Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Reconstruction of Pollinator-Mediated Speciation by Identification and Substitution of Causative Mutations (RESPEC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Switzerland
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-09-01
End date: 2022-12-31
Duration (months): 64.0
Total project cost (EUR): 2499380.0
EU funding (EUR): 2499380.0
Participants: 1
Project status: CLOSED

A central aim of contemporary research on the origin of species is to identify the genes that are functionally differentiated between nascent species. Understanding the molecular-genetic basis of speciation will answer important questions that are of broad interest to geneticists, ecologists and evolutionary biologists. The RESPEC project will identify such “speciation genes”, map them onto conventional phylogenies and genetically reconstruct the process of speciation. Pollinator-mediated speciation is an attractive system to achieve these goals. Speciation in Petunia is recent, ongoing and prezygotic. Shifts in pollination syndromes are complex but are composed of distinct traits that can be studied individually. The advertising traits color and scent are known to be encoded by major effect genes, but for morphological traits no such information is available. The Objectives of RESPEC are: 1. Substitute the four major-effect mutations for advertising traits into the hawkmoth-pollinated species, thereby creating an artificial mimic of the derived bee-pollinated species 2. Identify the major-effect genes that specify the morphological differences between a moth- and a hummingbird-pollinated species 3. Reconstruct the process of speciation during the shift from hawkmoth to hummingbird pollination The identification and functional analysis of a complete set of major-effect genes will for the first time provide comprehensive molecular information about the process of speciation in a single system. This will make it possible to construct a “functional phylogeny” that resolves the conflicts inherent in classical phylogenies of recent radiations. The allele substitution experiments will demonstrate the importance of major-effect genes in speciation as opposed to Darwin’s view of evolution by gradual change. This has never been done before and was long thought to be impossible on theoretical grounds.

Keywords: speciation,pollination syndromes,morphology,taxonomy
Expanding the Research and Innovation Capacity in Cultural Heritage Virtual Reality Applications (eHERITAGE)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Italy,Slovenia,Romania
Call: Twinning (H2020-TWINN-2015, 2015)
Start date: 2015-11-01
End date: 2018-10-31
Duration (months): 36.0
Total project cost (EUR): 975625.0
EU funding (EUR): 975625.0
Participants: 3
Project status: CLOSED

Cultural heritage has always been an effervescent subject among historians, sociologists, naturalists, scientists and researchers alike. The physical and intangible legacy of previous generations is passed via this channel to future members of the society. It is a deliberate act, as conserving the results of past work, culture and even biodiversity is in the very nature of the human beings. With the recent advancements in the field of virtual reality, intelligent systems and based on the emergence of the information society, we can now ascend to modern cultural heritage preservation techniques. eHERITAGE has as main objective the development of a center of excellence in virtual heritage. The coordinator of this project is not new to the research field which he wishes to expand. The Virtual Reality and Robotics Department (VRRD) of the UTBv has an affinity for designing and developing applications of virtual reality for cultural heritage, as it has had involvements in past national research projects on this theme. The partners of eHERITAGE are internationally leading entities in the focused research field. SSSA is a public university located in Pisa, Italy. Its mission is not only didactic, as SSSA excels in several research areas, including robotics, virtual reality and user interfaces. The historic background of SSSA’s location eased the development of the virtual reality applications in cultural heritage. Several international research projects and well as a wide publication profile come to sustain this statement. On the other hand, JSI is the most important research institute in Slovenia, ranked among the first 50 research centers in Europe. In particular, JSI has strong competences in building models for ambient intelligence applications, data farming and detailing human behavior in virtual reality systems, competences which will prove invaluable for eHERITAGE.

