Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
SOUTHINNO (SOUTHINNOGATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Türkiye,Türkiye,Türkiye,Türkiye
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 51147.5
EU funding (EUR): 47448.75
Participants: 6
Project status: CLOSED

The overall objective of the Project is to boost a single, coherent and collaborative Single Market that will be consisted of the actors of European Union and third countries at regional level, aiming the competitiveness, integration, innovation and internationalism of the SMEs in the regions of Europe. The acceleration of globalization, aided by the rapid development in information and communication technologies, improved access facilities and innovation factors present opportunities and challenges to small and medium sized enterprises. Participation into a Network and being the part of a single market can give SMEs the opportunity to attain financial stability, increase productivity and opportunity to expand their markets. Cooperation within a network of upstream and downstream partners can enhance a firm’s status, information flows and learning possibilities, introduce new business practices and more advanced technology. On the other hand, SMEs’ involvement in a Network demands greater managerial and financial resources, the ability to meet international standards and the protection of in house intellectual property. SMEs need support to meet these challenges. European Enterprise Network will open a great path to SMEs in the region in support of business competitiveness and integration based on “nowrong door” concept. Within the framework of EEN Project and at Horizon 2020 the project consortium will aim to result that the majority of regional SME’s gain momentum from the point where there have low value internal dynamics to the point where perform with added value international dynamics.

Keywords: cosme,southinnogate,horizon
Deep brain targets for neurostimulation in affective disorders (Debrasa)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-05-01
End date: 2019-04-30
Duration (months): 24.0
Total project cost (EUR): 187419.6
EU funding (EUR): 187419.6
Participants: 1
Project status: CLOSED

Objective: The overarching goal of proposed project is to provide necessary knowledge about neurobiology of Major Depression Disorder (MDD), which would lead to higher efficacy in treatment of this affective disorder. The research objectives of the action are 1) identification of electrophysiological biomarkers of functional brain abnormities in treatment resistant depression (TRD) and 2) suggestion of novel targets for neurostimulation in patients with TRD. Methods: Twenty patients with major Depression Disorder (MDD) and 20 healthy controls will undergo a resting-state high-density EEG recording (HD-EEG). Microstate analysis will be performed to identify possible biomarkers of functional brain abnormity in MDD. Source activity will be obtained for regions of interest (ROI) using individual head model and a distributed linear inverse solution. Directed functional connectivity using Granger causal modelling will be applied to the source signals of ROI to identify abnormally interconnected nodes. Relevance: If new biomarkers of functional brain abnormity in MDD are identified, better characterisation of pathophysiology of depression will be made. If abnormal nodes of large-scale brain neuronal network are identified, new and individually specific targets for deep brain stimulation (DBS) will be suggested. These findings will support future implementation of highly individualised DBS treatment of TRD.

Keywords: high density electroencephalography,directed functional connectivity,microstate analysis,electrical source imaging,major depression disorder,treatment resistant depression,deep brain stimulation
Keep the Energy at the right place! (EnergyKeeper)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Italy,Israel,Lithuania,Lithuania,Netherlands,Netherlands,Netherlands
Call: Next generation innovative technologies enabling smart grids, storage and energy system integration with increasing share of renewables: distribution network (H2020-LCE-2016-SGS, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 3995255.0
EU funding (EUR): 3995255.0
Participants: 11
Project status: CLOSED

Main idea is to allow individual users and urban communities in remote (isolated) areas to benefit from a local low carbon economy. The project will enable the communities and individual users to participate in the smart grid context, it will develop an intelligent storage solution optimizing the communities demand and supply. The solution will be scalable towards size of the community (30-10.000 households) and their capacity of renewable energy generation and available storage capacity (i.e. number of EV´s). It will: Scale up of cheap and more environmental friendly storage solution for medium/ low voltages It will mitigate on electricity poverty related to the intermittent generation of renewable electricity Development of the business model between community and local and national renewable energy generation. Flatten the peak demands to Distribution System Operators (DSO´s)/ Energy Service Companies (ESCo´s) network Development of the local smart charging model (for the EV´s) for the community to reduce peak demands (optional) Research on new needs of communication protocols between end users (smart meters, EV) with storage solution and / or retailer in line with Expert Group of the SMGT

Keywords: redox flow battery,smartmeter,prosumer,usef,communication,protocol 61850,energy efficient storage,business model
Dynamics of photoinduced resonant energy transfer characterized at the single molecule level. (PRETZEL)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-05-01
End date: 2022-04-30
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

