Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet STABLE (Horizon 2020, appel à projets 2018)
Action : Staff Exchanges
Panel : Information Science and Engineering
Statut du projet : SIGNED

Europe’s Cultural Heritage (CH) is at risk, endangered by environmental processes enhanced by climate changes and anthropogenic pressure. Specifically the slow (landslides, subsidence) and seismic (earthquake) movements of the ground have a strong impact on the structural stability of the CH. To have an idea of the dimension of the phenomena, the damage on the CH asset declared by the Italian Ministry of CH, caused by the recent earthquakes in Centre Italy, has been assessed in 2 Billion Eur. In this scenario, authorities in charge to CH preservation have a strong requirement for systematic, effective, usable and affordable tools and services to forecast and monitor the degradation process to enable preventive maintenance and to reduce the cost of the restoration. STABLE addresses the design and development of a Thematic Platform, combining structural stability models, damage assessment simulation tools, advanced remote sensing, in-situ monitoring technologies, geotechnics and cadastral data sets with WebGIS application for mapping and long term monitoring of CH. This will enable effective monitoring and management of the CH to prevent, or at least reduce, catastrophic damages. STABLE will coordinate the existing expertise and research efforts of the participant beneficiaries into a synergetic plan of collaborations and exchanges of personnel to offer a comprehensive transfer of knowledge and training environment for the researchers in the specific area. The development of Platform will constitute for scientist the way to share and improve CH safeguard methods, and to professionals to apply the most advanced technologies in the related fields.

Mots clés : structural stability, earthquake, remote sensing, cultural heritage

Participants :
- Geosystems hellas it kai efarmogesgeopliroforiakon systimaton anonimietaireia (Grèce) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 110400.0 €
- Alma sistemi srl (Italie) — Coordinator, beneficiary, Organismes privés (hors enseignement), subvention : 262200.0 €
- Frederick University (Chypre) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 128800.0 €
- National Technical University of Athens (Grèce) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 202400.0 €
- Space systems solutions (s3)ltd (Chypre) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 138000.0 €
- Tuscia University (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 82800.0 €
- Sapienza University of Rome (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 110400.0 €
- Foundation for Research and Technology Hellas (Grèce) — Partner, beneficiary, Recherche, subvention : 147200.0 €
Projet NoWork (Horizon 2020, appel à projets 2014)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

Europe’s population is currently the oldest in the world, and it is still ageing. This demographic shift is changing societies in an unprecedented way. Researchers and policy-makers fear that we will now only have sustainable pension schemes and a sufficiently numerous, well-qualified workforce if people work until old age. Consequently, many current policies strive to increase workforce participation and delay retirement. But can such policies for older workers be effective? Life-course scholars argue that experiences have time-delayed effects. What people experience during youth and mid-age influences whether they work in old age. Thus, policies for older workers may intervene at too late an age to make a difference. This study investigates time-delayed effects on older workers. It focuses on the effects of unemployment spells, which are said to scar work biographies and permanently hamper careers. This study uses the life-course perspective and thereby joins the newly emerging group of empirical studies that consider entire work biographies to explain workforce participation in old age. Its unique contribution is that it considers the role of social context in the form of families and economic crisis. Family members often coordinate their workforce participation and retirement timing. Economic crises increase unemployment rates, which affects the meaning and experience of being unemployed. This study compares the “most different cases” of Finland, Germany, Italy, Poland and the United Kingdom. Data stem from life-history interviews in the “Survey of Health, Ageing and Retirement in Europe”, the “English Longitudinal Study of Ageing”, and a self-administered Finnish survey. The approach combines sequence, cluster, regression and correlation analyses. Findings refine theories on old age, life-courses, labour markets, welfare states, and economic crises. Policymakers can use the insight gained to refine labour market policies.

Mots clés : old age, life course, paid work, family, economic crisis

Participants :
- University of Helsinki (Finlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 149438.0 €
Projet OptiSeLL (Horizon 2020, appel à projets 2017)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

