Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : OCEAN DEOXYFISH (Horizon 2020, appel 2019, Advanced grants)
Domaine scientifique : Life Science
Panel : Environmental Biology, Ecology and Evolution
Entité participante : Marine Biological Association of the United Kingdom — Pays : Royaume-Uni — Rôle : PI
Acronyme de l'entité : MBA
Type d'entité : Recherche
Financement ERC de l'entité : 3110111.0 €

Climate-driven reductions in dissolved oxygen (DO) of the global ocean interior (ocean deoxygenation) is leading to expansion of permanent oxygen minimum zones (OMZ) that comprise about 7% of ocean volume. Impacts on marine animal distributions and abundance may be particularly significant for high-oxygen-demand top predators, such as warm-bodied tunas and sharks, by reducing habitat volumes as OMZs expand (habitat compression) and concentrating fish further in surface waters where they become more vulnerable to fisheries. But predictions of how exploited oceanic fish actually respond to OMZ expansions are not based on mechanistic understandings, principally because direct measurements of oxygen tolerances and associated metabolic costs have not been determined. OCEAN DEOXYFISH will bring about a step change in understanding of OMZ impacts on oceanic ecology by applying our existing expertise in animal movement studies and by developing new biologging technologies and in situ physiology for measuring oxygen tolerances and metabolism directly in free-living fish. This will enable major unknowns to be addressed concerning how oceanic fish respond physiologically and behaviourally to hypoxia, the role of OMZs in upper-trophic-level ecology, how oceanic fish habitats change with predicted OMZ expansion, and whether this will increase fish vulnerability to fishing gear. We will achieve objectives through linked field, experimental and modelling studies. By focusing on key processes underlying fish responses to DO in situ, new modelling approaches will establish effects of future warming and OMZ shoaling on fish niches and determine how these shift distributions and alter capture risk by fisheries. The project represents a discipline-spanning approach linking physiology to ecology and oceanography, with wide-ranging outcomes for understanding global biotic responses to warming and ocean deoxygenation with direct relevance to sustainable fisheries and species conservation.

Mots-clés : marine fish ecology,movement ecology,fish physiology,shark,tuna,satellite and archival tracking,respirometry,climate change,oxygen minimum zones,hypoxia,oceanography,conservation,fisheries
Projet ERC : ARTICULATE (Horizon 2020, appel 2020, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Computer science and informatics
Entité participante : Dutch Research Council — Pays : Pays-Bas — Rôle : PI
Acronyme de l'entité : NWO
Type d'entité : Recherche
Financement ERC de l'entité : 1497888.0 €

Codes and lattices are two major mathematical platforms to build quantum-resistant cryptosystems. Theose cryptosystems will soon be standardized and deployed, replacing historical solutions threatened by Shor's quantum algorithm. These new cryptosystems rely on the hardness of finding short vectors in a code or in a lattice, a computational problem called reduction. Our confidence in their security relies on the relentless effort of cryptanalysis: quantifying, elucidating and trying to invalidate such hardness assumptions. *My ERC project aims at discovering faster cryptanalytic algorithms and at building better cryptography via the development of a unified reduction theory enabling a systematic transfer of techniques between codes and lattices.* As an underpinning example for this project, I have successfully transferred the seminal LLL reduction algorithm to binary codes, an algorithm still playing a central role in the cryptanalysis of lattices. This unified theory will also lead to better mathematical and algorithmic abstractions, improve the clarity, generality, and composability of known techniques. Such qualitative enhancements will also help to obtain quantitative ones. In turn, I will implement these enhancements into open-source libraries, designed for either high-performance or ease-of-use, in order to stimulate further algorithmic exploration by the community. Beyond algorithms, my approach will also create new connections between existing mathematical theories and the hardness of code and lattice problems. For instance, it leads to consider moduli spaces as a new powerful tool for proving average-case hardness. By its contributions to both the theoretical and practical aspects of the hardness of lattice and code problems, this project will play a key role in the ongoing transition to quantum-resistant cryptography.

