Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Enhanced Place Finding (EPF) of TB transmission hotspots (TB-EPF)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Belgium,Belgium,Belgium,United Kingdom,United Kingdom
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-09-01
End date: 2019-02-28
Duration (months): 18.0
Total project cost (EUR): 149783.0
EU funding (EUR): 69521.75
Participants: 6
Project status: CLOSED

TB is transmitted via person-to-person aerosols. Recent studies suggests that in TB endemic areas up to 70% of transmission events take place outside the household in public places. Moreover, TB transmission is unequally spatially distributed and occurs in transmission hotspot areas. Mathematical models consequently demonstrated that identifying hotspots and blocking within-hotspot-transmission through targeted public health interventions will be the most efficient way of lowering the TB burden. In the present PoC proposal we aim to complement the population-based Enhanced-Case-Finding intervention tested in the INTERRUPTB study, with a spatially more targeted “Enhanced-Place-Finding” (EPF) approach to identify transmission hotspots in an unbiased fashion. Using traditional methods to find transmission hotspots can only be done retrospectively after years of data collection. Therefore we propose a novel EPF strategy to detect transmission hotspots in real-time using phone-tracking technology to establish a spatial map of aggregated TB patients movements. Within the ERC-funded INTERRUPTB study in The Gambia, we sequenced 2000 mycobacterial isolates, which allows us to establish a bacterial genetic transmission network. Within the PoC proposal, we seek to reconsent these patients to analyze their everyday movements using classical contact investigation complemented by phone tracking, to determine which public places have an increased risk of TB transmission. We aim to demonstrate that phone tracking of TB patients can be a cheap, easy, and, most importantly, prospective TB transmission hotspots identification tool, no longer requiring molecular epidemiological investigations. Such a finding can ultimately be developed into an app that warns national TB programs of early TB outbreaks, so that early public health measures like increased ventilation and active case finding can be initiated. This approach can furthermore be applied to other infectious diseases.

Keywords: tuberculosis transmission hotspots case finding phone tracking
Investigating Changes in Antarctic Marine Ecosystems using Environmental DNA (ICEDNA)

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: Environment and Geosciences
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-25
End date: 2019-11-24
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

The earth's climate is changing rapidly and nowhere more so than in polar regions. The Intergovernmental Panel on Climate Change has noted that polar marine ecosystems are especially vulnerable to climate change impacts, through the synergistic effects of both thermal climate changes and ocean acidification. How such impacts will transpire biologically and the flow-on effects from this are quite unclear, and there is broad acknowledgment of this scientifically and in terms of public policy. Polar ecosystems are extremely difficult to work in and gather field data from, so there is a strong need to appraise the efficacy of powerful new techniques for studying them. This project (ICEDNA) proposes to appraise and apply the nascent technique of environmental DNA (eDNA) analysis to elucidate how polar marine ecosystems respond to environmental impacts. ICEDNA leverages on recent manipulative and ecological field experiments in Antarctic nearshore ecosystems. These experiments focused on detection of fine scale human impacts from research stations and the biological impacts from ocean acidification. By marrying spatially and temporally nested eDNA data with traditional physical, chemical and biological data collection techniques, ICEDNA will yield a thorough understanding of the uses and limits of eDNA for marine (and polar) biodiversity and ecological monitoring, which is at the forefront of marine ecological research. These data will also yield unprecedented insight into (1) how polar marine communities respond to small scale human impacts and (2) how these communities respond to the large scale human impact of ocean acidification. ICEDNA combines the latest eDNA methods from Europe with the applicants extensive applied ecology experience, to produce a dynamic multidisciplinary researcher.

Keywords: environmental dna,metabarcoding,ocean acidification,polar ecosystems
Innovation driven Collaborative European Inland Waterways Transport Network (IW-NET)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Austria,Austria,Germany,Austria,Austria,Germany,Spain,Germany,Ireland,Italy,Belgium,Belgium,Belgium,Belgium,Greece,Belgium,Romania,France,France,Netherlands
Call: Moving freight by Water: Sustainable Infrastructure and Innovative Vessels (H2020-MG-2019-TwoStages, 2019)
Start date: 2020-05-01
End date: 2023-10-31
Duration (months): 42.0
Total project cost (EUR): 8302733.75
EU funding (EUR): 8302733.75
Participants: 29
Project status: SIGNED

