Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
CHARGE@HOME: A SOFTWARE THAT ENABLES FAST CHARGING SERVICES FOR ELECTRIC VEHICLES AT HOME (ChargeAtHome)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Spain
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-04-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Current charging infrastructure for EVs causes range anxiety, the fear that an EV has insufficient range to reach its destination, one of the major barriers to large scale adoption. It makes sense to foresee that EVs will be usually charged at night when users arrive home from work, so EVs could have a significant impact on the peak demand of electricity at certain times. Apart from these predictable charging patterns, sometimes users might need charging batteries in a fastest way due to unforeseen travels, emergencies or because the user forgot to plug the vehicle in charge. However, maximum power to be used per customer is limited by a power contract in many countries. Solving these limitations is a priority in the EU. Charge@Home SW is the unique smart charging technology for EV in the world that allows DSOs to determine maximum power drain for each user depending on actual network availability, thus enabling fast charging services that reduce EV charging time from 8h to 1h and eliminate range anxiety. It will reside on DSO’s server and it will work as follows: •The SW will automatically recognize any new charger station and link it to the network grid connectivity. Besides, it will make a forecast of what “usual” loads will feed from the network per hour based on historical consumption. •Whenever any connected EV charger asks permission to charge at a certain rate, the SW calculates power availability of the grid and tells the smart charger how much load it can feed from the network, and what the price it will be. Final users of Charge@Home product are EV drivers who will profit from: fast charging services and flexible energy rates depending on energy availability. Main customers of Charge@Home SW are DSOs. Main novelty is to provide them with a smart charging system that increase power system flexibility, taking the maximum of existing LV grids and creating a new service for EV users to reduce charging times from 8h to 1h whenever needed, paying an extra cost.

Keywords: low voltage lv,electric vehicle ev,distribution grid,connectivity,software sw,network monitoring,fast charging,range anxiety,smart charging,electromobility
A simple, reliable and safe diagnostic device for preterm birth prevention (Pregnolia)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Approximately 135 M babies are born yearly worldwide, of which 14.94 M are born at pre-term. Only in Europe 5.1 M babies are born annually, of which >0.38 M are born at pre-term. Babies born before 37 weeks are premature and can have short- and long-term medical problems or die in 7% of the cases. Thus, European health cost are estimated in €50,000 per premature baby, this is, ~€20 billion per year. However, there are no fully reliable methods to diagnose the risk of preterm birth (PTB) to date and only 40% of women at risk are detected. Ultrasounds, biomarkers blood and fetal/placenta protein analysis are the main alternatives, but none of them solve the current problem. Thus, the remaining 60% women at risk cannot be benefited from preventing preterm birth therapies. These women will most likely have a spontaneous and uncontrolled preterm birth, which is extremely dangerous for baby and mother, leading to long-term health baby problems. In response, we have developed Pregnolia device to determine the risk of preterm birth. Our patented device is the first one in the market based on the determination of cervical tissue stiffness, which has twice the sensitivity to the ultrasounds “gold standard”. The device is formed by a reusable control unit with a disposable single-use probe. It is simple, safe, easy to use and integrated into routine gyneacological consultations. With our solution, the majority of women, 80% out of 100% at risk, can be treated to prevent premature birth. Thus, Pregnolia diagnosis will enable gynecologists to take key decisions about preterm birth management (bed rest and hormone medication) and pregnant women will be able to adapt their lifestyle. Our device will enable a reduction of PTBs costs of 42%, which could represent savings up to 8.4 € billion for the EU healthcare system. Furthermore, after 4-year sales, it will give net revenues of ~€99 M, net profits of ~€56 M and considering the investment of €8M, a ROI of ~7 euro per € invested.

Keywords: medical device,high risk pregnancies control,gynecologist practices,preterm birth risk control
One orchestrator for all kinds of clouds (Wotan)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Since there is not one-fits-all cloud approach, more and more companies demand the combination of multiple clouds to meet their needs. Against this background, technologies and techniques to manage resources and services will play a central role in the development of Hybrid clouds and multicloud. The boost in the number of companies with Hybrid Clouds and multiclouds call for new innovations to orchestrate services in order to facilitate the programmatic provisioning and releasing of resources. Walhalla Data Centre Services is a technology company that has the knowledge, experience and infrastructure to provide PUBLIC, PRIVATE or HYBRID CLOUD Solutions with open orchestrator for mission-critical data and applications. We have developed WOTAN to overcome management of resources complexities in hybrid and multicloud cloud architectures. WOTAN is able to orchestrate the widest variety of public and private clouds with Multi-cloud and Hybrid clouds solutions. WOTAN offers some unique capabilities. • Automatic replication of a virtual data centre between two clouds. • Mechanism to automatically move a virtual machine with a critical application from a host that goes down to other host. • Bidirectional transfer of data between a Cloud and an EFS&S solution (Enterprise File Sharing & Synchronization). We think that these capabilities imply a disruptive innovation in the field of cloud orchestration and they are highly demanded by the market. We are sure that they will position us as a new leader company in the provision of cloud infrastructure. For that reason, WOTAN will play a central role in the evolution of Walhalla DCS and it will be the product that will allow us to address the market with a global ambition. Our first estimations show that this platform will require an investment of 1.35M€ and would suppose the creation of 20 jobs and a ROI of 6.26

