Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MyPal: Fostering Palliative Care of Adults and Children with Cancer through Advanced Patient Reported Outcome Systems (MyPal)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Germany,Germany,Belgium,Greece,Sweden,Greece,Greece,Czechia,United Kingdom,United Kingdom,United Kingdom
Call: Novel patient-centred approaches for survivorship, palliation and/or end-of-life care (H2020-SC1-2018-Single-Stage-RTD, 2018)
Start date: 2019-01-01
End date: 2022-12-31
Duration (months): 48.0
Total project cost (EUR): 3999308.75
EU funding (EUR): 3999308.75
Participants: 18
Project status: SIGNED

MyPal aims to foster early palliative care for cancer patients by leveraging patient reported outcome (PRO) systems through their adaptation to the personal needs of the cancer patient and his/her caregiver(s). Through this intervention, MyPal aspires to empower cancer patients (and their family members) in capturing more accurately their conditions, communicate them with a seamless and effective way to their healthcare providers and, ultimately, foster the time for action through the rapid identification of important deviations in the patient’s state and QoL. Providing this information in a timely and comprehensive manner throughout the disease course will reinforce the potential for applying a patient-centred and integrated palliative care approach for cancer with the participation of all relevant healthcare providers (i.e. oncologists, specialized physicians, psychologists, nurses), which is necessary to cope with the specific disease. In order to accomplish its mission, MyPal will exploit technological advances on digital health to support patients, family members and healthcare providers in gaining value through this systematic and comprehensive PRO-based intervention. Overall, the foreseen advancement through MyPal reflects a paradigm shift from passive patient reporting based on conventional PRO approaches to active patient engagement and a closed-loop approach (bridging the gap between patient reporting and effective actions by healthcare providers to meet the varying patient needs) for coping with palliative care challenges in cancer. MyPal will demonstrate and validate the proposed intervention in two clinical studies, an RCT for adults with hematologic cancers and an observational study for children suffering from solid tumors and hematologic malignancies, hence targeting different age groups and cancer types. The clinical studies will be conducted in diverse healthcare settings in 6 clinical sites from 5 European countries.

Keywords: digital health,patient reported outcome systems,early palliative care,patient empowerment in care,cancer,solid tumors,haematologic malignancies,satisfaction with care,clinical studies
Water Innovation through Dissemination Exploitation of Smart Technologies (WIDEST)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Coordination and support actions
Countries involved: Spain,Spain,Belgium,France,United Kingdom,United Kingdom
Call: Dissemination and exploitation, ICT, knowledge, gaps, research needs, etc (H2020-WATER-2014-one-stage, 2014)
Start date: 2015-02-01
End date: 2017-01-31
Duration (months): 24.0
Total project cost (EUR): 1022030.0
EU funding (EUR): 1022030.0
Participants: 7
Project status: CLOSED

The role of ICT in contributing to the “Smart Technologies EIP Priority” is widely recognised by the scientific community and water business professionals. Despite relevant progress and innovation achieved in this field, several barriers hinder the implementation of Smart Water Technologies such as the fragmentation of the sector, slow adoption, absence of SME development, and no holistic vision of water supply considering its whole life cycle. Moreover, at present a fully integrated Smart Water Network does not exist in Europe or globally. Hence, current lack of knowledge of EU water research and innovation results on industry, policy makers, and citizens is slowing down the widespread application of solutions that can leverage the development of the urban systems and infrastructures of tomorrow. This scenario shows that achieving water-related challenges cannot progress with the sole contribution of research. In this sense, the project has the vision of establishing and supporting a thriving, interconnected ICT for water community to promote the dissemination and exploitation of EU funded activities and results in this area. WIDEST will address its goals through a project-to-project approach and the coordination among relevant stakeholders by means of five objectives that will include, amongst others: Conducting literature reviews of relevant academic and commercial references; Establishing common frameworks such as standards, guidelines, website, video channel; Organizing events including conferences, workshops, special sessions; Producing three Topical Roadmaps and one Overall Roadmap; Producing a Portfolio of effective ICT for water management technologies including the methodology to build, update and execute it. The project is backed by a strong consortium composed by institutions with proven track record and expertise across different facets of ICT for water research, including established connections with key stakeholders.

