Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Integrated multi-qubit devices for scalable quantum networks (IQubitNet)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Netherlands,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-07
End date: 2023-03-16
Duration (months): 36.0
Total project cost (EUR): 253052.16
EU funding (EUR): 253052.16
Participants: 2
Project status: CLOSED

The rapidly advancing field of quantum technologies promises to solve important problems in computation, communication and metrology. A long-sought goal is the realization of quantum networks to distribute entanglement to long distance nodes. Such a network could enable the implementation of distributed quantum computing, unconditionally secure communication, ultra-precise distributed clocks, and precision sensors such as ultra-long-baseline interferometers. While ground-breaking demonstrations have been reported using NV centers in diamond, scaling up the performance and range will require key advances in suppressing photon loss, extending decoherence, and multiplexing and packaging deployable quantum repeater nodes. In this project, we propose to investigate the promising spin and optical properties of Group-IV color centers in diamond coupled to nanocavity interfaces, and to scale these Cavity-QED systems to multiple quantum memories individually addressable on photonic integrated circuits (PICs). The multiplexed quantum repeater devices that we propose will combine highly efficient optical interfaces with logical qubit of extended coherence. Moreover, these repeater nodes can be efficiently connected over long distance through existing metropolitan-scale fiber networks by quantum frequency conversion to the telecom band. As a specific goal, we aim to demonstrate that such quantum repeaters will be able to beat the rate-loss scaling of repeaterless (memoryless) quantum links, enabling a new generation of multi-node quantum networking application.

Keywords: diamond color centers,quantum networks
Why is the world green: testing top-down control of plant-herbivore food webs by experiments with birds, bats and ants (BABE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Czechia
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2018-12-01
End date: 2024-07-31
Duration (months): 68.0
Total project cost (EUR): 1455031.75
EU funding (EUR): 1455031.75
Participants: 1
Project status: SIGNED

Why is the world green? Because predators control herbivores, allowing plants to flourish. This >50 years old answer to the deceptively simple question remains controversial. After all, plants are also protected from herbivores physically and by secondary chemistry. My goal is to test novel aspects of the “green world hypothesis”: ● How the importance of top-down effects varies with forest diversity and productivity along a latitudinal gradient? ● How the key predators, birds, bats and ants, contribute to top-down effects individually and in synergy? I strive to understand this because: ● While there is evidence that predators reduce herbivore abundance and enhance plant growth, the importance of top-down control is poorly understood across a range of forests. ● The importance of key predatory groups, and their antagonistic and synergic interactions, have been rarely studied, despite their potential impact on ecosystem dynamics in changing world. I wish to achieve my goals by: ● Factorial manipulations of key insectivorous predators (birds, bats, ants) to measure their effects on lower trophic levels in forest understories and canopies, accessed by canopy cranes, along latitudinal gradient spanning 75o from Australia to Japan. ● Studying compensatory effects among predatory taxa on herbivore and plant performance. Why this has not been done before: ● Factorial experimental exclusion of predatory groups replicated on a large spatial scale is logistically difficult. ● Canopy crane network along a latitudinal gradient has only recently become available. I am in excellent position to succeed as I have experience with ● foodweb experiments along an elevation gradient in New Guinea rainforests, ● study of bird, bat and arthropod communities. If the project is successful, it will: ● Allow understanding the importance of predators from temperate to tropical forests. ● Establish a network of experimental sites along a network of canopy cranes open for follow-up research.

Keywords: tropical ecology,latitudinal diversity gradients,plant insect interaction,predator exclusions,predation
Diabeloop to Patients: An Artificial Pancreas solution to improve the balance, safety and autonomy of 20 million people (D2P)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 2793190.0
EU funding (EUR): 1955233.0
Participants: 1
Project status: CLOSED

