Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Luminescent Polymer Nanoparticles with Aza-BODIPYs, Porphyrins and their Metal Complexes for FRET Mediated Ratiometric Oxygen Sensing (NanoOxySens)

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: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-05-15
End date: 2019-05-14
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

This proposed Fellowship brings together an Experienced Researcher from India with expertise in the synthesis of photosensitizers and their photophysical characterization, tuning the excited-state properties, investigation of their photophysics and photobiology with an internationally recognized Host Laboratory in France with expertise in designing fluorescent molecular and nanoparticle probes for bioimaging. This project will provide (i) interdisciplinary training of highest quality to become an outstanding scientist with excellent publication record; (ii) enhance European excellence in organic synthesis, nanosciences and biophotonics. The aim of the research project is to obtain ratiometric probes for molecular oxygen based on biodegradable polymeric nanoparticles (NPs) bearing far-red/near-infrared absorbing triplet sensitizers such as aza-BODIPYs, porphyrins and corresponding metal complexes. The project involves the synthesis of phosphorescent dyes (aza-BODIPY/porphyrins) and formulation of polymeric NPs encapsulating these dyes. The development of ultra-bright polymer nanoparticles, an innovative method recently discovered in the Host Laboratory, will enable the development of novel dual emissive polymeric NPs with the triplet sensitizers. In our design, fluorescent NPs excite triplet sensitizers through energy transfer (FRET), resulting in dual emission: fluorescence of NPs and phosphoresce of the sensitizer. Only phosphorescence of FRET acceptor is sensitive to molecular oxygen (3O2), which provides the mechanism of dual colour ratiometric response to oxygen. The approach will be further validated in solutions and in living cells. The obtained nanoprobes for oxygen will be applied to living cell and (in collaboration) to whole animals. It is our strong conviction that the possibilities of this multidisciplinary chemistry are enormous, and the end result will be the development of a simple nano-device for molecular oxygen build from biodegradable materials.

Keywords: polymeric nanoparticles,triplet sensitizers,fret,molecular oxygen,ratiometric detection
Palliative care in Parkinson’s disease (PD_Pal)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Estonia,Austria,Germany,Italy,Italy,Greece,Netherlands,United Kingdom,United Kingdom
Call: Novel patient-centred approaches for survivorship, palliation and/or end-of-life care (H2020-SC1-2018-Single-Stage-RTD, 2018)
Start date: 2019-01-01
End date: 2022-12-31
Duration (months): 48.0
Total project cost (EUR): 3995437.5
EU funding (EUR): 3995437.5
Participants: 11
Project status: CLOSED

