Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Disruptive learning through the integration of mathematics and cognitive trainining (SMARTICK)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-08-01
End date: 2019-01-31
Duration (months): 30.0
Total project cost (EUR): 1651775.0
EU funding (EUR): 1156242.5
Participants: 1
Project status: CLOSED

This project is about perfecting Smartick, a leading online math training method, to introduce into the product a major new feature, so we can help millions of kids, mainly in Europe and Latin America, to improve their math and cognitive skills for learning. As shown by international studies such as PISA and TIMSS, math skills are in short supply and are very much needed to power the high-skilled jobs required by today’s society. Those jobs are needed if we want Europe to be competitive in a digital world currently dominated by the US, with some countries in Asia moving rapidly, with millions of highly skilled graduates coming out their universities every year. To achieve it, we will integrate cognitive training with Smartick Math, which will move Smartick strategic positioning into a non-occupied market space. With this unique product and the EC support, we will be able to sustain our current growth rate to reach over 100.000 clients and generate over €40M in revenues (with a ROI over 2100%) in a period of 5 years, and fulfil our potential as one of Europe’s ‘gazelle’ companies. With this project we want to: Develop the Math + Cognitive integrated product, in which math and cognitive training is customized to students’ profile with a unified algorithm. Product is scientifically validated at three levels, including measuring changes in neural activation with Electroencephalogram and Magnetic Resonance Imaging. Software is localized and international strategy is defined. We honestly believe that, bringing together our technical capabilities and existing access to thousands of children, with the know-how and scientific grounding of two well-respected research groups, we will be able to further improve Smartick to build a learning platform second to none in the world. With this project, at the end of the day, we want to help students in Europe improve their math skills to be better prepared for the technically qualified careers which Europe increasingly need.

Keywords: e learning,math learning,cognitive training,maths skills,intelligent algorithms,big data,data analysis,personalized learning,learning profile,gaming
Structural cell biology in situ using superresolution microscopy (CellStructure)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Austria,Germany
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-06-01
End date: 2024-05-31
Duration (months): 84.0
Total project cost (EUR): 1686469.38
EU funding (EUR): 143750.0
Participants: 2
Project status: SIGNED

Supra-molecular protein machineries control diverse cellular processes. Knowing their structural organization is crucial for understanding their function. As classical structural biology techniques are limited in studying such assemblies in their natural cellular environment, there is a critical methodological gap inhibiting a direct link between structure and function. Consequently, the structural intermediates underlying a full activity cycle of a large multi-protein complex have been impossible to visualize. Recent advances in fluorescence microscopy, in particular the development of groundbreaking superresolution microscopy (SRM) methods, can now help bridge this gap. With this interdisciplinary proposal, my group will develop unique and innovative optical, biological and computational imaging technologies to determine the structural organization of multi-protein assemblies in their functional cellular context. We will reach this goal by developing a method to robustly measure the precise 3D arrangements of proteins in supra-molecular assemblies in situ with nanometer isotropic resolution based on supercritical-angle detection and by measuring their absolute stoichiometries with engineered counting standards. We will also develop new data analysis tools to statistically analyze such data, taking into account the functional cellular context measured with correlative superresolution and electron microscopy, multi-color SRM and molecular biology tools. We will apply these new methods to address key questions on endocytosis, a fundamental membrane trafficking process. Our aim is to determine a time-resolved 3D superresolution localization map of the yeast endocytic proteins during the major functional transitions and to integrate these data into a mechanistic model of endocytosis. Importantly, the methods we develop here can be applied to many other large protein-based machines, and thus have the potential to have high impact in other key areas of cell biology.

