Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Employment of Advanced Deep Learning and Human-Robot Interaction for Virtual Coaching (Dr VCoach)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: SIGNED

The main objective of this project (DR VCoach) will be the following: “Design and implement a robotic coach able to propose a proper exercise schedule based on human directives, monitor the exercise performed by the patient/elder and correct it in case of mistakes”. The output of the project will be a robotic coach to assist the elders during their daily physical training. The robot will be able to understand verbal commands from the user (e.g. what will be the training schedule of today? Today I feel tired, can we do a lighter training?), to define the sequence of exercises to be performed, to show the exercises to the user (with a verbal description and performing them by it-self), to monitor the user performing the exercises using RGB cameras, to eventually find some errors in the execution and to suggest a correction to the mistake. The whole system can be divided into four modules: - Speech module: This is the module in charge of the vocal interaction between the robot and the elders. - Exercise scheduler: The role of this module is to break the selected exercise into atomic actions, and send these actions to the Error detector and Action recognition and prediction modules. - Error detector: The Error detector module analyses the results coming from the Action recognition and prediction module based on the required actions received by the Exercise scheduler. After evaluating the performed action, the module sends an evaluation report to the speech module in order to inform the elder. - Action recognition and prediction: This module has the dual task of recognising the action performed by the elder using the RGB videos coming from its embedded camera, and predicting the future viso-proprioceptive stimuli based on the action that is being performed. The system will be implemented on Zora (a NAO robot with a software layer to make it usable by non ICT people).

Keywords: action prediction,deep neural networks,convolutional neural networks,recurrent neural network,predictive coding,human robot interaction,active ageing,robotic coach
Shaping European Research Leaders for Marine Sustainability (SEAS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Norway
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2020, 2020)
Start date: 2022-03-01
End date: 2027-02-28
Duration (months): 60.0
Total project cost (EUR): 8165160.0
EU funding (EUR): 4082580.0
Participants: 1
Project status: SIGNED

SEAS will provide exceptional inter- and transdisciplinary research and training opportunities, supported by a dedicated team supervision and inter-sectoral mentoring scheme for 37 ERs in the area of marine sustainability, a strategic focus of the beneficiary University of Bergen, Norway. The SEAS programme promotes excellent, transdisciplinary research at the marine science-society-policy nexus. The programme will attract excellent researchers (for both incoming and outgoing mobility) through an inclusive, transparent, merit-based, and structured recruitment process. The ERs will acquire novel insight and skills in high-calibre research projects set within a transdisciplinary context, with the opportunity to transfer knowledge and skills between disciplines, organisations and sectors, and to harness entrepreneurial mindsets for innovation. SEAS will offer academic freedom, equal opportunities, personal career support, structured skill-based training, a regional ecosystem of marine actors, and high-quality working conditions. The ERs will be employed in postdoctoral researcher positions at UiB, with three-year contracts and full social coverage. Through SEAS, the ERs will gain unprecedented possibilities to diversify their marine career options within Norway, the European Research Area (ERA) and internationally.

Keywords: inter and transdisciplinarity,marine sustainability,science society policy nexus
Needs Tailored Interoperable Railway (NeTIRail-INFRA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Türkiye,Romania,Slovenia,Romania,Sweden,France,France,Netherlands,United Kingdom,United Kingdom
Call: I²I – Intelligent Infrastructure (H2020-MG-2014_TwoStages, 2014)
Start date: 2015-06-01
End date: 2018-05-31
Duration (months): 36.0
Total project cost (EUR): 5467305.0
EU funding (EUR): 5453555.0
Participants: 14
Project status: CLOSED