Mots-clés : quantum resistant cryptography,lattices,codes,computational number theory,geometry of numbers
Projet ERC : ANTSolve (Horizon 2020, appel 2017, Consolidator grants)
Domaine scientifique : Life Science
Panel : Environmental Biology, Ecology and Evolution
Entité participante : Weizmann Institute of Science — Pays : Israël — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2000000.0 €

Cognition improves an animal’s ability to tune its responses to environmental conditions. In group living animals, communication works to form a collective cognition that expands the group’s abilities beyond those of individuals. Despite much research, to date, there is little understanding of how collective cognition emerges within biological ensembles. A major obstacle towards such an understanding is the rarity of comprehensive multi-scale empirical data of these complex systems. We have demonstrated cooperative load transport by ants to be an ideal system to study the emergence of cognition. Similar to other complex cognitive systems, the ants employ high levels of emergence to achieve efficient problem solving over a large range of scenarios. Unique to this system, is its extreme amenability to experimental measurement and manipulation where internal conflicts map to forces, abstract decision making is reflected in direction changes, and future planning manifested in pheromone trails. This allows for an unprecedentedly detailed, multi-scale empirical description of the moment-to-moment unfolding of sophisticated cognitive processes. This proposal is aimed at materializing this potential to the full. We will examine the ants’ problem solving capabilities under a variety of environmental challenges. We will expose the underpinning rules on the different organizational scales, the flow of information between them, and their relative contributions to collective performance. This will allow for empirical comparisons between the ‘group’ and the ‘sum of its parts’ from which we will quantify the level of emergence in this system. Using the language of information, we will map the boundaries of this group’s collective cognition and relate them to the range of habitable environmental niches. Moreover, we will generalize these insights to formulate a new paradigm of emergence in biological groups opening new horizons in the study of cognitive processes in general.

Mots-clés : social insects,collective behaviour,collective cognition,statistical mechanics,information theory,decision making,problem solving,complex systems
Projet ERC : ATTIDA (Horizon 2020, appel 2019, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Fundamental constituents of matter
Entité participante : Technion – Israel Institute of Technology — Pays : Israël — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1690323.0 €

Coherence is a fundamental property of quantum mechanics, characterizing phase correlations of light or matter waves. It is at the heart of many physical phenomena, such as the creation of electron-hole pairs in the photovoltaic effect or the fast migration of electronic charge within a molecule. In order to study coherent electron dynamics, extremely high spatial and temporal resolving power is required, which is highly challenging. Well-established imaging methods like scanning tunneling microscopy achieve atomic-scale spatial resolution, while lacking ultrafast time resolution. At the temporal frontier, I recently bridged the gap between attosecond spectroscopy (1as = 10-18 s) and the nano-scale. The goal of my research program is to unlock the full potential of attosecond spectroscopy by achieving simultaneous spatial and temporal probing of ultrafast coherent phenomena. The proposed approach relies on the introduction of attosecond spectroscopy into scanning tunneling microscopy and electron holography. The spatial resolution of these methods is based on nano-scale needle tips, serving as local probes or as point-like electron sources. My team and I will develop attosecond temporal gates at the tips, enabling pump-probe spectroscopy. The resulting “pump” – triggering the coherent dynamics – and the “probe” – measuring its evolution – are localized in space and time, with attosecond and sub-nanometer precision. This combination will allow watching charge dynamics in a single molecule and observing multi-electron dynamics in nanostructures with atomic-scale site selectivity, as they evolve in real time. My approach has the potential to shed new light on quantum optics, plasmonics, molecular electronics, surface science and femtochemistry. In particular, my team and I will study quantum tunneling on the atomic level, charge migration in organic molecules and electron-hole dynamics in low-dimensional solid-state systems.
Projet ERC : QUSCALE (Horizon 2020, appel 2020, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Systems and communication engineering
Entité participante : Ghent University — Pays : Belgique — Rôle : Partner
Acronyme de l'entité : UGent
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 0.0 €

Coherent quantum systems are globally pursued in the race to build a compelling technology. One fast-developing approach uses high-fidelity microwave qubits. Major research efforts in academia and industry are demonstrating an elementary form of supremacy over classical technology by moving to tens and hundreds of such cryogenic qubits. However, it is currently impossible to connect the qubits well beyond a single refrigerator while preserving their fragile quantum properties – limiting their use outside the laboratory. Optical photons, with their long-distance and near-noiseless propagation along room-temperature fibers, are uniquely placed to tackle this challenge. In QUSCALE, we will realize deployable converters between microwave and optical photons. We will build chips that convert between microwave and optical quantum information. The chips will let us increase the size of emerging quantum processors and networks to a level where we can perform useful tasks beyond the reach of classical systems. To find use outside the laboratory, the converters must minimize the energy that is dissipated per converted qubit between microwaves and optics. Dissipated energy will determine whether microwave quantum processors can scale up via optics. We will achieve major reductions in the dissipated energy per converted qubit. The proposed devices will create a fundamentally new tool for physicists and engineers. They will enable a series of increasingly impactful networking tasks on the way to entanglement between distant microwave qubits, addressing an urgent need for optical interconnects between microwave quantum processors.

