Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : INFRAGLOB (Horizon 2020, appel 2017, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : Institutions, Governance and Legal Systems
Entité participante : University of Groningen — Pays : Pays-Bas — Rôle : Partner
Acronyme de l'entité : RUG
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 97000.0 €

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.

Mots-clés : practice approach,transnational companies,global south,global political ethnography
Projet ERC : NanoMechShape (Horizon 2020, appel 2018, Consolidator grants)
Domaine scientifique : Life Science
Panel : Cellular, Developmental and Regenerative Biology
Entité participante : University of Cambridge — Pays : Royaume-Uni — Rôle : PI
Acronyme de l'entité : U. Cambridge
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1943071.0 €

Precise control of shape is key to cell physiology, and cell shape deregulation is at the heart of many pathologies. As cell morphology is controlled by forces, studies integrating physics with biology are required to truly understand morphogenesis. NanoMechShape will take such an interdisciplinary approach to investigate the regulation of animal cell shape. In animal cells, actin networks are the primary determinants of shape. Most cell shape changes fall into two categories: 1) those driven by contractions of the actin cortex, a thin network underlying the membrane in rounded cells; and 2) those resulting from transitions between the cortex and other actin networks, such as lamellipodia and filopodia. To understand cell deformations, it is thus essential to understand the regulation of cortex contractile tension and the mechanisms controlling transitions in actin architecture. NanoMechShape will comprise three aims. First, we will explore how cortex tension is regulated. We will focus on the role of cortex architecture, which remains elusive due to the difficulty in probing the organisation of the thin cortical network. We will unveil cortex architecture using super-resolution and electron microscopy, and systematically investigate how nanoscale architectural features affect tension. Second, we will explore how the identified regulatory mechanisms contribute to the establishment of a cortical tension gradient. We will focus on the gradient driving cytokinetic furrow ingression, an exemplar tension-driven shape change. Third, we will investigate transitions in actin architecture underlying cell spreading. We will compare spreading at the end of mitosis and during differentiation of mouse embryonic stem cells, paving the way to investigations of the crosstalk between cell shape and fate. By bridging a fundamental gap between molecular processes and cell-scale behaviors, our multidisciplinary study will unveil some of the fundamental principles of cell morphogenesis.

Mots-clés : cell biophysics,physical modelling of cell behaviour
Projet ERC : SMel (Horizon 2020, appel 2016, Advanced grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Condensed matter physics
Entité participante : University of Stuttgart — Pays : Allemagne — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2422543.0 €

Precision measurements are a key application of quantum technology. They have brought record precision in time measurement or outstanding sensitivity in measuring a whole wealth of quantities. Bringing such measurements to the nanoscale is new. If those quantum sensor function under a variety of environments, including ambient or physiological condition they promise unprecedented application. SMel aims to exploit the outstanding nanoscale quantum sensing capabilities of spin defects to achieve highly sensitive charge detection down to single elementary charges under ambient conditions. On top of that the project aims to detect and image molecular polarizability with sub-molecular resolution. This will allow to use spin defects as quantum sensors to measure resonant infrared excitation with sub-molecular resolution. It is the visionary aim of SMel to refine these methods to such an extent, that charge transfer inside a single biomolecular photosynthetic reaction centre can be detected and imaged.
Projet ERC : JetDynamics (Horizon 2020, appel 2017, Consolidator grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Fundamental constituents of matter
Entité participante : University of Turin — Pays : Italie — Rôle : PI
Acronyme de l'entité : UNITO
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1363396.7 €

