Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Integrative mechanistic and multi-omics Modelling of Antigen Presentation to predict epitope dynamics (IMAP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Germany
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-04-01
End date: 2026-03-31
Duration (months): 60.0
Total project cost (EUR): 1495000.0
EU funding (EUR): 1495000.0
Participants: 1
Project status: SIGNED

The immune system can patrol cell status by recognising epitopes bound to Human Leukocyte Antigen class I (HLA-I) molecules and triggering cytotoxic T cell (CTL) activation. Epitopes arrive at the cell surface through several steps of the antigen processing and presentation pathway (APP). Despite major discoveries in the past decades, the precise dynamics of APP are still not fully understood. These dynamics, however, determine the types and quantities of epitopes and therefore regulate the CTL response. The objective of my project is the development of an APP model from gene transcription to recognition by CTL clones that captures the underlying APP mechanisms and dynamics. Current approaches are mainly machine learning-based and focus only on parts of the APP. They neglect the underlying APP dynamics and do not elucidate novel mechanisms. Therefore, they fail to predict epitopes under altered cellular states such as infection. My project overcomes this pitfall by complementing large scale machine learning approaches with mechanistic modelling to comprehensively understand the APP and enable successful epitope prediction. To achieve this goal, I will: 1) develop an APP integrated computational description that combines a mechanistic model of the APP (based on detailed quantitative in vitro data) with a large-scale machine learning-based multi-omics model; 2) apply the model in two therapeutic-relevant cellular systems – Measles virus infection and chemotherapy-induced senescence – resulting in the educated identification of canonical and non-canonical epitopes. This project is at the cutting edge of the research with direct application in epitope discovery for therapies such as anti-cancer immunotherapy, vaccination against infection and modulatory immunotherapies against autoimmune diseases. The implemented computational framework will be made available to the community thereby providing a direct benefit to European scientific public and private sectors.

Keywords: hla i antigen processing and presentation,proteasome,peptide splicing,epitope prediction,bayesian model inference
ITS Observatory (ITS OBSERVATORY)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Italy,Austria,Greece,Greece,Belgium,Netherlands,Denmark,United Kingdom,United Kingdom,Denmark
Call: Towards seamless mobility addressing fragmentation in ITS deployment in Europe (H2020-MG-2014_SingleStage_B, 2014)
Start date: 2015-05-01
End date: 2017-10-31
Duration (months): 30.0
Total project cost (EUR): 1337259.5
EU funding (EUR): 1337259.5
Participants: 10
Project status: CLOSED

The proposal is to create an ITS Observatory providing easily accessible and understandable information on Intelligent Transport Systems and their deployment. The main objectives of the ITS Observatory are to bridge knowledge fragmentation across Europe, support ITS deployment by creating an online inventory of ITS implementations and a dynamic ITS information marketplace and community, and provide a convenient one-stop ITS shop for the benefit of all stakeholders in the ITS community. The ITS Observatory will comprise three main elements; 1) a database of deployment projects completed or underway, 2) a self-service platform for entering all kinds of ITS content and 3) a dynamic information marketplace to find directly answers and solutions for specific needs. In addition, the ITS Observatory will contain insight articles, briefing notes, fact sheets etc. illustrating results of ITS deployment. The ITS Observatory responds to the call MG-7.2b-2014 “Towards seamless mobility addressing fragmentation in ITS deployment in Europe” of the Mobility for Growth call of the Transport challenge “Smart Green and integrated transport of the EU Framework Programme for Research and Innovation Horizon 2020". In particular, the ITS Observatory will directly address the objective to “Reduce the thematic and geographical knowledge fragmentation”. The ITS Observatory will alleviate existing gaps and fragmentation of the European ITS landscape by providing decision makers and related stakeholders with access to reliable, understandable and coherent information on outcomes (benefits and impacts) of existing and ongoing ITS deployment, supporting them in developing fact-based policy objectives and strategies. Through knowledge sharing the ITS Observatory will foster a faster take-up of deployment, avoiding ‘reinventing the wheel’ and previously identified pitfalls and hence leading to larger scale implementation.

