Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Redefining the customer journey of live event visitors (Close)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-07-01
End date: 2019-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Typically, customers buy tickets for live events weeks to months in advance. However, the customer journey is focused purely on selling tickets, and the event itself. Organizers do not grab the opportunity to engage with their customers in the period between ticketing purchase, and the event itself. Neither do they engage with customers after the event. At Close, we believe actual visitors, paying customers and loyal fans are most valuable for the live event industry. With our Close platform we empower brands, artists and event organizers to improve the customer journey digitally - before, during and after the event - to get customers close. With Close, we are able to revolutionize the live event industry from offline to digital first, by means of personalization of content and improvement of customer engagement. Event organizers can benefit from Close through the following advantages: - Increased Net Promoter Score (NPS) and higher customer satisfaction. - Enriched Data: group chat features makes it possible to identify currently unknown visitors, whereas data mining allows for powerful targeting. - Increased revenue: create digital consumer revenues with in-app payments, integrate mobile advertising and build new business models.

Keywords: live event industry,customer journey
PerioSystem – smart dental practice management software (PERIOSYSTEM)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: France
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-01-01
End date: 2017-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The European dental profession is yet to embrace the full potential of technological advances. Dentists rely on outdated software systems to manage their practices, take clinical notes, analyze images and communicate with patients. Administrative tasks take up to 20% of a practitioner’s time, which could be more productively spent on treatment and diagnosis. PerioSystem is the only integrated cloud-based dental management software system that combines the functionalities of five dental software services: practice management; patient communication; treatment planning; patient education; and accounting. It also introduces four major technology advances to clinical dentistry: (i) voice recognition; (ii) motion recognition; (ii) facial recognition; and (iv) augmented reality. This seamless bundling of technologies places PerioSystem far ahead of competitive solutions, which offer only partial services. Early tests show PerioSystem can reduce administrative time from 20% to 11%, increase diagnostic time by up to 10%, and eliminate 60% of missed appointments. This would lead to an annual benefit of at least €13,860 for the average dentist, or 14.9% of average revenues. PerioSystem uses a B2B SaaS model with tiered monthly fees. It targets the 213,276 practicing dentists in Europe and 210,030 in the United States. The company aims to capture 5% of the French market, and 0.5% in Germany, Italy and the UK by 2020, resulting in €7.6M revenues and €1.M EBIT. Sales campaigns utilize high-profile endorsements, co-operation with professional societies, and free tools for student dentists. Already more than 100 pre-orders have been collected. The tool is developed by Adservio SARL, a French software development company led by Mr. Anis Zouaoui, an experienced software engineer and entrepreneur, and Dr. Wiem Bouaziz, a practicing periodontist. The system will soon be tested by 59 practitioners in 21 clinics in France and Germany.

Keywords: dental,efficiency,dental practice,software,kinetics
LOW EMISSIONS INTENSITY LIME AND CEMENT 2: DEMONSTRATION SCALE (LEILAC2)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Innovation actions
Countries involved: Italy,Germany,Germany,Italy,Australia,Belgium,Switzerland,Belgium,Belgium,Greece,France,Czechia,Netherlands,Portugal
Call: Low carbon industrial production using CCUS (H2020-LC-SC3-2019-NZE-RES-CC, 2019)
Start date: 2020-04-01
End date: 2025-03-31
Duration (months): 60.0
Total project cost (EUR): 34675725.0
EU funding (EUR): 15994730.0
Participants: 16
Project status: SIGNED

The LEILAC2 (Low Emissions Intensity Lime And Cement) project will pilot a breakthrough technology that aims to enable Europe’s cement and lime industries to capture their unavoidable process carbon dioxide (CO2) emissions for minimal energy penalty (just compression). Responsible for 8% of global CO2 emissions, low-cost, fast, and effective options are urgently needed for the cement and lime industries. Building on the success of the previously H2020 LEILAC1 project – capturing around 5% of a typical cement plant’s process CO2 emissions – the LEILAC2 project seeks to scale -up to around 20% of a typical cement plant’s process CO2 emissions in a deployable and scalable module; demonstrate the use of multiple fuel sources (particularly electricity with rapid ramping to enable renewable load-balancing); and show how it can be immediately, cheaply and incrementally or fully retrofitted to all cement plants. This will be achieved by building a demonstration plant alongside an operational cement plant in Europe: allowing 100ktpa of pure CO2 to be captured – and four business cases will be investigated for the near-term use or storage. Due to the purity of the captured CO2 (there are no new chemicals or additives), there is already interest from CO2 users. As an early mover in the heart of industrial Europe, LEILAC 2 would actively develop a CO2 hub, with onshore and offshore storage options being investigated. Engaging with all relevant stakeholders will be critical: CO2 producers and users, transport and storage operators, and most importantly the public – conducting Social Impact analysis, and extensive bespoke dissemination. The most feasible storage or use option will then result in a final business case being developed. The significant industrial partners involved in this project – contributing around €19m of funding - testifies to the interest of the cement and lime industries.

