Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Sustainable techno-economic solutions for the agricultural value chain (AgroCycle)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Ireland,Spain,Germany,Spain,Italy,Spain,Ireland,Hong Kong,Belgium,Croatia,Belgium,Greece,China,Greece,Croatia,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Ensuring sustainable use of agricultural waste, co-products and by-products (H2020-WASTE-2015-two-stage, 2015)
Start date: 2016-06-01
End date: 2019-05-31
Duration (months): 36.0
Total project cost (EUR): 7650049.75
EU funding (EUR): 6960293.75
Participants: 27
Project status: CLOSED

Continuing population and consumption growth are driving global food demand, with agricultural activity increasing to keep pace. Europe has a major agricultural waste problem, generating some 700 million tonnes of waste annually. There is an urgent need and huge opportunity to address the efficient use of agricultural wastes, co-products and by-products (AWCB) towards delivering sustainable value chains in the farming and processing sectors. As such, AgroCycle will convert low value agricultural waste into highly valuable products, achieving a 10% increase in waste recycling and valorisation by 2020. This will be achieved by developing a detailed and holistic understanding of the waste streams and piloting a key number of waste utilisation/valorisation pathways. It will bring technologies and systems from ~TRL4 to ~TRL7 within the 3 years of the project. A post-project commercialisation plan will bring commercially promising technologies/systems to TRL8 and TRL9, ensuring AgroCycle will have an enduring impact by achieving sustainable use of AWCB both inside and outside the agricultural sector, leading to the realisation of a Circular Economy. AgroCycle addresses wastes from several agricultural sectors: wine, olive oil, horticulture, fruit, grassland, swine, dairy and poultry. The AgroCycle consortium is a large (25) multi-national group (including China) comprising the necessary and relevant multi-actors (i.e. researchers; companies in the technical, manufacturing, advisory, retail sectors (Large and SMEs); lead users; end users; and trade/producer associations) for achieving the project’s ambitions goals. Farming’s unique regional (rural) location means that AgroCycle will help reduce the EU’s Innovation Divide and address the Regional Smart Specialisation Strategies for each partner country: impact will be Regional with National and International dimensions. The presence of three partners from China ensures international synergies and a global impact.

Keywords: recycling,waste management,agriculture,co products,by products,waste,bioenergy,biofertilisers,sustainable farming,biocompounds,biorefinery,utilisation of agricultural waste
Regulatory networks of plant cell rearrangement during symbiont accommodation (RECEIVE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Germany
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-02-01
End date: 2024-07-31
Duration (months): 78.0
Total project cost (EUR): 1499625.0
EU funding (EUR): 506553.95
Participants: 2
Project status: SIGNED

Arbuscular mycorrhiza (AM) is an ancient plant-fungus symbiosis that is wide-spread in the plant kingdom. AM improves plant nutrition, stress resistance and general plant performance and thus represents a promising addition to sustainable agricultural practices. Mineral nutrients are released from the fungus to the plant at highly branched hyphal structures, the arbuscules, which form inside root cortex cells. Like the cells of other multicellular eukaryotes, plant cells show a remarkable developmental plasticity. Single cell re-differentiation is a fascinating process during arbuscule development, which can be conceptually separated into distinct stages controlled by the plant cell which precisely guide the step-wise formation of different parts of the arbuscule. It involves cell autonomous transcriptional reprogramming and subcellular remodelling, leading to repositioning of subcellular structures, cell polarization and multiplication of organelles. It is currently unknown how cell-autonomous reprogramming during arbuscule development is regulated. RECEIVE utilizes an integrated strategy combining transcriptional profiling, transcription factor identification, interaction network analysis with reverse genetics and cell biological techniques to understand the coordinated step-wise progression of arbuscule development. RECEIVE builds on the hypothesis that each stage of arbuscule development is accompanied by a stage-specific wave of gene expression and that transcriptional regulation is a key determinant of the developmental progress from stage to stage. The characterisation of these waves and the identification of the underlying transcriptional regulatory nodes is the focus of this project. RECEIVE aims to bridge a major knowledge gap about the molecular basis of one of the most important symbioses on earth.

