Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Analysis, modelling and sensing of both physiological and environmental factors for the customized and predictive self-management of Asthma (myAirCoach)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Germany,Belgium,Greece,Greece,Sweden,Sweden,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Self management of health and disease: citizen engagement and mHealth (H2020-PHC-2014-single-stage, 2014)
Start date: 2015-01-01
End date: 2018-06-30
Duration (months): 42.0
Total project cost (EUR): 4581378.0
EU funding (EUR): 4581378.0
Participants: 13
Project status: CLOSED

myAirCoach aims to develop a holistic mHealth personalised asthma monitoring system empowering patients to manage their own health by providing user friendly tools to increase the awareness of their clinical state and effectiveness of medical treatment. This will be achieved through a multi-disciplinary approach aiming at the development of an ergonomic, compact and efficient sensor-based inhaler that will be in continuous communication with a mobile device. This sensing infrastructure will have the capability of automated monitoring of several clinical, behavioural and environmental factors in realistic conditions. A pipeline of advanced analysis, processing and computational modelling techniques, dealing with raw measurements, extracted features, indicators, and personal profile data representation will ensure clinical state awareness and a timely optimal treatment. Besides, a "personal mHealth guidance system" will empower patients to customize their treatment towards personalised preset goals and guidelines, either automatically or driven by healthcare professional in a telemedicine manner. In this context, myAirCoach will give to clinicians early indications of increasing symptoms or exacerbations, while making an important contribution in successfully self-management of asthma. The myAirCoach framework will be quantified and evaluated in two test campaigns with carefully designed cohorts of patients in three testing sites. Besides the obvious necessity of the test campaigns to ground the myAirCoach patient models and framework with data, the objective formal validation of the results is expected to lead to increased confidence in the myAirCoach approach and in ICT decision support and self-management systems in general. The impact of such a holistic and innovative approach is huge and the foundations laid here are expected to result in a widespread adoption of sensor-based self-management systems not only in asthma, but also in other respiratory diseases.

Keywords: mhealth,asthma,self management,patient model,self care treatment,personalised treatment,lung modelling
Promoting gender balance and inclusion in research, innovation and training (PLOTINA)

Framework: Horizon 2020 — Science with and for Society
Programme: Promote gender equality in particular by supporting structural change in the organisation of research institutions and in the content and design of research activities
Action type: Coordination and support actions
Countries involved: Italy,Spain,Austria,Türkiye,Slovenia,Belgium,United Kingdom,Portugal
Call: Support to research organisations to implement gender equality plans (H2020-GERI-2014-1, 2014)
Start date: 2016-02-01
End date: 2020-01-31
Duration (months): 48.0
Total project cost (EUR): 2296187.5
EU funding (EUR): 2296187.5
Participants: 15
Project status: CLOSED

The overall objective of PLOTINA is to enable the development, implementation and assessment of self-tailored Gender Equality Plans (GEPs) with innovative and sustainable strategies for the Research Performing Organizations (RPOs) involved. This objective will be achieved by: i) Stimulating a gender-aware culture change; ii) Promoting career-development of both female and male researchers to prevent the waste of talent, particularly for women; iii) Ensuring diversification of views and methodologies (in this case by taking into account the gender/sex dimension and analysis) in research and teaching. PLOTINA is a partnership of RPOs, Professional Associations and Partners with specific expertise in monitoring the progress of the project and in the dissemination. The consortium represents the diversity of European RPOs as well as the diversity of European social and cultural environments. The workplan will proceed in four overall stages: i) Assess the current situation in all Partner RPOs; ii) Design GEPs for each RPO, iii) Design, implement and evaluate Actions in the Partner RPOs to address the targets of the GEPs, iv) Create a platform of resources that can be used by RPOs across Europe to implement their own GEPs suited to their own situations. The GEPs Actions will support systemic and sustainable changes at the institutional and departmental of the PLOTINA’s RPOs. The end results will be a set of modular and adaptable resources for other RPOs at the starting stage in the setting up of GEPs, in particular: Tools, GEPs Library of Actions, research and teaching Case Studies and Good Practices. Strongly aligned with a European Research Area (ERA) objectives on gender equality, PLOTINA will contribute to increase the number of female researcher, promote their careers and integrate of the gender dimension into the design, evaluation and implementation of research, to enhance its quality and relevance foster excellence and the social value of innovations.

Keywords: gender equality plans,research performing organisations,gender aware culture,research and teaching,tools and good practices,stem
Adaptative laboratory experiment at industrial scale (BREEDER)

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: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

