Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mapping biodiversity cradles and graves (MAPAS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-12-01
End date: 2025-11-30
Duration (months): 60.0
Total project cost (EUR): 1499923.0
EU funding (EUR): 1499923.0
Participants: 1
Project status: SIGNED

Diversity is the most important asset of life on Earth. Estimates indicate that there are more than 8 million species providing us food, well-being and health. Since Darwin and Mendel, we started to understand how diversity is selected and inherited. However, where and why biodiversity originates and vanishes are fundamental questions yet to be answered. Today, we are witnessing the 6th mass extinction and thus, to maintain high levels of biodiversity for future generations, we need to protect not only current biodiversity hotspots, but also evolutionary cradles of future biodiversity. Global biodiversity patterns have been studied by biogeographers and palaeontologists aiming to unveil general rules of life. But here, instead of focussing on patterns, I propose to focus on modelling and mapping processes through deep time (e.g. species origination and extinction). MAPAS aims to test the influence of different biotic and abiotic drivers in processes generating biodiversity, and answer theoretical and practical research questions involving where and why species originate, spread and vanish. MAPAS will pioneer the study of deep-time geographic diversification dynamics with an unprecedented time-frame. I plan to produce palaeoclimatic simulations for the entire Phanerozoic (the last 540 million years) and a ground-breaking spatially-explicit mechanistic model to generate the first maps of the geographical distribution of evolutive processes across deep time. The results of this decidedly ambitious project will open new horizons for research, bringing palaeontological, biogeographical and ecological schools together, and will provide important insights for conservation efforts.

Keywords: biogeography,paleobiogeography
Mechanisms of K stable isotope fractionation in vertebrates and significance to their energy metabolism (BioIsoK)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-10-01
End date: 2020-09-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The reconstruction of physiological and ecological traits of extinct organisms is crucial for apprehending the dynamics of the evolution of species and ecosystems as well as the origins of modern biodiversity. The recent advent of the use of natural stable isotopes of bioessential metals is principally related to the democratization of multi-collector inductively coupled plasma mass spectrometers (MC-ICP-MS). These isotope systems (Mg, Ca, Cu, Fe or Zn) opened up unprecedented perspectives for the study of their cycling in past and present vertebrate organisms and turned out to be precious assets for the unraveling of otherwise inaccessible biological features of fossil organisms, being ecological, behavioral or physiological characteristics. Potassium (K) is a bioessential metal in all vertebrates, where its cycling intensity is notably dependent on their metabolic rates, the later varying itself with thermophysiology from a phylogenetic class to another or with body mass within a given class. Due to its crucial biological functions as well as the observed significant effects of biological processes on its isotope ratios, K isotopes constitute a highly promising novel isotope system for the study of vertebrate metabolism. However, the K stable isotope compositions of vertebrate tissues are currently fairly unexplored, notably due to major technical hindrances, inherent to the existing mass spectrometry technologies. This project aims first to develop a reliable method of K stable isotope analysis using the state-of-the-art “Proteus” prototype MC-ICP-MS implemented with the collision-reaction cell technology and developed by Tim Elliott group and Thermo Fisher®. This method will then be used for analysis of tissues from vertebrates of various classes reared in controlled conditions. This will allow identifying the main mechanisms driving the isotope compositions of vertebrate tissues and assess their potential for the study of vertebrates energy metabolism.

Keywords: k isotopes,vertebrates,energy metabolism,physiology,paleophysiology,collision cell mc icp ms
Mobile technology that brings personalized audio into your life (TuneFork)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

TuneFork is a software audio personalization technology that brings out the best from your mobile sound system, giving you the optimal hearing experience anywhere you go. With the Phase-1 we plan to carry out a feasibility study to better understand the risks for growing at international level, then defining sound mitigation plans.

