Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Computational modelling of evolutionary dynamics in the deep sea (DeepTrees)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United States,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-01
End date: 2018-10-31
Duration (months): 36.0
Total project cost (EUR): 251857.8
EU funding (EUR): 251857.8
Participants: 2
Project status: CLOSED

DEEPTREES will unite disciplines across life sciences, to use DNA barcoding to put error bars on the fossil record. A major challenge remains to unlock the data from past mass extinction events in earth’s history to help prepare us for the future. This is only possible by combining the cutting edge work of the University of California Museum of Paleontology and Centre for Computational Biology with the unique approach of integrating fossil and living deep-sea biodiversity in Sigwart’s established research programme. The hosts will provide intensive training for Sigwart in computation modelling to investigate evolutionary dynamics during and after the ancient mass extinction events that are the only basis for understanding our current global biodiversity crisis. The patchy nature of the fossil record in space and time means that our knowledge of past extinction dynamics is estimated, usually from counting the first and last appearance of species-groups. It has been impossible to know how much diversity is contained within each group, or how comparable they are, until now. DEEPTREES will focus on marine invertebrates that have persisted through past mass extinction events: the survivors, found in large density in natural deep sea communities on organic substrata, using samples already secured for this project. Morphological and genetic features that separate living species will be quantified to develop a Bayesian framework to determine how many species cannot be counted because their defining features were not preserved. A novel modelling approach developed by Sigwart with input from Berkeley colleagues will integrate all these new data to calculate the hidden diversity in past extinction rates, bridging the gap between fossil and living species. DEEPTREE‘s new tools for quantifying diversity will revolutionise biodiversity assessments, with special relevance for the Marine Strategy Framework Directive, and may change the way we think about extinction forever.

Keywords: deep sea,woodfall,mass extinction,taxonomic mesocosm,cryptic species,taxonomic surrogacy
Vision and Hearing In Action Laboratory (VHIALab)

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: France
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-02-01
End date: 2019-01-31
Duration (months): 12.0
Total project cost (EUR): 149866.0
EU funding (EUR): 149866.0
Participants: 1
Project status: CLOSED

The objective of VHIALab is the development and commercialization of software packages enabling a robot companion to robustly interact with multiple users. VHIALab builds on the scientific findings of ERC VHIA (February 2014 - January 2019). Solving the problems of audio-visual analysis and interaction opens the door to multi-party and multi-modal human-robot interaction (HRI). In contrast to well investigated single-user spoken dialog systems, these problems are extremely challenging because of noise, interferences and reverberation present in far-field acoustic signals, overlap of speech signals from two or more different speakers, visual clutter due to complex situations, people appearing and disappearing over time, speakers turning their faces away from the robot, etc. For these reasons, today's companion robots have extremely limited capacities to naturally interact with a group of people. Current vision and speech technologies only enable single-user face-to-face interaction with a robot, benefitting from recent advances in speech recognition, face recognition, and lip reading based on close-field microphones and cameras facing the user. As a consequence, although companion robots have an enormous commercialization potential, they are not yet available on the consumer market. The goal of VHIALab is to further reduce the gap between VHIA's research activities and the commercialization of companion robots with HRI capabilities. We propose to concentrate onto the problem of audio-visual detection and tracking of several speakers, to develop an associated software platform, to interface this software with a commercially available companion robot, and to demonstrate the project achievements based on challenging practical scenarios.

Keywords: human robot interaction,computer vision,audio signal processing,audio visual fusion,companion robots
Minimizing exposure of humans to potential carcinogenic dust and increasing competitiveness with robots in composite parts machining. (FIBREMACH)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Spain,Spain,Spain,Germany,Italy,Spain
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2020)
Start date: 2021-06-01
End date: 2023-12-31
Duration (months): 31.0
Total project cost (EUR): 2224420.3
EU funding (EUR): 1704729.25
Participants: 6
Project status: SIGNED

