Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Bio-inspired helicoidal multilayers for photonic innovation (HELICOID)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-15
End date: 2019-11-14
Duration (months): 24.0
Total project cost (EUR): 187419.6
EU funding (EUR): 187419.6
Participants: 1
Project status: CLOSED

Natural photonic structures are present in a wide variety of flora and fauna, and are useful for camouflage mechanisms, mating and pollination signalling among other biological purposes. These natural photonic architectures constitute an invaluable source of blueprints for scientists to innovate in bio-inspired technological devices that can make a real impact in the technology based economy, for example in sensors, solar cells and lighting applications. Among the natural structures that have an artificial counterpart with huge impact in the economy are optical thin films, where for example single layers are used for anti-reflection coatings and multilayers for high quality mirrors and filters. Interestingly, some animals, such as the scarab beetles, exhibit unique circular polarization dependent reflection properties due to an inner helicoidal structure embedded within the multilayers of its cuticle. Fabricating such multilayers with added optical functionalities can find applications for example in anti-counterfeiting elements or in optical applications as chirality dependent micro-mirrors. During this MSCA I aim to gain the necessary training and knowledge to become an independent researcher in the fields of structural colour in nature and bio-inspired photonic devices. To achieve this goal, I will build up from the expertise of the host supervisor (Prof. Ullrich Steiner) and his group at the Adolphe Merkle Institute in Fribourg, Switzerland on the field of structural colour in nature, and specifically, on their experience with the chiral structures of such beetles. I will investigate novel multilayered devices exhibiting unique optical properties by performing optical simulations and combining state-of-the-art nano-patterning techniques together with a self-assembly method for multilayer fabrication that will yield unprecedented optical responses leading to innovative photonic devices.

Keywords: photonics,structural colour,thin films,biomimmetics,nanofabrication,self assembly
Advanced Wireless Technologies for Clever Engineering (ADWICE)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Specific Grant agreement
Countries involved: Austria,Czechia
Call: Teaming (H2020-WIDESPREAD-2014-1, 2014)
Start date: 2015-06-01
End date: 2016-05-31
Duration (months): 12.0
Total project cost (EUR): 349687.0
EU funding (EUR): 349687.0
Participants: 2
Project status: CLOSED

The project Advanced Wireless Technologies for Clever Engineering (ADWICE) is aimed to create a strong partnership between the research center of Sensor, Information and Communication Systems (SIX, Czech Republic) and Vienna University of Technology (TUW, Austria). QS World University Rankings sets TUW on the 91st position among engineering faculties worldwide. The partnership will result in the transfer of excellence in research from TUW to SIX. SIX is located in the region of South Moravia. The regional innovation strategy 2014-2020 (RIS) identifies (1) electrical engineering, (2) information technologies, (3) mechanical engineering and (4) life sciences as dominant sectors of the regional economy. SIX contributes (1) to (3). Smart specializations of South Moravia identified by RIS are (1) Advanced manufacturing & engineering, (2) Accurate instruments, (3) Hardware & software, (4) Pharmaceuticals, medical care & diagnostics, and (5) Aeronautical technologies. Wireless technologies can find exploitation in all these specializations which is documented by letters of intent provided by companies. The ADWICE project consists of work-packages covering (1) Sensor systems, (2) Signal processing, (3) Radiofrequency applications, (4) Mobile communications and (5) Cyber security. Work-packages: - Are co-supervised by a TUW leader and a SIX one; - Contribute to (1) Smart cities, (2) Mobility for growth, and (3) Digital security; - Are associated with companies. The ADWICE project will result in a sustainable network comprising companies, SIX and TUW. The network will strengthen the innovation potential of companies thanks to the applied research of SIX and TUW. The network will cooperate on common research, education and dissemination. Operation of the network will be financed from private sources (contributions of companies) and public ones (national funds, HORIZON 2020). Research in the initial phase (2015-2019) will be funded by the National Sustainability Program.