Mots-clés : nanophotonics,optical interconnects,silicon photonics,distributed quantum processors and networks,optomechanics,superconducting circuits,piezoelectric transducers
Projet ERC : HiggS2 (Horizon 2020, appel 2019, Consolidator grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Condensed matter physics
Entité participante : Université Grenoble Alpes — Pays : France — Rôle : Partner
Acronyme de l'entité : UGA
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 60560.0 €

Collective modes are witnesses of their underlying quantum order, such as superconductivity. Experimental observations of the collective amplitude mode of the superconducting state, named the Higgs mode due to its analogy with the high energy particle, are still scarce and controversial, despite being a fundamental outcome of the theory of superconductivity. Besides, many crucial questions remain open, like the mechanism of its observability, its mere existence in two-dimensional or unconventional superconductors, to name a few. Similarly to the Higgs boson, its detection remains a challenge for physicists. I identified a potential mechanism of observability making the Higgs mode detectable by Raman spectroscopy, based on the interplay between an adjacent quantum order and superconductivity. I propose here to unravel and investigate the full capability of this mechanism, and to develop a new framework for the quest of the Higgs mode. A first objective is to unveil the key ingredients of this observability by diversifying the type of adjacent order. A second objective is to explore the Higgs mode observability and nature in unconventional situations; in exotic superconductors and in the proximity of quantum criticality. As third objective, I change the dimensionality of the systems and investigate the Higgs mode stability in two-dimensional superconductors. I propose to monitor the detectability and nature of the Higgs mode in this careful selection of situations using advanced Raman spectroscopic techniques under extreme conditions at very low temperature, under lattice-density tuning or high magnetic field. This project will establish definitive examples of the observation and mechanism of observability of the Higgs mode in superconductors, while developing its phenomenology to address major problems at the frontier of quantum materials research, with impact beyond mere superconductivity and even condensed matter.
Projet ERC : CRC-MTOs (Horizon 2020, appel 2018, Proof of concept grants)
Entité participante : Institute for Research in Biomedicine — Pays : Espagne — Rôle : PI
Acronyme de l'entité : IRB;IRB-CERCA
Type d'entité : Recherche
Financement ERC de l'entité : 149955.0 €

Colorectal cancer (CRC) is one of the leading causes of death by cancer, which is largely associated to metastatic spread of the disease. Progress to develop efficient therapies, including immunotherapies, for patients with metastatic CRC has been hampered by the lack of preclinical models to study late stage CRC in an immunocompetent background. We have developed the first genetic mouse model of advanced CRC in immunocompetent mice. This model is based in a biobank of mouse tumor organoids (MTOs) derived from tumors arising in compound mice bearing genetic alterations in 4 driver genes associated to CRC progression: WNT, EGFR, p53, and TGF-beta signaling. We have demonstrated that these MTOs represent an invaluable tool for basic and pre-clinical research in CRC, in particular to test immunotherapies (Tauriello et al., Nature 2018). Despite its potential, the MTO biobank has limitations for translational research. They were generated as academic tools which has prevented their use in technology transfer projects and collaborations with pharmaceutical companies. In addition, they do not cover all the different CRC subtypes. We propose to create an improved and more complete second-generation MTO biobank that a) recreates the described pre-clinical model of advanced CRC, b) extends the model collection to other subsets of CRCs by means of genome editing tools and c) grants freedom to operate. These newly generated MTOs will represent unique tools ready to be licenced and exploited in strategic public-private collaborations with the final goal to aid in the development of new drugs to treat advanced CRC patients.

Mots-clés : mouse tumor organoids,pre clinical model,therapeutic testing,immunotherapies,licensing
Projet ERC : DanioPattern (Horizon 2020, appel 2015, Advanced grants)
Domaine scientifique : Life Science
Panel : Cellular, Developmental and Regenerative Biology
Entité participante : Max Planck Society — Pays : Allemagne — Rôle : PI
Acronyme de l'entité : MPG
Type d'entité : Recherche
Financement ERC de l'entité : 2250000.0 €

