Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Data Science and Systems Complexity Research Training Programme (DSSC)

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: Germany,Switzerland,Netherlands,United States,Netherlands,United Kingdom
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2016, 2016)
Start date: 2017-05-01
End date: 2022-12-31
Duration (months): 68.0
Total project cost (EUR): 2092800.0
EU funding (EUR): 1046400.0
Participants: 16
Project status: CLOSED

Today’s world is a highly complex system that is producing massive amounts of data daily. We can only progress towards urgent global priorities such as sustainable energy, personalized healthcare or the development of the data-driven economy if we can predict the dynamic nature of such a system. This challenge calls for an integrated approach that uses data to understand the behaviour of complex systems, and for experts who can handle data and complexity problems for society at large. The DSSC Centre at the University of Groningen responds to this demand with a doctoral programme that offers Big Data and Systems Complexity training to ten early stage researchers. To combat the current fragmentation of data and complexity research along disciplinary lines, the DSSC Programme has an interdisciplinary format based on the premise that complex systems generate big data, and big data help identify, control and analyse complex systems. The DSSC mission is to enable students to become experts who provide effective data & complexity solutions for European strategic fields: energy, healthcare, safety and cybersecurity, smart industry, space and advanced instrumentation. As an interdisciplinary training programme it will prepare students to master modelling, computational and analysis methodologies from mathematics, statistics, computer science, engineering, and to manage Big Data in disciplines such as astronomy, physics, bioinformatics. It will develop the students’ intersectoral and international mobility through entrepreneurial training, internships and collaborative projects with major local and European stakeholders. The DSSC provides an optimum training environment: access to first-rate research facilities and experienced supervisors in a top 100 university where more than 50% of the PhD population comes from abroad. In the future, the Programme endeavours to foster an international collaborative research network that will address data and complexity challenges.

Keywords: data science,big data,complexity science,adaptive models,complex systems engineering,advanced instrumentation
Behavioural Application Program Interfaces (BEHAPI)

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: Information Science and Engineering
Countries involved: Italy,Italy,Italy,Argentina,Germany,Malta,United States,Denmark,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Portugal,Denmark,United Kingdom,Portugal
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-03-01
End date: 2023-12-31
Duration (months): 70.0
Total project cost (EUR): 742500.0
EU funding (EUR): 630000.0
Participants: 26
Project status: SIGNED

APIs are typically flat structures, i.e. sets of service/method signatures specifying the expected service parameters and the kind of results one should expect in return. However, correct API usage also requires the individual services to be invoked in a specific order. Despite its importance, the latter information is either often omitted, or stated informally via textual descriptions. Behavioural Types are a suite of technologies that formalise of this information, elevating flat API descriptions to a graph structure of services. This permits automated analyses for correct API compositions so as to provide guarantees such as service compliance, deadlock freedom, dynamic adaptation in the presence of failure, load balancing etc. The proposed project aims to bring the existing prototype tools based on these technologies to mainstream programming languages and development frameworks used in industry.

Keywords: component based software,static analysis,dynamic analysis,type systems
Cost-effective and resource-saving smart shower (SmartShower)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-04-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Showering accounts for 36% of water and 25% of heating consumption in an average European household. In an average 8.5 minutes shower, nearly 80L of warm and relatively clean water goes down the drain wasting also 90% of the energy used to heat the water. These figures, together with the worldwide water scarcity and energy consumption concerns created a market, within the personal water usage segment, for showering solutions that optimise resource consumption while improving the experience of a comfortable shower. Flow Loop IVS aims to pursue this market opportunity by bringing to market its innovative shower panel (SmartShower) allowing remarkable water (up to 90%), energy (up to 80%) and CO2 emissions (up to 80%) savings. SmartShower is based on a patent pending drain cover allowing retrofit installation, a unique circulation and self-cleaning filter system using standard “off-the-shelf” components, resulting in a solution with outstanding environmental and socio-economic benefits. SmartShower presents remarkable economic advantages such as lower purchase (up to 50%), installation (70-95%) and maintenance costs resulting in a reduced Total Cost of Ownership (up to 57% in a 5-year period) with a consequential lower ROI (i.e. 3.7 years in comparison with 7.5-8.6 years) when compared to competing solutions). SmartShower project is expected to significantly enhance Flow Loop's profitability, with expected revenue of €46M and profits of €26M, 5 years after commercialization. Moreover, the successful achievement of SmartShower objectives is expected to assist Europe in achieving ambitious objectives regarding water and energy savings in the household segment. According to our Business Plan, 5 years after entering the market, SmartShower will enable an average annual saving of 3.8 billion litres of water, 105 million kWh of energy and 30 thousand tonnes in CO2 emissions.

