Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Motionlab: Data driven SaaS platform that made the complex video-personalization accessible and easy (Motionlab)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Czechia
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Traditional marketing communication is losing its effectivity and companies search for new ways how to engage, win or retain their digital customers to generate better revenues and to optimize marketing costs. Personalized video as a marketing tool is a key. Motionlab is a unique complex cloud-based and GDPR compliant video platform for self-service creation of personalized videos 1. in high volume and 2. in individual mode. Our aim is to help digital and marketing agencies or productions to create better relationships with brands, to speak individually with their digital customers, to increase productivity and efficiency of sales, marketing or customer services, to improve end customer experience and to save money. Motionlab is designed for an independent use by customers on a fast-growing video advertising market, valued of US$52.0 billion by 2023. Motionlab opens the access to videopersonalization for every customer: even small video production agencies can have the powerful tool, no need to be dependent on expensive vendors or their limited solutions. With Software as a Service business model Motionlab can easily enter into new segments and markets. Our vision is to create the multilevel B2B2B business chain to support our expansion. The aim of this project that belongs to the TRL 6 is to develop marketing and deployment process and organization to support internationalization of Motionlab. The feasibility study is focused on assessment of “go-to-market” options, IPR & Regulatory Strategy validation and business plan update. Motionlab project aims at generating annual turnover of 46 million EUR by the end of 2022. The project is of strategic importance for growth and transformation of the company from an innovation-driven startup, to a market-oriented global player. The aim of the Phase 1 project is so to check the feasibility of scaling-up the Motionlab for a broad commercialization on the European and North American markets, e.g. by the EIC Accelerator funding

Keywords: video,video personalization,saas platform,video advertisement,digital marketing,digital communication,automatic rendering,high volume video production,digital transformation
varnish and sol-gel multifunctional ProtectIve cLear cOat for aeronauTics (PILOT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Belgium,France,France
Call: Functional top coat for natural laminar flow (H2020-CS2-CFP03-2016-01, 2016)
Start date: 2017-02-01
End date: 2019-11-30
Duration (months): 34.0
Total project cost (EUR): 791706.25
EU funding (EUR): 667896.25
Participants: 4
Project status: CLOSED

The project PILOT aims to develop two types of formulation technologies classes; a new UV hybrid varnish, which will combine the use of organic and silicone epoxy materials cured by the UV technology and a new hybrid solgel coating, where organic/silicone networks are reinforced by using colloidal particles of silica. Both technologies can be applied on a final paint scheme, but each of them has their particularities in terms of formulation, application and final properties. These differences will allow to cover a very large range of possibilities and will increase the chance of success of this project. The approach of the project is to get an efficient optically transparent multifunctional clear coat, which will able to protect the surface of the wings of business jet or HTP. While keeping the laminar flow, the technical solutions will have the capacity to: • Protect the substrate against contamination • Protect the substrate against icing formation • Resist to the erosion • Resist to the UV degradation • Dissipate the electrostatic charges • Be easily repaired To reach the target of the project, the consortium considers two different technologies, which have already shown their ability to match with Aerospatiale needs. For each approach, an existing solution has been selected. Several properties, according to the technical requirements, have been already tested. The project PILOT will fine tune them in order to fulfil the technical specifications. The project will start with a bibliographic study, whose objectives are to make a state of the art of the last updated technologies, a legislation survey, a screening of the commercial raw material in order to design the update formulations coatings. Then, based on the literature, the coatings will be formulated and applied on the required substrates, taking into account industrial constraints. Finally, coatings will be characterized to validate the required functionalities, defined in the topic.

Keywords: uv hybrid varnish,hybrid solgel,multifunctional,erosion,anti static,anti icing,spray gun,formulation
Lab Instrument for Cell Nano-Tomography (LICENT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ireland
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-08-01
End date: 2023-01-31
Duration (months): 30.0
Total project cost (EUR): 2159346.25
EU funding (EUR): 1511542.38
Participants: 1
Project status: SIGNED

