Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
NORATEST: An e-Health solution for a better Alzheimer's diagnosis and management (NORATEST)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Alzheimer's disease (AD) is a major medical problem and is currently an issue of global general interest as the total number of people with dementia is projected to reach ~80M in 2030 and almost duplicating this number by 2050. The lack of an efficient and affordable solution in the AD's health care sector has motivated our company Alzohis to develop NORATEST, a very unique and innovative e-Health platform producing significant improvements, in terms of speed efficiency, in the detection of neurodegenerative diseases. By means of a novel combination of biomarkers “signatures” detectable in the blood with a state-of-the-art computer algorithm NORATEST can discriminate patients suffering AD from those healthy ones, as well as detecting other neurodegenerative diseases. Our prototype, currently at TRL6, is the first reliable non-invasive molecular diagnostic method able to detect the disease in the very early stages, offering several competitive and innovative advantages such as: Cost-effective novel technology, fast, accurate, early ddiagnosis, data privacy coupled to smart analytics, user-friendly and highly scalable and adaptable platform. Our business model is a pay-per-use combined model of charging per analysis and direct online sales. The global AD market shows great opportunities for us since it was worth €2.5 B in 2016 and is set to reach €12.6 B by 2026 (CAGR of 17.5%). Worldwide we expect a market growth in both established and in developing countries, anticipating >5M annual AD's diagnoses in the two main markets leaders based in Europe (2.5-3.5M diagnoses/year) and USA (1.5-2.5M diagnoses/year) by 2024. Our company goal is to become the reference for AD's diagnosis in Europe. We estimated that in 5 years (end of Phase 2 project), we will accumulate 360K diagnosis tests sales (revenue €54M) accounting for ~2% of the EU and USA market. We expect to hire 40 new technical and sales employees and earn ~€32M profit, with a ROI of 6.5.

Keywords: dementia,alzheimer,neurodegenerative diseases,amyotrophic lateral sclerosis,parkinson,progressive supranuclear palsy,frontotemporal lobar degeneration,machine learning,computer algorithms
Robust recycling technology that separates different plastic types from a mix of plastic waste to produce a plastic material directly marketable to manufacturers (TRIBOSORT)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: France
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Plastic is today the 3rd material produced and global production has skyrocketed: from 1.5Mt in 1950 to 322Mt in 2015. But only 5% of worldwide produced plastic is today recycled, being one of the least recycled material. Plastic wastes that are not recycled are called Ultimate scrap residues and come mostly from End-of-life vehicles (ELV) and Waste Electrical and Electronic Equipment (WEEE). Today, companies producing Ultimate scrap residue have two options to discharge this waste: 1) Landfill disposal where they must pay a considerable fee (120€/t in 2015) with a strong environmental impact but this practice is expected to be soon banned in Europe; 2) selling and sending the wastes to Asia (mostly in China) at a price of 250€/ton but with the requirement of investing in expensive pre-treatment systems and with also negative environmental impact. Our TRIBOSORT technology is a unique solution that allows to 1) recycle all ultimate scrap residues from ELV and WEEE, 2) separate its valuable plastic components with a purity of 95% minimum, 3) provide an industrial scale solution with a production capacity of 1.5t/h, 4) produce a final recycled plastic material directly marketable to manufacturers, 5) provide a Recycle certificate along with our final products. APR2 is an experienced SME with 2.6M€ turnover and over 15 years in the plastic recycling market collecting, sorting and dismantling WEEE (over 5Kt treated every year) thanks to our 5,000m2 of exploitation area, 5 dismantling workshops, and 15 approved provider partners to recycle their wastes with recycling rate between 85 and 90%. APR2 has been awarded of many renown prices for its constant investment in R&D (10% annual du CA). Our first TRIBOSORT prototype design obtained a worldwide PCT Patent (WO 2010/109096 A1) and has been today delivered in 7 countries and pending in 2 further countries. We are certified “Adapted Company” (> of 80% handicapped persons employed), ISO 9001, 14001 and 50001.