Colour patterns are prominent features of many animals and have important functions in communication such as camouflage, kin recognition and mate selection. Colour patterns are highly variable and evolve rapidly leading to large diversities even within a single genus. As targets for natural as well as sexual selection, they are of high evolutionary significance. The zebrafish (Danio rerio), a vertebrate model organism for the study of development and disease, displays a conspicuous pattern of alternating blue and golden stripes on the body and on the anal- and tailfins. Mutants with spectacularly altered patterns have been analysed, and novel approaches in lineage tracing have provided first insights into the cellular and molecular basis of colour patterning. These studies revealed that the mechanisms at play are novel and of fundamental interest to the biology of pattern formation. Closely related Danio species have very divergent colour patterns in body and fins offering the unique opportunity to study development and evolution of colour patterns in vertebrates building on the thorough analysis of one model species. Our research in zebrafish will explore the basis of direct interactions between chromatophores mediated by channels and junctions. We will investigate the divergent mode of stripe formation in the fins and the molecular influence of the cellular environment on chromatophore interactions. In closely related Danio species, we will investigate the cellular interactions during pattern formation. We will analyse transcriptomes and genome sequences to identify candidate genes providing the molecular basis for pigment pattern diversity. These candidate genes will be tested by creating mutants and exchanging allelic variants using the CRISPR/Cas9 system. The work will lay the foundation to understand not only the genetic basis of variation in colour pattern formation between Danio species, but also the evolution of biodiversity in other vertebrates.

Mots-clés : danio species,zebrafish,biodiversity,pigmentation,chromatophore,melanophore,cell cell,interaction
Projet ERC : CC (Horizon 2020, appel 2014, Consolidator grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Mathematics
Entité participante : University of Oxford — Pays : Royaume-Uni — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1706729.0 €

Combinatorial Construction is a mathematical challenge with many applications. Examples include the construction of networks that are very sparse but highly connected, or codes that can correct many transmission errors with little overhead in communication costs. For a general class of combinatorial objects, and some desirable property, the fundamental question in Combinatorial Construction is to demonstrate the existence of an object with the property, preferably via an explicit algorithmic construction. Thus it is ubiquitous in Computer Science, including applications to expanders, sorting networks, distributed communication, data storage, codes, cryptography and derandomisation. In popular culture it appears as the unsolved `lottery problem' of determining the minimum number of tickets that guarantee a prize. In a recent preprint I prove the Existence Conjecture for combinatorial designs, via a new method of Randomised Algebraic Constructions; this result has already attracted considerable attention in the mathematical community. The significance is not only in the solution of a problem posed by Steiner in 1852, but also in the discovery of a powerful new method, that promises to have many further applications in Combinatorics, and more widely in Mathematics and Theoretical Computer Science. I am now poised to resolve many other problems of combinatorial construction.
Projet ERC : EXTPRO (Horizon 2020, appel 2014, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Mathematics
Entité participante : Tel Aviv University — Pays : Israël — Rôle : PI
Acronyme de l'entité : TAU
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1221921.0 €

Combinatorics is an extremely fast growing mathematical discipline. While it started as a collection of isolated problems that were tackled using ad-hoc arguments it has since grown into a mature discipline which both incorporated into it deep tools from other mathematical areas, and has also found applications in other mathematical areas such as Additive Number Theory, Theoretical Computer Science, Computational Biology and Information Theory. The PI will work on a variety of problems in Extremal Combinatorics which is one of the most active subareas within Combinatorics with spectacular recent developments. A typical problem in this area asks to minimize (or maximize) a certain parameter attached to a discrete structure given several other constrains. One of the most powerful tools used in attacking problems in this area uses the so called Structure vs Randomness phenomenon. This roughly means that any {\em deterministic} object can be partitioned into smaller quasi-random objects, that is, objects that have properties we expect to find in truly random ones. The PI has already made significant contributions in this area and our goal in this proposal is to obtain further results of this caliber by tackling some of the hardest open problems at the forefront of current research. Some of these problems are related to the celebrated Hypergraph and Arithmetic Regularity Lemmas, to Super-saturation problems in Additive Combinatorics and Graph Theory, to problems in Ramsey Theory, as well as to applications of Extremal Combinatorics to problems in Theoretical Computer Science. Another major goal of this proposal is to develop new approaches and techniques for tackling problems in Extremal Combinatorics. The support by means of a 5-year research grant will enable the PI to further establish himself as a leading researcher in Extremal Combinatorics and to build a vibrant research group in Extremal Combinatorics.

Mots-clés : graph theory,extremal combinatorics,regularity lemma,quasi randomness,property testing,graph decomposition,ramsey theory