Keywords: cultural heritage,virtual reality
Behaviour-Connect: Testing hypotheses on the behavioural drivers of connectivity in the marine environment through novel Bayesian models (Behaviour-Connect)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-03-16
End date: 2018-03-15
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Connectivity is broadly defined as the exchange of individuals between populations. Assessment of connectivity is a key goal in ecology, evolution and conservation biology. At the ecological level, connectivity is key in the persistence and resilience of populations. At the evolutionary level, connectivity influences local adaptation. In the marine environment, ecologists have primarily focused on biophysical models of larval exchange when investigating connectivity, because of the importance of such processes on exploited or commercial species. This has diverted attention from the potentially important role of behaviour as a driver of connectivity in the marine environment. Aspects of a species' behaviour, such as migratory fidelity, social structure and feeding specialisations, can play a strong role in shaping connectivity and gene flow that has been largely been ignored in connectivity studies to date. I propose to address this knowledge gap by simultaneously harnessing leading empirical methods, micro-chemical markers and genomics, and integrating these into a novel Bayesian framework for testing hypothesis on the behavioural drivers of connectivity. I will apply this method to a globally distributed species, the southern right whale. This large, long-lived species is highly mobile, migrating between coastal winter calving grounds and high latitude offshore feeding grounds in summer. Southern right whales show maternally transmitted preferences for migratory destinations that could influence connectivity. The combination of well-described life-history traits and lack of barriers to dispersal makes the southern right whale an ideal species in which to investigate the importance of behaviour on connectivity. While providing insights into drivers of connectivity in the southern right whale, the project will generate broader hypotheses about drivers of connectivity and provide a model for combining different data types to rigorously test such hypotheses.

Keywords: connectivity,bayesian models,population structure
Solar Energy Conversion without Solid State Architectures: Pushing the Boundaries of Photoconversion Efficiencies at Self-healing Photosensitiser Functionalised Soft Interfaces (SOFT-PHOTOCONVERSION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Ireland
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): 1499043.75
EU funding (EUR): 1499043.75
Participants: 1
Project status: SIGNED

Innovations in solar energy conversion are required to meet humanity’s growing energy demand, while reducing reliance on fossil fuels. All solar energy conversion devices harvest light and then separate photoproducts, minimising recombination. Normally charge separation takes place at the surface of nanostructured electrodes, often covered with photosensitiser molecules such as in dye-sensitised solar cells; DSSCs. However, the use solid state architectures made from inorganic materials leads to high processing costs, occasionally the use of toxic materials and an inability to generate a large and significant source of energy due to manufacturing limitations. An alternative is to effect charge separation at electrically polarised soft (immiscible water-oil) interfaces capable of driving charge transfer reactions and easily “dye-sensitised”. Photoproducts can be separated on either side of the soft interface based on their hydrophobicity or hydrophilicity, minimising recombination. SOFT-PHOTOCONVERSION will explore if photoconversion efficiencies at soft interfaces can be improved to become competitive with current photoelectrochemical systems, such as DSSCs. To achieve this goal innovative soft interface functionalisation strategies will be designed. To implement these strategies an integrated platform technology consisting of (photo)electrochemical, spectroscopic, microscopic and surface tension measurement techniques will be developed. This multi-disciplinary approach will allow precise monitoring of morphological changes in photoactive films that enhance activity in terms of optimal kinetics of photoinduced charge transfer. An unprecedented level of electrochemical control over photosensitiser assembly at soft interfaces will be attained, generating photoactive films with unique photophysical properties. Fundamental insights gained may potentially facilitate the emergence of new class of solar conversion devices non-reliant on solid state architectures.