Keywords: low cost carbon capture,industry,co2 hub,ccus,co2 use,direct separation
Necroptosis in immunity, inflammation and autoimmunity induced by nucleic acid sensors (NECROPTOSIS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2023-09-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Cell death plays an important role in host defence particularly in response to virus infections, but also contributes to tissue damage, inflammation and disease. Therefore, dissecting the mechanisms regulating cell death and its function in immunity and inflammation will be important for the better understanding of the pathogenesis of infectious and inflammatory diseases. Necroptosis is a recently characterised type of regulated necrotic cell death induced by RIPK3 and its substrate MLKL. Necroptosis has been implicated in host defence as well as in the pathogenesis of a number of inflammatory disorders, however the mechanisms regulating necroptosis in vivo as well as its functional implications in health and disease remain poorly understood. Recent studies revealed that ZBP1/DAI, a protein that senses Z-nucleic acids and activates RIPK3-induced cell death, regulates anti-viral immunity, tissue homeostasis and inflammation, suggesting that necroptosis is an important mechanism of Z-DNA/RNA-induced immune responses. However, the mechanisms regulating the detection of Z-nucleic acids as well as the activation of downstream signalling to cell death and inflammation by ZBP1 remain elusive. Necroptosis is also induced downstream of cytoplasmic nucleic acid sensors that trigger interferon responses and are implicated in anti-viral immunity, inflammation and autoimmunity. Therefore, necroptosis triggered directly or indirectly by nucleic acid sensors may have a broad role in nucleic acid-induced immune responses. Here we propose to study the mechanisms of regulation as well as the functional role of necroptosis induced downstream of nucleic acid-sensing receptors in immunity, inflammation and autoimmunity. These studies aim to advance our understanding of the role of cell death in immunity and inflammation and to reveal novel paradigms in the pathogenesis of infectious and inflammatory diseases.

Keywords: cell death,necroptosis
Scaling up the world’s highest performance MEMS microphone (OptiMEMS2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-05-01
End date: 2022-10-31
Duration (months): 30.0
Total project cost (EUR): 4669046.25
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

sensiBel is a Norwegian deep-tech start-up specialized in optical MEMS microphone technology. The company spun off from SINTEF, Norway’s largest independent research organization in 2016. Based on 10 years of research, sensiBel has developed and patented a unique technology for a high-performance miniaturized microphone, with 10dB times lower noise than other state-of-the-art MEMS microphones. We reinvented the microphone! For decades, the performance of microphones has seen only incremental improvements. The dominating technology is capacitive MEMS microphones, with multi-billion € markets, but their sensitivity is not sufficient to handle voice user interfaces in complex environment, and lack performance for high-quality sound and audio recordings. sensiBel’s patented optical MEMS technology uses a tiny laser and integrated photodetector to extremely accurately measure the motion of a silicon-based membrane. This ultra-low selfnoise readout principle results in very high SNR and resistance to distortion at very high sound pressure level, yet in a small, MEMS package with low power consumption. In short, we have a studio-grade microphone with an ultra-small form factor. Our microphone is ideal for natural language voice-controlled user interface, teleconferencing systems, sound detection & recognitions systems, high-quality audio recordings and in Active Noise Cancelling (ANC) headsets. The unison feedback from the market is that sensiBel’s microphone fills a clear gap in the market. The mission of sensiBel is audio capture excellence to enable natural language conversation with machines and high-fidelity audio and sound capture in a small package. The company aims to become the global #1 MEMS microphone supplier for the voice-first user interface and highfidelity audio and sound capture markets.

