Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MIREL - MIning and REasoning with Legal texts (MIREL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Italy,Italy,Argentina,South Africa,Australia,Italy,China,Bulgaria,France,United States,United Kingdom,Japan,Luxembourg
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 1264500.0
EU funding (EUR): 1152000.0
Participants: 16
Project status: CLOSED

The management of large repositories of norms, and the semantic access and reasoning to these norms are key challenges in Legal Informatics. The MIREL project will create an international and inter-sectorial network to define a formal framework and to develop tools for MIning and REasoning with Legal texts, with the aim of translating these legal texts into formal representations that can be used for querying norms, compliance checking, and decision support. The development of the MIREL framework and tools will be guided by the needs of three industrial partners, and validated by industrial case studies. MIREL promotes mobility and staff exchange between SMEs to academies in order to create an inter-continental interdisciplinary consortium in Law and Artificial Intelligence areas including Natural Language Processing, Computational Ontologies, Argumentation, and Logic & Reasoning. MIREL addresses both conceptual challenges, such as the role of legal interpretation in mining and reasoning, and computational challenges, such as the handling of big legal data, and the complexity of regulatory compliance. It bridges the gap between the community working on legal ontologies and NLP parsers and the community working on reasoning methods and formal logic. Moreover, it is the first project of its kind to involve industrial partners in the future development of innovative products and services in legal reasoning and their deployment in the market. The European MIREL partners are key players in the communities of Deontic, AI & Law, and the Semantic Web, communities that have traditionally been strong in Europe. The MIREL consortium brings these scientists together with researchers with expertise traditionally lacking in Europe, such as norm and argument mining (Argentina, Japan and China), description logic for reasoning about legal ontologies (South Africa), natural language semantics of deontic modals (US), and the complexity analysis of regulatory compliance (Australia).

Keywords: legal informatics,natural language processing,natural language semantics,parsing,reasoning
Narrative Ordering and Explanation in the Sciences: Historical Investigations and Perspectives (NARRATIVENSCIENCE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2021-03-31
Duration (months): 54.0
Total project cost (EUR): 1992442.51
EU funding (EUR): 1992442.51
Participants: 1
Project status: CLOSED

The aim of this project is to understand the role of narrative in modern science. Narratives have appeared in many places in the human, social and natural sciences over the past two centuries. They can be found both in accounts of real situations and in simulations of virtual situations, in empirical work and in theorizing. It is clear that narratives have played important roles for scientists well beyond the simple act of reporting. Yet we lack an account of what kinds of thing scientists know from using narrative and how such ‘narrative knowing’ is constituted. Indeed, with the notable exceptions of medicine and evolutionary biology, even the study of those field narratives, as narratives, has been largely ignored by both historians of science and narrative scholars. What do scientists gain from using narratives, what functions do narratives play? Initial research shows that scientists have used narratives to figure out what fits together with what, and to create coherence amongst the elements in their research. But the means of such ordering vary - from site to site, and from science to science. Narratives used to explore a path dependent system in nineteenth century biology used a different mode of ordering both from the configuring narratives of mid-twentieth century case studies in sociology, and from the ‘how possibly’ narratives of modern computer-based simulations. Such variety requires a broad project, using many case studies to explore the critical role that scientists’ narratives have played in modern science. Making sense of such variety offers an ambitious challenge. But while there is surely no simple answer to why scientists use narratives, all these notions of narrative ordering do have something in common. They suggest that narratives function not just to describe and report as one might expect, they play a much more important role in answering scientists’s own questions and so - in various ways - in providing scientific explanations.

Keywords: scientists narratives,narrative explanation,narrative ordering,narrative knowing
Understanding the complexity and architecture in protein ubiquitination (UbiArchitect)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-10-01
End date: 2022-09-30
Duration (months): 60.0
Total project cost (EUR): 1990125.0
EU funding (EUR): 1990125.0
Participants: 2
Project status: CLOSED

