Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : MIDRASH (Horizon Europe, appel 2022, Synergy grants)
Entité participante : Université de Haïfa — Pays : Israël — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 330625.0 €

MIDRASH aims to construct a groundbreaking interdisciplinary methodology for a global approach to the study of the treasure trove of medieval literary manuscripts in Hebrew script. Jews produced and consumed a prodigious cornucopia of texts in Hebrew, Aramaic, Judeo-Arabic and other vernacular languages, intertextually closely related like a mille feuille. The manuscripts constitute the unique remains of medieval Jewish literary culture, having survived - and witnessing to - centuries of migrations, persecutions and censorship. With the recent digitization of the extant manuscripts and with contemporary advances in computer vision, natural language processing and machine learning, the time is ripe for broad new studies into this manuscript culture. We can now study questions regarding their materiality, textuality, transmission and historical contexts on an unprecedented scale or heretofore beyond reach.  MIDRASH proposes a pioneering study of the extensive corpora of: (1) biblical manuscripts; (2) Midrash (late antique exegetical and homiletical commentary on the Bible); (3) medieval commentaries of the Bible and Mishnah; and (4) liturgical manuscripts. Only a small fraction have been transcribed, let alone studied. State-of-the-art and bespoke algorithms will be applied to resolve issues of reading order, code switching, and transcription errors. Once mechanically transcribed, known and unknown works will be identified and reconstructed and multilingual intertextualities discerned. The latest fine-grained paleographical techniques and trained neural networks will be brought to bear on questions of provenance and transmission. Philological methods and computational linguistics will be applied to questions of textual fluidity and evolution to further our knowledge of the production and transmission of Hebrew manuscripts and texts, their authors, scribes and readers, and enhance their role as the pivotal aspect of European and Mediterranean intellectual history.

Mots-clés : hebrew manuscripts,document analysis,nlp,computer vision,midrash
Projet ERC : PSINumScat (Horizon Europe, appel 2024, Synergy grants)
Entité participante : Université de Bath — Pays : Royaume-Uni — Rôle : CO-PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 3060223.0 €

Designing fast and reliable algorithms to numerically simulate the behaviour of high-frequency acoustic and electromagnetic waves is a longstanding open problem in computational mathematics. Furthermore, these waves underpin a plethora of communication and imaging technologies; therefore any progress towards solving this problem will have wide impact.  The project aims to design, analyse, and implement in open-source software new methods for the numerical solution of high-frequency acoustic and electromagnetic wave scattering problems. These methods will be faster, more reliable, and more widely applicable than current state-of-the-art methods, with this improvement achieved by exploiting techniques from pure mathematics specifically designed to study high-frequency problems; these techniques are from the area of semiclassical analysis and are based on studying functions in phase space (the combination of physical and frequency space). Since both numerical analysis and semiclassical analysis of high-frequency wave scattering problems are mature areas of mathematics, it is surprising that these two fields have operated largely in isolation from each other, with essentially none of the deep insights about high-frequency waves from semiclassical analysis used in the design of numerical methods for these problems. This project will exploit this untapped potential and implement the resulting methods in the open-source multiphysics finite-element software FreeFEM (https://freefem.org/) in easy-to-use packages. These packages will be designed for researchers in the applied sciences and industry seeking to simulate the behaviour of high-frequency acoustic and electromagnetic waves.  These goals will be achieved by combining the expertise of the three PIs: JG, an expert in semiclassical analysis, ES, an expert in the numerical analysis of high-frequency scattering, and PT, an expert in scientific computing and the lead developer of FreeFEM.

Mots-clés : high frequency,scattering,helmholtz,maxwell,finite element method,boundary element method,domain decomposition
Projet ERC : DELTA-LANG (Horizon Europe, appel 2023, Synergy grants)
Entité participante : University Medical Center Groningen — Pays : Pays-Bas — Rôle : Partner
Acronyme de l'entité : UMCG
Type d'entité : Organismes privés (hors enseignement)
Financement ERC de l'entité : 156985.0 €

