Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Musings on primordial black holes: the formation and evolution of primordial black holes and binary primordial systems (PBH MUSE)

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: Physics
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: SIGNED

Born in the first moments of the universe, primordial black holes (PBHs) could provide the answers to many of the biggest open questions in cosmology. How did the universe begin? What is dark matter made of? PBHs are one of the oldest candidates to explain the nature of dark matter (DM), and considered by many to be one of the leading candidates — DM may be nothing more than swarms of PBHs clustered in haloes around every galaxy, and even if PBHs only make up a sub-dominant component of DM, their possible existence still has great implications not only for the evolution of the Universe, but also its creation. It is the aim of this project to improve constraints on the primordial universe, and to determine the origin of the black holes observed by LIGO-Virgo. To achieve this, I will perform studies fitting into 3 broad categories. Firstly, the formation of PBHs and binary systems in the early universe will be studied. The results will be used to determine an appropriate window function for use when calculating the PBH abundance - eliminating the largest source of uncertainty when calculating constraints on the primordial power spectrum from PBH constraints. Secondly, small-scale simulations will be used to determine the effect of PBHs on structure formation, which will be important for determining how external forces/objects might affect the evolution of binary PBH systems. Potentially, this may also lead to observable differences in the substructure of dark matter haloes between models with and without PBHs. Finally, the formation, evolution and possible disruption of systems containing 2 (or more) PBHs (or other compact objects) will be studied, making use of results from the previous sections.

Keywords: primordial black holes,cosmological perturbation theory,early universe
Black Hole Interactions and Neutron star Collisions Across the universe (BHianca)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 1974000.0
EU funding (EUR): 1974000.0
Participants: 1
Project status: SIGNED

Recent years witnessed a blossoming of multi-messenger astrophysics, in which gravitational waves (GWs), neutrinos, and photons provide complementary views of the universe and its most enigmatic objects, such as black holes (BHs) and neutron stars (NSs). The staggering dataset collected for the compact binary merger GW170817 -- including fundamental contribution by the PI -- showed the tremendous discovery potential of this field, which will unfold in the years ahead of us. The global network of interferometers will progressively sharpen its view of the gravitational wave sky and could soon allow us to see a new kind of light, arising from the encounter of a NS with a stellar mass BH. At the same time, wide-field gamma-ray instruments will continue to pinpoint these violent collisions in distant galaxies, and sensitive all-sky surveys might soon reveal the collision aftermath without the aid of gravitational or gamma-ray alerts. On the verge of a transformational era in the study of transients, I propose a cutting-edge investigation of compact binary mergers harnessing the unprecedented wealth of multi-messenger and multi-wavelength data. By combining a vigorous observational program with theoretical research at the forefront, this project will allow my team to fully exploit the discovery potential of a vastly uncharted territory and tackle the following emerging questions. Do all compact binary mergers launch relativistic jets? Are they the primary cosmic source of heavy metals? What are the properties of cold ultra-dense matter, and how do they affect the observed light? Can we use these mergers for precision cosmology? Stemming from the PI’s pioneering results, BHianca is uniquely positioned to timely address these central questions, and lead to seminal results in the nascent field of multi-messenger astronomy.

Keywords: black holes,neutron stars,gamma ray bursts,gravitational waves,nucleosynthesis,abundances
AI & NLP applied to semantic targeting in Search Engine Marketing (OA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-04-01
End date: 2023-06-30
Duration (months): 39.0
Total project cost (EUR): 2478358.13
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

