Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
AQUAculture infrastructures for EXCELlence in European fish research towards 2020 (AQUAEXCEL2020)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Integrating activities and infrastructures
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Ireland,Belgium,Norway,Belgium,Norway,Norway,Greece,Hungary,France,France,France,Czechia,Netherlands,Denmark,United Kingdom,Portugal
Call: Integrating and opening existing national and regional research infrastructures of European interest (H2020-INFRAIA-2014-2015, 2014)
Start date: 2015-10-01
End date: 2020-12-31
Duration (months): 63.0
Total project cost (EUR): 9756279.0
EU funding (EUR): 9708867.0
Participants: 23
Project status: CLOSED

AQUAEXCEL2020 aims to integrate top class European aquaculture research facilities of very diverse nature, covering all relevant scientific fields for research and innovation in aquaculture, from genetics to technology through pathology, physiology and nutrition. It will put in place a user-friendly one-stop access to high-quality services and resources from 39 installations covering both established and new aquaculture species, all types of experimental systems as well as sequencing facilities. Giving a prominent place to EU aquaculture industry research needs through a strong involvement of the European Aquaculture Technology and Innovation Platform, it will enable excellent research and sustainable innovation to both public and private sector. It will benefit from the support of the ESFRI infrastructures EMBRC (Marine Biology) and ELIXIR (Life Sciences data) and bring aquaculture research specificities to their agendas. AQUAEXCEL2020 will be a key vehicle in the improvement of aquaculture research practices to the benefit of industry through finalized research and innovation, and of excellent science through the development of highly innovative methods and approaches such as Virtual Laboratories, standardized experimental fish lines and nano-sensors. It will also benefit to society through the development of methods for sustainable aquaculture, such as the use of cleaner fish to control parasites or Integrated Multitrophic Aquaculture, and also through a better management of animal experiments for research according to the 3 R's, Reduction (via e.g. capitalization of data and provision of stable experimental fish lines), Refinement (via a better control of experimental procedures) and Replacement (via e.g. Virtual Laboratories). As a whole, AQUAEXCEL2020 will provide a world-class platform for all types of fish culture research, from biology to technology, in all types of rearing systems, with all major EU fish species, including the most promising new species.

Keywords: aquaculture,infrastructures,fish,research,innovation
Enriching 360 media with 3D storytelling and personalisation elements (Hyper360)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Italy,Germany,Austria,Germany,Greece,Hungary
Call: Media and content convergence (H2020-ICT-2016-2, 2016)
Start date: 2017-10-01
End date: 2020-09-30
Duration (months): 36.0
Total project cost (EUR): 4464292.5
EU funding (EUR): 3736254.75
Participants: 8
Project status: CLOSED

The media market is currently undergoing a major change as its traditional business models are shifting to digital products and services rapidly. Besides the prevalent digitisation, this change is also driven by network advances and consumer behaviour. The introduction of non-linear content (OTT, VOD) has given consumers more control of their screen and the content they consume, placing them in the driving seat and leaving the commercial broadcasters competing for their attention. Thus, a migration toward as subscription VOD services is observed with OTT services emerging and becoming very competitive by acquiring a large share of the media market. Hyper360 aims to use ICT technology and innovation exploiting the ongoing Virtual Reality revolution. The goal is to offer a complete end-to-end production toolset for enriched 360o video, with novel 3D storytelling elements, while also leveraging the powerful implicit preference extraction means that omnidirectional viewing offers, i.e. the viewing direction, to build a personalisation framework on top of the consumption of this new hybrid format. 360o content is well posed to provide feelings of presence and immersion and is now starting to be utilized in the media industry. Sky, BBC, NY Times are just some of the media players already starting to experiment with it, while big ICT players like Facebook, Google and Intel are investing in it. Hyper 360 aims to exploit this 360 hype and offer to it extensions for directrs, by allowing them to insert 3D appearances of narrators to appropriately navigate and immerse the viewers. The production toolset will be deployed and validated with the help of 2 large broadcasters and OTT providers, in the contexts of Immersive Journalism (free viewpoint) and Targeted Advertising (personalisation), as 360o video is seeing increased usage in both marketing and journalism. Finally, Hyper360 will greatly contribute in the emerging standards for free viewpoint video.