Manufacturing is one of the strongest motors of the European economy. The recent Covid-19 crisis has remarked even more the importance of maintaining manufacturing in Europe and the risks of offshoring the production and at the same time this is a unique opportunity to reshape the economy and change the way Europe manufactures products. Before the coronavirus crisis there was a clear trend to replace metal parts by composite parts to reduce the weight of the components and increase the performance of products. The global composites market size was expected to grow from USD 74 billion in 2020 to USD 112.8 billion by 2025, at a CAGR of 8.8%, but unfortunately the EU market share was not growing as rapidly. Moreover, EU composite manufacturing industry was extremely concerned with the dust generated during composite machining due to the potential cancer risk related to the breathing of fibres and resin, and severe health issues on skin, eyes, lungs and liver. The strategy set on the Recovery Plan for Europe by the European Commission provides an optimistic future for composite manufacturing in Europe, since it is aligned with the strategy of reinforcing the stronger industrial capability and the EU Green Deal for cleaner transport and logistics (composites for lightweight cars and planes) and rolling out renewable energy projects (composites for wind mill blades). FIBREMACH project answers the needs of European composite part manufacturers for cleaner processes and to increase the competitiveness of the EU industry by proposing a robotic system that will disrupt current state of the art of composite machining including an internal dust suction system for improved health and safety conditions by minimizing the exposure of humans to dust with fibres and resins, reduced energy consumption, increased performance and continuous process monitoring and control for “control for “right the first time” machining, while being 68% cheaper than milling machines.

Keywords: machining,composite,automation,control,vision,occupational health
Metallurgical patented Process Transforming Residues from the Electronic Industry into Valuable Precious Metals (METALLICA)

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, 2017)
Start date: 2017-08-01
End date: 2017-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Waste Electrical and Electronic Equipment (WEEE) is a complex mixture of materials and components that - because of their hazardous content, and if not properly managed (improperly treated and/or exported abroad) — can cause major environmental and health problems. Moreover, the production of modern electronics requires the use of scarce and expensive resources such as precios metals. In the meanwhile, Europe loses enormous amounts of said metals by waste incineration, landfilling or exporting of WEEE. In addition, WEEE is expected to reach 12 million tonnes a year by 2020. So to improve for the processing of WEEE with the aim to enhance resource efficiency the improvement of collection, treatment, and recycling of electronics at the end of their life as well as reduce the CO2 footprint (environmental/health impact) and contribute to a circular economy, our company, UrbanGold has developed the technology of METALLICA. The core of our technology consists of a novel specialised smelting furnace in combination with an optimised separation and refining process of innovative cooling system, increased efficiency, and reduced lead time which allow the recovery with high level of purity of base, precious, and special metals along with the self-generation of electrical power, all from low grade WEEE (scrap) and while dealing with all hazardous emissions generated.With the operation of the benchmark recycling plant of METALLICA, UrbanGold will generate 70 skilled jobs and an annual turnover of around 60 million € after start-up. Additional revenues will come from licensing IP rights of technology to potential customers; metallurgical companies/groups, investors, and municipalities interested in a highly profitable, sustainable, and of compact size recycling plant (30,000 tonnes/year) for WEEE in their urban areas.

Keywords: weee,e waste,metallurgical processes,smelting furnace,waste electrical and electronic equipment,landfilling,base metals,precious metals,crms,critical raw materials,rare earth elements
New nanomaterials for neural stem cells drug delivery (NANOSTEM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Austria,Germany,Germany,Italy,Germany,Sweden,France,France,United Kingdom,United Kingdom,Portugal,Portugal,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-06-01
End date: 2022-05-31
Duration (months): 48.0
Total project cost (EUR): 3590354.52
EU funding (EUR): 3590354.52
Participants: 15
Project status: CLOSED

Brain conditions such as neurodegenerative diseases, stroke and traumatic injuries are a mayor burden in modern society. Because neural stem cells (NSCs) can differentiate into new neural cells including neurons, the regulation of their proliferation, differentiation and migration represent a promising regenerative/therapeutic strategy. The hypothesis of NanoStem project is that novel nanoparticles (NPs) combined with recent identified/developed pharmaceuticals can be an efficient approach to control the biological activity of NSCs. The scientific project is organized in three work packages (WP), each focusing on specific objectives and containing well-defined deliverables. WP1 will focus on the synthesis of the nanomaterials and the uploading of the therapeutics. WP2 will take the best nanoparticles and focus more on the evaluation of the permeation and efficacy of the formulations against NSCs. WP3 will focus on in vivo studies to evaluate the formulations developed to tackle the brain and to assess their toxicity. The project will train 14 ESRs in areas including organic and polymer chemistry, cell biology, pharmacology, neuroscience, nanobiotechnology and clinical sciences. The project will also provide a substantial training program in complementary skills, targeting both professional and personal development, and translation of research and entrepreneurship. The project brings together six academic partners, one hospital and two industrial teams as full partners, complemented by four associate partners, one of which is an industrial team, distributed over a total of seven European Union member states. The consortium brings together groups with a very interdisciplinary expertise ranging from nanoparticle synthesis and characterization, computational modeling, in vitro BBB models and BBB transport, neural stem cells, animal testing and clinical expertise.

