Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
COmplete Nucleic acid ANalysis at genome scale using ultra high throughput sequencing (CONAN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: France
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-07-01
End date: 2016-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The human genome project has not fully delivered the benefits promised in terms of cost and utility. Complete genome sequencing still costs greater than 1,000€ and offers most people limited value (for example in terms of immediate health benefits). New levels of genetic complexity have been uncovered with the discovery of different types of molecular switches that control the activity of the genes coded by the DNA. It is clear now that full genome analysis requires not just the raw DNA sequence, but a complete reading of the many DNA modifications now known to exist in vivo (for example, 5-mC) and a comprehensive analysis of the dynamic population of RNA within the cell. Complete genome analysis therefore requires the DNA sequence as well as epigenetic and transcriptomic information. Current NGS systems can only indirectly obtain a partial picture of these important aspects of the genome after performing costly sample processing. Based on the pioneering biophysics work of the LPS and carried forward by PicoSeq with the support of several large research grants, we are developing a disruptive technology capable of directly sequencing DNA and RNA, and detecting a wide range of base modifications on responsible for epigenetic changes. This new platform called SIMDEQ (SIngle Molecule Magnetic Detection and Quantification). Our current prototype system is capable of complete nucleic acid analysis, but is limited in its throughput, and is thus limited in its commercial applications. The problem of the limited range of data produced by current NGS technologies will be solved in this program by combining our unique SIMDEQ approach with the advanced manufacturing technologies common in the micro-electronics industry. The core of this project is the development of the CONAN chip, which brings together microwell structures, microscale magnets integrated onto the chip around each well and a digital readout of the relevant signal from each DNA or RNA molecule under examination

Keywords: nucleic acid analysis,high throughput sequencing,complete genome analysis
Disruptive Bike Logistic Smart Trailer for efficient, painless and zero nuisance last mile delivery in cities (Have a BLaST)

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

In Europe, about 50% of light goods could be transported by bike instead of cars, because a bike is fastest on short trips, ecological, without noise, congestion and parking problems. K-Ryole is the first painless electric trailer which can carry a load up to 250 kg, securely and without any additional effort. The trailer can be attached in seconds to any bicycle’s seat tube and turn it into a tool for easy transportation of goods. Indeed, bike is the fastest means of transport of small trips, fully ecological, without noise, congestion and parking problems. Urban last mile logistics is a perfect initial market for K-Ryole. Led by recent explosion of e-commerce (up to 48% growth of delivery volume), and new customers demand for instant delivery services (one-hour, one-day delivery), this segment looking urgently for new solutions to replace cars in urban environment. The interest of customers is big. Several large international retails (Intermarché Letter of intent, Carrefour, Auchan, etc.) as well as parcel delivery companies (The French Postal Company, German Dachser Intelligence Logistics company, Letters of intent) are already started first paying K-Ryole beta-tests and aware to buy product as soon as possible. K-Ryole plans to sell about 10 000 trailers (0,5% market share) in Europe in 2025, earn €55 million and create 98 new jobs. Have a BLaST project will allow the company to develop and industrialise an advanced, connected trailer, with payload increased and lower cost to attract new customers and broaden reachable target. K-Ryole will first complete a feasibility study to further analyse risks and costs of scale-up, the European regulatory frameworks and will conduct in-depth analysis of the global last mile market in cities. The SME Instrument will complement funding necessary to reach commercialisation (~€4m), accelerate international development and permit K-Ryole to become a European and world-wide champion in the urban last mile industry market.

