Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Linking genotype to phenotype - Role of diet on sex-specific reproduction (DIET-SEX-GENOMICS)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-07-01
End date: 2018-06-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Males and females perform different reproductive roles and have adapted to these by evolving sometimes strikingly different phenotypes. A key means to observe and understand differences is to examine metabolism, with studies being able to link differences in diet composition to varying levels of phenotypes. In spite of the clear dimorphism observed across the animal kingdom, both sexes are locked into a struggle over adaptation, rooted in the fact that both sexes share an almost identical genome. Here, I propose to combine high-throughput phenotypic approaches (including quantitative genetic tools), with cutting-edge genome expression data to identify genes and genetic pathways that are involved in metabolic conflict. My first aim is to explore whether males and females differ in dietary preference using Drosophila melanogaster as a model organism. I will establish the extent to which genetic correlations between male and female food preferences constrain the evolution of optimal diet choice. Consequently, my second aim is to identify genes and/or genetic pathways that are responsible for differences in diet preference, and limit the dietary adaptation. Finally, I will use state-of-the-art genetic manipulations to enhance/suppress parts of the genetic pathways involved in metabolism, and will examine if these genetic modifications bring sex-specific consequences to the physiology of the organism. Understanding the genetic basis for sex differences in metabolism will aid to build complete understanding of the differences between males and females at the cellular level and provide insight into dietary and metabolic influences as well as aid human health research.

Keywords: sexual dimorphism,sexual conflict,diet,reproduction
Enhancing FIWARE collaboration between Europe and Mexico (FIWARE Mexico)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Countries involved: Spain,Italy,Switzerland,Mexico
Call: MEXICO: Collaboration on ICT (H2020-ICT-2016-INT, 2016)
Start date: 2016-09-01
End date: 2018-09-30
Duration (months): 25.0
Total project cost (EUR): 1220613.75
EU funding (EUR): 499988.75
Participants: 8
Project status: CLOSED

FIWARE Mexico aims at enhancing FIWARE-driven collaboration between EU and Mexico, based on the adoption, deployment and improvement of FIWARE in Mexico as a framework that will open up new horizons for future cooperation in the ICT domain. The Mexican FIWARE Lab node operated by INFOTEC is part of the FIWARE infrastructure, which facilitates the use of the FIWARE platform for local innovative players. However, to bring new Mexican players into the FIWARE arena and create a sustainable collaborative environment between Europe and Mexico, it is necessary to set and manage the proper conditions needed to support the pillars of FIWARE in Mexico to go beyond the Lab initiative. FIWARE Mexico proposes a new approach to actively and strategically engage all relevant stakeholders in supporting the uptake of FIWARE technologies for sustainable collaboration between EU and Mexico. The project will establish Working Groups to engage innovators from the industry, research communities and end users, such as Smart Cities players, in the FIWARE ecosystem. In parallel, dedicated FIWARE technology’ training programmes will be implemented for developers, integrators and contributors, embracing the whole open source community, which will facilitate the adoption of FIWARE technologies and the development of applications to be commercialized in Mexico and EU. Also FIWARE Mexico will focus on key aspects that until now have only partly been addressed in the EU-Mexico policy dialogue, such as the identification of ICT priorities and FIWARE topics of strategic interest for future R&I collaboration. The FIWARE Mexico consortium is in a unique position to leverage the required expertise, foster engagement with key players, ensure a shared vision, encourage networking, reach a wide range of policy-makers, industrial and economic leaders throughout EU and Mexico, and mobilize resources towards result-oriented actions that will significantly reinforce the EU-Mexico collaboration in FIWARE.

