Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Direct and indirect effects of Climate Change on biotic communities and exotic Pathogens in mixed Mediterranean forests (CCPaMe)

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: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Global change is a complex phenomenon that involves several factors such as climate change, the alteration of the nitrogen cycle, biological invasions or changes in land use. Although each of these factors has been individually studied in detail in the last years, it is still poorly known how they could interact to affect biotic communities and the ecosystem processes that they control. The general objective of this proposal is to advance in the understanding of the direct and indirect effects of climate change on biotic communities and invasive pathogens interactions in forest systems. This interaction has been largely ignored so far, but its consideration is crucial to understand how abiotic and biotic stress factors together determine forest health and stability. Specifically, CCPaMe aims to: 1) Determine the direct effects of climate change on the exotic pathogen Phytophthora cinnamomi. It will be identified potential non-additive effects of rainfall exclusion and warming on its abundance and infected capacity by field and growth chamber experiments. 2) Determine the indirect effects of climate change on soil microorganisms and P. cinnamomi ecology. It will be determined the effects of climate change on the hosts susceptibility to P. cinnamomi and on the abundance, diversity and composition of soil organisms community (bacteria, fungi, archaea and actinomycete) and their implications for P. cinnamomi functionality: modification of its infective capacity and the alteration of pathogen interactions with other soil microbes. CCPaMe results will provide key insights to address current challenges regarding climate change effects and exotic pathogen control on forest systems and the conservation and protection of forest resources. Moreover, they will allow an improvement of our predictive capacity of the socio-economic consequences of future P. cinnamomi outbreaks, serving as a guide for the design of up-to-date management and mitigation policies.

Keywords: forest pathology,quercus,mediterranean ecosystems,ecosystems dynamic,phytophthora cinnamomi
Proactive synergy of inteGrated Efficient Technologies on buildings’ Envelopes (Pro-GET-OnE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Innovation actions
Partnership:  (cPPP)
Countries involved: Spain,Germany,Italy,Italy,Italy,Italy,Italy,Greece,Greece,Greece,Romania,Switzerland,Belgium,Greece,Netherlands,Netherlands,Netherlands
Call: Supporting accelerated and cost-effective deep renovation of buildings through Public Private Partnership (EeB PPP) (H2020-EE-2016-PPP, 2016)
Start date: 2017-05-01
End date: 2022-09-30
Duration (months): 65.0
Total project cost (EUR): 4975339.2
EU funding (EUR): 3752534.39
Participants: 19
Project status: CLOSED

The innovative aspect in Pro-GET-OnE (Proactive synergy for Greater Efficiency On buildings’ Envelopes) consists in the following holistic vision: To combine in a same integrated system based on pre-assembled components the highest performances (iii) in terms of i) Energy requirements – by adding (or substituting the existing with) new prefab and plug and play high energy performing envelopes ii) Safety – by using appropriate steel structures to reduce horizontal loads and implementing the structural safety while supporting the new envelopes (timber for opaque parts/surfaces, glass, PV and solar panels) iii) Social sustainability – by ensuring tailored and customized solutions for users and increase the desirability of retrofit options. Building upon the previous experiences, Pro-GET-OnE aims at promoting a holistic optimized approach that goes beyond the results of EU and national projects and the IEA report on Prefabricated Systems for Low Energy Renovation of Residential Buildings. In fact, PRO-GET-ONE proposes the highest transformation of the existing building’s shell with volumetric increase and buffer zones (i.e. sunspace between the building and the outdoor environment, extra room, etc.). These solutions have been designed and analysed in a large set of existing buildings. Being the openings guaranteed, this solution would efficiently provide an effective zone to reduce thermal losses in the cold winter season while ensuring shadow during summer.
Toward the microscopic simulations of cell-like environments. (CROWDY)

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: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

