Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : SHIVADHARMA (Horizon 2020, appel 2018, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The study of the human past
Entité participante : University of Naples - L'Orientale — Pays : Italie — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1174788.75 €

This project aims at examining the impact of the spread of the Śaiva religion on the formation of regional religious identities in South Asia from the Middle Ages to premodern times. In order to tackle this issue, the Principal Investigator and her team will examine the historical evidence connected with a still little studied but highly influential tradition of Sanskrit texts collectively called “Śivadharma” (= “Śaiva Religion”), which have been transmitted in some of the most representative regions of South Asia to exhibit the continuing influence of Śavisim. The impact of this literature can be traced in multiple literary, epigraphical and iconographic sources, making it particularly suitable for a multidisciplinary study in which the analysis and edition of texts goes hand in hand with that of the inscriptions and archaeological context. The regions that will be considered for this project are: Nepal, the Deccan area (with connections to the Andhra coast), the northeastern area of the Bay of Bengal (present-day West Bengal and Odisha), Tamil Nadu and Kerala. The Śivadharma texts, composed around the 6th to 7th century, are mostly related to the institutional and cultural facets of lay religion, thus offering access to information on the material and practical aspects of Śaivism at a time corresponding to its rise to monarchical patronage in South and Southeast Asia. The main focus of the team’s research will be on the process of how these texts were adapted to the different regional contexts in which they are transmitted, as well as the assessment of the impact that their knowledge had on the formation of local Śaivism. We will thus study the manuscript transmission of the texts, along with the texts themselves in their regional variants; translations and commentaries on the texts in Sanskrit and Dravidian languages; and the inscriptions and icons of religious centers that are linked to the texts and the religious current sponsoring them.

Mots-clés : south asian history,religious traditions from south asia,sanskrit and dravidian studies
Projet ERC : SHIVADHARMA (Horizon 2020, appel 2018, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The study of the human past
Entité participante : École française d'Extrême-Orient — Pays : France — Rôle : Partner
Acronyme de l'entité : EFEO
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 172500.0 €

This project aims at examining the impact of the spread of the Śaiva religion on the formation of regional religious identities in South Asia from the Middle Ages to premodern times. In order to tackle this issue, the Principal Investigator and her team will examine the historical evidence connected with a still little studied but highly influential tradition of Sanskrit texts collectively called “Śivadharma” (= “Śaiva Religion”), which have been transmitted in some of the most representative regions of South Asia to exhibit the continuing influence of Śavisim. The impact of this literature can be traced in multiple literary, epigraphical and iconographic sources, making it particularly suitable for a multidisciplinary study in which the analysis and edition of texts goes hand in hand with that of the inscriptions and archaeological context. The regions that will be considered for this project are: Nepal, the Deccan area (with connections to the Andhra coast), the northeastern area of the Bay of Bengal (present-day West Bengal and Odisha), Tamil Nadu and Kerala. The Śivadharma texts, composed around the 6th to 7th century, are mostly related to the institutional and cultural facets of lay religion, thus offering access to information on the material and practical aspects of Śaivism at a time corresponding to its rise to monarchical patronage in South and Southeast Asia. The main focus of the team’s research will be on the process of how these texts were adapted to the different regional contexts in which they are transmitted, as well as the assessment of the impact that their knowledge had on the formation of local Śaivism. We will thus study the manuscript transmission of the texts, along with the texts themselves in their regional variants; translations and commentaries on the texts in Sanskrit and Dravidian languages; and the inscriptions and icons of religious centers that are linked to the texts and the religious current sponsoring them.

Mots-clés : south asian history,religious traditions from south asia,sanskrit and dravidian studies
Projet ERC : DYCON (Horizon 2020, appel 2015, Advanced grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Mathematics
Entité participante : Autonomous University of Madrid — Pays : Espagne — Rôle : Partner
Acronyme de l'entité : UAM
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 444285.0 €

