Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Promoting the Efficiency of the European Online Games Industry through an adaptive gaming platform and portal. (Gamebooster)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Germany
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Currently no platform actively optimises social games, causing low engagement, low user retention, and consequent low revenue turnover. This hobbles the European game industry as over 80% of EU-based game creators are SME’s with an average of 10 employees and almost always under 100. As a result, it is expected that Europe will lose a significant share of social gaming markets, with VC-backed US and Chinese ventures taking over 50% of the market by 2020. The Gameboost system deploys machine learning algorithms to dynamically improve the user experience through enhancing gameplay and aesthetics within social and web-based games, and optimising searching and recommendations on the Gameboost HTML5 platform. The platform continuously improves the user experience based on both consumer and community behaviour. In comparison to other social gaming platforms and app platforms like the Google Play Store, the App Store, and Facebook, user privacy is protected by only harvesting data relevant to the platform and not selling it in a firehose format, allowing illegal data gathering and profiling by state entities, or unwanted solicitation from commerce platforms like Twitter and Amazon. Our primary method of revenue generation is serving ads to our users in video format, and providing our in-game optimisation capacity to game developers in a Software as a Service model. Other revenues will be generated via the freemium model with users being able to make in-app purchases as is common with other social and web-based games.

Keywords: enabling technology,dynamic improvement,industry development,gaming,social gaming,machine learning,software as a service,saas
Advanced Superconducting Motor Experimental Demonstrator (ASuMED)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Russian Federation,Slovakia,France,Netherlands,United Kingdom,United Kingdom
Call: Breakthrough innovation (H2020-MG-2016-Two-Stages, 2016)
Start date: 2017-05-01
End date: 2020-08-31
Duration (months): 40.0
Total project cost (EUR): 4776226.25
EU funding (EUR): 4007476.25
Participants: 10
Project status: CLOSED

Air traffic is projected to grow worldwide by 5% per year resulting in increasing fossil fuel consumption and emissions. Previous studies have shown that hybrid-electric distributed propulsion (DP) in civilian aircraft offers a route to achieve the massive reductions in fuel consumption and emission targeted by Flightpath 2050. These studies identify the necessity of potential superconducting solutions to achieve the required power densities and efficiencies. However, no suitable superconductive motor is available to realize DP in large aircraft and no prototypes have been constructed with this aim. The purpose of the project is to demonstrate the benefits of a new fully superconducting motor with a power density of 20kW/kg. In particular, the ASuMED project will: design an appropriate motor topology, develop a high-temperature superconducting (HTS) stator with an electric loading of >450kA/m, develop a rotor using HTS stacks operating like permanent magnets providing an average magnetic loading of >2.5 T, integrate a magnetization system into the stator area, implement a light, highly efficient cryostat for the motor combined with an integrated cryogenic cooling system and associated power converter. The above technologies will be demonstrated in a prototype with approximately 1 MW power at 10.000rpm and a thermal loss <0.1%, showing scalability to higher power values. In addition to the motor development, new active cooling designs will be investigated and novel numerical methods will be developed for 2D modelling of superconducting motors at the level of individual turns in the windings and for 3D modelling of motor components. Moreover, an innovative modular inverter topology with enhanced failure protection will be designed, to realize the highly dynamic and robust control of superconducting machines. After assembly of the overall motor, final tests will evaluate the technology´s benefits and allow its integration into designs for future aircraft.