Keywords: transcriptional regulation,root symbiosis,plant biology,arbuscular mycorrhiza,transient cell differentiation
A Novel BERberine derivative for Malignant MESothelioma (BERMES)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-11-01
End date: 2021-10-31
Duration (months): 36.0
Total project cost (EUR): 1550942.5
EU funding (EUR): 1085659.75
Participants: 1
Project status: SIGNED

Malignant Mesothelioma (MM) is a rare, aggressive and highly treatment-resistant malignancy arising in the thin layer of tissue known as mesothelium, which covers many of the important internal organs like the lungs, the peritoneal cavity, the heart and the testis. The World Health Organization has recognized that all forms of mesothelioma are strongly associated with asbestos exposure and that its burden is increasing worldwide. Asbestos was definitely banned in European Union in January 2005. However, since the disease has a long latency period (44.6 years from exposure to diagnosis), peak incidences are expected in EU beyond 2020. The standard first line treatment is the combination of pemetrexed and cisplatin with limited efficacy and side-effects. Despite a great deal of research has been undertaken during the last 10 years, none of the current drugs under clinical trials has shown yet an improvement in overall survival over existing standard therapy or solved the emergence of chemoresistance. NAX035, an innovative berberine derivative has exhibited efficacy as antitumour agent with a good preliminary pharmacokinetic, toxicity and safety data when administered as oral therapy for the treatment of malignant mesothelioma. Activities of BERMES (BERberine derivative for MESothelioma treatment are expected to close the translational gap (death valley) by pulling the product up to the clinical development: BERMES will focus on completion of the non-clinical package and the drug manufacture with the aim of obtaining the orphan drug designation as well as to accomplish all the regulatory requirements required by the European Medicine Agency to achieve the clinical trial authorization to proceed into clinical trial right after the end of the project.

Keywords: berberine,chemoresistance,drug development,rare disease,orphan drug,rna binding molecule
Smart Autonomous Multi Modal Sensors for Vital Signs Monitoring (SmartVista)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Ireland,Germany,Ireland,Sweden,France
Call: Electronic Smart Systems (ESS) (H2020-ICT-2018-2, 2018)
Start date: 2019-01-01
End date: 2022-06-30
Duration (months): 42.0
Total project cost (EUR): 4493760.0
EU funding (EUR): 4493759.0
Participants: 5
Project status: CLOSED

Cardiovascular diseases (CVD) remain the leading cause of mortality and a major cause of morbidity in Europe. Every year there are more than 6 million new cases of CVD in the EU and more than 11 million in Europe as a whole. With almost 49 million people living with the disease in the EU, the cost to the EU economies is €210 billion a year. There is a growing demand for a reliable cardiac monitoring system to catch the intermittent abnormalities and detect critical cardiac behaviours which, in extreme cases, can lead to sudden death. The objective of the Smart Autonomous Multi Modal Sensors for Vital Signs Monitoring (SmartVista) project is to develop and demonstrate a next generation, cost-effective, smart multimodal sensing platform to reduce incidences of sudden death caused by CVD. The key innovation in SmartVista is to integrate 1D/2D nanomaterials based sensors to monitor the heart, thermoelectric energy harvesters to extract energy from the body to power the system and printable battery systems to store this energy. Together these will result in a self-powered device that will autonomously monitor the electrocardiograph, respiratory flow, oxygen flow and temperature of the patient. This information will then be transmitted wirelessly for online health processing. This real-time self-powered monitoring of a patient’s health in this manner is not currently available so the technology that will be developed in SmartVista will position us at the forefront of digital health and wearable biosensor technology for wireless monitoring in hospitals and of remote patients, both of which are necessary in this era of an aging population. The SmartVista platform enables wireless, real-time, continuous patient monitoring and delivers a seamless feed of patient data and will contribute to the EU vision of an Internet of Things for healthcare.

