Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Comparative genomics of host-symbiont dependency (SYMOBLIGA)

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: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Organisms across the tree of life form partnerships with microbes for protection, metabolic and nutritional benefits. Symbiont acquisitions have allowed hosts to colonise ecological niches that they would otherwise be excluded from, use previously inaccessible resources and capture novel forms of energy. In some cases, host and symbiont become so tightly associated that dependency evolves and the two organisms integrate both physically and genomically. Understanding how organisms combine to perform new metabolic functions and capabilities is key to understanding the evolution of biological complexity. However, most permanent symbioses are ancient and independent evolutionary events, making it difficult to gain information about how dependency evolves. The symbiont Serratia symbiotica has relatively recently transitioned to an essential nutritional role in at least one subfamily of aphids. We provide evidence that dependency on Serratia’s has evolved not once, but several times independently in different aphid lineages. This provides a unique opportunity to explore how symbionts integrate with hosts both genomically and physiologically during the early stages of evolving dependency. We will use a state-of-the-art cross-species comparative genomic analysis in combinations with molecular cytogenetic experiments to determine whether dependency on Serratia has evolved through the same or different genetic mechanisms in the different aphid lineages. First, we will establish a timeline of when each aphid lineage evolved dependency on Serratia. Second, we will identify symbiont genomic rearrangements, the timing of losses and integration of host and symbiont metabolic pathways. Third, we will determine how physical integration evolves. Our findings will provide important information on how microbes and hosts evolve shared metabolic pathways and whether dependency evolves through parallel or convergent processes.

Keywords: endosymbiosis,mutualism,dependency,genome evolution,comparative phylogenomics,insects,microbes,aphids,serratia symbiotica,buchnera aphidicola
System EYE - сutting-edge innovation to make your drive safer, collect and monetize automotive data (System EYE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ukraine
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-03-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Discoperi puts the Driver’s safety and rights in the center of the automotive ecosystem. Every year 1.25 million people die in car accidents, and so car accident prevention market is forecasted to reach $50 bn in 2021. To deal with this challenge and utilize market opportunity Discoperi has designed System EYE — the first on the market smart IoT system capable of preventing possible collisions. System EYE collects the data, analyzes it and alarms the owner and other drivers in the domain when the probability of an accident nearby is high. At the same time, current way of handling automotive data does not allow the drives to benefit from automotive data continuously generated by all modern vehicles. In 2018 industry players only start tapping into car data monetization potential forecasted to reach $450 - 750 bn by 2030, and System EYE is the first solution to allow storing and monetizing collected automotive data on behalf of a driver on the blockchain, using DISC tokens. Discoperi aims at fast global commercialization of System EYE to bring its value worldwide leading automotive revolution. In Discoperi vision, automotive ecosystem participants own, share and transact data in a fair and transparent way. To make this happen, Discoperi expanded its team by top-notch professionals in AI, blockchain, business, marketing and operations with experience from: Hyperloop, Ericsson, McKinsey, Distrokid, etc. In 2017 Discoperi was recognized as top-50 global most innovative startups, top-10 the best hardware startups in Ukraine, top-15 the best startups in Spain. Objective of the Phase 1 project of SME Instrument is to develop an elaborate feasibility study for System EYE commercialization that would include: a thorough analysis of target markets, unique value proposition and entry strategy validation, regulatory requirements analysis, business model validation and business plan elaboration.