As the worldwide population expands and nonrenewable resources are increasingly depleted, it is critical to develop renewable sources of goods from plentiful feedstocks. Microorganisms are a key to solving this challenge, as they can be used to manufacture a diverse array of chemicals, pharmaceuticals, fuels, food or feed ingredients. Research and development must reduce the costs and time required to move products to market. From improving microbial strains to optimizing scalable processes for fermentation and product recovery, this effort typically takes 10–20 years and $ 70–150 million. Enabling technologies are required to bring R&D time and costs to values that are consistent with industrial and financial expectations, so that sustainable fermentation processes can contribute taking up global challenges. Due to limited knowledge of complicated cellular networks, adaptive laboratory evolution has played critical roles in strain improvement. This approach harnesses natural evolution in the laboratory via iterative cycles of diversity generation and functional selection or screening to isolate evolved mutants with desirable phenotypes. Altar’s technology automates this approach through the implementation of proprietary methods for ensuring controlled selective pressure and contamination-free operation while iterating selection cycles. The innovation will bring digitalization, modularity, versatility and novel selection features, hereby enabling for scale-up while addressing wider application field. Moreover, the development of a cloud evolution platform will enable Altar to bring a flexible and affordable solution to the market. The project will generate new R&D services in the field of strain development based on a unique technology for directed evolution of microorganisms. These services will significantly reduce time and money spent in R&D for achieving microorganism strains with required performance to reach economic relevance in industrial context.

Keywords: adaptive laboratory evolution,directed evolution,fermentation,strain development
Platform for label-free quantitative detection of single proteins and extracellular vesicles (IBIS)

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: Spain
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-09-01
End date: 2019-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The main objective of the IBIS project is to develop an ultrasensitive, compact and low cost platform for the label-free quantitative detection of single proteins, and specifically the characterisation of nanometric extracellular vesicles. We will develop a prototype to transfer our novel detection scheme from the laboratory to the clinical environment and, based on user-feedback, develop a commercialization plan. In the fight against cancer and neurodegenerative diseases, exosomes are being perceived as potential biomarkers that can be sampled non-invasively. Reliable quantitative detection and analysis is needed to exploit the full potential of exosomes in diagnostics and therapy. The proposed innovation comprises a novel all optical approach: In-line Balanced Interference Scattering (IBIS). The balanced detection is implemented by a tailor-made attenuation mask into the back-focal-plane of a microscope, allowing the detection of particles as small as 15 kDa. The IBIS signal is directly proportional to the particle volume and can hence be used to quantify size distributions of nanoparticles reliably. IBIS microscopy only requires low-cost consumer grade detectors and an extremely simple optical setup. Specific goals of this proposed PoC project are: (i) Simplification of the current laboratory implementation to improve robustness and further reduce the cost, (ii) Careful characterisation of extracellular vesicle signals and binding behaviour under laboratory conditions, (iii) Construction of a compact benchtop prototype and implementation under clinical conditions, (iv) Feedback guided optimisation of the prototype by comparing laboratory (high sensitivity, specialist) and clinical (reduced sensitivity, non-specialist) results, (v) Design-optimisation of commercial implementations based on market research from clinical settings and national healthcare buyers. Definition of IP and market positioning and strategy.

Keywords: label free detection,exosomes,single proteins,interference scattering,extracellular vesicles,particle tracking,biosensing platform,ibis microscopy,phase locked interference detection,benchtop
Towards chemical accuracy in computational materials science (CC4SOL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Austria,Germany
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-07-01
End date: 2023-06-30
Duration (months): 72.0
Total project cost (EUR): 1460826.0
EU funding (EUR): 1460826.0
Participants: 2
Project status: SIGNED

This project aims at the development of a novel toolbox of ab-initio methods that approximate the true many-electron wavefunction using systematically improvable perturbation and coupled-cluster theories. The demand and prospects for these methods are excellent given that the highly-accurate coupled-cluster theories can predict atomization- and reaction energies in a wide range of solids and molecules with chemical accuracy (≈43 meV). However, the computational cost involved inhibits their widespread use in the field of materials science so far. A multitude of suggested developments in the present proposal hold the promise to reduce the computational cost beyond what is currently considered possible by the community. These include explicit correlation methods that augment the conventional wavefunction expansion with terms that depend on the electron pair correlation factors. In contrast to the widely-used homogeneous correlation factors, this proposal aims at the investigation of inhomogeneous correlation factors that can also capture van der Waals interactions. Furthermore this proposal seeks to employ a recently developed combination of atom-centered basis functions and plane wave basis sets, maximizing the compactness in the wavefunction expansion. The combination of these ideas bears the potential to reduce the computational cost of coupled-cluster calculations in solids by three orders of magnitude, leading to a breakthrough in the field of highly-accurate ab-initio simulations. As such the study of challenging solid state physics and chemistry problems forms an important part of this proposal. We seek to investigate molecular adsorption and reactions in zeolites and on surfaces, pressure-driven solid-solid phase transitions of two dimensional layered materials and defects in solids. These problems are paradigmatic for van der Waals interactions and strong correlation, and methods that describe their electronic structure accurately are highly sought after.

