Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Synaptome architecture of the single neuron (SYNAPTOME)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2021-08-01
End date: 2025-07-31
Duration (months): 48.0
Total project cost (EUR): 1738561.0
EU funding (EUR): 1738561.0
Participants: 1
Project status: SIGNED

Synapses participate in all our thoughts and actions and are damaged in over 100 genetic brain disorders. Synapses are the hallmark of brain complexity, being present in vast numbers and containing thousands of different proteins. Unravelling this complexity to get at the functional logic embedded within is a major challenge in neuroscience. We recently characterised excitatory synapse molecular diversity across the whole mammalian brain, revealing a remarkable 3D organisation of synapse types across the different regions – the ‘synaptome architecture’. This architecture is reorganised in genetic diseases, is important in structural and functional connectivity across the brain, and provides a mechanism for the storage and recall of information. But what of the fundamental, functional cellular building block of this architecture – the single neuron and its dendritic tree? Crucially, very little is known about the distribution of synapse types on individual neurons and what this actually means for brain function. The overarching goal of SYNAPTOME is to define single-neuron synaptome architecture (SNSA). We will develop new genetic labelling and computational approaches to systematically map SNSA in the mouse brain. We will identify the SNSA of specific functional types of neurons and determine whether neurons share a canonical SNSA. We will reveal how the SNSA is built during development and how it is relevant to the connections between neurons and their physiological properties and functional output. We will ask if the SNSA can direct us to the specific synapses damaged in genetic disorders. These studies will uncover fundamental design principles inherent in the building blocks of the brain that link genome, proteome and synaptome with the architecture and function of individual neurons and their organisation into brain-wide networks. The new tools, resources and knowledge that SYNAPTOME will bring will have wide application in neuroscience and disease research.

Keywords: synapse,neuron,anatomy,image analysis,synaptome
Personnel Location and Tracking for Safety, Security and Protection (PROTECT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-12-01
End date: 2020-11-30
Duration (months): 24.0
Total project cost (EUR): 944693.75
EU funding (EUR): 661285.0
Participants: 1
Project status: CLOSED

The global indoor location market is expected to grow 23.13 Billion USD by 2021, at a Compound Annual Growth Rate of 37.4%. Although attractive, in the market there is a sound evidence of a still unsatisfied offer of a location system in GPS-denied environments for safety, security and protection for time/risk-critical operations. DUNE introduces PROTECT (4 patents filed): a new, autonomous, infrastructure-free, wearable tracking system for GPS-denied environments. Major PROTECT advantages w.r.t. competitors: no need of ad-hoc deployed infrastructures, floorplans, calibrations and pocketsize. The three major guidelines of PROTECT are: 1) value proposition: provide a high perceived value for the customers by a localisation system: a. generating advantages (performance): location accuracy for both real-time, time-critical operations and post survey analysis (e.g. inspectors of nuclear plants); b. decreasing difficulties (suitability): infrastructure-free and 'switch and forget' system, suitable for the operations in real scenarios, so to be acceptable by the end-users with zero impact on their practices; 2) affordability: make the system affordable, with a business plan ranging from SaaS to licensing, always keeping the unitary cost below the expenditures capabilities of the clients, also minimising their OPEX; 3) profitability: make the system profitable, by adopting a modular/layered approach, so to accommodate a large ensemble of requirements, coming from different customers, thus minimising the CAPEX on our side. The main goals of the project are: a) acquire a leading position in the localisation market for first responders and CIs; b) a turnover of 24 M€ within the end of the 3rd year; c) the break-even for commercialisation at end of the 1st year; d) an increase of qualified personnel in DUNE of approx. 76%, with an average gross wage of 45.000 €/yr; e) increase of the business for the SMEs involved by DUNE in the industrial/marketing process.

Keywords: safety,security,critical infrastructures,protection,tracking,indoor localisation,first responders,firefighters,inertial navigation,survey,power plants
The Roots of Infection (RINFEC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Denmark
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Plant roots and soil microbes have been associated since the emergence of plants on land. Nevertheless the mechanisms that have coevolved to control these commensal and mutualistic associations are currently unknown. RINFEC will identify both plant and bacterial genes involved in root colonization by commensal and mutualistic bacteria with an approach that would be transformative in the field. The ambitious challenge is to identify and functionally characterize the central genes controlling root cells competence for infection. RINFEC´s central hypothesis is that key components of ancient pathways for bacterial colonization of the root surface (rhizosphere) and root interior (endosphere) were adapted during evolution of mechanism(s) controlling colonization of legume roots by symbiotic rhizobia. RINFEC will uncover the genetics and biochemistry of these shared mechanisms by characterizing a novel, unexplored intercellular infection mode observed for certain rhizobia that act as endophytes in non-legume plants and are able to infect the model legume Lotus japonicus. The unique biological feature exploited in RINFEC is the capacity of Lotus to support either intercellular entry (conserved mode) or legume specific infection thread entry, dependent on the rhizobia encountered. This allows comparative investigations of these two infection modes in simple binary interactions with the same host. Given the exceptional ability of different rhizobia for intercellular endophytic colonization of non-legume roots this provides an unprecedented platform to identify mechanisms by which plants selectively enable a subset of bacteria to infect roots. RINFEC will build on my considerable expertise with Lotus and pioneers novel plant and bacterial genetic methods, cell-layer transcriptomics, phospho-proteomics and advanced biochemistry to break new ground in understanding infection and soil microbe influences on plant performance under environmental stress conditions.

