Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
AN INTERDISCIPLINARY APPROACH FOR THE MANAGEMENT OF THE ELDERLY MULTIMORBID PATIENT WITH BREAST CANCER THERAPY INDUCED CARDIAC TOXICITY (CARDIOCARE)

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: Italy,Cyprus,Greece,Greece,Sweden,Slovenia,Greece,France,Netherlands
Call: Healthcare interventions for the management of the elderly multimorbid patient (H2020-SC1-2020-Two-Stage-RTD, 2020)
Start date: 2021-07-01
End date: 2025-06-30
Duration (months): 48.0
Total project cost (EUR): 5996631.25
EU funding (EUR): 5996631.25
Participants: 12
Project status: SIGNED

More than 50% of the newly diagnosed breast cancer patients are elderly and particularly susceptible to cardiotoxicity of cancer treatment due to age-related factors and prevalence of multiple co-morbidities. The cumulative effect of risk factors in the elderly patient resembles a “snowball effect”, where baseline age and cancer-related changes are exacerbated by direct therapy-induced cardiotoxicity, resulting to a multi-morbid state and mortality. Frailty and high risk of cardiotoxicity in this group may lead to inappropriate interventions and undertreatment, resulting in poorer outcomes, deterioration of QoL and increased healthcare costs. Considering, that older cancer patients are underrepresented in trials, new interdisciplinary and patient-oriented studies able to provide clinical guidelines and best practices for delivering quality care are needed. CARDIOCARE will contribute to scale up a better management for the multimorbid elderly breast cancer patients. Innovative eHealth applications, coupled with sensors and wearables, will permit a consistent evaluation of the intrinsic capacity and by combining clinical and biological features, will provide a holistic approach to the management of cancer and his co-morbidities in the elderly population. This will allow the development of quality indicators for effective care pathways and allow a more informed approach to breast cancer patients with multimorbidity, training and education of caregivers and stakeholders to boost effectively elderly breast cancer patients along disease trajectory and cardiotoxicity. eHealth applications will increase the involvement and participation of the patients in their care process and self-management improving adherence to their individualized care plan, and a better psychological adaptation to their disease. Overall, the implementation of a comprehensive model for effective risk stratification will positively impact on QoL, adverse events, hospitalizations, and healthcare.

Keywords: breast cancer,cancer therapy induced cardiotoxicity,multimorbidity in the elderly,intrinsic,capacity,stratification,cardiotoxicity biomarkers,quality of care
Pollination ecology: how do bees move across the landscape and fashion plant reproduction? (BEE-MOVE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 1998856.0
EU funding (EUR): 1998856.0
Participants: 1
Project status: SIGNED

How pollinators, such as bees, exploit plaHow pollinators, such as bees, exploit plant resources is a fundamental question in biology, with deep ecological, economical and societal consequences. When foraging on flowers, pollinators transfer pollen and mediate the reproduction of plants on which most animals (including us humans) rely on. Understanding the spatial foraging strategies and interactions of pollinators across the landscape is thus a critical scientific challenge to discover their influence on plant mating patterns and pollination efficiency. BEE-MOVE will use an interdisciplinary approach to mechanistically link pollinator movements to pollination efficiency at field scales, thereby crossing boundaries between research on pollinator behaviour and plant ecology. I will focus on two key pollinators worldwide: the buff-tailed bumblebee and the Western honey bee. 1) I will develop a new radar system to record and analyse the individual 3D movements of hundreds of bees foraging simultaneously. 2) I will use arrays of communicating radars and robotic plants to study how bees search and exploit food resources in field setups of several square kilometres, by manipulating key environmental factors such as the density of bees, the 3D distribution of plants, and the nutritional content of nectars and pollens. 3) From these observations, I will build computational agent-based models to investigate the influence of bee spatial strategies on pollination efficiency. Critical experiments will test model predictions in populations of natural plants. The dialogue between observations and simulations will create a positive feedback towards a robust, multi-level understanding of plant-pollinator interactions at the scale of landscapes. In addition to exploring entirely new grounds in pollination ecology, my results could be used to design practical interventions for conservation, sustainable agriculture and green development in the worrying context of pollinator declines.