In living cells, proteins operate in an extremely crowded environment, which has a substantial impact on their structural and dynamical properties. Taking into account the effects of macromolecular crowding is thus imperative for a full understanding of protein function in vivo. However, despite a growing interest in the characterization of in-cell crowding, its net effect remains only partially understood as experimental studies addressing such phenomena in the cytoplasm are very challenging. In this project, we aim to examine the effect of macromolecular crowding on protein mobility and stability at the microscopic resolution. To this end, we will deploy a novel multi-scale simulation approach developed in the host laboratory. This multi-scale framework combines a detailed description of proteins with an efficient lattice-based model of solvent hydrodynamics. In the course of the project, we will consider systems of progressive complexity, ranging from crowded binary protein suspensions through a model of a bacterial cytoplasm and a lipid vesicle forming a biological nanoreactor. Our computational studies will be performed in close contact with two top-level experimental groups active in the field. We will pay particular attention to the behavior of superoxide dismutase 1, a protein involved in amyotrophic lateral sclerosis. Our multi-scale molecular simulations will shed light on how protein dynamics and stability are locally affected by the heterogeneity of the cellular environment. Moreover, we will investigate how crowding is modulated by the presence of membrane surfaces. The simulations will allow us to clarify the origins of crowding effects at an atomistic level, which will provide a vital support for the microscopic interpretation of experimental data. Thus, our project will offer unprecedented insights into the structure and dynamics of the crowded environment inside living cells.

Keywords: coarse graining,hydrodynamics,macromolecular crowding,protein diffusion,protein,stability,biological nanoreactor
Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving (RobustSENSE)

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,Austria,Germany,Germany,Germany,Spain,Germany,Germany,Spain,Italy,Germany,Germany,Finland,Finland,Finland
Call: ECSEL Key Applications and Essential Technologies (RIA) (ECSEL-2014-1, 2014)
Start date: 2015-06-01
End date: 2018-05-31
Duration (months): 36.0
Total project cost (EUR): 8690331.95
EU funding (EUR): 3348357.55
Participants: 15
Project status: CLOSED

Today’s driver assistance systems offer comfort and safety in sound environmental conditions. However, in harsh environment conditions – when needed most – systems stop working due to reduced sensor information quality. Targeting to the area of highly automated driving the improvement of perception, decision and planning under adverse conditions is one of the main challenges to be addressed. RobustSENSE is a project aiming at automated and safe mobility. Its goal is making systems able to cope with real world requirements under all environmental conditions. The RobustSENSE system introduces reliable, secure and trustable sensors and software by implementing self-diagnosis, adaptation and robustness. By managing diversity, complexity and safety it increases yield, robustness and reliability. RobustSENSE develops metrics to measures sensor system reliability on every level of assistance and automation systems as well as investigate approaches to improve the system. RobustSENSE thus aims at enhancing the robustness of all sensing methods and algorithms required for advanced driver assistance systems and automated driving. RobustSENSE moves from a platform consisting of several independent subsystems to a holistic approach. RobustSENSE introduces both, reliability measures and self monitoring across all levels of the system allowing two things: 1) Taking appropriate actions and algorithms on the respective system level to react on performance reduction caused by technical failure or changing environment conditions and 2) propagating reliability measures to a higher system level for decision making and taking appropriate actions therein. Thus, the area of operation of highly automated driving functions is permanently adapted to the present available performance of the perception and decision making system in order to guarantee a safe driving status at any time.

Keywords: embedded systems,environment perception,autonomous driving
Long-term structural performance of pre-stressed concrete bridges: A risk-based monitoring informed framework for life-cycle asset management (LoStPReCon)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-01
End date: 2017-10-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Recently, the re-assessment of the collapse of the Koror-Babeldaob Bridge (in 1996), a pre-stressed bridge built by the cantilever method, concluded that this was due to excessive deflections that appeared and grew non-linearly some years after construction. Interestingly, similar trends were found for a group of 56 similar bridge spans, raising the question whether such concerns could influence the maintenance and service life of a high number of pre-stressed bridges in Europe and beyond. Although individual material and structural factors have been researched, this problem can only be solved by integrating physical and probabilistic models and benefiting from the increasing use of monitoring data. This proposal aims to: 1.Review existing models for shrinkage and creep at specimen level, 2.Establish robust hybrid FE models for medium/long-term predictions, 3.Develop a novel monitoring approach based on Digital Image Correlation (DIC), 4.Formulate a time-dependent reliability assessment framework, addressing creep and shrinkage uncertainties, 5.Produce representative performance-time profiles for pre-stressed bridges based on the proposed framework and models. The above will be demonstrated via a case study – the Lezíria Bridge – possessing a unique combination of factors: (i) available monitoring data, (ii) pre-existing analysis models and (iii) an intimate knowledge by Dr. Helder Sousa, the researcher, of its construction and behaviour. The findings will be directly relevant to the growing number of bridges with this problem, enhancing the European knowledge and competitiveness in the global infrastructure market. For this, an interdisciplinary research and training programme has been set out, building on the researcher’s strong track record, expanding/honing his knowledge/skills, so that he can reach the forefront of highly qualified professionals able to solve problems in a creative/integrative manner, contributing to European expertise and wealth creation.