20 million people worldwide are affected by type 1 diabetes (T1D), an autoimmune condition leading to the destruction of beta cells of the pancreas producing insulin. T1D causes severe complications: short terms - seizures and fainting that could result in coma or even death; long terms - blindness, amputations, renal failure, heart diseases. T1D can occur to anyone and half of the cases begin before age 20. T1D patients have to manage their diabetes on a daily basis, facing countless stressful situations. Diabeloop’s “artificial pancreas” solution aims to mimic the glucose regulating function of a healthy pancreas. The core of our “artificial pancreas” solution is an artificial intelligence: algorithms based on physiological models continuously calculate the most appropriate and personalised dose of insulin. Insulin is then automatically delivered to the patient. Diabeloop goals are to reduce hypoglycaemia and hyperglycaemia periods, alleviate the day-to-day burden and avoid long-term complications. Diabeloop’s first generation solution (DBLG1) is integrated in a closed-loop system made of three components: a continuous glucose monitoring sensor, a connected insulin pump, and a handset hosting algorithms and controlling the pump. Diabeloop’s solution integrates a telemedicine program through highly secured data exchange, storage and healthcare professional identification. Clinicians may access the patients’ data and suggest treatment adjustments as necessary, for an improved system customisation and long-term regulation. During the phase 2 project, we scale up and target a European adoption of our breakthrough innovation. We focus on France, the Netherlands and Sweden, 3 countries with complementary specificities to validate our model: adaptation of the device to foreign market, optimisation of performances, telemonitoring upgrade and industrialisation.

Keywords: customisation,personalised algorithm,closed loop system,telemedicine,secure data exchange,medtech,telemonitoring,healthcare,automatic system,medical device,diabetes
European Training Network on Post-Digital Computing (Post-Digital) (POST-DIGITAL)

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: Information Science and Engineering
Countries involved: Spain,Spain,Belgium,Switzerland,Belgium,France,France,France,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-04-01
End date: 2024-03-31
Duration (months): 48.0
Total project cost (EUR): 4021262.28
EU funding (EUR): 4021262.28
Participants: 10
Project status: SIGNED

The future economic growth in Europe requires engineers and researchers capable to design, develop and implement new information technologies to support explosive data-driven transformation of economy, public and government activities. Current information, computing and processing technologies strongly rely on the classical digital approaches and architectures developed by von Neumann. It is well understood nowadays that brain- or nature-inspired (neuromorphic) technologies can offer substantial advantage in terms of processing capabilities and power efficiency. The development of analog hardware platforms will allow us to achieve significantly higher bandwidth efficiency, faster processing and higher adaptability through integration of self-learning systems. European Training Network on Post-Digital Computing - POSTDIGITAL is an interdisciplinary training network comprising internationally leading teams from academia, research centres and industry, including IBM, Thales and three highly reputed SMEs. POST-DIGITAL will provide a unique training opportunity to a cohort of 15 early stage researchers (ESRs) in the inter-disciplinary fields of emerging disruptive neuromorphic computational technologies and their applications. The strong industrial presence in the network will bridge the gap between early stage innovation and utilization, providing ESRs with the experience of practical applications and solutions beyond traditional digital methods. POST-DIGITAL has the ambition and the vision to create a new generation of scientific and industrial leaders that will greatly contribute to strengthening Europe’s human resources and industry competitiveness in future digital and post digital economy and technology.

Keywords: analog computing paradigms,non algorithmic computing,novel electronic and photonic technologies,reservoir computing
Climate Backlash: Contentious Reactions to Policy Action (BACKLASH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-05-31
Duration (months): 64.0
Total project cost (EUR): 1491458.0
EU funding (EUR): 1491458.0
Participants: 1
Project status: SIGNED

Growing calls for ambitious climate change action are challenging for governance because such action can trigger backlash. Why do societies sometimes accept costly public good action, but at other times push back suddenly and reject it? Abrupt and impactful reactions to climate policy actions are increasingly witnessed: Climate Backlash. Examples include the Yellow Vests in France, and acrimonious policy rollbacks in Canada and Australia. Climate change governance theory is, so far, unable to account for such dynamics, which undermines prospects for ambitious climate action. The challenge of BACKLASH is to empirically study, and ultimately to theorise, this type of contentious reaction to policy action. The aim of BACKLASH is to explain why, how, and under which conditions climate backlash emerges in advanced industrial democracies. BACKLASH will: 1) Identify the configurational drivers of climate backlash across varying national contexts, 2) Determine the mechanisms and processes by which climate backlash occurs within specific national contexts, 3) Establish whether and how climate backlash diffuses within and between countries, and 4) Explain the forms (i.e. institutionalised, non-institutionalised) and variation of climate backlash across contexts. To accomplish this, BACKLASH will conduct a two-level study of 36 OECD countries, and 4 in-depth national cases of climate policy, namely Australia, Canada, France, United Kingdom. BACKLASH is ground-breaking in: 1) pioneering an original interdisciplinary lens for studying climate backlash, 2) advancing an ambitious mixed-methods research design, and applying and testing new innovations in cross-case analysis, and 3) tackling a new combination of challenging empirical circumstances confronting the field of climate governance with profound implications for policy-society dynamics. This will open up new frontiers for the interdisciplinary study of backlash to policy in addressing contentious collective problems.