Keywords: distributed propulsion,high performance electric motor,high temperature superconductivity,cryocooling,numerical modeling,power converter
CodeIT Electronic Manufacturing Record Book (eMRB)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Norway
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-07-01
End date: 2019-11-30
Duration (months): 29.0
Total project cost (EUR): 1762186.25
EU funding (EUR): 1233530.38
Participants: 1
Project status: CLOSED

The objective of the eMRB project is commercialise and bring to market the first and only worldwide cloud based software solution specifically for the automatic creation and validation of digital Manufacturing Record Book (MRB) - a major advancement on current state-of-the-art and our unique selling point. CodeIT eMRB is a ICT disruptive software solution for the automated creation of comprehensive electronic documentation for design, production, operation, testing and delivery of products that require stringent documentation from a product lifecycle perspective, and where continuous track and traceability is a key requirement. The overall objective of the eMRB Phase 2 project is to address and implement the findings of our SME Phase 1 Feasibility Study (EVCAM#2016/102728) to enable rapid and successful commercialisation of eMRB. We have outlined a series of Commercialisation Objectives that can be grouped in 3 categories and achieving them will bring us to a wide international market uptake: 1) Technology maturation objectives will optimise eMRB functionalities prior to piloting at end-user’s facilities. Objective is to raise the TRL of our technology from its current TRL6 to TRL8 (WP1). 2) Pilot and validation objectives to demonstrate and validate the commercial potential of eMRB in actual end user operating environments across two different industrial market sectors (Offshore/Maritime) together with three end users; Quality Group AS, TTS NMF GmbH and Techni AS. The piloting activities will elevate eMRB from TRL8 to 9 (WP2-3). 3) Market maturation, communication and innovation management objectives enabling us to successfully bring eMRB to the market and reach sales traction post-project (WP4-6). Through eMRB we will significantly boost our growth – quantified as accumulated revenues exceeding €46m for the 5-year post-project (2023) with accumulated gross profit of more than €15m and employment growth of at least 45 FTEs at CodeIT and 250 in our value chain.

Keywords: manufacturing record book,document management,saas,cloud computing,track and traceability
Miniaturised Hall effect propulsion for small satellites (EXOTRAIL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-10-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The space industry is rapidly evolving from a world where bus-sized satellites are being developed during years and for more than 200M$ towards a world where shoebox-sized satellites are being designed, built and launch for less than 1M$ and in less than a year. Constellations of these small satellites are delivering services in Earth observation and telecommunication. Due to this revolution, the small satellite market is growing at 20% per annum – 2.9Bn$ in 2017, 7.5Bn$ in 2022. However, these constellations suffer from a great lack of agility. Propulsion systems were poorly or not miniaturised, causing small satellites to be unable to change their orbit after launch. This induces high launch costs, no choice of the operational altitude and poor performances. Exotrail’s vision is to provide and sell this agility to the space industry. The first way we do this is by providing an affordable and efficient propulsion system for constellation of small satellites along with a set of software add-ons to design, optimise and operate propulsion manoeuvres. With electric propulsion, our customers can double their picture resolution, divide by two their launch costs, increase their telecommunication coverage and multiply their lifespan by a factor up to 20. Our miniaturised thruster using Hall effect technology minimises the power consumption compared to competing solutions. Because of this, we are able to greatly reduce the total cost of using propulsion for our customers. These competitive advantages have created strong customer interest for Exotrail including two letters of intent. Our thruster will be ready for the market in 2019. Our ambition is to become a global provider of agility by selling inspection, delivery and assembly services thanks to a fleet of light and agile vehicles equipped with our Hall effect thruster. The on-orbit servicing era will entirely disrupt the space industry in the next 10 years, and Exotrail will be part of this revolution.

Keywords: hall effect thruster,electric propulsion,in orbit services,orbit transfer,in orbit inspection,in orbit assembly
African Abolitionism: The Rise and Transformations of Anti-Slavery in Africa (AFRAB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 2499951.0
EU funding (EUR): 2499951.0
Participants: 1
Project status: SIGNED

The historiography of Euro-American abolitionism is so vast that it has a history of its own (Brown 2006). By contrast, research on African abolitionism is a narrow field focused primarily on European anti-slavery activities. It presupposes that when Europe abolished slavery in Africa, Africans became abolitionists. This conclusion is unfounded. Many general questions have never been asked: When and where did African abolitionist movements develop? Who are the main ideologues of African abolitionism? How did abolitionism spread, among which groups? What forms of political struggle did African anti-slavery give rise to? While individual African abolitionists and regional movements have attracted limited attention, there is no major review of the phenomenon on a continental scale. AFRAB fills this gap. It contributes to African and global history and slavery studies by analyzing and comparing African abolitionist ideas and anti-slavery movements, the long-term consequences of European abolitionism, and the resilience of pro-slavery discourses.