Keywords: smart shower,water saving,energy saving,reduced co2 footprint,improved comfort
Fractional Laplacian Advanced Research: a dynamical system approach (FLARe)

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: Mathematics
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

FLARe falls into the fields of fractional nonlinear spatio-temporal evolution equations, their dynamical analysis and bifurcation structure, from a theoretical and numerical point of view. The fractional Laplacian well describes nonlocal super diffusion phenomena which naturally appear in many applications in physics, biology and economy, characterized by long-range interactions. In the theory of nonlocal operators it constitutes the counterpart of the standard Laplacian in the classical theory of partial differential equations. Despite their differences, most of the relevant questions associated to the Laplacian have an equivalent for the fractional Laplacian. The novel challenge of FLARe is to also extend the analytical and numerical tools coming from a dynamical system approach for standard diffusion equations, to treat fractional diffusion equations (e.g. amplitude equations, continuation softwares etc.). This will be done thanks to an innovative interaction between the theoretical results on fractional operators, established theory on PDEs dynamics, stability and bifurcations, new and efficient discretization techniques and the continuation software pde2path. Taken together, they are going to constitute a solid methodology to investigate the dynamical properties of nonlinear fractional diffusion equations. These aspects also constitute the long term impact of the action: a well established link of three research fields, namely fractional diffusion theory, the dynamical system approach to PDEs and continuation software available for standard diffusion equation, which are not so well connected at the moment. The new link between different communities, the important results achieved during the action, the new capabilities of the continuation software, the supervisor expertise and clear guidance, the training and the outstanding research environment provided by the host institution are going to be the springboard for the researcher to a future career in academia.

Keywords: fractional laplacian,bifurcations,numerical continuation,lyapunov schmidt,center manifold,amplitude equations,pde2path,stability,dynamics
Ecosystem Approach to making Space for Aquaculture (AquaSpace)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Ireland,Australia,Italy,Germany,Spain,Spain,Italy,Greece,Hungary,Norway,Hungary,China,France,Canada,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Portugal,United Kingdom
Call: Optimizing space availability for European Aquaculture (H2020-SFS-2014-2, 2014)
Start date: 2015-03-01
End date: 2018-02-28
Duration (months): 36.0
Total project cost (EUR): 3625581.25
EU funding (EUR): 2989814.5
Participants: 22
Project status: CLOSED

The AquaSpace project has the goal of providing increased space for aquaculture to allow increased production. Following the call, we will achieve this by identifying the key constraints experienced by aquaculture development in a wide range of contexts and aquaculture types, taking into account all relevant factors and advised by a Reference User Group. We will then map these constraints against a wide variety of tools/methods that have already been developed in national and EU projects for spatial planning purposes, including some that have been designed specifically for aquaculture. In the freshwater sector only, we will also consider ecosystem services provided by aquaculture that are relevant to integrated catchment planning and management. At 16 case study sites having a variety of scales, aquaculture at different trophic levels with different environmental interactions and most importantly with a range of key space-related development constraints as defined by local stakeholders, we will assess appropriate tools using a common process so as to facilitate synthesis and comparison. This case study approach will generate a large amount of information and is allocated about a third of the project’s resources. The project will develop the outcomes leading to a set of evaluated tools for facilitating the aquaculture planning process by overcoming present constraints. This information will be presented on an interactive web-based platform with tailored entry points for specific user types (e.g. planners, farmers, public) to enable them to navigate to the tools most appropriate to their application. The knowledge and information gained during this process will be developed into an on-line module at Masters Level which will also be developed into a short CPD course aimed at aquaculture planning professionals. The public will be engaged by an innovative school video competition and a vehicle to ensure project legacy will be established.