Keywords: artificial intelligence,ai algorithms,big data,machine learning,internet of things,blockchain,blockchain network,automotive data,data monetization,car accident prevention,safety
Paradigm shifts for railway – Technology uptake strategies for a lean, integrated and flexible railway system (FLEX-RAIL)

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: Italy,Austria,Netherlands,United Kingdom
Call: Paradigm shifts for railway (H2020-S2RJU-OC-2018, 2018)
Start date: 2018-12-01
End date: 2021-06-30
Duration (months): 31.0
Total project cost (EUR): 1099230.0
EU funding (EUR): 1099230.0
Participants: 4
Project status: CLOSED

Project FLEX-RAIL has the vision to target a lean, integrated and flexible railway system, which will stimulate further innovation within the rail sector and will ensure that rail services can address the future user needs. To achieve this, the following objectives and actions are defined: To have a Forecast of evolution of key fundamental technologies, identification of technical risks and of potential blocking points project FLEX_RAIL will review relevant existing and upcoming trends, influencing factors, innovations & earlier projects on blue-sky transport system. To look forward the possible achievement of the following future impacts the definition and implementation of a impact assessment framework and modelling tool for the defined rail scenario and transition pathways will be done. To formulate technological concepts a future rail system scenario will be developed based on a participatory process involving all users of the rail system.The scenario will build on the analysis of trends and innovations happening in other transport sectors and of railways sector blue-sky projects and disruptive technologies. Assessment of the scenario feasibility, considering the transition pathways, the potential business models and the governance processes will be done to the: • Identification of key aspects for business feasibility • Analysis of the current safety requirements and how the introduction of “train-centric” automated concept, the introduction of disruptive technologies and the digitalisation affect will change the railway safety approach. Conclusions, recommendations and implications for the S2R activities will end the project. Maximisation of impact will be achieved by interaction with other projects and dissemination with the objective to maximise the impact of the project amongst the rail sector and wider society thru co-operation with all existing bodies, parallel H2020 and S2R projects, scientific journals, trade publications.

Keywords: technology trends,user requirements,gap analysis,trend analysis,feasibility and impact assessment,kpi system,transition pathways,business models,service design thinking,user centric approach
Performance Optimisation and Productivity (POP)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Spain,France,France,France,United Kingdom
Call: Centres of Excellence for computing applications (H2020-EINFRA-2015-1, 2015)
Start date: 2015-10-01
End date: 2018-03-31
Duration (months): 30.0
Total project cost (EUR): 4048845.0
EU funding (EUR): 4048845.0
Participants: 8
Project status: CLOSED

High performance Computing is becoming a fundamental tool for the progress of science and engineering and as such for economic competitiveness. The growing complexity of parallel computers is leading to a situation where code owners and users are not aware of the detailed issues affecting the performance of their applications. The result is often an inefficient use of the infrastructures. Even when the need to get further performance and efficiency is perceived, code developers may not have sufficient insight on its detailed causes for addressing the problem properly. This may lead to blind attempts to restructure codes and consequent lack of efficiency. The objective of POP is to operate a Centre of Excellence in Computing Applications in the area of Performance Optimisation and Productivity. POP will offer the service of precisely assessing the performance of computing application of any sort, from a few hundred to many thousand processors. Also, POP will show its Customers the issues affecting the performance of their code and the most optimal way to alleviate them. POP will target code owners and users from all domains, including infrastructure operators, academic and industrial users. The estimated population of such applications in Europe is 1500 and within the project lifetime POP has the ambition of serving over 150 such codes. The Added Value of POP’s services is the savings generated in the operation and use of a code, which will result in a significant Return on Investment (fixing a code costs less than running it below its optimal levels) by employing best-in-class services and release capacity for resolving other priority issues. POP will be a best-in-class centre. By bringing together the European world-class expertise in the area and combining excellent academic resources with a practical, hand-on approach, it will improve the access to computing applications, thus allowing European researchers and industry to be more competitive.

