impacts are socially patterned. Information about whether long commuting affects family members is scarce. A comprehensive inquiry into this topic is needed to understand what commuting means for population health. COMFAM’s main objectives are: 1) to investigate the impact of long commutes on commuters’ physical health, 2) to investigate whether long commutes have adverse effects on non-commuting partners’ health and well-being, 3) to assess the effects of parental long commutes on children’s health and social outcomes, 4) to examine whether changes in commuting during and after the COVID-19 pandemic have brought any changes to the health and well-being of the family members, and 5) to examine whether the health effects of long commutes differ across population subgroups, and whether these effects are short- or long-term. COMFAM is ambitious and highly innovative. It will use high-quality Nordic register data, enabling us to examine comprehensive objective indicators of health, investigate the heterogeneous health effects of long commuting, and employ novel methods to address endogeneity and help establish a causal pattern. We will also leverage rich survey data from the UK, US, and Germany to investigate mechanisms that may underlie commuting-health relationships and assess health declines not yet requiring medical treatment. COMFAM is also important. In addition to impacting population health, the negative health effects of commuting may reduce employee performance, induce premature exits from the labor force, and set children on problematic trajectories. Thus, the findings will have far-reaching public health, social, and economic implications across nations.

Keywords: commuting,health,family health,child well being
Fate of sulfonamides in wetland systems by multi-element stable isotope concept (FATE-SA)

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: Environment and Geosciences
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 1
Project status: SIGNED

Antibiotics (AB), their degradation products and the translocation of resistant genes in the environment poses serious health risks to humans, animals and ecosystems (OneHealth concept). Constructed wetlands (CW) have untapped potential to treat wastewater from agriculture, domestic sewage or contaminated water effluents from waste water treatment plant for eliminating AB. However, the overall distribution, persistence and the contribution of different dissipation processes of AB in CW remain mostly unknown. Here, the project aims to identify degradation processes of AB in wetlands by developing a cutting-edge four-dimensional element isotope (13C, 15N, 2H, and 33/34S) approach and concepts to improve CW use worldwide. Sulfonamides (SAs) are selected as representative AB. Methods of isotope-effect free extraction from environmental matrices and isotope analysis will be developed while a conceptual framework will be tested to isotopically identify degradation processes in wetland, including the direct and indirect photolysis with DOM and nitrate and plant degradation in vitro and in vivo, and to further monitor SAs degradation in the field using isotope concepts. This work will open a new paradigm to better understand and follow up the fate of SAs and other emerging micropollutants in wetlands but also for other field conditions. The applicant has a proven record of experience of isotope concept application supported by 6 first authored publications and has developed independent thinking and problem-solving skills during his past scientific study. The host holds both unique infrastructure for stable isotope analysis (GC/EA-IRMS, MC-ICPMS) and the expertise for implementation, evaluation and interpretation and a rich experience for wetland field work. This project is thus based on the genuine combination of expertise of all contributors to gain new knowledge and experience, enabling the applicant to develop his own research path within this emerging field.

Keywords: sulfonamides degradation,wetland systems,isotope methods development,photodegradation,plant degradation in vivo and in vitro,four dimensional element isotope analysis,2h,15n,13c,33 34s
Towards Soft Fixture-Based Manipulation Primitives Enabling Safe Robotic Manipulation in Hazardous Healthcare and Food Handling Applications (SoftEnable)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Sweden,Germany,Spain,Israel,United Kingdom
Call: AI, Data and Robotics at work (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 2568721.0
EU funding (EUR): 2568721.0
Participants: 7
Project status: SIGNED

Fresh food processing is a labour intensive task requiring workers to operate in hazardous environments such as cold rooms while handling delicate produce. Industry KPIs however include reducing human exposure to these harsh conditions and avoiding injury while maintaining high levels of productivity and employee satisfaction. These challenges are in principle well-suited for robotics, but the handling of delicate items such as meat and fish requires new types of robotic manipulation primitives to secure the manipulated object safely. SoftEnable proposes a new framework for manipulation actions involving deformable delicate objects based on the notion of soft fixture-enabled manipulation primitives. While fixtures by means of robotic grasps or specifically designed workpiece fixtures are routinely applied in industrial robotics applications involving rigid objects such as metal parts, there is a need to generalize these robotic methods to materials and situations that require the robust manipulation of soft or fragile items. SoftEnable will extend existing robotic grasping and manipulation techniques based on a novel soft fixture-based framework that generalize the notion of caging grasps together with the co-development of a soft fixture-optimized robotic manipulator and tooling for this purpose. Besides the fresh food handling use case, SoftEnable will focus on the healthcare sector where the project will demonstrate how soft fixtures can be utilized by a robotic system assisting health care workers by reducing stress and risk exposure during the handling, preparation, dressing, undressing and safe disposal of personal protective equipment (PPE).