Keywords: climate governance,environmental governance,climate change policy,climate action,backlash to policy
Solar Wind Heating and Turbulence (SoWHat)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-01
End date: 2018-10-31
Duration (months): 36.0
Total project cost (EUR): 264668.4
EU funding (EUR): 264668.4
Participants: 2
Project status: CLOSED

Observations of solar wind (SW) turbulence have usually emphasized magnetohydrodynamic (MHD) scales where the Kolmogorov scaling f −5/3 of the magnetic spectra is frequently observed. These spectra are thought to result from strongly nonlinear interactions. However, the question as to how turbulence of the MHD scales terminates its cascade at smaller (kinetic) scales is still hotly debated. Answering this question is indeed fundamental to understanding the processes of particle acceleration and plasma heating in the SW and in other astrophysical plasmas. This project aims at studying the mechanisms of energy dissipation in solar wind. We will use a innovative multiple approach that combines in-situ fields and particles data available from the multispacecraft missions, numerical simulations and theories to model the complex behavior of turbulence cascade at kinetic scales where it is dissipated.

Keywords: turbulence,plasma,solar wind
Computer Vision Enabled Multimedia Forensics and People Identification (IDENTITY)

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,Italy,Australia,India,Spain,Hong Kong,Singapore,Cuba,China,Malaysia,Slovenia,France,United States,Brazil,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 2025000.0
EU funding (EUR): 2025000.0
Participants: 17
Project status: CLOSED

Forensics is a well-established science that aims at applying various disciplines to the law, both civil and criminal, in order to solve questions related to crime. It is mainly concerned with proving and investigating infringements, identifying perpetrators and describing modus operandi. Biometrics, on the other hand, is a relatively new science that aims at measuring and analysing a person's unique characteristics, both behavioural and physical. It is mainly concerned with the development of technological solutions to extract and evaluate a person's biometric data mainly for verification and identification purposes. The potential of applying biometrics to forensics comes natural as several forensic questions rely on identifying, or verifying the identity, of people allegedly involved in crime. Although these two scientific communities have operated in relative isolation over the past couple of decades, forensic biometrics have been successfully applied through the development automatic fingerprint identification systems (AFIS), and most recently, through the development of face recognition systems. The potential of forensics biometrics, however, can be extended to other biometric traits, such as iris and gait analysis. This proposal also aims at consolidating the integration of multimedia forensics into the forensic science. Multimedia forensics is concerned with the development of scientific methods to extract, analyse and categorize digital evidence derived from multimedia sources, such as imaging devices. For example, developing technologies to identify, categorise and classify the source of images and video, as well as to authenticate and verify the integrity of their content. Since the enabling technologies in multimedia forensics are similar to those used for identification and verification purposes in biometric forensics, the integration of these areas is seamless.

Keywords: multimedia forensics,biometrics,people identification,face recognition,computer vision,gait recognition,iris recognition
Establishment of High-Res Predictive 3D Groundwater Nanoremediation Simulations (intraView)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany
Call: European SME innovation Associate - pilot (H2020-INNOSUP-02-2016, 2016)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 112500.0
EU funding (EUR): 112500.0
Participants: 1
Project status: CLOSED

The objective of intraView is to implement the professional expertise and skills to set up a high quality 2D and 3D predictive nanoparticle transport model in our company, which would result in a significant upgrade in terms of performance, growth, and versatility. The applied nanoparticle transport model would enable a new level of remediation planning, and truly unlock the potential of groundwater nanoremediation on global markets. This objective shall be achieved by hiring a top-potential post-doc modelling hydrologist (PHD or equivalent ) from the EU job market, who will be able to implement such a high-end modelling approach and the required tools in our company. Very likely, a recruitment on the German job market alone cannot generate the desired/needed level of qualification to fulfil our proposal’s objective, so with intraView, a European dimension of our effort shall be achieved.