Keywords: pre stressed concrete bridges,structural reliability,fe modeling,shrinkage,creep,infrastructure asset management
Mapping Exposure-Induced Immune Effects: Connecting the Exposome and the Immunome (EXIMIOUS)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Preventing disease
Action type: Research and Innovation actions
Countries involved: Spain,Belgium,Belgium,Belgium,Romania,Norway,Belgium,Switzerland,Denmark,United Kingdom,Denmark,Denmark,United Kingdom,Denmark
Call: The Human Exposome Project: a toolbox for assessing and addressing the impact of environment on health (H2020-SC1-2019-Single-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 10878331.83
EU funding (EUR): 10878331.25
Participants: 15
Project status: SIGNED

Immune-mediated, non-communicable diseases, such as autoimmune diseases, allergic diseases and asthma, are chronic disorders in which the interaction between exposome and immune system plays a pivotal role. As prevalence and societal costs of these diseases are rising in the EU, a holistic approach is needed. The EXIMIOUS consortium—gathering high-level experts in immunology, toxicology, clinical medicine, environmental hygiene, epidemiology, bioinformatics and sensor development—will bring about a new way of assessing the human exposome by linking innovative ways of characterizing and quantifying multiple and combined environmental exposures (exposomics) with high-dimensional immunophenotyping and -profiling platforms to map the (early) immune effects induced by these exposures (immunomics). In several cohorts—covering the entire lifespan, including prenatal life—we will extensively map exposome, immune system (immunome), other omics and clinical and socio-economic data, using two main methodologies—one starting from the exposome, the other starting from health effects—that ‘meet in the middle’. Novel bioinformatics tools, based on systems immunology and machine learning, will be used to integrate and analyse these huge datasets and to construct ‘immune fingerprints’ that reflect a person’s lifetime exposome and identify ‘immune fingerprints’ that are early signs of poor health and predictors of disease at the individual level. We will build a multifaceted toolbox for researchers, policy makers, clinicians and the general public containing the exposome/immunome tools developed during the project to help assess the impact of the exposome on the immune system at the level of individuals and populations. This will allow policy makers to grasp the components of the exposome that needs to be prioritized to be able to design targeted preventive policies to reduce healthcare and socioeconomic costs, leading to greater wellbeing for the EU population. EXIMIOUS will work together with the other projects (EXPANSE, HEAP, ATHLETE, EQUAL-LIFE, LONGITOOLS, EPHOR, REMEDIA and HEDIMED) funded within the Human Exposome programme call H2020-SC1-BHC-2018-2020, in order to achieve collaboration and synergy.

Keywords: immunomics,environment immune gene interaction
Strategic and targeted support to incentivise talented newcomers to NMP projects under Horizon Europe (FIT-4-NMP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Coordination and support actions
Countries involved: Ukraine,Lithuania,Poland,Romania,Slovakia,Latvia,Czechia,Netherlands,Luxembourg
Call: Incentivising newcomers (CSA) (H2020-NMBP-TO-IND-2020-singlestage, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 10
Project status: SIGNED

