Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Coevolutionary Policy Search (CoPS)

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: United Kingdom
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-10-01
End date: 2021-09-30
Duration (months): 72.0
Total project cost (EUR): 1480632.0
EU funding (EUR): 1480632.0
Participants: 1
Project status: CLOSED

I propose to develop a new class of decision-theoretic planning methods that overcome fundamental obstacles to the efficient optimization of autonomous agents. Creating agents that are effective in diverse settings is a key goal of artificial intelligence with enormous potential implications: robotic agents would be invaluable in homes, factories, and high-risk settings; software agents could revolutionize e-commerce, information retrieval, and traffic control. The main challenge lies in specifying an agent's policy: the behavioral strategy that determines its actions. Since the complexity of realistic tasks makes manual policy construction hopeless, there is great demand for decision-theoretic planning methods that automatically discover good policies. Despite enormous progress, the grand challenge of efficiently discovering effective policies for complex tasks remains unmet. A fundamental obstacle is the cost of policy evaluation: estimating a policy's quality by averaging performance over multiple trials. This cost grows quickly with increases in task complexity (making trials more expensive) or stochasticity (necessitating more trials). To address this difficulty, I propose a new approach that simultaneously optimizes both policies and the manner in which those policies are evaluated. The key insight is that, in many tasks, many trials are wasted because they do not elicit the controllable rare events critical for distinguishing between policies. Thus, I will develop methods that leverage coevolution to automatically discover the best events, instead of sampling them randomly. If successful, this project will greatly improve the efficiency of decision-theoretic planning and, in turn, help realize the potential of autonomous agents. In addition, by automatically identifying the most useful events, the resulting methods will help isolate critical factors in performance and thus yield new insights into what makes decision-theoretic problems hard.

Keywords: decision theoretic planning,sample based planning,reinforcement learning,stochastic optimization,evolutionary computation,coevolution
Genetic and Small Molecule Modifiers of Lysosomal Function (LysoMod)

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: Life Sciences
Countries involved: Israel,Argentina,Italy,Germany,Romania,United States,United Kingdom,United Kingdom,Chile,United Kingdom,Portugal
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-03-01
End date: 2022-08-31
Duration (months): 66.0
Total project cost (EUR): 1156500.0
EU funding (EUR): 1102500.0
Participants: 14
Project status: CLOSED

LysoMod will innovate in the area of personalized medicine for disorders linked to lysosomal dysfunction. This will be achieved by implementing a collaborative staff-exchange program between highly complementary and multidisciplinary academic and non-academic partners with expertise in pharmacology, medicinal chemistry, cell biology, biochemistry, mouse and human genetics, transcriptomics, proteomics and lipidomics. Based on the critical role that lysosomes play in cells, a better understanding of lysosomal function will have a major impact on human health, fostering the development of new strategies to improve quality of life for people affected by a variety of diseases, ranging from lysosomal storage diseases (LSDs) to age-related neurodegenerative disorders. LysoMod’s specific objectives are: 1) to develop and further optimize existing therapies for LSDs; 2) to identify new targets for personalized therapies for LSDs; and 3) to investigate the cross-talk between lysosomal function, signalling pathways and gene expression regulation. The pioneer work of a participant in the consortium led to the development of a drug that is approved for clinical use. LysoMod will i) investigate the mechanisms of action of this and other drugs in lysosome-related disorder; ii) identify modifier genes involved in LSD pathology and test their potential as new targets for personalized therapeutic approaches; iii) identify candidate RNAs that can be targeted to enhance lysosomal function. The companies in the consortium will ensure a rapid transfer of new knowledge into applications for diagnostics and clinical trials. Prioritising lysosomal dysfunction as a highly relevant biomedical problem, the LysoMod consortium will implement a mentored staff-exchange program to provide young researchers with high-level training in innovative approaches for exploring biological systems, preparing the next generation of researchers for careers either in the private or public health sectors.

