Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
VIsual representations of VIew Relations to support effective data analysis on large and high-resolution displays (VIVIR)

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: Denmark,Canada
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2022-01-01
Duration (months): 36.0
Total project cost (EUR): 263719.8
EU funding (EUR): 263719.8
Participants: 2
Project status: CLOSED

In VIVIR, I will conduct state-of-the-art research on supporting collaborative face-to-face data analysis. This is motivated by the increasing need for interdisciplinary teams to collaborate on understanding and analysing data. Additionally, as the scale and complexity of data increase, so does the demand for data-based insights and decision-making. My approach is to empower people who are working with large and complex data, by letting them lay out as many visualization views (in the following, denoted views) as necessary on large displays, and creating specialized meta-visualizations to show relations between these views. These meta-visualizations will allow team workers to be aware of each other’s work and the changing view- and data-relationships as they work. While the potential of view meta-visualizations has been acknowledged , there are currently only a few frequently used and considered essential examples of such meta-visualizations. These might show that data in two views are compared in a third view, or that a view shows a subset of the data shown in another view. Most importantly, there has been no thorough exploration into the power and potential of meta-visualization support for data-driven decision-making. To understand the potential impact of meta-visualizations on data analysis, we need to take a structured approach, to formalize these possibilities, which will improve our abilities to support knowledge worker teams as they face the challenges of analyzing increasingly complex data. In brief, data can be difficult to understand. Creating visualizations of data lets people see their data more clearly. As data size and complexity increases, more views are needed to reveal the information hidden in data. Large displays might be useful to solve this. However, a new problem is emerging – how to be aware of the data relationships, and keep an overview of analysis provenance , findings, and decisions between these multiple views. VIVIR tackles this issue.

Keywords: information visualization,large and high resolutions displays,large displays,meta visualization,multitouch interaction
Implementation of cost-optimized childhood vision and hearing screening programmes in middle-income countries in Europe (EUSCREEN)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Research and Innovation actions
Countries involved: Albania,Germany,Romania,Sweden,Netherlands,United Kingdom,United Kingdom
Call: Implementation research for scaling-up of evidence based innovations and good practice in Europe and low- and middle-income countries (H2020-SC1-2016-RTD, 2016)
Start date: 2017-01-01
End date: 2021-06-30
Duration (months): 54.0
Total project cost (EUR): 4255671.25
EU funding (EUR): 4183563.0
Participants: 10
Project status: SIGNED

Screening for vision and hearing disorders in children has shown to be highly effective. EU-directive 16620/11 invites EU-member states to give priority to such screening programmes. Early detection and treatment of a lazy eye (prevalence 3%) prevents lifelong visual impairment. Early detection and treatment of hearing impairment (prevalence 0.15%) prevents delayed speech and language development. Across Europe inequity exists in the provision of childhood vision and hearing screening programmes (VAHSPs). High-Income Countries (HICs) have VAHSPs, but they vary with regard to age and frequency of testing, tests used, uptake, screening professionals, referral pathway and funding. This makes it difficult for healthcare providers and policy makers to decide what VAHSP to implement in Low- to Middle-Income Countries (LMICs) and how. In this study, cost-optimised, evidence-based VAHSPs will be implemented in two LMICs, based on collated evidence from existing VAHSPs in Europe. Data on VAHSPs, demography, administration, general screening, screening professions, uptake and treatment availability will be gathered in an established network of professionals in 41 European countries and used in a disease/health system modelling framework to predict benefits and cost in the most optimal health system, taking regional diversity and organisational and resource requirements into account. Model-developed VAHSPs will be tested in the county of Cluj in Romania for vision, and in three counties in Albania for hearing screening. A generic strategy for implementation will be developed by detailed tracking, and from identified requirements, facilitators and barriers. The decision-analytic modelling framework and the strategy for implementation will be packed into a transferable TOOLKIT that will assist healthcare providers and policy makers worldwide in their decisions to introduce or modify VAHSPs, and increase effectiveness, efficiency and equity of child healthcare.

Keywords: implementation,scaling up of vision and hearing screening,cost optimization,comparative cost effectiveness analysis,lmic
Training Network on Automatic Processing of PAthological Speech (TAPAS)

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: Austria,Germany,Germany,Germany,Italy,Germany,Belgium,Belgium,Switzerland,France,France,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-11-01
End date: 2022-09-30
Duration (months): 59.0
Total project cost (EUR): 3856029.12
EU funding (EUR): 3856029.12
Participants: 21
Project status: SIGNED