Keywords: plastic wastes,plastic recycling,ultimate scrap residue,end of life vehicles,waste electrical and electronic equipment,triboelectricity,plastic separation,plastic recycled granulates
Greenverter a revolutionary power converter technology to reduce environmental and economic losses due to electro pollution (GreenVerter)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Hungary
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2020-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Our innovation is constituted by a family of smart inverters (Greenverters) with power ratings of 5, 10, 20 and 50kW that can convert electrical energy from various sources (e.g. solar, wind) to the power grid while improving the power quality. The innovative control structure can realise distributed generation of power from small, domestic renewable energy sources. Our cutting edge controller is capable of optimizing the working point of energy production, maintaining the optimal energy balance, implementing active power factor correction and lowering the extant harmonic distortion in power lines. In addition, it compensates the asymmetry as well as improves the power factor. This increases the lifetime of supplied electrical equipment and devices, reduces the damages, reduces the load of transformers, decreases the losses of energy transfer and enhances the overall efficiency. In addition, Greenverter also helps to significantly reduce extra penalties (typically between 25-50% of electricity bill) imposed by network operators to companies because of the poor power quality consumption (demand charge, penalty on low power factor). Greenverter’s energy optimization also reduces the harmful electromagnetic emissions and thus has a positive impact on the environment. In the Phase 1 project we aim to carry out a feasibility study to prove the technological and economic viability of our project. The success of this proposal will promote the growth of our company.

Keywords: power conversion,inverter,power quality,renewable energy,electrical pollution
Disrupting the Digital Publishing and Advertising Markets by New Digital Services (PubFORWARD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Italy
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2018-04-30
Duration (months): 9.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

PubCoder is an Italian company founded in 2012 by a group of senior executives and software developers with an extensive experience in the digital publishing domain. PubForward is our project to upgrade and launch the first truly integrated and end-to-end authoring tool for the new generation of digital interactive storytelling. PubForward is building on the demonstrated technology of PubCoder2.0 to innovate at business level. With the PubForward project we leverage the advancements in digital storytelling to disrupt not just the way digital books are being produced, but also to create new markets and business opportunities for advertising through active content, introducing connected books, leveraging metadata and user-driven metrics for targeted active content, and the advancement of a design-as-a-service model to increase revenues for self-published authors. PubForward will be exploiting a business opportunity of 7.5 B€/year. With PubForward the costs of the publishing industry to create an interactive e-book will be reduced by 75% as compared to other existing authoring tools. PubForward targets the segments of layout and design and authoring and publishing platforms, which have an estimated value of $910M and €1549M for 2017, and are growing at a CAGR of 16.2% and 28.2% respectively. PubForward fosters user-centric publishing businesses, and the creation of new downstream services, to support businesses. PubForward will also include specific accessibility features to create contents adapted for the dyslexic persons and other learning disabilities. With PubForward we are bringing a turnkey solution to enhance advertising opportunities for publishers through: BigData exploitation, Cross-device targeting, Connected books to increase customer retention by 20%, and embedded advertising through non-invasive active content. We expect at least 91.000 new international professional users (houses and self-published authors) and a ROI of 6.05 by 2021.

Keywords: authoring technology,digital contents,interactive content,digital contents production cost,digital projects,interactive book
General compliant aerial Robotic manipulation system Integrating Fixed and Flapping wings to INcrease range and safety (GRIFFIN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Spain
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-11-01
End date: 2024-04-30
Duration (months): 66.0
Total project cost (EUR): 2499750.0
EU funding (EUR): 2499750.0
Participants: 1
Project status: SIGNED

The goal of GRIFFIN is the derivation of a unified framework with methods, tools and technologies for the development of flying robots with dexterous manipulation capabilities. The robots will be able to fly minimizing energy consumption, to perch on curved surfaces and to perform dexterous manipulation. Flying will be based on foldable wings with flapping capabilities. They will be able to safely operate in sites where rotorcrafts cannot do it and physically interact with people. Dexterous manipulation will be performed maintaining fixed contact with a surface, such as a pole or a pipe, by means of one or more limbs and manipulating with others overcoming the limitations of dexterous manipulation in free flying of existing aerial manipulators. Compliance will play an important role in these robots and in their flight and manipulation control methods. The control systems will be based on appropriate kinematic, dynamic and aerodynamic models. The GRIFFIN robots will have autonomous perception, reactivity and planning based on these models. They will be also able to associate with others to perform cooperative manipulation tasks. New software tools will be developed to facilitate the design and implementation of these complex robotic systems. Thus, configurations with different complexity could be derived depending on the requirements of flight endurance and manipulation tasks from simple grasping to more complex dexterous manipulation. The implementation will be based on additive and shape deposition manufacturing to fabricate multi-material parts and parts with embedded electronics and sensors. In GRIFFIN we will develop a small flapping wings proof of concept prototype which will be able to land autonomously on a small surface by using computer vision, a manipulation system with the body attached to a pole, and finally full size prototypes which will demonstrate flying, landing and manipulation, including cooperative manipulation, by maintaining the equilibrium.