Advances in drug discovery over the past twenty years have resulted in increased life expectancy and, ironically, have contributed to a 140% increase in EU healthcare costs, with patients suffering from diseases, such as cancer and dementia, now living longer. There is an ever-increasing need to understand disease causation and transmission mechanisms so these diseases can be prevented rather than just better-managed. Changes in a cell’s shape and in the shape of its internal organelle, are important influencers on the cell signalling mechanisms that underpin disease causation. For this reason, 3D imaging of the internal structure of whole, intact, cells is playing an increasingly important role in helping scientists to understand diseases. The only technology available today that can image through and measure the whole substructure of a cell, without needing to slice it or stain it, is soft x-ray microscopy (SXM). The problem is that the illumination required for a soft x-ray microscope is currently only available at four football-stadium sized facilities, called synchrotrons, and scientists have to queue for up to twelve months to get access to these. Despite this limitation, a small number of scientists have persisted with using the SXM technique and have made some very noteworthy breakthroughs in understanding disease causation and transmission. SiriusXT’s innovation has been to develop and patent a miniaturised soft x-ray source, allowing it to build the first commercial, lab-scale, microscope. This breakthrough idea is revolutionising the cell imaging market by opening up access for a proven imaging modality to a target niche market of 3,000 organisations. Project LICENT, aims to make a significant impact in helping reduce drug development and healthcare delivery costs. In so doing, it addresses specific objectives under the Horizon 2020 policy priority of ‘Societal Challenges’, which fall under the challenge of ‘Health, Demographic Change and Well Being’

Keywords: structural biology,cell imaging,microscopy,nano tomography,soft x ray,3d cell imaging,disease research,drug discovery,cancer research,whole cell imaging,coronavirus,covid 19,vaccine
Optimising Radiomics for MRI-based personalised cancer treatment (REACT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Netherlands
Call: European SME innovation Associate - pilot (H2020-INNOSUP-02-2016, 2016)
Start date: 2017-11-17
End date: 2018-11-16
Duration (months): 12.0
Total project cost (EUR): 147212.5
EU funding (EUR): 147212.5
Participants: 1
Project status: CLOSED

Although cancer survival rates have substantially improved in recent years, cancer is still among the leading causes of morbidity and mortality worldwide. The future of cancer treatment lies in early and better diagnosis and individually tailored treatments (‘personalised medicine). ptTheragnostic, a company dedicated to the development of more effective, individualised therapies for cancer patients, is working on a breakthrough solution, Radiomics, that is able to revolutionise personalised cancer treatment. Radiomics is a quantitative image analysis technology that enables patient stratification through the use of routinely acquired biomarkers. Being based on the evolution of hundreds of image-derived features over the course of treatment, Radiomics allows for more sensitive and robust identification of tumour types than currently possible. As MRI is recognised as one of the most promising techniques for the detection of cancer and spread of the disease, ptTheragnostic aims to align Radiomics with MRI. Despite the availability of a multi-disciplinary team at ptTheragnostic, they lack the required expertise and skills to implement Radiomics in the MRI market. Therefore, the goal of this project, REACT, is to hire a skilled associate with expertise in MRI and deep learning to establish this implementation. During the first 12 months, the associate will be responsible for managing the designed innovation track of Radiomics. This includes both technical and business tasks, amongst aligning the Radiomics software with MRI scanners and drafting a marketing strategy for Radiomics. The associate will follow various trainings in the oncology and business field. REACT may therefore open up new career possibilities in both the business and academic (oncology) field. In addition, REACT, will leverage the growth of ptTheragnostic by enabling Radiomics for MRI resulting in a significant increase in revenues (additional 50% in the first year) and increase in FTE (33%).

Keywords: deep learning,cancer,treatment,imaging
Effect size and power for neuroimaging. (Neuroimaging power)

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: Life Sciences
Countries involved: France,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-11-01
End date: 2019-10-31
Duration (months): 36.0
Total project cost (EUR): 264668.4
EU funding (EUR): 264668.4
Participants: 2
Project status: CLOSED

