Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Past and Present Musical Encounters across the Strait of Gibraltar (MESG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: United Kingdom,United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-04-01
End date: 2023-09-30
Duration (months): 66.0
Total project cost (EUR): 1498013.0
EU funding (EUR): 323157.94
Participants: 3
Project status: SIGNED

MESG explores how the notion of a collective European-North African cultural memory has been articulated through music for different sociopolitical ends in colonial and postcolonial contexts. Based on the notion of convivencia (the alleged coexistence between Christians, Jews and Muslims in Islamic Spain), music has been employed as a means of social control and representation during French-Spanish colonialism in North Africa (1912–56) and as a model for multiculturalism among North African communities in Europe today. Current scholarship on musical exchange between Europe and North Africa is fragmented, often focusing on isolated geographical case studies. There is limited understanding of how a collective cultural memory has shaped musical practice and discourse in the colonial past and the postcolonial present. In contrast, MESG offers a comparative study of music and colonialism in the Maghreb. By examining colonial music scholarship, policy and education, and musical encounters between different cultural groups, MESG probes the social dynamics of musical interaction at this time, framed by issues of race, imperialism and cultural memory. Second, MESG explores how the idea of a collective cultural memory is invoked through musical collaboration today, by focusing on various genres such as Arab-Andalusian music and flamenco. Rather than separating these historical periods, however, MESG analyses how modern-day practices of musical exchange in the region are shaped by discourses and networks formed during colonialism. Musical exchange will be read against the wider context of multiculturalism, immigration and cultural diplomacy that underpins postcolonial relations between Europe and North Africa. Combining archival and ethnographic research, this groundbreaking project brings together for the first time different geographical, linguistic and musical specialisms, leading towards a fuller understanding of musical exchange in the region.

Keywords: ethnomusicology,music and multiculturalism,music and postcolonial studies,flamenco,arab andalusian music,al andalus,cultural memory,colonialism
Sensor Enabled Affective Computing for Enhancing Medical Care (SenseCare)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Germany,Spain,Ireland,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 504000.0
EU funding (EUR): 504000.0
Participants: 5
Project status: CLOSED

This project brings together a diverse group of subject matter experts from industry and academia under one umbrella, with the main aim of enhancing and advancing future healthcare processes and systems using sensory and machine learning technologies to provide emotional (affective) and cognitive insights into patients well-being so as to provide them with more effective treatment across multiple medical domains. The objective is to develop technologies and methods that will lessen the enormous and growing health care costs of dementia and related cognitive impairments that burden European citizens, which is estimated to cost over €250 Billion by 2030 [1]. From a technical perspective, the primary objective is to “develop a cloud based affective computing [2] operating system capable of processing and fusing multiple sensory data streams to provide cognitive and emotional intelligence for AI connected healthcare systems”. In particular the consortium intends to: • Specify and engineer the architecture of the SenseCare platform and will release two versions of the platform cloud infrastructure during the life of the RISE project. • Create and evaluate two use case test pilots (relating to the dementia care and connected health medical domains) that integrate with, use and apply the services of the SenseCare platform. • Specify and engineer a number of medical informatics applications that will run on the SenseCare platform and that will also be tested and evaluated as part of the use case test pilot phases. The outputs of the project will lead to significant and lasting impact on the innovation potential of the individual researchers, their host organisations as well as impacting in a much wider sense at a European and global level.

Keywords: affective computing,machine learning,big data,medical informatics
Smart Forwarder for sustainable and efficient forest operation and management (Forwarder2020)

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: Innovation actions
Countries involved: Germany,Germany,Italy,Germany,Germany,Germany,Germany,Switzerland,Lithuania,Romania,Romania,Romania,United Kingdom,United Kingdom
Call: Intelligent solutions and tools in forest production systems, fostering a sustainable supply of quality wood for the growing bioeconomy (H2020-BB-2016-1, 2016)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 2990023.75
EU funding (EUR): 1984839.38
Participants: 18
Project status: CLOSED

Forest biomass is currently one of the most important source of renewable energy and accounts for almost half of the EU’s total renewable energy consumption. In addition to raw materials, forests also provide a wide range of vital non-wood services that should be protected during wood extraction. The innovation project Forwarder2020 has the main aim of improving sustainability of wood production and delivery as well as operational forest management and planning through the development of specific modules for more efficient forwarders (wood extraction and transportation vehicles): • hydrostatic-mechanical power-split transmission • hydro-pneumatic suspension of the forwarder • hybrid hydraulic system for driving the crane with double recuperation of the potential energy • bogie axle with three instead of two driven wheels at each side to be mounted under the timber load • monitoring system for transparency and documentation of process data like machine data, static and dynamic load over time and position The combined effect of these five innovations applied to forwarders will have the following impact: • lowering of the dynamic wheel load by 25% over the same forwarder without suspension at same payload and speed. • reduction of rut depths by 50% • lowering fuel consumption while driving over the existing hydrostatic transmissions by 30% • making long hauling distances more economic by the efficiency of the power-split transmission • lowering fuel consumption while loading and unloading due to the double recuperation of the potential energy of the crane mass by 30%. • more precise planning of the tracks and documentation of the loads carried on the specific part of the track • supplying to the market a unique and modular system of high-end solutions above the competitors, where the customer can make his choice of equipment and bear no higher costs for the modules not chosen. • bring consortium partners and thus Europe to a strong position on markets