Keywords: access,conflicts,production,tools,decision support,models,surveys,social,economic,multi criterion analysis,stakeholders,industry,regulators,planners,synthesis,training,education
Spectra- A novel diagnostic device to improve retinal imaging (Spectra)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: United Kingdom
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Health Intelligence provide medical software as diagnostic medical devices. We have developed retinal (fundus) photograph analytical software - Spectra, complemented by the lower cost, standalone and portable Spectra Retineye. Spectra is one of only three software packages certified by the English National Diabetic Retinopathy (DR) Screening Programme. It has benefitted screening providers by seamless integration with patient records and ability to monitor over time. Providers reported improved throughput and attendance. Spectra highlights much more than just DR. In deployments to date, over 50% of urgent eye clinic referrals are for suspected non-diabetic retinopathies. Thus, Spectra detects reliable biomarkers for many conditions. The greatest causes of blindness (after cataracts) are glaucoma, age-related macular degeneration and DR. Spectra can detect early and treatable stages of these diseases, in particular low-pressure glaucoma missed by ocular pressure tests. New markets also exist for diabetic eye screening programmes (DESP) in countries lacking the resources of the UK NHS. Teleopthalmology (enabled by Spectra Retineye) could deliver these. Both Spectra and Spectra Retineye can deliver economic benefits: • Reducing need for expensive equipment and highly-qualified staff • Portability • Increased footfall in high-street optometrists from eye screening patients • Easier and lower cost of screening to patients • Reduced social security costs due to sight loss Spectra will deliver tremendous social benefits. Preventable, irreversible sight damage will become rarer, reducing sickness and caring burdens. Spectra Retineye, which is eminently adaptable to teleopthalmology will allow more delivery models. These will detect more problems earlier, including the 46% of diabetics who are unaware they have diabetes and thus risk severe sight loss and other health problems until they are identified.

Keywords: software,retinal photography,diabetic retinopathy,glaucoma,age related macular degeneration,eye screening
Quantitative characterization of cardiac tissue microstructure from Diffusion Tensor Imaging (DTI4micro)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Cardiac Ventricular Remodelling (VR), i.e. the alteration of tissue microstructure that is a hallmark of several cardiac diseases, can have profound effects on cardiac function. A novel imaging technique, Diffusion Tensor Imaging (DTI) offers the potential to quantify VR in vivo and could thus have a significant impact on the assessment and treatment of cardiac disease. This project proposes the development of advanced analytical tools to evaluate its usability in the quantitative characterization of cardiac microstructure. The tools developed will aim at a) providing a mathematical description of normality in cardiac microstructure; and b) analysing local variation as an alternative descriptor for remodelling. A combination of preclinical and clinical validation will be performed, with histological slices used as ground truth for the identification of microstructural features. Emphasis will be placed on the development and application of a rigorous mathematical framework for the processing of tensor fields, including the quantification of local differences between tensors and the construction of statistical models for the quantification of pathology. The project joins an early researcher with extensive expertise in the statistical analysis of manifold-value data and its uses in medical imaging with an internationally recognized group in the analysis of cardiac microstructure and its links to electromechanical function. The host group has a network of collaborators including all relevant areas, from MRI physics to cardiac physiology. The program also includes the provision of further training opportunities for the applicant in different aspects from student supervision to preparation of research proposals, representing a unique opportunity for his development as an independent researcher.

