Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Microtubule organisation and polarized transport of kinesins in neurons (KINSELECT)

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: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-01
End date: 2017-04-30
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

The human brain consists of intricately connected neurons forming functional circuits encoding memory, emotions and cognition. A neuron’s polarized organisation into axons and dendrites underlies its ability to receive, process and transmit information. To establish and maintain such a highly complex organisation, cytoskeletal motor proteins transport basic building blocks to either axons or dendrites. Several members of the kinesin motor family are selectively moving into axons, presumably guided by the specific organisation of the neuronal microtubule cytoskeleton. However, how different aspects of microtubule network organisation, such as filament length, orientation and modifications, contribute to selective transport of these kinesins is poorly understood. Therefore the aim of this project is to determine the connection between neuronal microtubule organisation and polarized transport of different kinesins. We will map the three-dimensional microtubule network at nanoscale resolution (objective 1) and decipher the intracellular transport driven by kinesins with optogenetics (objective 2). The integrated and quantitative knowledge provided by this project will pave the way towards understanding polarized transport in health and neurodegenerative diseases.

Keywords: neuron polarity,intracellular transport,kinesin,microtubules,super resolution microscopy and optogenetics
Artificial Natural Products System Synthesis (ANaPSyS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Germany
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-04-01
End date: 2021-12-31
Duration (months): 69.0
Total project cost (EUR): 1497000.0
EU funding (EUR): 1497000.0
Participants: 1
Project status: CLOSED

Traditionally, natural products are classified into "natural product families". Within a family all congeners display specific structure elements, owing to their common biosynthetic pathway. This suggests a bio-inspired or "collective synthesis", as has been devised by D: W. MacMillan. However, a biosynthetic pathway is confined to these structure elements, thus limiting synthesis with regard to structure diversification. In this research proposal the applicant exemplarily devises a strategic concept to overcome these limitations, by replacing the dogma of "retrosynthetic analysis" with "structure pattern recognition". This concept is termed "Artificial Natural Product Systems Synthesis — ANaPSyS", and aims to supersede the current "logic of chemical synthesis" as a standard practice in this field. ANaPSyS exclusively categorizes natural products based on structural relationships — regardless of biogenetic origin. The structure pattern analysis groups natural products according to their shared core structure, and thereof creates a common precursor called "privileged intermediate (PI)". This intermediate is resembled in each of these natural products and is architecturally less complex. As a result every member of this natural product group can originate from a different natural product family and is obtained via this "privileged intermediate", which serves as basis for the artificial synthetic network. With ANaPSyS a synthetic route is not restricted to a single target structure anymore (as in conventional synthesis). In comparison with bio-inspired synthesis, which is limited to a single natural product family, ANaPSyS enables the synthesis of a whole set of natural product families. With every synthesis accomplished, the network is upgraded — hence diversification leads to a rise in revenue. As a consequence, synthetic efficiency is drastically enhanced, therefore profoundly boosting and facilitating lead structure development.

Keywords: natural product synthesis,total synthesis
Multimodal Agents Grounded via Interactive Communication (MAGIC)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-11-01
End date: 2020-10-31
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

One of the main goals of artificial intelligence is to build artificial agents that can interact with humans using natural language. To fully master language, an agent needs to know how to use it to accomplish a goal; to interact with another speaker; and to refer to objects in the external reality. My research project aims at equipping an artificial agent with all these skills in one single learning framework. Communication helps humans accomplish things in the world and cooperate with each other, resulting in continuous and incremental updating of the speakers’ knowledge state. However, traditional machine learning methods used to model language are based on static and passive regimes, and are typically not grounded in external reality. I propose a radically different research programme, based on recent advancements in training neural networks using reinforcement learning, that will enable the move from a static, fully supervised to a dynamic, interactive learning where the agents need to use language to accomplish a task in the visual world. This will dramatically accelerate the development of machines that can talk with humans. Even though I am an established researcher in computational linguistics, with substantial contributions to the integration of language and vision, I still need to fully develop my own line of research to become a leading, independent researcher in Europe. Carrying out the present proposal at Universitat Pompeu Fabra and Facebook Artificial Intelligence Research will be a fundamental step towards achieving my goal, since my hosts are leaders in computational linguistics, machine learning, and artificial intelligence in general, and specifically in the methods needed for the present proposal. Conversely, my unique profile, bridging computational linguistics and computer vision with machine learning methods, will widen the scope and outreach of the research conducted at both groups.

