Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Elucidating the role of macrophages in liver regeneration and tissue unit formation (LiverMacRegenCircuit)

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: Life Sciences
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 166320.0
EU funding (EUR): 166320.0
Participants: 1
Project status: CLOSED

The liver, unlike many other tissues, has the ability to rapidly regenerate and restore function following tissue damage or surgical resection. This regenerative capacity has been recognized as far back as the ancient Greeks, who described it in the myth of Prometheus. Despite this, the precise molecular and cellular mechanisms underpinning the regeneration process are yet to be fully elucidated. Macrophages (Macs) have been proposed to play a role in regeneration but it has not been clear if these are Kupffer cells (KCs), the tissue resident macs of the liver, or macs recruited during the regeneration process (rMacs). Previously available tools have not allowed a distinction to be drawn between these cells. Within the liver KCs and/or rMacs are in close proximity to hepatocytes, hepatic stellate cells (HSC) and particularly liver sinusoidal endothelial cells (LSECs), these cells together with liver macrophages can be thought of as a tissue unit, which needs to be rebuilt as the liver regenerates. Adopting this tissue unit view of the liver, we hypothesize that these cells interact with one another forming a stable circuit, the maintenance of which is required for normal liver regeneration. Here we propose the use of novel and innovative tools including KC and tissue unit cell-specific knock in mice to study cell-cell cross-talk and conclusively determine the cell-circuit signals driving the formation of new functional units within the liver. With donor organs in short supply this project has the potential to uncover pro-regenerative therapies that are so desperately needed.

Keywords: macrophage,kupffer cell,liver regeneration,cell cell interaction
EIDOS of a city: simulating the collapse and resilience of ancient Eastern Mediterranean urban environments via agent-based modelling (EIDOS-IF-2019)

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: Cyprus
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-08-02
End date: 2023-08-01
Duration (months): 24.0
Total project cost (EUR): 145941.12
EU funding (EUR): 145941.12
Participants: 1
Project status: SIGNED

EIDOS (EIDOS of a city: simulating the collapse and resilience of ancient Eastern Mediterranean urban environments via agent-based modelling) is an interdisciplinary project that will expand the research communities’ perception about the mechanisms that contributed to the parallel change and transformations of cities in the network of urban habitats of the Eastern Mediterranean. EIDOS will address important questions concerning the phenomenon of urbanization: why do some cities fold at the first sign of turmoil while others, seemingly similar, thrive; what are the dynamic, emergent and complex interactions between growing and deterritorialised (dying) cities within a meshwork of urban environments, from antiquity to early modern times? What components of an ancient city enabled it to be integrated and incorporated into cities of later periods, sometime spanning to our modern period? By combining historical and archaeological data with recent advances in computational simulation methods, EIDOS will significantly add to our understanding about urban resilience in the past. The training and research offered by EIDOS will position the experienced researcher (ER) as an expert in urban computational modelling with highly interdisciplinary methodologies, enabling her to significantly influence urban archaeology and contribute solid foundations to understanding the resilience of our cities.

Keywords: urban collapse and resilience,agent based modelling,eastern mediterranean,computational methods
Nurturing the Development of Information Seeking Skills (InfoSeekDev)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-12-17
End date: 2020-12-16
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