WHO WE ARE? OrbitalAds is a Spanish start up founded with mission of helping our clients make the most of their online advertising investment, create perfect ads and keep on improving their conversion results automatically saving time, money and effort. WHAT IS OA PROJECT ABOUT? SEM is a form of Internet marketing that involves the promotion of websites by increasing their visibility in search engines through paid advertising and keywords are the most fundamental and significant element of SEM. Selection of the right keywords is one of the most challenging topics when running an effective marketing campaign. However, the selection and generation of the perfect keywords is a huge challenge. Just think that in Google, up to five billion searches are made every day in more than one hundred languages, so imagine the incalculable number of possible keyword combinations. Evidently, a truly efficient management of keywords can never be performed manually, but surprisingly, keywords management is the only process that after almost 20 years is still performed manually in SEM strategies. We have been the first and only ones to develop a solution for automatization of the keywords management process using Language Agnostic Smart Semantic Targeting based on Natural Language processing and Machine Learning. OA technology is capable of “understanding” words in hundreds of languages and phrases combining different words within a semantic context, to fully automate the keywords section process in SEM campaigns. OA has the true potential to become the global referent player in automatization of digital Advertising, which is a multibillion market that represents for us a €7 Billion market opportunity. The Series A round we are seeking now, would allow us embracing this business opportunity. We are requesting €3M (50% Grant + 50% equity) to the EC, to help us achieving our goals and bring EU at the forefront of the digital advertising market.

Keywords: digital marketing,algorithms and complexity,natural language processing,smart semantic targeting,search engine marketing
PROactive Strategies and Policies for Energy Citizenship Transformation (EnergyPROSPECTS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Robust decision making and public engagement
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Ireland,Belgium,Bulgaria,Hungary,Latvia,France,Netherlands
Call: Social Sciences and Humanities (SSH) aspects of the Clean-Energy Transition (H2020-LC-SC3-2020-NZE-RES-CC, 2020)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 3063362.5
EU funding (EUR): 3063360.0
Participants: 9
Project status: SIGNED

EnergyPROSPECTS (PROactive Strategies and Policies for Energy Citizenship Transformation) will work with a critical understanding of energy citizenship that is grounded in state-of-the-art SSH insights. Our 3-year project aims to develop a broad understanding of energy citizenship, which we understand as a policy concept, a socio-technical imaginary, a knowing-of-governance, i.e. a social construction of desirable/normal civic agency in future energy systems. We identify and examine a range of cross-cutting issues in energy citizenship, which will inform iterative typology development and criteria for case selection. Drawing on existing databases and a search for new cases, we will select 500 initiatives and undertake mapping and typology refinement exercises to demonstrate the depth/breadth of the energy citizenship concept in theory and practice. 40 cases will be selected for in-depth analysis exploring development, evaluation, intermediaries, institutions, governance and ICT in energy systems. Using a multi-actor perspective, we will develop an empowerment toolkit for practitioners and citizens, co-create viable strategies, and develop new business and social innovation models, and new forms of organisation to advance energy citizenship. A critical part of the research involves analysing the external and internal contextual conditions as they support or hinder energy citizenship in its various forms. Based on the analysis we will match suitable models and forms of organisation with different countries, regions and contexts. We will conduct a citizen survey to appraise the validity of various scenarios and discuss and refine results in citizen workshops and policy forums. We will produce practical policy outputs which will be revised with policy actors in knowledge exchange workshops. Overall the project will advance state-of-the-art energy research and provide recommendations for harnessing energy citizenship to achieve energy and decarbonisation goals in Europe.

Keywords: energy citizenship,energy communities,intermediaries,citizen science,policy impact,typology of energy citizenship,new business models,social innovation models,transdisciplinary,europe
Chromatin-localized central metabolism regulating gene expression and cell identity (CHROMABOLISM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Austria
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-05-01
End date: 2023-04-30
Duration (months): 60.0
Total project cost (EUR): 1980916.0
EU funding (EUR): 1980916.0
Participants: 1
Project status: CLOSED