Keywords: performance tools and analysis,code optimization,parallel programming models,productivity
Wearable Brain Monitoring Technology for Quick Diagnosis of Sleep Disorders (One-EG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-01-01
End date: 2017-06-30
Duration (months): 18.0
Total project cost (EUR): 149997.0
EU funding (EUR): 149997.0
Participants: 1
Project status: CLOSED

The standard method of diagnosing sleep disorders involves the patient attending a sleep clinic overnight where he/she is hooked by trained specialists to bulky, uncomfortable wired sensors, and monitored during sleep; preferably supervised because the sensors tend to get de-attached and require repositioning. The raw signals are subsequently manually analysed by a medical expert, this taking over 2 hours. Occasionally, for certain diseases the patient is sent home with an ambulatory system which is able to provide a very limited amount of information and is only relevant to some disorders. The main limitation of ambulatory sleep monitoring is that neurophysiological channels (EEG, EMG and EOG) cannot be used in practice. These are however the only ones that can provide full information about the different sleep phases as well as certain sleep biomarkers which are indicative of disease. The lack of neurophysiological channels is due to the unpractically high number that is required to identify sleep phases (specifically REM) and the associated difficulty on attaching them. Additionally, they are very uncomfortable for the user because the sensors (electrodes on different places on the head) are connected by wires to bulky and heavy boxes which impair the quality of sleep. This project will use state-of-the-art signal processing and hardware design techniques resulting from the PI’s ERC Starting Grant to create a novel, ultralow power, tiny, user friendly, and- for the first time- single channel EEG wearable technology for automatic monitoring of sleep, and diagnosis of sleep disorders. The technology will represent a major breakthrough because of, amongst others: 1. Its size− over 20 times lighter and 50 times smaller than any other existing system. 2. Its ease of use and comfortability, facilitated by the fact that will be just one-channel EEG. 3. Its accuracy in automatic sleep analysis, comparable to multiple channel (i.e. non wearable) systems.
Behavioral and cognitive mechanisms promoting collective intelligence in human groups (SmartMass)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-02-28
Duration (months): 18.0
Total project cost (EUR): 138807.0
EU funding (EUR): 138807.0
Participants: 1
Project status: CLOSED

This research project will develop novel tools to investigate the interactions between individuals and the behavioral and cognitive mechanisms that promote the emergence of collective intelligence in humans, by integrating methods from biology, physics, economics and social sciences. Economics and biology, two disciplines that study the behavior of living beings, have followed distinct routes to analyze the behavior of human groups. While macroeconomic models rely on complex individual behavior and study static equilibria and steady states, biologists tend to focus on simple individual behaviors to study population heterogeneities and complex group dynamics. Simultaneously, physicists have developed a powerful set of methods and mathematical models to study the dynamics of particle systems and are very recently being combined with behavioral heuristics borrowed from cognitive science. Merging experimental and theoretical work, we will investigate the mechanisms by which the processing of information between individuals lead to collective decisions, and the specific situations where individual behaviors and choices are affected by the group. We will design and execute specific experiments to study how human groups select alternative solutions to solve specific problems, where anticipation about future actions/events will be formulated under different conditions of information. The resulting mathematical models based on the experimental data, including behavioral and cognitive processes at the individual scale, will give access to the type of information needed by the group to become more efficient in solving a given problem. These models will be analytically and numerically studied by means of classical and novel tools of statistical physics, complex networks and game theory. The present project thus aims to combine insights and methods from diverse disciplines to deliver novel hybrid models to study the emergence of collective intelligence in social human systems.

Keywords: collective behavior,decision making,human cognition,mathematical modeling,experiments,complex systems,numerical simulations,pdes,statistical physics,game theory,networks
TWINNING ON DNA-BASED CANCER VACCINES (VACTRAIN)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Ukraine,Poland,Sweden,Latvia
Call: Twinning (H2020-TWINN-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 999475.0
EU funding (EUR): 999475.0
Participants: 4
Project status: CLOSED

The objective of this Twinning project is to significantly strengthen the research in Riga Stradins University (RSU; Latvia) in the smart specialization area of Latvia “bio-medicine, medical technologies, and biotechnologies” with application to immunotherapy of cancer through building an up-rising connections with two internationally leading research institutions, Institute of Microbiology, Tumor and Cell Biology, Karolinska Institutet (Sweden) and the Department of General Biophysics, University of Lodz (Poland). Both represent centers of excellence in the design, testing and clinical applications of a wide class of immunotherapeuticals, with focus on technologies exploiting naked nucleic acids.