Keywords: bumblebee,honey bee,behaviour,cognition,foraging,nutrition,movement ecology,computational modeling,pollination,radar,artificial flowers
Practical design of closed-loop DBS algorithms using systematic in silico verification (SilVerDBS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 184590.72
EU funding (EUR): 184590.72
Participants: 1
Project status: SIGNED

Closed-loop deep brain stimulation is a promising new treatment for several neurological disorders, including Parkinson's disease. Closed-loop approaches offer the potential to not only match or even surpass the effectiveness of currently available treatments, but also promise longer battery life with fewer treatment-induced side effects. Despite preliminary experimental studies supported by computational analyses demonstrating its efficacy, there is no consensus on the best algorithm for controlling deep brain stimulation. This lack of a clear direction delays the implementation and clinical adoption of the technique. Moreover, without an understanding of the effectiveness of the various control approaches available, it is difficult to identify the most appropriate control scheme. To address this issue, this project aims to design a novel algorithm for closed-loop DBS and demonstrate that it outperforms the currently proposed approaches in terms of total energy use and symptom reduction. The demonstration will be conducted using a state-of-the art verification environment, where the proposed stimulation algorithms and their hardware implementations will be tested against a range of computational models of parkinsonian brain, providing objective measures of efficacy and efficiency of the proposed stimulation approaches.

Keywords: closed loop control,deep brain stimulation
Stratospheric Ozone Loss from Volcanic Eruptions (SOLVE)

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: Chemistry
Countries involved: United States,Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-11-01
End date: 2024-10-31
Duration (months): 36.0
Total project cost (EUR): 286921.92
EU funding (EUR): 286921.92
Participants: 2
Project status: SIGNED

The stratospheric ozone layer absorbs harmful UV irradiation, protecting life on Earth. Only small changes are needed for significant damage to human health and agriculture, making it essential to understand the chemistry behind ozone depletion. Most of the ozone depletion has been caused by man-made emissions of the CFCs and halons, which are now banned through the Montreal Protocol and its amendments. However, due to the long-lived nature of these species, full recovery of the ozone layer is still decades away. In a changing climate, stratospheric composition, temperature and dynamics may be significantly altered, changing the catalytic ozone depletion in the future. Furthermore, new concerns regarding the ozone layer have emerged, with explosive volcanic eruptions possibly causing the largest perturbation to the ozone layer in the future. In this project, I will use different methods to determine the impact of halogen injections into the stratosphere on the ozone layer, determining the kinetics of bromine-containing species using laboratory and quantum chemical methods and incorporating them into a global chemistry and climate model. The first two years, I will be at Harvard, where I will use different atmospheric models to investigate the stratospheric impact of volcanic eruptions for a variety of future climate scenarios. I will also be carrying out experiments using cavity enhanced absorption spectroscopy to determine the kinetics of an atmospheric reservoir species for reactive bromine in the atmosphere. In the last year of the project I will be at University of Copenhagen and carry out experiments with a cold matrix setup with Fourier transform infrared spectroscopy to investigate the reaction. Throughout the project, I will determine the mechanisms of halogen reactions at the molecular level using quantum chemical calculations. I will introduce the results from the kinetic experiments and quantum calculations into the models as they become available.

Keywords: atmospheric chemistry,spectroscopy,future climate,regional and global modelling
Enabling the Energy Union through understanding the drivers of individual and collective energy choices in Europe (ENABLE.EU)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Robust decision making and public engagement
Action type: Research and Innovation actions
Countries involved: Ukraine,Germany,Spain,Italy,Belgium,Norway,Bulgaria,Poland,Serbia,Hungary,France,United Kingdom,United Kingdom
Call: Social Sciences and Humanities Support for the Energy Union (H2020-LCE-2016-RES-CCS-RIA, 2016)
Start date: 2016-11-01
End date: 2019-10-31
Duration (months): 36.0
Total project cost (EUR): 3337416.25
EU funding (EUR): 3337416.25
Participants: 13
Project status: CLOSED

