Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Breaking Bad Biofilms. Innovative Analysis and Design Rules for Next-Generation Antifouling Interfaces (BREAK BIOFILMS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain,Germany,Ireland,Italy,Germany,Ireland,Spain,Ireland,Denmark,United Kingdom,Denmark,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-01-01
End date: 2023-04-30
Duration (months): 52.0
Total project cost (EUR): 4033858.32
EU funding (EUR): 4033858.3200000003
Participants: 17
Project status: SIGNED

Biofilms, i.e. communities of micro-organisms that attach and grow on a solid surface, cause about 80% of infections in humans and disinfectants rarely succeed in destroying them. They cost European economy billions of euro annually. The BREAK BIOFILMS Training Network aims to solve this issue by training the next generation leaders. They will understand the (bio)physicochemical mechanisms of biofilm formation, be able to produce technology for detecting and identifying biofilm formation with extreme sensitivity, and develop next generation biocides for preventing and destroying biofilms in industrial and biomedical areas. This integrated strategy from biofilm detection to destruction that builds on key innovations from the partner labs, is globally distinctive and promises significant progress. The network brings together world leaders in sensors, cell imaging, microbiology, interfacial engineering and nanoformulation from 6 universities, 9 companies, a research centre, and a Business and Innovation Centre. Thus, it is ideal to provide technical, industrial and business training to 15 ESRs and support the missions of the industry partners who will provide deep insights into the most pressing and impactful challenges. The graduates will be ideally placed to enter and support existing European industry across a number of different sectors (biomedical, food, antimicrobials). However, they will also be capable of creating new businesses thanks to a combination of in depth training in entrepreneurship and direct experience of establishing and running a virtual company as part of the training network. Beyond the trained researchers, this project will produce technologies that will enhance the productivity of European industry, create intellectual property with a strong probability of commercialization and improve the health and well-being of European citizens by minimizing infection rates and the inappropriate use of ineffective biocides that is leading to resistance.

Keywords: microbiology,nanoantimicrobials,characterization methods of materials,bacteria,surfaces,ultrasensitive detection,rare cell detection,nanoelectrochemistry,biofilms,biocides,nanobiotechnology
The MULTIPLicity of supErnova progenitorS (MULTIPLES)

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: Belgium
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 1991243.0
EU funding (EUR): 1991243.0
Participants: 1
Project status: SIGNED

With stellar masses in the range of eight to several hundreds of solar masses, massive stars are among the most important cosmic engines, each individual object strongly impacting its local environment and populations of massive stars driving the evolution of galaxies throughout the history of the universe. Recently, I have shown that stars more massive than 15 Msun rarely, if at all, form and live in isolation but rather as part of a binary or higher-order multiple system. Understanding the life cycle of massive multiple systems, from their birth to their death as supernovae and long-duration gamma ray bursts, is one of the most pressing scientific questions in modern astrophysics. To obtain the key observational breakthroughs needed to revolutionize our understanding of high-mass stars, my research program is developed along three themes: (i) investigate the physical processes that set the multiplicity properties of massive stars, (ii) establish the multiplicity properties of unevolved massive stars across the entire mass range, (iii) identify and uniquely characterize post-interaction products. The implementation of the MULTIPLES program involves ambitious time-resolved observational campaigns targeting large populations of massive stars at key stages of their pre-supernova evolution and in different metallicity environments. These campaigns will combine state-of-the-art spectroscopy and high-angular resolution techniques with novel multiplicity and atmosphere analysis methods appropriate for multiple systems. Upon completion, the observational constraints that will be obtained in this project will have implications that extend well beyond the sole domain of stellar astrophysics.

