Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
3D IC Design Flow for Hybrid-bonding 3D System on Chip (H-3D-SOC)

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: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 178320.0
EU funding (EUR): 178320.0
Participants: 1
Project status: CLOSED

As the device size is shrunk to its quantum limit, Moore’s law is becoming more difficult to follow. By exploiting the z-direction in the gate, block or system level, three-dimensional (3D) integrated circuit (IC) technology has the potential to extend Moore’s law. Face-to-face wafer by wafer Hybrid-bonding (H-b) based 3D System-On-Chip (H-3D-SOC) is one of the most promising 3D IC solutions. However, an exclusive IC design flow for H-3D-SOC for high-end processor with parameters of H-b pads from process is not available yet. This proposal aims at developing the first H-3D-SOC IC design flow for a two-tier multi-core processor considering the impact of process variation of H-b, including the geometrical and defects variation, leading to its resistance and capacitance change. Several novel methods will be developed for the H-3D-SOC IC design: machine-learning inspired techniques exploited to guide the top and bottom tiers netlist partitioning; two-tier mutual-aware optimization realized during placement and routing; capacitance coupling between the top metal layers of the two tiers considered during parasitic extraction. Moreover, impact of H-b pad parameter variation will be evaluated from the device level up to the system level: electrical variability modelling for the H-b pad, calibrated by experimental data; incorporating the device model of the pad into the H-3D-SOC based multi-core processor characterized by various industrial benchmarks. To mitigate the H-b variability, the critical H-b pads of higher utilization and larger potential to fail during working can be first identified efficiently by using a heuristic search algorithm and then hardened by attaching a spare pad to each of them. The proposed research will enable the applicant to become an expert of 3D IC design of high-end processors for applications such as AI and cloud computing, having great impact on both academia and industry of semiconductor.

Keywords: 3d ic design,multicore processor,variability analysis and improvement,device modelling,system simulation,eda tools development
Enhancing ecoSysteM sERvices mApping for poLicy and Decision mAking (ESMERALDA)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Protection of the environment, sustainable management of natural resources, water , biodiversity and ecosystems
Action type: Coordination and support actions
Countries involved: Austria,Germany,Spain,Estonia,Italy,Israel,Ireland,Germany,Cyprus,Malta,Switzerland,Greece,Lithuania,Poland,Romania,Croatia,Hungary,Slovakia,Sweden,Norway,Belgium,Belgium,Bulgaria,Finland,Hungary,Slovenia,Latvia,France,Czechia,Netherlands,Netherlands,Denmark,United Kingdom,Portugal,Luxembourg,United Kingdom,United Kingdom
Call: Enhancing mapping ecosystems and their services (H2020-SC5-2014-one-stage, 2014)
Start date: 2015-02-01
End date: 2018-07-31
Duration (months): 42.0
Total project cost (EUR): 3133306.0
EU funding (EUR): 3002166.0
Participants: 39
Project status: CLOSED

Mapping and assessment of ecosystems and their services (ES) are core to the EU Biodiversity (BD) Strategy. They are essential if we are to make informed decisions. Action 5 sets the requirement for an EU-wide knowledge base designed to be: a primary data source for developing Europe’s green infrastructure; resource to identify areas for ecosystem restoration; and, a baseline against which the goal of ‘no net loss of BD and ES’ can be evaluated. In response to these requirements, ESMERALDA aims to deliver a flexible methodology to provide the building blocks for pan-European and regional assessments. The work will ensure the timely delivery to EU member states in relation to Action 5 of the BD Strategy, supporting the needs of assessments in relation to the requirements for planning, agriculture, climate, water and nature policy. This methodology will build on existing ES projects and databases (e.g. MAES, OpenNESS, OPERAs, national studies), the Millennium Assessment (MA) and TEEB. ESMERALDA will identify relevant stakeholders and take stock of their requirements at EU, national and regional levels. The objective of ESMERALDA is to share experience through an active process of dialogue and knowledge co-creation that will enable participants to achieve the Action 5 aims. The mapping approach proposed will integrate biophysical, social and economic assessment techniques. Flexibility will be achieved by the creation of a tiered methodology that will encompass both simple (Tier 1) and more complex (Tier 3) approaches. The work will exploit expert- and land cover-based methods, existing ES indicator data and more complex ES models. As a result the outcomes will be applicable in different contexts. The strength of the ESMERALDA consortium lies in its ability to make solutions for mapping and assessment problems available to stakeholders from the start of the project, because our expertise allows us to build on existing research projects and data sharing systems.

