Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Foundations and applications of tropical moduli theory (TropicalModuli)

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: Mathematics
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): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Tropical geometry is the geometry of the combinatorial objects associated to degenerations and compactifications of algebraic (or analytic) varieties. As in algebraic geometry, the tropical geometry of moduli spaces is one of the richest and most fundamental parts of this field, with many of the features of tropical geometry only being visible through the prism of moduli spaces. The experienced researcher proposes to extend the foundations of tropical moduli theory, building on his prior work on tropical moduli stacks, and to explore new applications of these combinatorial techniques to classical problem in arithmetic and algebraic geometry. During the fellowship the experienced researcher will focus on the following three types of moduli spaces: - The universal Picard variety, with applications to Brill-Noether theory (universally over the moduli space of curves), as well as to theta-characteristics, spin curves, and Prym varieties. - Moduli of (higher) differentials, with applications to Eliashberg's problem on the compactification of the double ramification locus and the compactification of strata of abelian and quadratic differentials. - Moduli of G-admissible covers with the goal of developing a tropical approach to the regular inverse Galois problem.

Keywords: tropical geometry,moduli spaces,stacks,logarithmic structures,picard varieties,brill noether theory,abelian differentials,flat surfaces,g admissible covers
Enabling the property Data Marketplace for Novel Data-driven Business Models (proDataMarket)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Content technologies and information management: ICT for digital content, cultural and creative industries
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Italy,Norway,Norway,Bulgaria,Norway
Call: Big data and Open Data Innovation and take-up (H2020-ICT-2014-1, 2014)
Start date: 2015-03-01
End date: 2017-08-31
Duration (months): 30.0
Total project cost (EUR): 4482957.0
EU funding (EUR): 3499144.5
Participants: 9
Project status: CLOSED

Property data are one of the most valuable datasets managed by governments worldwide and extensively used in various domains by private and public organizations. Unfortunately these data are not always easy to access. House and property data is used in a variety of ways to produce value added information within and across several business sectors, including real estate and debt collection. Such sectors suffer from a lack of innovation due to a fragmented data ecosystem which makes it difficult to access relevant datasets. This hampers innovation, protects incumbents and promotes rent-seeking business models. The difficulty in creating a single, open data market partly depends on the fact that some governmental agencies are currently making significant revenues on selling data to a restricted number of business players in the private sector. However, several studies, demonstrated that the transaction costs for government agencies tend to be very high, and often make selling the data non-profitable. proDataMarket aims to disrupt the property data market and demonstrate innovation across sectors where property data is relevant, by integrating a technical framework for effective publishing and consumption of property-related data, showcasing novel data-driven business products and services based on property data. proDataMarket will provide a digital data marketplace for open and non-open property and related contextual data, making it easier for data providers to publish and distribute their data (for free or for a fee) and for data consumers to easily access the data they need for their businesses. The consortium is formed by large companies ensuring high-impact business cases, technology transfer providers ensuring technologies for the creation and maintenance of the data market platform, and large data providers providing data for the business cases. With strong industry involvement proDataMarket will cover a wide range of data value chains related to property data.

Keywords: data marketplace,data driven products and services,data as a service,property data
Speedmeter: Quantum back-action noise-free interferometry for improving the science capabilities of future gravitational wave observatories (SPEED)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Netherlands
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2175941.0
EU funding (EUR): 2175941.0
Participants: 1
Project status: SIGNED