The posttranslational modification of proteins with polyubiquitin regulates virtually all aspects of cell biology. This versatility arises from eight distinct linkage types between individual ubiquitin moieties in polyubiquitin, which co-exist in cells, are independently regulated, and eventually determine the fate of the modified protein. However, ubiquitin chain architecture can be highly complex, and the extent of ‘chain branching’ is unknown. Moreover, ubiquitin also undergoes phosphorylation and acetylation, which can dramatically alter its function. A true appreciation of the complexity in the ubiquitin code can only be achieved when all above aspects are considered, and only then will it be possible to assign cellular readouts to distinct ubiquitination events and differentiate between ubiquitin signals in cells. While the complexity of ubiquitination is daunting, work from many laboratories including my own has exemplified how basic biochemistry, a detailed understanding of mechanism and quantitative mass-spectrometry allows us to study, and eventually understand, the ubiquitin code. In this proposal, new methods and approaches are outlined that will allow a detailed monitoring of polyubiquitin chain architectures from cellular samples (AIM 1), and also lead to an in depth understanding of additional posttranslational modifications, such as ubiquitin phosphorylation and acetylation in cells (AIM 2). Moreover, new research tools for unstudied K6- and K33-linked polyubiquitin will give insights into cellular roles for these linkage types (AIM 3). Our studies will focus on ubiquitination events on mitochondria leading to mitophagy, where unstudied K6-linked chains as well as phospho-ubiquitin are part of complex chain architectures, and mechanisms of signalling are still unclear. Our work will reveal fundamental principles in ubiquitination, and are of high medical relevance due to the links to Parkinson’s disease, infectious disease, and cancer.

Keywords: ubiquitin,mitophagy,atypical ubiquitin chains,phospho ubiquitin,e3 ligase,parkin,pink1,rbr e3 ligase,hect e3 ligase,ubiquitin mass spectrometry
Sunlight driven carbon-dioxide reduction: Hybrid catalytic systems consisting of molecular catalysts and light-harvesting Quantum-dots and semiconductors (CO2RED)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Artificial photosynthesis, in which sunlight is directly used to generate fuels from CO2 and water, is an attractive solution to both global energy challenges and environmental issues caused by rising CO2 levels. However, implementation of such a quasi-carbon-free fuel-economy requires efficient catalysts and light-harvester to power this uphill reaction. The proposed project is aimed at developing novel hybrid photocatalysts and photocathodes for light-induced CO2 reduction using molecular catalysts and semiconductor light-harvesters. Molecular catalysts will be immobilized onto the semiconductor-materials to generate robust photocatalysts, and subsequently, these semiconductor-catalyst assemblies will be transferred to transparent electrodes to build photoelectrodes. The innovative aspect of CO2RED is to employ inexpensive, carbon-based semi-conducting ligh-harvesters (carbon-nitride, carbon quantum dots) and 3d-metal based molecular catalysts, and use robust linkages to interface them with transparent photoelectrodes. Finally, this hybrid photocathode will be tested in a tandem CO2/H2O photoelectrochemical cell by coupling it with a photoanode for water oxidation. The project being at the interface of synthetic, materials, photo- and electro-chemistry, will provide an excellent opportunity for the experienced researcher (ER) to develop a wide range of technical skills. In addition, the fellowship will allow the ER to gain important complementary skills including proposal writing, manuscript preparation, public outreach, networking, and IPR protection that will be invaluable for his independent career. The combination of the cutting-edge science and training excellence of the project will greatly improve the ER’s career prospect and enhance the host group’s international reputation.

Keywords: heterogeneous catalyst,photoelectrochemistry,solar fuel,hybrid material
Synthesising Inductive Data Models (Synth)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Belgium
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 2458656.0
EU funding (EUR): 2458656.0
Participants: 1
Project status: CLOSED

Inspired by recent successes towards automating highly complex jobs like programming and scientific experimentation, the ultimate goal of this project is to automate the task of the data scientist when developing intelligent systems, which is to extract knowledge from data in the form of models. More specifically, this project wants to develop the foundations of a theory and methodology for automatically synthesising inductive data models. An inductive data model (IDM) consists of 1) a data model (DM) that specifies an adequate data structure for the dataset (just like a database), and 2) a set of inductive models (IMs), that is, a set of patterns and models that have been discovered in the data. While the DM can be used to retrieve information about the dataset and to answer questions about specific data points, the IMs can be used to make predictions, propose values for missing data, find inconsistencies and redundancies, etc. The task addressed in this project is to automatically synthesise such IMs from past data and to use these to support the user when making decisions. It will be assumed that the data set consists of a set of tables, that the end-user interacts with the IDM via a visual interface, and the data scientist via a unifying IDM language offering a number of core IMs and learning algorithms. The key challenges to be tackled in SYNTH are: 1) the synthesis system must ”learn the learning task”, that is, it should identify the right learning tasks and learn appropriate IMs for each of these; 2) the system may need to restructure the data set before IM synthesis can start; and 3) a unifying IDM language for a set of core patterns and models must be developed. The approach will be implemented in open source software and evaluated on two challenging application areas: rostering and sports analytics.