FIT-4-NMP’s overall objective is to increase the participation of talented newcomers from underrepresented regions in NMP projects in Horizon Europe, as compared to Horizon 2020. Talented newcomers are promising innovation organisations – especially SMEs – that have not participated in H2020 NMP. Meanwhile, underrepresented regions are regions in EU-13, EU-15 and Associated Countries with a low participation in H2020 NMBP. The increase in participation of the talented newcomers will be brought about by connecting them with NMP hotspots, where important NMP innovations are demonstrated, as well as networking them with NMP Top Innovators. FIT-4-NMP will take strategic and targeted approaches to achieve this overall objective. From a strategic perspective, FIT-4-NMP will survey talented newcomers and experts responsible for regional and national R&I policy, in order to understand the precise reasons for non-participation of newcomers in NMP projects. In turn, best practices will be identified and policy measures formulated and communicated to relevant stakeholders: talented newcomers; regional/national authorities responsible for R&I policy; local innovation and technology transfer nodes; and the EC. From a targeted perspective, the FIT-4-NMP will: • Organise innovation workshops between talented newcomers and NMP Top Innovators; • Provide hands-on support to talented newcomers to prepare NMP proposals for Horizon Europe; • Facilitate networking for talented newcomers at major European conferences and regional brokerage events; • Provide training to talented newcomers on technology-transfer, proposal writing, and use of European networking portals. FIT-4-NMP will be undertaken by a strong consortium with partners located among many of the EU member states with the lowest participation in H2020 NMBP. Also, these partners represent “umbrella” organisations with extensive networks to innovative NMP organisations and talented newcomers in their regions.

Keywords: nmbp,underrepresented regions,horizon europe
Control Prediction and LeaRning in Mixing processes (CoPerMix)

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: Information Science and Engineering
Countries involved: Germany,Spain,Spain,Belgium,Switzerland,France,France,France,France,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 3989007.0
EU funding (EUR): 3989007.0
Participants: 13
Project status: SIGNED

Mixing is the science describing the evolution of the concentration of a substance (tracers, chemicals, heat, bacteria...) in a continuum substrate that is possibly deforming. It is also a necessary process or phenomenon taking place at each scales, from molecular to planetary, in all non-equilibrium human and natural activities. Most approaches to mixing used in science and engineering are based on mean field approaches or phenomenological mixing models , which focus on dynamics through effective coefficients such as mixing micro-scales, diffusivities, or on purely descriptive characterization of mixing through entropy measures for example. A predictive approaches that account for the many facets of the dynamics of mixing in a broad variety of applications and fields is however emerging: It consists in visualizing a mixture as a set of elongated stripes and sheets, understand how they are stretched and dispersed by the flow, a step we call Stirring. This first step provides the necessary tools to couple molecular diffusion, leading to the complete statistical description of the mixing process i.e. the full concentration distribution. In that sense and as opposed to traditional approaches, this disruptive vision has prompted new numerical and experimental methods and offers a transformative vision for Mixing to envisage its Impact in a diversity of fields and Learn from the stirring medium itself. A new generation of scientists and engineers is required that is aware of these fundamental issues and equipped with new visions and tool sets for mixing in order to address the increasing need of understanding and predicting mixing processes in environmental and industrial applications. The CoPerMix training network proposes to address this challenge by setting up an innovative and entrepreneurial training programme that renews drastically the methods and approaches to the subject and incorporates this strategic new vision of Mixing in prominent academic curricula.

Keywords: mixing,stirring,blending,diffusion,transport,reinforcement learning,statistical mechanisms
Setting Earth's Initial Conditions: A fluid dynamics study of core-mantle differentiation (SEIC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France,France
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2023-03-31
Duration (months): 72.0
Total project cost (EUR): 1258750.0
EU funding (EUR): 866045.0
Participants: 2
Project status: CLOSED

The initial conditions of the Earth and other terrestrial planets were set 4.5 Gy ago during their accretion from the solar nebula and their concomitant differentiation into an iron-rich core and a silicate mantle. Accretion in the solar system went through several different dynamical phases involving increasingly energetic and catastrophic impacts and collisions. The last phase of accretion, in which most of the Earth mass was accreted, involved extremely energetic collisions between already differentiated planetary embryos (1000 km size), which resulted in widespread melting and the formation of magma oceans in which metal and silicates segregated to form the core and mantle. Geochemical data provide critical information on the timing of accretion and the prevailing physical conditions, but it is far from a trivial task to interpret the geochemical data in terms of physical conditions and processes. I propose here a fluid dynamics oriented study of metal-silicate interactions and differentiation following planetary impacts, based in part on fluid dynamics laboratory experiments. The aim is to answer critical questions pertaining to the dynamics of metal-silicate segregation and interactions during each core-formation events, before developing parameterized models of metal-silicate mass and heat exchange, which will then be incorporated in geochemical models of the terrestrial planets formation and differentiation. The expected outcomes are a better understanding of the physics of metal-silicate segregation and core-mantle differentiation, as well as improved geochemical constraints on the timing and physical conditions of the terrestrial planets formation.