Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
First responder Advanced technologies for Safe and efficienT Emergency Response (FASTER)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Increase Europe's resilience to crises and disasters
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Spain,Malta,Greece,Belgium,Finland,Greece,Poland,Greece,Greece,Greece,France,France,Netherlands,Japan,Portugal,Portugal
Call: Technologies for first responders (H2020-SU-SEC-2018, 2018)
Start date: 2019-05-01
End date: 2022-04-30
Duration (months): 36.0
Total project cost (EUR): 7315375.0
EU funding (EUR): 6999750.0
Participants: 28
Project status: CLOSED

The term first responders usually refers to law enforcement, fire, and emergency medical personnel. These responders, however, are not the only assets that may be required in the aftermath of a strike on the homeland. In contrast, the more appropriate term, emergency responders, comprises all personnel within a community that might be needed in the event of a natural or technological (man-made) disaster or terrorist incident. These responders might include hazardous materials response teams, urban search and rescue assets, community emergency response teams, anti-terrorism units, special weapons and tactics teams, bomb squads, emergency management officials, municipal agencies, and private organizations responsible for transportation, communications, medical services, public health, disaster assistance, public works, and construction. In addition, professional responders and volunteers, private nonprofit, nongovernmental groups (NGOs), such as the Red Cross, can also play an important role in emergency response. As a result, the tasks that a national emergency response system would be required to perform are more complex than simply aiding victims at the scene of a disaster, carried out by several kinds of professional users with different roles and expertise. Moreover, emergency preparedness and response lifecycle is a complex process that consists of the preparation, response, and recovery from a disaster, including planning, logistical support, maintenance and diagnostics, training, and management as well as supporting the actual activities at a disaster site and post-recovery after the incident.
FLEXible phased array system for sat-COM applications (FLEXCOM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling advances in space technology
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Germany,Spain,Italy,Italy,Poland,France,France
Call: Satellite communication technologies (H2020-SPACE-2020, 2020)
Start date: 2020-12-01
End date: 2023-11-30
Duration (months): 36.0
Total project cost (EUR): 2892187.5
EU funding (EUR): 2892187.5
Participants: 10
Project status: SIGNED

FLEXCOM aims at building a new class of phased arrays technology for airborne, spaceborne and Earth segment satellite communications with an unpreceded level of flexibility and re-configurability. Specifically, FLEXCOM will deliver a highly integrated antenna tile conceived to be the building block through which several SatCom antenna types may be build. The FLEXCOM tiles are designed to be used in different scenarios and for different applications, so responding to the needs of a continuously evolving SatCom market and enforcing a significant reduction of life-cycle costs. The developed tiles by will provide - Broadband TX/RX operations at K/Ka band in a single radiating aperture; - Possibility to adopt two different beamforming cores, namely Hybrid Analog/Digital beamforming or, for the first time for K-Ka SatCom applications, a fully-digital beamforming with direct conversion; - Electronic steering, multibeam and smart antennas functionalities; FLEXCOM will develop and integrate in each tile the following beyond the state-of-the-art subsystems: - TX/RX K/Ka band Analog Front Ends (AFE) based on multicore SiGeBiCMOS RFICs, including phase shifters and down conversion stages; - A Digital Beamforming processor dedicated to satcom applications; - Dual band radiating apertures covering K/Ka satcom and 5G bands. The HYPAC technology will be demonstrated building and testing three prototypes relevant to real use cases: - a prototype for Internet of Things and Machine to Machine applications; - a DRA integrated on a UAV platform; - a feed for a transmit array, intended for High Altitude Platform application. FLEXCOM will contribute to the development of the European research and technology ecosystem combining in the consortium, a strong industrial partnership covering both the SatCom (THALES and TTI) and the 5G network (NOKIA and SIAE) area as well as key players in the supply chain (TE2V, ANTECNICA and EVATRONIX). This partnership will include two academic instit

Keywords: satcom user terminals
Quantification of the intestinal load of a targeted set of resistance genes to Monitor Antibiotic Resistance in paediatric transplant patients (qMAR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-11-23
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