Keywords: massive stars,binary stars,observational astrophysics
Novel Automated System for Farming of European Lobster (AUTOMARUS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-11-01
End date: 2022-07-31
Duration (months): 33.0
Total project cost (EUR): 1875875.0
EU funding (EUR): 1313112.5
Participants: 1
Project status: CLOSED

European lobster (EL, Homarus gammarus) is among the most exclusive shellfish products worldwide, but stocks collapsed in the 1950s and have not recovered in the decades since. The global demand for lobster far exceeds supplies, and neither EL nor capture production of lower-quality American lobster (H. americanus, AL) can fill the market gap. With the price of EL at €25-35/kg, the European seafood industry is missing out on a clear market opportunity. Land-based aquaculture is the remaining alternative, but current aquaculture methods are practically, technologically and commercially unviable as lobsters are highly cannibalistic and cannot be reared in groups but must be cultured in individual cages necessitating unfeasibly high personnel costs. Tha aim of the AUTOMARUS project is to mature, prototype, pilot and implement the first Recirculating Aquaculture System (RAS) based EL farming solution in individual cages using fully automated feeding and real-time monitoring and robotic lobster handling for the production of European Lobster. Our innovative solution will thus enable profitable and sustainable large-scale production of high quality EL for the first time to fit the market gap and create a novel value chain for farmed EL. The AUTOMARUS project will be run by a strong mnagement team with a proven track record in lobster aquaculture, engineering and robotics/automation as well as managing and scaling R&D-intense companies. With a production target of 1,000 tonnes by year 5 after project end, NLF will be the sole supplier of farmed EL and expect to take a 16% share of the European lobster production market and 8% the total market for EL and AL across EU and Asia.

Keywords: land based,lobster farming,value chain innovation,robotics,automation
Geohazards: Risk Assessment, Mitigation and Prevention (GEO-RAMP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria,Spain,Saudi Arabia,Argentina,China,Bolivia, Plurinational State of,France,France,United States,United Kingdom,Kazakhstan,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2014, 2014)
Start date: 2015-04-01
End date: 2019-03-31
Duration (months): 48.0
Total project cost (EUR): 2146500.0
EU funding (EUR): 1804500.0
Participants: 14
Project status: CLOSED

This proposal aims to provide a step change in terms of our capacity to assess and predict risks due to geohazards (landslides and rock slides, earthquakes, floods). This is necessary in order to make built environments and infrastructures resilient to the increasing threat of natural hazards due to the expanding size of European cities and urban centres, increased use of infrastructure, and the effect of increased climatic variations. To achieve this we will bring together the complementary expertise of world leading academic groups in geotechnical, geoenvironmental and seismic engineering, soil and rock mechanics, seismology, hydrology, geology together with private engineering software companies. The goals of this proposal are: i) to investigate the key physical-mechanical aspects of major geohazards (landslides, earthquakes, floods) with a multi-disciplinary approach in order to bridge the current gaps in knowledge and enable a step-change in the current capabilities of risk assessment, prevention, and mitigation; ii) to generate new approaches to predicting geohazards by creating an international, interdisciplinary and intersectoral group which will combine existing knowledge to generate new research methodologies and applications by enabling knowledge exchange among researchers with expertise in complementary research fields; iii) to train several Early Stage Researches (ESRs) during their stay at the host Institution who will form the next generation of researchers for academic and industrial applications; iv) to improve the current normative standards and codes ruling geohazard prevention; v) to provide a competitive edge to European engineering software companies modelling geohazards.

Keywords: landslides,floods,earthquakes,risk assessment
Emergent Constraints on Climate-Land feedbacks in the Earth System (ECCLES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-10-01
End date: 2023-09-30
Duration (months): 72.0
Total project cost (EUR): 2249834.0
EU funding (EUR): 2249834.0
Participants: 1
Project status: SIGNED

The Land Biosphere is a critical component of the Earth System, linking to climate through multiple feedback processes. Understanding these feedback processes is a huge intellectual challenge. In part because of the pioneering work of the PI (Cox et al., 2000), many of the climate projections reported in the IPCC 5th Assessment Report (AR5) now include climate-carbon cycle feedbacks. However the latest Earth System Models (ESMs) continue to show a huge range in the projected responses of the land carbon cycle over the 21st century. This uncertainty threatens to undermine the value of these projections to inform climate policy. This project (ECCLES) is designed to produce significant reductions in the uncertainties associated with land-climate interactions, using the novel concept of Emergent Constraints - relationships between future projections and observable variations in the current Earth System that are common across the ensemble of ESMs. Emergent Constraints have many attractive features but chief amongst these is that they can make ensembles of ESMs more than the sum of the parts - allowing the full range of ESM projections to be used collectively, alongside key observations, to reduce uncertainties in the future climate. The project will deliver: (i) a theoretical foundation for Emergent Constraints; (ii) new datasets on the changing function of the land biosphere; (iii) Emergent Constraints on land-climate interactions based on observed temporal and spatial variations; (iv) a new generation of scientists expert in land-climate interactions and Emergent Constraints. ECCLES will benefit from the expertise and experience of the PI, which includes training as a theoretical physicist, an early career developing models of the land biosphere for ESMs, and a current career in a department of mathematics where he is at the forefront of efforts to develop and apply the concept of Emergent Constraints (Cox et al., 2013, Wenzel et al., 2016).

