Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Visual perception in Context (CONTEXTVISION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-04-01
End date: 2021-03-31
Duration (months): 60.0
Total project cost (EUR): 1499421.0
EU funding (EUR): 1499421.0
Participants: 1
Project status: CLOSED

Everything occurs in a context. We see a car in the context of a street scene and a stove in the context of a kitchen. Context greatly helps the processing of individual objects. Surprisingly however, context hardly plays a role in most models of visual perception, which treat perception as a largely bottom-up categorization process. In this research proposal, I will examine how context changes the cortical computations that give rise to visual perception, focusing on contextual modulations in space and time. Moreover, I will translate this research to a clinical condition that is marked by aberrant context modulations in perception. Firstly, I will examine the influence of spatial context from the surround on cortical processing of individual elements. I aim to uncover the neural mechanisms responsible for the contextual facilitation of features and objects. I hypothesize that spatial context constrains sensory input by changing sensory representations at earlier stages in line with expectations at higher-order stages of perceptual analysis. Secondly, I will examine the influence of temporal context from past history. I hypothesize that temporal contexts trigger cortical waves of neural ‘preplay’ activity, setting up time-varying templates of expected incoming visual input. Thirdly, I will test the clinical significance of this framework to understand perceptual atypicalities in Autism Spectrum Disorder (ASD). I will empirically test the hypothesis that ASD is marked by deficient processing of contextual information, in both the spatial and temporal domain. This integrative approach has the potential to significantly advance theoretical models of perception, based on underlying neurobiology, and underline the importance of context for understanding perception. Moreover, the knowledge gleaned can have significant societal and clinical impact.

Keywords: context,expectation,predictive coding,object recognition,fmri
A revolutionary quality indicator platform for the food industry (MultiSens)

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: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-02-01
End date: 2019-07-27
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

The aim of MultiSens is to develop a revolutionary quality indicator platform for the food industry. This innovative intelligent packaging platform will alert the customer of the meat quality adding value and benefits across the food packaging supply chain, reducing waste, providing valuable end user feedback and help Europe maintain a market competitive advantage. In the EU alone, food waste along the supply chain has been estimated at approximately 89 million tonnes or 180 kg per capita per year, and is expected to rise to 126 million tonnes a year by 2020, unless action is taken. Currently households produce the largest share of EU food waste (42%) and experts estimate that reducing food waste at consumer level in developed countries by 30% could save roughly 400,000 sq/km2 of cropland by 2030. Normally, food products are packed in a Modified Atmosphere (MA), which consists of a mixture of gases optimised for the food being packaged. Tracking the composition inside the packages can be checked if this MA has been consistent or if the produce has already started to deteriorate. However, a non-destructive method for determining this MA has not, as yet, been reported. This project proposes to exploit the development and integration of a multi-membrane sensor in meat packages using imaging and communication capabilities of smart devices for freshness detection while employing innovative packaging methods for sensor integration. If the sensor is placed within / or on the package in such a way that it is in intimate contact with the packaged meat headspace, it will allow the monitoring of key gases within its surroundings and relay information about the quality of the meat. The economic and social impact of such a platform, even if reducing food produce waste by 10%, would be significant. The novelty of this project lies in high-quality sensor preparation, the innovative methods for sensors immobilisation and the easy, non-destructive method for detection.

Keywords: quality indicator,gas sensors,food safety,printable sensors,3d sensing platforms
smaXtec 4.0 – multifunctional Dairy Cattle Sensor System for a proactive productivity and health management in Dairy Farming (ProDairyWelfare)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Austria
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2017-02-01
End date: 2019-01-31
Duration (months): 24.0
Total project cost (EUR): 1803750.0
EU funding (EUR): 1262625.0
Participants: 1
Project status: CLOSED