Keywords: water market and observatory,ict for water technology portfolio,semantic interoperability and ontologies roadmap,smart city connection roadmap,smart water grids roadmap,water eip
Randomness and learning in networks (RandNET)

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: Mathematics
Countries involved: Austria,Spain,France,France,Czechia,Netherlands,United States,United Kingdom,Canada,Chile,Brazil
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2020, 2020)
Start date: 2021-01-01
End date: 2026-04-30
Duration (months): 64.0
Total project cost (EUR): 846400.0
EU funding (EUR): 662400.0
Participants: 15
Project status: SIGNED

Large Networks is one of the key notions in contemporary science and technology. The availability of massive amounts of data and interaction between individuals of large populations of any kind, whether biological, social or computer units, places network analysis at the forefront of current scientific challenges. The mathematical foundations of large networks have now become the focus of research in the later decades from diverse perspectives. The project RandNET brings together leading researchers worldwide from the areas of combinatorics, probability theory, computer science and statistics with the aim of blending approaches from these areas in the rigorous mathematical foundations for analysing random networks. The whole project is driven by real applications in data science and learning on large networks. This is planned through an alliance between academic and industrial partners. A second goal of the project is to establish a wide platform of knowledge dissemination on the topic of randomness and learning in networks for use of specialists from all scientific disciplines.

Keywords: networks random graphs machine learning combinatorics algorithms
Metric measure spaces and Ricci curvature — analytic, geometric, and probabilistic challenges (RicciBounds)

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: Germany
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-11-30
Duration (months): 75.0
Total project cost (EUR): 2430000.0
EU funding (EUR): 2430000.0
Participants: 1
Project status: CLOSED

The project is devoted to innovative directions of research on metric measure spaces (‚mm-spaces’) and synthetic bounds for the Ricci curvature. It aims to bring together two - currently unrelated - areas of mathematics which both have seen an impressive development in the last decade: i) the study of ,static‘ mm-spaces with synthetic Ricci bounds and ii) the study of Ricci flows for ,smooth‘ Riemannian manifolds. A new ansatz - based on the concept of dynamical convexity - will enable to merge these two cutting-edge developments and will lead to the very first approach to Ricci flows on singular spaces. The project also aims to break up the limitations for the study of (generalized) Ricci curvature for mm-spaces, until now being restricted exclusively to spaces with uniform lower bounds for this curvature. For the first time ever, mm-spaces with (signed) measure-valued lower bounds for the Ricci curvature will be studied - the absolutely continuous, non-constant case being highly innovative as well. Besides Ricci bounds also Ricci tensors will be defined and utilized for novel insights and sharp estimates. Furthermore, the project aims to initiate the development of stochastic calculus on mm-spaces and, in particular, to provide pathwise insights into the effect of (singular) Ricci curvature. The focus will be on pathwise optimal coupling, stochastic parallel transport, and derivative formulas. Both the static and the dynamic case are of interest. Methods from optimal transport and from stochastic calculus will be combined to push forward the analysis on path and loop spaces. Each of these aims is important and worth in its own. Only in combination, however, they produce the dynamics, synergy effects, and cross-fertilization requested for maximum success. The anticipated breakthroughs of the project depend on exceeding classical borders of mathematical disciplines and on merging together topical developments from different fields.

Keywords: metric measure space,ricci bounds,optimal transport,bakry emery,ricci flow,heat flow,displacement convexity,coupling,brownian motion
Flexible Hybrid separation system for H2 recovery from NG Grids (HyGrid)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Research and Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Spain,Italy,Switzerland,Netherlands,Netherlands
Call: Development of technology to separate hydrogen from low-concentration hydrogen streams (H2020-JTI-FCH-2015-1, 2015)
Start date: 2016-05-01
End date: 2021-08-31
Duration (months): 64.0
Total project cost (EUR): 3167710.0
EU funding (EUR): 2527710.0
Participants: 9
Project status: CLOSED