The Needs Tailored Interoperable Railway project (NeTIRail-INFRA) focuses on infrastructure challenges affecting the large number of people and the large geographical proportion of Europe (especially recent accession countries) that are served by conventional rail lines. These lines have huge potential for a step change in productivity which must be addressed to ensure economic viability. The work will address growing demand for already busy services, and future growth of under utilised lines, with technical solutions for track, power supply and support of new smart services. Technical developments in NeTIRail-INFRA will focus on modular infrastructure, i.e. standard designs with multiple application in different locations, thereby reducing planning cycles, enabling a lean design process for new installation and retro-fit. Accompanying economic and social impact research is packaged as decision support tools to implement the findings in management of the rail network. Holistic treatment of the economy of operation will be developed, including societal impacts of rail investment decisions, to increase attractiveness of rail for all passenger categories. This focus differentiates NeTIRail-INFRA from purely technical development projects and will ensure its outputs have a real market, and achieve genuine impact. The project targets the Shift2Rail priorities of enhancing capacity, increasing the reliability and quality of services, and significantly reducing life cycle costs, and supports the Transport White Paper ‘Roadmap to a Single European Transport Area’ target that by 2050 the majority of medium-distance passenger transport should be by rail. The project targets reliability/availability up ~20%, capacity utilisation of 70-90%, and recurrent costs down 25-45%. Alongside its impact on transport, the skills developed in the project will allow European businesses and researchers to export their knowledge to wider markets, supporting EU competitiveness and growth.

Keywords: rail,track,overhead power supply,smart technology,societal impact,economics,decision support tools
Perceptions of threat to personal values shape punishment judgments through social identity threat (ThreatValPun)

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: Social Sciences and Humanities
Countries involved: Netherlands,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-01
End date: 2019-08-31
Duration (months): 36.0
Total project cost (EUR): 242929.8
EU funding (EUR): 242929.8
Participants: 2
Project status: CLOSED

In modern societies, the criminal justice system is entrusted to punish norm violators in a fair and impartial way. Yet, punishment judgments are subject to biases, and are sometimes shaped by extralegal factors, as illustrated for example by the over-representation of African-Americans in inmates in the US. This project investigates one such factor, namely perceived threats to one’s personal values. We argue that even when unrelated to the wrongdoing, value-violations represent a threat to one’s personal values and to one’s identity. As such, value-violations trigger a motivation to restore the threatened values and identity, leading to differential punishment judgments as a function of the target’s fit or misfit with the perceiver’s values. We test this crucial role of perceptions of threat to personal values in two lines of research, using a combination of traditional experimental research methods, and modern measurement methods. In the line of research A, we aim to identify moderators of the effect of personal value on punishment judgments. Experimentally increasing or removing threat to values will allow us to gain a clearer understanding of the causal processes at play. In the line of research B, we aim to identify the neural processes underlying the effects of perceptions of threat to personal values on punishment judgments. Using fMRI, lesion patients and cardiovascular indices, we will gain complementary perspectives on the dynamics at play. As a result, the present proposal will enhance knowledge in the fields of values, social justice and morality, but also offer applicable strategies to reduce the impact of threat to values on real-life potentially consequential judgments, for example in the legal system.

Keywords: social psychology
Modulating the behaviour of cancer myofibroblasts to control tumour desmoplasia (MYO-DESMOPLASIA)

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: Cyprus
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 163648.8
EU funding (EUR): 163648.8
Participants: 1
Project status: CLOSED

In many tumors a desmoplastic reaction takes place during progression, which results in extensive production of collagen by stromal cells of the tumor, mainly fibroblasts and myofibroblasts. Tumor desmoplasia determines in large part the patho-physiology of solid tumors and poses a major barrier to effective drug delivery, affecting the overall survival of cancer patients. Here, the applicant proposes to test the hypothesis that the increase in extracellular matrix (ECM) stiffness and transforming growth factor-beta (TGFβ) activation often observed during tumor progression have additive effects on tumor desmoplasia. Therefore, targeting any of these parameters alone or in combination can reduce the desmoplastic response of the stromal cells. To explore this hypothesis, a combination of cutting-edge techniques will be employed. Specifically, a collagen ECM model, with pre-determined topography and tunable stiffness will be developed. Subsequently, fibroblasts and myofibroblasts will be cultured in the ECM models. Cells nano-mechanical behavior and their morphodynamic alterations will be investigated with Atomic Force Microscopy and light/fluorescence microscopy under the presence or absence of TGFβ or anti-TGFβ agents. Finally, the effects of matrix stiffness along with different TGFβ concentrations in the expression pattern of genes encoding ECM components will be investigated using real-time PCR. The research results will elucidate the mechanisms of the interplay between matrix stiffness and TGFβ production in modulating the ability of fibroblasts and myofibroblasts to form tumor desmoplasia. In the proposed project, the fellow will acquire scientific and complementary skills according to his personalized career development plan and through advanced training, international and inter-sectoral mobility will reach a position of professional maturity in research.