Keywords: lysosome,lysosomal storage diseases,lipidomics
Dualities ANd Correspondences IN algebraic Geometry via derived categories and noncommutative methods (DANCING)

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: Mathematics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

In the last few years, our understanding of algebraic geometry has undergone a radical reinterpretation as many classical problems are being solved using derived categories. These are a tool to translate geometric input into algebraic notions, retaining much of the initial information but at the same time allowing extra flexibility to work in an algebraic setting. The purpose of the proposal is to gain a deeper understanding of the behavior of derived categories and contribute to the unity of the subject, connecting several of its subfields in a clear, transparent way. In turn, we will exploit the power of derived categories and apply them to more classical fields to gain insight that would be impossible with traditional methods: applications will include classical algebraic geometry via singularity theory, but also symplectic geometry via Homological Mirror Symmetry. Project DANCING will use a wide array of tools including algebraic geometry, noncommutative algebra, representation theory, DG and A-infinity methods. This innovative, multifaceted approach will allow us on one hand to understand better the abstract underpinnings of derived categories and their relation to other homological constructions, and on the other hand to use cutting-edge new techniques like stability conditions and a derived-categorical duality to have a concrete impact on our general knowledge of geometry. Project DANCING will take advantage of the world-class research group at the School of Mathematics of the University of Edinburgh, and the complementary skill set of the applicant, to create high impact research. Knowledge transfer forms a central part of DANCING and will be bi-directional. The applicant will further take advantage of training events and teaching opportunities. By the end of DANCING, it is expected that she will have gained a position of international prominence and will have a concrete track record of setting her own research agenda.

Keywords: derived categories,fourier mukai,stability conditions,quotient singularities,homological projective duality
Global vision, standardisation stakeholder engagement in 5G (global5g.org)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Partnership: 5G PPP (cPPP)
Countries involved: Italy,Italy,Finland,France,United Kingdom
Call: 5G PPP Research and Validation of critical technologies and systems (H2020-ICT-2016-2, 2016)
Start date: 2017-07-01
End date: 2019-12-31
Duration (months): 30.0
Total project cost (EUR): 895000.0
EU funding (EUR): 895000.0
Participants: 6
Project status: CLOSED

Global5G.org addresses the ICT-07 call as the EU led project dedicated to international technology advances in 5G, with a focus on: standardisation, regulations, & market verticals & identifying existing gaps in technology. A Collaboration web platform will showcase & monitor EU & international initiatives and joint R&I programmes with regard to 5G capabilities, standardisation, verticals, & related spectrum. Global5G.org analyses the sustainability strategies and identifies new business models, considering also private & public investments through pragmatic engagement drivers. Global5G.org will report on research findings taken to standardisation, testing validation to market uptake with a close eye on the vertical markets selected and mapping them into the right stakeholder groups. The Global5G.org consortium is domain-skilled & complementary. Trust-IT: Expert SME in communicating ICT innovation, engaging in ICT standards activities, developing ICT tools & go-to-market strategies. Aalto university: A Finnish multidisciplinary university takes an active role in shaping the 5G research agenda; IDC: Premier global provider of market intelligence, consumer technology market research, with over 1,100 analysts across the world; inno TSD: Experts in innovation management & technology transfer, international cooperation & EU & US focus on 5G key to involving multiple stakeholder groups. An influential External Advisory Group (EAG), passionate and competent around 5G technology supports the consortium. Main Outputs: Continuously updated technology radar & online catalogue & experimental platforms 5G PPP results through a collaboration web platform, a permanent international multi-stakeholder group, 3 market gathering workshops, 3 int. satellite events, 6 webinars, Roadmap on Int. cooperation & standardisation, 3 Strategic Research Agendas; a Common Reference Model for regulations, a sustained, international Business oriented Working Group.