Keywords: computational dialogue modelling,end to end dialogue systems,multi agent,language grounding,language and vision,interactive learning,reinforcement learning,language generation,deep neural networks
Solid-state reactions for thermal energy storage (SOLSTORE)

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: Information Science and Engineering
Countries involved: Spain,France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-03-15
End date: 2019-03-14
Duration (months): 24.0
Total project cost (EUR): 161590.22
EU funding (EUR): 161590.22
Participants: 2
Project status: CLOSED

In this project proposal reversible solid-state chemical reactions (eutectoids, peritectoids) are proposed for the storing of thermal energy at high temperature (300-800 °C). The development of a novel heat storage concept, based on solid-solid reactions, proposed in this project, could contribute to open new scenarios in the thermal energy storage field. To the best of our knowledge, the use of this class of reactions for TES applications has not been explored so far. The goal of this study is the identification of solid-state reactions fulfilling a large number of scientific and technological requirements (high storage capacity, good thermal conductivity, mechanical and chemical stability, complete reversibility of a charging/discharging cycles etc.). For this scope, an interdisciplinary research strategy will be followed involving materials chemistry, physics and engineering disciplines to achieve a complete overview of their behaviour starting from basic research challenges, focused on the material development and characterization (reactivity, stability, kinetic, reversibility, heat and mass transfer etc.), up to arrive to the investigation of their feasibility in real applications (e.g. concentrated solar power technologies (CSP) and waste heat recovery). During the project a two direction transfer of knowledge will be applied. On one side, an intense training will be offered to the applicant by the host laboratory with the objective to increase his scientific and managerial skills. Secondment in one established European technological center with recognized international expertise in concentrating solar plants (CSP) technologies is also planned. On the other side, the applicant will make available the knowledge and competences matured along his career both to give an impulse to the scientific work and fulfil the objectives set in the project and to explore other funding opportunities and collaborations.

Keywords: thermal energy storage,solid state reaction,structural characterization,thermal characterization
InnoMedia (InnoMedia)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany,Italy,Hungary
Call: Peer learning of innovation agencies (H2020-INNOSUP-05-2016-2017, 2016)
Start date: 2017-04-01
End date: 2018-02-28
Duration (months): 11.0
Total project cost (EUR): 50000.0
EU funding (EUR): 50000.0
Participants: 3
Project status: CLOSED

Regional public authorities plan the territorial innovation policies, regional innovation support agencies design and/or implement innovation support programmes for SMEs in accordance with the innovation policies, monitor and evaluate the programmes outcomes, promote and manage regional innovation ecosystems, i.e. innovation-friendly environments. InnoMedia is ultimately a peer learning action for three innovation support agencies of three different European countries about policies, programmes, tools and services for SME innovation, which aims at enhancing the effectiveness of regional development policies and contribute to the transformation of knowledge into new products and services, innovative and attractive for the market.
A ground-breaking biomolecular production platform for safer, more efficient and sustainable pest control and crop health management (Lipofabrik)

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): 2266207.5
EU funding (EUR): 1586345.25
Participants: 1
Project status: CLOSED

LIPOFABRIK is an innovative start-up from the University of Lille, specialized in the production of biological molecules with application in the phytosanitary, food, cosmetic and medical cleaning markets. Our specialised team of researchers has developed and patented a production methodology for mycosubtilin, a bioactive lipopeptide produced by Bacillus subtilis with demonstrated antifungal and stimulating effects in several crops. Since 2013, LIPOFABRIK holds exclusivity on this patent, focused now on its market exploitation and IP portfolio expansion. LIPOFABRIK has invested over 5 years and €2.18 million in the development, validation and business preparation of mycosubtilin for application as biopesticide and biostimulant. We have demonstrated the safety, efficiency and effectiveness of mycosubtilin against fungal infections in open field and greenhouses, reporting the superior efficacy in several peer review publications. We have a lipopeptide production plant in pilot stage, yielding 50 kg per year. In views of the ongoing market demand, regulatory requirements and unmet needs faced by manufacturers of plant protection products, we aim to industrialise our production line responding to the market demand at a cost-efficient price. LIPOFABRIK aims to produce at quantities 10 times higher, with prices 5 times lower and higher purity than competitors offer. This project aims to overcome the current market shortage on lipopeptides, industrialising our proprietary formulation and process to be aligned with the voiced demand. Upon completion, we will operate the first industrial lipopeptide production plant in Europe, providing a sustainable and cost-efficient solution for natural plant protection. Our proprietary biopesticide ingredients will be sold at a competitive price, being the only European company with capability to deliver bulk amounts, from 200-400 tons per year, of lipopeptides needed for large scale application in agriculture and gardening.