The gut microbiome is involved in numerous processes that include protection against colonization and infection by pathogenic organisms. The extensive use of antibiotics could result in dysbiosis with detrimental effects on the health of the individual, in addition to increasing the risk of driving the emergence of multi-drug resistant organisms. This is especially concerning among paediatric transplant patient, a group of patients with special needs that are heavily reliant on antibiotics after surgery. It has been shown that determining the load of resistance genes among the gut microbial organisms could be a predictive factor for the development of pathogenic infections. Along these lines, qMAR’s main objective is to evaluate the use of qPCR for monitoring biomarkers, in terms of the intestinal load of selected antibiotic resistance genes in the resistome over time, as tools that could be used in PMed approaches for paediatric transplant patients. In order to achieve this, faecal samples and medical records will be collected from each paediatric transplant patients over a period of 12 months. Antibiotic susceptibility testing will be performed using VITEK-2. qPCR will be performed directly on the samples in order to determine the load of epidemiologically relevant resistant genes over time. Multi-locus sequence typing will be performed for determining the clonality of the isolates. Statistical analyses will also be performed in order to determine associations between clinical interventions, the load of resistance genes, and clinical outcomes. The main expected result is determining a threshold of resistance genes after which adverse clinical outcomes would be expected, and determining how clinical interventions are affecting the load of resistance genes and the microbiome.

Keywords: qpcr,antibiotic resistance,paediatric transplant patients,load of resistance genes
Bilayered ON-Demand Scaffolds: On-Demand Delivery from induced Pluripotent Stem Cell Derived Scaffolds for Diabetic Foot Ulcers (BONDS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Ireland
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2017-10-01
End date: 2022-09-30
Duration (months): 60.0
Total project cost (EUR): 1372135.0
EU funding (EUR): 1372135.0
Participants: 1
Project status: CLOSED

This program’s goal is to develop a scaffold using a new biomaterial source that is functionalised with on-demand delivery of genes for coordinated healing of diabetic foot ulcers (DFUs). DFUs are chronic wounds that are often recalcitrant to treatment, which devastatingly results in lower leg amputation. This project builds on the PI’s experience growing matrix from induced-pluripotent stem cell derived (iPS)-fibroblasts and in developing on-demand drug delivery technologies. The aim of this project is to first develop a SiPS: a scaffold from iPS-fibroblast grown matrix, which has never been tested as a source material for scaffolds. iPS-fibroblasts grow a more pro-repair and angiogenic matrix than (non-iPS) adult fibroblasts. The SiPS structure will be bilayered to mimic native skin: dermis made mostly by fibroblasts and epidermis made by keratinocytes. The dermal layer will consist of a porous scaffold with optimised pore size and mechanical properties and the epidermal layer will be film-like, optimised for keratinisation. Second, the SiPS will be functionalised with delivery of plasmid-DNA (platelet derived growth factor gene, pPDGF) to direct angiogenesis on-demand. As DFUs undergo uncoordinated healing, timed pPDGF delivery will guide them through angiogenesis and healing. To achieve this, alginate microparticles, designed to respond to ultrasound by releasing pPDGF, will be interspersed throughout the SiPS. This BONDS will be tested in an in vivo pre-clinical DFU model to confirm its ability to heal wounds by providing cells with the appropriate biomimetic scaffold environment and timed directions for healing. With >100 million current diabetics expected to get a DFU, the BONDS would have a powerful clinical impact. This research program combines a disruptive technology, the SiPS, with a new platform for on-demand delivery of pDNA to heal DFUs. The PI will build his lab around these innovative platforms, adapting them for treatment of diverse complex wounds.

Keywords: tissue engineering,biomaterial scaffolds,on demand drug delivery,scaffold fabrication techniques,freeze drying,plasmid dna,diabetic foot ulcers
software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures (ALOHA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Austria,Italy,Israel,Austria,Italy,Switzerland,Greece,Netherlands,Netherlands,United Kingdom
Call: Customised and low energy computing (including Low power processor technologies) (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2021-06-30
Duration (months): 42.0
Total project cost (EUR): 5976415.0
EU funding (EUR): 5976415.0
Participants: 16
Project status: CLOSED

Deep Learning (DL) algorithms are an extremely promising instrument in artificial intelligence, achieving very high performance in numerous recognition, identification, and classification tasks. To foster their pervasive adoption in a vast scope of new applications and markets, a step forward is needed towards the implementation of the on-line classification task (called inference) on low-power embedded systems, enabling a shift to the edge computing paradigm. Nevertheless, when DL is moved at the edge, severe performance requirements must coexist with tight constraints in terms of power/energy consumption, posing the need for parallel and energy-efficient heterogeneous computing platforms. Unfortunately, programming for this kind of architectures requires advanced skills and significant effort, also considering that DL algorithms are designed to improve precision, without considering the limitations of the device that will execute the inference. Thus, the deployment of DL algorithms on heterogeneous architectures is often unaffordable for SMEs and midcaps without adequate support from software development tools. The main goal of ALOHA is to facilitate implementation of DL on heterogeneous low-energy computing platforms. To this aim, the project will develop a software development tool flow, automating: • algorithm design and analysis; • porting of the inference tasks to heterogeneous embedded architectures, with optimized mapping and scheduling; • implementation of middleware and primitives controlling the target platform, to optimize power and energy savings. During the development of the ALOHA tool flow, several main features will be addressed, such as architecture-awareness (the features of the embedded architecture will be considered starting from the algorithm design), adaptivity, security, productivity, and extensibility. ALOHA will be assessed over three different use-cases, involving surveillance, smart industry automation, and medical application domains