Energy transfer constitutes a basic step of photosynthesis, photocatalysis and operation of optoelectronic devices in which the energy of a photon absorbed by one entity (donor) is transferred to another entity (acceptor) where it is further processed. The fundamentals of this process are routinely studied using optical-based methods, which are sensitive to its spectroscopic and temporal characteristics. However, these techniques are diffraction-limited, leading to spatial averaging of the fine details occurring at the molecular scale, and do not allow to study how energy transfer and its dynamics are affected by minute change variations of the atomic-scale environment of the donor-acceptor pair. Therefore, crucial questions remain to be addressed: Can we probe and control ET as a function of the precise nanometre distances and orientation of the single donor-acceptor pairs? What is the nanometre-scale interplay between different ET mechanisms? How are the dynamics, and thus the efficiency, of ET affected by these parameters? Can we probe more complex behaviours involving ET or mimic light-harvesting systems based on artificial supramolecular architectures? To reach the required scale a novel approach will be developed that combines the atomic-scale precision of a low-temperature scanning tunnelling microscopy with time-resolved tip-enhanced photoluminescence. This original technical association will enable studies of energy transfer dynamics between individual molecules with simultaneous pm and ps at the unprecedented scale. The fundamental knowledge gained during the project, as well as technological development, will lead to a better understanding of the atomic-scale phenomena driving photosynthesis and optoelectronic devices operations. Furthermore, PRETZEL will offer extensive interdisciplinary training for a young researcher, creating the base for a highly successful scientific career.

Keywords: scanning tunneling microscopy
Cuts and decompositions: algorithms and combinatorial properties (CUTACOMBS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Poland
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-03-01
End date: 2022-08-31
Duration (months): 66.0
Total project cost (EUR): 1228250.0
EU funding (EUR): 1228250.0
Participants: 1
Project status: CLOSED

In this proposal we plan to extend mathematical foundations of algorithms for various variants of the minimum cut problem within theoretical computer science. Recent advances in understanding the structure of small cuts and tractability of cut problems resulted in a mature algorithmic toolbox for undirected graphs under the paradigm of parameterized complexity. In this position, we now aim at a full understanding of the tractability of cut problems in the more challenging case of directed graphs, and see opportunities to apply the aforementioned successful structural approach to advance on major open problems in other paradigms in theoretical computer science. The specific goals of the project are grouped in the following three themes. Directed graphs. Chart the parameterized complexity of graph separation problems in directed graphs and provide a fixed-parameter tractability toolbox, equally deep as the one in undirected graphs. Provide tractability foundations for routing problems in directed graphs, such as the disjoint paths problem with symmetric demands. Planar graphs. Resolve main open problems with respect to network design and graph separation problems in planar graphs under the following three paradigms: parameterized complexity, approximation schemes, and cut/flow/distance sparsifiers. Recently discovered connections uncover significant potential in synergy between these three algorithmic approaches. Tree decompositions. Show improved tractability of graph isomorphism testing in sparse graph classes. Combine the algorithmic toolbox of parameterized complexity with the theory of minimal triangulations to advance our knowledge in structural graph theory, both pure (focused on the Erdos-Hajnal conjecture) and algorithmic (focused on the tractability of Maximum Independent Set and 3-Coloring).

Keywords: theoretical computer science,fixed parameter tractability,parameterized complexity,structural graph theory,cut and flows in graphs,directed graphs,planar graphs,graph decompositions
Sustainable Integrated Management FOR the NEXUS of water-land-food-energy-climate for a resource-efficient Europe (SIM4NEXUS)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Research and Innovation actions
Countries involved: Azerbaijan,Spain,Italy,Italy,Germany,Spain,Austria,Malta,Belgium,Slovakia,Greece,Sweden,Sweden,Latvia,France,France,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,United Kingdom,Japan,United Kingdom
Call: Integrated approaches to food security, low-carbon energy, sustainable water management and climate change mitigation: (H2020-WATER-2015-two-stage, 2015)
Start date: 2016-06-01
End date: 2020-06-30
Duration (months): 49.0
Total project cost (EUR): 7895657.5
EU funding (EUR): 7895657.5
Participants: 28
Project status: CLOSED

Land, food, energy, water and climate are interconnected, comprising a coherent system (the ‘Nexus’), dominated by complexity and feedback. The integrated management of the Nexus is critical to secure the efficient and sustainable use of resources. Barriers to a resource efficient Europe are policy inconsistencies and incoherence, knowledge gaps, especially regarding integration methodologies and tools for the Nexus, and knowledge and technology lock-ins. SIM4NEXUS will develop innovative methodologies to address these barriers, by building on well-known and scientifically established existing “thematic” models, simulating different components/“themes” of the Nexus and by developing: (a) novel complexity science methodologies and approaches for integrating the outputs of the thematic models; (b) a Geoplatform for seamless integration of public domain data and metadata for decision and policy making; (c) a Knowledge Elicitation Engine for integrating strategies at different spatial and temporal scales with top down and bottom up learning process, discovering new and emergent knowledge, in the form of unknown relations between the Nexus components and policies/strategies; (d) a web-based Serious Game for multiple users, as an enhanced interactive visualisation tool, providing an immersive experience to decision- and policy-makers. The Serious Game will assist the users (as players) in better understanding and visualising policies at various geo-/spatial scales and from a holistic point of view, towards a better scientific understanding of the Nexus. The Serious Game will be validated (applied, tested, verified and used) via ten Case Studies ranging from regional to national level. Two further Strategic Serious Games at European and Global levels will also be developed for demonstration, education and further exploitation purposes, accompanied by a robust business plan and IPR framework, for taking advantage of the post-project situation and business potential.