Keywords: audio,personalized experience,sound
Virus Spread in Networks (ViSioN)

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: Netherlands
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 2499962.0
EU funding (EUR): 2499962.0
Participants: 1
Project status: SIGNED

ViSioN presents my Network Science view on virus spread in networks, in which the duality between the virus transmission process and the contact graph is key. The devastating Corona crisis reveals two major shortcomings in traditional epidemiology. First, it ignores the human contact graph and implicitly assumes a homogeneous population without specific graph structure. Second, most models for the virus spreading process relate to a Markovian setting, with exponential infection and curing times, leading to an exponential decay of the epidemic. Measurements, however, point to significantly different infection and curing time distributions. In addition, digital technology can help in constructing the contact graph and combined with medical testing, all infected can be detected, thus avoiding a second wave. Building on my pioneering work on Markovian epidemics in networks, I will complement the recipe book of epidemic model ingredients with corresponding algorithms/software for next pandemic outbreaks. I will develop the theory of non-Markovian epidemic process on networks, a surprisingly missing element today, because non-Markovian theory is needed to tell, based on the characteristic infection and curing times of the virus, how long a pandemic will last and when the peak occurs. Next, I will combine all available measurement technologies to construct the best possible contact graph via temporal networking or adaptive networking. Finally, I will explore how accurately infections can be predicted under partial information of process and contact graph. ViSioN’s outcomes will allow to predict, manage and control any epidemic in the best possible way. Moreover, as epidemics are part of the larger class of “local rule–global emergence” systems, my outcomes will be directly beneficial for the other members of this broad and abundant class, and find applications ranging from computer malware spread to human brain surgery.

Keywords: network science,epidemics on networks
Green Awareness in Action (GAIA)

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: Research and Innovation actions
Countries involved: Italy,Austria,Italy,Greece,Sweden,Greece,Greece,United Kingdom
Call: New ICT-based solutions for energy efficiency (H2020-EE-2015-2-RIA, 2015)
Start date: 2016-02-01
End date: 2019-05-31
Duration (months): 40.0
Total project cost (EUR): 1775707.0
EU funding (EUR): 1775707.0
Participants: 9
Project status: CLOSED

The GAIA project focuses on the educational community; faculty, staff, students and parents at all levels of education: primary/secondary/high schools and universities. Targeting Energy Efficiency in the context of the educational community is clearly very important due to a number of reasons since raising awareness among young people and changing their behaviour and habits concerning energy usage is key to achieving sustained energy reductions and it will also indirectly affect their immediate family environment, while achieving energy reduction in the school buildings. GAIA will create an innovative ICT ecosystem (including web-based, mobile, social and sensing elements) tailored specifically for school environments, taking into account both the users (faculty, staff, students, parents) and buildings (schools, universities, homes) that will motivate and support citizens' behavioural change to achieve greater energy efficiency. GAIA will include also a set of pilots in different countries. GAIA will directly educate over 6.900 users, influence and attempt to transform their behaviour through a series of trials conducted in the educational environment and in homes. We expect a larger number of people to be informed about the activities of GAIA and be positively affected towards an energy-efficient behaviour transformation.

Keywords: educational community,behavior change,energy efficient services
HEALEX – High Efficiency Air Liquid Heat Exchanger An innovative, new heat exchanger that improves energy efficiency in cooling and ventilation systems (HEALEX)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Sweden
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-2-2014, 2014)
Start date: 2015-04-01
End date: 2017-12-31
Duration (months): 33.0
Total project cost (EUR): 1470776.5
EU funding (EUR): 1029543.55
Participants: 1
Project status: CLOSED

HEALEX (High Efficiency Air to Liquid Heat Exchanger) has the potential to reduce electricity consumption by 30% in several cooling applications. This tremendous energy savings and corresponding CO2-emission reductions can be achieved by a strikingly simple innovation: the improvement of a single system component, the heat exchanger. The HEALEX project aims to replace the state of the art heat exchanger in certain existing products within the cooling sector for a novel, simple, conceptually unique and much more efficient heat exchanger: HEALEX. The objectives of this project focus on solving the technical and commercial bottlenecks identified during Phase 1 of the project. These are: i) Achievement of HEALEX mechanical strength required to gain market acceptance, ii) Fully develop three different HEALEX types, iii) Securing future HEALEX customers, and iv) Assuring a competitive product. HEALEX project will be carried out by Airec, a Swedish SME which has since its foundation focused on developing, producing and marketing different types of heat exchangers. Airec’s commercialization strategy is based on a business to business relationship, where HEALEX customers and their R&D departments are involved at an early stage of the HEALEX project in order to meet their individual requirements. This supports a more efficient development process and a quicker market introduction and expansion. All in all, the planned commercialization strategy focuses on giving Airec’s customers strong reasons to shift to HEALEX. Scientists and market experts have expressed HEALEX’s potential to create the largest paradigm change in the cooling industry for several decades. By successful completion of the project objectives, HEALEX will become a reliable and profitable product contributing to both Airec’s growth and to reducing the electricity consumption and carbon footprint of European industries, thus helping to achieving the goals within EU’s Energy and Climate targets for 2020.