Keywords: observatory,software platform,its deployment
Real-time optimization of extraction and the logistic process in highly complex geological and selective mining settings (Real-Time-Mining)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Research and Innovation actions
Countries involved: Germany,Germany,France,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,Portugal
Call: Mining of small and complex deposits and alternative mining (H2020-SC5-2014-one-stage, 2014)
Start date: 2015-04-01
End date: 2019-03-31
Duration (months): 48.0
Total project cost (EUR): 6566702.5
EU funding (EUR): 5629199.75
Participants: 13
Project status: CLOSED

The overall aim of Real-Time-Mining is to develop a real-time framework to decrease environmental impact and increase resource efficiency in the European raw material extraction industry. The key concept of the proposed research promotes the change in paradigm from discontinuous intermittent process monitoring to a continuous process and quality management system in highly selective mining operations. Real-Time Mining will develop a real-time process-feedback control loop linking online data acquired during extraction at the mining face rapidly with an sequentially up-datable resource model associated with real-time optimization of long-term planning, short-term sequencing and production control decisions. The project will include research and demonstration activities integrating automated sensor based material characterization, online machine performance measurements, underground navigation and positioning, underground mining system simulation and optimization of planning decisions, state-of-the art updating techniques for resource/reserve models. The impact of the project is expected on the environment through a reduction in CO2-emissions, increased energy efficiency and production of zero waste by maximizing process efficiency and resource utilization. Currently economically marginal deposits or difficult to access deposits will be become industrial viable. This will result in a sustainable increase in the competitiveness of the European raw material extraction through a reduced dependency on raw materials from non-EU sources.

Keywords: underground positioning,sensor based material and machine performance characterization,real time resource,reserve model updating,optimization of mine planning and production control
Collective signaling oscillations in embryonic patterning – revealing underlying principles (CollectiveDynamics)

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: Germany
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 2153310.0
EU funding (EUR): 2153310.0
Participants: 1
Project status: SIGNED

In this proposal, we study collective signaling oscillations during embryonic patterning. Signaling oscillations during vertebrate embryo segmentation are governed by a molecular oscillatory machinery referred to as segmentation clock (Palmeirim et al., 1997). The segmentation clock is linked to periodic activity of the Notch, Wnt and Fgf pathway in presomitic mesoderm (PSM) cells (period~2 hours in mouse embryos). Importantly, PSM cells display complex, collective synchronization and, as a result, wave-like activity patterns (phase waves) sweep periodically along the embryonic axis. We have previously shown that phase waves are an emergent and collective phenomenon in PSM cells (Tsiairis and Aulehla, 2016). Conceptually, this proposal builds on our previous discovery that the relative timing between Wnt/Notch oscillations is critical for proper mesoderm patterning (Sonnen et al., 2018). What are the principles underlying the emergence of collective synchronization and how do PSM cells decode relative timing of signalling oscillations? As outlined in this proposal, we are now in a unique position to address these fundamental questions in novel ways. Importantly, we have established an entrainment strategy that enables, for the first time, precise experimental control of oscillation dynamics (Sonnen et al., 2018). Our strategy is to further expand the entrainment approach, including the future use of optogenetics, and also combine it with our expertise in quantitative, multi-scale analysis of signalling dynamics and functional, genetic perturbations. A central aim of this ERC proposal is to build on discoveries made in versatile in vitro assays that we developed and to address their significance in vivo. To this end, we propose a novel line of research using the medaka fish model. We will entrain and challenge collective synchronization in vivo to address how signalling oscillations are integrated with growth dynamics to yield robust embryonic patterning.
Governing Nanotechnologies through societal engagement (GoNano)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: Coordination and support actions
Countries involved: Italy,Spain,Austria,Ireland,Norway,Czechia,United States,Netherlands,Netherlands,Denmark
Call: Governing innovation of nanotechnology through enhanced societal engagement (H2020-NMBP-CSA-2017, 2017)
Start date: 2017-09-01
End date: 2020-12-31
Duration (months): 40.0
Total project cost (EUR): 1998366.25
EU funding (EUR): 1998366.25
Participants: 10
Project status: CLOSED