Keywords: immersive journalism,documentary,360 video storytelling,3d narrator,reporter,journalist capturing,3d directing,targeted advertising,marketing,personalisation,free viewpoint video
Synthetic biology of carbohydrate-binding proteins: engineering protein-carbohydrate interactions for diagnostics and cell targeting (synBIOcarb)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Austria,Austria,Germany,Ireland,Sweden,Slovakia,France,France,France,Denmark,Denmark,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-10-01
End date: 2023-03-31
Duration (months): 54.0
Total project cost (EUR): 4093660.08
EU funding (EUR): 4093660.08
Participants: 15
Project status: SIGNED

The aim of the Initial Training Network will be to train 15 early stage researchers in the emerging field of synthetic glycobiology, equipping them with the skills needed for future careers in the medical technologies sector. Every living cell is covered in a coating of complex carbohydrates known as the glycocalyx. Anything that approaches the cell membrane must first descend through this forest of carbohydrates. Interactions between carbohydrates and lectins (carbohydrate-binding proteins) play essential roles in cell adhesion and endocytosis. Our growing understanding of glycoscience, and the advent of chemical and synthetic biology methodologies, presents an opportunity to redesign, synthesise and exploit glycocalyx and lectin components for diverse analytical, diagnostic and targeted therapeutic applications: this is the field of Synthetic Glycobiology. The ESF-funded report, “A Roadmap for Glycosicence in Europe”, has highlighted the importance of glycoscience to the European bioeconomy. The European glycomics market is growing rapidly (>10% growth p.a.). There is an urgent need to train ESRs with the scientific and entrepreneurial skills required to enable European industry to exploit this rapidly growing market. The synBIOcarb ETN brings together a diverse team of chemists, structural biologists, biophysicists, cell biologists and protein engineers who are pioneering the development of Synthetic Glycobiology, and four SMEs that are leading industrial innovation in glycoscience and protein engineering. Together, we will train 15 ESRs in the essential enabling technologies that underpin the development and exploitation of glycoscience: glycoconjugate synthesis; lectin engineering; biophysical interaction measurements; cell biology; analytical device technologies; entrepreneurial and transferable skills.

Keywords: lectins,glycoscience,protein engineering,bioorthogonal ligation
The Artificial Intelligence Code Analysis & Recommendation Engine to drive software development speed & reliability for global corporations (GAMMA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

When software applications fail, the first reason is a software bug (or error). Software bugs account for the highest percentage of failures in all major industries, specifically impacting public service and healthcare the most with 110 types of software failures, and retail and consumer tech with 109 types. According to Tricentis, monetary losses from software failures cost €1.5 Trillion. Unfortunately, software testing methodologies and tools have been slow to transform to the new complexity and higher risks. To fill the gap in the market, Acellere has developed the Gamma Recommendation Engine, a disruptive Artificial Intelligence (AI)-based software engineering platform which efficiently detects a very wide range of software bugs in real-time and immediately proposes fixes. Gamma goes beyond standard programming rules to uncover unique issue patterns by combining innovative AI learning approaches with custom analytical tools. Gamma’s original and surprisingly effective AI components are centred around natural-language programming, predictive modelling, and cluster identification. The engine has already been proven to work with an accuracy of 70-75% on several open source Apache repositories, such as Kafka, Cassandra, and Lucene. Using Gamma helps software developers save time, to quickly identify errors and solve issues before they appear. Through cutting the need for lengthy code review, there is a great potential to save 60% of time (and therefore, 15% of a developer’s salary) . The Gamma Recommendation Engine is a cutting-edge innovation that enables the effective and efficient scaling of code and software development companies, and the leader in the nascent real-time smart code recommendation engines.