Dairy farming is facing major challenges regarding a sustainable and cost-efficient growth. Total world milk production is estimated to grow from 819 million ton in 2014 to 1059 million ton in 2025. Key EU and global issues are the need for improved animal health as a precondition for higher productivity and environmental sustainability and new governmental regulations regarding food safety and traceability. Resource efficiency is an important topic regarding the use of limited land and feedstuff in order to reduce the environmental footprint of dairy farming and to help farmers optimize costs and increase average milk yield. The traditional structure of dairy farms is increasingly transformed into modern milk production farms. In this complex setting smaXtec is offering a solution for the herd management regarding the automated monitoring of animal health, breeding and optimal feeding. Based on the unique cross cutting know-how of the physiology and nutrition needs of cows on one hand and ICT technologies as sensors, wireless communication, software programming and artificial intelligence on the other hand, an integrated system has been developed. The overall objective of the innovation project is to optimize and commercialise a real time Decision Support Tool for a proactive healthcare management of cows. The aim is to assist the user by giving automatically generated clear advice on further actions “Calls for Actions”. Due to the immediate realization of benefits an ROI can be achieved within a few months. An increase in feed efficiency, improved fertility, increased longevity and savings on veterinarian treatment costs is estimated to lead to an average overall increase of yearly profit of 11%. smaXtec is specifically addressing the worldwide market segment for dairy herd management tools with an expected market volume of $1,5 billion by 2018 and a CAGR of 13%. Europe will have one of the highest adoption rates for these products.

Keywords: dairy,cattle,monitoring,data analysis
The Next Generation Simulation-Based Training System for Optimal Transportation Systems (TranSim)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Sweden
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-05-01
End date: 2017-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Heavy industries such as transport or construction impose strict working conditions in terms of safety, economy and quality, and rely on professional drivers and operators (e.g. for trucks, excavators), with precise skills and manoeuvre expertise. For transport, 47% of EU distribution is by land (70% in the US), and 90% of the world trade is maritime, requiring cranes and guided vehicles for cargo and palletized loading. Due to their mass and cargo, all heavy machines pose the following challenges: work accidents with human casualties and machine damage, excessive fuel consumption and wear and tear by inefficient operating, difficult access to jobs and lack of qualified personnel. Tractor accidents are the leading cause of deaths and disabling injuries on farms. In 2015 employers from 42 countries reported considerably more difficulty recruiting drivers (5th position), while the production/machine operator category entered top 10 in lack of personnel. With 20 years of heavy industry solutions expertise, at TENSTAR SIMULATION AB we are bringing an innovative solution to these problems, by developing the most advanced Simulation Based Training Tool on the market, with unique features and functionalities such as: Virtual Reality, Customized Defined Training through Advanced Data Analytics, Multi-Machine Environment with realistic traffic and operational environments. Our main clients are professional training centres that seek to optimize the time and cost spent on training and to deliver higher qualified workers. We show that our new core skill development and assessment solution will stimulate job creation for women and young people. Our project TENSTAR SIMULATOR V3 builds on our V2 solution which we now successfully commercialize in 6 European and 2 African countries. By bringing our technology beyond the state of the art and increasing our sales force, we aim to expand in the EU and to increase our client portfolio to Latin America and USA.

Keywords: simulation based training tool,customized defined training,multi machine environment,data analytics,efficient driving,transportation sector
Quantum Microwave Communcation and Sensing (QMiCS)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Tackling grand interdisciplinary science and technology challenges
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Germany,Finland,France,United Kingdom,Portugal
Call: FET Flagship on Quantum Technologies (H2020-FETFLAG-2018-03, 2018)
Start date: 2018-10-01
End date: 2022-03-31
Duration (months): 42.0
Total project cost (EUR): 2999595.0
EU funding (EUR): 2999595.0
Participants: 8
Project status: SIGNED