Mental life fluctuates, changing from moment to moment as the incessant and turbulent flow of thought rages. In 3% of the world’s population, the fragile equilibrium that we all hope to maintain gives way to dynamical changes resulting in psychotic episodes, which after remission tend to recur over time. A capacity to predict them at a clinically relevant temporal resolution, similar to our capacity to forecast a thunderstorm, would be a major advance in public health, with the important difference that, unlike thunderstorms, psychosis can be prevented. We test a previously untested and untestable hypothesis: that meaning encoded in spontaneous speech, translated into digitalized quantitative features, computationally analyzed with natural language processing (NLP) tools, can serve as a key personalized and interpretable predictor of phase transitions from remission to psychotic relapse. Addressing this hypothesis requires conceptual and methodological breakthroughs in our understanding of language and what signals its variability can carry for a pathophysiological process. We pursue these with a synergetic combination of linguistic, neuroimaging, psychiatric, and e-health insights. Using a hypothesis-driven approach we will (i) define generalizable language metrics relating to symptom variability cross-sectionally; (ii) identify individually-specific neural signatures of psychosis and remission related to changes in these linguistic metrics, using a dense-sampling approach; (iii) test the metrics retrospectively as predictors of relapse in an independent longitudinal cohort; and (iv) take the paradigm from the lab to the patient’s home in a prospective clinical study testing whether we can predict state change before it is catastrophic, at the temporal resolutions clinically required. DELTA-LANG (ΔLANG) thereby identifies the delta of language – a linguistic change that enables the prediction of clinically significant change, before it occurs.

Mots-clés : language,speech,psychosis,relapse,fmri,clinical decision support system,thought disorder
Projet ERC : BlackHolistic (Horizon Europe, appel 2022, Synergy grants)
Entité participante : Université d'Amsterdam — Pays : Pays-Bas — Rôle : PI
Acronyme de l'entité : UvA
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2979590.0 €

Black holes (BHs) are icons of the fundamental nature of gravity, the mysterious force shaping the Universe. They are also the Universe’s most efficient power houses, turning infalling gas into energy and outflows that, together with gravity, mould galaxies and thus ultimately stars and planets. The first image of a black hole by the Event Horizon Telescope (EHT), wherein we played a leading role, captured the imagination of scientists and the public alike. This picture of the immutable black hole is however blurred by the dynamic, still mysterious behaviour of the surrounding gas. Our limited understanding of these turbulent, magnetised plasma in/outflows, producing the radiation and high-energy particles we observe, obstructs a straightforward interpretation of the black hole image for testing theories of gravity. The challenge in understanding the astrophysics of black holes and their impact on the cosmos is that they span >8 orders of magnitude in mass, size and timescales, and emit light over 15 orders of magnitude in frequency. Our new approach overcomes this scale separation, by simultaneously addressing the dynamics of large and small black holes, in colour. We produce for the first time high-resolution multi-colour movies with the EHT combined with new telescopes probing the variable extremes of the electromagnetic spectrum (e.g., CTA, MeerKAT/SKA1). The data are analysed and interpreted with innovative models finally combining micro- and macrophysics. The PIs bring together complementary expertise over the entire black hole mass scale in radio imaging and multi-wavelength monitoring, astroparticle physics, and theoretical modelling to bear on the problem. This is accompanied by four major investments: construction of a new mm-wave telescope in Africa enabling full dynamical imaging of black holes with the EHT, new model development, supercomputing hardware, and a vibrant team of young scientists to help develop a new, truly universal black hole paradigm.

Mots-clés : black holes,event horizon telescope,radio astronomy,vlbi,grmhd simulations
Projet ERC : ADDI (Horizon Europe, appel 2024, Synergy grants)
Entité participante : Université d'Amsterdam — Pays : Pays-Bas — Rôle : PI
Acronyme de l'entité : UvA
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2396032.5 €

The Advancing Digital Democratic Innovation (ADDI) project will pioneer the study of digitally augmented forms of civic participation for preference formation and elicitation. While digital technology has, for some time now, been widely seen as being in direct conflict with the needs of a well-functioning democracy, ADDI will realise the true potential of digital technologies in the democratic space. The project will be led by four well-known researchers with expertise in participatory platform design, deliberative democracy, and computational social choice. It will be organised around three methodological pillars - technology, empirics, and theory - and it will serve three core objectives: designing technologies and procedures for citizen deliberation and participation; experimentally testing the impact of digital platforms in deliberative and participatory forums; and understanding the structure of the preferences collected through digitally augmented instances of civic participation and deliberation. The technology track will lead the creation of interventions in the form of open-source platforms designed to digitally augment deliberation and participation. The empirical track will test these interventions using randomised trials in deliberative and participatory forums and will explore the statistical patterns of the preferences elicited in them. The theoretical track, finally, will contribute conceptual and algorithmic tools to elicit, present, and combine preferences in real-world environments, including situations where participants provide incomplete preferences and that involve under-represented minorities. At the end of the project, we will have charted the potential of digital technologies in supporting and improving democratic practices, while also providing a robust suite of scientifically validated open-source tools designed to distribute these capabilities at a global scale.