Keywords: web development,code analysis,code recommendation,ai for coding,ai for code,artificial intelligence and computer programming
Samurai - Platform detecting and preventing cyber violence (SamurAI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Poland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Cyber violence is an increasingly growing concern among children and adolescents. Number of children admitted to hospitals for attempted suicide or expressing suicidal thoughts doubled between 2008 and 2015 - much of the rise is linked to an increase in cyberbullying. Problem conerns also adults - EU estimates that 1 in 10 women have experienced some form of cyber violence. Online violence causes a massive outflow of portal and game users - more than 20% of players left the game due to cyberbullying and 35.8% of women quit playing temporarily because of sexism. These kinds of actions results in a significant reduction of revenues for entities in the industry. Therefore, the health and economic implications of cyber violence provide a compelling multimillion business opportunity. Fido has developed a game-changing Samurai system, artificial intelligence solution dedicated to real-time, automated prevention of online violence in text communication, based on a novel patent. The recent studies show that that our technology detects the most violence and raises false alarms four times less often than the current solutions. Fido main customers are game industry players, communication/education platforms and social media. During the first 5 years of commercialisation of Samurai we expect to generate EUR12,7 m in turnover and hire additional 18 workers. Fido Voice is a high-tech Polish SME, supported by business angels, specialising in artificial intelligence and natural language understanding. Our technology was recognised as one of the 100 most promising artificial intelligence solutions in the world (Top 100 AI CBInsights 2017). The founders of Fido were chosen one of Top 100 Innovators Group awarded by Google and Financial Times.

Keywords: cyberbullying,cyber violence,artificial intelligence technology
ENvironmental COnditions in GLAucoma Patients (ENCOGLAP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Glaucoma is a common eye pathology that can lead to blindness. As it is a progressive disease, longer-term treatment is required for its control, based mainly on the regular use of topical eye drops. Adherence to the treatment is the degree to which a patient’s behaviour in taking medication corresponds with agreed recommendations from their doctor. Various risk factors for non-adherence to the glaucoma treatment have been identified, but the role played by an individual’s ocular surface characteristics and the influence of different environmental conditions are not well understood. The objectives of ENCOGLAP (ENvironmental COnditions in GLAucoma Patients) are to determine which ocular surface characteristics and environmental conditions will influence non-adherence to treatment. The influence of preservatives in eye drops will also be investigated. The overarching aim is to provide a guide of “risk factors of non-adherence” that could be used in the clinical practice. Dr. García-Porta (ER) will work with Professor Pardhan (supervisor) within a multidisciplinary team. Patients have been identified through various hospitals and eye clinics. The experiments will be carried out using a Controlled Environmental Chamber (CEC) based in the Vision and Eye Research Unit (VERU) at Anglia Ruskin University. VER,U rated as ‘world class’ and ‘internationally excellent’ in the last UK's Research Excellence Framework, is one of the leading multi-disciplinary Eye Research Centres in Europe. A strong plan to maximise the transfer of knowledge between the ER and VERU will be implemented. This will include direct research and educational training that the ER will receive. The outreach and dissemination, crucial aspects of this project, will be implemented via prestigious conferences and peer-reviewed papers submitted to high impact journals. Various social media avenues will be employed to maximise the visibility of ENCOGLAP to the general public

Keywords: glaucoma,glaucoma treatment,environmental conditions,drug compliance
Mobile Robots with Novel Environmental Sensors for Inspection of Disaster Sites with Low Visibility (SmokeBot)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Advanced interfaces and robots: Robotics and smart spaces
Action type: Research and Innovation actions
Partnership: Robotics SPARC (cPPP)
Countries involved: Germany,Germany,Germany,Austria,Sweden,United Kingdom
Call: Robotics (H2020-ICT-2014-1, 2014)
Start date: 2015-01-01
End date: 2018-06-30
Duration (months): 42.0
Total project cost (EUR): 3817417.7
EU funding (EUR): 3817417.5
Participants: 6
Project status: CLOSED

SmokeBot is driven by the application needs for robots that operate in domains with restricted visibility. The focus is on civil robots supporting fire brigades in search and rescue missions, e.g. in post-disaster management operations in response to tunnel fires. Existing sensor technology and the related cognitive approaches cannot cope with such demanding conditions. SmokeBot addresses this shortcoming and can thus bring about a step change for robotics. It will deliver software and hardware components which facilitate robot systems to perform under harsh conditions of smoke, dust or fog. This will be demonstrated through integration of the project results in an industrial prototype of a Low Visibility Explorer Robot for providing situational awareness based on a commercial platform from partner TAUR. In close collaboration with TAUR (robotics industry) and end users (FDDO, end users in the advisory group), SmokeBot will crucially improve the abilities of the selected platform, thus increasing safety of rescue staff and European citizens as well as improving the product of a European robotics company in an important market. An even wider impact is expected through the development of a novel sensor unit and the corresponding cognitive approaches. In addition to traditional sensors such as LIDAR and cameras, which are affected by smoke or dust, this sensing unit includes also a novel 3D radar camera, a thermal camera, and high-bandwidth gas sensors. Fusion of sensor modalities will allow the inclusion of measurements from LIDAR and camera into the world model when they occasionally penetrate through e.g. smoke. In addition, we will develop the means to integrate prior knowledge in the form of crude human sketch maps to allow for robust mapping and navigation even under low visibility in a harsh environment. Sensor technology from SmokeBot will result in new products to be brought to market after the project. Software developed will be made available as open source.