Keywords: urban last mile delivery,electric bike trailer,zero emission,transport engineering,intelligent transport systems,urban transport,control engineering
Controlled metal-catalysed polymerisation of SO2-derived sources to high performance and recyclable materials (PolySO2)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-01
End date: 2023-04-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

The burn of sulphur-rich fossil fuels continues to produce sulphur dioxide as a polluting gas, with high risks to humans and the environment. In PolySO2, we aim to uncover new controlled routes to attain the direct metal-catalysed copolymerisation of sulphur dioxide and sulfone-derived sources in combination with carbon dioxide and other oxygenated monomers. Our goal is to open new sustainable platforms for making unconventional materials from renewable resources that are designed for high performance and recyclability. Moreover, our study of the reaction mechanism will improve our fundamental understanding of the polymerisation steps, which will lead to the design of better metal catalysts and reaction conditions. First, we will investigate the ring-opening polymerisation (ROP) and ring-opening alternating copolymerisation (ROCOP) of these previously unexplored monomer sources. These methods will provide with unprecedented strategies to introduce custom linkages (aliphatic and aromatic) in the main-chain of newly developed polymers: poly(sulfite)s, poly(sulfonate)s, poly(sulfonic ester)s and block copolymers. Secondly, we will seek the best depolymerising strategies of such linear chains in an effort to demonstrate full chemical recyclability. Finally, we will apply the newly developed polymeric materials in the construction of robust elastomers (via phase segregation) and resins (via crosslinking) as well as their thermo-mechanical analysis. This action will promote the return of Dr. Fernando Vidal to the European scientific arena after 8 years in the USA and his retention as an independent researcher in polymer chemistry. His planned work in the group of Prof. Charlotte Williams at the University of Oxford and collaboration with her network of industrial partners will serve as the ideal launching mechanism for his future scientific endeavors.

Keywords: ring opening polymerisation,so2 conversion,recyclable materials,environmental remediation
Virtual reality based evaluation of mental disorders (VRMIND)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-06-01
End date: 2015-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Mental disorders and neurological conditions affect to at least 20% of worldwide population during lifetime. NESPLORA has developed a new ICT system for the evaluation of a range of mental disorders, called “VRMIND”, based on the use of virtual reality (VR) environments. This technology is characterised by the ability to develop, clinically validate and perform innovative diagnosis procedures that simply cannot be done up to now. The patient, wearing virtual reality glasses and headphones, is introduced in different virtual environments specifically designed to diagnose a family of mental disorders. These virtual environments put the patient through multiple expected and unexpected stimuli, propose to execute different actions and ask to respond different questions. At the same time the system monitors the reactions of the patient and registers multiple variables.

Keywords: virtual reality,neurosicience,diagnostic,adhd,memory,executive fuctions
Adaptive Imaging Microscopy (AIM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Netherlands
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-05-01
End date: 2018-10-31
Duration (months): 18.0
Total project cost (EUR): 149998.0
EU funding (EUR): 149998.0
Participants: 1
Project status: CLOSED

The project has a goal of starting up a small business producing highly special customizable microscope systems for biomedical research. Microscopic imaging is one of the major drivers of the progress in biomedical and life sciences. The development of novel concepts, addressing the challenges of advanced optical microscopy, represents the front line of scientific research. Modern microscopes are not purely optical devices anymore. They have developed into complex integrated systems, combining optics, mechanics, electronics, feedback control systems, and image processing Many novel concepts of modern microscopy, while very interesting for research, still have to prove the commercial profitability. Such developments can be effectively addressed by start-up companies with a goal of either custom development, production and service of these advanced systems, or development and selling the IP to a larger player. The major goal of this proposal is the creation of the first commercial optical microscope, the performance of which depends completely on the adaptive optics feedback controls. To prove the feasibility of this approach, we select a highly attractive technical concept of adaptive light sheet microscope, developed in our group in the framework of the ERC project. In this aspect, our development relates to ordinary microscope system in the same way as “fly by wire” airplane relates to an old-fashioned one. Our contribution in the development of instrumentation for biomedical research will bring a positive impact on our knowledge about the nature and ourselves, the quality of life and life expectation of the population. Our proposal addresses the largest societal challenge of Europe: the healthcare. Our instrument will contribute to the understanding of complex diseases and support the greying population to stay healthy and self-supportive for extended period of time.