Mots-clés : computational social choice,collective intelligence,collective will formation
Projet ERC : EPIC (Horizon Europe, appel 2023, Synergy grants)
Entité participante : Vlaams Instituut voor Biotechnologie — Pays : Belgique — Rôle : CO-PI
Acronyme de l'entité : VIB
Type d'entité : Recherche
Financement ERC de l'entité : 3530022.0 €

Genomes encode instructions for cells to regulate gene activity in response to their environment. However, and despite its importance for biology, medicine and biotechnology, the underpinning regulatory code remains undeciphered. Gene regulation consists of two major steps. First, genes are transcribed into mRNA. Second, post-transcriptional mechanisms regulate mRNA stability and the rate at which it is translated into proteins. This second step of gene regulation is still poorly understood because relevant parameters such as mRNA half-life, mRNA protein binding and subcellular localization are difficult to assay. The lack of understanding of post-transcriptional regulation implies that we still do not have a complete picture of the regulatory code. In EPIC, we exploit the advantages of the model eukaryote Saccharomyces cerevisiae and other species covering a broad evolutionary range to derive the first comprehensive sequence-based model of eukaryotic gene regulation. EPIC integrates the complementary expertise of 3 teams. It combines innovative high-throughput technologies (Pelechano) to probe post-transcriptional regulation at an unprecedented scale across a broad range of species and conditions with synthetic biology to massively test regulatory sequences (Verstrepen). Deep learning on these data allows us to build predictive models and unravel complex regulatory instructions (Gagneur). Ultimately, EPIC will enable us to decipher the actual language of gene regulation and facilitate (re)writing genomes. EPIC will enable understanding and predicting regulation, and ultimately phenotype, from DNA, closing a major gap in basic biology, while also opening exciting avenues for applications in biotechnology and medicine, from pinpointing disease-causing mutations to rational design of genes, RNAs and cells.

Mots-clés : post transcriptional regulation deep learning rna biology yeast microbiology synthetic biology
Projet ERC : TalkingPhages (Horizon Europe, appel 2023, Synergy grants)
Entité participante : Imperial College London — Pays : Royaume-Uni — Rôle : PI
Acronyme de l'entité : ICL
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2996607.0 €

Communication between organisms is one of the most sophisticated forms of social interactions. It has been recently discovered that bacterial viruses (phages) show multiple social attributes including the ability to communicate extracellularly with their progenies through a peptide-based system called arbitrium. This system is utilized by phages to guide life-cycle decisions, such as the transitions between their quiescence and virulence states. It has subsequently become clear that this system is not exclusive to phages but is also present in other mobile genetic elements (MGEs) and that its underlying design and function has diversified considerably. Despite the wide-ranging impact of these discoveries, the molecular basis of these new systems of communication, and their function in different MGEs, remain to be deciphered. More importantly, although it has been proposed that phages only communicate with their progeny, our preliminary results indicate that the arbitrium system can be used by phages and other elements to communicate with unrelated MGEs, sometimes present in different bacterial species. However, the prevalence and ecological role of this unprecedented inter-MGE communication is unclear. In the TalkingPhages project, we’ll explore all these questions and establish the molecular basis used by arbitrium systems to shape MGE diversity, interactions amongst MGEs and bacterial ecology and evolution. Our team combines expertise in MGEs and communication systems using tools from genetics (Penadés), biochemistry (Marina) and eco-evolutionary dynamics (Eldar). By exposing the multi-layered network of communications between MGEs, which is amenable for exploration on multiple levels of resolution, this project would set a milestone in understanding the complex eco-evolutionary dynamics of MGEs and the relevance of their sociality, with potential impact on our understanding of virulence and resistance in clinically and agriculturally important bacterial species.

Mots-clés : bacteria,phages,mobile genetic elements,quorum sensing,communication,evolution,ecology,molecular biology,bacillus,arbitrium,cooperation
Projet ERC : VASC-IMMUNE (Horizon Europe, appel 2024, Synergy grants)
Entité participante : Université d'Uppsala — Pays : Suède — Rôle : CO-PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 6290000.0 €

In this ERC Synergy Grant, we will characterize the vascular-immune interface in melanoma and glioblastoma and explore the perivascular niche as a site for local anti-tumor immune activation. Cancer immunotherapy has made tremendous progress in the last two decades, but a vast majority of cancer patients do not benefit from this progress yet. Refinement of established immunotherapies will undoubtedly increase response rates. However, conceptually brave new therapies must be developed to make additional breakthroughs. The tumor vasculature plays a key role in orchestrating anti-tumor immunity by regulating recruitment and activation of T-cell and other immune cells. We propose to make a detailed characterization of vascular immune landscapes in melanoma and glioblastoma and to utilize this to optimize vascular-immune crosstalk and immune response as a new breakthrough immunotherapy. This proposal builds upon new knowledge on how immune hubs can form around tumor vasculature, which to a large part is based upon novel findings and development by the applicants (1, 2) on the importance of perivascular antigen-presenting niches in activating, sustaining, and executing CD8 and CD4 T-cell-mediated immune attacks on cancer. We will develop tumor vessel targeting AAV vectors that can enable therapeutic induction of immune hubs in cancer. This new form of immunotherapy will be evaluated alone and in combination with established cancer immunotherapies. Combined, our research teams are in a unique position to achieve this goal. Synergistic advancements will be obtained by joining Dimberg’s expertise in the vascular and immune microenvironment in tumors (especially glioblastoma); Tüting’s expertise in tumor immunology and cell plasticity (especially melanoma); and Essand’s expertise in translational gene therapy and cancer immunotherapy. The project is timely, and if successful can bring immunotherapy to the next level, rendering new hope to millions of cancer patients.