Keywords: tumor microenvironment,nanomechanics,collagen network models
A high performance solution for predictive analytics (Neural Designer)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The predictive analytics market is undergoing an impressive growth. Indeed, organizations that incorporate that technique into their daily operations not only better manage the present, but also increase the probability of future success. Intelnics develops the professional predictive analytics solution called Neural Designer. It makes intelligent use of data by discovering complex relationships, recognizing unknown patterns, predicting actual trends or finding associations. Neural Designer out-stands in terms of functionality, usability and performance. Current technology lacks from advanced model selection techniques, and usually requires many computational resources. The main challenge for Neural Designer is to include a framework capable of untangling complex interactions in big data sets. In order to do that, the software must achieve ultra high performance by means of more efficient algorithms, code optimization and multi-core processing. The intended users of the solution are professional data scientists, which work at analytics departments of innovative companies, consulting firms specialized in analytics or research centres. Neural Designer will be capable of analysing bigger data sets in less time, providing our customers with results in a way previously unachievable. The goal is to successfully market Neural Designer. The feasibility assessment of Phase 1 will help us to validate our working hypothesis regarding technical, commercial, financial and legal issues. This study will allow Intelnics to apply for Phase 2 support, in which Neural Designer will be developed to a level of global competitiveness. The predictive analytics market is largely dominated by the United States, but completion of this project will introduce a European product in the market place of data science.

Keywords: data mining,predictive analytics,big data,artificial intelligence,machine learning,neural networks
ERA-NET Cofund on Blue Bioeconomy - Unlocking the potential of aquatic bioresources (BlueBio)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: ERA-NET Cofund
Partnership: BlueBio (ERA-NET)
Countries involved: Estonia,Germany,Iceland,Germany,Spain,Estonia,Ireland,Italy,Germany,Ireland,Malta,Norway,Belgium,Finland,Greece,Croatia,Sweden,Sweden,Romania,Latvia,France,France,Denmark,Portugal,Portugal
Call: Blue Bioeconomy Public-Public Partnership (H2020-BG-2018-1, 2018)
Start date: 2018-12-01
End date: 2024-05-31
Duration (months): 66.0
Total project cost (EUR): 25547940.22
EU funding (EUR): 8014646.640000001
Participants: 36
Project status: SIGNED

The ERA-NET Cofund BlueBio will act to unlock the potential of aquatic bio-resources to create jobs, economic growth and provide food, nutrition and bio-based products and services. Thus, paving the way for a sustainable and competitive Blue Bioeconomy in Europe. The goal is to identify new and improve existing ways of bringing bio-based products and services to the market and find new ways of creating value in the Blue bioeconomy. The objectives of BlueBio are to establish a coordinated R&D funding scheme that will strengthen Europe’s position in this complex economic field in a global market. This will primarily be achieved by engaging funding agencies to implement a co-funded call focusing on Blue Knowledge and technological developments to respond to needs and gaps for R&I. The consortium has committed budgets making a strong co-funded call leveraging well the Commission's requests. BlueBio builds upon the networks, achievements and strategies obtained in the COFASP and ERA-MBT ERA-NETs and JPI Oceans, and will leverage the JPI Oceans role as a coordination platform. The consortium aims to implement 2-4 additional calls, developed through stakeholder engagement, and identifying new funding initiatives. BlueBio will implement a range of related activities which can add value to the cofounded projects and better address the impact of R&I projects. BlueBio will enhance valorisation from the actors in the Blue Bioeconomy sector, identify and address R&I needs of industry and society. Communications activities will support BlueBio and the funded projects to realise tangible impacts. Emphasis will be placed on the creation of pre-commercial outputs aimed at accelerating commercialisation and competitive deployment. BlueBio's directions and legacy will be informed by strategic forward-looking processes involving all stakeholders in identifying needs and gaps along the value chains.