Keywords: data mining,artificial intelligence,intelligent data analysis,relational learning,data science,probabilistic programming,machine learning,graphical models,constraints,automating data science
User-driven Energy-Matching & Business prospection tool for industrial Excess heat/cold Reduction, Recovery and Redistribution (EMB3Rs)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Innovation actions
Countries involved: Germany,Austria,Germany,Sweden,Sweden,Greece,Netherlands,Portugal,Denmark,United Kingdom,United Kingdom,Portugal
Call: Business case for industrial waste heat/cold recovery (H2020-LC-SC3-EE-2018, 2018)
Start date: 2019-09-02
End date: 2023-06-01
Duration (months): 45.0
Total project cost (EUR): 4245118.57
EU funding (EUR): 3984671.32
Participants: 18
Project status: SIGNED

The EMB3Rs project will implement a bottom-up, user-driven and open source modelling platform to simulate alternative supply-demand scenarios for the recovery and reuse of industrial excess heat and cold (HC). EMB3Rs’ final users will employ the platform to determine the costs and benefits related with excess HC utilization routes, and to define the required implementation conditions for the most promising solutions. The platform will allow industrial users and other relevant stakeholders to autonomously and intuitively explore and assess the feasibility of new technology and business scenarios. This will benefit each individual producer/ consumer in a given industrial community but also enable win-win solutions between industries and final HC users in other sectors. The main aim is to reuse and/or trade excess thermal energy in a holistic perspective within an industrial process HC/energy system environment or framed in an HC network in regulated or liberalized markets. The resource and energy intensive industries (REII) and DHC networks will be able to use and rely on the EMB3Rs platform to investigate the revenue potential of using industrial excess HC as an energy (re)source. The REII will be able to evaluate the benefits of investing in low carbon options, such as the integration of renewable HC technologies and thermal storage, in industrial processes. Ultimately, by translating industrial excess HC into savings, revenues and increased overall system efficiency, EMB3Rs will allow the REII community to improve its competitiveness, foster and accelerate the decarbonisation of the HC market overall and contribute to the EU climate change mitigation goals. Namely by i) contributing to overcome the barriers for developing and deploying in HC solutions, i.e. reaching a critical mass of users, iii) identifying critical framework conditions and success factors and iv) promoting transfer and replication of solutions in other industrial sectors and iv) stimulating the convergence between energy, energy efficiency goals, CO2 reduction and business interests.

Keywords: energy modelling,excess heat recovery,industrial efficiency,open source system,cost benefit,business case,renewable heat,thermal storage,dhc networks,reii communities,collaborative platform
Homogenous dynamics, arithmetic and equidistribution (HomDyn)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Israel
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-06-01
End date: 2024-11-30
Duration (months): 66.0
Total project cost (EUR): 2090625.0
EU funding (EUR): 2090625.0
Participants: 1
Project status: SIGNED

We consider the dynamics of actions on homogeneous spaces of algebraic groups, and propose to tackle a wide range of problems in the area, including the central open problems. One main focus in our proposal is the study of the intriguing and somewhat subtle rigidity properties of higher rank diagonal actions. We plan to develop new tools to study invariant measures for such actions, including the zero entropy case, and in particular Furstenberg's Conjecture about $\times 2,\times 3$-invariant measures on $\R / \Z$. A second main focus is on obtaining quantitative and effective equidistribution and density results for unipotent flows, with emphasis on obtaining results with a polynomial error term. One important ingredient in our study of both diagonalizable and unipotent actions is arithmetic combinatorics. Interconnections between these subjects and arithmetic equidistribution properties, Diophantine approximations and automorphic forms will be pursued.

