Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
AUTOMATED FUNCTIONAL SCREENING OF IgGs FOR DIAGNOSTICS OF NEURODEGENERATIVE DISEASES (AUTOIGG)

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: Life Sciences
Countries involved: Türkiye,Finland,Serbia,France,United States,Costa Rica
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 954000.0
EU funding (EUR): 954000.0
Participants: 9
Project status: SIGNED

The project proposes to organize the exchange of staff of three Academic institutions from Serbia (coordinator), Turkey and Finland, two SMEs from France and Turkey and three TC institutions (two from USA and one from Costa Rica) towards the production of an innovative automated multifunctional device for diagnostics of neurodegenerative diseases. The objectives addressed will be: • Development of experimental cellular models and procedures with immunoglobulins (IgGs) from patient sera as diagnostic and prognostic technologies related to neurodegenerative diseases (particularly based on studies of amyotrophic lateral sclerosis - ALS). • Defining mark-up characteristics of the standardized in vitro approach for personalized diagnostic protocols. • Design of a small-scale platform based on automated fluorescence microscopy. These objectives are based on previous studies on ALS of the coordinators group, however the project also proposes to study the applications on other neuroinflammations and neurodegenerative conditions. This addresses a relevant R & I as well as a socioeconomic medical issue. It is the right timing for addresing this research chalange towards application by means of networking that will deal with interesectorial and international exchange of expertise. In addition, three workshops and two training schools will be organized followed by an elaborate dissemination programme. Carrier plans will be designed for the seconded staff in order to maintain the sustainability of the Action.

Keywords: amyotrophic lateral sclerosis,astrocytes,immunoglobulins,calcium,voltage sensitive dyes
Labor Market Segmentation and Political Participation (LABOREP)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Labor market segmentation is a defining feature of advanced industrial democracies. Workers experience different levels of labor risks and protections, with those in secure employment enjoying statutory entitlements and social benefits while the low-paid, insecurely employed, underemployed and long-term unemployed do not. During the recent economic recession, the process of labor market segmentation has hastened, reaching unprecedented levels of differentiated labor risks. Apart from the consequences of segmentation on social and economic inclusiveness and on long-term economic growth potential, segmentation has important but neglected implications for political inclusion and representation. LABOREP aims to fill this gap by examining how labor market inequalities shape political mobilization. The Action traces how workers across labor divides participate in politics and how the recent economic recession and its aftermath have affected political participation across labor segments. To do so, LABOREP exploits variation in the impact of the economic recession across over 70 Barcelona neighborhoods and over the course of the economic recession in Spain (using three original datasets collected by the host), a country that represents an ideal “laboratory” for the study of segmentation. Apart from testing a set of original theses that further our understanding of theories of participation in politics, LABOREP develops a novel methodological approach to account for labor risk differentials within the same categories of work across countries and over time. Such differentials have hindered effective cross-national research on segmentation. The approach makes a contribution to the study of labor segmentation across the disciplines of economics, sociology and political science. The theory and method gaps along with the increasing economic relevance of segmentation suggest that LABOREP has identified a topic ripe for empirical investigation and of substantial policy relevance.

Keywords: labor market segmentation,precarious labor,political participation,political behavior
NMR insights on the soluble Guanylyl Cyclase conformational dynamics to illuminate the SIGNaling pathway (NMRSIGN)

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: Chemistry
Countries involved: Greece
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-08-01
End date: 2020-07-31
Duration (months): 24.0
Total project cost (EUR): 164653.2
EU funding (EUR): 164653.2
Participants: 1
Project status: CLOSED