Keywords: multi modal sensors,vital signs monitoring,thermoelectric energy harvester,3d printable battery
Neuromechanics of Insect Vision during Aerial Interactions with Applications in Visually Guided Systems (Vision-In-Flight)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2018-11-01
End date: 2023-10-31
Duration (months): 60.0
Total project cost (EUR): 1499968.0
EU funding (EUR): 1499968.0
Participants: 1
Project status: SIGNED

This project investigates how biological vision operates under the fastest and most challenging motion condition: flight. Specifically, we look beyond gaze stabilization and focus on directed gaze control such as object tracking. Flying insects are ideal model for studying vision in flight due to its relatively simple nervous system and the fixed optics of the compound eyes. Insect vision has elucidated fundamental circuitries of vision via psychophysics, electrophysiology, computational modelling, and connectomics. However, we have limited knowledge on how insects use vision in free flight and what visual signals influence motor control during aerial interactions. This study aims to reveal how flying insects direct their gaze in-flight to extract target information for guidance and to facilitate the execution of complex flight manoeuvres. To achieve this objective, we will advance three emerging techniques: 1) high-precision insect scale motion capture; 2) ultralight wireless neural telemetry; 3) virtual reality for freely flying insects. I was involved in developing the first two methods and they both still require significant development to suit this project. The third budded from a successful ERC project, which enabled virtual reality experiments with freely behaving animals, and also requires additional breakthrough in order to accommodate this project. By advancing these techniques together, we can fully control the visual input of a freely flying insect and simultaneously record relevant visual signals. While modern image sensors and image processing can sometimes surpass biological vision, machine vision systems today still cannot utilize some tactical benefits of directed gaze control. Indeed, learning how to look is one of the best lessons a visually guided system can take from biology. This research informs the control of autonomous systems such as self-driving cars, unmanned aerial taxi, and robotic courier which will revolutionize the upcoming era.

Keywords: insect vision
Leveraging the unique organismic approach to health and disease of the Champalimaud Foundation through the inception of a quantitative biomedicine research programme focused on cancer (QuantOCancer)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: ERA chairs
Theme: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Portugal
Call: ERA Chairs (H2020-WIDESPREAD-03-2017-ERAChairs, 2017)
Start date: 2018-10-01
End date: 2024-03-31
Duration (months): 66.0
Total project cost (EUR): 2776556.25
EU funding (EUR): 2498900.63
Participants: 1
Project status: SIGNED

The QuantOCancer project aims to attract and maintain an outstanding researcher and research manager to incept the quantitative biomedicine research programme focused on cancer at the Champalimaud Foundation (CF) that will allow consolidating and expanding CF’s internationally-leading position as a biomedical research excellence centre with a unique organismic approach to health and disease that smoothly integrates theoretical and experimental conceptual frameworks. The ERA Chair will: i) bring the needed critical mass to the recently created Biology of Systems and Metastasis research programme through the inception of a truly multidisciplinary and intersectoral research field; ii) effectively cement the CF Research Programme, by leveraging the installed research capacity in quantitative biomedicine; iii) root an effective bridge between research excellence and clinical practice at CF, through the creation of an innovative MD/PhD programme. The attractiveness of the CF as well as of the Lisbon region and the country will be fully unlocked through the implementation of an additional set of measures including: 1)institutional changes, aiming, among others, to further explore the installed R&T capacity; 2) capacity building activities, including the expansion of the advanced training opportunities to the postdoctoral community; and 3) intersectoral and international networking activities, open to external stakeholders, with a strong focus on the interface between EU and overseas opportunities. These will allow incepting and spreading a RRI culture in line with the ERA priorities as well as to endeavour EU and overseas collaborative efforts towards a truly open and international R&I global ecosystem. Trough QuantOCancer CF will boost its capacity to retain internationally competitive research funding in this way effectively contributing to the achievement of the regional and national smart specialisation goals and as such to reduce the EU disparities in R&I performance.

Keywords: quantitative biomedicine,organismic approach to health and disease,clinical cancer research,research excellence,innovation potential,advanced training,capacity building,rri and era priorities
Understanding and predicting developmental language abilities and disorders in multilingual Europe (PREDICTABLE)

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: Social Sciences and Humanities
Countries involved: Spain,Germany,Spain,Germany,Germany,Finland,Hungary,Finland,France,United States
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-03-01
End date: 2019-04-30
Duration (months): 50.0
Total project cost (EUR): 3848639.76
EU funding (EUR): 3848639.76
Participants: 15
Project status: CLOSED