Parkinson’s Disease (PD) is the second most common neurodegenerative disorder and is characterized in its advanced stages by motor and non-motor complications causing progressive loss of autonomy in activities of daily living, poor quality of life, marked caregiver distress, and high utilization of medical services. Similar to cancer patients, albeit for much longer duration, PD patients have considerable (and mounting) unmet physical, psychosocial and spiritual needs, and experience great problems with continuity of care. The overall ambition of PD_Pal is to validate a new model of palliative care which would be easily integrated with traditional management when disability limits mobility and independence. PD_Pal will provide an added layer of support to patients, their loved ones, and treating clinicians. PD_Pal randomised controlled trial will provide evidence on the effectiveness of specialized, multidisciplinary, outpatient palliative care intervention (Advance Care Planning) in improving family satisfaction, symptom management and quality of life. PD_Pal will also further prove the feasibility and economic sustainability of this approach by the active involvement of patients lay associations as well relevant medical societies. PD_Pal team includes leading experts in both neurology and palliative care with key-roles in both national and international PD working groups. PD_Pal will develop a new set of evidence-based Guidelines and a Massive Online Course (MOOC) for Palliative Care in PD involving in the process experts from the European Association for Palliative Care, the European Academy of Neurology and the Movement Disorders Society. Thus, PD_Pal is best positioned to transfer this knowledge to all European countries and ensure that “PD_Pal Guidelines” will translate into best practice. The PD_Pal MOOC “Best Care for People with Late Stage Parkinson” will be integrated into the WHO supported interdisciplinary post-graduate palliative care curriculum.
Advanced System for Foreign Object Debris and Bird-Aircraft Strike Avoidance (FODBASA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Aeronautic sector is increasingly facing various safety threats to passengers, crews and aircraft caused by foreign object debris (FOD) as well as birds and the growing number of drones on runways and surrounding airport areas. Given the high impact of potential accidents and incidents – damage to aircraft and potential loss of lives – there is a continuous adoption of best practices and technologies to mitigate the risks. Today, most airports rely on periodic vehicle patrols for runway inspections, but such procedures have several limitations. Then, alternative technological approaches are expensive and only detect FOD. Thus, today’s approaches have not been effective, and aviation sector experiences costs that are estimated in +$13 billion/year due to FOD and bird-aircraft strikes. MS3E aims to seize a major market opportunity, offering an innovative solution – the FODBASA. FODBASA has been specifically developed to overcome limitations of existing technologies and to meet the high demand for safety solutions for the aeronautic industry. FODBASA is an autonomous radar-sensor-based system designed for simultaneous detection of FOD, birds and drones. There are no similar solutions in the market. Its unique capabilities come from our innovative and proprietary high-frequency radar sensor that has been successfully developed for military applications and was validated by Danish Defence. Thus, our system allows to provide accurate real-time FOD detection and real-time threat alert for both birds and drones on runways and within a 10-km radius of the airport. Finally, FODBASA is a cost-efficient solution, triggering an attractive business case for any airport serving more than 2.5 million passengers/year. FODBASA will represent the best technology available and a technological breakthrough with high potential to drive the regulatory framework in the sector. FODBASA is expected to generate €74 million in revenue and €33 million in gross profit, in 5-years post-project.
Hybrid Urban Modernities (Hybridities)

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: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-04
End date: 2024-06-08
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

The theory of urban space in cities widely referred to as Middle East-North African has been grounded on a spatial dichotomy shaped by the binary opposition of tradition and modernity. This attitude has dominated urban studies, design practices, and policymaking. Literature which challenges this domination has been largely marginalised. To dislocate this marginalised discourse into the core of the global urban theory debate, this project uses the concept of space ordering and its two constituent themes of privacy and interiority to articulate an alternative, temporally and locally hybrid, theory of urban space which builds on the empirical evidence from the actual urban life in two cities of Casablanca and Tehran. The research employs a methodological bricolage approach to address its interdisciplinary nature. It utilises critical discourse analysis to investigate global debates on the spatial dichotomy of interior/exterior-public/private, and de-construct their manifestation in the (re)production of urban space in two case study cities of Tehran and Casablanca. It then develops a place-specific framework for empirical study of space ordering in two realms of materiality and everyday practices using a wide range of advanced methods. This framework will be applied to four case study neighbourhoods through intensive empirical fieldwork to explore whether and to what extent historical spatial logics are materially and socio-culturally (re)produced and practiced in the contemporary urban space. The findings will be synthesised to formulate an alternative theory of space ordering for the MENA cities which is hybrid, place-specific, and empirically-informed. Policy and planning implications will be incorporated into two Policy Handbook documents for Tehran and Casablanca. Finally, using recent achievements in digital ethnography, the project will create a visual commentary on the indigenous modernities and local narratives of space ordering in case study cities.

Keywords: modernity,urban space,space ordering,urban theory,urban policy,casablanca,tehran
Distributed Artificial Intelligent Systems (DAIS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Research and Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Germany,Germany,Spain,Spain,Germany,Germany,Spain,Spain,Spain,Germany,Germany,Germany,Sweden,Türkiye,Türkiye,Slovenia,Sweden,Slovenia,Norway,Belgium,Sweden,Sweden,Belgium,Sweden,Czechia,Czechia,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,Denmark,Portugal,Denmark,Portugal,Portugal
Call: ECSEL-2020-2-RIA (H2020-ECSEL-2020-2-RIA-two-stage, 2020)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 32726240.0
EU funding (EUR): 9811063.94
Participants: 49
Project status: SIGNED