Keywords: innovative forwarder,hybrid hydraulic crane for energy recuperation,monitoring system,secured wood harvesting,mechanical and manufacturing engineering,silviculture,forest soils
Smart Working environments for all Ages (WorkingAge)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Spain,Germany,Italy,Spain,Belgium,Greece,Greece,France,France,United Kingdom
Call: Adaptive smart working and living environments supporting active and healthy ageing (H2020-SC1-DTH-2018-1, 2018)
Start date: 2019-02-01
End date: 2022-07-31
Duration (months): 42.0
Total project cost (EUR): 3997166.25
EU funding (EUR): 3997166.25
Participants: 13
Project status: CLOSED

WorkingAge will use innovative HCI methods (augmented reality, virtual reality, gesture/voice recognition and eye tracking) to measure the user emotional/cognitive/health state and create communication paths. At the same time with the use of IoT sensors will be able to detect environmental conditions. The purpose is to promote healthy habits of users in their working environment and daily living activities in order to improve their working and living conditions. By studying the profile of the >50 (Year old) workers and the working place requirements in three different working environments (Office, Driving and Manufacturing), both profiles (user and environment) will be considered. Information obtained will be used for the creation of interventions that will lead to healthy aging inside and outside the working environment. WorkingAge will test and validate an integrated solution that will learn the user’s behaviour, health data and preferences and through continue data collection and analysis will interact naturally with the user. This innovative system will provide workers assistance in their everyday routine in the form of reminders, risks avoidance and recommendations. In this way the WorkingAge project will create a sustainable and scalable product that will empower their user's easing their life by attenuating the impact of aging in their autonomy, work conditions, health and well-being.

Keywords: gesture,speech recognition,eye tracking,wearable sensors,augmented,virtual reality,neurometrics
Gravitational Lensing Analysis for Data Intensive Upcoming Surveys (GLADIUS)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

Gravitational lensing is one of the major tools to address the long-standing problems in astrophysics and cosmology, such as dark energy, dark matter, and black hole physics. Progress has so far been limited by the small number of known lensed systems and the intricate nature of the phenomenon, requiring painstaking handcrafted modelling approaches, hard-to-procure high-quality data, and lengthy computations. Upcoming all-sky surveys will revolutionize the field by discovering orders-of-magnitude more lenses and providing adequate information to understand them in depth. Mining these massive troves of data for the new astrophysical discoveries they hold requires a paradigm shift in our analysis approaches, providing high flexibility, automation, and adaptability to a much larger parameter space, in order to determine critical lensing and physical parameters. GLADIUS has the potential to spearhead gravitational lensing science with the next generation of observations by: i) increasing the accuracy and flexibility of the time delay method to measure cosmic expansion ii) disentangling baryonic and dark matter in galaxies through lensing self-consistently and iii) providing accurate predictions of those rare microlensing events, rich in information on quasar structure and black hole environments. To this end, existing state-of-the-art traditional modelling approaches and simulations will be fused with the groundbreaking machine learning framework of Deep Learning and extended through powerful methodologies, like supervised and generative learning, dramatically increasing the scope of gravitational lensing studies. The resulting data-intensive framework will be directly applicable to the high-resolution imaging and monitoring data products of the upcoming Euclid and LSST surveys. GLADIUS is perfectly aligned with the MSCA scope, allowing me to combine my lens modelling expertise with the leading role of EPFL in major global observational and modelling projects.
Circular Packaging for Direct Food Contact Applications (CIRCULAR FoodPack)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Germany,Germany,Spain,Belgium,Greece,Switzerland,Switzerland,France,France,Netherlands
Call: Improving the sorting, separation and recycling of composite and multi-layer materials (H2020-SC5-2020-2, 2020)
Start date: 2021-06-01
End date: 2024-11-30
Duration (months): 42.0
Total project cost (EUR): 5366698.0
EU funding (EUR): 5366698.0
Participants: 16
Project status: SIGNED

CIRCULAR FoodPack aims to facilitate the circular use of plastic packaging addressing the most sensitive product category: Food packaging. This sector contains 87% of all European flexible plastic-plastic multilayer composites (MLC) due to the high requirements for food preservation and safety. However, these MLC laminates cannot be recycled by state of the art processes and thus counteract the circular use of food packaging. Recycled polymers from far less demanding mono-film waste fractions underperform and cannot be used in food packaging, mostly due to the presence of intentionally and not intentionally added substances. We will demonstrate the project results by production of high-quality recycled PE at TRL 5-6, using Sensor-Based-Specification or Tracer-Based-Sorting (TBS, SBS), deinking and thermally assisted deodorization as well as solvent-based or mechanical recycling processes. Innovative designs of recyclable and food-safe mono-material laminates will enable the re-use in high-value film applications, with upcoming food packaging marking with deinkable tracers. This allows a future circular economy of food packaging, if TBS guarantees a sorting of food grade materials. Product characterization, food contact compliance testing, LCA, LCC and business modelling will support and guide process development, upscale and design new packaging. The approach addresses the scope of the call exactly, since innovative sorting and recycling solutions are applied to novel designs being developed. That enables the re-use in the same high-value product sector by removing undesirable substances from secondary raw materials. Addressing the annual 2 Mio tonnes of European MLC food packaging, which currently hamper the recycling of 17.8 Mio tonnes of food packaging waste, the expected impact on flexible packaging and food sector is substantial. An interdisciplinary team of 4 RTOs and 10 industrial partners (5 SMEs) will finally implement the new circular economy approach.