The Energy Union Framework Strategy laid out on 25 February 2015 has embraced a citizens-oriented energy transition based on a low-carbon transformation of the energy system. The success of the energy transition pillar in the Energy Union will hinge upon the social acceptability of the necessary reforms and on the public engagement in conceptualizing, planning, and implementing low carbon energy transitions. The ENABLE.EU project will aim to define the key determinants of individual and collective energy choices in three key consumption areas - transportation, heating & cooling, and electricity – and in the shift to prosumption (users-led initiatives of decentralised energy production and trade). The project will also investigate the interrelations between individual and collective energy choices and their impact on regulatory, technological and investment decisions. The analysis will be based on national household and business surveys in 11 countries, as well as research-area-based comparative case studies. ENABLE.EU aims to also strengthen the knowledge base for energy transition patterns by analysing existing public participation mechanisms, energy cultures, social mobilisation, scientists’ engagement with citizens. Gender issues and concerns regarding energy vulnerability and affluence will be given particular attention. The project will also develop participatory-driven scenarios for the development of energy choices until 2050 by including the findings from the comparative sociological research in the E3ME model created by Cambridge Econometrics and used extensively by DG Energy. The findings from the modelling exercise will feed into the formulation of strategic and policy recommendations for overcoming the gaps in the social acceptability of the energy transition and the Energy Union plan. Results will be disseminated to relevant national and EU-level actors as well as to the general public.

Keywords: individual and collective energy choices,quality of governance,social acceptability and mobilization,participatory foresight,prosumers,energy consumption modelling,randi investment choices
Programme for EArly-stage Researchers in Lille (PEARL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: France
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2018, 2018)
Start date: 2019-09-09
End date: 2024-09-08
Duration (months): 60.0
Total project cost (EUR): 4881600.0
EU funding (EUR): 2440800.0
Participants: 2
Project status: SIGNED

PEARL, proposed by I-SITE ULNE, will target three main objectives: (1) training, in an interdisciplinary context, a generation of early-stage researchers (PhD students) for scientific and technical excellence and equipping them with unique skills in terms of transferable background, fully build on selected societal challenges needs. (2) implementing innovative actions aimed at boosting the careers of PhD students, exposing them to inter-sectorial (via a strong network of public and private organisations) and international mobility (taking advantage of a unique cross-border campus), and at enabling them to develop skills via an efficient mentoring and managerial scheme and (3) helping I-SITE ULNE to achieve its main goal: to be ranked among Europe's 50 leading reference universities and to be recognized at the highest international level. Meeting European standards for doctoral studies, PEARL aims to welcome and guide recruited PhD students in the best conditions, provide them with a secure and unparalleled environment to carry out their research. The selected scientific domains proposed by PEARL combine science and scientific solutions with societal approaches to build tomorrow’s inclusive society promoting citizen well-being, aiming at transferring fundamental discoveries to applied technologies, to produce tangible innovation in society. PEARL will offer top quality conditions and a highly attractive environment of excellence, intended to fuel student’s desire to learn, as well as boost their taste for entrepreneurship and, creativity in research. The interdisciplinary / transnational character of the PhD projects, along with international and inter-sectorial secondments will be an asset for the future employability of PhD students both in and outside academia.
Versatile Platform for Handling Nanographenes (MOLShuttle)

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: Germany
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-03, 2019)
Start date: 2020-07-01
End date: 2021-12-31
Duration (months): 18.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Current strategies to fabricate novel materials are commonly constituted on composite designs, ideally engineered with atomic precision. Tremendous prospects exist for nano-electronics integrating functional molecules and nano-architectures, such as the nano-graphene family. By depositing tailored molecules on well-defined interfaces in vacuum, novel sophisticated structures and device elements come in reach. However, typical deposition processes with atomic finesse are limited to thermostable sublimable molecules, excluding many organics and almost all biomolecules with their fascinating properties. Our SoftBeam system fills this gap. Inspired by the 2D-INK FET project, we shall realize a versatile tool based on cutting-edge technology to deposit solvable species, irrespective of fragility aspects, on a given template in a highly-controlled manner. To reach full flexibility and a broad R&D community we propose a) to develop an innovative "portable preparation port"- a station to transfer the deposition yield to a desired analytical system such as scanning probe or electron microscopy, x-ray spectroscopy or synchrotron, and b) to integrate the system by refinement of the spray step and vacuum setup, while keeping vacuum, temperature control, and performance at lower expenses. SoftBeam will allow efficient and flexible handling of a plethora of complex species, which could not be processed with the methods applied in the 2D-INK project. Combining an innovative deposition method and the 2D-INK's holistic approach, we shall establish a next-generation instrumental platform for realizing unprecedented nano-architectures. Value to FET-project’s potential is obvious: While the initial aim on the development of novel materials remains, a new dimension is reached by the introduction of a potentially disruptive fabrication method. These measures will foster EU region and benefit a wide spectrum of end-users in nanotechnology, biotech, material science, chemistry and physics.