Keywords: superresolution microscopy,endocytosis
Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint (SNOWISO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Norway,Denmark
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2024-06-30
Duration (months): 78.0
Total project cost (EUR): 1497260.0
EU funding (EUR): 1497260.0
Participants: 2
Project status: SIGNED

For the past 50 years, our use of ice core records as climate archives has relied on the fundamental assumption that the isotopic composition of precipitation deposited on the ice sheet surface determines the ice core water isotopic composition. Since the isotopic composition in precipitation is assumed to be governed by the state of the climate this has made ice core isotope records one of the most important proxies for reconstructing the past climate. New simultaneous measurements of snow and water vapor isotopes have shown that the surface snow exchanges with the atmospheric water vapor isotope signal, altering the deposited precipitation isotope signal. This severely questions the standard paradigm for interpreting the ice core proxy record and gives rise to the hypothesis that the isotope record from an ice core is determined by a combination of the atmospheric water vapor isotope signal and the precipitation isotope signal. The SNOWISO project will verify this new hypothesis by combining laboratory and field experiments with in-situ observations of snow and water vapor isotopes in Greenland and Antarctica. This will enable me to quantify and parameterize the snow-air isotope exchange and post-depositional processes. I will implement these results into an isotope-enabled Regional Climate Model with a snowpack module and benchmarked against in-situ observations. Using the coupled snow-atmosphere isotope model I will establish the isotopic shift due to post-depositional processes under different climate conditions. This will facilitate the use of the full suite of water isotopes to infer past changes in the climate system, specifically changes in ocean sea surface temperature and relative humidity. By establishing how the water isotope signal is recorded in the snow, the SNOWISO project will build the foundation for future integration of isotope-enabled General Circulation Models with ice core records; this opens a new frontier in climate reconstruction.

Keywords: ice core records,water stable isotopes,snow air exchange,post depositional snow processes
Analysis and Risk Mitigation measures for Induced Seismicity in supercriTICal gEothermal systems (ARMISTICE)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

Combining together carbon capture and storage (CCS) and exploitation of supercritical geothermal systems (SCGS) in volcanic areas, potentially a very large clean energy resource, could open the door to a whole new cutting-edge technology and contribute to the fight against global climate change. CCS-SCGS systems are widely unexplored and constitute a very challenging problem that involves complex coupled processes of multi-phase and multi-component flow in porous media, geomechanics and seismicity. Subsurface fluid injection technologies bear an intrinsic risk of inducing earthquakes by fault re-activation. Predicting injection-induced seismicity is complicated and challenging from a numerical perspective due to the discontinuous nature of faults. ARMISTICE explores for the first time the possibility of safely combining CCS and SCGS technologies by coupling CO2 flow models, developed by the host, to the high-temperature rheology of rock and faults, developed by the ER. Current models of subsurface flow of CO2 and H2O systems are limited to water’s subcritical temperature: in WP1 we address the problem by incorporating the full-range of fluids’ equation of state to determine the optimal conditions for employing CO2 as a geothermal fluid in volcanic areas. We will achieve the objective thanks to the complementary experience of the ER on SCGS and of the host on CCS. Based on the results of flow behavior, in WP2 we will determine the potential for induced seismicity in CCS-SCGS systems and the conditions for safe exploitation. Once again, the decisive advantage to a successful implementation will rely on the complementary nature of the ER past work on fractures and discontinuity modelling, and the one of the host on fluid injection-induced seismicity. ARMISTICE will be strongly based on a career development plan backed by training on multi-phase and multi-component fluid flow, CCS and transferable skills that will make the ER a global leader in geoenergies research.

Keywords: supercritical geothermal systems,injection induced seismicity,carbon capture and storage,coupled thermo hydro mechanical processes,fault stability and reactivation,multi phase subsurface flow
Voting on the future: Imaginaries and motivations in referendum decisions against extractive industries in Colombia. (VOTEF)

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: Sweden
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): 203852.16
EU funding (EUR): 203852.16
Participants: 1
Project status: CLOSED