Even though multilingualism is highly prevalent in Europe, those who speak a second or third language often differ substantially from native speakers in ways that hinder efficient communication. Despite it being acknowledged that individual differences play a critical role in learning a foreign language, the majority of research has focused on a narrow subset of factors such as learning strategies and personality traits. OptiSeLL aims to expand this exploration by looking at individual differences in phonological processing and the role they play in second language acquisition. OptiSeLL is based on recent findings from basic research in psycholinguistics showing that listeners differ substantially in how they process the speech signal. Our aim is to expand these novel findings and assess the degree to which they can be applied to second language learning. OptiSeLL specific objectives are to: 1. Examine whether individual differences in speech processing affect the acquisition of new phonological contrasts. 2. Examine whether such differences can also affect novel word learning. 3. Assess the degree to which exposure to different phonetic systems may lead to a more flexible speech processing. In other words, this project will take advantage of the existing individual variability to identify the key factors that facilitate second language learning, possibly through the development of flexible speech perception systems. Once known, we can then explore how we can manipulate these factors to design educational environments that support flexible communication and efficient language learning. In addition, the findings of this project will be of high theoretical significance to the field as they will considerably advance our understanding of basic speech perception mechanisms.

Mots clés : second language learning, individual differences, speech perception

Participants :
- Basque Center on Cognition, Brain and Language (Espagne) — Coordinator, beneficiary, Recherche, subvention : 170121.6 €
Projet ERNI2018 (Horizon 2020, appel à projets 2018)
Action : European Researchers' Night
Statut du projet : CLOSED

Ever since the European Researchers' Night project initiated, our consortium used it to strengthen ties between the academic community and the public at large, bringing scientists to meet the public at eye-level. We are proud to say that along the years we have achieved that goal by running venues all over the country in both main cities and the periphery while partners also engaged the public by outreach activities at local pubs, cafes and community centers. Those achievements will continue to lead our way in 2018&2019 when running the ERN events countrywide by the leading academic institutions and the Ministry of Science, bringing scientists and the public to meet and celebrate science together.

Mots clés : erni, night, israel, madatech

Participants :
- Oranim Academic College of Education (Israël) — Partner, beneficiary, Autres, subvention : 19137.0 €
- Sami Shamoon College of Engineering (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 25517.0 €
- Tel Aviv University (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 25517.0 €
- Weizmann Institute of Science (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 25517.0 €
- Hebrew University of Jerusalem (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 25517.0 €
- University of Haifa (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 34022.0 €
- Al-qasemi academy association (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 19137.0 €
- Open University of Israel (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 25517.0 €
- Migal - Galilee Technology Center (Israël) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 25517.0 €
- Israel Oceanographic and Limnological Research (Israël) — Partner, beneficiary, Recherche, subvention : 25517.0 €
- Bar-Ilan University (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 25517.0 €
- Bloomfield Science Museum Jerusalem (Israël) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 25517.0 €
- Madatech (Israël) — Coordinator, beneficiary, Organismes publics (hors enseignement & recherche), subvention : 68051.0 €
Projet BRECASTEM (Horizon 2020, appel à projets 2016)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

Every organ harbours adult stem cells which have the potential for long-term replication, together with the capacities of self-renewal and multi-lineage differentiation. These stem cells function in tissue homeostasis and contribute to regeneration in response to injury. In addition, many cancers are caused by transforming mutations occurring in tissue-specific progenitor cells. These transformed stem cells harbour long-term proliferative potential and the ability to regenerate tumours consisting of phenotypically heterogeneous cell types. The identities of cancer stem cells (CSCs) that give rise to breast tumours are incompletely understood. The mammary gland is composed of a complex cellular hierarchy, which undergoes most of its development postnatally. To achieve this great plasticity, both stem and progenitor cells play a pivotal role in the extensive tissue remodelling occurring during puberty and pregnancy. Deregulation of stem and progenitor cells is a key event in mammary carcinogenesis. Recently, the host laboratory identified a rare unipotent progenitor cell population in the adult murine mammary gland characterized by the surface protein leucine-rich repeat-containing G-protein coupled receptor 6 (Lgr6). Oncogenic mutations in Lgr6-positive cells led to the formation of luminal mammary gland tumours, and contributed to tumour aggressiveness and maintenance. Conversely, depletion of Lgr6-positive progenitors in mouse luminal breast cancer dramatically impaired tumour growth and morphology. However, the underlying molecular mechanisms driving these observations are unknown. The aim of this project is the characterisation of Lgr6-positive breast cancer stem cells, using functional and molecular approaches. We will characterise the molecular differences between cancer stem cells and non-stem cells, with the ultimate goal of identifying novel therapeutic strategies to eliminate breast cancer stem cells.