Keywords: land climate interactions and feedbacks,earth system models,emergent constraints
Decision making: from neurochemical mechanisms to network dynamics to behaviour (NEODYNE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-12-01
End date: 2025-11-30
Duration (months): 84.0
Total project cost (EUR): 1903698.0
EU funding (EUR): 1903698.0
Participants: 1
Project status: SIGNED

How we decide between different alternatives is a central question to cognitive neuroscience. Decisions may appear trivial (selecting between two meals), or sophisticated and long reaching (deciding whom to marry). Decisions constitute a highly dynamical process of evidence accumulation. These dynamics can be represented in cortical oscillations, which have attracted great interest as a key mechanism that coordinates fast computations. While a few studies have investigated the role of cortical oscillations in decision making, the underlying mechanisms translating neurochemical activity into network dynamics and ultimately into choice remain unknown. Although neuromodulator effects are well described at the cellular level, their network effects during high-level behaviours are not well understood. There is however evidence that neuromodulators also control cortical oscillations and that this may have behavioural relevance. For a mechanistic understanding of human decision making, it is essential to (1) study its fast temporal cortical dynamics and (2) understand how neurochemical signalling gives rise to network dynamics and ultimately to cognition. Biophysical network models are excellent tools for linking these different levels of investigation. Such an understanding is critically important not only from a basic science perspective, it will also further our understanding of psychiatric diseases, which are often characterized by anomalies in neurochemical systems, neural oscillations and decision making. The novel approach that is core to this proposal is to investigate whether and how neurochemical systems guide decision behaviour by modulating cortical dynamics. To achieve this ambitious goal, I will use a combination of imaging methods with computational modelling, pharmacological challenges and electrical brain stimulation. This new approach will allow me to move towards a mechanistic understanding of the systems-level dynamics underlying decision making.

Keywords: decision making,cognition,cortex,neural oscillations,neurochemical mechanisms,computational modelling,magnetoencephalography
A novel wearable medical device and eHealth system to improve the mobility of patients with hemiparesis (MovEAID)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Germany
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

REMOD is a young German SME with 6 employees, specialized in rehabilitation technology and rehabilitative medicine. We deliver innovativ training for chronically ill patients, and develop rehabilitation devices linked to the training content. One in five people experience a stroke at some point in their lives, and half of all strokes lead to paralysis of one side of the body, called hemiparesis. There are around 550,000 hemiparesis cases per year in the EU. Strokes cost the EU about €34.3 billion per year, of which €17 billion is spent on the treatment of hemiparesis. These costs do not include indirect costs due to incapacity to work, or unpaid care provided by relatives and friends. As such, strokes and hemiparesis are of great socioeconomic importance. Since there is no known cure for hemiparesis, treatment focuses on rehabilitation to minimise further loss of body function and reduce pain, muscle regression, or spastic paralysis due to reduced mobility. Existing rehabilitation methods includes: weak dorsiflexion, orthosis, hippotherapy and the use of therapeutic and neurorehabilitation devices. Such rehabilitation accounts for €8 billion per year of direct costs in the EU. Mobility improvements can be made with intense physiotherapy, but these improvements are not lasting due to brain damage which affects movement memory. Currently no solution exists that leads to a lasting improvement in the mobility of hemiparesis patients. We have developed, patented, and demonstrated (to TRL6) a novel wearable medical device which is embedded into a special vest to correct the posture and movement of patients suffering from hemiparesis and are now miniaturizing the device and developing the MovEAid eHealth system, containing the device and vest, for use by hemiparesis patients and health care professionals. With the help of the SME instrument, we now like to scale up our Minimal Viable Product to TRL9 and aim to bring the initial MovEAid system to the Market in 2020.