Keywords: rhizobial infection of roots and nodules,intercellular infection mechanisms,legume genetics,plant microbe interactions,endophyte colonization of roots
Galileo Enhanced Solution for Pest Detection and Control in Greenhouse Fields with Autonomous Service Robots (GREENPATROL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Innovation actions
Countries involved: Spain,Spain,Spain,Czechia,Netherlands,United Kingdom
Call: EGNSS professional applications (H2020-GALILEO-GSA-2017-1, 2017)
Start date: 2017-11-01
End date: 2020-09-30
Duration (months): 35.0
Total project cost (EUR): 2414258.75
EU funding (EUR): 2058795.5
Participants: 6
Project status: CLOSED

European agriculture is facing numerous challenges such as population growth, climate change, resource shortages or increased competition. Besides, the area of land available for agriculture is declining, rural areas become depopulated and farming population is aging. Today’s challenge is to produce “more with less”. Greenhouses protect crops from adverse weather conditions allowing year-round production. Integrated crop management approaches provide better control over pests and diseases. However, the intensification of greenhouse crop production creates favorable conditions for devastating infestation that can cost a 25% of the potential income. Greenhouse crop production is growing throughout the world, generating 46,377€/ha across Europe. GreenPatrol aims at developing an innovative and efficient robotic solution for Integrated Pest Management in crops, which has the ability to navigate inside greenhouses while performing early pest detection and control tasks in an autonomous way. Main developments will be focused on: - Precise positioning to provide accurate and detailed pest maps in greenhouses (light indoor environments) - Perception with visual sensing for on-line pest detection, including reasoning mechanisms for efficient action selection - Strategies for manipulation and motion planning based on pest monitoring feedback. Galileo capabilities are considered a fundamental technology for the proposed solution as it provides better performance against the multipath and signal degradation present in greenhouses. GreenPatrol will achieve a remarkable reduction of production losses and chemicals usage, as well as an increase in quality and competitiveness, leading to more sustainable farming and enhanced food safety and soil and water protection. The project includes a validation stage where the prototype will be tested in real environment to reach TRL7. GreenPatrol will be commercially exploited. Its business plan shows profits starting in year 3.

Keywords: hybrid navigation,greenhouse,ipm integrated pest management
Healthy lifespan inequality: Measurement, trends and determinants (HEALIN)

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: Spain
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-05-01
End date: 2025-04-30
Duration (months): 60.0
Total project cost (EUR): 1448125.0
EU funding (EUR): 1448125.0
Participants: 1
Project status: SIGNED

Despite its widespread use and popularity, life expectancy (LE) has two shortcomings. First, its definition only takes into consideration mortality levels, thus ignoring the health status of those who remain alive. Second, LE is an average that does not explain how length of life is distributed across the population. These limitations have generated two strands of research (i.e. the study of ‘health expectancies’ (HE) and ‘lifespan inequality’ (LI)) that, so far, have developed independently from each other. The overarching objective of the HEALIN project is to bring together these research avenues into a coherent whole to get a more comprehensive understanding of contemporary population health dynamics. To attain this goal, I put forward the new concept of ‘healthy lifespan inequality’ (HLI), which is designed to investigate the extent to which healthy lifespans are unequally distributed across the population. The HEALIN project will (i) investigate the trends and determinants of HLI, (ii) assess whether the specific ages and causes that drive changes in HLI are the same ones determining the changes in LE, HE and LI indicators, and (iii) investigate how these indicators behave across and within countries and socio-economic groups. In addition, the project aims at making innovative contributions to the measurement of co-morbidity and to our understanding on how the latter can in turn influence the measurement of health expectancy and healthy lifespan inequality. To attain these objectives, the project will develop path-breaking analytical methods inspired in the models applied for the study of inequality and multidimensional poverty. Besides traditional socio-economic and health data sources, the project will complementary draw from the vastly underutilized health registers for the entire population in Catalonia (7.5 million residents). Their huge size and micro-level design allow investigating trends in HLI and co-morbidity with unprecedented detail.