This project aims at making a breakthrough contribution in the broad area of Control of Partial Differential Equations (PDE) and their numerical approximation methods by addressing key unsolved issues appearing systematically in real-life applications. To this end, we pursue three objectives: 1) to contribute with new key theoretical methods and results, 2) to develop the corresponding numerical tools, and 3) to build up new computational software, the DYCON-COMP computational platform, thereby bridging the gap to applications. The field of PDEs, together with numerical approximation and simulation methods and control theory, have evolved significantly in the last decades in a cross-fertilization process, to address the challenging demands of industrial and cross-disciplinary applications such as, for instance, the management of natural resources, meteorology, aeronautics, oil industry, biomedicine, human and animal collective behaviour, etc. Despite these efforts, some of the key issues still remain unsolved, either because of a lack of analytical understanding, of the absence of efficient numerical solvers, or of a combination of both. This project identifies and focuses on six key topics that play a central role in most of the processes arising in applications, but which are still poorly understood: control of parameter dependent problems; long time horizon control; control under constraints; inverse design of time-irreversible models; memory models and hybrid PDE/ODE models, and finite versus infinite-dimensional dynamical systems. These topics cannot be handled by superposing the state of the art in the various disciplines, due to the unexpected interactive phenomena that may emerge, for instance, in the fine numerical approximation of control problems. The coordinated and focused effort that we aim at developing is timely and much needed in order to solve these issues and bridge the gap from modelling to control, computer simulations and applications.

Mots-clés : partial differential equations,dynamic control,numerical approximation,long time horizon,parameter dependence,constraints,inverse design,shocks,finite versus infinite dimensions,memory models
Projet ERC : CiliaTubulinCode (Horizon 2020, appel 2018, Consolidator grants)
Domaine scientifique : Life Science
Panel : Molecules of Life: Biological Mechanisms, Structures and Functions
Entité participante : Human Technopole — Pays : Italie — Rôle : PI
Acronyme de l'entité : HT
Type d'entité : Recherche
Financement ERC de l'entité : 1355537.5 €

This project aims at understanding of the role of the tubulin code for self-organization of complex microtubule based structures. Cilia turn out to be the ideal structures for the proposed research. A cilium is a sophisticated cellular machine that self-organizes from many protein complexes. It plays motility, sensory, and signaling roles in most eukaryotic cells, and its malfunction causes pathologies. The assembly of the cilium requires intraflagellar transport (IFT), a specialized bidirectional motility process that is mediated by adaptor proteins and direction specific molecular motors. Work from my lab shows that anterograde and retrograde IFT make exclusive use of the B-tubules and A-tubules, respectively. This insight answered a long standing question and shows that functional differentiation of tubules exists and is important for IFT. Tubulin post-translational modifications (PTMs) contribute to a tubulin code, making microtubules suitable for specific functions. Mutation of tubulin-PTM enzymes can have dramatic effects on cilia function and assembly. However, we do not understand of the role of tubulin-PTMs in cilia. Therefore, I propose to address the hypotheses that the tubulin code contributes to regulating bidirectional IFT motility, and more generally, that the tubulin code is a key player in structuring complex cellular assembly processes in space and time. This proposal aims at (i) understanding if tubulin-PTMs are necessary and/or sufficient to regulate the bidirectionality of IFT (ii) examining how the tubulin code regulates the assembly of cilia and (iii) generating a high-resolution atlas of tubulin-PTMs and their respective enzymes. We will combine advanced techniques encompassing state-of-the-art cryo-electron tomography, biochemical imaging, fluorescent microscopy, and in vitro assays to achieve molecular and structural understanding of the role of the tubulin code in the self-organization of cilia and of microtubule based cellular structures.
Projet ERC : TENSORNETSIM (Horizon 2020, appel 2015, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Fundamental constituents of matter
Entité participante : University of Amsterdam — Pays : Pays-Bas — Rôle : PI
Acronyme de l'entité : UvA
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1499909.0 €

This project aims to achieve ground-breaking advances in the biggest challenge in computational condensed matter physics: the accurate simulation of strongly correlated systems (SCS), which give rise to fascinating phenomena such as high-Tc superconductivity (HTSC), quantum spin liquids with topological order, and other exotic phases of matter. While for one-dimensional (1D) systems tremendous progress has been made thanks to the famous density-matrix renormalization group (DMRG) method, in higher dimensions accurate methods have been lacking for many years. Recently, I achieved several major breakthroughs with tensor network methods, which can be seen as an extension of DMRG to higher dimensions. I was able to show that these methods outperform previous state-of-the-art approaches for several challenging models, making it clear that these methods will play a pivotal role in understanding SCS in 2D, in the same way as DMRG has revolutionized the study of 1D systems. The goal of this project is to build upon these breakthroughs and to develop the next generation of tensor network methods to simulate relevant open problems in SCS with an unprecedented accuracy, in order to make substantial progress in understanding the physics of these systems. Milestones of this project include: - development and improvement of 2D tensor network methods for finite temperature simulations, the computation of excitation spectra, and the classification of topological states, and pioneering work with tensor networks for 3D systems - accurate simulation of the 2D Hubbard model to answer the longstanding question if it captures the essential features of HTSC - study of extended Hubbard models to understand which ingredients are really essential for HTSC - prediction of novel phases of matter in SU(N) systems, relevant for experiments on ultra-cold atoms in optical lattices - cutting-edge simulations for the quantitative understanding of 2D and 3D frustrated materials