IW-NET will deliver a multimodal optimisation process across the EU Transport System, increasing the modal share of IWT and supporting the EC’s ambitions to reduce transport GHG emissions by two thirds by 2050. Enablers for sustainable infrastructure management and innovative vessels will support an efficient and competitive IWT sector addressing infrastructure bottlenecks, insufficient IT integration along the chain and slow adoption of technologies such as new vessel types, alternative fuels, automation, IoT, machine learning. The Living Lab will apply user-centered application scenarios in important TEN-T corridors demonstrating and evaluating the impacts in simulations and tests covering technological, organisational, legal, economical, ecological, and safety/security issues: 1) Digitalisation: optimised planning of barge operations serving dense urban areas with predictive demand routing (Brussels-Antwerp-Courtrai-Lille-Valenciennes); data driven optimisation on navigability in uncertain water conditions (Danube). 2) Sustainable Infrastructure and Intelligent Traffic Management: lock forecasting reducing uncertainty in voyage planning; lock planning; management of fairway sections where encounters are prohibited; berth planning with mandatory shore power supply and other services (hinterland of Bremerhaven via Weser/Mittelland Canal). 3) Innovative vessels: new barge designs fitting corridor conditions and target markets: barges with a high degree of automation for urban distribution (East Flanders-Ghent); new barge for push boats capable with low/high water levels optimising capacities (Danube from Austria to Romania); use of GALILEO services for advanced driver assistance like guidance, bridge height warning and automatic lock entering (Spree-Oder waterway close to Berlin). Accompanying activities are stakeholder engagement, capacity building, and the delivery of a European IWT development roadmap with policy recommendations for increasing the IWT share.

Keywords: automation,technologies,simulation,traffic management,sychromodality,city serving,small ports
Singular Stochastic Dispersive Dynamics (SingStocDispDyn)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: United Kingdom
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-03-01
End date: 2026-02-28
Duration (months): 72.0
Total project cost (EUR): 1920968.0
EU funding (EUR): 1920968.0
Participants: 1
Project status: SIGNED

This proposal is concerned with the study of singular stochastic dispersive partial differential equations (PDEs), broadly interpreted, with stochastic forcing and / or random initial data. This is a young emerging field, attracting more and more attention. In recent years, we have witnessed outstanding advances in the theory of singular stochastic parabolic PDEs. Our understanding of the dispersive counterpart is, however, much poorer. The main objective of this proposal is to develop novel mathematical ideas and tools and fundamentally advance our understanding of singular stochastic dispersive PDEs by working on concrete examples of challenging open problems. Over the last ten years, there has been significant progress at the interface of dispersive PDEs and stochastic analysis and I have been one of the leading mathematicians in this development. In particular, my recent work on the three-dimensional stochastic nonlinear wave equation (NLW) with a quadratic nonlinearity has opened up new research horizons, which we will explore in this proposal. 1. We will investigate the well-posedness issue of the three-dimensional (damped) stochastic cubic NLW with an additive space-time white noise. The solution theory for the parabolic counterpart (the so-called stochastic quantisation equation) was settled by Hairer (2014). The corresponding question for the wave equation is one of the major open questions in this field. We will develop a paracontrolled approach to solve this challenging open problem. Moreover, we address other related problems of independent interest, including the two-dimensional hyperbolic sine-Gordon model, diffusive scaling limit of damped stochastic NLW and singular stochastic nonlinear Schrödinger dynamics. 2. We will also build a pathwise solution theory for stochastic dispersive PDEs with multiplicative noises by combining the Fourier restriction norm method and the rough path theory.
Microbial Communities in Biomedical and Environmental Areas, and Systems Biology (MiCoBion)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Germany,Belgium,France,Czechia
Call: Twinning (H2020-WIDESPREAD-05-2017-Twinning, 2017)
Start date: 2018-09-01
End date: 2022-11-30
Duration (months): 51.0
Total project cost (EUR): 998205.0
EU funding (EUR): 998205.0
Participants: 6
Project status: CLOSED

