Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Reinventing geo-location for IoT (Nestwave)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 3012750.0
EU funding (EUR): 2108925.0
Participants: 1
Project status: CLOSED

Nestwave brings a radically novel solution optimized for IoT geolocation. Based on 11 patents issued and pending, the Nestwave solution improves accuracy in urban canyon environments, increases indoor coverage, and reduces power consumption and costs as compared to existing solutions (2.5x accuracy and 1/10 of the power consumption at 1/3 of the cost of GNSS solutions). The Nestwave solution is a combination of software integrated into a modem or GNSS chip and a cloud-based service used to complete the geolocation calculations, which will be sold to communication modem chipset vendors, GNSS chipset vendors, IoT device suppliers and IoT connectivity suppliers. Nestwave’s unique, patented signal processing solution provides high accuracy and fast signal acquisition at low signal levels (e.g. behind buildings or indoor with signal strength 1,000 or 10,000 times weaker than in open, outdoor locations) or in the presence of signal reflections in urban environments. Currently, the solution determines timestamps using a hybrid of GPS and 4G signal sources. The project funding will be used in part to create a more comprehensive, higher performance solution based on additional signal sources, including Galileo, BeiDou, 5G and WiFi. The performance of the Nestwave solution is reflected by the strong market interest we have experienced in the past 12 months: we have generated €360k from proof of concept projects related to LoRa geolocation and RTOS development. Assuming an average customer lifetime value of €0.4 per IoT device, our total addressable market is estimated to €1.35Bn in 2022 growing to €2.15Bn in 2025, supporting a revenue forecast of €27M by 2025 and over 300 jobs created (directly and indirectly). Nestwave is led by an executive team combining 80 years of experience in the wireless industry (at NemeriX, Qualcomm, Sequans and Motorola).

Keywords: geolocation,galileo
Integrating Microbial Evolution into Biogeochemical Models to Predict Soil Response to Drought (GLOBALECOEVO)

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: Environment and Geosciences
Countries involved: France,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2024-03-30
Duration (months): 36.0
Total project cost (EUR): 257619.84
EU funding (EUR): 257619.84
Participants: 2
Project status: SIGNED

Soil is both the largest sink and source of organic carbon (C) exchanged with the atmosphere. These exchanges result from biological processes, the primary source being the decomposition of soil organic matter (SOM), which is controlled by physical factors such as climate. As such, soil C emissions are very vulnerable to climate change but can also be reduced with new land management practices if we can predict the outcomes of soil carbon-climate feedbacks. However, predictions from the existing large-scale soil C models strongly diverge, and reveal large uncertainties in the processes and controls at play. One of these uncertainties is the effect of change in precipitation regimes on SOM decomposition mediated by soil microorganisms. Functions describing the decomposition response of soil carbon to soil moisture are static in current large-scale models, yet recent empirical studies show that decay responses under new soil moisture conditions can change due to shifts in microbial communities. Recent evidence suggests that evolution is a key processes driving these shifts in microbial communities. This project proposes to integrate variable decomposition-moisture functions into a large-scale soil C model to reflect precipitation history and carbon substrate influence on microbial responses to changing soil moisture. These functions will be calculated from a mechanistic microbial model that accounts for both ecological and evolutionary processes. The mechanistic model will be an updated version of the trait-based model DEMENT developed by the fellow’s supervisor at the partner institution (UC Irvine). The moisture response functions will be integrated into a commonly used soil carbon model, RothC, that has been incorporated into the global land surface model (ORCHIDEE) of the host institution (LSCE).

Keywords: global soil carbon,drought,moisture,microbe,evolution,modeling,metacommunity,decomposition,biogeochemical model,trait based model
Combatting the CardioRenal Syndrome: towards an integrative Analysis to reduce cardiovascular burden in chronic kidney disease (CaReSyAn)

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: Austria,Germany,Austria,Spain,Germany,Germany,Belgium,Sweden,Greece,France,France,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): 2795346.0
EU funding (EUR): 2795346.0
Participants: 17
Project status: CLOSED