Mots clés : breast cancer, stem cells, lgr6, tumour initiation, drug resistance

Participants :
- The Francis Crick Institute (Royaume-Uni) — Coordinator, beneficiary, Recherche, subvention : 183454.8 €
Projet NEUROMODEL (Horizon 2020, appel à projets 2016)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

Every year, 1 out of 15 Europeans suffer from major depression (MDD) and MDD is the third cause of Disability-adjusted life-years. Today, the available treatments are clearly insufficient; only about 50% of MDD patients respond to drug intervention. We here posit that identification of biomarkers that can predict treatment response is needed to adapt a personalized medicine approach, and most likely this will involve not a single outcome but a combination of multimodal brain imaging outcomes, psychological, genetic, and environmental data. The complexity of such data requires a complex statistical model that currently does not exist. Thus, my aim is to develop a new flexible statistical method that can take into account heterogeneous types of data. More specifically, I will develop a fully flexible Latent Variable Model (LVM) that can deal with high dimensional measurements (e.g. images), non-Gaussian variables, and non-linear relationships. I will apply this flexible LVM on existing data from depressed and healthy individuals and later expand the application to predict treatment outcomes. The latter data are currently acquired and includes a cohort of MDD patients treated with a selective serotonin reuptake inhibitor (SSRI), followed in a longitudinal design. The chosen host institution is perfectly situated to this project, as they have an established unique database including, e.g., functional Magnetic Resonance Imaging (fMRI), high resolution Positron Emission Tomography (PET), and neuropsychological test outcomes. This research project uniquely combines advanced statistical modelling of rich data sets with the ultimate aim to establish individualized depression therapy. Moreover, it forms a foundation for a more general approach to integrate brain neurobiology in terms of imaging outcomes with other patient-specific data.

Mots clés : depression, statistical modeling, neuroimaging, personalized medicine, latent variable model, high dimensional statistics

Participants :
- Capital Region of Denmark (Danemark) — Coordinator, beneficiary, Organismes publics (hors enseignement & recherche), subvention : 200194.8 €
Projet ForGED (Horizon 2020, appel à projets 2020)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Existing studies of foreign geographical settings in early modern English drama are limited by narrow focus on particular authors, sub-periods, or geographical locations. My project will, for the first time, quantify and explicate the role that non-European geographies had in shaping the production of drama in England between c.1576 and 1660. I will uncover the overall extent of non-European settings for plays, and interrogate how English drama invoked locations that were the focus of national colonialist interest, and established foreign Empires that were at once alluring and threatening to English national interests and theatre audiences alike. ForGED will make available a body of new knowledge that will help the scientific community to better understand how England’s cultural, commercial, and colonial interests in--and anxieties about--the ‘foreign’ impacted the theatre and shaped key developments in drama. I will work with Daniel Carey (Professor of English Literature and Director of the Moore Institute) at the National University of Ireland, Galway, to refine my engagement with English travel writing and colonialist literature, which has an important bearing on my research. I will receive digital humanities training from David Kelly (DH specialist at the Moore Institute) in order to develop digital methodologies for quantitative research that will enable me to organize data about my corpus of plays and perform data visualisations to identify trends pertaining to particular dramatist, theatres, years, and foreign locations. My qualitative analysis of the data will be communicated to the scientific community through conferences and peer-reviewed puplications, and to the wider community through social media, blogs, and public engagement events.

Mots clés : early modern english drama, theatre, race, colonialism

Participants :
- National University of Ireland (Irlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 184590.72 €
Projet ProLeMAS (Horizon 2020, appel à projets 2014)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

Existing technologies usually represent norms as formal rules involving deontic operators. Such a rule-based representation of norms is not suitable to handle real data. Norms emerge from laws via an interpretation process. The methodology of Normative Multi-agent Systems (NorMas) by prof. Boella and prof. van der Torre has been conceived to overcome these limits. Nevertheless, the current formalization of NorMas features two main limitations. Firstly, its models are based on deontic logic such as input/output logic. Deontic logic is typically propositional, i.e. its basic components are propositions connected by modal operators. A proposition basically refers to a whole sentence. On the other hand, natural language semantics includes a wide range of fine-grained intra-sentence linguistic phenomena: named entities, scope-sensitive operators, etc. It is then necessary to move beyond the propositional level, i.e. to enhance the expressivity of NorMas fit to formalize the meaning of the phrases constituting the sentences (noun phrases, verbal phrases, named entities, etc.). Secondly, NorMas has never been implemented and tested on real legal text. Currently, NorMas is only a promising logical theory, but it is time to see how it behaves on real data, in order to make it suitable for commercial applications. Drawing from my past experience in natural language semantics, parsing, and corpora building, I propose a project for extending NorMas in that sense, leading to ProLeMAS: (Processing Legal language in normative Multi-Agent Systems), a new logic for normative reasoning in multi-agent systems. In particular, the present project aims at (1) filling the gap between the current formalization of NorMas and the richness of natural language semantics (2) Implementing a pipeline from legal text to ProLeMAS formulae, passing through parsing and reasoning.