The main goal of the proposed project is to strengthen scientific excellence and innovation capacity at Charles University and its Biotechnology and Biomedicine Center (CUNI-BIOCEV) via collaboration with Catholic University of Leuven (KUL), European Molecular Biology Laboratory (EMBL), and University Paris Diderot-Institute Jacques Monod (UPDiderot-IJM) in the field of high throughput molecular profiling of biological systems that will foster innovative research of complex microbial communities and their impact on health and environment. This research area includes the analysis of viromes, eukaryotic and bacterial microbioms, and selected defined model microbial communities to tackle challenges such as discovery of new pathogens (viruses), identification of new biomarkers for disease, drug targets and their applications. The research of complex microbial communities is based on three pillars: excellent knowledge in microbiology, high throughput technologies that generate voluminous datasets, and computation of these "big data". Strength of CUNI is an excellent knowledge of microbial systems important for human and animal health, and environmental issues. Weakness is the research capacity in analysis of "big data", limited experience in innovative research and technology transfer. Thus, twinning activities will be focused on promotion of knowledge and research capacity of a multidisciplinary team at CUNI in the defined area of bioinformatics, implementing cutting edge multiomics technologies, and establishing a pipeline from an excellent basic research to high value-added applications. Activities include exchange of scientists, joint supervision of young scientist, organization of seminars and lectures, participation in EMBL and CUNI courses, and dissemination in scientific community, industries and public. The project aim will be achieved via a complementary expertise of EU leading partners, which will reinforce an excellent research and competitiveness of CUNI.

Keywords: virome,microbiome,omics,microbial communities,microscopic ecosystems,pathogen,health,environment
Uncovering the epigenetic signature of female-specifiC biological networks and key driver genes of coronary ArteRy diseasE (UCARE)

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: Netherlands
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): 1999979.0
EU funding (EUR): 1999979.0
Participants: 1
Project status: SIGNED

Cardiovascular disease causes 51% of deaths in women and 42% of deaths in men in Europe. Women are contributing mostly to the worrying trend of increases in hospitalizations for coronary artery disease (CAD) at younger ages. Missed and delayed diagnoses in women are more common than in men, as the pathophysiology of CAD in women is different than in men. Men often have atherosclerotic plaque rupture as underlying mechanism for CAD whereas women more often suffer from plaque erosion. Plaque erosion refers to thrombus formation on top of an intact non-ruptured plaque in the coronary artery. Early recognition of plaque erosion will, therefore, specifically aid in the diagnosis of CAD in women. However, knowledge on CAD and plaque erosion in women is lagging behind. This is due to the underrepresentation of women in clinical trials for CAD and biobank studies. This gap is now only gradually being recognized in research, but not yet fully addressed as pooling of data from both sexes is still common practice. My research efforts have convincingly contributed to the awareness that sex differences in human diseased vascular tissue are relevant. With my group I have shown that sex differences are specifically evident in regulatory gene networks and key player genes for CAD. This also corresponds with sex-specific epigenetic signatures of atherosclerotic plaques, and human endothelial gene expression patterns. In UCARE, I propose to utilize vascular tissues and plaque samples from well-powered studies to analyze these by sex to a single-cell level. This approach will identify female-specific key player genes in individual cells of plaques and unravel clinically relevant female-specific biology of CAD and plaque erosion. These findings will be translated to systemically expressed DNA methylation profiles in cell free DNA in plasma to move towards early diagnostics. This is a necessary and challenging step towards closing the diagnostic gap between men and women.

Keywords: gender,coronary artery disease,diagnosis,pathophysiology,plaque erosion
Graphical Models for Complex Multivariate Data (GRAPHMODE)

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: Germany
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 1971296.0
EU funding (EUR): 1971296.0
Participants: 1
Project status: SIGNED

Modern science increasingly relies on insights gained from sophisticated analyses of large data sets. An ambitious goal of such data-driven discovery is to understand complex systems via statistical analysis of multivariate data on the activity of their interacting units. Probabilistic graphical models, the topic of this project, are tailored to the task. The models facilitate refined yet tractable data exploration by using graphs to represent complex stochastic dependencies between considered variables. Models based on directed graphs, in particular, provide the state-of-the-art approach for detailed exploration of cause-effect relationships. However, modern applications of graphical models face numerous challenges such as key variables being latent (i.e., unobservable/unobserved), lacking temporal resolution in studies of feedback loops, and limited experimental interventions. Often arising in combination, these issues generally result in observed stochastic structure that cannot be characterized using the established notion of conditional independence. As a result, we are left with only a partial understanding of which aspects of a system can be inferred from the available data, and we lack effective methods for fundamental problems such as inference in the presence of feedback loops. The aim of the new project is to move beyond conditional independence structure to obtain a deeper understanding of the inherent limitations on what can be inferred from imperfect measurements, and to design novel statistical methodology to infer estimable quantities. The unique feature of the proposed work is a focus on algebraic relations among moments of probability distributions and the subtle statistical issues arising when such relations are to be exploited in practical methodology.