Mots-clés : computational physics,tensor network algorithms,density matrix renormalization group,quantum many body systems,frustrated magnetism,high temperature superconductivity,hubbard model
Projet ERC : MicroContact (Horizon 2020, appel 2015, Consolidator grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : Utrecht University — Pays : Pays-Bas — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1996250.0 €

This project aims to add an important block to syntactic theory, by developing new theoretical tools to account for microvariation and change. The central idea is that change and microvariation are necessary parts of grammar, and that they are in fact constrained by Universal Grammar (Chomsky 1957 ff.); in order to understand them we need not focus on the starting point and endpoint of change only, but also on the process itself. Observing change in progress can offer insights into its causes and the mechanisms underlying it. We aim at getting snapshots of change in progress by examining endogenous, diachronic change and change in contact for a number of genetically and typologically related varieties. Between the end of the 19th c. and the 1920s, many Italians migrated to the Americas. After World War II, a third wave of migration took place: around 400.000 people left Italy between 1950-1960. Interestingly, most of these Italians did not speak Italian as their native language: they all spoke some “dialect”. With this term we traditionally refer to those Romance languages spoken in Italy that evolved from Latin, and are sister languages to standard Italian. When these immigrants moved across the Atlantic, their languages entered in contact with other Romance varieties, like Argentinian Spanish, Brazilian Portuguese, or Québécois French, as well as with English. The languages spoken by these 1st generation immigrants, who are now very old, are extremely important, as they potentially give a unique window into the mechanisms of language change in general, and of syntactic change in particular.

Mots-clés : microvariation,language variation,syntactic theory,language change,diachrony,italian dialects
Projet ERC : SEEVCA (Horizon 2020, appel 2015, Proof of concept grants)
Entité participante : Newcastle University — Pays : Royaume-Uni — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 149860.0 €

This project aims to commercialise Self-Enforcing E-Voting (SEEV), a new paradigm of verifiable e-voting technologies without involving any trusted tallying authorities (invented under the ERC starting grant No. 106591), for classroom voting and related applications. A prototype of a Verifiable Classroom Voting (VCV) system, based on the SEEV technology, has been developed by the PI's team at Newcastle University, and in the past two years has been successfully trialled in real classroom teaching within the campus with very positive student feedbacks. With the funding support from this Proof of Concept project, we plan to extend this VCV prototype to make it commercially available to all universities and schools, with basic user accounts provided for free, while premium user accounts will be available for a fee but bundled with dedicated support and more computing resources. Additional revenues include advertisements and professional services (which provide customized VCV to companies, organizations and governments for various voting applications). The received revenues will be used to maintain/upgrade the system, sustain the growth in users and cover the cost of creating and protecting the IPR on SEEV (several potentially patentable developments on SEEV are being made in the ERC project). Although the focus of this proposal is on classroom voting and similar small-scale elections, the underlying SEEV technology is also applicable to large-scale elections. It has the promising potential to address many security defects in today's (unverifiable) e-voting products that have been widely used many democratic countries (e.g., USA, Brazil and India). The IPR created during the course of this project will serve our long-term goal of commercialising SEEV for large-scale national elections and enhancing worldwide democracy in a digital age.