Keywords: fiware,ict randi cooperation,eu mexico dialogues,roadmapping,ict priorities,engagement,train the trainers,co creative methods,people centric facilitation techniques,sustainability models
Revealing the composition and formation mechanism of carcinogenic asbestos bodies in human lungs (BiominAB-3D)

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: Life Sciences
Countries involved: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-05-22
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

When it is inhaled, asbestos triggers a chain of events that can lead to mesothelioma, an aggressive cancer of the lung lining, and to lung cancer. After prolonged stay in the lungs the asbestos fibers develop an iron coating that is thought to be responsible for the cytotoxic response, and which nature is still unclear. The fibres with their coating, developed after prolonged stay in human lungs, are known as asbestos bodies. Despite the large and increasing incidence of respiratory/pulmonary diseases among the general population due to asbestos and other toxic fibers, the carcinogenic mechanism is not yet fully understood. A deeper knowledge of the interaction between the fibers and the biological tissue can help scientists to develop more efficient medical treatments and to improve prevention strategies. The proposed research project aims to reveal the composition and formation mechanism of asbestos bodies combining cutting-edge synchrotron radiation fluorescence and imaging microtomography and microdiffraction with transmission electron microscopy. Synchrotron radiation techniques will allow revealing the elemental distribution and morphology of unaltered lung tissue samples with unprecedented level of detail, preserving their tridimensional structure. Microdiffraction and transmission electron microscopy will reveal possible degradation of the embedded asbestos fibres, which is a long standing question. The project will exploit an innovative collaboration between physicists, chemists, doctors, and biologists. In particular, physics techniques usually employed in the field of fundamental research or in material science will be combined with laboratory methodologies, creating an environment favourable for breaking-through results. The methodologies developed during the project can be extended to the study of other toxic particulate, such as vehicular or industrial particulate matter and man-made nanoparticles, which are of increasing concern for human health.

Keywords: asbestos,mesothelioma,lung cancer,synchrotron radiation,computed tomography,microdiffraction,transmission electron microscopy
Ultra-sensitive mechanical dissipation in classical, quantum and non-equilibrium nanocontacts (ULTRADISS)

Framework: Horizon 2020 — 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: Italy,Switzerland
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-05-01
End date: 2024-10-31
Duration (months): 66.0
Total project cost (EUR): 2002833.0
EU funding (EUR): 1430708.0
Participants: 2
Project status: SIGNED

Dissipation spectroscopy: Nanomechanical dissipation, experienced by oscillating tip-based Force Microscopy (AFM) instruments, provides an innovative probe of the physics of classical and quantum materials, solids, surfaces. My group made, in the last decade, well-recognized experimental and conceptual advances by exploiting and adapting advanced AFM techniques, especially the ultra-sensitive pendulum-AFM, (p-AFM, dissipation sensitivity ~0.1 aW, force sensitivity ~ 10-12N) detecting collective phenomena and phase transitions including structural, electronic, magnetic. This dissipation spectroscopy was applied so far mostly at the equilibrium physics of 3D classical solids. The challenge: I propose to extend nanomechanical dissipation spectroscopy to pick up much weaker effects caused by non-equilibrium perturbations, by nanomanipulations, and by quantum effects in carefully picked case studies. Such as measuring the imperceptible wind force exerted on a noncontact tip by a thermal or electrical current in the surface below, or the minute mechanical cost of creating and dismantling a single spin Kondo state, or a topological surface state. Risks, benefits, relevance: None of this was done before, so despite our experience and good feasibility estimates there is some risk. The benefits however will be substantial. Thermal and electrical migration of defects and impurities is important in materials, and electrical contacts. The dragging, peeling, sensing of 2D systems like graphene nanoribbons and twisted bilayers is hot. And quantum dissipation is pertinent to the limiting factor of quantum information processes. To do all this by nanomechanics will be unique. The opportunity: My group is ready to put its expertise in these exciting new problems, once I can through an Advanced Grant secure the instrumental and experimental human resources, as well as the theoretical support of additional beneficiary SISSA, indispensable in such a frontier context.