There are an increasing number of people across Europe with debilitating speech pathologies (e.g., due to stroke, Parkinson's, etc). These groups face communication problems that can lead to social exclusion. They are now being further marginalised by a new wave of speech technology that is increasingly woven into everyday life but which is not robust to atypical speech. TAPAS is proposing a programme of pathological speech research, that aims to transform the well-being of these people. The TAPAS work programme targets three key research problems: (a) Detection: We will develop speech processing techniques for early detection of conditions that impact on speech production. The outcomes will be cheap and non-invasive diagnostic tools that provide early warning of the onset of progressive conditions such as Alzheimer's and Parkinson's. (b) Therapy: We will use newly-emerging speech processing techniques to produce automated speech therapy tools. These tools will make therapy more accessible and more individually targeted. Better therapy can increase the chances of recovering intelligible speech after traumatic events such a stroke or oral surgery. (c) Assisted Living: We will re-design current speech technology so that it works well for people with speech impairments and also helps in making informed clinical choices. People with speech impairments often have other co-occurring conditions making them reliant on carers. Speech-driven tools for assisted-living are a way to allow such people to live more independently. TAPAS adopts an inter-disciplinary and multi-sectorial approach. The consortium includes clinical practitioners, academic researchers and industrial partners, with expertise spanning speech engineering, linguistics and clinical science. All members have expertise in some element of pathological speech. This rich network will train a new generation of 15 researchers, equipping them with the skills and resources necessary for lasting success.

Keywords: pathological speech processing,speech assessment,speech recognition,speech therapy,assisted living
Dissecting the paradox of stasis in evolutionary biology (ROCKS-PARADOX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Norway
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1499930.0
EU funding (EUR): 1499930.0
Participants: 1
Project status: SIGNED

There is something deeply disconcerting about the current state of knowledge on rates of morphological evolution across different timescales: Why do most species in the fossil record exhibit negligible morphological change when contemporary populations often respond rapidly to selection? The ROCKS-PARADOX project will address this fundamental question – known as the paradox of stasis – along mutually reinforcing lines of enquiry, by merging theory and data across paleontology and evolutionary biology. The prevalence of stasis and other patterns of change are hard to evaluate without knowledge of evolution on timescales unattainable by studies of contemporary populations (microevolution) and comparative species-data (macroevolution). The ROCKS-PARADOX project will address this by analyzing the world’s largest collection of data on within-lineage evolution – spanning decadal to million-year timescales – using a statistical framework (developed by the project) where new and already established mathematical models of evolution are implemented. The ROCKS-PARADOX project also will conduct an unprecedented assessment of the effects of genetic constraints and evolvability on evolution beyond microevolutionary timescales. To do this, we will break new ground by estimating quantitative genetic parameters from fossil samples using machine-learning algorithms on a collection of 150,000 fossil clonal organisms (bryozoans) from a rich and highly-resolved stratigraphic section spanning 2.3 million years. The ROCKS-PARADOX project will bridge our current understanding of phenotypic evolution across timescales into a single cohesive theoretical framework, and open up new avenues for how fossil data can be collected and analyzed to inform questions within evolutionary biology. The project will develop new methodology with broad applications, including long-awaited tools for high-throughput phenotyping.

Keywords: morphological evolution,micro macroevolution
EUROpean quality Controlled Harmonization Assuring Reproducible Monitoring and assessment of plastic pollution (EUROqCHARM)

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: Germany,Spain,Italy,Italy,Switzerland,Norway,Belgium,Romania,Norway,Norway,Norway,France,France,Netherlands,Denmark
Call: A common European framework to harmonise procedures for plastics pollution monitoring and assessments (H2020-SC5-2020-1, 2020)
Start date: 2020-11-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 2045000.0
EU funding (EUR): 2045000.0
Participants: 16
Project status: SIGNED

Plastic pollution has become a global environmental and societal concern in recent years. Numerous protocols have been developed to monitor plastic debris, but these are rarely comparable. This has hindered gathering of knowledge regarding pollution sources, development of monitoring programmes and risk assessments and implementation of mitigation measures. To develop long-term solutions to reduce plastic pollution, it is essential to establish harmonised methodologies. EUROqCHARM will address this by critically reviewing state-of-the-art analytical methods and, taking harmonisation one step further, validating them through an interlaboratory comparison (ILC) study. This will bring together prominent laboratories in environmental plastics analysis and will produce certified reference materials to be marketed for at least three of the four target matrices (water, soil/sediment, biota, air), during and after project completion. EUROqCHARM recognises that harmonisation for large scale monitoring requires flexibility, comparability and reliability. We will identify Reproducible Analytical Pipelines (RAP), resulting in a catalogue of RAP procedures for nano-, micro- and macro-plastics for the four target matrices. Each RAP will be validated in terms of Technology Readiness Level to decide if further validation is needed (by ILC). Blueprints for standards, recommendations for policy and legislation and support for the establishment of acceptable reference levels and environmental targets will be given. This will include a roadmap for harmonised data collection and management, where policy analysis and coherence will be integral parts. To maximise impact, EUROqCHARM will also establish and consolidate an operational network for plastic monitoring, stimulating Transnational Joint Actions built on existing and future European and international initiatives. The multi-stakeholder composition of EUROqCHARM puts the group in a unique position to achieve these ambitious goals.