Keywords: deep learning,convolutional neural networks,computer aided design
Valorisation of mushroom agrowastes to obtain high value products (FUNGUSCHAIN)

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: Innovation actions
Partnership: BBI (Art-187)
Countries involved: Spain,Ireland,Italy,Spain,Germany,Germany,Spain,Italy,Sweden,Croatia,Belgium,Croatia,Netherlands,Netherlands,United Kingdom,Portugal
Call: Valorisation of agricultural residues and side streams from the agro-food industry (H2020-BBI-PPP-2015-2-1, 2015)
Start date: 2016-11-01
End date: 2021-04-30
Duration (months): 54.0
Total project cost (EUR): 8143661.25
EU funding (EUR): 5700547.0
Participants: 17
Project status: CLOSED

The project aims at the valorization of agricultural residues coming from mushroom (Agaricus Bisporus) farming residues as a case to set up new cascading possibilities using innovative procedures to extract high value bio-based additives (antioxidants, antimicrobials, proteins), convert lipids into bioplasticizers and polysaccharides (glucans and fermentable sugars) into biopolymers using remaining side streams in substrates to close the agricultural cycle by composting and/or biogas synthesis. The funguschain project will demonstrate its industrial viability by building a new biorefinery that will use cost-effective extraction technologies (MAE and HWPE) revalorizing more than 65% of waste into valuable additives. These additives will be incorporated into high added value products and industrially validated towards 3 key value chains in the European economy (food, cleaning and plastic sectors). Industrial lines from end-users will be modified and adapted to the developed products. These products are: food supplements for elderlies, cleaning products, novel biobased thermoplastic masterbatches, bioplasticizers and industrial film products (thin bags and gloves <15 microns, partially recycled thick bags >50 microns and mulching). A business strategy to valorise the products in a collaborative manner will be designed, leading to safe, sustainable, economically viable and attractive products acceptable to consumers. Partners will ensure that products meet legal and market requirements. The project will forge and propel industries growing within the frame of the European bioeconomy, boosting the community network. The consortium involves 16 partners (4 RTDs, 4 Large industry and 8 SMEs) accounting with 5 BBI full members and 3 associate members. Funguschain project has a duration of 48 months and a total estimated budget of 8,143,661 M€ plus 3,500,000M€ in additional activities dedicated to the construction of the DEMO biorefinery plant.

Keywords: mushroom waste,spent mushroom substrate,pilot lines,rural development,food additives,industrial additives for biopolymer processing,cascading approach,marketabilty,business plan
Swarms of underwater robots for fast & accurate water quality measurements (VERTEX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The world's oceans & lakes are under increasing stress caused by the climate change & increasing pollution (primarily driven by increasing urbanization in developing countries), but littleThe world's oceans & lakes are under increasing stress caused by the climate change & increasing pollution (primarily driven by increasing urbanization in developing countries), but little is known about them as data is difficult & expensive to obtain. State-of-the-art technology is mostly high OPEX dedicated ships with a lot of labor needed to survey for hours. Hydromea has developed the miniature robotic Vertex submersible that can operate in swarms & measure the quality of large bodies of water much faster & more cost efficiently than the existing alternatives. Using swarms of miniature underwater robots. Hydromea provides a high-resolution underwater sensing service. Using the Vertex AUV, a small underwater robot, specifically designed in-house to be deployed in large swarms by 1-2 operators, Hydromea can provide consistent, high-density, 3D maps of many physical & chemical water parameters. Vertex swarms can collect 10-100x more information about environmental qualities in a single pass than is possible to collect with the current methods. With this technology we will commercialize a service where we will detect & map oil spills or discharged wastewater plumes, assess the environmental impact of construction projects & create detailed high-resolution maps charting the health of marine ecosystems. We will improve the state-of-the-art in coastal oceanology & limnology by drastically cutting the measurement costs with swarms of Vertex underwater drones. We have already had 1st market traction by selling custom high-performance components, developed in-house & signed commercial NDAs with major global oil/gas, dredging & research prospects like Schlumberger, Boskalis & Deltares. By 2022 we are aiming to build ~400+ AUVs reaching the overall sales revenues of ~15m & ~35 employees.