Keywords: nanoscale energy dissipation,atomic force microscopy,2d systems under non equilibrium conditions,topological materials
Real-Time ThermoTronics: handling fluctuations, dynamics and dissipation for smart radiative thermal management (RTTT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Thermotronics is a developing discipline that offers promising options to manage heat sources and proposes new ways of exploiting signals encoded by heat. Analogously to what happens in electronic components in which electric currents flow as a consequence of potential differences, thermotronic components are devices in which heat currents flow due to applied temperature differences. In radiative components, thermal photons flow as electrons flow in their electronic counterparts. Among these devices, a radiative thermal transistor controls the heat exchange without contact between a source and a receiver. When these components are reduced to the nanoscale, the environmental noise becomes important and is a major cause for concern. The objective of the proposal is to address fluctuations, dynamics and dissipation in thermotronic components, based on nanoscale photon transport and working under environmental noise perturbations. This is achieved by considering the parameters that define the states of these components as stochastic variables, from which stability conditions for equilibrium states can be derived and the dynamics under general nonequilibrium scenarios can be characterized. The proposed scheme provides novel methods to estimate the mean life of the states of a thermal memory and to quantify the time response of thermotronic components, including the impact of environmental conditions which are of prime importance for applications. A nonequilibrium thermodynamics framework dealing with the associated stochastic dynamics is also proposed to account for dissipation as a key element to optimize the performance of these devices. The proposal paves the way for innovative strategies for an active control of radiative heat fluxes, strengthening tools and concepts for smart radiative thermal management. The proposed methods for the description of fluctuations, dynamics and dissipation can be applied to any other many-body system with radiative interactions.

Keywords: near field radiative heat transfer,radiative thermal transistor,radiative thermal memory,dynamics,fluctuations,dissipation,phase change materials
Pilot Eye Gaze and Gesture tracking for Avionics Systems using Unobtrusive Solutions (PEGGASUS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Switzerland,Switzerland,Switzerland,France
Call: Development of a system for pilot eye gaze and gesture tracking in the cockpit environment (H2020-CS2-CFP07-2017-02, 2017)
Start date: 2019-01-01
End date: 2021-08-31
Duration (months): 32.0
Total project cost (EUR): 1023661.25
EU funding (EUR): 950823.75
Participants: 5
Project status: CLOSED

As the capabilities of cockpit systems increase, the way in which the pilots interact with them evolves. At the same time, flight management concepts and tools continue to increase in complexity, as well as flight and non-flight data streams, which consequently challenges the pilots’ abilities to cope with the information they need to be aware of, and exerts pressure on their cognitive states. In in framework of the development of new Human System Interfaces carried out in WP1.2.4 the Clean Sky 2 SYSTEMS ITD, the PEGGASUS project proposes an approach to bring innovative smart vision systems to cockpits. The system we propose to develop is a crew interface and monitoring system implementing eye gaze, face, and gesture tracking technologies to bring new functionalities to Human-Machine Interfaces in the cockpit. It consists in a set of NIR-sensitive cameras powered by Computer Vision and Machine Learning algorithms running on a central processing unit. Three prototypes will be developed from a standalone lab prototype, to a TRL5 model integrated in the topic leader’s “cockpit demonstrator”. The system design shall be compliant with aircraft cockpit installation, the operational environment and pre-certification requirements. The requirements defined at the beginning of the project with the topic leader’s inputs, will be verified after its successful integration into the “cockpit demonstrator” avionics. PEGGASUS brings together partners able to cover the complete value chain of innovative product development: SERMA Engineering (FR), an OEM for aeronautical equipment, CSEM (CH) an RTD with proven experience in innovative technologies for aeronautics, ETHZ (CH) represented by the Geogaze lab that conducts cutting edge research with eye tracking technology, particularly for the use in aviation training, and Swiss (CH), an airline and potential end user who will provide expertise in crew interfaces and monitoring.

Keywords: eye gaze tracking gesture avionics monitoring cockpit unobtrusive machine learning hmi
INTERNATIONAL RESOURCE PANEL (IRP) SECRETARIAT (IRP)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Protection of the environment, sustainable management of natural resources, water , biodiversity and ecosystems
Action type: Coordination and support actions
Countries involved: Kenya
Call: International Resource Panel (IRP) Secretariat (H2020-IBA-SC5-IRP-2020, 2020)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 1000000.0
EU funding (EUR): 1000000.0
Participants: 1
Project status: SIGNED