Keywords: sensor systems,signal processing,radio frequency applications,mobile communications,cyber security
The Tibetan Army of the Dalai Lamas (1642-1959) (TibArmy)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: France
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-10-01
End date: 2023-03-31
Duration (months): 78.0
Total project cost (EUR): 1499875.0
EU funding (EUR): 1499875.0
Participants: 1
Project status: SIGNED

TibArmy proposes to undertake a study of a previously unresearched subject: the Tibetan army during the period of the Buddhist government of the Dalai Lamas, known as the Ganden Phodrang, from 1642 to 1959. This government was the heir to a robust military culture with long experience in the defence of Buddhism since the Tibetan Imperial Period (7th-9th centuries); however, from its inception it decided to rely on foreign armies for its protection. On the basis of two distinctive features of this period—the creation and maintenance of the first Tibetan standing army and the limited number of the troops compared to former times—the project will explore the enduring ambivalence of the Dalai Lamas’ government towards having its own army, as well as its reasons, consequences and expressions in discourse and practice. The methodology follows a multifaceted approach towards the military in Tibet, by taking into considerations its social, economic, political, legal, religious and cultural aspects, and focussing on the multicultural and connected historical context of the Tibetan army’s evolution (foreign Mongol and Manchu armies stationed in Tibet, and the later adoption of British and Japanese military models). The research project, based on written and oral multilingual sources, is structured along 5 thematic axes: 1. A history of the army institution (17th-20th c.): social, economic and political aspects; 2. Interactions with the Sino-Manchu troops and other foreign influences on the Tibetan army; 3. Cultural and discursive aspects: integration of the army within the Buddhist frame; 4. Material culture and photographs: a visual history of the Army (with photograph exhibition); 5. A lexicon of military terminology. By focussing on the links between Buddhism and the military in Tibet, TibArmy will achieve a clearer understanding of the links between State construction, religion and army, and will also shed light on the past and current geo-political situation in Asia.

Keywords: tibet history,military history,army history,buddhism and violence,visual history,prosopography,cultural exchanges
Elucidating the role of m6A RNA methylation on the replication and pathogenesis of influenza A virus. (IAV-m6A)

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: Life Sciences
Countries involved: France,United States
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2020-05-31
Duration (months): 36.0
Total project cost (EUR): 264668.4
EU funding (EUR): 264668.4
Participants: 2
Project status: CLOSED

It has recently become apparent that post-transcriptional editing of mRNA by methylation of adenosines (m6A) plays a key role in regulating gene expression. In particular, total loss of m6A editing blocks the development of early embryos in a number of organisms. However, how m6A modifications, which are added in the nucleus and primarily detected by 3 cytoplasmic “reader” proteins, exert their effects remains unknown. The presence of m6A on viral transcripts has been known for 40 years, yet has only recently been shown to enhance HIV-1 gene expression and replication. Influenza A virus (IAV) that, like HIV-1, replicates in the nucleus, is known to bear a high level of m6A on viral RNA. However, whether and how m6A editing affects IAV replication remains unknown. Here, the researcher proposes the investigation of the role of m6A in IAV pathogenesis. The main objectives of this proposal are; to compile a precise map of m6A sites on IAV-PR8 RNA, determine their functional significance on replication and RNA trafficking, assess how m6A machinery is altered in IAV infected cells, and evaluate the conservation of these sites across additional pathogenic IAV strains. Preliminary data demonstrates that IAV gene expression may be enhanced by overexpression of the m6A reader proteins. Therefore the researcher proposes that IAV may subvert the m6A modification pathway to enhance viral RNA expression. Mapping of m6A modifications will be performed using PAR-CLIP and PA-m6A-seq, while RNAi, CRISPR knockouts and lentiviral overexpression systems will be utilised to determine the functional role of m6A editing on IAV pathogenesis. This fellowship will provide the researcher with an excellent opportunity to work at 2 highly regarded research institutes and advance his knowledge in virology and RNA biology. The skills acquired through completion of this fellowship will greatly assist him in his future endeavours including the establishment of his own European research group.