Gas-sensing proteins play an important role in mediating biological events. Soluble guanylate cyclase (sGC) is activated when nitric oxide (NO) binds to heme Fe of sGC, and then stimulates cyclization of guanosine 5-triphosphate (GTP) to the second messenger cyclic guanosine 3,5-monophosphate (cGMP), which in turn has a direct role in the control of a variety of physiological processes in several signal transduction pathways. Disruptions in the NO/sGC/cGMP signalling pathway have been linked to a variety of diseases including congestive heart failure, stroke, hypertension and neurodegeneration. In this proposal, we will derive novel molecular insight into the heme-containing sensor domain of human sGC that is the primary receptor for NO and therefore plays a significant role in NO-signalling by employing structural and computational methods. The project will use the power of solution NMR spectroscopy and enhanced conformational sampling computational approaches to improve our atomistic understanding for this key biological protein and to identify a representative conformational ensemble that will be used in virtual screening of chemical libraries, so as to identify new, original, and more effective compounds for the activation of sGC. This novel approach of combining NMR and computational MD data to identify receptor conformations that play a major role in biomolecular recognition before commencing the structure-based virtual screening is expected to have a major impact in the field of drug design. Throughout this fellowship, the fellow will gain invaluable experience by combining the already accumulated experience in computational biology and CADD with advanced methods using NMR and computational data for the study of biomolecular structure and dynamics. This fellowship is expected to play a pivotal role at his reaching a position of professional maturity and will contribute to his successful transition to an independent research leader.

Keywords: gas sensing proteins,solution structure and dynamics,molecular dynamics simulations,ligand binding,virtual screening,computational docking
AFRICA's ‘INFRASTRUCTURE GLOBALITIES’: Rethinking the Political Geographies of Economic Hubs from the Global South (INFRAGLOB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Germany,Netherlands
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-03-01
End date: 2025-02-28
Duration (months): 84.0
Total project cost (EUR): 1495909.0
EU funding (EUR): 1398909.0
Participants: 2
Project status: SIGNED

Power beyond the state is most prevalent in economic infrastructure hubs with high technology and multiple global actors. Here, investors from emerging powers challenge traditional theory and practice. Chinese and Brazilian companies are now the most important bilateral investors in Africa. They apply existing rules and practices, and introduce new practices of governance and business-society relations that compete with Western norms. But their impact is not properly understood in theories of transnational governance. This project will rethink transnational governance by focusing on the margins of international relations to explain how models and experiences of actors from the Global South redefine the governance of economic hubs. Seemingly in the margins of international political economy, and neglected in International Relations, in Africa new forms of power and governance are invented and tested. Here states are weaker and experiments with multiple non-state actors and modes of governance tolerated. The fringes of theory-building in the discipline, the hubs of transnational economic infrastructure, and everyday practices of cross-border management can be theorized as arenas of the production, contestation and change of transnational governance. INFRAGLOB combines analysing the ideas driving Chinese and Brazilian management of large-scale port and mining projects with multi-sited ethnographic research of exemplary cases in Mozambique and Tanzania, establishing how these concepts are enacted, negotiated and disregarded in practice. It rethinks publics by mapping controversies that connect Africa, Brazil and China, and establishes how interactions and frictions between diverse practitioners and standards change broader transnational governance of business-community relations and security. ‘Infrastructure globalities’ will provide a unique understanding of how the Global South changes practices of governance and business-society relations in a multipolar world.

Keywords: practice approach,transnational companies,global south,global political ethnography
Neural mechanism underlying vocal interactions in duetting nightingales (MIDNIGHT)

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: Germany,Germany
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-03-01
End date: 2025-02-28
Duration (months): 84.0
Total project cost (EUR): 1491487.0
EU funding (EUR): 1334600.16
Participants: 2
Project status: SIGNED