Mots-clés : tertiary lymphoid structures,antigen presenting niches,high endothelial venules,stem like t cells,glioblastoma,melanoma,tumor vascular biology,tumor immunology,cancer immunotherapy,aav therapy,mouse models
Projet ERC : SHAPINCELLFATE (Horizon Europe, appel 2022, Synergy grants)
Entité participante : Université de Milan — Pays : Italie — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1807195.75 €

Cells are often depicted as irregular spherical objects - the shape they adopt in suspension. However, the packed environment of tissues alters this simple shape, causing large cell deformations. This occurs during normal tissue growth and is even more pronounced upon tissue overgrowth, as in the case of solid tumors. Cell shape changes frequently occur in migratory cells, such as immune cells that patrol the organism within interstitial tissues, and cancer metastases that escape from the primary tumor to invade healthy tissues. In all cases, cells adapt and survive even to very large deformations. The mechanisms underlying such response and the long-term consequences that repeated cell shape changes have on physiology and pathology remain largely unknown. We have observed that changes in the shape of cells and organelle(s) induce reversible and irreversible modifications in their behaviour and function(s). We hypothesize that cells use such mechanisms to integrate the successive deformations of distinct amplitudes and durations that they experience during their lifetime. This implies the existence of “shape-induced memory effects” that not only encode the geometrical and mechanical history of the cell but also dictate its fate. Here, we propose to tackle the molecular mechanisms and physical principles accounting for shape-induced memory effects and to evaluate their impact on immunity and cancer. We will focus on two cell types that undergo large shape changes in vivo, and communicate to establish cancer immunity: (1) dendritic cells, which initiate adaptive immune responses, and (2) cancer cells derived from mammary epithelia. Our project will reveal whether boundary conditions imposed by physical confinement are overarching determinants of cellular behaviours at different spatial and temporal scales, and may further establish novel clinical paths for a holistic understanding of early malignancies and their recognition by the immune system.

Mots-clés : cell shape,cell deformation,organelle deformation,signaling pathways,dendritic cells,cancer cells,physical modeling
Projet ERC : MiniLife (Horizon Europe, appel 2023, Synergy grants)
Entité participante : École supérieure de physique et de chimie industrielles de la ville de Paris — Pays : France — Rôle : PI
Acronyme de l'entité : ESPCI PARIS-PSL
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 3988525.0 €

The de novo creation of living systems is a long-standing dream of humanity. To realise this dream, we need a clear conceptualisation of the goal and the experimental means to put it to practice. We think now, time is ripe to make a serious attempt. There is emerging consensus that a minimal living system should be out-of-equilibrium and self-sustaining, have metabolism, an inheritance system, a boundary to keep the constituents together and that a population of such systems should be able to undergo Darwinian evolution. The aim of this proposal is to develop, for the first time, synthetic chemical systems with all of these features. Due to its very nature MiniLife is standing on two, equally strong feet: chemistry and biology. The strongest link between them is autocatalysis, which allows reproduction. Our approach to creating the first artificial chemical living system takes the following steps: (1) Identification of new, and development of existing, autocatalytic (super)systems that function as chemical (and informational) replicators. (2) Coupling of metabolism with chemical replicators. (3) Coupling of autocatalysis to compartment growth and division. (4) Synthesis of a chemical supersystem comprising all three components (replication, metabolism and compartmentalisation). (5) Demonstrating minimal Darwinian evolution upon subjecting the systems synthesized in 1-3 to out-of-equilibrium selection regimes. (6) Approaching a minimal living system by enhancing of the evolvability of the triple systems developed in 4. We have assembled a strong consortium that brings together PIs of previous ERC Advanced Grants in three key areas to be integrated: Ashkenasy and Otto bring expertise in synthetic chemical self-replicating systems; Griffiths brings expertise on compartmentalisation using microfluidics, and Szathmáry is a leading expert on theory of replicator evolution and computational modelling. Success would constitute a landmark achievement in basic science.

Mots-clés : systems chemistry evolvability autocatalysis infrabiological systems microfluidics error threshold reaction network