Successfully combatting a complex disease requires multi-disciplinary and methodically well-trained scientists. CaReSyAn strives to accomplish exactly this: we will train scientists to successfully integrate proteomics, clinical, experimental and bioinformatical analyses to enhance the understanding, diagnosis and therapy of the cardiorenal syndrome (CRS). CRS comprises disorders of the heart, vessels and kidneys, including the increased development of cardiovascular disease (CVD) in patients with chronic kidney disease (CKD). With ~45% of all deaths in CKD patients caused by CVD, the socio-economic burden of CRS is extremely high. CaReSyAn will train scientists in a close cooperation between academia, SME and industry partners. Key objectives are to provide: 1) Excellent scientific training on CRS pathology, integrating clinical/mechanistic knowledge with technological skills (animals and in vitro, molecular and functional studies, proteomics and bioinformatics) to generate innovative insights triggering the understanding, diagnosis and treatment of the CRS; 2) Excellent complementary skills in personal and career development as well as business training required to extend beyond scientific research; and 3) Exposure to both academic and non-academic environments, required to build bridges between researchers and entrepreneurs and support the future translation of research findings in innovative products and services. CaReSyAn builds on already available patient cohorts, advanced technologies and established cooperations. CaReSyAn is complementary to ongoing European programs focusing solely on CKD or CVD and strives to synergistically improve structural training on European level. CaReSyAn will nurture the development of young, broadly-trained scientists able to successfully bridge clinical with basic research as well as academia and industry. This is a cornerstone in effectively combatting complex diseases as CRS, a major killer of this century.

Keywords: cardiorenal syndrome,chronic kidney disease,calcification,pathological mechanisms,clinical,animal,experimental disease models
Steady-state and demand-driven dendritic cell generation (DCPOIESIS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-09-01
End date: 2024-02-29
Duration (months): 66.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Classical dendritic cells (cDCs) are leucocytes that play a key role in innate immunity as well as the initiation and regulation of T cell responses. cDCpoiesis starts with commitment of a bone marrow (BM) haematopoietic progenitor, known as the classical DC precursor (CDP), to the cDC lineage. CDPs then give rise to pre-cDCs that exit the BM via the blood and seed tissues to give rise to the two major types of fully-differentiated cDCs, the cDC1 and cDC2 subsets. The key parameters of cDCpoiesis are poorly understood. We propose to characterise the niche in which cDCs develop within the BM and to study how pre-cDCs seed tissues and establish local clones of differentiated cDC1 and cDC2. We further wish to ask how the activity of CDPs and pre-cDCs is altered following infection, inflammation or tissue damage. Finally, we want to know to what extent cDCpoiesis is affected by direct sensing of infection or cell damage by cDC precursors. All these objectives will be addressed in a mouse lineage tracing model in which cDC precursors are genetically labelled through the activity of a Cre recombinase driven by the Clec9a locus. These mice will be crossed to fluorescent protein reporter mice, including Confetti mice that allow for clonal analysis, and the appearance of labelled cDCs and cDC clones in tissues will be followed over time in the steady-state or after induction of infection or inflammation. The dependence of cDC precursor activity on specific pathogen and damage sensing pathways will be assessed by loss-of-function experiments. The interactions of cDC precursors with their BM niche will be analysed in steady-state or inflammatory conditions by visualising the cells in situ. Finally, the consequences of demand-driven cDCpoiesis for immunity will be assessed. The results from this project will lead to a greater understanding of the influence of environmental signals on cDCpoiesis and may have applications in the design of better vaccines and immunotherapies.

Keywords: dendritic cells,haematopoiesis
The Arabic Anonymous in a World Classic (AnonymClassic)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 2435113.77
EU funding (EUR): 2435113.0
Participants: 1
Project status: SIGNED