The ability to search for information effectively and efficiently is central to academic and professional success. Understanding how children learn to seek information is a topic of immense importance for society, for parents, and for educators. Active learning – searching for information effectively and efficiently – requires the coordination of complex cognitive processes: the ability to generate, evaluate, test, and update one’s hypotheses about the world. Four skills critical for active learning develop between 3- and 10-years old: the ability to formulate effective questions from scratch, the ability to reason about uncertain events and to use that information to guide one’s search, the ability to adapt one’s search strategy based on feedback and task characteristics, and the ability to monitor the search process and stop searching when enough information has been collected. This project builds on this work to ask a critical but unanswered question: what factors support the development of these active learning skills and explain individual differences in them? Based on prior research, this project targets two factors: children’s cognitive skills and their socio-cultural environment. The first phase of the research is diagnostic and will explore using observational and correlational methods the associations and unique contributions of cognitive skills and socio-cultural input on children’s active learning skills. The second phase will use insights gained in Phase 1 to develop an intervention designed to boost children’s active learning skills. It will allow us to assess the causal impact of socio-cultural input and cognitive skills on the development of children’s active learning capacities by manipulating them experimentally. Because the acquisition of information seeking skills and the optimization of learning environments is critical to conceptual development in a variety of domains, findings promise to contribute both to psychological science and education.
Targeting N2O emission hot-spots in dairy pastures for mitigation action: microbes, stable isotope methods and modelling (Target-N2O)

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: Environment and Geosciences
Countries involved: Australia,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-11-01
End date: 2021-10-31
Duration (months): 36.0
Total project cost (EUR): 276107.4
EU funding (EUR): 276107.4
Participants: 2
Project status: CLOSED

Nitrogen (N) limits primary productivity in most terrestrial ecosystems, which has led to increased use of N fertilisers within farming systems. The amount of reactive N in global circulation has more than doubled; this has global significance as the N can cascade through different chemical forms in land, air and water, leading to a range of human health and environmental impacts. In order to achieve sustainable food production systems of the future, there is a need to improve knowledge on the best management of farm N, especially under increased demand for food production under a burgeoning human population. The Target-N2O project will deliver a high quality training-through research project aiming to improve N use efficiency and reduce emissions of the powerful greenhouse gas, N2O, from intensive dairy farms. The project will combine multi-disciplinary techniques in a novel way, including molecular ecology, stable isotope methods and whole-farm system modelling to determine the cost-benefits of an N loss mitigation strategy. The strategy would be to apply nitrification inhibitors to pasture areas which have been identified as farm-scale N2O emission hot-spots (e.g. areas of pasture around gateways, livestock shelter areas and camping areas). Such areas receive regular inputs of nutrients including labile N (through urine events) and carbon sources (via dung), which fuel microbial processes leading to enhanced and spatially variable GHG emissions. Evidence of the effectiveness of nitrification inhibitors to reduce N losses from these areas are lacking. The results of the action will have cross-sectoral impact (scientists, dairy and fertiliser industries and policy makers). The project will deliver decision support tools for farmers utilising such a mitigation strategy and will impact policy by improving national GHG inventories, establishing the effectiveness of cost-effective mitigation strategies.

Keywords: livestock,climate change,greenhouse gas,nitrogen cycle,nitrous oxide,nitrification inhibitor,biogeochemical modelling
Revolutionizing Stationary Energy Storage Cost: Go To Market Plan For Zinc-Ion Rechargeable Batteries (ENERZ)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-07-01
End date: 2019-09-30
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The current global market for Stationary Energy Storage will reach roughly $ 26 billion by 2022, at a compound annual growth rate (CAGR) of 46.5 %, mostly fuelled by the rapid growth of Renewable Energy Sources (RES). Due to their intrinsic intermittence, RES are dependent on large-scale energy storage technologies to definitely to reach higher levels of cost-efficiency. However, significant challenges remain when it comes to reaching the low-cost levels at which storage technologies combined with RES become competitive with the traditional electrical grid, while also remaining environmentally friendly. Enerpoly’s Zinc-Ion battery cell technology represents a breakthrough in stationary storage, by offering a simple, environmentally friendly, efficient, durable and low-cost alternative to Lead-Acid and Lithium-Ion batteries, today’s most used storage technologies. Besides storing renewable energy, Enerpoly’s technology can be used in many Uninterrupted Power Supply (UPS) applications at grid, industrial, commercial and even residential levels such as peak saving, datacentres, telco equipment, commercial and residential storage. ENERZ, Enerpoly’s main product, will allow battery manufacturers to reduce their current costs in more than 80% for the same kWh storage capacity when compared to Lead-Acid and Lithium-Ion batteries, with a longer cycle life and better safety. Thanks to this project, we expect to validate our prototype and consequently deploy our first pilot production line. We aim to reach €11,2 million turnover in 2025, four years after market entry, generating 25 positions in Sweden and helping positioning Europe at the forefront of energy storage technology.