Humans and many animals produce complex vocal sequences in order to communicate with each other. What are the neuronal mechanisms that integrate the auditory information and permit the production of a coordinated motor response during a vocal interaction? I will address this issue in the nightingale, a songbird species that is capable of duetting with rivals. During vocal interactions, nightingales have to precisely alternate between singing and listening, and I will test whether premotor centers are differentially sensitive to auditory input during these two states. In zebra finches, I have shown that the impact of a father’s song on premotor circuitry can be regulated by inhibitory interneurons during developmental song learning. Here I ask whether this same regulation of auditory input can rapidly change to support real-time vocal coordination in a duetting songbird. To measure neuronal activity during listening and singing, I will use intracellular recordings to assay the synaptic inputs and outputs of a premotor circuit. I will use a motorized intracellular microdrive that I helped to develop during my postdoc in order to enable these measurements in the freely behaving bird. A custom built vocal robot will be used to dynamically interact with birds during neural recordings. These experiments will reveal the synaptic profile of neurons during sensorimotor integration and clarify how nightingales are able to sing a temporally precise duet. The aims of my research proposal are 1) to investigate how auditory input influences the motor program, 2) how this auditory input is gated depending on behavioral demands and 3) how a song motif is generated on a neuronal population level. I will elucidate neural dynamics essential for vocal interactions, which may provide insights into brain mechanisms involved in human communication. As a result, this work would also generate new implications for our understanding of speech disorders and impairments to social function.

Keywords: sensorimotor integration,electrophysiology in behaving animals,vocal communication
Gender Career Gap and Firm Composition (GENCARGAP)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-09
End date: 2023-01-23
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

As careers progress women tend to lag behind their male peers. This career divergence results in the underrepresentation of women in positions of power, which is bound to bear an important cost to individuals, firms, and society. It is likely to be linked with a misallocation of talent, make the glass ceiling more impenetrable, and hinder future progress towards equality. The focus of this project is on the role of gender composition within firms and occupations on the career divergence of men and women. Relying on high quality administrative data and a credible empirical design, I will estimate how the share of women in a firm affects the gender career gap. Then employing structural estimation approach, I will test the effectiveness of policies aimed at reducing gender imbalances within the workplace, such as quotas or equal opportunity policy. Finally, I will conduct a comparative analysis across European countries to test the external validity of the findings and to draw lessons on the role of institutional environment and how it interacts with different employment policies. The question I address speaks directly to an ongoing global political and economic debate. Advancement towards gender equality is currently one of the priorities of the new Strategic Agenda of the EU. The approach I take is novel and the results have a potential to shed light on the underlying causes of workplace gender imbalances. Finally, the cross-country comparative analysis will add to the relevance of this proposal in a European perspective. The community of the Universitat Pompeu Fabra and Barcelona School of Economics and the supervision by Professor González constitute the perfect environment to conduct this project. The main factors being the outstanding research conditions, the strong affinity of research interests and agenda with the Supervisor, and the presence of a high number of experts with complementary knowledge and skills, which will lead to two-way knowledge transfer.

Keywords: gender,career gap,earnings profile
A Body Scan for Cancer Detection using Quantum Technology (CANCER SCAN)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Italy,Israel
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 3934743.75
EU funding (EUR): 3934743.75
Participants: 4
Project status: SUSPENDED

We propose to develop a radically new unified technological concept of biomedical detection utilizing front line new ideas in quantum optics and quantum mechanics. The new concept will be based on unified transmission and detection of photons in a three dimensional space of orbital angular momentum, entanglement and hyper-spectral characteristics (OES). These will enable a revolutionary scanner capable of detecting cancer not only in a specified organ but in various parts of the body at once, even from remote locations, and with no radiation risk whatsoever. Our pilot project will be focused on the early detection of breast cancer. Mammography, as the state of the art method for breast cancer screening, is limited in its sensitivity especially in younger women and/or women with dense breasts, and has been found to be problematic in women with genetic mutations. Thus the development of an improved and more reliable detection method is of paramount importance. A novel detection algorithm will be developed based on clinical trials in breast cancer patients, using the unified transmission and detection theory. We chose to verify our concept in the area of breast cancer due to its prevalence and the condition that feeds our concept (large amount of tissue without bone). In the long term this approach can be adapted to other areas of bio-medical diagnostics leading to total mass screening. The concept is based on non invasive utilization of light and its ramifications are numerous. In the proposed project, the endeavor will be both theoretical and experimental including derivation of a mathematical model and development of an experimental bio-compatible test-bed for cancer detection with minimal false positives. Our joint knowledge places the project at the cutting edge of science and technology developing a novel technology with the long-term vision of integrating quantum science in medical applications.