GoNano has as its main objective to improve the responsiveness of research & innovation processes to public values and concerns. The project builds on previous projects in public engagement and new technologies to develop a pilot project in each of the nanotechnology research areas ‘Health’, ‘Energy’ and ‘Food’. The pilot projects will engage citizens with researchers, professional users, civil society organisations, industry, and policy makers in a continuous process of deliberative workshops and online consultations to co-create concrete suggestions for future nanotechnologies. GoNano will build a broad community of ‘change agents’ for integrating an ‘RRI way’ of working on research and innovation, and it will develop and disseminate an RRI business case to align public values, needs and concerns with industry’ for profit ambition. GoNano builds on the basic assumption that several types of knowledge are needed to define sustainability, acceptability, and desirability of nanotechnologies, as well as the belief that online and offline engagement activities must be combined with a creative approach to dissemination and communication to ensure continued interest and engagement in the debate on nanotechnologies future application. GoNano believes that its interactive and open approach to: developing the nanotechnology product suggestion; writing policy recommendation and building an RRI business case; informing and educating about nanotechnology as well as the value of co-creation will build trust and mutual understanding among all the stakeholders, including public and private stakeholders and citizens.

Keywords: citizen engagement,stakeholder engagement,governance,policy advice,nanotechnologies,responsible research and innovation,research and industry network
Bench-top system for detection and analysis of miRNA using solid-state nanopores (PoreDetect)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2021-01-01
End date: 2022-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The fast and reliable detection of single molecules holds the promise of revolutionising diagnostics, disease prevention as well as biological research by offering unprecedented resolution compared to bulk approaches. Based on work done as part of the ‘DesignerPore’ ERC consolidator grant (Nature Nanotechnology 2016) we will develop a benchtop device capable of detecting hundreds of molecular targets within tens of minutes. We will combine our recent development in nanopore sensing technology (JACS 2015) with machine-learning (Nano Letters 2018) and advanced statistics (arxiv 2019) to create a new versatile single molecule technique. Ultimately, our PoreDetect technology has the potential to become an integral part of handheld or wearable devices allowing real time tracking of disease markers for personalised medicine, bacterial infections or environmental contaminants. While the technique is not limited to the detection of certain molecules, for this proof-of-concept we aim to focus on sensing short oligonucleotides tens of base pairs in length, with immediate applications in the quantification of cell-free (cfRNA) and microRNA (miRNA) as cancer biomarkers.

Keywords: nanopore sensing,single molecules,nanotechnology,bionanotechnology
Dark Matter and Effective Field Theories (DMandEFT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 251002.56
EU funding (EUR): 251002.56
Participants: 2
Project status: CLOSED

The question about the nature of dark matter is central in modern physics. Recently, increasing attention has been paid to the possibility of a dark matter with mass between the keV and the GeV, whose search requires novel detection techniques, and signatures involving low energy collective excitations. I propose to apply the recently developed effective field theories for condensed matter to study the interaction between light dark matter and the collective excitations of the detector. In particular, I propose to investigate possible two-dimensional detectors via two new signatures: the excitation of out-of-plane phonons and of electron density waves due to the interaction with dark matter. The effective field theory approach to condensed matter has the advantage of being independent on the complicated details of the microscopic physics, and of being formulated in a quantum field theory language, a framework very familiar to particle physicists. For these reasons, the present proposals has the potential of addressing a key question in modern physics, while bridging the gap between the high energy nature of the question about dark matter and the condensed matter issues related to its detectability. If accepted, the program will be carried out at New York University (NYU) for the first two years, and at Sapienza University of Rome for the third one. These institutions are perfectly complementary for what concerns the successful implementation of the program. NYU hosts world leading experts in dark matter model building and phenomenology, while Sapienza hosts a research program in the design and realization of detectors for light dark matter that is at the forefront the international research on the topic. The interaction with the two research groups will allow me to develop a rather unique profile, providing me with all the necessary expertise to become a central figure in the light dark matter community and contribute to the advancement of the field.