Keywords: numerical modelling,nanoparticle transport,groundwater remediation
Low cost, early Phytosanitary monitoring and alert service for horticultural farmers (VegAlert)

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: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-06-01
End date: 2018-11-30
Duration (months): 30.0
Total project cost (EUR): 917396.25
EU funding (EUR): 642177.38
Participants: 1
Project status: CLOSED

PROBLEM Plant pathogen diseases in horticultural crops are responsible for 35% of crop losses. Today, farmers lack information about disease threats, as there is no way to carry out early diagnosis of the potential diseases that already exist in the soil and surrounding environment. Without this information, the most common practice is to minimise all threats, regardless of whether they exist, by the blanket, widespread application of “wide spectrum” chemical pesticides. However, these methods fail to eliminate all the pathogens effectively, increases production costs and it’s environmentally harmful. SOLUTION Microgaia is a Spanish SME who has developed a DNA microarray tool that allows rapid and quantitative detection of 200specific plant diseases in a simultaneous way. Microgaia has also developed the associated sampling method and sampling kits to take samples according particularities of each crop, farm plot and aspects as meteorological data, ensuring that results are representative. The use of the entire system, called VegAlert, brings 4 great benefits: - cost reduction (by saving in pesticides) - higher yield (reducing losses caused by pathogens) - preservation of soil quality - compliance with the EU directive No 2009/128/EC MARKET The utilised agricultural area for horticultural crops surpasses 836.000 thousand hectares in EU-28. Each analysis with VegAlert will be sold at 50 €. On average, 4 samples will be taken for each hectare and per season, this means that the total market size for VegAlert is 3.3 million of potential analysis per year (165 M€). The feasibility study showed that EU farmers are worried by pathogens, and willing to pay for this solution, which minimises their risks of losing production. BUSINESS OPPORTUNITY This new business line is expected to generate important growth for Microgaia. The business plan predict that by 2022, 18 new jobs will be created with an annual turnover of 7.1 M€ and EBITDA of 3.1 M€.

Keywords: integrated pest management,sustainable management practices,soil borne diseases,dna microarray,sampling methods,decision support system,resource efficient horticultural production,phytopathogen
Spin-charge conversion in highly resistive spin-orbit materials (SPECTER)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

With the current technology of transistors reaching characteristic sizes of a few nanometers, and heating effects becoming more severe, the regular functionality of processors is at stake. In the next few years, new technologies are required to sustain the increasingly high demands imposed by the consumer electronics industry worldwide. Among the wide range of proposed options, spintronics is considered to be one of the leading candidates to fill this gap, backed by recent proposals for spin-based computation using magnetoelectric spin-orbit devices. In these devices, the magnetic state of a ferromagnetic material is read through the conversion of spin currents in charge currents, where two resistance levels can be unambiguously detected depending on the magnetization direction of the ferromagnet, i.e. a “1” and a ”0” state. The main goal of SPECTER is to find the most suitable material exhibiting large spin-to-charge conversion efficiencies combined with large resistivities, allowing the generation of high output voltages for a subsequent writing step. To achieve this result, a careful balance between adequate materials beyond the conventional high spin-orbit coupling metals, and device fabrication of nanostructures that maximize spin-to-charge conversion detection needs to be achieved. With this proposal, we want to explore nanostructured topological insulators and correlated oxides fabricated by industry-friendly techniques, such as sputtering and e-beam lithography, while benchmarking them for future spin-based devices. This way, SPECTER not only poses a revolutionary step towards the next generation of processors, but also aims at acquiring scientific knowledge with technological applications to be useful for both academia and industry. Moreover, the ultimate goal of SPECTER is to offer high-quality interdisciplinary research training for an aspiring young researcher helping him to build a promising scientific research career.

Keywords: spin hall effect,edelstein effect,spin charge conversion,topological insulators,correlated oxides,spin logic device,post cmos