There is an increasing concern about statistical power in neuroscience research. Critically, an underpowered study has poor predictive power. Findings from a low-power study are unlikely to be reproducible, and thus a power analysis is a critical component of any paper. This project aims to promote and facilitate the use of power analyses. A key component of a power analysis is the specification of an effect size. However, in neuroimaging, there is no standardised way to communicate effect sizes, which makes the choice of an appropriate effect size a formidable task. The best way today to perform a power analysis is by collecting a pilot data set, a very expensive practice. To eliminate the need for pilot data, we will develop a standardised measure of effect size taking into account the spatial variance and the uncertainty of the measurements. Communicating effect sizes in new publications will facilitate the use of power analyses. To further alleviate the need for pilot data, we will provide a library of effect sizes for different tasks and contrasts, using open data projects in neuroimaging. We will integrate our effect size estimator in open repositories NeuroVault and OpenfMRI. Consequently, these effect sizes can then serve as a proxy for a pilot study, and as such, a huge cost in the design of an experiment is eliminated. A new experiment will not be identical to the open data and as such the hypothesised parameters might not be fully accurate. To address this issue, we present a flexible framework to analyse data mid-way without harming the control of the type I error rate. Such a procedure will allow re-evaluating halfway an experiment whether it is useful to continue a study, and how many more subjects are needed for statistically sound inferences. To make our methods maximally available, we will write a software suite including all these methods in different programming platforms and we will provide a GUI to further increase the use of power analyses.

Keywords: reproducibility,power,statistics,sensitivity,neuroimaging,fmri,sample size,effect size
Vapor deposition of crystalline porous solids (VAPORE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Belgium
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2016-12-01
End date: 2021-11-30
Duration (months): 60.0
Total project cost (EUR): 1787475.0
EU funding (EUR): 1787475.0
Participants: 1
Project status: CLOSED

Metal-organic frameworks (MOFs) are crystalline solids with highly regular pores in the nanometer range. The possibility to create a tailored nano-environment inside the MOF pores makes these materials high-potential candidates for integration with microelectronics, e.g. as sensor coatings, solid electrolytes, etc. However, current solvent-based methods for MOF film deposition, a key enabling step in device integration, are incompatible with microelectronics fabrication because of contamination and corrosion issues. VAPORE will open up the path to integrate MOFs in microelectronics by developing a solvent-free chemical vapor deposition (CVD) route for MOF films. MOF-CVD will be the first example of vapor-phase deposition of any type of microporous crystalline network solid and marks an important milestone in processing such materials. Development of the MOF-CVD technology platform will start from a proof-of-concept case and will be supported by the following pillars: (1) Insight in the process, (2) expansion of the materials scope and (3) fine-tuning process control. The potential of MOF-CVD coatings will be illustrated in proof-of-concept sensors. In summary, by growing porous crystalline films from the vapor phase for the first time, VAPORE implements molecular self-assembly as a scalable tool to fabricate highly controlled nanopores. In doing so, the project will enable cross-fertilization between the worlds of nanoscale chemistry and microelectronics, two previously incompatible fields.

Keywords: porous crystalline materials,microporous materials,metal organic frameworks,mofs,porous coordination polymers
Training Engineers and Researchers to Rethink geotechnical Engineering for a low carbon future (TERRE)

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: Information Science and Engineering
Countries involved: Italy,Italy,Italy,Spain,Germany,Switzerland,France,France,France,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2015-11-01
End date: 2019-10-31
Duration (months): 48.0
Total project cost (EUR): 3954721.86
EU funding (EUR): 3954721.86
Participants: 21
Project status: CLOSED

TERRE aims to develop novel geo-technologies to address the competitiveness challenge of the European construction industry in a low carbon agenda. It will be delivered through an inter-sectoral and intra-European coordinated PhD programme focused on carbon-efficient design of geotechnical infrastructure. Industry and Research in the construction sector have been investing significantly in recent years to produce innovative low-carbon technologies. However, little innovation has been created in the geo-infrastructure industry, which is lagging behind other construction industry sectors. TERRE aims to close this gap through a network-wide training programme carried out by a close collaboration of eleven Universities and Research Centres and three SMEs. It is structured to provide a balanced combination of fundamental and applied research and will eventually develop operational tools such as software for low-carbon geotechnical design and a Decision Support System for infrastructure project appraisal. The research fellows will be involved in inter-sectoral and intra-European projects via enrolment in 8 ‘Joint-Awards’ and 7 ‘Industrial’ PhDs. The research fellows will be trained in low-carbon design by developing novel design concepts including eco-reinforced geomaterials, ‘engineered’ vegetation, engineered soil-atmosphere interfaces, biofilms, shallow geothermal energy and soil carbon sequestration. Distinctive features of TERRE are the supervision by an inter-sectoral team and the orientation of the research towards technological applications. Training at the Network level includes the development of entrepreneurial skills via a special programme on ‘Pathways to Research Enterprise’ to support the research fellows in establishing and leading spin-out companies after the end of the project.