Keywords: slavery,abolition,abolitionism,africa,colonialism,missions,ngos,activism,social movements,resistance
Prebiotic Functional Enhancement of Rumen Microbiomes (RUMIC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Canada
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2023-03-31
Duration (months): 36.0
Total project cost (EUR): 251434.56
EU funding (EUR): 251434.56
Participants: 2
Project status: CLOSED

Dr. Greta Reintjes proposes to work with Dr. Wade Abbott at the Lethbridge Research and Development Centre of Agriculture and Agri-Food Canada, to investigate the Prebiotic Functional Enhancement of Rumen Microbiomes (RUMIC). Ruminates, specifically cattle and sheep, are significant contributors to food production systems worldwide, with the EU alone producing 7 million tons of beef per year. This major agricultural sector faces significant economic obstacles due to increasing food safety and public health concerns over antimicrobial use in livestock. RUMIC aims at addressing these concerns by investigating the promising strategy of prebiotic application in livestock production systems for improved animal health and production. Prebiotics function by modulating the gut microbiome of ruminants towards improved metabolism of feeds, competitive exclusion or mitigation of pathogens, and enhanced overall animal health. RUMIC will employ novel methods in, molecular ecology, analytical chemistry, bioinformatics and super-resolution and live-cell imaging to i) visualise and quantify the uptake of prebiotics by rumen isolates, ii) to culture-independently analyse the effect of prebiotics on simplified artificial rumens, and iii) to isolate and characterise microorganisms with specific carbohydrate degrading potentials to discover novel metabolic pathways and enzymes, with the overall goal of providing evidence-based solutions for rumen microbiome enhancements. RUMIC will facilitate a mutually beneficial, interdisciplinary exchange of scientific skills and knowledge between two leading research institutes in Canada and Germany. Furthermore, it will provide a unique research platform for Dr. Reintjes, an early career researcher, to pursue an independent research project, enabling the acquisition of new knowledge, improved communication skills, establishment of new collaborations, and widening her career perspectives to the academic and industrial sector.

Keywords: microbiome,prebiotics,glycan metabolism
Novel Air Distribution Approaches (NADiA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Germany
Call: Model based development of an innovative ECS air distribution system for ground testing with a Cabin Demonstrator (H2020-CS2-CFP08-2018-01, 2018)
Start date: 2019-04-01
End date: 2023-03-31
Duration (months): 48.0
Total project cost (EUR): 1299271.25
EU funding (EUR): 1299271.25
Participants: 2
Project status: SIGNED

NADiA project will research, develop, design, manufacture and test technologies and solutions aiming at significant improvements of the air distribution system (ADS), using the example of a 90 passenger advanced turboprop aircraft. The integrated improved cabin ADS is one of the key contributors to the environmental challenge of the ITD Airframe activities in reducing the structural weight by 4% to 6%, the CO2 and NOx, footprint by 3% to 5%, while enhancing passenger comfort by reducing noise and vibration. NADiA will significantly improve the ADS by 15% in weight, 3dB in acoustic and 20% in cost. Development, manufacturing costs and assembly times will be reduced, and production rates will be increased. To achieve the overall goals, ‘beyond state of the art’ technologies will be developed and verified in dedicated tests up to TRL6. The key end goal of NADiA will be to fully integrate and test the novel ADS in the cabin demonstrator located at Fraunhofer IBP in Holzkirchen (Topic Manager), as well as to provide support for the Environmental Control System (ECS) testing performed by Fraunhofer IBP. NADiA consortium applies advanced design principles, innovative system architectures, advanced materials and processes to generate high potential air distribution solutions for next generation turboprop aircraft. NADiA participants have a longstanding experience in ADS and ECS products. Diehl Aviation Laupheim integrates ADS for all Airbus aircraft programs, including the mixer for the A350. The delivered systems are developed and simulated using CAD and CFD software solutions. Diehl Aviation Gilching developed and manufactures vans and air cooling devices for several Airbus programs. NADiA total grant request to CS2JU is 1 299 271.25€ for the whole consortium and will be conducted within 48 months. Diehl Aviation Laupheim will complete the CS2 funding by bringing additional internal funding of 200 000€ to deepen the innovation work on materials and technologies.