The mission of QMiCS is to combine European expertise and lead the efforts in developing novel components, experimental techniques, and theory models building on the quantum properties of continuous-variable propagating microwaves. QMiCS’ long-term visions are (i) distributed quantum computing & communication via microwave quantum local area networks (QLANs) and (ii) sensing applications based on the illumination of an object with quantum microwaves (quantum radar). With respect to key quantum computing platforms (superconducting circuits, NV centers, quantum dots), microwaves intrinsically allow for zero frequency conversion loss since they are the natural frequency scale. They can be distributed via superconducting cables with surprisingly little losses, eventually allowing for quantum communication and cryptography applications. Radar works at gigahertz frequencies because of the atmospheric transparency windows anyways. Scientifically, QMiCS targets a QLAN demonstration via quantum teleportation, a quantum advantage in microwave illumination, and a roadmap to real-life applications for the second/third phase of the QT Flagship. Beneath these three grand goals lies a strong component of disruptive enabling technology provided by two full and one external industry partner: the development of a microwave QLAN cable connecting the millikevin stages of two dilution refrigerators, improved cryogenic semiconductor amplifiers, and packaged pre-quantum ultrasensitive microwave detectors. The resulting "enabling" commercial products are beneficial for quantum technologies at microwave frequencies in general. Finally, QMiCS fosters awareness in industry about the revolutionary business potential of quantum microwave technologies, especially via the advisory third parties “Airbus Defence and Space Ltd” and “Cisco Systems GmbH”. In this way, QMiCS helps placing Europe at the forefront of the second quantum revolution and kick-starting a competitive European quantum industry.

Keywords: propagating quantum microwaves,distributed quantum computing,quantum local area network,quantum illumination,quantum radar
IMaging Pancreatic Alpha-cells Calcium Tied with HEterogeneous Analysis of Labeled Transcription factors with in situ Hybridization (IMPACT-HEALTH)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-17
End date: 2020-09-16
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

Excess of plasma glucagon is frequently reported in diabetic patients, a misregulation that exacerbates hyperglycemia, a major complication of diabetes. This has spurred research into alpha-cell function and glucagon regulation, to find potential treatments, independent from insulin, for diabetes. To normalize glucagon secretion as a therapeutic strategy, it is crucial to have a better understanding of its regulatory mechanisms and the expression of specific genes regulating those mechanisms. Unfortunately, there is no consensus model explaining the regulation of glucagon secretion from pancreatic alpha-cells. However, calcium is known to be required for glucagon secretion, but its role is not completely understood. We propose to evaluate the role of free calcium activity across islet α-cells in the regulation of glucagon secretion from mice, using a custom built light-sheet fluorescence microscope, allowing fast three-dimensional imaging for an extended amount of time. The interest will be focused on the heterogeneity of the response, which forms subpopulations of α-cells. After, the attention will be addressed in discovering cellular expression patterns of transcription factors known to be relevant in alpha-cells through immunofluorescence, and to determine how these regulate their target genes using single molecule Fluorescence In Situ Hybridization (smFISH). Particular attention will be focused on correlating the heterogeneities of calcium activity in subpopulations of alpha-cells with their differential gene expression. By finding this differential expression, it will be possible to target specific genes in order to trigger various single-cells behaviors and discover novel therapeutic targets.

Keywords: light sheet,calcium imagng,glucagon,in situ hybridization,transcription factors,heterogeneity
Co-production of seasonal representations for adaptive institutions (CALENDARS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Norway,New Zealand
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 1489426.0
EU funding (EUR): 1084021.0
Participants: 2
Project status: SIGNED