Mots clés : normative multi agent system, legal text, natural language processing, natural language semantics, parsing, reasoning

Participants :
- University of Luxembourg (Luxembourg) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 160800.0 €
Projet TRAIN-EV (Horizon 2020, appel à projets 2016)
Action : Doctoral Networks
Panel : Life Sciences
Statut du projet : SIGNED

Exosomes and microvesicles/ectosomes, collectively termed extracellular vesicles (EV), have attracted much recent interest because of their potential functions, use as disease biomarkers and possible therapeutic exploitation. Due to their enormous relevance, this relatively new field of research is quickly expanding. While Europe leads the field of EV research, there are still many gaps in knowledge that need to be addressed to ensure optimal exploitation of EVs from health and Europe’s economic benefit. Addressing this, TRAIN-EV’s objective is to provide excellent and integrated multi-disciplinary and inter-sectoral training of a critical mass of ESRs of outstanding potential in the academic, clinical, and industry/business components of exploiting EV, while performing novel cutting-edge research to address these gaps and generate new knowledge. This will be achieved by appointing 15 ESRs into 10 Beneficiary Organisations (6 academic; 4 non-academic), with 4 additional Partner Organisations (3 non-academic; 1 academic) offering secondments, training and additional networking opportunities. All Participants have highly relevant and complementary medical/science/engineering/business expertise –detailed within– that will collectively contribute to the training, to PhD level, of these 15 ESRs as academic and industry EV leaders for the future.

Mots clés : extracellular vesicles, exosomes, cell to cell communication, cancer, inflammation, autoimmunity, biomarkers, therapeutic targets, drug delivery, training, industry, clinical, academia

Participants :
- Hansabiomed life sciences ou (Estonie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 226264.68 €
- Utrecht University (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 510748.56 €
- Trinity College Dublin (Irlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 531349.2 €
- GVS (Italy) (Italie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 258061.32 €
- Institut Curie (France) — Partner, beneficiary, Recherche, subvention : 489039.56 €
- University of Freiburg (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 498432.96 €
- Ghent University (Belgique) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 501120.0 €
- Semmelweis University (Hongrie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 447827.04 €
- Aj innuscreen gmbh (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 23052.52 €
- Bioinf2bio lda (Portugal) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 238356.36 €
Projet MagNem (Horizon 2020, appel à projets 2015)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : CLOSED

Experimental realization of ferromagnetic ferrofluids has been a long standing challenge which was recently overcome by the ground-breaking research of A. Mertelj et al. at the Host group. They have successfully combined soft-matter and magnetic-particle physics to achieve ferromagnetic order in suspensions of magnetic platelets in nematic liquid crystals. These ferromagnetic liquid crystals present the first experimental realization of polar nematic liquids and have opened up the possibility of studying an exciting new set of fundamental, previously inaccessible physical phenomena. MagNem aims to shed light on the understanding of complex hydrodynamics of these smart materials, in which flow, magnetic and nematic orderings are coupled. For this purpose, we will develop a range of new materials by changing surfactant/solvent combination. These advanced functional composites will exhibit different elastic, magnetic and steric interparticle interactions, giving us a perfect opportunity to focus on how the parameters governing the hydrodynamics of the system depend on the microscopic picture. The conjunction of nematic and magnetic ordering makes these colloidal systems responsive to both electric and magnetic fields and thus perfect candidates for applications in electro-/magneto-optic devices and magneto-optical flow sensing microfluidics. We will develop methods for the determination of dynamic parameters by combining magnetic, electric and mechanical strain fields and will work in collaboration with expert theoretical physicists which will model the experimentally observed phenomena. Our work will generate a fundamental understanding of the complex dynamics of ferromagnetic nematic liquid crystals, providing the necessary knowledge for material-property tailored design based on solvent/particle/surfactant combination and will lead to new insights for applications in the field of magneto-optics and lab-on-a-chip microfluidics with improved magneto flow control.

Mots clés : advanced functional composites, ferromagnetic nematics, colloidal suspensions, hydrodynamics of complex fluids, intelligent soft materials, self assembly

Participants :
- Jožef Stefan Institute (Slovénie) — Coordinator, beneficiary, Recherche, subvention : 145287.6 €