Keywords: robotic manipulation,deformable objects
Sonophoresis smartpatch for pain-free, controllable, and wearable transdermal drug delivery (SONOPHORESIS SMARTPATCH)

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: 2023-08-01
End date: 2026-05-31
Duration (months): 34.0
Total project cost (EUR): 3840375.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Wearable SmartPatch is a unique needle-free drug delivery solution, based on a patented electronic system, that opens skin pores temporarily to deliver macromolecular drugs. It generates sound waves (Sonophoresis) that increase the size of the skin pores without pain or damage and passes drugs like insulin, heparin, or EPO (>50KDa) through, reaching the hypodermis and capillary vessels, without altering the pharmacokinetic profile of the drug. It has a durable part with 3-year warranty including the ultrasound generator, electronics, and battery, and a disposable and recyclable piece that encloses the adhesive and the drug reservoir with up to 2mL (average for 3 days of treatment), changeable in less than 2 minutes. The device can vary both the absorption rate and the depth reached depending on programmed stimulation parameters, which allows adaptation to different skin types and therapeutic uses. Our tests have shown absorption rates of at least 0,05 mL/minute on a 1 cm2 pig skin area

Keywords: wearable medical device,sonophoresis,transdermal drug delivery,diabetes,ehealth wearable,needle free drug delivery
Label-free assembly of RNA-containing viruses, one particle at a time (LabFree)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Netherlands
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Self-assembly of viral particles remains a poorly understood process. What typically is known is the starting state, i.e. what the individual proteins and the genome look like, as well as the end state, i.e. the structure of a complete virus. However, what happens in between is largely unclear. The reason for that is that it is difficult to capture the intermediate assembly states with standard techniques. In this project, this problem will be tackled by using state-of-the-art single molecule techniques that are able to follow the early steps in assembly of individual particles. This means that viral assembly initiation can be observed particle by particle. While traditional ensemble averaging techniques are very useful to decipher the overall thermodynamics of viral assembly, they do not account for individual variations. Single particle techniques have an exactly opposite approach as these variations are captured, because each individual particle is followed. This will allow for understanding the variability in assembly and lay bare possible pathways of this process. In order to interfere as minimally as possible with assembly, label-free techniques are used that do not influence or alter the particle-particle interactions. In this manner, assembly initiation of RNA containing viruses will be studied. The new insights into assembly that will be generated are essential for constructing fundamental knowledge on this poorly understood process. The results will additionally be available for using viral nanoparticles in nanotechnology and medicine, as well as for fighting viruses more efficiently.

Keywords: physical virology,self assembly,high speed afm,optical tweezers
Strong-Coupling for Optimal Plasmon-Catalysis (SCOPC)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-12
End date: 2025-01-11
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: CLOSED

SCOPC (Strong-Coupling for Optimal Plasmon-Catalysis) will provide a theoretical methodology and detailed investigation to improve photo-chemical plasmonic catalysis and extend it with a non-intrusive control-strategy. I will efficiently embed realistic external electromagnetic environments into first-principles density-functional theory calculations. Shaping this electromagnetic environment into the form of a resonator, the ‘resonator, plasmonic particle and molecule’ constitute multi-component cavities which provide non-intrusive control over the plasmon-molecule dynamics by means of the size and quality of the external resonator. SCOPC paves a way to control photo-absorption cross-section and catalytic features on-the-flight without the need to change structure or composition of the nanoparticles. In addition, I will resolve current limitations of first-principles QED. Especially the limitation to treat only very few molecules strongly coupled to a photonic environment stands in clear conflict with experimental reality, a problem that will be resolved with the help of subsystem density-functional theory. I will provide a detailed study from first-principles on the impact of strong light-matter coupling on plasmonic catalysis and energy-transfer in general. SCOPC adds a new facet to plasmonic catalysis and delivers vital extensions to first-principles QED.

Keywords: strong light matter coupling,first principles qed,plasmonics and hot carriers,density functional theory,plasmonic catalysis
Creating Legitimate Emission Factors for Verified GHG Emission Reductions in Transport (CLEVER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Coordination and support actions
Countries involved: Spain,Netherlands,Belgium,Germany,Italy,Greece,United Kingdom,France
Call: Future-proof GHG and environmental emissions factors for accounting emissions from transport and logistics operations (HORIZON-CL5-2023-D6-01, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 3102518.54
EU funding (EUR): 2592584.7
Participants: 11
Project status: SIGNED