Keywords: carbon,engineers,environment,infrastructure,soil
Semiparametric Inference for Complex and Structural Models in Survival Analysis (COSMOS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Belgium,Belgium
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-08-31
Duration (months): 72.0
Total project cost (EUR): 2318750.0
EU funding (EUR): 2250000.0
Participants: 2
Project status: CLOSED

In survival analysis investigators are interested in modeling and analysing the time until an event happens. It often happens that the available data are right censored, which means that only a lower bound of the time of interest is observed. This feature complicates substantially the statistical analysis of this kind of data. The aim of this project is to solve a number of open problems related to time-to-event data, that would represent a major step forward in the area of survival analysis. The project has three objectives: [1] Cure models take into account that a certain fraction of the subjects under study will never experience the event of interest. Because of the complex nature of these models, many problems are still open and rigorous theory is rather scarce in this area. Our goal is to fill this gap, which will be a challenging but important task. [2] Copulas are nowadays widespread in many areas in statistics. However, they can contribute more substantially to resolving a number of the outstanding issues in survival analysis, such as in quantile regression and dependent censoring. Finding answers to these open questions, would open up new horizons for a wide variety of problems. [3] We wish to develop new methods for doing correct inference in some of the common models in survival analysis in the presence of endogeneity or measurement errors. The present methodology has serious shortcomings, and we would like to propose, develop and validate new methods, that would be a major breakthrough if successful. The above objectives will be achieved by using mostly semiparametric models. The development of mathematical properties under these models is often a challenging task, as complex tools from the theory on empirical processes and semiparametric efficiency are required. The project will therefore require an innovative combination of highly complex mathematical skills and cutting edge results from modern theory for semiparametric models.

Keywords: survival analysis,cure models,copulas,quantile regression,dependent censoring,measurement errors,endogeneity,asymptotic theory,semiparametric inference
NanoFabNet - International Hub for sustainable industrial-scale Nanofabrication (NanoFabNet)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Coordination and support actions
Countries involved: Germany,Germany,Germany,Austria,Italy,Poland,Norway,Belgium,Belgium,France,France,Czechia,United States,Luxembourg
Call: Sustainable Nano-Fabrication (CSA) (H2020-NMBP-TO-IND-CSA-2019, 2019)
Start date: 2020-03-01
End date: 2022-08-31
Duration (months): 30.0
Total project cost (EUR): 2258943.75
EU funding (EUR): 2220725.0
Participants: 15
Project status: CLOSED

NanoFabNet – International Network for sustainable industrial-scale Nanofabrication The NanoFabNet Project will create a strong international hub for sustainable nanofabrication, whose structure, business model and detailed strategies and action plans are designed, agreed and carried by its international stakeholders during the Project duration, in order to yield an (economically) self-sustaining collaboration platform: the NanoFabNet hub. The registered NanoFabNet membership organisation will provide an accountable, permanent secretariat to the hub; it will be responsible for the implementation of a long-term business plan, and the provision of validation services, trainings and consultations, while collaborative and cooperative activities between actors of the wider international nanofabrication community will be fostered within the open architecture of the hub, and may be supported by membership organisation, where necessary. The hub will stand for (a) a well-implemented, guided approach to high levels of safety and sustainability, (b) trusted technical reliability and quality, and (c) compliance with and drive of harmonisation, standardisation, and regulation requirements, amongst all of its members and along their nanofabrication value chains. It is envisaged to have a complex, open structure, whose elements will be developed, agreed and validated in a step-wise approach to meet the high-level objectives outlined below. The achievability of these aims to be a one-stop-shop for all matters and concerns pertaining to sustainable nanofabrication and its successful incorporation into the complex, large-scale high-value industries by bringing together governmental and academic laboratories with large industries and SMEs, and thereby offering a coordination space for past, current and future collaborative nanofabrication projects (incl. both EU-funded projects and initiatives, as well as public-to-public partnerships (P2Ps) and public-private-partnerships (PPPs)).

Keywords: nanofabrication network and comms,technology sustainability,eu project collaboration,international cooperation,technology confidence building,validation and exploitation,infrastructure and skills