Keywords: influenza a virus,rna methylation,pathogenesis
Econometric analyses and indicators on the impact of Research and Innovation (INNOVA_MEASURE_III)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Coordination and support actions
Countries involved: Belgium
Call: Econometric analyses and indicators on the impact of R&I (H2020-IBA-SC6-INNOVA-2016, 2016)
Start date: 2017-06-01
End date: 2018-11-30
Duration (months): 18.0
Total project cost (EUR): 479901.25
EU funding (EUR): 479901.25
Participants: 1
Project status: CLOSED

The project aims: (a) to provide statistical support for the development and update of indicators used by DG RTD to monitor development on science, technology and innovation; (b) to carry out statistical and econometric analysis in order to better understand the nature, needs and determinants of high-growth enterprises, as well as the policy responses and the framework conditions needed to facilitate the growth of companies in innovative sectors; (c) to explore the relationship between inward and outward foreign direct investment flows in R&D and framework conditions such as the tax system/tax incentives (R&D tax incentives in particular); (d) to provide econometric and statistical support on ad-hoc requests by DG RTD on the topics analyzed in this proposal; and (e) to carry out a Counterfactual Impact Evaluation study in order to evaluate the impact of DG RTD research funding schemes on the knowledge basis, innovation activities and economic performance of private enterprises. The project builds on work carried out in the context of the INNOVA MEASURE I (FP7, 2013-14) and INNOVA MEASURE II (H2020, 2015-17) projects.

Keywords: composite indicators,robustness assessment,research and innovation,randd,counter factual impact evaluation,high growth firms,scale ups
7D Collaborative Work Environment for Project Lifecycle Management (PLM) of Complex Industrial Assets (TALENT SWARM)

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: 2018-06-01
End date: 2018-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

DYNATEC is a Spanish engineering company led by Jim Novack, considered one of the world's leading experts in VR, AR, ColDYNATEC is a Spanish engineering company led by Jim Novack who is considered one of the world's leading experts in VR, AR, Collaborative Work Environments and Project Lifecycle Management is the creator and promoter of TALENT SWARM. TALENT SWARM generates a 3D virtual model of a complete industrial plant, including the people who work on it both in the plant and in the offices, allowing AR and VR solutions to move and operate freely through the 3D model. The model, according to the client's needs, will add layers or dimensions (D) of information (price and technical specifications - 4D, real-time - 5D, IoT included personnel - 6D, physical simulation for M&O - 7D) and security (blockchain-5D) on some objects, sections or throughout the plant. From any computer, tablet or smartphone TALENT SWARM can display any place or person in the plants of a company located on five continents, contact to company or external experts to solve an incident, to analyze the historical of an equipment and foresee its future behavior, search for a new machine and request an offer if needed, organize a M&O training session and much more. Talent Swarm Key Performance Indicators (KPI) are: Reduction in Total Cost of Ownership (TCO) 5-25%, increased availability 2-6%, reduction in reactive maintenance 10-40%, EH&S incident reduction 3-40% and gain in employment productivity 5-25%. Immersive Collaborative Working Environments is a niche market within the Project Lifecycle Management Marketplace in which DYNATEC will commercially target the European and American market valued at 1,740 million euros per year. The successful completion of the project represents an important business opportunity for DYNATEC, which thanks to this development expects to generate revenues of 33.6/67.8 million euros within 5-7 years, create 135/167 direct jobs and create 246/307 indirect jobs.

Keywords: collaborative work,project lifecycle management,avatar,virtual reality,augmented reality,maintenance and operation,block chain,digital twin,digital thread
A cloud-based big data analytics platform for air quality sensing using distributed sensors and an unparalleled AI-powered decision support system (Breeze)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Both cities and corporations struggle to implement effective measures to adapt to the changing environment and to mitigate environmental pollution. State of the art air quality measurement systems that provide ‘actionable insights’, are lacking for both indoor and outdoor air pollution. There are no data-driven systems on the market that can intelligently assess the effectiveness of different interventions based on historic air quality data in a market worth an estimated €100bn by 2022. Breeze Technologies has changed the status quo, by linking decentralized networks of distributed IoT sensors whose data is processed through our proprietary AI-powered platform. We are the only commercial indoor and outdoor air monitoring solution able to provide actionable recommendations based on AI-processed data accumulated from previous projects, which forms the core component of our intellectual property. Today, our target market segments, cities and businesses, are able to measure air quality continuously if they can afford it, which they generally cannot. A single, state of the art, air quality monitoring station for outdoor air monitoring manufactured by a market leader like Horiba costs up to 500.000€ with another 250.000€ yearly needed for maintenance and operation. A Breeze air quality meter measuring the same indicators costs 599€ per year. Horiba and similar large enterprises represent the old guard for air quality monitoring. Breeze aims to lead the new guard: an emerging but inchoate market of real-time, intelligent air quality monitoring and decision-making systems. The goal of this project is to interview decision makers at leading companies within our target verticals in order to optimize the designs for use in each target segment. We will develop an updated business plan with detailed go-to-market strategies per geographic region and target vertical.