AnonymClassic is the first ever comprehensive study of Kalila and Dimna (a book of wisdom in fable form), a text of premodern world literature. Its spread is comparable to that of the Bible, except that it passed from Hinduism and Buddhism via Islam to Christianity. Its Arabic version, produced in the 8th century, when this was the lingua franca of the Near East, became the source of all further translations up to the 19th century. The work’s multilingual history involving circa forty languages has never been systematically studied. The absence of available research has made world literature ignore it, while scholars of Arabic avoided it because of its widely diverging manuscripts, so that the actual shape of the Arabic key version is still in need of investigation. AnonymClassic tests a number of ‘high-risk’ propositions, including three key hypotheses: 1) The anonymous Arabic copyists of Kalila and Dimna are de facto co-authors, 2) their agency is comparable to that of the named medieval translators, and 3) the fluctuation of the Arabic versions is conditioned by the work’s fictional status. AnonymClassic’s methodology relies on a cross-lingual narratological analysis of the Arabic versions and all medieval translations (supported by a synoptic digital edition), which takes precisely the interventions at each stage of transmission (redaction, translation) as its subject. Considering the work’s paths of dissemination from India to Europe, AnonymClassic will challenge the prevalent Western theoretical lens on world literature conceived ‘from above’ with the view ‘from below,’ based on the attested cross-cultural network constituted by its versions. AnonymClassic will introduce a new paradigm of an East-Western literary continuum with Arabic as a cultural bridge. Against the current background of Europe’s diversifying and multicultural society, AnonymClassic purposes to integrate pre-modern Near Eastern literature and culture into our understanding of Global Culture.
The impact of multiple global change drivers on soil biodiversity (GloSoilBio)

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: Environment and Geosciences
Countries involved: Netherlands,Canada
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 239817.6
EU funding (EUR): 239817.6
Participants: 2
Project status: SIGNED

Local biodiversity is being impacted by multiple drivers of global change, including land use change, climate change, and pollution. Yet, our understanding of how these multiple drivers interact to cause shifts in biodiversity is limited, and the data that is used in large-scale synthesis analyses are often heavily biased towards taxa such as plants, birds and some marine organisms. Although soils harbour extremely high levels of diversity and this biodiversity supports critical ecosystem functions and services, soil biodiversity is very rarely considered in large-scale syntheses examining biodiversity change. As a result, it is still regarded as a ‘black box’ in the context of global change impacts. Therefore, the objectives of the GloSoilBio project are to investigate how global change drivers interact to impact soil biodiversity and understand how different global change drivers are affecting diversity change over time. The results from this project should help to inform management of global change impacts on soil biodiversity and to address EU- and global-level policy goals relating to the sustainability of life on land.
CONtributing to Shift2Rail's NExt generation of high Capable and safe TCMS and brAkes. Phase 1. (CONNECTA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Research and Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Germany,Germany,Germany,Spain,Italy,Italy,France,United Kingdom
Call: Development of new technological concepts, standard specifications and architectures for train control and monitoring, with specific applications in train-to-ground communications and high safety electronic control of brakes (H2020-S2RJU-CFM-2016-01-1, 2016)
Start date: 2016-09-01
End date: 2018-09-30
Duration (months): 25.0
Total project cost (EUR): 5477519.64
EU funding (EUR): 5477519.64
Participants: 13
Project status: CLOSED

CONNECTA aims at contributing to the S2R’s next generation of TCMS architectures and components with wireless capabilities as well as to the next generation of electronic braking systems. CONNECTA will conduct research into new technological concepts, standard specifications and architectures for train control and monitoring, with specific applications in train-to-ground communications and high safety electronic control of brakes. The specific actions to be undertaken within the scope of CONNECTA contributing to the S2R Multi-Annual Action Plan on TD1.2 and TD1.5 are: · To develop the general specifications of next generation TCMS and to generate the corresponding high level system architecture; · To incorporate wireless technologies to train communication network solutions; · To provide a train-wide communication network for full TCMS support including the replacement of train lines, connecting safety functions up to SIL4 and support of “fail-safe” and “fail-tolerant” principles, to provide an optimal train network for TCMS & OMTS (Onboard Multimedia and Telematic Services) as well as communication mean for non-TCMS functions; · To standardise functional interfaces of functions and sub systems as well as to define a generic functional architecture for the next TCMS generation; · To facilitate the coupling of two or more consists supplied by different manufacturers and which could have different train functions; · To develop a simulation framework in which all subsystems of the train can be simulated, allowing remote and distributed testing including hardware in-the-loop through heterogeneous communication networks; · To achieve a performance improvement in safety relevant braking functions resulting in optimisation of the braking distances in safety braking; · To optimise onboard systems by reducing the number of sophisticated pneumatic components and improving the overall LCC; · To validate non-railway EN standards for use in safety-related railway applications.