Keywords: hemiparesis,rehabilitation,ehealth,neurorehabilitation device,maes motion activated electrical,stimulation,biofeedback,multichannel device
Mixed-Integer Non-Linear Optimisation Applications (MINOA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Germany,Austria,Germany,Germany,Germany,Italy,Italy,Italy,Italy,Germany,Switzerland,France,France,Netherlands,Netherlands,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2021-12-31
Duration (months): 48.0
Total project cost (EUR): 3016287.44
EU funding (EUR): 3016287.44
Participants: 20
Project status: CLOSED

Building upon the achievements of the Marie-Curie ITN Mixed-Integer Non-Linear Optimization (MINO) (2012 - 2016), the goal of the Mixed-Integer Non-Linear Optimisation Applications (MINOA) proposal is to train the next generation of highly qualified researchers and managers in applied mathematics, operations research and computer science that are able to face the modern imperative challenges of European and international relevance in areas such as energy, logistics, engineering, natural sciences, and data analytics. Twelve Early-Stage Researchers (ESRs) will be trained through an innovative training programme based on individual research projects motivated by these applications that due to their high complexity will stimulate new developments in the field. The mathematical challenges can neither be met by using a single optimisation method alone, nor isolated by single academic partners. Instead, MINOA aims at building bridges between different mathematical methodologies and at creating novel and effective algorithmic enhancements. As special challenges, the ESRs will work on dynamic aspects and optimisation in real time, optimisation under uncertainty, multilevel optimization and non-commutativity in quantum computing. The ESRs will devise new effective algorithms and computer implementations. They will validate their methods for the applications with respect to metrics that they will define. All ESRs will derive recommendations, both for optimised MINO applications and for the effectiveness of the novel methodologies. These ESRs belong to a new generation of highly-skilled researchers that will strengthen Europe'e human capital base in R&I in the fast growing field of mathematical optimisation. The ESR projects will be pursued in joint supervision between experienced practitioners from leading European industries and leading optimisation experts, covering a wide range of scientific fields (from mathematics to quantum computing and real-world applications).

Keywords: mixed integer nonlinear optimization,applications energy,analytics,,exact algorithms,approximation,reformulation,decomposition,optimization under uncertainty,discrete optimal control
Novel vaccine vectors to resist pathogen challenge (VacPath)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Italy,Switzerland,Sweden,Netherlands,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 2701874.16
EU funding (EUR): 2701874.16
Participants: 8
Project status: SIGNED

Infectious diseases are a major burden and constant threat to European populations and economies. While barely perceived as a danger not too long ago, a combination of potential rapid spread of novel pathogens across the globe, antibiotics resistance, a come-back of “old” pathogens and persistence of yet to be combated pathogens has raised the demand for effective but safe vaccines. An example of a yet to be combated pathogen is the obligate intracellular bacterium Chlamydia trachomatis. This pathogen is the major cause of sexually transmitted bacterial disease in humans, and poses a world-wide health concern. While responsive to antibiotics, re-infections frequently occur, urging the need for a prophylactic vaccine. Nevertheless, insufficient knowledge on how to vaccinate against intracellular pathogens hampers the development of such vaccines. In the proposed project, 5 academic and 2 private partners will cooperate to educate early stage researchers (ESR) in the diverse aspects of novel vaccine development. ESR will design and construct innovative and safe virus-, bacterium-, and plasmid-based vaccine vectors that induce both cell-mediated and humoral immunity, to control infections with intracellular pathogens. They will test these vaccines and improve their efficacy in preclinical models of C. trachomatis infection, and unravel the cellular and molecular mechanisms underlying the induction of protective immune responses, to uncover possibilities for general vaccine vector optimisation. The end-result will be a new generation of safe vaccine vectors that can be exploited to vaccinate against C. trachomatis, and can be adapted to vaccinate against further intracellular pathogens of choice. Moreover, this project will educate a new generation of scientists that, through the offered, integrated training, will be ready to enter the European task force, in academia or industry, to find creative solutions to future pathogen-imposed challenges.

Keywords: infectious diseases,intracellular pathogens,vaccine technology,immune protection,cd8 t cells