Keywords: nanomaterials,neural stem cells,drug delivery
Food Retail Industry Supply Chain Optimization (FRISCO): Food Discount Intelligence to Reduce Food Waste through the implementation of the FoodLoop Platform (FRISCO)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Germany
Call: Resource-efficient eco-innovative food production and processing (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

The way to more resource-efficiency goes through the stomach in many ways: Resource-efficient grocery production is a core challenge of sustainable development. Food that is not being eaten, destroy ecological and economic resources and aggravate social conflicts. Food waste has emerged front & center as a key sustainability challenge, which has gained much attention around the world. Worldwide, there is about 1.3 billion tons of food wasted every year and more than 40% of this waste happens at the retailer & consumer end. Large amounts of fresh food is wasted due to products not being sold before their best before date (BBDs) or due to the inefficient batch management & adjacent “Freshness-Policy” of retailers in industrialized countries. That results in the disposal of fresh products up to weeks prior to their BBDs. Currently, to combat this, retailers resort to marking down perishables that are overstocked or reaching their BBDs. This common practice has remained stagnant despite technological advancements. These best before & freshness deals are not efficiently communicated to the consumers in time, resulting in avoidable food waste. The urgency in developing IT services & communication strategies with clear win-win messaging needs therefore to be addressed; not only to motivate consumers to demand food discounts on fresh products close to the best before dates, but especially to accompany businesses to exploit the added value of resource-efficient models cutting food waste significantly in the long term and thus benefit in multiple ways. A shift towards a zero food waste supply chain needs to become mainstream. The FoodLoop platform is geared towards resource-efficiency, redefining the way we think, produce and consume, thus creating a positive environmental footprint with its activities. Rather than just balanced, the three pillars of sustainability—economic, environmental and societal—need to be integrated with each other. FoodLoop saves it all!

Keywords: scaling,reduce food waste,supply chain optimization,save costs,additional revenue,innovativness of solution,reduce the environmental impact of perishable supply chains,sustainable,efficiency
BrainHack: Bringing the arts and sciences of brain and neural computer interface together (BrainHack)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: Estonia,Ireland,Italy,Czechia,Netherlands,Netherlands,Portugal
Call: FET Exchange Coordination and Support Activities 2015 (H2020-FETOPEN-2015-CSA, 2015)
Start date: 2016-01-01
End date: 2017-12-31
Duration (months): 24.0
Total project cost (EUR): 567352.5
EU funding (EUR): 549727.0
Participants: 7
Project status: CLOSED

We witness a rapid development of Brain/Neural Computer Interaction (BNCI) research including hyperscanning and collaborative BNCIs. Several recent BNCI community driven CSAs have addressed this topic (Future BNCI, BNCI Horizon 2020 ) with the BCI Society being in progress of establishing. At the same time, a growing community of international artists is exploring the boundaries of brain physiology based interaction in cinema, theatre and interactive installations. Artists address questions of BNCI ethics and aesthetics which are often overlooked by scientists but which spur general public discussion. Simultaneously we here the voices of BCI research community, especially young researchers, reasoning for collaboration with technologically oriented artists, which is not meeting proper response from institutions. Our project's objective is to organize the international artistic community experimenting with BNCI technologies and link it to the BNCI scientific community. We will center our activities around a series of enhanced hackathons with incubation support programme for young researchers. – Hackathons will be used as a platform to stimulate learning and exchange between artists, scientists and BNCI technology providers. The tangible outcomes of these workshops will be 1) new Spinal Projects of young creative with potential for further development; 2) wide media coverage of these events; 3) new application ideas and technological requirements for BNCI technology providers (e.g. open source software), 4) new scientific insights, and 5) ethical reflection on (artistic) applications of BNCI. Our project will bring the nascent artistic BNCI exploration to a new level of scientific and technological awareness, in turn raising public awareness of new neuroscientific tools and pushing the technology for exploring new applications inspired by artistic projections.