Keywords: energy storage,battery technology,cell technology
The role of social behaviour in mate choice (SOCIAL MATCH)

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: Environment and Geosciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-01
End date: 2022-12-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

Cooperation is at the very base of our society and it has been argued that the adoption of cooperative breeding by our hominin ancestors provides the most parsimonious explanation for the origin of human hyper-cooperation. In addition, in humans, cooperation seems to bring not only kin benefits but also sexual benefits by influencing partner choice. Whether cooperative behaviour also influences partner choice in wild animals remains almost unknown. Two powerful tools will be used in this project, SOCIAL MATCH, to answer this question. First, statistical analyses of a long-term database including both cooperative behaviour and mating success and, second, new technologies to determine if and how cooperative behaviours can be sexually selected. In my project SOCIAL MATCH, I will focus on the cooperative behaviours of a natural population of a passerine under long-term investigation, the Sociable Weaver (Philetairus socius). I will test the predictions that if cooperation brings sexually selected benefits then it should be linked to mating success, condition and should be advertised. I will measure condition developing automated detection of individual mass. I will quantify the vocal behaviour of cooperating birds using on-board miniature microphones and classify the obtained vocalizations with machine learning algorithm. With the acquired information I will be able to design a playback experiment to explore the links between vocal advertisement of cooperation and probability of finding a mate. Therefore, I will quantify every step from the decision of helping to the breeding phase. Despite their explicit evolutionary relevance, the consequences of sexually selected direct benefits on promoting and maintaining cooperation have remained largely unexplored. SOCIAL MATCH aims to be a keystone project in the path of resolving these questions.
Time Machine : Big Data of the Past for the Future of Europe (Time Machine)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Tackling grand interdisciplinary science and technology challenges
Action type: Coordination and support actions
Countries involved: Austria,Germany,Germany,Germany,Italy,Italy,Israel,Spain,Germany,Germany,Spain,Germany,Belgium,Belgium,Poland,Poland,Switzerland,France,France,France,France,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Luxembourg
Call: Preparatory Actions for new FET Flagships (H2020-FETFLAG-2018-01, 2018)
Start date: 2019-03-01
End date: 2020-02-29
Duration (months): 12.0
Total project cost (EUR): 1215578.79
EU funding (EUR): 997930.0
Participants: 36
Project status: CLOSED

Europe urgently needs to restore and intensify its engagement with its past. Time Machine will give Europe the technology to strengthen its identity against globalisation, populism and increased social exclusion, by turning its history and cultural heritage into a living resource for co-creating its future. The Large Scale Research Initiative (LSRI) will develop a large-scale digitisation and computing infrastructure mapping millennia of European historical and geographical evolution, transforming kilometres of archives, large collections from museums and libraries, and geohistorical datasets into a distributed digital information system. To succeed, a series of fundamental breakthroughs are targeted in Artificial Intelligence and ICT, making Europe the leader in the extraction and analysis of Big Data of the Past. Time Machine will drive Social Sciences and Humanities toward larger problems, allowing new interpretative models to be built on a superior scale. It will bring a new era of open access to sources, where past and on-going research are open science. This constant flux of knowledge will have a profound effect on education, encouraging reflection on long trends and sharpening critical thinking, and will act as an economic motor for new professions, services and products, impacting key sectors of European economy, including ICT, creative industries and tourism, the development of Smart Cities and land use. The CSA will develop a full LSRI proposal around the Time Machine vision. Detailed roadmaps will be prepared, organised around science and technology, operational principles and infrastructure, exploitation avenues and framework conditions. A dissemination programme aims to further strengthen the rapidly growing ecosystem, currently counting 95 research institutions, most prestigious European cultural heritage associations, large enterprises and innovative SMEs, influential business and civil society associations, and international and national institutional bodies.