Keywords: promotion of excellence,training,researcher mobility,smart specialization strategy,immunotherapy of cancer,small molecules,delivery,adjuvant effects,increasing vaccine potential
GNSS/INS Low-cost Attitude Determination and navigation system - Phase 2 (GLAD-2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: SME instrument
Countries involved: Spain
Call: SME Instrument (H2020-SMEINST-2-2015, 2015)
Start date: 2016-01-01
End date: 2018-03-31
Duration (months): 27.0
Total project cost (EUR): 1414933.0
EU funding (EUR): 990453.1
Participants: 1
Project status: CLOSED

GLAD-2 is aimed at the industrialisation of an innovative product (GNSS low cost and highly accurate attitude determination system, reinforced magnetic immunity) and its commercialisation plan. The innovative and technologically advanced prototype (TRL6), outcome of an FP7 project, (with proven feasibility through SME-INST-1 project) will be transformed into a TRL9 profitable product. It avails an identified business opportunity derived from the UAS/RPAS expansion and lack of high precision and low cost positioning solutions. This will be done in parallel to the regulation harmonisation in Europe, thus fostering this niche market, mainly in the civilian professional sector, for precision accuracy and/or magnetic interference sensitive applications. ACORDE expects to reach the 5% European market share, offering this product to autopilot/sensor developers, UAS integrators and UAS manufacturers, what will imply a cumulative turnover of 8.5M€ and cumulative profit of 1.6M€ in the 2016-2022 period, generating 5 FTE positions in the company. Since the company strategy is based on high technology engineering connected to radiofrequency and satellites, creating robust, reliable and high performance products, it is clear that the goal pursued in GLAD-2 is absolutely aligned with the corporate strategy, complementing the high-tech offering, consolidating the UAS supplier capabilities, and exploiting an experienced R&D line within the company. Therefore, this opportunity represents a key milestone in the strategic implementation plan: not only will promote the GNSS/Galileo products market activity, but also will open new niche markets for the company, thus increasing the probabilities of synergies, cross sales and incremental selling, creating a virtuous circle with the rest of the company technologies and products, not to mention the employment creation and the diversification of incomes, leading to a robustness and competitiveness improvement of the SME.

Keywords: gnss,galileo,egnos,attitude,navigation,low cost,accurary,high precision,rpas,positioning
Effective environmental policies in Europe in the context of rebound effects (EFFECT)

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-2015, 2015)
Start date: 2017-05-01
End date: 2019-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

European policymakers are increasingly concerned about the unsatisfactory outcomes of efforts to harmonise economic growth and welfare with environmental quality, in particular due to the so-called rebound effects. The main objective of the EFFECT project is to develop innovative methods to identify and quantify key rebound effects, and assess their potential to impede the achievement of environmental targets in Europe. Some specific research objectives are: (1) review and classification of key environmental policies and targets in the EU and Member States in the context of rebound effects; (2) improvement of theoretical and methodological aspects of macroeconomic models used in rebound effect studies by integrating the ‘environmental rebound effect’ perspective; (3) assessment of the impact of rebound effects via EU and country-level ex post assessment of past key environmental policies and ex ante assessment of future policy scenarios and (4) proposal of recommendations to achieve net environmental savings from environmental policies, including optimal combinations and configurations, as well as optimal levels of welfare and economic development and equality. To attain such objectives, the EFFECT project will design an innovative analytical framework by combining an interdisciplinary perspective with micro and macro-level aspects of rebound effects. Such framework would allow a more comprehensive and scientifically sound study of the interplay between rebound effects and policy. In the context of the pursuit of a sustainable economic growth in Europe, this project can aid European policymakers in the design of effective environmental policies. Furthermore, the development of innovative and state-of-the-art analytical frameworks aimed at tackling exceptional societal challenges such as climate change resonates with the ambition of putting Europe’s in-house science and researchers at the forefront of worldwide scientific excellence.