Keywords: air quality,sensors,artificial intelligence,decision support system
Kinetics and Dynamics at Surfaces (KIDS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany,Germany
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-09-01
End date: 2025-08-31
Duration (months): 72.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 1395000.0
Participants: 2
Project status: SIGNED

This proposal implements slice imaging to measure catalytic rates for site-specific elementary reactions thus offering remarkable opportunities to advance our fundamental understanding of heterogeneous catalysis. As evidence for global climate change continues to grow, catalysis has moved to the front line of the struggle to obtain new, sustainable technologies for the future. Catalysis and catalytic processes account, directly or indirectly, for 20-30 % of world Gross Domestic Product. Knowledge of elementary chemical reaction mechanisms in heterogeneous catalysis underlies our ability to construct comprehensive kinetic models for many such important chemical processes, in order to optimise them. Our proposed strategy makes the formidable task of describing site-specific chemical reaction mechanisms and elementary rates in heterogeneous catalysis facile, while its necessity we justified (Nature 2018) on the prototypical CO oxidation reaction on Pt by demonstrating that 40 years of traditional experimentation led to false interpretation of the reaction mechanism. The aim of this proposal is characterize the important factors that influence the kinetics of elementary reactions at surfaces, e.g. the chemical nature of the catalyst and the geometry of the active site (stereodynamics). We chose elementary reactions involving C, H, O, N, as these are important in many key industries, such as the methane reforming, syngas, fuel cells, Fischer-Tropsch synthesis and the Haber-Bosch process. Our strategy is that of a “bottoms up” approach to catalysis, i.e., building and understanding complex heterogeneous chemical catalysis, from the site-specific kinetics of the elementary building block reactions. Our measurements, will serve for benchmarking first principles calculations of reaction rates in surface chemistry. Our methodology measures the kinetics in the s regime with temperatures in the 200 to 1000 K range, i.e, more relevant to industrial conditions.

Keywords: ion imaging,slice imaging,velocity mapped imaging,position sensitive detectors,molecular beam scattering,surface scattering
Hierarchical Optimal Energy Management of Electric Vehicles (HOEMEV)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-08-01
End date: 2021-07-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

It has been widely recognized that vehicle electrification provides a potential way for the EU to move towards a more decarbonized transport system and sustainable circular economy. To increase the market share of electric vehicles (EVs), control technology plays an indispensable role in improving the overall efficiency of EVs; however, EV control problem is very challenging because EVs exhibit complex dynamics with uncertainties and nonlinearities, and strong physical couplings among different subsystems. The overarching objective of this project is to develop a novel computationally efficient hierarchical adaptive optimal control framework incorporating transportation information and drivers’ habits suitable for energy management of EVs. To enhance the computational power of the framework, an effective fast optimisation method based on quadratic programming (QP), a novel velocity predictor with varying-prediction-horizon calibrator, and a fast MPC controller will be developed and embedded into the hierarchical control framework, so as to achieve multi-objective optimal control targets, i.e. maximum fuel economy, reduction of emissions, improvement of drivability and battery life extension. Moreover, a hardware-in-the-loop (HIL) test platform will be built up for real-time experiments to validate the efficacy of the proposed approaches. The project will contribute to both control theory and applications in EVs with promising extensions to other engineering problems. This project will sufficiently merge the critical information of human, road and vehicle with a hierarchical control framework to facilitate the energy management of EVs.

Keywords: hierarchical adaptive optimal control,economic model predictive control,energy management,electric vehicles