Climate change may be undermining the stock of seasonal representations that society draws on to understand and live according to the weather. The CALENDARS project studies how modern society represents seasons, and how these representations shape institutions and help people live with seasonal change. The project opens an important emerging field in climate adaptation research by examining the representations of ‘normal’ seasons underlying key institutions, assesses their quality for successful adaptation to rapid climate change, and analyses facilitators and barriers to adopting representations more flexibly to new climates. It contributes a novel perspective on how to transform our institutions – from schools to farmer cooperatives – from the foundational culture and representations up, to better fit the changing seasonal cycles we are experiencing. CALENDARS empirically explores the relationship between different institutions’ ideas of seasons and their successful adaptation through an in-depth comparative study of a set of institutions in two local communities, in Norway and New Zealand. It is steered by an overall objective to: ‘Advance knowledge and understanding of how seasonal representations shape and are shaped by institutions, and critically appraise the quality of these representations for contributing to successful adaptation to seasonal change’. Conceptually, CALENDARS looks at representations as continuously ‘co-produced’ at the boundary of nature and society, and society and institutions. It tests a novel reconceptualisation of co-production as a prism; with each of the project’s three phases looking at the complex processes by which representations emerge through different ‘lenses’ of co-production. Methodologically, the project tests the feasibility of a novel basket of bespoke methods spanning narrative interviews, calendar boundary objects and collaborative sustainability science.

Keywords: climate adaptation,seasonal representations,institutions,co production
From non-ideal magnetohydrodynamics to the structure and evolution of protoplanetary discs (MHDiscs)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: France
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-09-01
End date: 2025-08-31
Duration (months): 72.0
Total project cost (EUR): 1784300.0
EU funding (EUR): 1784300.0
Participants: 1
Project status: SIGNED

Circumstellar discs are the birthplaces of planets. They form around young protostars and dissipate in a few million years. Modern submillimeter and optical telescopes such as ALMA and VLT/SPHERE are now able to resolve thin structures in the bulk of these objects, such as rings, crescents, spirals and winds, probing the very origin of planetary systems similar to our own. Our current understanding of these discs relies on a very crude modelling of a hypothetic magneto-hydrodynamic (MHD) turbulence thought to play an essential role in the evolution and structure of these systems. However, there is now compelling theoretical and observational evidence that these discs are weakly turbulent, if not laminar, because of their low ionisation fraction and thus poor coupling to the magnetic field. This suggests that subtle MHD processes are driving the dynamics of these objects. Moreover, my recent theoretical breakthroughs demonstrate that these gaseous discs are subject to self-organisation and magneto-thermal winds. These processes play a key role for the disc as they can control its radial structure and evolution. I propose that computing global non-ideal MHD models from massively parallel numerical simulations will shed a new light on these processes, connecting the long-term evolution of these discs to the formation of large scale structures seen by ALMA and SPHERE. We expect MHDiscs to provide reliable global evolution models by coupling gas dynamics to dust and irradiation. These models will be used to predict discriminant observables of the processes I propose, setting the stage for a deeper understanding of the formation of planetary systems.

Keywords: numerical technics for astrophysics,magnetohydrodynamics
RE-EURECA-PRO – REsearch and innovation dimension of the European University on REsponsible Consumption And PROduction (RE-EURECA-PRO)

Framework: Horizon 2020 — Science with and for Society
Action type: Coordination and support actions
Countries involved: Germany,Spain,Austria,Greece,Poland,Romania
Call: Support for the Research and Innovation Dimension of European Universities (Part II) (H2020-IBA-SwafS-Support-2-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 1998750.0
EU funding (EUR): 1998750.0
Participants: 7
Project status: SIGNED

Montanuniversitaet Leoben (Austria), Technical University Bergakademie Freiberg (Germany), University of Petrosani (Romania), University of Leon (Spain), Technical University of Crete (Greece), Silesian University of Technology (Poland) and Mittweida University of Applied Sciences (Germany) have joined forces to create a strong and unique European University in the field of Responsible Consumption and Production (RCP): EURECA-PRO. As one of the successful European University Alliances of the second call of the Erasmus+ call for proposals, EURECA-PRO intends to now expand its project in the field of research and innovation. The overall objective of this RE-EURECA-PRO proposal is to enhance the research and innovation dimension and thus transformative potential of the EURECA-PRO Alliance, in line with its shared, integrated, long-term 2040 vision and mission as well as in synergy with its extensive education dimension as set out in the EURECA-PRO Erasmus proposal submitted in February 2020.

Keywords: european universities,research,innovation,human resources,societal engagement,life long learning,sdg12