The use of artificial intelligence (AI) in Edge computing is entering a new era based on the use of ubiquitous small and connected devices. Until now, Europe has not been doing well, as America sets the standards and most components are produced in Asia or America. This project believes doing better is realized by (1) Putting European values of self-organization, privacy by design and low use of energy in the core of the Edge Computing components that shape this new era, and delivering the technology needed to promote these values; (2) Focusing on pan European cooperation to ramp up the capabilities needed to deliver these new components at a scale that can make a real impact. Europe does not have huge IT leaders so cooperation from a very early phase is key. All partners in the project participate in delivering key parts of these new Edge Computing components; and (3) Demonstrating the use of these components in key European industrial areas. Clear and early examples are needed to un-lock corporate and external funding to deliver on the promise of this very exciting project. The DAIS project will research and deliver distributed artificial intelligent systems. It will not research new algorithms, as such, but solves the problems of running existing algorithms on these vastly distributed edge devices that are designed based on the above three European core values. The research and innovation activities are organized around eight complementary and mutually supportive supply chains. Five of these focus on delivering the hardware and software that is needed to run industrial-grade AI on different types of networking topologies. Three of the supply chains demonstrate how known AI challenges, from different functional areas, are met by this pan European effort. The DAIS project consists of 48 parties from 11 different countries. The DAIS project fosters cooperation between large and leading industrial players from different domains.

Keywords: interoperability,artificial intelligence,trustability,trustable ai,connectivity,security,reliability,safety,cross domain,use cases,reusability,computing,storage
Innovative technological, organisational and social solutions for FAIRer dairy and fruit and vegetable value CHAINs (FAIRCHAIN)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Innovation actions
Countries involved: Italy,Austria,Germany,Austria,Belgium,Sweden,Switzerland,Belgium,Belgium,Switzerland,Sweden,Switzerland,Greece,Greece,France,France,France,France,France,France
Call: Innovative agri-food value chains: boosting sustainability-oriented competitiveness (H2020-RUR-2020-1, 2020)
Start date: 2020-11-01
End date: 2024-10-31
Duration (months): 48.0
Total project cost (EUR): 7808227.5
EU funding (EUR): 6996636.0
Participants: 28
Project status: SIGNED

FAIRCHAIN addresses the growing need for a significant transformation of current food systems by developing competitive intermediate food chain alternatives adapted to small and mid-sized actors. FAIRCHAIN specifically aims to: -Foster the emergence of innovative intermediate food value chains that support the scaling-up of small and mid-sized actors facing unsustainable conventional dominant agri-food system. This requires to specific technological, organisational and social innovations as well as regulatory and policy adaptations to widely deliver food in a fair and sustainable way. -Inspire and encourage larger actors to down-scale conventional food value chains and better address the growing need of consumers to consume local high quality and safe products. The emergence of intermediate food value chains should put pressure on dominant actors, forcing them to align with best practices in terms of offering opportunities to local suppliers and ensuring an equitable distribution of costs and benefits. The main goal of FAIRCHAIN is to test, pilot and demonstrate recently developed technological, organisational and social innovations, realising a shift up to TRL7 and enabling small and mid-sized actors to scale-up and expand the production of affordable nutritious food in competitive intermediate food value chains. FAIRCHAIN will address the dairy and fruit&vegetable sectors, which hold a strategic economic position in Europe. Both are prone to integrate a large variety of innovations, correspond to an increasing consumer demand for nutritious and healthy food and need to meet the challenge of sustainably delivering perishable commodities to consumers. FAIRCHAIN will consider the entire value chain. More focus is given to postharvest steps rather than the production step in itself because the power imbalances created in market relationships are mainly attributed to the increasing concentration in the processing and retail sectors in conventional food supply chains