PredictAble aims to train a new generation of young scientists at the crossroads between academic research, technological development in the private sector and clinical practice to pioneer an interdisciplinary approach to language related developmental disorders, like specific language impairment (SLI) and developmental dyslexia (DD). The innovative and timely research program will enhance the understanding of the cognitive mechanisms that underlie developmental disorders of spoken and written language by pooling international experts from academia and the private sector. For the first time, PredictAble applies a truly multidisciplinary and cross-linguistic perspective with a unique and novel combination of cutting-edge approaches and techniques for studying mono- and bilingual children. Thus, PredictAble will provide young researchers with an excellent foundation for making scientific progress in this area, in collaboration with technology development and the transfer of research outcomes to applicants in the private sector and the health sector/clinical practice. Highly recognized experts in the area of language acquisition in very young mono- and bilingual children will work together on the acquisition of spoken and written language in a cross-linguistic approach. The complementarity of the different languages in PredictAble will make it possible to identify language-specific and cross-linguistically valid effects. In cooperation with technological partners from the private sector, PredictAble will optimize recently developed technologies in the area of developmental cognitive neuroscience to render them suitable for use with very young children and as diagnostic tools to detect early risks for language-related impairments.

Keywords: bilinguals,specific language impairment,developmental dyslexia,prediction,nirs,eye tracking,ultrasound imaging
Bimanual Manipulation of Rigid and Deformable Objects (BIRD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Sweden
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 2424186.25
EU funding (EUR): 2424186.0
Participants: 1
Project status: SIGNED

All day long, our fingers touch, grasp and move objects in various media such as air, water, oil. We do this almost effortlessly - it feels like we do not spend time planning and reflecting over what our hands and fingers do or how the continuous integration of various sensory modalities such as vision, touch, proprioception, hearing help us to outperform any other biological system in the variety of the interaction tasks that we can execute. Largely overlooked, and perhaps most fascinating is the ease with which we perform these interactions resulting in a belief that these are also easy to accomplish in artificial systems such as robots. However, there are still no robots that can easily hand-wash dishes, button a shirt or peel a potato. Our claim is that this is fundamentally a problem of appropriate representation or parameterization. When interacting with objects, the robot needs to consider geometric, topological, and physical properties of objects. This can be done either explicitly, by modeling and representing these properties, or implicitly, by learning them from data. The main scientific objective of this project is to create new informative and compact representations of deformable objects that incorporate both analytical and learning-based approaches and encode geometric, topological, and physical information about the robot, the object, and the environment. We will do this in the context of challenging multimodal, bimanual object interaction tasks. The focus will be on physical interaction with deformable objects using multimodal feedback. To meet these objectives, we will use theoretical and computational methods together with rigorous experimental evaluation to model skilled sensorimotor behavior in bimanual robot systems.
A Productive, Affordable and Reliable solution for large scale manufacturing of metallic components by combining laser-based ADDItive and Subtractive processes with high Efficiency (PARADDISE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Spain,Germany,Germany,Spain,Norway,France
Call: Photonics Laser-based production (H2020-FOF-2016, 2016)
Start date: 2016-10-01
End date: 2020-11-30
Duration (months): 50.0
Total project cost (EUR): 3761402.5
EU funding (EUR): 3761402.25
Participants: 8
Project status: CLOSED

The overall objective of PARADDISE project is to rationalize, to structure and to make available to the stakeholders of manufacturing value chain the knowledge and the tools for combining two antithetical processes: Laser Metal Deposition (LMD) and Machining (milling and turning). The project will develop expert CAx technologies, smart components and monitoring and control systems tailored for the hybrid process in a cost-effective way and with structured knowledge about LMD process. The PARADDISE solution will offer a synergetic combination among: i) the high flexibility for the designs and for the materials to be used, the high material efficiency and the high savings in material resources and its associated costs of the LMD operations; and ii) the high accuracy, the high robustness and the high productivity of subtractive operations. The solution will be integrated in the ‘ZVH45/1600 Add+Process’ hybrid machine from IBARMIA manufacturer (PARADDISE partner), which is already available in the market as well as at TECNALIA’s facilities (PARADDISE coordinator). Thus, the PARADDISE project will conceive a process-machine-tools solution. By means of this combined manufacturing process, large scale manufacturers of value-added metallic components will be able to achieve high quality and high productivity with a minimum use of material and energy resources when manufacturing those parts, which will lead to a reduction in manufacturing costs. In that way, the PARADDISE project intends to boost and to spread the use of Laser Metal Deposition (LMD) technology along the life cycle of value-adding metal components.

Keywords: additive,subtractive,machining,hybrid,laser