Keywords: nexus,water,land,food,energy,climate change
Combining CT Scanning and Spectroscopy to Characterise Micro-Plastics, a Growing Threat to Seabirds and other Marine Animals (PLASTICSCAN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2024-01-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Plastic debris is now a major source of anthropogenic pollution with >5 trillion fragments of micro-plastic in the world's oceans, and can lead to deleterious and often fatal consequences when ingested by seabirds and other marine animals, including hormonal disruption, chemical toxicity, or obstruction of digestive tract. In this action we propose to develop a standard method for characterisation of plastic fragments in the environment, using a combination of micro-CT scanning and FTIR, Raman spectroscopy to measure both physical parameters (size, shape, surface area) and chemical properties (primary polymers, additives, etc.) of individual fragments. We intend to apply the developed methodology to an existing collection of >10,000 plastic fragments extracted from living and dead seabirds over 10 years, and identify which properties of ingested plastics are associated with the greatest negative impact on seabird physiology and health outcomes. Analysis of preserved seabirds from spirit collections will provide historical context for the onset and rise of plastic contamination in seabirds over recent decades. The effect of environmental aging on plastics will be investigated by laboratory studies of several industrial polymers that comprise a major fraction of marine plastic pollution, identifying the spectroscopic signature of photo-chemical degradation under ambient marine conditions and in the acidic environment of seabird stomachs. With the increasingly ubiquitous presence of plastic debris in the environment, it is more important than ever that we understand the precise mechanisms by which that debris negatively impacts marine life so that we may mitigate those effects.
Spore killer genomics: elucidating causes and consequences of a fungal meiotic drive element (SpoKiGen)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Sweden
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-05-01
End date: 2020-04-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: CLOSED

The traditional view of the genome is that of a highly coordinated network that has evolved to produce a successful individual. However, the alternative view of the genome as containing intrinsically conflicting parts that coevolve antagonistically, has recently emerged. Today, it is widely accepted that conflicts caused by selfish genetic elements is a driving force for evolutionary innovation, and hence, is of fundamental importance for all aspects of evolution. Nevertheless, empirical data on the topic is largely lacking. Here, I introduce the fungus Neurospora as a novel study system of the evolutionary significance of meiotic drive. In this sexual eukaryote model system, the meiotic drive element Spore killer is found. The cytological properties and natural distribution of Spore killing in Neurospora has been investigated for several decades, and preliminary data suggests that it is an important driver of both genome evolution and of higher-order evolutionary processes. The existing knowledge and resources of this system provide a foundation for the proposed research program, in which I plan to build a tool-kit of genomic and experimental resources to I) identify and characterize the gene(s) encoding Spore killer elements, II) assess the strength of Spore killer as a meiotic drive, III) unravel the evolutionary history of the Spore killer complex in Neurospora, IV) investigate the association between Spore killer and genome evolution, and V) analyze the role of Spore killer as a driver of speciation and mating system transitions. This research program will manifest the Spore killer as a primary and pioneering model for the study of meiotic drive, and profoundly impact our understanding of segregation distorters as drivers of eukaryote genome evolution. Furthermore, insights emerging from the project presented are conceptually important for basic evolutionary biology, in the study of natural selection acting at multitudinal levels in a biological hierarchy.

Keywords: genomic conflict,multilevel selection,fungi,genome evolution
Bayesian Neural Networks for Bridging the Gap Between Machine Learning and Econometrics (BNNmetrics)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: CLOSED

The complexity and volume of financial data in modern financial markets have been exponentially growing during the last decades. Machine learning (ML) methods such as Deep learning (DL) have been widely utilized for several classification and prediction problems, given their intrinsic flexibility, appropriateness for large multidimensional problems, and ability to discover and adapt to non-linear patterns. However, the enormous number of parameters, their difficult interpretation and inability do deal with uncertainties represent DL’s main shortcomings. On the other hand, classic econometrics methods, of limited variables, great interpretability and with excellent probabilistic properties, have failed to prove appropriate for the analysis of modern high-frequency data. The application in financial econometrics of a DL sub-class of algorithms known as Bayesian neural networks (BNNs) is expected to revolutionize the process of modeling, analyzing, and understanding trading behavior in real markets. BNNs’ attractive properties have the potential of bridging the gap between classic econometrics and ML. This research will show measurable improvements over the current state of the art, both from the financial econometrics and the ML sides, in three problems defined on high-frequency financial data: volatility modeling, stock mid-price movement prediction, and interdependence analysis between stock prices.

Keywords: networks bayesian learning bigdata econometrics finance