For countries in the global south, extractive industries can provide governments with a shortcut to economic development. For countries in the global south, extractive industries can provide governments with a shorcut to economic development. However, many communities where those project would take place reject them upfront and advocate for development of a different kind. In a unique and recent phenomenon, local communities in Colombia are organising referendums that halt resource extraction altogether. Since their appearance, very little research has been done to understand this phenomenon. Voting for or against a particular extractive project gathers an array of values, motivations and imaginaries that go beyond endorsement or rejection. Yet, voting in a certain way need not mean unity of opinions, and can obscure the struggles of campesinos and ethnic minorities for equality and access to land. Colombia’s legal framework permits citizens to call for referendums to decide issues that affect them. Wanting to vote for or against extractivism implies a desire to define the terms of the future in a region. The objective of this project is to explain the role of referendums against and in favour of extractive industries in articulating, or not, alternatives to extractivist development. It will do so by questioning whether a No to extractivism means a Yes to an alternative path to development, or if it means the continuation of the current social struggles. This in-depth study will employ ethnographic fieldwork, including participant-observation, interviews, and photography, to document the practices and discourses of actors involved in referendums. Referendums in Colombia provide insight of the wider trend of plebiscite democracy (e.g. Colombian peace and corruption referendums, Brexit, Catalonia) as supplement to institutional democracy (e.g. centralised, technocratic), in which casting a vote means more than endorsement or rejection of a particular political project.

Keywords: referendums,colombia,political ecology
Prescient building Operation utilizing Real Time data for Energy Dynamic Optimization (PRELUDE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies enabling energy-efficient systems and energy-efficient buildings with a low environmental impact
Action type: Innovation actions
Countries involved: Italy,Austria,Italy,Spain,Italy,Spain,Germany,Spain,Spain,Italy,Italy,Finland,Greece,Switzerland,Greece,Switzerland,Belgium,Greece,Poland,United Kingdom,Denmark
Call: Smart Operation of Proactive Residential Buildings (IA) (H2020-NMBP-ST-IND-2020-singlestage, 2020)
Start date: 2020-12-01
End date: 2024-05-31
Duration (months): 42.0
Total project cost (EUR): 9579799.58
EU funding (EUR): 7864186.25
Participants: 26
Project status: SIGNED

PRELUDE will facilitate the transition to clean energy by combining innovative, smart, low-cost solutions into a proactive optimization service. The project is focused on assessing the right level of smartness necessary for any given household and then providing the optimal tools according to the needs of the user (occupant or tenant, owner or manager and energy service provider). It is designed to be versatile and adapt to the engagement level and monitoring and automation level of the building, motivating them to invest by increasing engagement and the smartness of the household. Passive solutions, such as natural ventilation and cooling will be prioritized through a free running strategy to reduce the energy consumption of mechanical HVAC. Predictive maintenance will be implemented to reduce maintenance and repair costs, emphasizing RES. Big data and advanced analytic tools will be used to facilitate flexible building-side demand and ease the integration into district heating and electricity grids. Proactive optimization will be achieved through data predictive control. These components will be interfaced through cloud middleware to deliver a highly interchangeable and interoperable solution. PRELUDE is designed as an optimization service, providing clear and pertinent feedback and suggesting retrofitting actions on a cost-efficient basis through dynamic building renovation passports. The project’s innovations will be demonstrated in a wide spectrum of applications: individual multi-apartment buildings in Turin and Geneva, large scale residential in Krakow, social housing in Athens, detached modern nZEBs in Denmark and on a district scale in the Municipality of Aalborg. Each of these cases featuring unique challenges and benefits for the users. PRELUDE will achieve energy savings exceeding 35% by leveraging both occupant and building operations. Similarly, maintenance and repair costs will be reduced by over 39%.