Keywords: sustainable cooling systems,reduced co2 emissions,european partnerships to increase knowledge,short payback time for the user,heating,ventilation,air conditioning
Parametrized Verification and Synthesis (PaVeS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-09-01
End date: 2023-08-31
Duration (months): 60.0
Total project cost (EUR): 2354000.0
EU funding (EUR): 2354000.0
Participants: 1
Project status: SIGNED

Parameterized systems consist of an arbitrary number of replicated agents with limited computational power, interacting to achieve common goals. They pervade computer science. Classical examples include families of digital circuits, distributed algorithms for leader election or byzantine agreement, routing algorithms, and multithreaded programs. Modern examples exhibit stochastic interaction between mobile agents, and include robot swarms, molecular computers, and cooperating ant colonies. A parameterized system is in fact an infinite collection of systems, one for each number of agents. Current verification technology of industrial strength can only check correctness of a few instances of this collection. For example, model checkers can automatically prove a distributed algorithm correct for a small number of processes, but not for any number. While substantial progress has been made on the theory and applications of parameterized verification, in order to achieve large impact the field has to face three ``grand challenges'': - Develop novel algorithms and tools for p-verification of classical p-systems that bypass the high complexity of current techniques. -Develop the first algorithms and tools for p-verification of modern stochastic p-systems. -Develop the first algorithms and tools for synthesis of correct-by-construction p-systems. Addressing these challenges requires fundamentally new lines of attack. The starting point of PaVeS are two recent breakthroughs in the theory of Petri nets and Vector Addition Systems, one of them achieved by the PI and his co-authors. PaVeS will develop these lines into theory, algorithms, and tools for p-verification and p-synthesis, leading to a new generation of verifiers and synthesizers.

Keywords: computer aided verification,model checking,automatic synthesis,parameterized verification,probabilistic verification,automata theory,constraint solving,petri nets,vector addition systems
Molecule-induced control over 2D Materials (Mol-2D)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Spain
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-03-31
Duration (months): 66.0
Total project cost (EUR): 2499950.0
EU funding (EUR): 2499950.0
Participants: 1
Project status: SIGNED

We propose to create heterostructures based on functional molecules and 2D materials. As molecular systems we focus on bistable magnetic molecules able to switch between two spin states upon the application of an external stimulus (temperature, light, pressure, electric field etc.). As 2D materials we concentrate on those exhibiting in particular superconductivity or magnetism. The driving idea is to tune/improve the properties of the “all surface” 2D material via an active control of the hybrid interface. This concept, which goes much beyond the conventional chemical functionalization of a 2D material, will provide an entire new class of smart molecular/2D heterostructures, which may be at the origin of a novel generation of hybrid materials and devices of direct application in highly topical fields like electronics, spintronics, molecular sensing and energy storage. Through this molecular approach, we will address major challenges in different areas of the 2D research: i) in 2D physics, we investigate the new properties that should appear in heterostructures involving 2D superconductors and 2D magnets or magnetic molecules; ii) in 2D electronics, we explore the possibility of tuning the superconducting/magnetic properties of a 2D material by applying an external stimulus (light for example), or to design smart electronic/spintronic devices able to respond to physical (light, magnetic field, etc.) or chemical stimuli (trapping of molecules); iii) in 2D composite materials, a general goal is to design hybrid molecular/2D materials with improved properties with respect to the pure 2D material to be used in the fabrication of energy storage devices. To reach these challenging goals an integrative and multidisciplinary approach is proposed in which various facets of chemistry – coordination, solid-state and supramolecular chemistry – are coupled with physics, materials science and nanotechnology.