The discoveries enabled by observations of gravitational waves (GW) from merging black holes and neutron stars provided us with a stunning glimpse of the immense potential of GW multi-messenger astronomy and cosmology. In order to discover new phenomena and better understand the constituents of the Universe and the forces driving it, it is vital to improve the sensitivity of future GW observatories. Indeed, to maximise the observation capacity of future GW observatories such as the Einstein Telescope (ET) it is imperative to go beyond the current quantum noise limit imposed by the uncertainty relation originating from a continuous position measurement of the interferometer mirrors, i.e. [x(t),x(t')]≠0. Quantum mechanics provides speedmeter interferometers (SMI) as a more elegant approach: measuring momentum (speed) of the test masses evades the uncertainty limit, i.e. [p(t),p(t')]=0. However, though SMI have been shown theoretically to offer superior sensitivity compared to currently used Michelson interferometers with squeezed light injection, the SMI concept lags behind in technical readiness and hence is currently not yet considered mature enough to build the baseline for ET. This grant will enable me to change this. In particular I will focus on two novel SMI concepts, we invented and which (in contrast to earlier SMI concepts) are easily implementable into current long-baseline interferometers. The main objectives of this proposal are: 1) development of the required new optical components and quantum noise analysis tools; 2) experimental demonstration, initially in proof-of-concept table-top experiments, followed by implementation in ETpathfinder, a unique cryogenic interferometer test facility; 3) verification of the SMI concept with complementary quantum technologies such as squeezed light; 4) development of a detailed SMI practical design for ET including a science case detailing possible improvements in astrophysics, cosmology and fundamental physics.

Keywords: gravitational waves observation,laser interferometery,quantum measurement,quantum non demolition,multi messenger astronomy,einstein telescope
Food science, technology and engineering - European Joint Doctorate training towards knowledge, skills and mobility (EJDFoodSci)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Joint Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany,Germany,Belgium,Belgium,Belgium,Poland,Denmark,United Kingdom,Denmark,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2016-09-01
End date: 2020-08-31
Duration (months): 48.0
Total project cost (EUR): 2078485.56
EU funding (EUR): 2078485.56
Participants: 10
Project status: CLOSED

The objective of the proposal is to train 8 early stage researches (ESR) in an innovative, international PhD program, to become top-class specialists and professional leaders, highly demanded in the job market, ready to introduce innovations and manage advanced research. The completion of the training programme will provide ESRs with appropriate knowledge, skills and awareness of the science-business reality, crucial for scientific and/or commercial based research projects. The training objectives will be achieved by participation in: -specialized courses, to gain: a) knowledge in food science, microbiology, malting and brewing technology, b) experience in using high-tech analytical equipment, c) managerial and business skills (generic skills, industrial economics, project management, research design and data analysis); -an international research project team, using the facilities of multi-institutional consortium; -academic and industrial internships. Consequently, ESRs will be awarded a double doctoral degree in food science and/or engineering. The main goals of the research are: 1) development of innovations in malting and brewing technologies (to reduce demand for energy) and new protocols for yeast preparation; 2) verification of their impact on the quality and stability of the products; 3) acquiring new scientific knowledge on formation and release of staling aldehydes. The consortium of top class universities, institutes and industrial partners, with an on-going history of co-operation, will provide an outstanding opportunity for young, ambitious and brave researchers to realize their potential. The academic organizations involved (University of Agriculture in Krakow PL, University of Copenhagen DK, University of Nottingham UK, University of Ghent BE, Technische University Berlin DE, and KU Leuven BE), will be supported by partners: VLB Berlin DE, FlavorActiV UK, Carlsberg Group DK and Boortmalt BE, to ensure well balanced research-business environment.

Keywords: malting,brewing,fermentation,barley,malt,innovations,energy,wort,yeast,flavour stability
Engineering de novo production of chlorinated polyketides in Pseudomonas putida (DONNA)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-02-01
End date: 2022-01-31
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: CLOSED

Sustainable economic development requires new biocatalysts to carry out novel, selective synthesis reactions in an environmentally-friendly fashion. Halogenated organic compounds, key products due to their multiple biological activities and industrial applications, continue to be produced via traditional chemistry and their efficient and cost-effective biosynthesis has not been yet achieved. In the present project, rooted in Metabolic Engineering and Synthetic Biology approaches, I will undertake a complete genetic and metabolic engineering of the model bacterium Pseudomonas putida KT2440 to create a platform for the bio-based production of chlorinated polyketides à la carte, which will contribute to the design of new drug analogues. I will establish and implement a clear roadmap from the extant bacterium to a re-factored version of the microorganism capable of efficiently producing chlorinated precursors, which will be channeled to the synthesis of new-to-nature chlorinated polyketides by reprogrammed modular polyketide synthases enzymes. Furthermore, the broad portfolio of halogenated molecules that can be synthetized with the cell factories from this project will contribute to the European knowledge-based bio-economy, enhance the EU's competitiveness in White Biotechnology and benefit the society as a whole. From a personal perspective, the implementation of this challenging and innovative project in The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain, the ideal scientific environment to pursue the tasks of DONNA), under the supervision of Dr. Pablo I. Nikel (an expert in the field of Metabolic Engineering of Pseudomonas), will be an unbeatable opportunity for both my professional and personal development. My solid scientific background, on the other hand, ensures a smooth progression as an independent researcher in the field of Metabolic Engineering that will result in a win-win situation for myself and the receiving laboratory.