The key objective of the HyGrid project is the design, scale-up and demonstration at industrially relevant conditions a novel membrane based hybrid technology for the direct separation of hydrogen from natural gas grids. The focus of the project will be on the hydrogen separation through a combination of membranes, electrochemical separation and temperature swing adsorption to be able to decrease the total cost of hydrogen recovery. The project targets a pure hydrogen separation system with power and cost of < 5 kWh/kgH2 and < 1.5 €/kgH2. A pilot designed for 25 kg/day of hydrogen will be built and tested. To achieve this, HyGrid aims at developing novel hybrid system integrating three technologies for hydrogen purification integrated in a way that enhances the strengths of each of them: Membrane separation technology is employed for removing H2 from the “low H2 content” (e.g. 2-10 %) followed by electrochemical hydrogen separation (EHP ) optimal for the “very low H2 content” (e.g. <2 %) and finally temperature swing adsorption (TSA) technology to purify from humidity produced in both systems upstream. The objective is to give a robust proof of concept and validation of the new technology (TRL 5) by designing, building, operating and validating a prototype system tested at industrial relevant conditions for a continuous and transient loads. To keep the high NG grid storage capacity for H2, the separation system will target the highest hydrogen recovery. The project will describe and evaluate the system performance for the different pressure ranges within 0.03 to 80 bar (distribution to transmission) and test the concept at pilot scale in the 6-10 bar range. HyGrid will evaluate hydrogen quality production according to ISO 14687 in line not only with fuel cell vehicles (Type I Grade D) but also stationary applications (Type I Grade A) and hydrogen fueled ICE (Type I grade E category 3). A complete energy and cost analysis will be carried out in detail.

Keywords: hybrid separation,membrane separation,electrochemical separation,prototype
Solar Sailing for Space Situational Awareness In the Lunar System (S4ILS)

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: Information Science and Engineering
Countries involved: Netherlands,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-08
End date: 2018-02-07
Duration (months): 30.0
Total project cost (EUR): 202897.2
EU funding (EUR): 202897.2
Participants: 2
Project status: CLOSED

Solar Sailing for Space Situational Awareness In the Lunar System (S4ILS) will deliver radically new orbits in space by exploiting the potential of solar sailing, an exciting new type of spacecraft propulsion. As a flight-proven technology, a solar sail spacecraft rides on sunlight the way that sailboats ride on the wind. Its renewable attribute makes solar sailing a truly mission enabling technology, which is exploited by S4ILS to further one of Europe’s key space priorities, Space Situational Awareness (SSA): the new orbits will improve our ability to keep ground and space assets safe from natural cosmic hazards (e.g. space weather) and man-made threats from space (debris). S4ILS offers novelty of research and solutions to global challenges, as well as excellent training of the Experienced Researcher (ER) by a world-leading astrodynamics institute at the University of Colorado, USA, and by one of Europe’s top universities of technology, TU Delft, the Netherlands. The entire team of renowned experts in astrodynamics, low-thrust space mission design and SSA built around the ER enables a unique fusion of knowledge and a pool of resources, creating the best environment for the ER to fully develop her potential. The fundamentally new orbital dynamics that S4ILS will deliver combined with the compelling application of SSA, that impacts industries far beyond the aerospace sector, will put solar sailing firmly on the European space agenda and will underpin the need for further European solar sail technology development. Influencing decision makers is ensured by collaborating with the American space agency (NASA) and through a secondment at the European Space Agency. These opportunities expose the ER to a vast international network, crucial for starting an independent research career. In summary, the Fellowship allows the ER to emerge as a leader in game-changing developments in space technology and applications and provides a platform for a successful academic career.

Keywords: astrodynamics,orbital dynamics,space mission analysis and design,solar sailing,space propulsion,space situational awareness
Hybrid AIRcraft seating requirement specification and Design (HAIRD)

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: Spain
Call: Hybrid Aircraft Seating Requirement Specification and Design - HAIRD (H2020-CS2-CFP03-2016-01, 2016)
Start date: 2017-01-01
End date: 2017-12-31
Duration (months): 12.0
Total project cost (EUR): 207362.5
EU funding (EUR): 207362.5
Participants: 1
Project status: CLOSED

HAIRD project aims to deliver a new design for a next generation aircraft seating which is comfortable,light-weight, fast to disassemble, easy to dismantle, cost efficient to produce, highly recyclable and reliable in structural integrity. Within the HAIRD project a new mono-materials cushions will be developed to improve the easy-recyclability and the cost production. Topological and geometrical optimization techniques will be applied by means of computational tools to ensure weight reduction without compromising the structural reliability. This approach will be used in both structure and cushions combined by selection of very light-materials in the market. A new mechanical system also will be designed allowing fast assembly, dismantling and disassembly of the seat into the aircraft, shortening the maintenance cost and workforce. Finally an assessment of seating Life-cycle will be done to guarantee the new design improvement in terms of sustainability. The direct impact is expected in terms of sustainability, economical viability, novel attractive, cost reduction in maintenance and material, fuel consumption and CO2 emissions.