Keywords: phytosanitary,fungicide,biopesticide,lipopeptide,mycosubtilin,integrated pest management
Doing Research Midnight in ROmania (DoReMi-RO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Romania,Romania,Romania,Romania,Romania,Romania,Romania,Romania,Romania
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020, 2020)
Start date: 2020-07-01
End date: 2021-02-28
Duration (months): 8.0
Total project cost (EUR): 95250.0
EU funding (EUR): 95250.0
Participants: 15
Project status: CLOSED

Doing Research Midnight in ROmania (DoReMi-RO) 2020 is the International Year of Sound, an area of high importance for science and technologies for all in modern society. Our team goal is to join the European Researchers’ Night event in Romania with this initiative, in order to emphasize both research activities and technological development mixed with sounds and music: DoReMi-RO. The promotion and dissemination of the research results among young people, in one day event, is at the same time welcome but also insufficient. For the moment the kids' curiosity will be sparked but on the next day they feel that everything is beautifully solved in science and there is not much left to do. Then, the research as a career might be unattractive. After a single successful evening, as the Night is, the event must be transformed into a new public challenge based on the well-known concept of collaborative engagement. Thus, the general objective of the project is to raise awareness on research results baked by experiments, involving the participants in a particular citizen science project whereby researchers and the public are working together. The collaborative process will take place before, during and after the Night event and aims to make the magnetic map of Romania. All together will use common smartphones to measure the magnetic field, throughout Romania. The anonymous collaborative public have to send us the measured data, along with the GPS coordinates, uploaded on an internet web-platform. DoReMi-RO event will be held in more than 15 cities, spread throughout entire Romanian territory, among which: Baia Mare, Brasov, Bucharest, Cluj, Constanta, Craiova, Iași, Pitesti, Timișoara, Sibiu and Suceava. All proposed activities are represented by various minds-on and open-air activities: hands-on experiments, debates about collaborative engagement types, games, quizzes, organized in an amusing and stimulated manner by real researchers.

Keywords: research,science,technology,hands on and minds on experiments,collaborative engagement,citizen science
Protein phosphatase 1-disrupting peptides: Scope and mechanism of action in the treatment of heart insufficiency (PDPcardio)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-02-01
End date: 2026-01-31
Duration (months): 72.0
Total project cost (EUR): 1998750.0
EU funding (EUR): 1998750.0
Participants: 1
Project status: SIGNED

Protein phosphatase-1 (PP1) is a ubiquitously expressed enzyme known to dephosphorylate a large number of the phosphorylated serines and threonines. The catalytic subunit PP1c is bound to regulatory proteins in holoenzymes. These play specific and fundamental roles in physiological processes and pathologies. One key role lies in the regulation of important cardiac signaling pathways and calcium homoeostasis. Accordingly, deregulation of PP1 has been implicated in cardiac dysfunctions. Powerful tools to study PP1 biology are our own developed PP1-disrupting peptides (PDPs) that selectively release PP1c (bound to PDP: PDP–PP1c) activity in cells. Recently, we showed that PDP treatment counteracts kinase hyperactivity and seals the arrhythmogenic sarcoplasmic reticulum (SR)-calcium-leak in human heart failure tissue. Mechanistic data indicated that PDP–PP1c-mediated dephosphorylation of the ryanodine receptor type 2 (RyR2) is involved in this effect. Nevertheless, given the large amount of potential PP1 substrates, so far the scope of PDP action is unknown, and therefore the mechanisms underlying this beneficial and potentially therapeutic effect of the PDPs in heart failure are unclear and currently hard to investigate. PDPcardio will address these challenges by providing new chemical biology methodologies combined with proteomics approaches using PDPs to guide PP1c to its substrates and to identify PDP-mediated interactions of PP1. These strategies will enable identifying the scope of PDP action in general, and in particular they will be applied here in cardiomyocytes to study the effects of PDP–PP1c. The results will provide the basis to fine-tune targeting PP1 for the treatment of heart insufficiency. Furthermore, the principles and methods developed here will be applicable more generally for defining the interaction scope of target-bound ligands (drugs) as well as for using PP1 as tool in synthetic biology.