Keywords: ecosystem services,mapping,assessment,europe,network,biodiversity strategy,ecosystem restoration,policy making,flexible methodology
Experimental and Numerical insight into Scale effects in granUlaR slides in the mountainous Environment (ENSURE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-08-01
End date: 2024-07-08
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

As a result of climate change, growing population and development, mountainous regions are facing increasing frequency of landslides resulting in destructive impacts on infrastructure, human and natural resources. Thus, reliable methods for predicting landslides and their runout distances are required. Landslides are often modelled as granular slides. Currently, the runout distance of such granular slides cannot be reliably predicted from laboratory-based studies due to so-called scale effects (i.e. differences in slide characteristics when the size/scale is reduced in the laboratory compared to the event in nature). This results in a dangerous underprediction of the runout distance or requires expensive large-scale or numerical investigations. A talented female researcher is addressing this challenge in this ENSURE project in collaboration with an internationally recognised pioneer researcher in this research topic. The primary goal of ENSURE is to provide a full physical understanding and quantification of scale effects in granular slides through economically efficient laboratory experiments and numerical simulations. A secondary goal is to develop a reliable upscaling method accounting for scale effects in granular slides that links laboratory-scale properties with field-scale events to ensure the predictive capability of laboratory experiments. ENSURE is an integrated implementation platform of an “innovation-justification-application from lab-to-field” approach to elucidate the critical phenomenon of granular slides by fully understanding the physical reasons for scale effects for the first time, which is essential for landslide hazard assessment. Further, the researcher will undergo a training-through-research program, a special career development agenda is designed to achieve core scientific skills and advancements, complementary skills as well as transferable skills. The outcome will ultimately contribute to the future mountainous urbanisation planning.

Keywords: granular slides,laboratory experiments,landslides,numerical modelling,scale effects
Teleost mucosal B1-like lymphocytes at the crossroad of tolerance and immunity (TEMUBLYM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-04-01
End date: 2022-09-30
Duration (months): 66.0
Total project cost (EUR): 1866046.0
EU funding (EUR): 1866046.0
Participants: 2
Project status: CLOSED

B cells are one of the main players of immunity, responsible for the production of immunoglobulins (Igs). In 2011, I was granted an ERC Starting grant to undertake the phenotypical and functional characterization of teleost B lymphocytes based on the hypothesis that they do not behave as mammalian B2 cells (conventional B cells) but closely resemble mammalian innate B1 lymphocytes involved in extrafollicular T-independent (TI) responses. Since then, my laboratory has gathered considerable evidences that strengthen this hypothesis. These studies were mostly carried out in central lymphoid compartments, but did not address how teleost B1-like cells regulate the delicate balance between immunity and tolerance at mucosal interfaces, in species lacking follicular structures. In this new project, I want to pursue my studies on B lymphocyte functionality, focusing on how teleost mucosal B cells are regulated, still under the assumption that fish B lymphocytes resemble better a B1 model. We will study how fish B cells differentiate to antibody secreting cells (ASCs) and establish extrafollicular long-term memory, taking into account novel results in mammals that have challenged traditional paradigms and revealed that long-term immunological memory can be established through TI IgM B1-like responses. Furthermore, we will also study the role of IgD in the gills, as previous studies from my group suggest that this Ig plays a key role in the regulation of immunity in this specific mucosa, as it seems to do in humans in areas such as the upper respiratory tract. Addressing how fish B cells mount a protective mucosal immune response in the absence of T cell help from organized follicles could provide new mechanistic insights into IgM and IgD responses emerging in humans. From a practical view, our work will contribute to understand why satisfactory mucosal vaccination is still an unreached goal for most diseases in both mammals and fish, despite their strong demand.