Keywords: train control and monitoring system,safe electronic brakes,wireless communications and control systems
SURVEIRON: Advanced surveillance system for the protection of urban soft targets and urban critical infrastructures (SURVEIRON)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Spain
Call: Critical infrastructure protection topic 7: SME instrument topic: Protection of Urban soft targets and critical infrastructures (H2020-SMEINST-2-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 2479592.5
EU funding (EUR): 1735714.75
Participants: 1
Project status: CLOSED

SURVEIRON is an innovative solution for the protection of urban environments and critical infrastructures that provides those in charge of public and private security with an intelligent surveillance and decision making service in critical situations. SURVEIRON constitutes a powerful tool for the prevention and management of potential disasters. Those in charge of coordinating security will be able to minimise the risks currently taken due to a scarcity of available information, which in general is provided solely by security cameras and telephone calls. Such gaps in the information available cause serious security problems. The project is based in a set of AEORUMs intelligent robots embedded inside a fleet of unmanned aerial vehicles (UAVs). This fleet is deployed in fixed and mobile locations and supervised from an emergency command center. When an alarm is notified, the system sends one or more UAVs to the emergency area avoiding any obstacle in their way. Once there, SURVEIRON starts scanning and analyzing automatically the environment with different AEORUM detection technologies. All identified risks are sent to the control center and represented in a 3D environment for an easy evaluation of human operators in real time. The system will also recommend action plans with AEORUM’s decision making technologies based on artificial intelligence. As an example, in a fire emergency or an earthquake, SURVEIRON will provide (with AEORUM’s ENVIRONMENT ANALYSIS TOOLS) the total amount of energy in calories generated by the fire, the cracks in the buildings, the amount of people in danger, toxic gas leaks and the status of the infrastructures affected. Moreover the system is capable of recommending (with AEORUM’s DECISION TOOLS) the volume of fire extinguisher and the amount of firetrucks needed, a building evacuation order list, a toxic gas map or the amount of healthcare personnel to be mobilized . All this information will be displayed in the command center.
All-optical sub-THz signal filtering with multi-COLOR lasers (COLOR-UP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-11-01
End date: 2025-10-31
Duration (months): 60.0
Total project cost (EUR): 1499371.0
EU funding (EUR): 1499371.0
Participants: 1
Project status: SIGNED

MicroWave Photonics (MWP) has been delivering on-chip devices with outstanding performances to answer the demand of Information and Communication Technologies for always faster, more efficient and more compact systems. Yet, some stringent limitations form a roadblock for disruptive specifications: for instance, on-chip MWP frequency filters hardly perform beyond 60 GHz, whereas the technology and applications require frequencies in the sub-THz range from 100 GHz to several THz. This frequency band will directly support future ultra-fast telecom systems, but also sensing techniques such as THz spectroscopy e.g. for food contaminant detection or mm-precision RADARs for robotic systems. With COLOR'UP, my goal is to remove this frequency roadblock by exploring and implementing on-chip a radically new concept exploiting the nonlinear dynamics of multi-colour lasers. These lasers naturally generate a set of sharp beat-notes in the sub-THz range corresponding to the frequency separation between the different wavelengths. Injecting an optical beam in a multi-colour laser with a modulation at well-chosen frequencies can lead to injection-locking of all wavelengths simultaneously. Spectral components that are not matching the beat-notes will however not be picked up and will be filtered out in the laser output. In this project, I will demonstrate that this effect can be exploited to create all-optical on-chip MWP bandpass filters with the capability to cover the entire sub-THz range from tens of GHz, up to a few THz. My goals are four-fold: (1) design and realize multi-colour lasers with tailored spectra to achieve filtering at precise frequencies (2) study the underlying filtering mechanism to optimize the filter performances (3) develop on-chip control techniques based on optical feedback to control the filter properties (4) make a Proof-of-Concept demonstration of the filter on an InP photonic integrated circuit emitting in the telecom band, around the 1.55 um wavelength

Keywords: laser dynamics,photonic integration,semiconductor lasers,nonlinear dynamics,optical injection,optical feedback,microwave photonics,generic foundry platforms