Mots-clés : classroom voting,pedagogy,verifiable voting,democratic elections
Projet ERC : DIA (Horizon 2020, appel 2018, Consolidator grants)
Domaine scientifique : Social Sciences and Humanities
Panel : Individuals, Markets and Organisations
Entité participante : University of Zurich — Pays : Suisse — Rôle : PI
Acronyme de l'entité : UZH
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1433280.63 €

This project aims to improve our understanding of deep integration agreements, which have generated an extraordinary amount of controversy in recent years. Unlike ordinary trade agreements, deep integration agreements do not just focus on reducing tariff barriers but seek to achieve much broader economic integration. Prominent examples include the Transatlantic Trade and Investment Partnership (TTIP) negotiated between the EU and the US and the Comprehensive Economic and Trade Agreement (CETA) negotiated between the EU and Canada. I proceed in three complementary parts, focusing on the most controversial deep integration issues. In a first part, I consider provisions regarding investor protection including the Investor-State Dispute Settlement System. My ambition is to provide a comprehensive theoretical treatment of international investment agreements, which sheds light on their fundamental purpose and assesses their real-world design. In a second part, I turn to efforts towards regulatory cooperation such as CETA’s Regulatory Cooperation Forum. Here, my goal is again to provide a broad theoretical analysis, which identifies the scope for regulatory cooperation and makes suggestions for their real-world design. In a third part, I study intellectual property rights protection, specifically the agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS). In particular, I propose to take a canonical model of intellectual property rights agreements to the data and quantitatively assess the efficiency and equity implications of TRIPS.

Mots-clés : trade policy
Projet ERC : 2shRNA (Horizon 2020, appel 2018, Proof of concept grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Physical and analytical chemical sciences
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 : 150000.0 €

This project aims to optimize and validate a promising therapeutic tool for combined cancer therapy, 2shRNA, in an ex vivo model system. Combined therapies are of great significance nowadays, due to their key role in fighting, for instances, resistance processes during cancer treatment. Nonetheless, the drug combinations approved to date face several problems, such as cooperative toxicity effects, lack of efficiency and poor bioavailability. We have designed and synthesized 2shRNA, a new bifunctional RNA tool that can simultaneously attack two therapeutic targets involved in drug resistance pathways, and that can additionally bind other molecules such as peptide carriers or fluorophores, to improve delivery and efficacy. The 2shRNA nanostructure displayed low toxicity and excellent anti-proliferative properties in resistant HER2+ breast cancer cell lines. The present proposal is aimed at optimizing and validating this novel and promising RNA tool by combining state-of-the-art bioinformatics design and cycles of chemical refinement with biological evaluation in PDx-derived primary cell cultures and biodistribution studies in PDx mouse models. The proposed strategy presents a novel therapeutic approach with great potential to circumvent drug resistance in breast cancer, which is a major health challenge for our society. The ability of our biostable RNA tool to administer two drugs in a single dose could improve the quality of life of the patients, as fewer doses might be needed to stall disease progression.

Mots-clés : combined therapy,breast cancer,bifunctional shrna,network medicine,rna synthesis,biostability,peptide carrier,selective delivery,biological evaluation,ex vivo,pdx derived primary cultures
Projet ERC : UrbanOccupationsOETR (Horizon 2020, appel 2015, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The study of the human past
Entité participante : University of Glasgow — Pays : Royaume-Uni — Rôle : Partner
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 56250.0 €

This project aims to overcome historiographical and disciplinary limitations in social and economic history, historical geography and urban studies for the Ottoman Empire and the Republic of Turkey. The chosen long-term Ottoman/Turkish perspective is intended to facilitate comparative approaches so as to overcome the limitations of national historiographies. By extending the analysis up to 2000 the project also challenges the disciplinary divide between economic history, economics and urban studies in research on Turkey. To pursue these multiple goals the project will adopt both an inter-disciplinary approach and a comparative perspective. Throughout the project the focus will be on the dynamics of industrialisation, urbanisation and their accompanying changes in occupational structures and residential and migration patterns. To be able to contextualise and compare changes in occupational structure and urban growth trajectories across time and space, solid and detailed datasets of occupational structure and historical demographics for a very large part of the Ottoman Empire in the 19th century and for the entire Turkey in the 20th century will be constructed. This project is an attempt at bringing Ottoman/Turkish history into the newly emerging field of digital humanities. It will use advanced techniques of spatial data and multiple correspondence analysis in conjuncture to answer long debated research questions and to formulate and work on new ones by taking an unprecedented step forward toward establishing a digital research infrastructure for the social and economic history of the Ottoman Empire and the Republic of Turkey. This project will re-define industrialisation in its connection with urbanisation from a spatiotemporal analytical perspective for Anatolia and the Southeast Europe to ask time and space specific questions about, simultaneity and geographical convergence of Eurasian economic development since 1850.

Mots-clés : structural change,economic geography,digital history,historical geographic information system,multiple correspondence analysis,digital research infrastructure