Keywords: aerial robotics,aerial manipulation
Data-Driven Genomic Computing (GeCo)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Italy
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2021-08-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Next-generation sequencing technology has dramatically reduced the cost and time of reading the DNA. Huge investments are targeted to sequencing the DNA of large populations, and repositories of well-curated sequence data are being collected. Answers to fundamental biomedical problems are hidden in these data, e.g. how cancer arises, how driving mutations occur, how much cancer is dependent on environment. But genomic computing has not comparatively evolved. Bioinformatics has been driven by specific needs and distracted from a foundational approach; hundreds of methods solve individual problems, but miss the broad perspective. The objective of GeCo is to rethink genomic computing through the lens of basic data management. We will first design the data model, using few general abstractions that guarantee interoperability between existing data formats. Next, we will design a new-generation query language inspired by classic relational algebra and extended with orthogonal, domain-specific abstractions for genomics. Query processing will trace metadata and computation steps, opening doors to the seamless integration of descriptive statistics and high-level data analysis (e.g., DNA region clustering and extraction of regulatory networks). Genomic computing is a “big data” problem, therefore we will also achieve computational efficiency by using parallel computing on both clusters and public clouds; the choice of a suitable data model and of computational abstractions will boost performance in a principled way. The resulting technology will be applicable to individual and federated repositories, and will be exploited for providing integrated access to curated data, made available by large consortia, through user-friendly search services. Our most far-fetching vision is to move towards an Internet of Genomes exploiting data indexing and crawling. The PI’s background in distributed data, data modelling, query processing and search will drive a radical paradigm shift.

Keywords: data modelling,query language,cloud based and federated data for genomics,genomic data search,genomic open questions
Building-integrated photovoltaic technologies and systems for large-scale market deployment (PVSITES)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Innovation actions
Countries involved: Spain,Germany,Spain,Spain,Italy,Spain,Switzerland,Switzerland,Belgium,France,France,France,Netherlands,Portugal,United Kingdom
Call: Demonstration of renewable electricity and heating/cooling technologies (H2020-LCE-2015-2, 2015)
Start date: 2016-01-01
End date: 2020-06-30
Duration (months): 54.0
Total project cost (EUR): 8490472.5
EU funding (EUR): 5467611.76
Participants: 16
Project status: CLOSED

Building-integrated photovoltaics (BIPV) is currently an expansive market. Market analysts estimate a compound annual growth rate of 18,7% and a total of 5,4 GW installed worldwide between 2013 and 2019. One of the main drivers for BIPV market growth in the EU is the increasingly demanding legislation related to energy performance in buildings. The large potential for energy savings in buildings led the EU Commission to adopt the 2010/31/EU Directive on the energy performance of buildings with the objective that all new buildings are Nearly Zero Energy Buildings (NZEB) by 2020. Renewable energy technologies, and in particular the integration of photovoltaic systems in the building environment offer many possibilities to play a key role within the NZEB scenario. Despite this favorable framework for BIPV technology market uptake, initial estimations of BIPV market growth have been subsequently overestimated in the past few years. A series of demands from the stakeholders which have not been properly addressed by the BIPV value chain are the cause for this deviation. These key requirements are mainly related to the flexibility in design and aesthetics considerations, lack of tools integrating PV and building performance, demonstration of long-term reliability of the technology, compliance with legal regulations, smart interaction with the grid and cost effectiveness. Within this context: The objective of PVSITES project is to drive BIPV technology to a large market deployment by demonstrating an ambitious portfolio of building-integrated solar technologies and systems, giving a forceful, reliable answer to the market requirements identified by the industrial members of the consortium in their day-to-day activity. High impact demonstration and dissemination actions will be accomplished in terms of cost-effective renewable generation, reduction of energy demands and smart energy management.