Epigenetics research has revealed that in the cell’s nucleus all kinds of biomolecules–DNA, RNAs, proteins, protein posttranslational modifications–are highly compartmentalized to occupy distinct chromatin territories and genomic loci, thereby contributing to gene regulation and cell identity. In contrast, small molecules and cellular metabolites are generally considered to passively enter the nucleus from the cytoplasm and to lack distinct subnuclear localization. The CHROMABOLISM proposal challenges this assumption based on preliminary data generated in my laboratory. I hypothesize that chromatin-bound enzymes of central metabolism and subnuclear metabolite gradients contribute to gene regulation and cellular identity. To address this hypothesis, we will first systematically profile chromatin-bound metabolic enzymes, chart nuclear metabolomes across representative leukemia cell lines, and develop tools to measure local metabolite concentrations at distinct genomic loci. In a second step, we will then develop and apply technology to perturb these nuclear metabolite patterns by forcing the export of metabolic enzymes for the nucleus, aberrantly recruiting these enzymes to selected genomic loci, and perturbing metabolite patterns by addition and depletion of metabolites. In all these conditions we will measure the impact of nuclear metabolism on chromatin structure and gene expression. Based on the data obtained, we will model for the effects of cellular metabolites on cancer cell identity and proliferation. In line with the recent discovery of oncometabolites and the clinical use of antimetabolites, we expect to predict chromatin-bound metabolic enzymes that can be exploited as druggable targets in oncology. In a final aim we will validate these targets in leukemia and develop chemical probes against them. Successful completion of this project has the potential to transform our understanding of nuclear metabolism in control of gene expression and cellular identity.

Keywords: folate metabolism,nuclear metabolomics,transcription,target discovery
Agent-Based Modelling of Gene Networks to model clonal selection in the tumour microenvironment and predict therapeutic resistance (MicroC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Italy,United Kingdom
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-06-01
End date: 2024-05-31
Duration (months): 72.0
Total project cost (EUR): 1996325.0
EU funding (EUR): 455977.5
Participants: 2
Project status: SIGNED

The occurrence of therapeutic resistance is a major cause for the small effect on overall survival showed by targeted cancer therapies. Whilst experimental strategies to evaluate available treatments have been faced by an ever increasing number of possible combinations, computational approaches have been challenged by the lack of a framework able to model the multiple interactions encompassed by the three major factors affecting therapeutic resistance: selection of resistant clones, adaptability of gene signalling networks, and a protective and hypoxic tumour microenvironment. Here I propose a novel modelling framework, Agent-Based Modelling of Gene Networks, which brings together powerful computational modelling techniques and gene networks. This combination allows biological hypotheses to be tested in a controlled stepwise fashion, and it lends itself naturally to model a heterogeneous population of cells acting and evolving in a dynamic microenvironment, which is needed to predict therapeutic resistance and guide effective treatment selection. Using triple negative breast cancer (TNBC) as a testing case (15% of breast cancers, lacks validated), I propose to: 1. Develop a computational model of the TNBC tumour microenvironment using in-vitro and in-vivo, including patient-derived, models and data from clinical samples. 2. Validate the ability of the model to predict driver genes conferring a survival advantage to cancer cells in a hypoxic microenvironment. 3. Predict combinations of druggable targets to tackle TNBC therapeutic resistance. 4. Select most effective drug combinations and validate pre-clinically. This project will deliver pre-clinically validated drug combinations, new therapeutic targets and a virtual environment to study individual tumours and predict therapeutic resistance. Complementing and empowering experimental models and assays, microC will offer a new powerful tool for diagnosis and therapy.
Green Machine Learning for 5G and Beyond Resource Optimisation (GreenML5G)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-04-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Artificial Intelligence (AI) is revolutionising a wide range of industries. Wireless networks with emerging high dimensional challenges are set to benefit from data-driven deep learning optimisation across layers. In particular, we expect that the deep supervised and deep reinforcement learning modules can resolve high-dimensionality inputs, achieve near optimal solutions, and efficiently scale via confederated learning. However, what is not well understood is the energy cost and carbon footprint of AI in future wireless networks. The danger is that intelligent networks are not green networks and that the recent progress made in green communication risk being undermined by the new breed of AI-based wireless communication. Here, in this project, we propose to develop green machine learning algorithms for radio resource management. This will lead to a future of intelligent and sustainable wireless networking.