Keywords: cultural heritage,digital humanities,artificial intelligence,big data,digitization,conservation,indexing,information extraction,standardization,simulation,knowledge graph
Computational Photochemistry in the Long Timescale: Sub-ns Photoprocesses in DNA (SubNano)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: France
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-09-01
End date: 2024-08-31
Duration (months): 60.0
Total project cost (EUR): 2498937.5
EU funding (EUR): 2498937.5
Participants: 1
Project status: SIGNED

My goal in the SubNano project is to massively speed up the dynamics simulation of photoexcited molecules to allow addressing sub-nanosecond phenomena (that is, one thousand times above the current limits). The sub-ns methodology will be employed to investigate the long timescale nonadiabatic dynamics of photoinduced processes in nucleic acids, including DNA photostabilization via excitonic processes, biological fluorescent markers, and transient anion formation in DNA repair. To fulfill these goals, I will develop and implement a series of methods to extend nonadiabatic dynamics simulations into the new timescale, mainly based on a novel adaptive diabatic machine learning algorithm and a novel zero-point-corrected and vibronically-corrected mixed quantum-classical method. The sub-ns methodology will be constrained to be general (any kind or size of molecule), black-box (minimum user intervention), modular (adaptable to any electronic structure theory), on-the-fly (no need of precomputed potential energy surfaces), and local (independent-trajectories). It will be implemented into the Newton-X software platform, which I have been the main designer and developer. It will also be made available for all academic community through new releases of Newton-X. For the last 25 years, theoretical investigations of photodynamical processes have been restricted to the ultrafast (picosecond) regime, selectively choosing problems in this domain. The extension into the sub-ns regime is finally feasible thanks to a large algorithmic infrastructure I have built over the last 13 years, paving the grounds to develop a new research area, atomistic nonadiabatic dynamics on the long timescale. The success of the SubNano project will have an enormous impact on the research field, allowing to investigate outstanding interdisciplinary phenomena in chemistry, biology, and technology, which have been neglected due to a lack of methods.

Keywords: nonadiabatic dynamics,photophysics,mixed quantum classical methods
Corporate Network Governance: Power, Ownership and Control in Contemporary Global Capitalism (CORPNET)

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: Netherlands
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-09-01
End date: 2021-02-28
Duration (months): 66.0
Total project cost (EUR): 1497764.0
EU funding (EUR): 1497764.0
Participants: 1
Project status: CLOSED

The character of global business networks has long fascinated but continues to divide scholars of global markets and governance. A well-established perspective looks at the changes in global networks and sees an emerging cohesive transnational capitalist class. However, a rival line of inquiry sees the rise of competing corporate elites. Scholars also disagree on the origins of emergent patterns of corporate networks. Do they reflect institutional preferences of corporate and political elites? Or are they unintended by-products of corporate conduct? Third, there are fundamental differences of opinion on how patterns of global corporate ownership relate to actual power in the governance of such networks. Past research has been unable to adjudicate these debates in part due to insufficient data clarifying the full breadth of corporate interactions globally, and insufficient analytical tools for analysing that breadth. This project seeks to do what has so far eluded existing scholarship: to fully explore the global network of corporate ownership and control as a complex system. Network structures may appear to be the result of a grand design at macro level, but are the outcome of the sum of the actions of a large set of interdependent actors. Using cutting-edge network science methods, the project explores for the first time the largest database on ownership and control covering over 100 million firms. Exploiting the longitudinal richness of the new data in combination with state-of-the-art methods and techniques makes it possible to model and empirically test generating mechanisms that drive network formation. By doing so the project bridges the hitherto disjoint fields of social network studies in socio-economics and political science on the one hand, and the growing body of literature on network science in physics, computer science and complexity studies on the other.

Keywords: corporate governance,corporate networks,social network analysis,interlocking directorates,ownership and control