Keywords: cloud orchestration,private cloud,hybrid cloud,multicloud
Unravelling the Interplay between Metabolism, Gut Microbiome and Adaptive Immunity in Amyotrophic Lateral Sclerosis (MegaALS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Sweden
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2018-11-01
End date: 2024-10-31
Duration (months): 72.0
Total project cost (EUR): 1499196.0
EU funding (EUR): 1499196.0
Participants: 1
Project status: SIGNED

Amyotrophic lateral sclerosis (ALS) is a rare but devastating neurodegenerative disorder that in lack of effective treatments leads to death within a few years of diagnosis. ALS is increasingly being recognized as a systemic disease affecting not only the central nervous system but also other physiological aspects. We hypothesize that there is a disease-specific interplay between metabolism, gut microbiome and adaptive immunity, which substantially contributes to the etiopathogenesis of ALS. The overarching aim of this project is therefore to explore such interplay, and to assess the effectiveness of a treatment regimen that specifically targets it. Using a population-based case-control study of ALS in Stockholm, I will first characterize the complex interactions between metabolism, microbiome, and immunity in ALS, through comprehensive proteomic, metagenomic and immune-response profiling. The specificity of these interactions will be tested in contrast to healthy individuals at high risk for ALS (siblings), individuals with similar environmental and lifestyle factors (spouses), and unrelated population-controls. I will then use an established ALS mouse model (SOD1G93A) to understand the usefulness of combining a high-caloric diet with a fecal microbiota transplant from healthy human donors in disease prevention and treatment. To better understand the underlying mechanisms, I will compare microbiome and immune-response profiles before and after the intervention. The proposed research is unique as it 1) combines innovative molecular platforms with a high-quality epidemiological study design, 2) uses a novel strategy of investigating multiple aspects of human physiology, and 3) offers a possibility to directly translate findings between human observational and animal experimental studies. The ultimate goal is to significantly advance our knowledge about ALS as a disease, and more importantly to identify novel and highly warranted preventive and therapeutic targets.

Keywords: amyotrophic lateral sclerosis,metabolism,gut microbiome,adaptive immunity,case control study,molecular epidemiology,transgenic model,fecal microbiota transplant,translational research
Evaluating the conservation effectiveness of alternative land management scenarios using a state-of-the-art eco-evolutionary modelling platform (ConservaTEAM)

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: Environment and Geosciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Human population growth is placing ever increasing demands on using land for housing and for food and fuel production1. This demand is driving rapid land use change across much of the globe, in particular in developing countries, which poses a major threat to biodiversity and the ecosystem services it provisions. Simultaneously, climate is changing rapidly, and thus biodiversity faces the joint threat of land use and climate change; not only will species need to be able to persist in heavily degraded landscapes, but they are likely to have to shift their ranges through highly fragmented habitat patches embedded within a hostile matrix. A key role for applied ecology over the coming years will be to provide clear recommendations on how conservation activities can optimise the landscape structure such that as much biodiversity as possible is likely to be retained. There is a need for new tools that can help stakeholders, including land planners and managers, make informed decisions. In this project, I will use a novel, individual-based modelling platform, RangeShifter to test, in silico, the likely effectiveness of alternative future land management scenarios in terms of their ability to protect forest bird biodiversity. As a case study, the project will focus on the Eastern Arc Mountain Range (EAM) in Kenya and Tanzania, a region of exceptional biodiversity and endemism, but which has lost most (80 %) of its native forest cover. An important aspect of the project is that it seeks co-production of knowledge with stakeholders, who will be actively involved throughout in terms of developing and evaluating the effectiveness of alternative scenarios.

Keywords: conservation planning,individual based model,participatory methods,stakeholder engagement,co production of knowledge
testinG massivE STar formATion modEis (GESTATE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-01
End date: 2017-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The classic problem in the formation of high-mass stars is that, for all stars above ~20 Msun, the outward force exerted by the stars radiation on the dusty circumstellar gas should be capable of reversing or halting accretion flows. Core fragmentation, pressure from the expanding ionised gas, magnetic fields and mass loss through stellar winds, all work against the effects of gravity, thereby restricting the final stellar mass. Advances in theoretical models, aided by numerical simulations (e.g. adaptive mesh refinement), have proposed elegant solutions; for example, the interaction between radiation and the dense circumstellar gas is subject to radiation-Rayleigh-Taylor instability, creating low opacity chimneys to vent out the radiation pressure. Likewise, heated cores and disks are stable against Jeans fragmentation. The exact manifestation of these issues and their solutions vary significantly between theories, and the physical structures found around embedded, still accreting massive stars provides a strong discriminator between models. Therefore, this research project aims to better understand the physical conditions of the gas and dust structures within the 500-5000 AU regions of infant high-mass stars by using adaptive-optics-assisted polarimetric observations in the infrared (essential to probe through the high extinction of high-mass cores). Also, we will characterise and quantify, for the first time, the stellar activity, mass, and radius of high-mass (young/proto) stars which are thought to be bloated and pulsating objects. To this end, variability and astero-seismological studies will be conducted. The applicant seeks mobility to a host institute that is a world leader in polarimetry, where he will acquire new expertise in astrophysical polarimetry through training by research. This program will distinguish between and test mechanisms of massive star formation, taking important steps to understand a long standing problem of astrophysics.