Keywords: teleost fish,b lymphocytes,mucosal immunity,antibody secreting cells ascs,intestine,gills
Novel approaches to determining the function of tissue-specific regulatory T cells (Tissue-Tregs)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Belgium,United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-06-01
End date: 2021-11-30
Duration (months): 66.0
Total project cost (EUR): 1999535.0
EU funding (EUR): 888793.41
Participants: 2
Project status: CLOSED

Regulatory T cells (Tregs) are formed through the expression of the transcription factor Foxp3 in T cells, resulting in the rewiring of the cell function into an immunosuppressive phenotype. Recently, it has been proposed that Tregs also have additional tissue-specific physiological roles when resident in different tissues. For example, tissue-specific Tregs residing in the muscle and adipose tissue possess immunological and non-immunological functions in these tissues, distinct from the generic Tregs in circulation. Currently, research into tissue-specific functions of Tregs, or any other migratory cell type, is limited by the available research tools. A vital part of immunological studies is cell depletion, yet a major limitation of all available methods is that they deplete target cells across the entire organism. This makes it extremely difficult to ascertain the function of tissue-resident Tregs, as systemic deletion results in severe autoimmunity, confounding the study of tissue-specific subsets. In order to assess these tissue-resident subsets new research tools are required to deplete the target cells in a specific anatomical region while leaving the same cell type unaffected in other organs. This project proposes to generate new synthetic biology tools for depleting tissue-resident cells and then to apply these tools to the study of tissue-resident Tregs in the brain, lung, liver, kidney and pancreas, thus creating a comprehensive atlas of tissue-specific functions. These studies will be extended by systematic molecular, cellular and kinetic analysis using existing innovative methods established in the laboratory. Finally, our tissue-specific deletion system will have a profound impact on immunology beyond the direct scope of the project, as the tools will be developed to allow flexible application to any cell type. In essence, this is a field of research currently held back by the absence of appropriate tools, waiting for the generation of a new toolkit.
The macroevolutionary impact of epigenetics and lateral gene transfer on eukaryotic genomes (Macro-EpiK)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: France
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-03-01
End date: 2024-02-29
Duration (months): 60.0
Total project cost (EUR): 1499945.0
EU funding (EUR): 1499945.0
Participants: 1
Project status: SIGNED

Multicellular organisms (e.g., animals, fungi and plants) are the best-studied eukaryotes but their ancestors and the vast majority of eukaryotic diversity correspond to microbial species (“protists”). The evolutionary history of protists is closely connected to the evolution of the eukaryotic cell itself. However, most protist diversity is still genomically unexplored, limiting our investigation of eukaryotic evolution. For example, while the importance of lateral gene transfer (LGT) in prokaryotic evolution is well recognized, its role in eukaryotic evolution is still debated. In addition, although epigenetic mechanisms represent a hallmark of eukaryotic genome regulation, we know surprisingly little about the evolution of these mechanisms across eukaryotic diversity. The overarching goal of my project is to understand how epigenetic mechanisms and LGT have shaped the macroevolution of eukaryotic genomes. This project has several inter-related intermediate objectives, which each in themselves will bring crucial insights into eukaryotic evolution: 1) reconstructing a robust phylogeny of eukaryotes; 2) inferring the gene content of the Last Eukaryotic Common Ancestor; 3) tracing the evolution of genes involved in epigenetic mechanisms and obtaining epigenomic maps from under-studied protists; 4) investigating the intriguing hypothesis of a possible interplay between epigenetic regulation and horizontal gene transfer and its influence on eukaryotic genome evolution: Have genes involved in epigenomic mechanisms been transferred between eukaryotes? Do epigenomic modifications affect the frequency of LGT in different lineages? To achieve this, I will characterize the transcriptomes, genomes, methylomes and small RNAs of understudied eukaryotic microbes selected for their key phylogenetic position, and to analyse them using state-of-the-art bioinformatic methods. I will target uncultivated protists, using single-cell techniques and novel genome-scaffolding approaches.