Keywords: ecs air distribution system,cabin demonstrator,novel air distribution approaches,airduct,uv disinfection,mixing unit,model based development,simulation
Holography in Motion: combining the AdS/CFT correspondence with advanced numerical techniques to study strongly interacting systems out of equilibrium. (HOLOMAT)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: SIGNED

The science objective of the proposal is twofold: (1) to adapt the state of the art numerical techniques being used in the field of holography to tackle more complex systems in equilibrium than before; and (2) to augment these methods by adopting state of the art techniques in numerical relativity to tackle much more complicated dynamical systems out of equilibrium. Objective 1 will be achieved by using the spectral and relaxation methods, currently implemented by the host in their local computing cluster, to study the effects of periodic and random potentials as well as thermal perturbations and quenches on the transport properties of holographic strange metals. Objective 2 will be achieved by studying vortex dynamics and collisions in holographic superfluids implementing recent advancements in numerical relativity that have been used to revolutionize the simulation of black hole collisions. The proposal is relevant to the Work Program in several key aspects. By the nature of the topic of holography, this proposal will foster strong inter-disciplinary collaboration between the string theory and condensed matter communities as well as strong cooperation within the institutes in the Delta ITP (Amsterdam, Leiden, and Utrecht). It will also foster strong international cooperation, particularly within Europe, given the strong links of the experienced researcher with high-energy and condensed matter research groups particularly in Germany, Denmark, and Sweden. Finally, it will equip the experienced researcher with the ability to implement numerical methods on a large scale and on computing clusters, which is a skill that is readily transferable to any sector of quantitative work. This will ensure that the researcher leaves the program with an extremely competitive and compelling skillset to enter the job market, whether it be in academia, industry, finance, or any other quantitative field.

Keywords: holography,cft correspondence,numerical relativity
Analysis and Representation of Complex Activities in Videos (ARCA)

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
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-06-01
End date: 2021-05-31
Duration (months): 60.0
Total project cost (EUR): 1499875.0
EU funding (EUR): 1499875.0
Participants: 1
Project status: CLOSED

The goal of the project is to automatically analyse human activities observed in videos. Any solution to this problem will allow the development of novel applications. It could be used to create short videos that summarize daily activities to support patients suffering from Alzheimer's disease. It could also be used for education, e.g., by providing a video analysis for a trainee in the hospital that shows if the tasks have been correctly executed. The analysis of complex activities in videos, however, is very challenging since activities vary in temporal duration between minutes and hours, involve interactions with several objects that change their appearance and shape, e.g., food during cooking, and are composed of many sub-activities, which can happen at the same time or in various orders. While the majority of recent works in action recognition focuses on developing better feature encoding techniques for classifying sub-activities in short video clips of a few seconds, this project moves forward and aims to develop a higher level representation of complex activities to overcome the limitations of current approaches. This includes the handling of large time variations and the ability to recognize and locate complex activities in videos. To this end, we aim to develop a unified model that provides detailed information about the activities and sub-activities in terms of time and spatial location, as well as involved pose motion, objects and their transformations. Another aspect of the project is to learn a representation from videos that is not tied to a specific source of videos or limited to a specific application. Instead we aim to learn a representation that is invariant to a perspective change, e.g., from a third-person perspective to an egocentric perspective, and can be applied to various modalities like videos or depth data without the need of collecting massive training data for all modalities. In other words, we aim to learn the essence of activities.

Keywords: action recognition