Keywords: es cibd electrospray deposition uhv esi thermolabile cvd pvd ombe mbe bottom up self assembly graphene gnr cof mof nano ribbons nano technology soft landing nano architecture xps spectroscopy stm afm
Modular multilevel cost Analysis Software for COmposite smarT fuselage (MASCOT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Italy,Italy,Italy,Italy
Call: Cost analysis software platform for evaluating innovative manufacturing technology for SMART fuselage (H2020-CS2-CFP09-2018-02, 2018)
Start date: 2019-10-01
End date: 2021-09-30
Duration (months): 24.0
Total project cost (EUR): 404532.5
EU funding (EUR): 400000.0
Participants: 4
Project status: CLOSED

The objective of the proposal is to set up a three-level-parameter cost estimation method that allows the determination of the final cost for the fuselage design under analysis. The tree-structure of the procedure allows a quick, easy and friendly-user inclusion of the main parameters determining the final cost of a fuselage both at the raw material level and at the component level and at the fuselage level. Level 0 contains information concerning the raw materials (rivet, fastener, composite raw material, honeycomb, gasket, sealant, paint), level 1 collects informations regarding the components (stringer, skin, frame, doublers, floor-beam, pressure bulkhea) and level 2 deals with the fuselage as entire object. The upper levels are connected to the lower levels by manufacturing routes that are expressed in terms of hours and hour cost (that is man-hours and machine-hours), and in terms of manufacturing technology. Each of the three levels collects informations and details to estimate the cost. Some of these parameters can be set as cost drivers in order to carry out both the analogous method and the parameter method. Levels 0 and 1 can collect historical data that will be used by the analogous method. The entire fuselage is thus defined by filling the three levels and the estimated cost can be computed by one of the methods (Analogous, Parametric o BottomUp). At level 1 the software will allow the maintenance and repair parameters to be interfaced to the Structural Health Monitoring (SHM) system in order to estimate the SHM technology cost and its cost benefit on manufacturing, maintenance and repair. A Bayesian based Dynamic Data Driven Application System (BDDDSA), developed by the Topic Manager, will be also integrated to the software. The cost estimation module will be endowed with GUI interface. It will be linked to CAD model to obtain geometrical parameters at each level. The module will also be interfaced to a multidisciplinary optimization tool.

Keywords: cost estimation,interdisciplinary
Language dynamics: a neurocognitive approach to incremental interpretation (LANGDYN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-10-01
End date: 2022-03-31
Duration (months): 78.0
Total project cost (EUR): 2185856.0
EU funding (EUR): 2185856.0
Participants: 1
Project status: CLOSED

Understanding spoken language involves a complex set of processes that transform the auditory input into a meaningful interpretation. Our percept is not of acoustic-phonetic detail but of the speaker’s intended meaning. This effortless transition occurs on millisecond timescales, with remarkable speed and accuracy, and without any awareness of the complex computations on which it depends. How is this achieved? What are the processes and representations that support the transition from sound to meaning, and what are the neurobiological systems in which they are instantiated? In this proposal, we combine advanced techniques from neuroimaging, multivariate statistics and computational linguistics to probe directly the dynamic patterns of neural activity, over bilateral fronto-temporal and parietal cortices, that are elicited by spoken words and sentences. Combined MEG + EEG imaging, linked to parallel fMRI studies, capture the real-time electrophysiological activity of the brain. Representational Similarity Analysis (RSA) and related multivariate techniques make it possible to probe the different types of neural computation that support these dynamic processes of incremental interpretation. Computational linguistic analyses of language corpora allow us to build quantifiable models of different dimensions of language interpretation – from phonetics and phonology to argument structure and anaphora - and to test for their presence, using RSA, as the utterance unfolds in real time. By this means we aim to determine directly the nature of the intermediate processes involved in the transition from early perceptual processing through different representational states to the development of a meaningful representation of an utterance, the dynamic spatio-temporal relationship between these processes, and their evolution over time.

Keywords: cognitive neuroscience