Keywords: adaptive imaging,light sheet microscopy
Advanced Big Data Value Chain for Public Safety and Personal Security (AEGIS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Big Data PPP (cPPP)
Countries involved: Italy,Italy,Austria,Germany,Cyprus,Switzerland,Greece,Sweden,Greece,United Kingdom
Call: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-06-30
Duration (months): 30.0
Total project cost (EUR): 3927599.95
EU funding (EUR): 2999200.0
Participants: 11
Project status: CLOSED

AEGIS, brings together the data, the network & the technologies to create a curated, semantically enhanced, interlinked & multilingual repository for public & personal safety-related big data. It delivers a data-driven innovation that expands over multiple business sectors & takes into consideration structured, unstructured & multilingual datasets, rejuvenates existing models and facilitates organisations in the Public Safety & Personal Security linked sectors to provide better & personalised services to their users. AEGIS will introduce new business models through the breed of an open ecosystem of innovation & data sharing principles. From the technology perspective, AEGIS targets to revolutionise semantic technologies in big data, big data analytics & visualisations as well as security & privacy frameworks by addressing current challenges & requirements of cross-domain & multilingual applications. The main benefits derived from AEGIS to data identification, collection, harmonisation, storage & utilisation towards value generation for these sectors will be: Unified representation of knowledge; Accelerated, more effective & value-packed cycles of intelligence extraction & of services & applications development; Introduction of novel business models for the data sharing economy & establishment of AEGIS as a prominent big data hub, utilising cryptocurrency algorithms to validate transactions & handle effectively IPRs, data quality & data privacy issues though a business brokerage framework. Based on an early market analysis, the Total Addressable Market of AEGIS is up to $31bn (€27.1bn); AEGIS is able not only to capture a portion of the market size, but also to expand the pie through creating additional uncaptured value based on small data integration in typical big data repositories & algorithms. Based on the same analysis, the project will break even & will be viable from its launch (2020) & will have a ROI investment of EU-commission in the first years.

Keywords: big data,public safety,personal security,sensor data,cross sector,multi lingual,data value chain
The Professional Platform for sustainable and connected buildings (eSMART)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Switzerland
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-03-01
End date: 2018-06-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Despite the great potential of home automation systems on improving energy efficiency in the residential sector, its market penetration remains very low. This is mainly due to the high cost and complex installation of current solutions in the market. eSMART brings Swiss made technology to revolutionize the European home automation market. The eSMART-building brings together all apartment’s basic functions on one wall-mounted touchscreen (also accessible via a smartphone application): videophone, heating regulation room-by-room, energy consumption monitoring in real-time with consumption history. eSMART systems work with modules which offer advanced Power Line Carrier technology and which are located behind standard electrical equipment (e.g. sockets). Therefore, eSMART patented technology requires no extra cabling, circuit board intervention or bus line using the existing electrical wiring with no other technical requirements. Fully upgradeable, the systems can be supplemented freely with other eSMART modules and products that use radio Z-Wave technology. The general objective of this project is the industrial adaptation and commercialization of our technology to introduce the eSMART system in the home automation market in Europe. With different electricity standars, in Switzerland and Italy is I=10A, the rest of EU countries have an I=16A network (except UK with 13A). Our vision is contributing to the development of the eco-friendly platforms increasing the efficiency of energy building consumption, decreasing the cost of energy for the owners and tenants and contributing to the European commitments in the COP21 framework to reduce the greenhouse gas emissions by 2030. We aim to achieve sales of 29M€ by 2024 due to the sales of about 14,000 units of eSmart in Europe. Based on current and future manufacturing cost and selling price, we calculate a cumulative gross profit of 17M€ by 2024. Considering a total investment of 3,2M€ the Return of Investment by 2024 is 4.3