Keywords: life expectancy,health expectancy,lifespan inequality
Measuring and Understanding Mortality, its Exposures, and its Determinants in developing countries (MU-MED)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Records of births, deaths, and people alive are some of the most important statistics that are collected and analysed by states and societies. In many developing countries, however, these records are deficient. These limitations constrain public policy, health responses, and scientific knowledge. The research project I propose, MU-MED (Measuring and Understanding Mortality, its Exposures, and its Determinants in developing countries) aims to radically improve the measurement and understanding of population health in low and middle-income countries. Contributing to the monitoring and achievement of the global Sustainable Development Goals, the project develops novel methods to measure mortality in developing countries and examine its determinants. Focusing on India in this project, I will estimate mortality rates, life expectancies, and standard errors of life table quantities at all ages from sample surveys and civil registration systems. Additionally, I will examine social determinants of mortality, calculating the first set of life expectancies by slum residence; caste, religion, and social group; and social class, as measured by household wealth and occupational categories. Finally, I will examine the impact of environmental exposures such as heat and humidity, floods, and air pollution on mortality. Together, the scientific papers from this proposal will improve scientific understanding of the level, trends, and determinants of mortality in developing countries. Because the research outlined here focuses on improving measurement of mortality, it will be of value to the wider research and global policy community. The research will inform public policy and public discussion within developing countries, as well as in global organizations such as the UN and the WHO, by suggesting intervention priorities for health improvements in developing countries. It will also help countries, researchers, and organizations assess the impact of health interventions.

Keywords: mortality,health,vital registration,health gradients,environmental determinants of health
PhotoCloth: A framework to synthesize real-time photorealistic cloth animation from video input. (PhotoCloth)

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: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Computer Graphics is the area of computer science that studies methods for digitally synthesizing and animating visual content. Among all the potential contexts where computer graphics techniques can be used, cloth animation is a particularly interesting case since, in the real world, clothing is far more than just the physical objects that we wear; clothing is a key element to show someone’s expressiveness and motion, it even defines his or her identity. However, cloth animation is a complex and extremely high-dimensional problem. To digitally synthesize cloth animation, a large number of properties that affect the way cloth behaves need to be estimated: textures, deformations, collisions, materials, illumination, etc. Current approaches for cloth animation tried to overcome this challenging problem following two main trends: image-based methods use captured data to construct a low-dimensional model to digitally synthesize new animations, however they can only sample a small portion of the high-dimensional space of cloth and poses; the physics-based methods aim to simulate cloth only using mathematical equations that express physics laws, however, they are computationally expensive and have trouble replicating real-world behavior. This fellowship will investigate a new model for cloth simulation that combines a physical-based method with image-based infomation to generate real-time believable cloth animation. The new model will use a multi-scale framework to handle the dynamic geometry and appearance at different levels of detail. The most salient dynamic geometric properties of the animation will be handled by a low-resolution representation of the cloth using a physics-based model, which reduces the high-dimensionality of the pose space to a lower-dimensional subspace. Mid- and fine-scale details such as shading, wrinkles and appearance will be incorporated by an image-based approach, using the input imagery to learn to predict those properties.

Keywords: computer animation,cloth animation,image based animation,physically based simulation
Assessment and mitigation of liquefaction potential across Europe: a holistic approach to protect structures / infrastructures for improved resilience to earthquake-induced liquefaction disasters (LIQUEFACT)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Italy,Italy,Italy,Türkiye,Slovenia,Norway,Portugal,United Kingdom
Call: Critical Infrastructure Protection topic 2: Demonstration activity on tools for adapting building and infrastructure standards and design methodologies in vulnerable locations in the case of natural or man-originated catastrophes (H2020-DRS-2015, 2015)
Start date: 2016-05-01
End date: 2019-10-31
Duration (months): 42.0
Total project cost (EUR): 4944072.5
EU funding (EUR): 4944072.5
Participants: 14
Project status: CLOSED

Over the past decade, earthquakes proved to be the deadliest of all European disasters, with almost 19,000 fatalities and direct economic losses of approx. €29 billion. Earthquake Induced Liquefaction Disasters (EILDs) is responsible for tremendous amounts of the structural damages and fatalities; with experiences from recent events giving example of where approx. half of the economic loss was directly caused by liquefaction. Liquefaction is a phenomenon, with previously a low profile until recent earthquake events, in which the stiffness and strength of soil is reduced by seismic activity. With the causes of Liquefaction being known, it is important to recognize the factors that contribute to its occurrence; as well as the resulting hazards. The theory on how to address the subject has been comprehensive, as well as the engineering to reduce its consequences of liquefaction already developed; however, recent findings and advances need to be accurately examined in order to implement mitigation strategies practically. A systematic approach is needed for assessing the possibility of liquefaction on a site, prior to construction, then implementing the most appropriate liquefaction mitigation techniques. However, the variability of circumstances, invariably translates to multiple approaches of implementation, based on the susceptibility of the location to liquefaction, as well as the type and size of structure. The LIQUEFACT project addresses the mitigation of risks to EILD events in European communities with a holistic approach. The project not only deals with the resistance of structures to EILD events, but also, the resilience of the collective urban community in relation to their quick recovery from an occurrence. The LIQUEFACT project sets out to achieve a more comprehensive understanding of EILDs, the applications of the mitigation techniques, and the development of more appropriate techniques tailored to each specific scenario, for both Europe and global.

Keywords: earthquake induced liquefaction disasters,urban community resilience,liquefaction mitigation,ground improvement techniques