Keywords: harmonisation,standardised protocols,recommendations for policy
Design Automation for Smart Factories (DeFacto)

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: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 269002.56
EU funding (EUR): 269002.56
Participants: 2
Project status: SIGNED

The manufacturing world is experiencing what many recognize as “the fourth industrial revolution”, characterized by production lines turning into complex cyber-physical systems (CPSs). This transformation offers unprecedented opportunities but brings a series of intellectual and engineering challenges. The DeFacto (Design Automation for Smart Factories) project aims at advancing the field of CPS design and its automation by developing novel modeling paradigms, scalable algorithms, and tools to aid the design of smart manufacturing systems, ultimately fostering their widespread adoption. DeFacto’s methodology reasons about systems using reliable compositional abstractions of system behaviors based on assume-guarantee (A/G) contracts. An A/G contract represents the interface of a component as a pair of assumptions and guarantees. Assumptions are the behaviors that a component expects from the environment; guarantees are the behaviors the component promises in the context of the assumptions. Contracts are mathematical models that provide rigorous composition rules and mechanisms to analyze complex system behaviors, validate the design requirements, and develop system components in a modular and hierarchical way. CPSs challenge the existing notions of “modularity”, “hierarchy”, and “separation of concerns” in electronic design. DeFacto rethinks these notions to enable effective and computationally tractable compositional abstractions for industrial CPSs, by blending techniques from formal methods, simulation, and optimization for virtual prototyping and algorithmic synthesis of control software. DeFacto is a major step for my personal growth and my career as a well-rounded, independent researcher. It allows broadening my horizons with new approaches to CPS design automation and develops the necessary skills to address major scientific and technological challenges to be faced by the European economies and societies.

Keywords: cyber physical systems,design automation,contract based design,platform based design,advanced manufacturing,system level design,model based system engineering,industrial control systems
Immigration, Attitudes of Natives and Immigrants Assimilation (Long-term migration)

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: Economic Sciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

The aim of this project is to analyse the long-term effects of immigration on attitudes of natives towards immigration, as well as the mechanisms through which immigration may affect natives’ attitudes. Moreover, I plan to study whether attitudes of natives towards migration have long-term economic consequences, particularly on the ability of immigrants to integrate in the natives’ society, by analysing economic outcomes of first and second generation migrants. The identification strategy relies on instrumental variables, combined with machine learning methods for causal inference.

Keywords: migration,long term effects
Disruptive Real World Data & Real World Evidence Internet of Things platform for faster and more accurate clinical studies (HumanITcare)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
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

Clinical trials (CT) take an average of 8 years and $100M to complete and is a key component in drug development. Relevant to this proposal, some of the reasons that cause CTs to have high costs and lengthy time frames for Study Sponsors are ineffective monitoring, poor quality control measures, poor data management and lack of reporting tools. Among all phases, on average, these challenges amount approximately the 45-50% of the costs. Furthermore, traditional methods for evaluating the evolution of the patient’s symptoms produce data that is episodic, subjective and scarce, meaning that patients, clinicians, and other stakeholders do not get the needed evidence for making real-world decisions. We propose humanITcare, a disruptive Internet of Things (IoT) platform that provides Real World Data (RWD) & Real-World Evidence (RWE) which is innovative because provides a passive 24/7 remote monitoring of patient’s symptoms in CTs, validated in a clinical study with 60 participants in Hospital Clinic of Barcelona. Patients and clinical researchers are the final users with whom we have extensively worked on locally and at a European level in product validation and market fit. In the first internationalization year, we plan to go to strategic EU countries (Belgium, Germany and Sweden). We are a multidisciplinary team, including senior physicians, data scientists, software engineers as well as business and health experts. We have been awarded thrice from EIT Health. Our ambition is to be the best company for remotely monitoring the health of patients or the overall population using their own devices or disease-specific devices. With the grant and the coaching of the SME phase I, we intend to perform 1) market study; 2) regulatory analysis; 3) business plan. As part of our ambition, in 4 years, we will work towards entering the clinical market too with the aim to improve patients’ health outcomes by providing a better follow-up.

Keywords: real world data,real world evidence,platform,clinical research
Use of dimensional scanner for irregular shaped items in the optimisation of shipments (OPVOL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-01-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In the era of ecommerce, the number of small shipments has grown exponentially, leading to a new paradigm in Logistics. Traditional solutions for optimisation of freight volume are now insufficient and on-line retailers demand innovative systems that assist them to select the best available packaging for each item, and are effective for any item nature, geometry and shape. Within this background, our enterprise has identified an excellent market opportunity for an innovative solution that assists shippers in the selection of best available packaging volume, for each type of item. Since shipping costs account for as much as 8%-11% of gross e-commerce sales, a solution that can reduce in an average 5% the volume of the shipped parcels, has an enormous potential for high growth. OPVOL is an innovative dimensional scanning technology for irregular shapes, with unprecedented versatility to characterise items of any geometry, made of any material and in any colour. OPVOL offers an excellent precision (<3mm) with a high measurement speed (<20s) to determine the volume of items. OPVOL implements advance software solutions based on machine learning for automation of the selection of best available packaging volume, for a given item geometry and volume as determined in the dimensional measurement. This project will enable our enterprise to reach a total revenue above 26 million € and 90 new direct jobs by 2024, corresponding to OPVOL technology installed in near 60 logistic centres worldwide.

Keywords: business model,high growth,blue ocean,internationalisation,business opportunity