Keywords: user friendly,building automation system,platform,energy efficiency,security,comfort,home management,consumption habits,integration,simple installation,system embedded,real estate projects
Learn to learn human learning process from teleoperated demonstrations (L3TD)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2022-12-31
Duration (months): 18.0
Total project cost (EUR): 168700.32
EU funding (EUR): 168700.32
Participants: 1
Project status: CLOSED

Learning from demonstration (LfD) is a paradigm for enabling robots to autonomously learn from demos to perform new tasks. But, environmental changes, expensive demonstration cost, and potential uncertainties caused by data-based learning make it hard to be applied in actual. The project aims to propose a robot skill learning framework from human learning process via a teleoperation interface to achieve human-like skill learning characteristics such as few-shot learning, learning from failed attempts and tentative actions, and strong skill transfer and generalization ability. Five work packages will be taken to realize the objectives. First, a teleoperated interface will be equipped with multi-sensors and special exoskeleton to minimize information difference between humans and robots. After building a scalable primitive skill (PS) library based on task segmentation with multimodal information, new theories of PS learning and PS-based task graph learning are explored. PS will be learned and generalized based on improved meta-learning that is associated and explained by physical laws and neural motor disciplines. The PS-based task graph will be learned from the human learning process, achieving failure reasoning and adaptation to zero/few-shot tasks. Some practical problems e.g. incomplete data set and difference of sim-to-real applications will also be addressed. Finally, the previous theories will be certified by medical robot tasks. The applicant will acquire a solid state-of-the-art interdisciplinary scientific training in the multidisciplinary research fields, such as artificial intelligence, robotics technologies and mechanical design, and that will enable him to generate new scientific knowledge and quickly develop his research career and leadership. The final aim is to consolidate Europe as the world leader in robot and AI areas and to benefit European robotics applications in industry, surgery, and nuclear waste disposition.

Keywords: robotics technique,learning from demonstration,teleoperation,process learning,meta learning,task graph,mechanical design
Are microbes the ultimate drivers of subsurface weathering? Rates, actors, mechanisms and nanoscale imprints of the bioweathering of fresh and aged silicates (Mobidic)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1984562.5
EU funding (EUR): 1984562.5
Participants: 1
Project status: SIGNED

The ambition of this proposal is to provide the very first realistic assessment of the contribution of microbes to subsurface silicate weathering rates. The motivation is simple: ~70% of Earth’s bacteria and archaea live underground, and microbes have long been suspected to impact silicate weathering rates, which affect the Earth’s climate. However, the rates and mechanisms of silicate bioweathering essentially remain a terra incognita, particularly in basalt settings. Such environments are suggested to be a potential host for early life and represent prime targets for massive injections of CO2 to fight against global warming, whose success strongly relies on silicate reactivity. Having a deep insight on the respective biotic and abiotic contributions to subsurface silicate weathering rates is therefore fundamental and urgent. Providing such estimates requires to overcome a twofold challenge: 1) to quantify dissolution rates in aqueous fluids that sustain endemic microbial communities and at the same time 2) to supersede the classical use of freshly ground substrates, whose reactivity is orders of magnitude greater than that of aged silicates long altered in natural settings. This proposal offers a solution: An interdisciplinary and non-conventional approach to assess the contribution of microbes to silicate weathering rates in complex environmental media. It consists in measuring dissolution rates using non-invasive nanotopography measurements of the silicate substrates reacted in natural solutions. These substrates will be treated beforehand to get surface properties that mimic various stages of aging. These measurements will be combined with studies of the microbial diversity associated with the substrates, innovative nanoscale characterizations of the reacted surfaces, and modeling of the dissolution process based on first principles. This strategy will provide an unprecedented and timely picture of the functioning and rates of subsurface silicate bioweathering.

Keywords: silicate weathering,dissolution kinetics,microbial communities,basaltic provinces,bioweathering,subsurface,dissolution mechanisms,microbe silicate interface,deep biosphere