Keywords: cancer,optical detection,transmission,orbital angular momentum,hyper spectral
Inclusive Governance Models and ICT Tools for Integrated Public Service Co-Creation and Provision (inGOV)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Austria,Malta,Cyprus,Belgium,Greece,Greece,Croatia,Croatia,Greece,Luxembourg
Call: New forms of delivering public goods and inclusive public services (H2020-SC6-GOVERNANCE-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 3287000.0
EU funding (EUR): 3287000.0
Participants: 13
Project status: SIGNED

Today public authorities need to provide better services with fewer resources. Citizens require accessible, user-friendly, personalised, and integrated public services that match their needs and circumstances. At the same time, trust in the public sector deteriorates. We argue the solution rests in enhancing existing relevant EU work (on policies, models, frameworks, roadmaps etc) by adopting best research and practice (e.g. in public service co-creation) and by exploiting relevant technologies particularly mobile apps, virtual assistants (chatbots), knowledge graphs, and linked data. We acknowledge that for many years, the EU is providing useful practical advice including frameworks (e.g. EIF), models (e.g. CPSV), architectures (e.g. EIRA), roadmaps, etc. These however are not directly applicable anymore as they do not incorporate the latest research and practice, e.g. in public service co-creation. Similarly, research is not related to EU work and practice is not related to research. The vision of the inGov project is to provide innovative ICT-supported governance models as well as mobile apps including chatbots, which will enable stakeholders' collaboration in co-producing inclusive and accessible Integrated Public Services (IPS) thus increasing trust and satisfaction. For that purpose, multidisciplinary scientific methods will be used including design science, multiple case study and variants of the technology acceptance model. The project results will be piloted in Malta to modernise the digital family household public service (affecting 200,000 households), in Austria to deploy IPS for collecting tourism tax (affecting 3,200 accommodation providers), in Greece to digitise the disabled card renewal service (benefiting 11,500 disabled, low-income citizens) and in Croatia to create AI-driven virtual assistants and services (affecting 32,000 citizens). We aim to feed our results back to EU policies hence achieving alignment between policies, research and practice.

Keywords: integrated public services,service co creation,governance models,mobile apps,virtual assistants,disadvantaged citizens
Forecasting oil prices, oil price volatility and economic policy uncertainty (ENEFOR)

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: Greece
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-06
End date: 2017-04-05
Duration (months): 24.0
Total project cost (EUR): 164653.2
EU funding (EUR): 164653.2
Participants: 1
Project status: CLOSED

Oil price and oil price volatility forecasts are of major importance, given the oil market is well crowded by participants who proceed to decisions based on these forecasts (e.g. oil traders, monetary policy authorities, etc). The current state-of-the-art forecasting techniques, though, (i) involve a trade-off among internal consistency, forecasting accuracy and easiness to communicate aspects and (ii) do not use ultra high frequency data. Thus, this exciting and innovative project aims to develop new econometric model frameworks to forecast oil price and oil price volatility, which will be successful in enhancing internal consistency, forecasting accuracy and easiness to communicate extracting added-value (in terms of predictability) information from the ultra high sampling frequency. In addition, this project aims to use the forecasted oil price volatility to predict the economic policy uncertainty in Europe, given that oil price shocks exert significant impact on the effectiveness of economic policy. This project will allow the researcher to advance his existing scientific and transferable skills through the cutting-edge training in the state-of-the-art forecasting techniques, as well as, in programming, consultancy and policy formulation skills. The outcome of this training (i) will provide the fellow with an invaluable opportunity for the development of a pioneering research agenda and (ii) will position him as an internationally recognised scholar that contributes to research excellence in Europe. The established capacity of the fellow as an independent researcher in the area of energy economics, the expertise of the scientist-in-charge in state-of-the-art forecasting techniques and the infrastructure of the host organisation offer great complementarities, which will allow these highly innovative model frameworks to be realised. This project will have a great impact not only to the researcher, but also to the host organisation and to the European Research Area

Keywords: energy economics,volatility forecasting,ultra high frequency modelling