CLEVER aims to overcome barriers by developing new harmonised GHG emission factors for transport sector (freight & passenger), encompassing uncovered categories, new and conventional fuels and production paths while taking up the full energy lifecycle (Well-To-Wheel/Wake), and providing clearer guides for calculating and accounting emission factors, covering GHG emissions (CO2eq) of the entire transport chain in all modes. CLEVER Framework ensures consistent calculation of new energy carriers, remaining effective as the industry evolves, and emission calculation method for accurate, quantified and accounted emissions, ensuring policy and business relevance. CLEVER applies multi-actor approach, engaging global stakeholders through a co-design, co-creation and co-assessment process. CLEVER reviews existing emission factors derived from global sources, aligned with scientific advances and gaps identification. The Framework is a concise guide, created upon recommended input parameters, fuel/energy specifications and assumptions. It ensures a) understanding and proper application of consequential and attributional methods, b) clear boundaries calculation to avoid biases, aligning data labels and values for consistent emission factors; and c) document how fuel-based emission factors feed into default emission intensities, considering operational parameters and integration in databases. The Framework contains a) new harmonised GHG emission factors; b) common rules for calculating climate impact and c) decision tree based on these rules. This guide helps stakeholders making informed GHG emissions calculations and mitigates conflicting approaches. The Framework undergoes validation in different industrial uses through personalised coaching. For enhancing market uptake regulatory engagement, certification, standardization (ISO14083 review) and training are planned. Greater consistency and reliability of GHG calculation leads to transport decarbonization supporting EU goals.

Keywords: greenhouse gas emissions ghg,emission factors,emission calculation,emission accounting,well to wheel wake
Personalised pharmacometabolomic optimisation of treatment for hypertension (Hypermarker)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Unlocking the full potential of new tools, technologies and digital solutions for a healthy society
Action type: Research and Innovation actions
Countries involved: Netherlands,United Kingdom,Germany,Spain,Belgium
Call: Optimising effectiveness in patients of existing prescription drugs for major diseases (except cancer) with the use of biomarkers (HORIZON-HLTH-2022-TOOL-11, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 8046250.0
EU funding (EUR): 8046250.0
Participants: 13
Project status: SIGNED

Hypertension, or high blood pressure (BP), is a serious medical condition, and the single biggest contributor to circulatory diseases which continue to dominate as the leading cause of death and morbidity across the EU. It accounts for almost 10 percent of all healthcare-related costs. Systolic hypertension leads to a broad variety of diseases with an immense impact on both patients and healthcare systems. HYPERMARKER will unleash the potential of pharmacometabolomics to provide a ‘smart’ prescription of antihypertensive therapy. Well-phenotyped cohorts from eleven European countries will provide metabolomic profiles and blood samples for pharmacometabolomic assessments to identify predictors of treatment response in hypertension using advanced AI and deep learning methods. Prediction models for individual treatment responses to antihypertensive medication will be clinically validated and refined through an innovative RCT across 4 sites in Europe. The result is a clinical decision support tool that will give clinicians the ability to make an informed selection of whether the patient they are treating will best respond to the use of angiotensin inhibition, calcium antagonists, beta-blockers, or a range of other existing drugs with evidence-based for BP control. To ensure sustainability, the project will also develop a framework for the uptake of this tool in routine care for patients with hypertension across Europe and beyond. HYPERMARKER will be implemented by a group of world-class scientists and clinicians from a diversity of disciplines who have collaborated multiple times and have a track record of leading key national and EU-funded initiatives to deliver high-impact results.

Keywords: pharmacometabolomics optimising treatment hypertension companion diagnostic development
Real-time imaging and photocatalysis mediated biodegradability of microplastics in a continuous flow system (RealIMP)

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: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Portugal
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-04, 2022)
Start date: 2024-03-01
End date: 2026-02-28
Duration (months): 24.0
Total project cost (EUR): 156778.56
EU funding (EUR): 156778.56
Participants: 1
Project status: SIGNED

The relevance of RealIMP lies in the need to develop and optimize sustainable technologies to remove contaminants of emerging concern, such as microplastics and organic micropollutants, from water, contributing to the access to cheap and clean water sources to large, urbanized centers and small rural communities. Solar light-driven photocatalysis has great potential to overcome this challenge due to the virtually zero cost of solar power, and the low cost and abundance of the well-established TiO2 photocatalyst. However, it remains limited to niche applications due to its low photonic efficiency and elevated costs. RealIMP will tackle these issues by using doped TiO2, tuned for the visible light of the solar spectrum, and pilot scale photoreactors adapted and optimized to real-life applications, using statistical Design of Experiments methods. Another innovation will be the development of ultrasonic acoustic sensors to detect the microplastics’ spatial distribution in both static and continuous-flow conditions and to assess their adsorption on the catalyst’s surface via geophysical inversion. The biodegradability of the microplastics after photocatalytic experiments will be assessed under simulated real conditions using a respirometer. To further simulate real conditions, the influence of the presence of organic micropollutants, such as antibiotics, including their adsorption on microplastics, will be investigated regarding microplastic's degradability. Empirical models of prediction for photocatalysis and biodegradability kinetic rates, energy consumption, and economic costs will be obtained. Besides providing cutting-edge technological and scientific results in this field, as well as interdisciplinary training to broaden my expertise, RealIMP will prioritize outreach activities to reduce the gap between academy, industry and the general public such as workshops, educational, and raising awareness campaigns.

Keywords: contaminants of emerging concern cec microplastics mp photocatalysis photoreactor design ultrasonic acoustic sensors water treatment