Keywords: probabilistic graphical models,multivariate statistics,causal inference,msc2010 62hxx multivariate analysis
Influence of Brain-Stomach Interactions on Hunger, Satiety and Brain Function (BRAINSTOM)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: SIGNED

Hunger, satiety and feeding are complex phenomena exerting a profound influence on health and wellbeing. Hunger, or the mental urge to eat, is often associated with the feeling of an empty stomach. Satiety refers to a cascade of physiological, neural and metabolic mechanisms that inhibit further eating. Importantly, the decision making process in the brain that determines what, when and how much we eat is modulated by subconscious signals from the gut that can activate the brain’s dopaminergic system and reinforce dietary habits, explaining why so many people struggle to make healthy food choices and why the prevalence of obesity in developed countries is so high. Scientific knowledge on the brain-gut mechanisms behind hunger and satiety is incomplete, limiting our ability to develop efficient therapies and public policies targeting obesity and overweight. In BRAINSTOM, I have designed an innovative research program to study how the brain’s signatures of hunger and satiety are linked to the movements and contractions of the stomach, combining my previous expertise in the simultaneous recording of the stomach and functional magnetic resonance imaging in humans with research methods from nutrition and metabolism and recent advances in positron emission tomography of the dopaminergic system. The three key hypotheses of my research proposal are that i) hunger feelings are associated with measurable changes in movements and contractions of the stomach ii) as food transits through the stomach, the brain releases dopamine and satiety feelings arise iii) the electrical activity of the stomach interacts with cortical, subcortical and neuromodulatory brain structures, influencing brain activity, interoception and cognitive functions beyond feeding. These findings will inform novel theories of brain-body interactions and will lead to the development of novel psychological and pharmacological interventions to reduce obesity and overweight.

Keywords: brain,stomach,satiety,hunger,dopamine,resting state
HYDROGEN AND PHOTOVOLTAIC ELECTRIFICATION ON FARM (HyPErFarm)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Germany,Belgium,Belgium,Netherlands,Denmark,Denmark,Denmark
Call: Defossilising agriculture – solutions and pathways for fossil-energy-free farming (H2020-FNR-2020-1, 2020)
Start date: 2020-11-01
End date: 2024-10-31
Duration (months): 48.0
Total project cost (EUR): 5703694.73
EU funding (EUR): 5178085.75
Participants: 15
Project status: SIGNED

The sustainable development goals of the UN and climate targets of the EU require that all economic sectors sharply reduce fossil-based use. However, the agricultural sector has the potential to not only greatly defossilize, but even produce energy – and that not to the detriment of, but alongside with food production. Photovoltaic (PV) has become dramatically more competitive relative to other renewable energy sources, and is now as competitive as wind power. Currently, PV-parks are installed on large land areas, leading to loss of land for cultivating crops. The ideal solution is provided by combined agro-voltaic systems with dual land use for crop production and simultaneous power production. HyPErFarm joins multiple types of actors with the objective to optimize viable agrivoltaic business models as well as test the marketability of the products, via inclusion of new innovative PV technologies (PV H2-production, bifacial PV-panels), radically new crop production systems, stakeholder innovation workshops, and citizen-consumer acceptance, public perception analysis and farmer adoption studies. HyPErFarm also develops and demonstrates new ways of utilizing and distributing the energy produced on-farm via heat pumps, e-robots, hydrogen production, storage and use, and e-driven pyrolysis of biomass side-streams that captures carbon while also improving soil quality. The project’s impact is that agrivoltaic systems are moved upwards to TRL7-8, and attractive new business models are accessible for farmers. HyPErFarm thus supports a game-changing radical innovation and contributes to the building of a low fossil-carbon, climate-resilient future EU farming that can also supply local communities with power and hydrogen. HyPErFarm partners have the ability to adopt and further develop the new farming practices, to provide the new technologies required, and to adopt new APV-business models that will allow continued food production on land used for power production.

Keywords: agrivoltaic system,solar power,hydrogen and electricity on farm production and usage,fossil free farming