Keywords: brainhack brain hack art sciences bnci neural computer interface collaboration co creation hackathon ethics public engagement
The therapy app for more air and health (KATA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

IIncreasing industrialization in emerging countries, high levels of pollution and smoking is leading to a rise in chronic respiratory diseases (CRDs) worldwide. Even though CRDs are not curable, there are efficient treatments against them, mainly delivering medication into the lungs using inhalers. Unfortunately, 90% of the patients are not using correctly their inhalers, leading to chronic under-use of the prescribed medication and poor management of the disease. VisionHealth, founded in 2017, provides CRD patients with a unique therapy companion to efficiently manage CRDs – the Kata app. With Kata, dynamic training and personalized feedback for optimal use of any commercial inhaler is, for the first time, possible using a combination of advance technology: (1) Machine Vision (MV) using a SIFT algorithm to discern among inhalers and handling, (2) Voice Recognition (VR) recognizing the drug intake and predicting it with RNN architecture, (3) Machine Learning (ML) linking MV and VR inputs and creating models to predict users’patterns, and (4) Augmented Reality (AR) guiding the user in real time based on the ML input. Kata will empower its users to master the usage of their inhaler by Kata’s personalized digital assistance. Kata will ensure high medication compliance in each inhalation to improve patient’s quality of life and functional capacities. Customers of Kata, healthcare insurance companies (HiCs) and pharmaceutical companies, will be able to reduce costs associated with poor patient health outcome and low adherence to medication. Moreover, these companies will be able to redefine their policies moving towards a patient-centered healthcare using the data collected from Kata’s users. VisionHealth aims at stablishing their business strategies and technical roadmap to launch an advance app into the market that will improve CRD patient’s health and, in addition, will provide highly valuable data to optimize HiCs’ and pharmaceutical companies’ activities.

Keywords: free keywords asthma,copd,inhalation technique monitorisation,personalized training,voice recognition,machine vision,augmented reality
Synthesis and photopolymerisation of new fluorinated macromonomers for the obtaining of high performance fluoropolymers (PhotoFluo)

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: Chemistry
Countries involved: Italy,France,Canada
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-02-01
End date: 2020-01-31
Duration (months): 48.0
Total project cost (EUR): 238500.0
EU funding (EUR): 139500.0
Participants: 3
Project status: CLOSED

The PhotoFluo project consists in a consortium of three teams (two from Europe and one from Canada) committed to work for developing novel fluoropolymers suitable for optical and electronic devices, membranes for fuel cells and Li batteries, microfluidics, and biomaterials. This ambitious goal will be achieved starting from designing new perfluoropolyalkylether building blocks (PFPAE) improving safety (not bioaccumulative like perfluoroalkylics) and having chemical inertness, flexibility in a wide temperature range, very low refractive index and wettability. PFPAE will be chain extended to tune final properties; exploiting OH functionalities, these precursors will be functionalized to make telechelic macromonomers for suitable crosslinking (via both radical and ionic processes). The polymers will be synthesized by photoinduced polymerization, chosen as an efficient and eco-friendly process: the polymer formation is fast (no more than minutes compared to hours requested by thermal processes), is solvent free, is carried out at room temperature consuming low amount of energy, permits spatial resolution, as it mainly occurs in the illuminated areas. After obtaining an original portfolio of PFPAE polymers, they will be fully characterized and tested in view of innovate applications. The project is conducted by research groups with a relevant scientific record in the fields: (i) fluorochemistry (TWU, Canada), (ii) photopolymerization (iii) polymer science (POLITO, Italy and ENSCM, France). The combination of expertises makes the objective feasible. For the implementation of the program, 24 secondments are planned to exploit the complementarities of the different expertises of each groups, to share them and to reinforce young researchers career. The project includes a strong dissemination plan to report on the results, not only to the scientific community, but also to potential users and non-specialized audience.

Keywords: perfluoropolyalkylether,fluorinated monomers,fluoropolymers,photopolymerisation,polymer characterisation