Keywords: metabolic engineering,pseudomonas putida,synthetic biology,biohalogenation,novel natural products
Self-selection of a multivalent nanosystem for carbohydrate recognition (NANOCARB)

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: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-15
End date: 2017-04-14
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

The main objective of the NANOCARB project is to prepare the experienced researcher (ER) for an independent career through the implementation of a frontier research project and a training programme covering all aspects that are required for running a research group. The NANOCARB project has the scientific objective to build up an original method for the development of an innovative class of carbohydrate receptors using dynamic combinatorial chemistry (DCC) on the surface of a gold nanoparticle. Molecular receptors capable of carbohydrate recognition have a great potential in diagnostics and therapeutics. However, this prospective is still remote as it has turned out that designing synthetic receptor molecules able to selectively bind carbohydrates in water is very difficult. The distinguishing feature of this project is that the recognition site for the carbohydrate target is spontaneously formed, driven by the carbohydrate target itself. The self-selected recognition units will then be immobilized covalently on the gold nanoparticle, yielding a multivalent nanosystem able to recognize its target also in vivo. The project is on the interphase between chemistry, biology and nanotechnology providing an excellent opportunity for the experienced researcher (ER) to develop skills in these areas. Training excellence within the context of becoming independent researcher will involve manuscript and research proposal preparation, public engagement, IPR issues, networking, and conference organization. The project also benefits from external input and a secondment from other groups (Prof. Lay, University of Milan and Prof. Lombardi, University of Piemonte Orientale) in order to fill lacunes not available at the host institution. The combined package of scientific and training objectives will make the NANOCARB project an excellent platform for kick-starting the independent career of the ER and generating a strong visibility to the host institution.

Keywords: carbohydrate recognition,dynamic combinatorial chemistry,monolayer imprinting,multivalency,nanosystem,self selection
MassiVe MIMO Radio Channel- and Learning-based Indoor Passive Localization and Posture Identification for Multiple Humans (V.I.P.)

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: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2025-10-30
Duration (months): 24.0
Total project cost (EUR): 166320.0
EU funding (EUR): 166320.0
Participants: 1
Project status: SIGNED

The aim of the proposed V.I.P. project is to achieve passive localization and posture identification of multiple humans in indoor environment for assisted-living functionalities. We propose to use the temporal-spatial-delay domain radio channel properties with dedicated design of massive Multiple-Input Multiple-Output (MIMO) topology and configuration for specific physical environment, and use the neural-networks-based learning algorithm recognizing the interactions between the human form-factors (body type/shape, posture, motion) and the aforementioned indoor radio channel. Both simulation and measurement platforms will be built to estimate and measure the radio propagation resulting from the reconfigurable physical environment, multiple-antenna systems, and human form-factors. The proposed research is multidisciplinary, connecting networked systems, electromagnetism, smart building, human factors, and data science. It proactively combines MIMO radio networked system with smart building, targeting at identifying MULTIPLE humans with the help of neural networks. It is proposed by a female researcher with rich international experience, and is supervised by a female professor with top track record. The proposed research includes gender-dependent modelling and parameterization on the propagation mechanism of human-radio interaction, potentially using the double-layer reflection and the uniform theory of diffraction. The body postures are simplified into geometries with homogeneous dielectric, e.g. a standing/laying human as ellipsoid, sitting on the ground with legs crossed as triangle. Upon the completion of the research, training and networking of V.I.P., the researcher will profit from the first-hand experience on designing and developing the networked system for specific use case, developing neural-network-based pattern recognition methodology, as well as growing towards professional maturity from proposing, coordinating, finance managing, educating to impacting.