Keywords: plastic packaging,food packaging,multi layer materials,industrial,urban waste,tracer based sorting,polyethylene,mechanical recycling,solvent based recycling,safety,new business opportunities
NExt ApplicationS of Quantum Computing (NEASQC)

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,Ireland,Germany,Sweden,Latvia,France,France,France,France,Netherlands,United Kingdom
Call: Complementary call on Quantum Computing (H2020-FETFLAG-2020-01, 2020)
Start date: 2020-09-01
End date: 2024-11-30
Duration (months): 51.0
Total project cost (EUR): 4671332.5
EU funding (EUR): 4671332.5
Participants: 15
Project status: SIGNED

NEASQC is devoted to the emergence of practical applications of quantum computing in its NISQ era, and to the construction of a strong community. NEASQC is use-case centric and organized around 10 real use cases (UC). These UC have been defined by the industrial members and validated by the academic members as NISQ compatible. Each use case will be investigated with a rigorous methodology by an integrated team made of at least one industrial and one academic: 1-Algorithm research and design 2-Development of a prototype software 3-Qualification of the prototype with real data on real or simulated NISQ device 4-Benchmark against state-of-the-art techniques. NEASQC is coordinated by Bull, the Atos subsidiary in charge of Quantum Computing, developer of the QLM/myQLM quantum programming platform. Bull will act as the integrator of NEASQC software deliverables and will guarantee their industrial quality. An important objective of our project is to build an active European community of applied QC. As such, much attention is paid to dissemination, with a significant number of actions toward a large number of end-user communities. The project will welcome associate end users all along. NEASQC will build quantum computing open source libraries out of the use case developments. These libraries will be delivered to the European QT community all along the project, through the project portal. A ready-to-install quantum programming environment (QPE) will be built and made available for free to the community, starting from year 2. NEASQC will work with the flagship funded hardware projects to ensure the QPE is compatible with their platforms. In particular, our libraries will be optimized for each platform. NEASQC does believe in HW/SW co-design, and will define a series of use-case specific benchmarks, to help guide the hardware effort toward the highest efficiency on applications
An innovative process for the regeneration of acids used in the steel pickling process (REGMAX)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Austria
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Pickling is a metal surface treatment used in the stainless steel industry to remove impurities from steel and obtain optimal services. Every hour, approximately 270,000 litres of acid are used in pickling, resulting in huge quantities of waste acid. Alongside the damaging environmental impact, steel pickling works suffer from high operational costs to manage the disposal or regeneration of said acid. SUSTEC has developed the REGMAX system, a new acid regeneration process to provide a sustainable low-cost solution to this problem. The REGMAX system increases acid regeneration rate to over 97% and reduces operational costs by up to 91%. Within the overall project, SUSTEC intends to finalise plant engineering and scale-up regeneration capacity; and commission a pilot plant for a large scale demonstration and validation of the technology in industrial conditions.

Keywords: acid regeneration,waste acid,sustainable steel production,steel pickling
autoMated radiO frequency iDEntification enabled cameRA auTOmation solution foR fencing (MODERATOR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Italy
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-08-01
End date: 2016-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

We are 01Wiring, an Italian company founded in 2009. We specialize in designing, manufacturing and selling hardware and software for automated electronic systems. Over the years, we have developed – from the idea to the finalized product – a range of innovative systems that are used in a host of applications and industries such as transport, healthcare and industrial automation. With MODERATOR we are taking a first step toward developing solutions for the emerging field of technology in sports adjudication. Five years ago, we were involved in the organization of a National Fencing Championship in Bologna, Italy. During this process, we became aware of the relatively basic referee video system – with error prone manual handling and no data system recording – that referees use to make marginal decisions. Being reactive to new markets and opportunities, led by our CEO Ivano Corsini, a fencing enthusiast and past athlete, we have started developing an innovative automated video solution that will transform the sport of fencing, in a similar manner to the Hawk-Eye system for professional tennis. Our project, named Moderator (AutoMated RadiO Frequency IDEntification Enabled CameRA AuTOmation Solution foR Fencing), is a unique automated video and data analytics technology system for fencing. It revolves around our patented camera tracking system developed in collaboration with the Italian Fencing Federation. In becoming the automated camera provider and operator for official fencing tournaments and local clubs around the world, we estimate that our solution has the potential to deliver €12 million in accumulated revenues to our company by 2021 and €2.7 million in accumulated net profits.

Keywords: sport,fencing,tournament,referee,video camera,data analytics,analytics software,automation,rfid tracking