Keywords: aircraft seating design,respirability,fast dismantling,low weight design
Constructing Healthcare Environments through Responsible Research Innovation and Entrepreneurship Strategies (CHERRIES)

Framework: Horizon 2020 — Science with and for Society
Programme: Integrate society in science and innovation issues, policies and activities in order to integrate citizens' interests and values and to increase the quality, relevance, social acceptability and sustainability of research and innovation outcomes in various fields of activity from social innovation to areas such as biotechnology and nanotechnology
Action type: Coordination and support actions
Countries involved: Spain,Italy,Austria,Cyprus,Sweden,Belgium,Netherlands
Call: Supporting the development of territorial Responsible Research and Innovation (H2020-SwafS-2019-1, 2019)
Start date: 2020-01-01
End date: 2023-02-28
Duration (months): 38.0
Total project cost (EUR): 1997375.0
EU funding (EUR): 1997375.0
Participants: 12
Project status: CLOSED

The CHERRIES consortium, consisting of 12 renowned and EU-FP experienced universities, research organisations, SMEs, CSOs, healthcare organisations incl. a private hospital, business and innovation centres and regional authorities from seven European countries. The CHERRIES model will support healthcare research and innovation policy and pilot actions by interlinking RRI, demand-side policy and territorial innovation models incl. smart specialisation. This pilot innovation process will be implemented and tested in the territories of Murcia (ES), Örebro (SW) and the Republic of Cyprus (CY). Subsequently, three additional Mirror territories will be supported in adopting the CHERRIES model. The model applies RRI methods in the innovation process, not only contributing to more innovative territorial environments but also to more suitable single innovations that therefore have a higher chance of being widely adopted and establish them successfully on the market. With this innovative design processes, the project contributes to more open, transparent and democratic R&I systems in the engaged territories and beyond, creating societal, democratic, environmental, economic and scientific impacts as well as tackling transformation processes of the organisations involved.

Keywords: healthcare,demand,governance,regional developmnet,co creation,policy mix
Biomarker discovery by AI-guided, image based single-cell isolation proteomics (Visual Proteomics)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: CLOSED

Early detection of severe malignancies such as cancer is the most effective way to increase patient survival, but early diagnosis and prediction of treatment outcome critically depend on disease-specific biomarkers. However, molecular and cellular disease heterogeneity provide a ubiquitous and unresolved challenge to this important task, and therefore impede any attempt to develop personalized therapies. Past and current approaches provide “averaged” descriptions of the tumor composition and have shown very limited success to identify biomarkers. This is likely due to the failure of these methods to identify the critical disease promoting cell populations within the tumor. Therefore, I will develop a new workflow that exploits automated microscopic image acquisition and artificial-intelligence-guided image analysis to identify specific cell populations in patient samples. These cells are then individually isolated by laser microdissection, followed by high-sensitivity proteome profiling, to identify proteins that define the identity of individual cells in a given tumor and thus represent the most promising biomarker candidates. To apply my approach to wide array of diseases, I will optimize it for archival biobank tissues (FFPE), the most common form of solid tissues in pathology. Applied to FFPE samples, my approach will allow me to perform both prospective and retrospective studies, correlate disease state and tissue morphology to protein expression and clinical outcome, and map tumor heterogeneity with unprecedented resolution. To achieve this, I will receive world-class training in cutting-edge microscopy and machine learning techniques in my host laboratory, which I complement with my expertise in high-sensitivity proteomics. My new pipeline will offer a highly fertile ground for new biomarker discoveries, inspire and stimulate collaborative research within and outside the host institute and allow me to establish a highly competitive niche for my future career.

Keywords: automated laser microdissection,image based single cell isolation,cancer tissue proteomics,high content microscopy