Keywords: soft interfaces
MAKEOVER - Innovation MAnagement support and KEy account serVices for Triveneto small and medium EnteRprises (MAKEOVER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Italy,Italy,Italy,Italy,Italy,Italy,Italy
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 240652.8
EU funding (EUR): 240652.8
Participants: 13
Project status: CLOSED

MAKEOVER project aims at improving the competitiveness of small and medium enterprises in Triveneto macro-region (Veneto, Trentino South Tirol, Friuli Venezia Giulia), in North Eastern Italy, in order to help in achieving the targets fixed by the Europe 2020 strategy for a smart, sustainable and inclusive growth. MAKEOVER project fully addresses the challenges of part 7 – Innovation in small and medium-sized enterprises – of HORIZON 2020 Work Programme 2014-2015. It will offer services to SME’s to enhance their capacity in managing innovation. It will promote the importance of Innovation Management and SME Instrument among small and medium enterprises, providing companies more inclined to innovation with two types of professional services: Key Account Management (KAM) for SME’s beneficiaries of SME Instrument and support to establishment of Innovation Management Systems (IMS) for companies with high propension to innovation. KAM service will help selected companies to better exploit the benefit of SME Instrument, accompanying them in finding a suitable coach, identifying and implementing their own exploitation plan. IMS support service will help innovation oriented companies in identifying and establishing their own system of management of innovation as a strategic asset for company growth on the market.

Keywords: innovation,sme instrument,competitiveness,sme support,integrated support,comptitivess,growth,horizon 2020
Xtend - "Extending Reality Skywards" (Xtend)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2020-01-01
End date: 2020-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Coupling high-end drones with forefront computing technologies like the augmented/virtual/mixed reality opens up unprecedented possibilities in several fast-growing sectors like public safety and security, construction and industrial inspection, entertainment, to name just a few. Currently, there are several companies worldwide offering technologically advanced solutions for drones or VR/AR/MR reality, but little to none is able to merge the best functionalities of both technologies like we did at Xtend Reality Expansion Ltd. Indeed, our breakthrough innovation comes from the development of a disruptive drone-based extended reality technology that combines virtual elements into real-life environments offering a unique mixed reality experience. Firstly addressed, in the short-term, to the Public Safety and security market, Extender will provide an unprecedented opportunity to improve productivity and safety of operators, enhancing 360° real-time visualization and data-analysis, ultimately allowing for more effective and informed decision making. Our solution is at TRL6 and we aim to scale it up to TRL9 to commercialize the platform with top performance ratings from end-users and stakeholders by 2021. By applying to Phase 1 SME Instrument, we aim to carry out a feasibility study to verify the technical, commercial and financial viability of our solution and develop a business plan to drive its successful market uptake. Indeed, according to our realistic trading projections we will achieve approx. €12M total revenues by the 5th year (ROI = 3) counting on the rapid expansion both drone and immersive reality technologies are experiencing.

Keywords: drones,immersive technologies,extended reality,virtual reality,augmented reality,public safety and security,first responders,xr gaming,industrial inspection
The Living Image of Sherlock Holmes: The Cult of Celebrity in the Age of Disenchantment (LISHCCAD)

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-2018, 2018)
Start date: 2020-01-27
End date: 2024-03-28
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

My project, ‘The Living Image of Sherlock Holmes: The Cult of Celebrity in the Age of Disenchantment,’ aims to recast our understanding of nineteenth-century ideas and practices of celebrity, expertise and truth as well as the drive toward what U.S. historian James Cook calls ‘disenchantment’ in the realms of both science and magic alike (Arts of Deception 180). Anchored in William Gillette’s immensely successful 1899 production and performance of Sherlock Holmes, my project situates the late Victorian cult of celebrity in relation to competing models of inquiry and the wide array of edifying entertainments. Gillette’s Holmes – his twice over, as he both penned the adaptation and performed the role – was a staggering cultural phenomenon, played for decades across the globe. As a result, the performer/character offers a unique and critical means by which to understand these pivotal issues in the period. It is a timely project which will have a major impact on the fields of celebrity studies, theatre history, Victorian studies and the history of science, for it not only rethinks the most pressing concerns of the Victorian period but also illuminates our own. Because so many of the late nineteenth-century anxieties – the increasing importance of celebrity, the pace of technological development and the status of experts and the role of expertise, to name just a few – remain our anxieties, a thorough interrogation of their world enables us to better understand ours. Keywords: theatricality, celebrity, detection, Sherlock Holmes, William Gillette, entertainment, science, nineteenth century, Victorian, melodrama