Precision tests at high energy colliders are an essential tool for gaining insight into the nature of the Standard Model of particle physics and the fundamental interactions. The data currently being obtained by the LHC experiments will allow a large number of observables to be measured at a percent level accuracy. This data has the potential to probe deeper into the flaws of the Standard Model. However, the complexity of theoretical predictions using perturbative quantum field theory currently prevents many of these precision tests. JetDynamics aims for a breakthrough in precision predictions for the measurements of Standard Model interactions through the study of the dynamics of multiple strongly interacting hadronic jets. Percent level predictions for 2 to 3 scattering processes involving the Higgs boson and electroweak vector bosons will allow a unique insight into fundamental properties of the Standard Model in the new high energy region probed by the LHC. In order to achieve this goal a complete set of quantum corrections at next-to-next-to-leading order (NNLO) in perturbation theory are required. JetDynamics bridges the gap between mathematics physics and experimental collider physics and will develop a new generation of computational tools and methods} that will overcome current bottlenecks. The work program attacks this problem on three fronts: A) Develop revolutionary new ideas from the study of on-shell scattering amplitudes to address the current bottlenecks in the computation of multi-leg two loop amplitudes in QCD. B) Develop highly efficient tools for NNLO predictions with multi-jet final states and perform precision phenomenological studies of jet dynamics at the LHC. C) Lay groundwork for jet production beyond NNLO and build towards 1% perturbative accuracy. JetDynamics will lead to a new understanding of scattering at hadron colliders and take LHC physics into a new precision era.
Projet ERC : JAWS (Horizon 2020, appel 2019, Advanced grants)
Domaine scientifique : Life Science
Panel : Cellular, Developmental and Regenerative Biology
Entité participante : Centre national de la recherche scientifique — Pays : France — Rôle : PI
Acronyme de l'entité : CNRS
Type d'entité : Recherche
Financement ERC de l'entité : 2370352.0 €

Predation arguably impacts the evolution and shape of ecological systems. This process occurs at all scales from mammals to viruses. Predatory bacteria remain poorly studied despite their biological importance and often versatile experimental tractability. In this project, we propose to remedy this gap and study the molecular, cellular and ecological aspects of a collective bacterial predatory behavior. Specifically, capitalizing from previous molecular studies on motility, we will investigate how Myxococcus xanthus invades prey colonies and directly feeds on the prey cells by contact-dependent killing. We will then explore how the Myxococcus cells disseminate throughout the prey colony as concerted waves, thus preparing the next predatory cycle. While these experiments will be conducted in laboratory context, we will link molecular mechanisms of predation to ecological dynamics that actually occur in the wild directly by genomic analyses of environmental isolates and experimental evolution of predator-prey interactions. The feasibility of the project is guaranteed by the development of a new imaging tool (Bacto-Hubble) that captures the entire predatory cycle at single cell resolution. In addition, our laboratory recently identified for the first time the Myxococcus genes that promote contact-dependent killing, paving to molecular studies of prey killing and consumption. This project is uniquely multiscale and its realization requires true interdisciplinarity. For this, we will assemble a large collaborative network to connect approaches from the realms of genetics, structural biochemistry, theory and modeling and large-scale genomics. At the end of the project, we expect to obtain a first spatially resolved molecular blueprint of the Myxococcus predatory cycle, which will provide a framework to understand other multicellular predatory processes and well as their evolutionary trajectories.

Mots-clés : bacterial predation,cell motility,evolution of predator prey interactions,multicellular patterns,contact dependent killing
Projet ERC : ExpectBG (Horizon 2020, appel 2019, Starting grants)
Domaine scientifique : Life Science
Panel : Neuroscience and Disorders of the Nervous System
Entité participante : University of London — Pays : Royaume-Uni — Rôle : PI
Acronyme de l'entité : U. London
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1498100.0 €