Keywords: 2d materials,molecular magnetism,spin crossover,magnetic layers,transition metal dichalcogenides,superconducting layers,graphene composites,layered double hydroxides,coordination polymers
3D Flow Analysis in Bijels Reconfigured for Interfacial Catalysis (3D-FABRIC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Germany,Netherlands
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-06-01
End date: 2024-05-31
Duration (months): 60.0
Total project cost (EUR): 1905000.0
EU funding (EUR): 1905000.0
Participants: 2
Project status: SIGNED

The objective of this proposal is to determine the unknown criteria for convective cross-flow in bicontinuous interfacially jammed emulsion gels (bijels). Based on this, we will answer the question: Can continuously operated interfacial catalysis be realized in bijel cross-flow reactors? Demonstrating this potential will introduce a broadly applicable chemical technology, replacing wasteful chemical processes that require organic solvents. We will achieve our objective in three steps: (a) Control over bijel structure and properties. Bijels will be formed with a selection of functional inorganic colloidal particles. Nanoparticle surface modifications will be developed and extensively characterized. General principles for the parameters determining bijel structures and properties will be established based on confocal and electron microscopy characterization. These principles will enable unprecedented control over bijel formation and will allow for designing desired properties. (b) Convective flow in bijels. The mechanical strength of bijels will be tailored and measured. With mechanically robust bijels, the influence of size and organization of oil/water channels on convective mass transfer in bijels will be investigated. To this end, a bijel mass transfer apparatus fabricated by 3d-printing of bijel fibers and soft photolithography will be introduced. In conjunction with the following objective, the analysis of convective flows in bijels will facilitate a thorough description of their structure/function relationships. (c) Biphasic chemical reactions in STrIPS bijel cross-flow reactors. First, continuous extraction in bijels will be realized. Next, conditions to carry out continuously-operated, phase transfer catalysis of well-known model reactions in bijels will be determined. Both processes will be characterized in-situ and in 3-dimensions by confocal microscopy of fluorescent phase transfer reactions in transparent bijels.

Keywords: interfacial science
FAST track 2 FACE REcognition Camera dominance (FASTFACEREC)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Germany,Spain,Denmark
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2018)
Start date: 2018-09-15
End date: 2021-03-14
Duration (months): 30.0
Total project cost (EUR): 4190771.25
EU funding (EUR): 2913624.5
Participants: 3
Project status: CLOSED

This proposal aims to develop the most competitive cameras for Face-Recognition, Mixed Reality and Augmented Reality for mobile phones, tablets and laptop computers. An embedded camera module, a highly competitive device aiming towards disruptive marketshare and global leaderhip. Our device reduces by more than 50% the costs of the BOM (Bill of Material) for the camera, increases drastically the resolution of the depth map (from 40 Kpixels to 1,45 Mpixels), provides real-time-video and consumes much lower power. Our commercial contacts with Korean, Chinese and Taiwanese manufacturers of mobile phones and tablet computers, customers for our first Depth-cameras, confirm that our disruptive 3D imaging devices will sell millions of units in the first year following initial design win(s). According to IDC and WCP, well-known analyst firms, the number of Smart Phones, tablets and laptops forecasted for 2018 will reach 2.25 billion devices. A large percentage of the manufacturers of this combined total of 2.25 billion consumer electronic products are potential customers for us. Our most disruptive competitive advantage is based on our algorithms (with only 1% of the computing power required by competition): we create high-quality depth-maps, 3D-content and all-in-focus images, we can process 60 fps videos under ANDROID processors while competitors need seconds to minutes to process a single frame with powerful GPUs. We disrupt into established value-chains accelerating the development of ideas into business-driven new products targetting to bring turnovers of € 2 billion by 2022-23 to the partners of this consortium. Synergies with existing products guarantee a swift exploitation of results starting before the end of the project.

Keywords: face recognition cameras