Keywords: market,deployment,bipv,system,demonstration
Bio-Inspired Self-Assembled Supramolecular Organic Nanostructures (BISON)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Israel
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-06-01
End date: 2022-05-31
Duration (months): 72.0
Total project cost (EUR): 3003125.0
EU funding (EUR): 3003125.0
Participants: 1
Project status: CLOSED

Peptide building blocks serve as very attractive bio-inspired elements in nanotechnology owing to their controlled self-assembly, inherent biocompatibility, chemical versatility, biological recognition abilities and facile synthesis. We have demonstrated the ability of remarkably simple aromatic peptides to form well-ordered nanostructures of exceptional physical properties. By taking inspiration from the minimal recognition modules used by nature to mediate coordinated processes of self-assembly, we have developed building blocks that form well-ordered nanostructures. The compact design of the building blocks, and therefore, the unique structural organization, resulted in metallic-like Young's modulus, blue luminescence due to quantum confinement, and notable piezoelectric properties. The goal of this proposal is to develop two new fronts for bio-inspired building block repertoire along with co-assembly to provide new avenues for organic nanotechnology. This will combine our vast experience in the assembly of aromatic peptides together with additional structural modules from nature. The new entities will be developed by exploiting the design principles of small aromatic building blocks to arrive at the smallest possible module that form super helical assembly based on the coiled coil motifs and establishing peptide nucleic acids based systems to combine the worlds of peptide and DNA nanotechnologies. The proposed research will combine extensive design and synthesis effort to provide a very diverse collection of novel buildings blocks and determination of their self-assembly process, followed by broad chemical, physical, and biological characterization of the nanostructures. Furthermore, effort will be made to establish supramolecular co-polymer systems to extend the morphological control of the assembly process. The result of the project will be a large and defined collection of novel chemical entities that will help reshape the field of bioorganic nanotechnology.

Keywords: peptide self assembly,short aromatic peptides,bionanotechnological building blocks,peptide nanotubes,peptide semiconductors,supramolecular biochemistry
Giving Beekeeping Guidance by cOmputatiOnal-assisted Decision making (B-GOOD)

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: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Finland,Switzerland,Poland,Romania,Belgium,Switzerland,Bulgaria,Belgium,France,Netherlands,Netherlands,Denmark,United Kingdom,Portugal
Call: Making European beekeeping healthy and sustainable (H2020-SFS-2018-2, 2018)
Start date: 2019-06-01
End date: 2023-11-30
Duration (months): 54.0
Total project cost (EUR): 7961170.0
EU funding (EUR): 7961170.0
Participants: 17
Project status: SIGNED

A key to healthy beekeeping is the Health Status Index (HIS) inspired by EFSA’s Healthy-B toolbox which we will make fully operational, with the active collaboration of beekeepers, by facilitating the coordinated and harmonised flow of data from various sources and by testing and validating each component thoroughly. We envisage a step-by-step expansion of participating apiaries, and will eventually cover all EU biogeographic regions. The key to a sustainable beekeeping is a better understanding of its socio-economics, particularly within local value chains, its relationship with bee health and the human-ecosystem equilibrium of the beekeeping sector and to implement these insights into the data processing and decision making. We will fully integrate socio-economic analyses, identify viable business models tailored to different contexts for European beekeeping and determine the carrying capacity of the landscape. In close cooperation with the EU Bee Partnership, an EU-wide bee health and management data platform and affiliated project website will be created to enable sharing of knowledge and learning between scientists and stakeholders within and outside the consortium. We will utilise and further expand the classification of the open source IT-application for digital beekeeping, BEEP, to streamline the flow of data related to beekeeping management, the beehive and its environment (landscape, agricultural practices, weather and climate) from various sources. The dynamic bee health and management data platform will allow us to identify correlative relationships among factors impacting the HSI, assess the risk of emerging pests and predators, and enable beekeepers to develop adaptive management strategies that account for local and EU-wide issues. Reinforcing and establishing, where necessary, new multi-actor networks of collaboration will engender a lasting learning and innovation system to ensure social-ecological resilient and sustainable beekeeping.

Keywords: honey bee,health status index,beekeeping management,decision making,indicators,factors,it application,data flow,database platform,multi actor approach