Keywords: first principles simulation,many electron theories,ab initio,quantum chemistry,coupled cluster theory
Dissecting the epigenetic control of totipotency. (TOTIPOTENCY2014)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2017-12-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

One of the most critical epigenetic and chromatin remodelling processes in mammalian development occurs shortly after fertilization restoring totipotency. Due to limited cell numbers and lack of experimentally tractable systems, the mechanisms and regulation of this developmental stage are poorly understood. This proposal will provide important mechanistic insights into the epigenetic control of early embryonic gene expression, and its relevance to somatic reprogramming. Murine embryonic stem cells (ESCs) contain a rare sub-population of early embryonic like (EEL) cells expressing genes normally restricted to the pre-implantation embryo, with enhanced extra-embryonic differentiation capability. Firstly, using novel single-cell technologies, I will characterize the EEL cells in detail, validating them as an in vitro model of pre-implantation development. On-going research in the host lab that I am involved in has identified an epigenetic enhancer that expands this EEL sub-population. Through bioinformatic analysis of pre-implantation transcriptome data, I have shortlisted 34 epigenetic and chromatin-associated proteins, including the previously identified factor, which will be systematically screened to identify new enhancers of totipotency. Validated EEL regulators, including two additional newly confirmed factors, will be analysed mechanistically determining their interaction partners, interdependencies, and mode of action. Finally, the contribution of the totipotency regulators towards the efficiency and fidelity of somatic reprogramming will be determined, potentially improving the use of this technology for personalised gene therapy and regenerative medicine. This state-of-the-art proposal uses innovative and novel cutting-edge technologies and combines the expertise of the researcher and the host. It has the potential for significant impact across several fields from epigenetics and stem cell biology to reprogramming and regenerative medicine.

Keywords: totipotency,chromatin biology,imaging,induced pluripotent stem cells,somatic reprogramming
Automatic collection and processing of voice data from air-traffic communications (ATCO2)

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: Germany,Italy,Switzerland,Switzerland,France,Czechia,Czechia
Call: Automated data collection and semi-supervised processing framework for deep learning (H2020-CS2-CFP09-2018-02, 2018)
Start date: 2019-11-01
End date: 2022-02-28
Duration (months): 28.0
Total project cost (EUR): 834003.75
EU funding (EUR): 799241.25
Participants: 7
Project status: CLOSED

ATCO2 will deliver a platform to collect, store, process and share voice communications from real world air-traffic control data, exploiting deep learning methods. The planned machine learning solutions are enabling technologies for air-traffic control. To achieve robust and high speech recognition performance, large amount of data will be collected. The project aims at accessing data from certified ADS-B datalinks aligned with a surveillance technology, and directly from air-traffic controllers supplied by air navigation service providers. Centered on a robust platform, the project will build on an existing and extensively used solution of ‘OpenSky network’ partner, ensuring its long term sustainability. Current platform collects and stores periodically broadcasted aircraft information through a network of ADS-B receivers. It will be extended to allow collection, storage and pre-processing of voice communications, and time/position aligned with other aircraft information. The project targets both spoken commands issued by air-traffic controllers and readback confirmations provided by pilots. In addition to broadcasted data, ATCO2 will have access to voice recordings from air navigation service providers (e.g. Austrocontrol). Besides automatic segmentation (e.g. speaker, accent, specific command), robust automatic speech recognition will be implemented and integrated to automatically transcribe voice communications. It will use active learning scenarios capable of iterative improvements, in addition to manual post-editing. To comply with the CleanSky2 Programme, the project will also significantly contribute to community building, consolidating an existing community of ‘OpenSky network’. Project incentives will motivate users to upload and potentially pre-transcribe data to gain access to other resources and automatic transcripts. The project will strongly account for legal and ethical issues regarding privacy, personal data, data security and other related aspect

Keywords: air traffic management,automatic speech recognition,signal processing,legal and ethical framework
Solute Isotope Fractionation during Fluid Transit (SIFFT)

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: Environment and Geosciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-02-01
End date: 2023-01-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

The chemical dissolution (weathering) of continental silicate rocks is a crucial Earth System process that makes nutrients available to ecosystems and consumes atmospheric CO2, affecting Earth’s climate and habitability. The mechanistic controls on chemical weathering are still poorly understood, partly due to lack of integration between geochemical and hydrological concepts. Here, I propose to test a key hypothesis that silicate weathering fluxes are primarily controlled by how long water spends in contact with rocks, before being exported via rivers. To do this, I will use novel tracers of chemical silicate weathering - the stable isotope ratios of dissolved silicon (δ30Si) and lithium (δ7Li) in a project that couples controlled lab weathering experiments with a watershed-scale field study. I will use column flow-through and batch reactor experiments to simulate in isolation the effect of variable water-rock interaction times on dissolved δ30Si and δ7Li. I will then compare these results with natural weathering observed in a study watershed, recording the response of riverine δ30Si and δ7Li to variable hydrological conditions. The water transit time variations in the watershed will be constrained using water hydrogen and oxygen isotope ratios (δD, δ18O, 3H). Finally, I will synthesize the experimental and field results to build a novel reactive transport framework that will incorporate a robust representation of hydrological variability in determining weathering fluxes and isotopic riverine signatures. The results of this project will have important implications for our understanding of the links between climate and chemical weathering. In turn, this will enable a better prediction how nutrient and carbon cycles, driven by weathering, will respond to anthropogenic perturbation of atmospheric composition, the hydrological cycle, and natural ecosystems, which is a major European and global environmental research priority.

Keywords: weathering,river,catchment,watershed,water transit,reactive transport,silicate rock,silicon,lithium,isotope ratios