Keywords: 3d radar,gas sensors
Exact Chronology of Early Societies (ECHOES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-02-01
End date: 2023-02-28
Duration (months): 73.0
Total project cost (EUR): 1494040.99
EU funding (EUR): 1494040.99
Participants: 1
Project status: SIGNED

Chronology is fundamental to all study of the past. Social and cultural change is incomprehensible without clear information on the ordering and duration of events. However, the exact chronology of the Old World only extends as far back as the mid-1st millennium BC, even though state-level societies in both the Western and the Eastern Hemispheres emerged several millennia before this time. In the New World, the situation is even worse, with none of the pre-Columbian societies currently fixed in calendrical time. No scientific method has so far been able to provide historians of early society with the levels of precision considered essential by their modern counterparts. Indeed, if the 20th century AD were dated at the same resolution as the 20th century BC, the two World Wars would be indistinguishable in time; and the Montgomery Bus Strike might post-date the release of Mandela. ECHOES pioneers the first technique capable of providing ancient history with the same clarity as modern history. The new approach is based on past solar events that initiated sudden increases in the atmospheric concentration of radiocarbon. The enriched concentrations would have been absorbed by all growing plants at the time. Crucially, fossil wood archives already exist in which the growth year of each tree-ring is exactly known, enabling the events to be easily dated. Moreover, the uplifts will also be present in all artefacts that were fashioned from contemporary plant material, such as papyrus documents. Matching the enrichments in such cultural items with the tree-ring archives will also date them to the exact year. ECHOES aims to produce a myriad of such connections to secure key early societies in calendrical time. This will lay the foundations for a globally synchronous, chronological lattice that will allow the flow of technology and ideas to be understood in a way that has never before been previously possible, as each cultural record will be fixed to the same time frame.
DESIGN OF AN INNOVATIVE ENERGY-AWARE IT ECOSYSTEM FOR MOTIVATING BEHAVIOURAL CHANGES TOWARDS THE ADOPTION OF ENERGY EFFICIENT LIFESTYLES (ENTROPY)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Spain,Cyprus,Switzerland,Greece,Serbia
Call: New ICT-based solutions for energy efficiency (H2020-EE-2014-2-RIA, 2014)
Start date: 2015-09-01
End date: 2018-11-30
Duration (months): 39.0
Total project cost (EUR): 2439467.5
EU funding (EUR): 1997592.5
Participants: 10
Project status: CLOSED

Taking into account the fact that buildings constitute the largest end-use energy consuming sector, the design and development of solutions targeted at reducing their energy consumption based on the adoption of energy efficient techniques and the active engagement of citizens/occupants is considered crucial. Innovative solutions have to be implemented upon properly understanding the main energy consuming factors and trends, as well as properly modeling and understanding the citizens’ behaviour and the potential for lifestyle changes. The ENTROPY project addresses this challenge by building upon the integration of technologies that facilitate the deployment of innovative energy aware IT ecosystems for motivating end-users’ behavioural changes and namely: (1) the Internet of Things that provides the capacity for interconnecting numerous devices and applying energy-efficient communication protocols, (2) the evolvement of advanced Data Modelling and Analysis techniques that support the realization of semantic models and knowledge extraction mechanisms and (3) the Recommendation and Gamification eras that can trigger interaction with relevant users in social networks, increase end users’ awareness with regards to ways to achieve energy consumption savings in their daily activities and adopt energy efficient lifestyles as well as provide a set of energy efficient recommendations and motives. Novel practices that fully integrate information collected from a set of sensor networks and mobile crowd sensing activities are going to be exploited along with processes for monitoring, reporting and analysing sets of data with regards to energy consumption and the behavioural profile of citizens. The engagement and inclusion of end users will be strongly supported upon the development of a set of serious games and personalised applications. The designed IT ecosystem is planned to be validated in three pilot sites.

Keywords: serious games,ipv6,users energy awareness,recommendation and gamification