The International Resource Panel (IRP) was launched by the European Commission and set up in cooperation with the United Nations Environment Programme (UNEP) in 2007, at the request of Member States. Its objective is to provide scientific knowledge on the issues related to sustainable resource management so that policy makers use that knowledge to inform decision-making. The IRP addresses the topics of resource efficiency, management of raw materials and decoupling economic growth from environmental degradation. It will build a roadmap for defining a safe operating space for resource use and projecting scenarios for resource use. It will also aim at better understanding how to prevent unintended negative consequences from resource efficiency on societies. The Panel is a science-policy interface that serves as a platform for exchange between eminent scientists from around the world and the policy community. As such, it provides the scientific experts with an insight into the knowledge needs of policy makers, while providing policy makers and other stakeholders with the best available scientific knowledge on resource related issues as a basis for developing sustainable development policies. In order to achieve its objectives, the IRP will: - Publish independent, coherent and authoritative scientific assessments of policy relevance on resource use and related environmental impacts developed and made available to policymakers and other relevant stakeholders. - Communicate findings of IRP scientific assessments effectively to policymakers and other relevant stakeholders in order to improve awareness and understanding of the importance of resources for sustainable development and poverty reduction, as well as for meeting all the Sustainable development Goals (SDGs). - Conduct capacity building courses and/or workshop and develop appropriate supporting tools to enhance the capacity of policymakers and other stakeholders to understand and use relevant scientific infor

Keywords: science policy interface,resource efficiency,circular economy,raw materials use,decoupling economic growth from environmental degradation,social and economic development,migration
Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation (MAESTRIA)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Spain,Germany,Greece,France,France,France,United States,Netherlands,United Kingdom,United Kingdom,Canada
Call: Digital diagnostics – developing tools for supporting clinical decisions by integrating various diagnostic data (H2020-SC1-2020-Single-Stage-RTD, 2020)
Start date: 2021-03-01
End date: 2026-02-28
Duration (months): 60.0
Total project cost (EUR): 14520311.25
EU funding (EUR): 13915311.25
Participants: 20
Project status: SIGNED

Atrial fibrillation (AF) and stroke are major health care problems in Europe. They are most often the clinical expression of atrial cardiomyopathy, which is under-recognised due to the lack of specific diagnostic tools. Multidisciplinary research and stratified approaches are urgently needed to prevent, diagnose, and treat AF and stroke and preempt the AF-related threat to healthy ageing in Europe. MAESTRIA is a European consortium of 18 clinicians, scientists and Pharma industrials who are at the forefront of research and medical care of AF and stroke patients. It will create multi-parametric digital tools based on a new generation of biomarkers that integrate artificial intelligence (AI) processing and big data from cutting edge imaging, electrocardiography and omics technologies. It will develop novel biomarkers, diagnostic tools and personalized therapies for atrial cardiomyopathy. Digital Twin technologies, a rich data integrator combining biophysics and AI will be used to generate virtual twins of the human atria using patient-specific data. Unique experimental large-animal models, ongoing patient cohorts and a prospective MAESTRIA cohort of patients will provide rigorous validation for new biomarkers and newly developed tools. A dedicated core lab will collect and homogenize clinical data. MAESTRIA will be organized as a user-centered platform, easily accessible via clinical parameters routinely used in European hospitals. A Scientific Advisory Board comprising potential clinician users will help MAESTRIA meet clinical and market needs. Dissemination and visibility of the MAESTRIA consortium mission will benefit from participation of the German Competence Network on Atrial Fibrillation (AFNET), and support from the European Society of Cardiology, clinicians, scientists, and other professional societies. MAESTRIA will be ready to tackle the major challenges of data integration and personalized medicine focused on atrial cardiomyopathy, AF and stroke.

Keywords: atrial cardiomyopathy,atrial fibrillation,cardiac imaging,cardiac electrical signal,digital diagnostic platform,machine learning,artificial intelligence,data integration,personalised medicine
Data Mining Algorithms in Practice (DMAP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Italy
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-02-01
End date: 2021-01-31
Duration (months): 60.0
Total project cost (EUR): 1137500.0
EU funding (EUR): 1137500.0
Participants: 1
Project status: CLOSED

Data Mining algorithms are a cornerstone of today's Internet-related services and products. We aim to tackle some of the most important problems in Data Mining --- our goal is to develop a systematic theoretical understanding of certain simple algorithms that, in spite of being at the core of today's web industry, are not yet well understood in terms of their properties and performances, and to develop new simple algorithms for fundamental problems in this domain that have so far escaped a satisfactory solution.

Keywords: data mining,linear algorithms