Keywords: theatre history,celebrity studies,sherlock holmes,performance,magic,detectives
Accurate and Scalable Processing of Big Data in Earth Observation (BigEarth)

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: Germany,Italy
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-04-01
End date: 2024-03-31
Duration (months): 72.0
Total project cost (EUR): 1491479.0
EU funding (EUR): 1491479.0
Participants: 2
Project status: SIGNED

During the last decade, a huge number of earth observation (EO) satellites with optical and Synthetic Aperture Radar sensors onboard have been launched and advances in satellite systems have increased the amount, variety and spatial/spectral resolution of EO data. This has led to massive EO data archives with huge amount of remote sensing (RS) images, from which mining and retrieving useful information are challenging. In view of that, content based image retrieval (CBIR) has attracted great attention in the RS community. However, existing RS CBIR systems have limitations on: i) characterization of high-level semantic content and spectral information present in RS images, and ii) large-scale RS CBIR problems since their search mechanism is time-demanding and not scalable in operational applications. The BigEarth project aims to develop highly innovative feature extraction and content based retrieval methods and tools for RS images, which can significantly improve the state-of-the-art both in the theory and in the tools currently available. To this end, very important scientific and practical problems will be addressed by focusing on the main challenges of Big EO data on RS image characterization, indexing and search from massive archives. In particular, novel methods and tools will be developed, aiming to: 1) characterize and exploit high level semantic content and spectral information present in RS images; 2) extract features directly from the compressed RS images; 3) achieve accurate and scalable RS image indexing and retrieval; and 4) integrate feature representations of different RS image sources into a unified form of feature representation. Moreover, a benchmark archive with high amount of multi-source RS images will be constructed. From an application point of view, the developed methodologies and tools will have a significant impact on many EO data applications, such as accurate and scalable retrieval of: specific man-made structures and burned forest areas.
High Temperature – Small-Scale Sub-Surface Deformation assisted by Oxidation (HT-S4DefOx)

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: France
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 2493277.0
EU funding (EUR): 2493277.0
Participants: 1
Project status: SIGNED

Structural materials exposed at high temperatures (650°C-1200°C) and severe loads are prone to both local oxidation-assisted deformation and deformation-assisted surface reactivity. Material evolutions within the sub-surface region affected by oxidation (0.1 to 100 µm deep gradient) generally drive premature damage and the unexpected ruin of bulky structural components. Therefore, assessing the evolutions of the local deformation at the sub-grain scale at high temperature using micro- and mesomechanical approaches is the key point to clarify thermo-mechano-chemical interactions favouring early damage. HT-S4DefOx aims to tackle such small-scale and pluridisciplinary investigations on Ni-based and Ti-based model materials. Advanced high temperature micromechanical techniques (high resolution-digital image correlation (HR-DIC), in-situ TEM mechanical testing, in-situ micropillar/nanoindentation testing, synchrotron nano-tomography and topotomography) will be purposely coupled with numerical simulations (phase field-coupled crystal plasticity finite element methods). My unique expertise in mesoscale ultrathin specimen preparation and testing allows the present experimental investigation of the coupling between surface reactivity and local deformations. The development of novel mesoscale flexural techniques with real-time 3D observation of the specimen deformation up to 1000°C will finally bridge the gap between micro- and macroscale mechanical characterisations, with an emphasis on graded properties materials. Investigating sub-surface behaviour during oxidation lies in the inability to achieve robust measurement at such hidden location. In addition, the surface texture evolution while oxide growth constitutes another significant obstacle. Therefore, smart surface monitoring for high temperature HR-DIC at the microscale and inverse numerical methods will give unique and quantitative information on the local mechanical behaviour of such “invisible” materials.

Keywords: high temperature oxidation,mechanics of material