Keywords: diffusion tensor imaging,cardiac magnetic resonance imaging,cardiac microstructure,cardiac atlas
Neolithic Seafaring and Maritime Technologies shaped a New World of Megalithic Societies (4700-3500 cal BC) (NEOSEA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Sweden
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-11-01
End date: 2025-10-31
Duration (months): 60.0
Total project cost (EUR): 1499973.0
EU funding (EUR): 1499973.0
Participants: 1
Project status: SIGNED

The NEOSEA project will investigate Neolithic seafaring and maritime technologies, and their role in shaping a new interconnected world of megalithic societies. Recent research into megalithic temporality, mobility and symbolic identity suggests that the rise of long-distance maritime journeys began in Europe as early as the megalithic era. Megaliths emerged in Northwest France (~4700-4200 cal BC) and then spread over the seaways along Europe’s Atlantic and Mediterranean coasts. This new discovery leads to NEOSEA’s core hypothesis that maritime journeys and new skills in shipbuilding and navigation arose in Europe much earlier than, as previously thought, in the Bronze Age. These discoveries prompt a radical reassessment of the early megalithic horizons and open a new scientific debate regarding the emergence of the maritime mobility of megalithic coastal societies, their internal organisation and what motivated their long-distance voyaging, and the rise of seafaring and maritime networks. Specific aims of the NEOSEA project are: (1) to model the spread of megaliths in Europe and the history of megalithic seafaring with pioneering chronological precision (within 20y) (2) to determine prehistoric maritime linkages, networks and migrations (3) to define the concomitant emergence of monumental stone architecture and the rise of seafaring within sea mammal-hunting societies in Brittany (4) to synthesize a model of the social and economic organization of megalithic seafaring communities, revealing the forces driving their expansion (5) to interpret these findings within a global context of cultural anthropology. The application of Bayesian statistical modelling on a large database of radiocarbon dates coupled with aDNA, eDNA and strontium analysis will produce the first closely detailed sequence for the rise of seafaring megalithic societies and their spread across Europe.

Keywords: megaliths,megalithic societies,neolithic,seafaring,maritime mobility,radiocarbon dates,bayesian statistics,ancient and environmental dna
Molecular Basis of Intelligence (MOLiNTEL)

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: Physics
Countries involved: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2023-06-30
Duration (months): 24.0
Total project cost (EUR): 202680.96
EU funding (EUR): 202680.96
Participants: 1
Project status: SIGNED

Ionotropic Glutamate receptors (iGluRs) influence the timescales at which neurons communicate with each other. The dynamics and flexibility of the response of iGluRs to neurotransmitter binding give rise to the synaptic plasticity responsible for normal human intelligence. Dysfunction of the iGluRs is causally responsible for diseases such as Alzheimer's and Amyotrophic lateral sclerosis. It is therefore medically important to understand how the structure-function relationship in the iGluRs operates at the molecular level. Many drugs attempt to target iGluRs to treat neuropathologies. However, due to the inherent complexity of the dynamics of iGluRs it is difficult to accurately target the causative function of the iGluRs thus making it difficult to form a viable pharmaceutical strategy, without insight into the dynamics of iGluRs at the atomic level. Additionally, although the individual members of the iGluR family are structurally very similar, they display very different kinetic and allosteric behaviour. The proposed project aims to focus on the comprehensive picture of the comparative dynamics of the members of the iGluRs. In close collaborations with experimental and computational methods development groups, I plan to investigate how the relatively small differences in the structures of the iGluRs give rise to the complex behaviours of the iGluRs. This will be accomplished via state of the art Molecular Dynamics (MD) simulations and a large library of computational thermodynamics techniques. From this dataset, using Machine Learning (ML) techniques in combination with Markov State Models (MSMs) I will create robust and testable models that can determine the commonalities and variances between the dynamics of the members of the iGluRs while throwing light on their mechanisms of action.

Keywords: biophysics,biological physics,scientific computing,computational science,biomolecular simulation,computational neuroscience