Keywords: optical mems,microphone,voice user interface,high fidelity audio,sound detection and,recognition,active noise cancellation anc,headsets,microphone arrays,acoustic camera
Deep learning and Bayesian inference for medical imaging (DeeBMED)

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: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Diseases characteristic for modern western civilization, such as cancer, diabetes or cardiovascular disorders, lead to millions of deaths per year in the European Union. In order to decrease this enormous quantity, medical imaging should be widely available at early diagnostics and every stage of a therapy. Nowadays, there are various diagnostics techniques including CT, PET, MRI, however, analysis of a medical image is time-consuming and expensive. Development of new effective automatic tool for medical imaging will appear a new strategy in highly specific control of incidences and disease progression. The aim of the DeeBMED project is to develop powerful automatic medical imaging tool that can cope with main problems associated with complex images like medical scans: multimodality of data distribution, large number of dimension and small number of examples, small amount of labeled data, multi-source learning, and robustness to transformations. In this project I will propose a probabilistic framework that combines different deep neural networks (DNN), such as feedforward nets, convolutional nets, Gaussian processes. I will apply DNN to model probabilistic relationships among a medical scan, a disease label, and hidden variables representing latent factors in data. In the case of a small sample size DNN are prone to overfitting. A possible remedy for that is Bayesian learning, however, it is still challenging how to apply it to DNN. In this project I will use various approaches: modelling weights uncertainty, Dropout, Bayesian Distillation. As the result I predict identification of the first highly effective medical imaging analysis tool that in the future will be widely used by radiologists in medical institutes in the whole EU. Novel automation will drastically reduce time and costs of analysis and provide more accessible diagnostics. The project will be carried out at the University of Amsterdam, under the supervision of Prof. Max Welling.

Keywords: deep learning,bayesian learning,variational inference,medical imaging
Mobile-Network Infrastructure for Cooperative Surveillance of low flying drones (MoNIfly)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Belgium,Czechia,Czechia,Netherlands,Netherlands,Netherlands
Call: Breakthrough innovation (H2020-MG-2016-Two-Stages, 2016)
Start date: 2017-06-01
End date: 2020-05-31
Duration (months): 36.0
Total project cost (EUR): 2021250.0
EU funding (EUR): 2021250.0
Participants: 8
Project status: CLOSED

The number of drones in commercial and recreational use is expected to grow significantly within the next years. Currently the most dynamic market is in low flying remotely piloted and autonomous aerial vehicles. In 2016 the European Aviation Safety Agency (EASA) has published three different categories of such drones: an open category, a specific category and a certified category. The MoNIfly project (Mobile-Network Infrastructure for Cooperative Surveillance of Low Flying Drones) targets the open and specific categories by proposing a drone traffic management system based on mobile network infrastructure. The main challenge will be the acceptance of low flying devices by the general public. Therefore innovative solutions must be found, developed and demonstrated to allow safe and society friendly as well as aviation-harmonized drone operations. The MoNIfly concept will enable applications with virtual barriers (so-called geo fence applications) that use static databases as well as high-dynamic update rates to support moving vehicles. This means that the risk of collisions of drones with static obstacles but also other drones or aircraft/helicopters will be greatly reduced. Additionally this concept will allow protection of privacy sensitive areas like private houses/gardens or even scenes of an accident or incident. Another area of operation could be the TV market where during sports events the target of interest (e.g. downhill skier or car racer) would be protected by a fast moving geo-fenced area. The MoNIfly consortium consists of a Mobile Infrastructure provider (Nokia), a drone manufacturer (Aerial Tronics Group), a drone operator (UAV International) and two universities (Royal Military Academy Brussels and TU Braunschweig) with excellent background in current air traffic management and drone operations. The project aims to develop the applications described above and will demonstrate their feasibility in a relevant environment. The goal is to enhance the technology readiness level (TRL) from 2 (technology concept formulated) to a TRL of 4 (technology validated in lab) or 5 (technology validated in relevant environment).