Keywords: resource management,energy efficiency
Large-scale Continuous-Fiber Additive Manufacturing for the Maritime and Infrastructure Sectors (CFAM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 1376875.0
EU funding (EUR): 963812.5
Participants: 1
Project status: CLOSED

Composite materials find innumerable applications and they are manufactured in most cases via the open-mold process. However, when the object to manufacture is large in size, complex in shape, and to be produced in a few units only (e.g., for prototyping purposes or small production batches) the open-mold process becomes very expensive because of the cost of the mold, so the production is moved to Asia to save at least on the labor costs. This introduces though long lead times (up to 8 weeks). This situation is common in the maritime and industry sectors, in which small batches of complex and large composite-made parts are used very often. These industries need a solution to manufacture locally (in order to reduce the lead time) and inexpensively custom-made parts. Our innovation addresses exactly this need. We offer the largest (1.5 m × 4 m × 2 m) Additive Manufacturing machine capable of producing carbon- and glass-fiber parts with a high throughput (up to 15 kg/h) and low costs (about 50 €/h, including material, personnel, and depreciation). Our Continuous-Fiber Additive Manufacturing (CFAM) machine exists as a TRL 6 prototype, which is a small-scale version of the final product but in which all critical technologies have been thoroughly tested. The main goal of this project is to take the CFAM machine to TRL 9, manufacture and test it, and finally bring it to the European market. We have already two launching customers (Dutch SMEs working in the maritime and industrial sectors) and we have planned business development activities Europe-wide that will guarantee to our company a turnover of over €17 million in 2022. During the project, we will also build an Experience Center in which our CFAM machine will be available for demonstrations and for 'manufacture as a service' purposes for clients that want to test it or use it for prototyping purposes.

Keywords: additive manufacturing,composite materials,composite automation
All the Goods of the Earth: Making and Marketing in the Pre-Mongol Islamic World (Goods of the Earth)

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: Social Sciences and Humanities
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-02-01
End date: 2023-09-02
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: CLOSED

The interdisciplinary Goods of the Earth project explores the process of making of textiles, ceramics and metalwork within the pre-Mongol marketplace in the Islamic world (750 – 1258 CE). This study, the first of its kind, analyses and compares written Islamic legal sources like the Hisba-manuals together with extant artifacts to highlight the transfer of technical craft knowledge and information between Baghdad – the capital of the Abbasid Empire – and al-Andalus – the cultural omphalos within the western Islamic world – as well as the social role of the artisan-craftsman and the organisation and division of labour within the pre-Mongol marketplaces. Exploring the pre-Mongol marketplace, its products and artisan-craftsmen will gather new information concerning the transfer of knowledge and will enable new discussion of art and craft in the field of Art History, Islamic Art History, Arab philological Studies, political and social history, the History of Science and Textile History. Furthermore, this project will show the importance of the applied Arts for the field of Art History. The Goods of the Earth project is hosted by the University of Copenhagen’s Centre for Textile Research (CTR), a world-wide leader in the field of textile studies. The project will benefit from CTR’s optimal research and training environment while contributing to the expansion of its global scientific network. The secondment institution will be the Max Planck Institute for the History of Science (MPIWG) in Berlin with its Department III (Artifacts, Action, Knowledge) famous for their broad and interdisciplinary methodological approaches in order to understand the changing role of artifacts in the creation, diffusion and use of scientific and technological knowledge. The results will be communicated through a series of academic publications and conferences, as well as Project Open Day (European Researcher Night) for students and the general public in order to give them an understanding.

Keywords: islamic textiles,islamic metalwork,islamic ceramics,social role of the artisan,marketplace in the premodern islamic world,pattern notation systems,dissemination of information and knowledge