Keywords: sub gev dark matter,direct detection,low threshold detector,effective field theories,collective excitations
Genetic contributions to inequality of opportunity (GENIO)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-16
End date: 2023-09-15
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Equal access to college education is a hallmark of egalitarian societies. This is not the case in both the United Kingdom and United States: children from low income households with high standardized test or exam scores are less likely to attend college than children with equal test scores from high income households. However, eliminating family income as a source of unequal college access may still leave inequality of opportunity to attend college and accordingly to accumulate wealth based on another family factor: genetics. Educational attainment is partially heritable, and recent studies have identified specific genetic variants. Despite both a longstanding debate and recent interest in the topic, there is no methodological framework for studying genetic contributions to inequality of opportunity. The first aim of the project is to develop this methodological framework [OB1] by exploiting bioinformatics techniques to measure genetic endowments, econometric techniques to measure returns to genes and inequality of opportunity, and by using sociological theory to interpret the findings and address any normative implications [WP1]. The considered outcomes are income, wealth, and overall health and well-being, as higher educated individuals typically enjoy longer, healthier, and happier lives in addition to higher incomes and accumulated wealth. The second aim [OB2] of the project is to apply this methodological framework to visualize how socioeconomic inequality of opportunity varies by sex and geographic location [WP2]. The third aim of the project [OB3] is explore how the population-level applications developed in [WP1] and [WP2] carry over to the individual level [WP3]. The project crosses disciplinary boundaries by incorporating knowledge and tools from genomics, econometrics, epidemiology, and sociology.

Keywords: sociogenomics,genoecomics,inequalities,genetics of education,behavior genetics,meritocracy
A SUSTAINABLE PROTECTION AGAINST WESTERN CORN ROOTWORM (CORNPROTECT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Austria
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-12-01
End date: 2021-11-30
Duration (months): 24.0
Total project cost (EUR): 1921551.25
EU funding (EUR): 1345085.88
Participants: 1
Project status: CLOSED

The Western Corn Rootworm (WCR) is a pest that has turned into a major threat to Europe’s corn production. WCR has spread to most of South East and Central Europe, affecting now 7 million hectares (37% of the European corn cultivation). With an average yield/hectare of €1,800 and damage potential between 20 and 80%, possible yield losses amount to €2,52-10,08 billion. After the ban of the highly toxic neonicotinoids within the EU, there is currently no effective protection against the WCR. Due to a lack of other solutions, today some unspecific chemical pesticides are marketed and used against the WCR with very limited effectiveness. To make it worse, these products are toxic and harmful for the environment and for beneficial insects (like bees). LITHOS has developed and patented CORNPROTECT, a biological and highly effective solution for protecting corn against WCR. It works target specific due to the release of the specific pheromone of the WCR. As a natural solution it is absolutely non-toxic and harmless for all other organisms and the environment. The specific combination of the pheromone and a highly porous mineral (zeolite) as a carrier allows a slow release of the pheromone and mating disruption over the active period of WCR adults. It’s also easy to use and affordable (costs to farmers are € 50/hectar, similar to conventional solutions). CORNPROTECT can be used in conventional and organic farming. The main objective for LITHOS in this phase 2 project is to bridge the remaining gap to commercial deployment by optimizing the current formulation, registering CORNPROTECT as EU plant protection product, scaling up existing production, and validating the product in the EU market.

Keywords: plant protection,maize,minerals,pheromone,western corn rootworm,agriculture,zeolites,gmos,diabrotica virgifera,pest,pesticides,corn,cultivation,neonicotinoids