Predicting future outcomes is fundamental for adaptive behaviour. Reward-predicting stimuli evoke a state of expectation, which informs motivation, guides attention, and drives preparatory motor behaviour. Reward expectations are crucial for learning since they serve as a comparison to actual outcomes. This comparison allows animals to determine if there is a prediction error (i.e. if an outcome was better or worse than expected). Even though reward expectation signals are observed in many areas of the brain how they are computed remains unknown. The main reason for lack of progress is the absence of a clear understanding of where expectation is generated and which circuits are involved in its computation. Consequently, we are missing the prerequisite knowledge for determining where reward expectation arises, how it is computed, and how expectations are learnt. We hypothesize, based on preliminary data and prior literature, that specific circuits within the basal ganglia are crucial for computing reward expectation. We will utilize cutting edge viral methods, combined with electrophysiological recordings and calcium imaging techniques, to identify the specific circuits and cell-types within the basal ganglia nuclei that compute reward expectation. The causal role these identified circuits play in learning will be determined using cell-type specific manipulations in mice performing reinforcement learning tasks. Finally, we will pioneer approaches to manipulate elements of the basal ganglia circuit, while simultaneously recording from specific cell types in the ventral tegmental area, that are involved in computing reward prediction error. Together, this work will uncover how specific basal ganglia cell types causally contribute to the computation of reward expectation and the calculation of reward prediction error. This will provide a foundation for understating how reward expectation influences adaptive behaviour and is perturbed in psychiatric disease.

Mots-clés : basal ganglia,lateral habenula,reward expectation,reward prediction error,learning,reward
Projet ERC : DenseMatter (Horizon 2020, appel 2016, Consolidator grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Fundamental constituents of matter
Entité participante : University of Helsinki — Pays : Finlande — Rôle : PI
Acronyme de l'entité : UH
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1342132.5 €

Predicting the collective properties of strongly interacting matter at the highest densities reached within the present-day Universe is one of the most prominent challenges in modern nuclear theory. It is motivated by the desire to map out the complicated phase diagram of the theory, and perhaps even more importantly by the mystery surrounding the inner structure of neutron stars. The task is, however, severely complicated by the notorious Sign Problem of lattice QCD, due to which no nonperturbative first principles methods are available for tackling it. The proposal at hand approaches the strong interaction challenge using a first principles toolbox containing most importantly the machinery of modern resummed perturbation theory and effective field theory. Our main technical goal is to determine three new orders in the weak coupling expansion of the Equation of State (EoS) of unpaired zero-temperature quark matter. Alongside this effort, we will investigate the derivation of a new type of effective description for cold and dense QCD, allowing us to include to the EoS contributions from quark pairing more accurately than what is possible at present. The highlight result of our work will be the derivation of the most accurate neutron star matter EoS to date, which will be obtained by combining insights from our work with those originating from the Chiral Effective Theory of nuclear interactions. We anticipate being able to reduce the current uncertainty in the EoS by nearly a factor of two, which will convert into a precise prediction for the Mass-Radius relation of the stars. This will be a milestone result in nuclear astrophysics, and in combination with emerging observational data on stellar masses and radii will contribute to solving one of the most intriguing puzzles in the field – the nature of the most compact stars in the Universe.

Mots-clés : quark matter,nuclear matter,thermodynamics,high density,equation of state,perturbation theory,effective field theory,phase diagram,neutron stars,heavy ion collisions
Projet ERC : NeuroSoNew (Horizon 2020, appel 2018, Proof of concept grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : University of Bologna — Pays : Italie — Rôle : Partner
Acronyme de l'entité : UNIBO
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 30625.0 €

Predispositions to preferentially orient towards cues associated with social partners, such as face-like stimuli or biological and animate motion, appear to guide human social behavior from the onset of life and are typically impaired in children with autism-spectrum disorders (ASD). An early detector of social predispositions and their impairment in newborns might provide a valuable biomarker for ASD, an indicator of utmost relevance since infants with ASD greatly benefit from early behavioral intervention. This proposal builds on a study performed within my ERC grant in which, by designing an innovative oscillatory visual presentation of face-like patterns and perceptually equivalent controls, we identified an EEG-based index of face processing, present in each newborn tested and obtainable with less than 2 minutes of newborn’s visual attention. However, recording newborn’s EEG is currently possible only in laboratory settings, as no fully portable EEG system adapted for newborns exists in the market. The goal of this proposal is to design a portable, wireless EEG-based device that allows easy, rapid and automatic testing of face processing in newborns in any context, including their homes. This device is ground-breaking because it will combine the efficacy of our innovative experimental paradigm tailored to newborn’s restricted visual attention with a portable, low-power, wireless EEG device based on dry electrodes and an automatic algorithm that will extract on-line the EEG-based index of face processing. Its realization will enable the development of an early, objective and easy-to-test EEG-based biomarker on newborns at risk, potentially opening the way to large-scale screening protocols. Given the flexibility of the paradigm with respect to the content of the visual stimulation, this method might be used for research purposes to explore the neural bases of other perceptual and cognitive functions in newborns.