Keywords: distributed massive mimo,networked system,antennas and radio wave propagation,indoor,passive localization and posture identification,radio body interaction,multiple humans,machine learning
Whey2Value: Valorising waste whey into high-value products (WHEY2VALUE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Slovenia
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-2-2015, 2015)
Start date: 2015-11-01
End date: 2017-10-31
Duration (months): 24.0
Total project cost (EUR): 2545625.0
EU funding (EUR): 1781937.5
Participants: 1
Project status: CLOSED

ACIES BIO, a SME with a decade of profound experience and market understanding, has developed an innovative and disruptive technology already recognized within SME INST Phase 1 to address a major unsolved high-cost environmental challenge for the world’s dairy industry: acid waste whey. Around 200 million tons of waste whey is produced annually, of which nearly 50% goes unprocessed and ends up clogging the wastewater treatment stations or, in less regulated environments, is released into streams thus heavily polluting the environment. The W2V project aims to bring to market a unique patent-pending eco-innovation bioprocess to utilize acid waste whey as a primary ingredient for microbial fermentation to produce sustainable high value product. Its key objective is to launch production of organic vitamin B12 on the market through eco-innovative technology, which uses waste whey as input substrate and produces as a result high value product vitamin B12 and purified water. It is solving the unmet challenge of sustainable milk processing with Make-Use-Reuse principle: from milk industries (cheese production) through waste whey management to vitamin B12 production used for the animal feed additives industry and cleaned water reused in the dairy industry again. The implementation of W2V technology will greatly reduce the environmental footprint, lower the production costs and increase competitiveness of dairy companies. Particularly, W2V technology will be highly relevant for European dairy industry, where most companies consist of small-medium sized dairy factories, which cannot afford costly processing facilities for disposal of acid whey. W2V will generate an entirely new type of product for the EU and global markets: an organic vitamin B12-enriched microbial biomass, which can be used as very high quality animal feed, creating a perfect example of sustainable and economical circular zero-waste economy and bringing production of vitamin B12 back to Europe.

Keywords: whey wastewater,green industry,circular economy,eco technology,vitamin b12,animal feed additives
Analysing the heavy element factories of the Universe : photometric and spectroscopic sample study of kilonovae (GW)

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: Physics
Countries involved: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-11-01
End date: 2021-10-31
Duration (months): 24.0
Total project cost (EUR): 191852.16
EU funding (EUR): 191852.16
Participants: 1
Project status: CLOSED

The recent first detection of gravitational waves from a binary neutron star merger and its associated optical counterpart, the so-called 'kilonova', opened up a new era of multi messenger astronomy. The intense photometric and spectroscopic campaign that followed provided tantalising evidence that kilonovae are a prime source of heavy elements in the Universe. Nevertheless, with just a single event, and with only rudimentary theoretical models, it remains unclear how important kilonovae are in enriching the cosmos. This project aims to address this issue by building the first sample of kilonovae through dedicated follow-up observations of future compact binary mergers detected with the LIGO/Virgo gravitational wave detectors, which will soon come back online. The three principle objectives will be to (i) determine the ejecta mass distribution of kilonovae, (ii) identify the composition of kilonova ejecta and (iii) understand the progenitor systems of kilonovae from their host galaxies. Working with Jesper Sollerman and his GREAT group at Oskar Klein Centre, I will have access to ENGRAVE and GROWTH, which are two leading projects set up with the explicit goal to follow-up and monitor gravitational wave electromagnetic counterparts. The group at Oskar Klein Centre is leading vital research in theoretical modelling of compact object mergers. Combining observational resources, theoretical models and my analytical expertise in transient astronomy, this project promises to greatly contribute to the investigation of gravitational wave sources, kilonovae and the nucleosynthesis of heavy elements.

Keywords: kilonovae,transients,photometry,spectroscopy