Keywords: unmanned traffic management utm,telecommunication network,surveillance
Musical Materialities and Conduits of Culture: revealing the hidden histories of music during Poland’s ‘Golden Age’ (c. 1475 – 1600) (MusiConduits)

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: Social Sciences and Humanities
Countries involved: Poland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2026-09-01
Duration (months): 36.0
Total project cost (EUR): 224438.4
EU funding (EUR): 224438.4
Participants: 1
Project status: SIGNED

From the Middle Ages, the Polish Kingdom and Grand Duchy of Lithuania (P-L, from 1569 a Commonwealth) possessed a rich diversity of cultures, from Armenians and Ashkenazi Jews to those of Bohemian, French, Italian, Scandinavian and German origins. Engaging in commercial and artistic pursuits across urban and rural communities, multicultural P-L cultivated a nation of tolerance and a flowering of artistic and philosophical thought from the end of the fifteenth century known as Poland’s ‘Golden Age’. Situated in this fertile period, MusiConduits will bring together unique resources to develop a multi-faceted understanding of musical culture through its objects: from archives, books and printed/engraved art to museum objects and historic buildings. The MusiConduits project is innovative in its design and focus, intersecting material culture studies, musicology, organology, gender-sensitive approaches, family and urban studies, fine and decorative arts studies, artistic craft processes, lexicography and the history of the printed page. A complementary project strand will explore how modern collaborative approaches to digital humanities can inspire public engagement with these dynamic hidden histories from the past. Cataloguing and coding of data using content management software (Omeka) and qualitative analysis software (Aquad) will support an in-depth examination of urban vs. rural music-making, trade and commercial centres, the transfer of musical aesthetics through art objects, printed books as conduits of musical culture, gendered music-making/music consumption and collaborative pathways to public engagement through digital humanities. Deliverables include creating a bespoke Handwritten Text Recognition engine automatically transcribing Polish-language archival documents through Transkribus software, a project exhibition (University of Warsaw), an exhibition catalogue/monograph, a seminar series on cross-sectoral digital humanities projects and a final conference

Keywords: material culture,digital humanities,early modern era,renaissance,archives,lexicography,organology,cultural heritage,public engagement,cultural transfer,urban studies,poland
Digital twins for the optimization of agrifood value chain processes and the supply of quality biomass for bio-processing (BBTWINS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Research and Innovation actions
Partnership: BBI (Art-187)
Countries involved: Spain,Germany,Spain,Spain,Spain,Belgium,Finland,Greece,Greece,Belgium,Poland,Portugal
Call: Use enabling technologies to improve feedstock availability and sustainability for the bio-based industry (H2020-BBI-JTI-2020, 2020)
Start date: 2021-06-01
End date: 2025-05-31
Duration (months): 48.0
Total project cost (EUR): 5258380.5
EU funding (EUR): 4053706.0
Participants: 18
Project status: SIGNED

The EU agri-food sector is at a crossroads. The sector endures a string of crisis, suffering from losses and inefficiencies that affect the overall system efficiency, whilst the society expects always more to be done on environmental protection, and on providing secure, nutritional, and healthy food, demanding high added value products of sustainable production and verifiable traceability. To tackle these challenges, BBTWINS will develop and validate two innovative digital twins in two use cases in Spain and Greece (meat and fruit production) following a multi-actor approach and integrating into a single platform all the processing steps (from crop to final products) and the valorisation of the bio-streams generated using innovative processing treatments. The use cases will be addressed following a holistic approach including an environmental, social, and economic assessment, and logistic issues. The digital twins developed will integrate enabling technologies such as artificial intelligence, Internet of Things, and software analytics, together with blockchain and strategic and operational logistic solutions in a single platform. BBTWINS digital twins will: (i) increase biomass availability, resource efficiency and sustainability for the bio-based industry, (ii) lower biomass losses from feedstock supply through the processing stages of the value chain; and (iii) allow a longer storage time before processing through more efficient pre-treatment steps and storage methods to better preserve the valuable components. BBTWINS will validate at least 3 new products for the bio-based industry such as bioactive compounds for nutritional foods and nutraceutical products, fertilizers, protein concentrates for feed, and snacks. The BBTWINS multi-actor consortium is constituted by 3 RTOs, 7 SMEs, 1 Bioeconomy Cluster, 1 Large Enterprise, and 1 cooperative in 8 EU countries with the necessary knowledge and ambition to succeed in the digital revolution of the agrifood sector

Keywords: digital twins,blockchain,logistics,biomass valorization,sensors,simulation,fertilizers,proteins,fruit processing,meat processing,feedstock,salts,protein,snacks,nutraceutical,waste