Keywords: phosphatases,drug discovery,molecular mechanism of cell signalling,heart insufficiency and failure
SESCOM Business Intelligence platform for energy saving and smart facility management (SES-BI)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Poland
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-09-01
End date: 2016-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

SESCOM has invented a Smart Facility Management Model, which has been successfully applied in management of premises of global leading companies like H&M or LPP. The model leads to substantial reduction of operational expenses and energy costs. Recently SESCOM decided to put business intelligence software in the very core of its services in order to provide facility owners with tools to optimize energy use on the basis of data analytical approach. The overall aim of SES-BI is to design and deploy to the global markets a business intelligence platform for energy-efficient facility management in B2B context. This will be accomplished as SESCOM will: 1. Redesign, develop and mature SESCOM IT solutions into a full-grade Business Intelligence platform (SESBI). 2. Deliver necessary analytical algorithms for advanced data processing that will reflect conceptual model and methodology of energy-auditing policies and directives implemented in European states in result of EP directive no. 2012/27/EU and regulation no. 517/2014. 3. Implement business intelligence services based on data exchange between all stakeholders in operations network for recommendations and decision-making in energy efficiency domain. 4. Conduct validation campaigns of the targeted system in cooperation with global retail brands (e.g. H&M). 5. Expand on the international markets in Europe, starting from deployments in MANGO, LPP, C&A and ORSAY. The expected, targeted outcome of this innovation project is a commercially mature, fully validated SESBI business intelligence for facility management that will be deployed on the global markets. In preparation of overall innovation project, in Phase 1 SESCOM will conduct a thorough feasibility study related to maturing the SESBI system and provide business plan and assessment of economic viability of the deployment of the project outcome.

Keywords: energy efficiency,building automation,business intelligence,facility management
MObility and Training fOR beyond 5G Ecosystems (MOTOR5G)

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: Italy,Spain,Bulgaria,Greece,Romania,Greece,United Kingdom,Denmark,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-11-01
End date: 2025-01-31
Duration (months): 63.0
Total project cost (EUR): 3979000.62
EU funding (EUR): 3979000.62
Participants: 10
Project status: SIGNED

The main objective of the project MOTOR5G is to motivate and skill competitive young researchers through involvement and engagement in a variety of research activities enabling them to work on real-life technical issues, across multiple European countries and organizations, and providing a strong networking opportunity through participation as speakers in conference and workshop events and through engagement with industry and other stakeholders (e.g. standardization). We also want to provide them with communications skills, the ability to work in groups and an understanding of the integrity and ethics in research. The project focus is on embedding artificial intelligence into 5G communication systems for the smarter use of network-generated data, the automated enabling of network operators and service providers to adapt to changes in traffic patterns, security risks and user behavior and thus paving the way towards safe and reliable next-generation wireless ecosystems. The project considers aspects such as use of drone-based technology for enhanced multi-antenna and data forwarding techniques, use of artificial intelligence for novel adaptive digital beamforming techniques applied on realistic antenna arrays; communications in the millimetre-wave bands, blockchain-based approach to spectrum management and sharing, use of machine learning for enhanced quality of experience, and would in parallel focus on novel business models to sustain profitable operation of beyond 5G ecosystems. The research team would comprise young researches supervised by committed experts from the industry and academia to advance the state of the art in the above areas. Three demonstration scenarios have been planned: localization, drone-based communications, and combined 5G-based video production and video distribution network in a stadium.

Keywords: training,researchers,mobility,innovation