Keywords: swarm,underwater robot,underwater sensing
Counterfeiting and Piracy will not affect to our firms in the EU any longer. (ETIQMEDIA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-09-01
End date: 2020-02-29
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Etiqmedia Soluciones Audiovisuales, S.L. is an ICT innovative high-tech startup created in 2016 and emerged from the one of the Spain’s leading engineering centers: Aragon Institute of Technology. We are specialized in developing platforms to process video and audio applying multimedia technology. As an acknowledgement for our business trajectory, we have won the “IDEA Innovative Award 2017" for “Best Start-up” sponsored by Spanish Government, and we´ve received the Spanish Seal of Innovative Excellence in 2018 (NEOTEC: SNEO-20171032). Counterfeit and pirated trade is a global and dynamic phenomenon that describes a range of illicit activities related to intellectual property rights (IPR) infringement such as: copyright, trademarks, design rights and patents. In 2013, international piracy trade represented up to 2.5% (USD 461 billion) of world trade. This is the equivalent of the GDP of Austria, or the combined GDP of Ireland and the Czech Republic. At this point, ETIQMEDIA has developed the best tool to fight against piracy (Business opportunity). ETIQMEDIA has designed and developed the first digital system able to look for, count and sort the amount of times that images, faces(people), texts and voices appear in any media channel (such as TV, Radio and Internet) at the same time and in real time. Our innovative solution is able to locate who the “pirate” is and where is located in any part of the world, as well as to know what intellectual property right is being violated by the pirate. This solution has been validated in a study pilot. ETIQMEDIA focusses on the cultural and creative market, which is composed by 700,000 cultural-oriented enterprises in EU. Target customers are MEDIA Operators, Public Administrations and Universities. Expected Impact is additional employment of 25 jobs and increase of yearly profit margin of EUR 11.17mn until the fifth year of market introduction at EBITDA Return of Investment (ROI) of 6.

Keywords: piracy,internet,copyright,trademarks,patents,speech,facial,text recognition technology
Fighting Crime and TerroRism with an IoT-enabled Autonomous Platform based on an Ecosystem of Advanced IntelligEnce, Operations, and InveStigation Technologies (CREST)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Ireland,Spain,Israel,Estonia,Germany,Spain,Italy,Greece,Poland,Romania,Moldova, Republic of,Bulgaria,Greece,Belgium,Netherlands,United Kingdom,United Kingdom,Portugal
Call: Technologies to enhance the fight against crime and terrorism (H2020-SU-SEC-2018, 2018)
Start date: 2019-09-01
End date: 2023-02-28
Duration (months): 42.0
Total project cost (EUR): 6999078.75
EU funding (EUR): 6999078.75
Participants: 25
Project status: SIGNED

CREST aims to equip LEAs with an advanced prediction, prevention, operation, and investigation platform by leveraging the IoT ecosystem, autonomous systems, and targeted technologies and building upon the concept of multidimensional integration and correlation of heterogeneous multimodal data streams (ranging from online content to IoT-enabled sensors) for a) threat detection and assessment, b) dynamic mission planning and adaptive navigation for improved surveillance based on autonomous systems, c) distributed command and control of law enforcement missions, d) sharing of information and exchange of digital evidence based on blockchain, and e) delivery of pertinent information to different stakeholders in an interactive manner tailored to their needs. CREST will also provide chain-of-custody, and path-to-court for digital evidence. Human factors and societal aspects will also be comprehensively addressed, while information packages for educating the wider public on identifying threats and protecting themselves will be prepared and distributed.The platform development will adopt ethics and privacy by-design principles and will be customisable to the legislation of each member state. CREST will be validated in field tests and demonstrations in three operational uses cases: 1) protection of public figures in motorcades and public spaces, 2) counter terrorism security in crowded areas, and 3) Cross-border fight against organised crime (e.g. firearms trafficking). Extensive training of LEAs' personnel, hands-on experience, joint exercises, and training material, will boost the uptake of CREST tools and technologies. With a Consortium of 8 LEAs from 8 European countries, 7 research/academic institutions, 1 civil organisation, and 7 industry partners, CREST delivers a strong representation of the challenges, the requirements and the tools to meet its objectives.

Keywords: leas,autonomous systems,sensors,web monitoring,computer vision,cyber threats,blockchain,audit trail,visual analytics,command and control,human factors