Keywords: high mass star formation,interstellar medium,hii regions,infrared astronomy,polarimetry
Rubber & Elastomer Development for MArtian enviRonment applicationS (RED 4 MARS)

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: Information Science and Engineering
Countries involved: Netherlands,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2025-02-28
Duration (months): 36.0
Total project cost (EUR): 253052.16
EU funding (EUR): 253052.16
Participants: 2
Project status: SIGNED

While imagining future Martian exploration and colonization one mustn’t forget about new materials assuring required performance and resistance to the harsh Martian conditions. One of the most unique materials used in engineering is rubber, providing both elastic and damping properties. Currently, the rubber used on Earth exhibit too low resistance against Martian environment. This project aims to overcome this issue by designing rubber withstanding harsh Martian conditions (presence of radiation and low operating temperature). This tailor-made rubber will have a low glass transition temperature (elasticity at low temperatures), contain functional and self-healing groups (radiation resistance) and reinforcing fillers for good mechanical properties (operational performance). For a sustainable approach, the use of local materials will be investigated by synthesizing reinforcing silica from Martian regolith, and the recyclability will be optimized to extend the utilization time of the materials. My background in designing versatile rubber materials for special applications and being familiar with extra-terrestrial conditions in the Solar system allows me to carry out successfully this MSCA IG Global Fellowship, under the supervision of Prof. Dr. Anke Blume and Dr. Wilma Dierkes hosted at University of Twente (UT), in one of the leading rubber groups in the world: Elastomer Technology and Engineering (ETE). The outgoing phase will be done at the University of Akron (UA) for 24 months under supervision of Dr. Li Jia. UA has a long experience in rubber education (since 1909) and is cooperating with the Glenn Research Center of NASA. Short scientific visits are also planned to perform radiation resistance measurements and prototype rubber testing.

Keywords: rubber,composite,low temperature,radiation resistance,mars exploration,in situ resource utilization,recycling,silica precipitation
Defining the immunological interplay between fibroblastic reticular cells and anti-tumour T cells (FIBROCAN)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-07-01
End date: 2018-06-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Lymph nodes are sites where immune responses are robustly initiated. Paradoxically, they are also very common metastatic sites, where tumour progression is well-tolerated. Robust evidence defines a role for fibroblastic reticular cells (FRCs) in preventing T cells from acquiring effector functions within lymph nodes, and deleting T cells that show self-reactivity. FIBROCAN will test the hypothesis that FRCs systematically shut down anti-tumour T cell responses, testing mechanisms of suppression in vitro and in vivo, and charting tumour antigen presentation by FRCs to T cells for the first time. At the frontier of stromal immunology and cancer biology, FIBROCAN was been designed to inform our fundamental understanding of metastatic cancer progression, particularly relevant to the implementation and design of T cell immunotherapies. This project provides the opportunity for a lasting and multi-disciplinary contribution in the high impact fields of stromal and cancer immunology.

Keywords: stromal immunology
Criminality, Victimization and Social Interactions (CIVICS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Norway
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-03-01
End date: 2023-09-30
Duration (months): 67.0
Total project cost (EUR): 1187046.0
EU funding (EUR): 1117684.75
Participants: 2
Project status: SIGNED

A large social science literature tries to describe and understand the causes and consequences of crime, usually focusing on individuals’ criminal activity in isolation. The ambitious aim of this research project is to establish a broader perspective of crime that takes into account the social context in which it takes place. The findings will inform policymakers on how to better use funds both for crime prevention and the rehabilitation of incarcerated criminals. Criminal activity is often a group phenomenon, yet little is known about how criminal networks form and what can be done to break them up or prevent them from forming in the first place. Overlooking victims of crime and their relationships to criminals has led to an incomplete and distorted view of crime and its individual and social costs. While a better understanding of these social interactions is crucial for designing more effective anti-crime policy, existing research in criminology, sociology and economics has struggled to identify causal effects due to data limitations and difficult statistical identification issues. This project will push the research frontier by combining register datasets that have never been merged before, and by using several state-of-the-art statistical methods to estimate causal effects related to criminal peer groups and their victims. More specifically, we aim to do the following: -Use recent advances in network modelling to describe the structure and density of various criminal networks and study network dynamics following the arrest/incarceration or death of a central player in a network. -Obtain a more accurate measure of the societal costs of crime, including actual measures for lost earnings and physical and mental health problems, following victims and their offenders both before and after a crime takes place. -Conduct a randomized controlled trial within a prison system to better understand how current rehabilitation programs affect criminal and victim networks.

Keywords: economics of crime,victimization,social interactions,causal inference