Keywords: homogeneous dynamics,ergodic theory,invariant measures,entropy,algebraic groups,diophantine approximation,equidistribution,quantum unique ergodicity,arithmetic combinatorics
OBSERVATORY OF THE DYNAMICS OF INTERACTIONS BETWEEN SOCIETIES AND ENVIRONMENT IN THE AMAZON (ODYSSEA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Austria,Sweden,France,France,France,France,France,France,United Kingdom,Portugal,Brazil
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 1849500.0
EU funding (EUR): 1705500.0
Participants: 25
Project status: CLOSED

Achieving a sustainable development trajectory in Amazonia is one of the key challenges facing Brazil, and is also an important international concern. ODYSSEA assembles an internationally renowned European and Brazilian multidisciplinary and intersectoral team. We aim to produce fundamental science and tools in order to build an innovative multi-and interdisciplinary observatory to monitor and assess dynamic interactions between Amazon societies and their environments. This observatory will serve as a basis for policy development that integrates social, environmental, political-economic and human health dimensions. Our methodology puts the society at the heart of the observatory’s building process, engaging stakeholders and decision makers in the research to favour advancement of their objectives and commitment to sustainable development issues. Building on knowledge framed around ongoing bilateral projects, ODYSSEA brings together several independent networks of international and Brazilian researchers which all have long-term experiences in the Amazon of environmental and social research, each with their own expert skill-sets. We expect significant advances in our understanding of the different feedbacks and linkages between the panoply of pressures exerted on the environment, the factors determining the vulnerability of local populations to environmental shocks and in the evaluation of governance and institutional arrangements aiming at promoting adaptation. We aim to enhance the capacity of Brazilian institutions to assess and reduce the vulnerability of populations in Amazonia. ODYSSEA will help unify an increasing number of bilateral arrangements for research and innovation between individual European countries and Brazil. Whilst these connections are proving fruitful in their own right there is a largely untapped opportunity to upscale the intensity and diversity of connections between Europe and Brazil on all levels of education, research and development.

Keywords: public policies,climate change adaptation,risks and vulnerability,modeling,aquatic and terrestrial ecosystems,participatory approaches,remote sensing,environment and health,amazon
Development and implementation of an integrative bioanalytical approach to identify sources of toxicity formed during ozonation of wastewater (OzoToxID)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-01
End date: 2023-01-31
Duration (months): 24.0
Total project cost (EUR): 203149.44
EU funding (EUR): 203149.44
Participants: 1
Project status: CLOSED

Organic micropollutants (MPs) such as pharmaceuticals, industrial chemicals, and biocides cause undesired effects in the aquatic environment when present above certain concentrations. Conventional wastewater treatment plants (WWTPs) are major point sources of entry of MPs into watercourses, leading to disturbances in the ecosystems of receiving water bodies and potentially to a negative impact on the quality of drinking water resources. Several European countries have started upgrading their WWTPs to reduce discharges of MPs into water bodies. Ozonation is one of the two main technologies used to upgrade WWTPs. The abatement of MPs by ozone has been shown to reduce certain toxicities such as endocrine disruption and algal toxicity. However, toxicological studies which investigated mutagenicity and genotoxicty –two endpoints relevant to carcinogenicity– revealed that ozonated wastewater exhibited mutagenic and genotoxic activities, which were not present before ozonation. To date, the nature of mutagenic and genotoxic ozonation transformation products and byproducts (OTPs and OBPs) as well as their precursors has not been elucidated. Owing to the large number of MPs present in wastewater effluents, testing each compound individually is not a feasible option. Consequently, an integrative strategy that prioritizes identification and targets the mutagenic and genotoxic compounds after toxicity assessment is necessary. OzoToxID aims at developing and implementing an integrative bioanalytical strategy based on effect-directed analysis combining mutagenicity and genotoxicity bioassays, fractionation, and cutting-edge high-resolution mass spectrometry chemical analysis to identify mutagenic and genotoxic OTPs/OBPs, determine their precursors, and elucidate their formation pathways. OzoToxID will provide key data that is crucial to determine the feasibility of ozonation when upgrading WWTPs.

Keywords: water quality,advanced wastewater treatment,ozonation,mutagenicity,genotoxicity,effect directed analysis,transformation products,bioanalytical approach