Keywords: intermediate value chains,agri food,scaling up,innovative solutions,dairy,fruits and vegetables
Stimuli Responsive Materials for the Rapid Detection and Treatment of Healthcare Associated Infections (STIMULUS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,Germany,Germany,Austria,Türkiye,Netherlands,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2020-10-01
End date: 2025-03-31
Duration (months): 54.0
Total project cost (EUR): 3956398.56
EU funding (EUR): 3956398.56
Participants: 9
Project status: SIGNED

Healthcare Associated Infections (HAIs) are bacterial infections obtained as a result of clinical treatment e.g. following medical intervention. HAIs are a problem of tremendous proportion as more than 4 million EC citizens get infected annually. The ECDC estimates 147,000 HAI-related deaths in Europe each year, a large part stemming from wound infections. These alarming facts motivate the urgent need to develop novel medical devices, in particular wound dressings, which rapidly signal and prevent or eradicate invasive bacterial colonization following a stimulus. Current antimicrobial coatings rely on slow, passive diffusion of antimicrobials, hence the antimicrobial may not be sufficiently concentrated to eradicate the infection; such low concentration zones promote evolution of resistance. To tackle these challenges in healthcare in light of an increasingly aging population and unprecedented antibiotic resistance levels, there is an urgent need for dedicated research leaders in industry and academia. These scientists of the future still will need primary training in, e.g., chemistry or microbiology, but they will have to operate at the interface between disciplines. Future materials chemists will need to perform microbiology experiments and to appreciate the engineering required to translate a lab invention to a production prototype. They have to understand the societal, business and regulatory environment around new medical device development. The research focus of STIMULUS is on wound infections. The objectives are: 1) Diagnostic: To create materials that clearly and rapidly signal when infection is present; 2) Therapeutic: triggered release of antimicrobials to treat the infection; 3) Translational and theranostic: integration of responsive materials into prototype wound dressings. Integrated with this research, we will create a lasting and comprehensive training programme for ESRs, making them suitable for leading research on theranostic medical devices.

Keywords: wound care,infection,stimulated release,responsive material,theranostic,hydrogel,wound dressing,biofilm,antibacterial,capsule,coating,drug release,nanoparticle,antimicrobial peptide
Shape Understanding: On the Perception of Growth, Form and Process (SHAPE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-08-01
End date: 2022-01-31
Duration (months): 66.0
Total project cost (EUR): 1950725.0
EU funding (EUR): 1950725.0
Participants: 1
Project status: CLOSED

Whenever we look at an object, we can effortlessly infer many of its physical and functional properties from its shape and our previous experience with other objects. We can judge whether it is flexible or fragile; stable or likely to tumble; what might have happened to it in the past (e.g. a crushed can or bitten apple); and can even imagine how other members of the same object class might look. These high-level inferences are evidence of sophisticated visual and cognitive processes that derive behaviorally significant information about objects from their 3D shape—a process we call 'Shape Understanding'. Despite its obvious importance to everyday life, practically nothing is known about how the brain uses shape to infer the properties, origin or behavior of objects. The goal of this project is to develop a radically new interdisciplinary field to uncover how the brain 'makes sense of shape'. We suggest that when we view novel objects, the brain uses perceptual organization mechanisms to infer a primitive 'generative model' describing the processes that gave the shape its key characteristics. We seek to identify the psychological and computational processes that enable the brain to parse and interpret shape this way. To achieve this, we unite ideas and methods from surface perception, morphogenesis, geometry, computer graphics, naïve physics and concept learning. We will simulate physical processes that create and modify 3D forms (e.g. biological growth, fluid flow, ductile fracture). We will use the resulting shapes as stimuli in experiments in which observers must identify key shape features, recognize transformations that have been applied to shapes, or predict the likely shape of other exemplars from the same object class. We will then model subjects' performance by geometrically analyzing shapes to find cues to the underlying shape-forming processes. These cues will be combined to infer generative models using inference techniques from machine learning.

Keywords: perception,vision,surface perception,material perception,perceptual organization,gestalt,grouping,categorization,concepts,computer graphics,procedural geometry,shape similarity metrics