Keywords: blue bioeconomy
Virtues and Vice in Mathematics (VaViM)

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: Social Sciences and Humanities
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-11-30
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

Mathematics is a human activity, and as for all human activities ethical considerations arise. However, so far the ethics of mathematics has remained an under-explored topic both among philosophers and mathematicians. Because mathematics is a collective epistemic endeavour injustices in its social structure, such as biased refereeing practices, impact its epistemic output. These injustices have not yet received sustained critical reflection, even though they are both socially relevant, since they impact the careers and hence lives of mathematicians, and epistemologically relevant, because they shape publicly available mathematical knowledge. VaViM will study the virtues and vices that manifest in such injustices and develop an interventionist philosophy which supports concrete recommendations, such as policy advice. VaViM expands the theoretical frameworks provided by the virtue-theoretic literature to a study of cases of injustices in mathematical practices. This empirically informed philosophy will provide detailed investigations of how virtues (e.g. charity) and vices (e.g. egotism) manifest in mathematical knowledge-making. This will reveal points of connection between the ethics and epistemology of mathematical practices and open up a discursive field for philosophers and mathematicians to engage with the ethics of mathematics. As a European centre of excellence in socially relevant philosophy the VU Amsterdam is the perfect host for VaViM. The shared philosophical interest in the sciences ensures the two-way transfer of knowledge between VaViM and its host and provides ample opportunity for collaboration. The VU’s expertise with public philosophy and its research networks provide excellent means for dissemination for VaViM’s findings on the societal challenges mathematicians are facing in Europe in a changing world. Through VaViM I will enrich the European Research Area as a pioneer of a socially and epistemologically relevant philosophy of mathematics.

Keywords: philosophy of mathematical practice,epistemic injustice,ethics of mathematics
New and mature neurons in adult circuits: telling memories apart (NEWRON)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: France
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-10-01
End date: 2022-09-30
Duration (months): 72.0
Total project cost (EUR): 1498955.0
EU funding (EUR): 1498955.0
Participants: 1
Project status: CLOSED

How does the brain distinguish between memories that closely resemble each other? The hippocampal dentate gyrus has been suggested to serve this purpose by generating non-overlapping memory representations in a process termed “pattern separation”. Intriguingly, during adult life, the dentate gyrus is constantly supplied with new neurons, providing new circuit elements that can incorporate into the neuronal network. How the activity of new adult-born neurons and mature granule cells combines to drive the production and storage of distinct memories represents a new frontier in understanding brain function. However, to determine how these neurons transform similar synaptic input patterns into decorrelated spike output patterns representing distinct memories, we need to monitor and manipulate their subthreshold and suprathreshold activity during behaviour. To address these challenges, we will combine molecular, physiological and optical approaches in the mouse dentate gyrus during navigation in a virtual reality environment. We will use intracellular recordings to assess how hippocampal neurons convert synaptic inputs into spike output, 2-photon Ca2+ imaging to monitor population activity in the hippocampal circuit, and optogenetic tools to causally test the involvement of specific cell types. These experiments will allow us to address the following key questions: 1. Which behaviours trigger action potentials in identified newborn and mature dentate gyrus neurons? 2. How do synaptic inputs drive spiking in newborn and mature neurons during behaviour? 3. How are small changes in an environment encoded by synaptic inputs to newborn and mature neurons? 4. Can we differentially manipulate the activity of new and mature cells to selectively interfere with animal behaviour during pattern separation and completion tasks? Understanding the role of new and mature neurons in hippocampal function will provide fundamental insights into the cellular mechanisms of memory formation.

Keywords: learning,memory,electrophysiology,hippocampus,2 photon,adult neurogenesis