Mots-clés : human newborns,screening protocol,social predisposition,face processing,neural biomarker,autism spectrum disorder
Projet ERC : NeuroSoNew (Horizon 2020, appel 2018, Proof of concept grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : University of Trento — Pays : Italie — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 113070.0 €

Predispositions to preferentially orient towards cues associated with social partners, such as face-like stimuli or biological and animate motion, appear to guide human social behavior from the onset of life and are typically impaired in children with autism-spectrum disorders (ASD). An early detector of social predispositions and their impairment in newborns might provide a valuable biomarker for ASD, an indicator of utmost relevance since infants with ASD greatly benefit from early behavioral intervention. This proposal builds on a study performed within my ERC grant in which, by designing an innovative oscillatory visual presentation of face-like patterns and perceptually equivalent controls, we identified an EEG-based index of face processing, present in each newborn tested and obtainable with less than 2 minutes of newborn’s visual attention. However, recording newborn’s EEG is currently possible only in laboratory settings, as no fully portable EEG system adapted for newborns exists in the market. The goal of this proposal is to design a portable, wireless EEG-based device that allows easy, rapid and automatic testing of face processing in newborns in any context, including their homes. This device is ground-breaking because it will combine the efficacy of our innovative experimental paradigm tailored to newborn’s restricted visual attention with a portable, low-power, wireless EEG device based on dry electrodes and an automatic algorithm that will extract on-line the EEG-based index of face processing. Its realization will enable the development of an early, objective and easy-to-test EEG-based biomarker on newborns at risk, potentially opening the way to large-scale screening protocols. Given the flexibility of the paradigm with respect to the content of the visual stimulation, this method might be used for research purposes to explore the neural bases of other perceptual and cognitive functions in newborns.

Mots-clés : human newborns,screening protocol,social predisposition,face processing,neural biomarker,autism spectrum disorder
Projet ERC : HealthierWomen (Horizon 2020, appel 2018, Advanced grants)
Domaine scientifique : Life Science
Panel : Prevention, Diagnosis and Treatment of Human Diseases
Entité participante : University of Bergen — Pays : Norvège — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2500000.0 €

Pregnancy complications such as preeclampsia and preterm birth are known to affect infant health, but their influence on mothers’ long-term health is not well understood. Most previous studies are seriously limited by their reliance on information from the first pregnancy. Often they lack the data to study women’s complete reproductive histories. Without a complete reproductive history, the relationship between pregnancy complications and women’s long-term health cannot be reliably studied. The Medical Birth Registry of Norway, covering all births from 1967-, includes information on more than 3 million births and 1.5 million sibships. Linking this to population based death and cancer registries provides a worldwide unique source of population-based data which can be analysed to identify heterogeneities in risk by lifetime parity and the cumulative experience of pregnancy complications. Having worked in this field of research for many years, I see many erroneous conclusions in studies based on insufficient data. For instance, both after preeclampsia and after a stillbirth, the high risk of heart disease observed in one-child mothers is strongly attenuated in women with subsequent pregnancies. I will study different patterns of pregnancy complications that occur alone or in combination across pregnancies, and analyse their associations with cause specific maternal mortality. Using this unique methodology, I will challenge the idea that placental dysfunction is the origin of preeclampsia and test the hypothesis that pregnancy complications may cause direct long-term effects on maternal health. The findings of this research have the potential to advance our understanding of how pregnancy complications affect the long-term maternal health and help to develop more effective chronic disease prevention strategies.

Mots-clés : preterm birth,preeclampsia,gestational diabetes,perinatal death,materal cvd mortality,diabetes 2,foetal growth restriction,large for gestational age  macrosomia