Keywords: eukaryotic microbes,evolution,phylogenetics,epigenetics,lateral gene transfer,singe cell,genomics,comparative genomics
Developing new behavioural models at the intersection of psychology, econometrics and machine learning (SYNERGY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: United Kingdom
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-02-01
End date: 2027-01-31
Duration (months): 60.0
Total project cost (EUR): 2499368.0
EU funding (EUR): 2499368.0
Participants: 1
Project status: SIGNED

The SYNERGY project will unify three key paradigms for the mathematical modelling of human behaviour, namely: i) process models in psychology and cognate disciplines that seek to explain how decisions are made; ii) econometric and behavioural models that explain which factors influence the decision process and to what extent; and iii) data-driven (machine learning) methods that focus on the outcome of the decision process. The different aims and assumptions of these paradigms have resulted in very distinct strengths and weaknesses for each discipline. Only the synergy of the three will fulfil the promise of producing models that are behaviourally consistent, applicable to real-world problems, computationally tractable, and balance a priori assumptions with data-driven insights. Integrating the three approaches into new Data-Driven Behavioural Models (DDBMs) is a novel, ambitious and highly complex undertaking, but one that is timely given the rapidly changing world, increasing use of models and big data for prediction, and growing interaction between humans and “intelligent machines” that require the latter to accurately predict human behaviour to enable safe and efficient use of AI. The proposed work will result in a paradigm shift for behavioural modelling, with impact in many application domains. SYNERGY will provide analysts with a powerful new toolkit that will allow efficient large-scale behavioural modelling on increasingly rich data while providing interpretable outputs and retaining important foundations in behavioural science. Alongside major methodological contributions, the proposed research includes large-scale empirical work, applying the new DDBMs to real-world problems with implications for national policy. This includes case studies to understand and predict travel and other behaviour in a COVID-19 environment, and to establish the benefits that more behaviourally consistent AI routines for autonomous vehicles can have for road traffic safety.

Keywords: choice modelling,behavioural modelling,mathematical psychology,machine learning,travel behaviour
5G-Crosshaul: The 5G Integrated fronthaul/backhaul (5G-Crosshaul)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Future Internet: Software, hardware, Infrastructures, technologies and services
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Spain,Italy,Italy,Spain,Italy,Germany,Spain,Italy,Taiwan, Province of China,Sweden,Sweden,France,France,United Kingdom,United Kingdom
Call: Advanced 5G Network Infrastructure for the Future Internet (H2020-ICT-2014-2, 2014)
Start date: 2015-07-01
End date: 2017-12-31
Duration (months): 30.0
Total project cost (EUR): 8492038.61
EU funding (EUR): 7942521.0
Participants: 23
Project status: CLOSED

Mobile data traffic is forecasted to increase 11-fold between 2013 and 2018. 5G networks serving this mobile data tsunami will require fronthaul and backhaul solutions between the RAN and the packet core capable of dealing with this increased traffic load while fulfilling new stringent 5G service requirements in a cost-efficient manner. The 5G-Crosshaul project aims at developing a 5G integrated backhaul and fronthaul transport network enabling a flexible and software-defined reconfiguration of all networking elements in a multi-tenant and service-oriented unified management environment. The 5G-Crosshaul transport network envisioned will consist of high-capacity switches and heterogeneous transmission links (e.g., fibre or wireless optics, high-capacity copper, mmWave) interconnecting Remote Radio Heads, 5GPoAs (e.g., macro and small cells), cloud-processing units (mini data centres), and points-of-presence of the core networks of one or multiple service providers. This transport network will flexibly interconnect distributed 5G radio access and core network functions, hosted on in-network cloud nodes, through the implementation of: (i) a control infrastructure using a unified, abstract network model for control plane integration (5G-Crosshaul Control Infrastructure, XCI); (ii) a unified data plane encompassing innovative high-capacity transmission technologies and novel deterministic-latency switch architectures (5G-Crosshaul Packet Forwarding Element, XFE). Demonstration and validation of the 5G-Crosshaul technology components developed will be integrated into a software-defined flexible and reconfigurable 5G Test-bed in Berlin. Mobility-related 5G-Crosshaul experiments will be performed using Taiwan’s high-speed trains. 5G-Crosshaul KPI targets evaluated will include among others a 20% network capacity increase, latencies <1 ms and 30% TCO reduction. The 5G-Crosshaul proposal addresses the ICT 14-2014 call of the Horizon 2020 Work Programme 2014-15 with a special focus on the P7 objectives defined by the 5GPPP IA

Keywords: fronthaul,backhaul,integrated fronthaul,unified data plane,software defined control,reduce capex,opex,novel transport technologies,mmwave,energy efficiency