Keywords: free running,model based predicted control,dynamic building simulation,demand side flexibility,proactive buildings,predictive maintenance,occupancy models,smartness assessment
Cognitive Robotic System for Digitalized and Networked (Automated) Insect Farms (CoRoSect)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Italy,Spain,Spain,Spain,Italy,Serbia,Belgium,Finland,Finland,Greece,Lithuania,Norway,Bulgaria,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Robotics in Application Areas and Coordination & Support (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 8189650.0
EU funding (EUR): 6995567.5
Participants: 19
Project status: SIGNED

By 2030 over 9 billion people, along with animals raised for food or kept as companions, will need to be fed generating inconsistencies between the demand and supply of food resources and promoting food insecurity by rendering food as unavailable, unaffordable, unevenly distributed or unsafe to eat. Therefore, food security represents the big challenge of the 21st century and in that context one promising potential sustainable solution is insect farming. Edible insects are set to be approved in EU by late 2020 as novel food and insects also being a value food sources for farming animals; however research, innovation, farming protocols development and standardization, and a technology leap by robotizing and automatizing the mass rearing in insect farms is needed in order to concurrently scale the production and dramatically decrease the production costs. CoRoSect addresses the dramatic need of coupling research on bionomics and life cycle of insects intended to be used as food and feed, with new robotic tools and protocols for mechanization and automation of insect farming, which is a critical point stressed by the Technical Expert Consultation on Assessing the Potential of Insects as Food and Feed in Assuring Food Security. CoRoSect forms a novel integrated cognitive robotic ecosystems where the repetitive but also cognitively and physically demanding tasks requiring increased manual effort or continuous human supervision during the insects’ lifecycle, are replaced by automatic robotic-based procedures which will also draw upon research performed on understanding biological, technical and economic requirements of insect rearing and optimizing all involved processes. Focusing on real insect rearing problems, CoRoSect technologies will evaluated through large-scale pilots in 5 insect farms placed in 5 European countries rearing three of the most commonly occurring species, thereby contributing essentially to a secure and sustainable food supply in Europe.

Keywords: robotics for automated insect farms,cognitive robotics,robotics for food production
System for detection of Threat Agents in Maritime Border Environment (SafeShore)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Research and Innovation actions
Countries involved: Italy,Israel,Bulgaria,Romania,Belgium,Belgium,Belgium,Czechia,United Kingdom
Call: Maritime Border Security topic 2: affordable and easily deployable technologies for EU coastal border surveillance with reduced impact on the environment (H2020-BES-2015, 2015)
Start date: 2016-05-01
End date: 2018-12-31
Duration (months): 32.0
Total project cost (EUR): 5133582.5
EU funding (EUR): 5133582.5
Participants: 13
Project status: CLOSED

The main objective of the SafeShore project is to cover existing gaps in coastal border surveillance, increasing internal security by preventing cross-border crime such trafficking in human beings and the smuggling of drugs. It is designed to be integrated with existing systems and create a continuous detection line along the border. One of the treats to the maritime coast are small Remotely Piloted Aircraft Systems (RPAS) which can carry explosives or which can be used for smuggling drugs, boats and human intruders on the sea shore. The SafeShore core solution for detecting small targets that are flying at low attitude is to use a 3D LIDAR that scans the sky and creates above the protected area a virtual dome shield. SafeShore will also integrate the 3D LIDAR with passive acoustic sensors, passive radio detection and video analytics. One of SafeShore specific objectives will be to cover 1500-m1800m along the coastal border. This will be done with 3 mobile platforms. Each one of those will cover itself with a dome-shaped virtual detection shield with a radius of about 250m to 300m. There will be approximately 50 meters overlapping between the platforms. The overlapping will create a continuous detection shield along the shore. The SafeShore objective will be to demonstrate the detection capabilities in the missing detection gaps of other existing systems such as costal radars, thereby also ensuring the fusion of information and increasing the situational awareness and better implementation of the European Maritime Security Strategy based on the information exchange frameworks, EUROSUR and EUCISE 2020. All SafeShore objectives are measurable, realistic and achievable within the duration of the project, as the SafeShore project will build 3 prototypes that are going to assess the accomplishment of the objectives. Three end-user scripted and end-user validated field trials will be set up to validate these systems: in the North Sea, Black Sea and Mediterranean.

Keywords: maritime surveillance,rpas detection