Keywords: international technology advances in 5g,5g standardisation,5g regulatory environment,5g market verticals,public private partnerships
Beyond 5G – OPtical nEtwork coNtinuum (B5G-OPEN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Spain,Spain,Italy,Germany,Germany,Italy,Italy,Spain,France,Czechia,Netherlands,United Kingdom,Portugal,United Kingdom
Call: 5G PPP – Smart Connectivity beyond 5G (H2020-ICT-2020-2, 2020)
Start date: 2021-11-01
End date: 2024-10-31
Duration (months): 36.0
Total project cost (EUR): 5465068.75
EU funding (EUR): 5465068.75
Participants: 19
Project status: SIGNED

B5G-OPEN targets the design, prototyping and demonstration of a novel end-to-end integrated packet-optical transport architecture based on MultiBand (MB) optical transmission and switching networks. MB expands the available capacity of optical fibres, by enabling transmission within S, E, and O bands, in addition to commercial C and/or C+L bands, which translates into a potential 10x capacity increase and low-latency for services beyond 5G. To realize multiband networks, technology advances are required, both in data, control and management planes. Concerning devices, these include new amplifiers, filterless subsystems, add/drop multiplexers, etc. Such technology advances complement novel packet-optical white boxes using flexible sliceable Bandwidth Variable Transceivers and novel pluggable optics. The availability of MB transmission will also lead to a complete redesign of the end-to-end architecture, removing boundaries between network domains and reducing electronic intermediate terminations. The control plane will be extended to support multiband elements and a ‘domain-less’ network architecture. It will rely on physical layer abstraction, new impairment modelling, and pervasive telemetry data collection to feed AI/ML algorithms that will lead to a Zero-Touch networking paradigm including a full featured node operating system for packet-optical whiteboxes. The results will be shown in two final demonstrations exposing the project benefits from operator and user perspectives. B5G-OPEN will have a clear impact on the society showing the evolution towards a world with increased needs of connectivity and higher capacity in support of new B5G services and new traffic patterns. The consortium includes partners from 8 countries: three major telecom operators, three vendors, four SMEs and four research centres and academia, combining several years of experience and a successful record in past European projects on related technologies, thus guaranteeing its success.

Keywords: multi band networks,smart ai,ml control plane,packet opto white boxes
NETWORKING FOR RESEARCH AND DEVELOPMENT OF HUMAN INTERACTIVE AND SENSITIVE ROBOTICS TAKING ADVANTAGE OF ADDITIVE MANUFACTURING (R2P2)

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: Spain,France,Czechia,Denmark
Call: Twinning (H2020-WIDESPREAD-2018-03, 2018)
Start date: 2020-01-01
End date: 2023-06-30
Duration (months): 42.0
Total project cost (EUR): 785325.0
EU funding (EUR): 785325.0
Participants: 5
Project status: SIGNED

The strategic objective of the project is to step up the development of the excellent research in the field of interactive, sensible autonomous robotic systems based on Additive manufacturing and using smart materials based on nanopolymers at the TECHNICKA UNIVERZITA V LIBERCI, Czech Republic (hereinafter referred to as TUL) by creating partnerships with four leading foreign research institutions from France (INSTITUT NATIONAL POLYTECHNIQUE DE TOULOUSE and UNIVERSITE PAUL SABATIER TOULOUSE III), Spain (MONDRAGON GOI ESKOLA POLITEKNIKOA JOSE MARIA ARIZMENDIARRIETA S COOP) and Denmark (AALBORG UNIVERSITET). TUL will significantly enhance the quality and competitiveness of research in this area through staff and student exchanges, expert visits and participation at conferences. The purpose of the mobility of scientists and administrative support staff will be to acquire new knowledge and experience in the given field of research, and also to prepare and implement international scientific projects or contacts at the level of the planned research collaboration with leading research organizations. Business trips will lead to the creation of new project ideas, with the most promising being submitted to international calls. The project will also include the organization of expert seminars, workshops, PhD forums and international conferences. The main focus of these activities will be the intensive transfer of knowledge from leading research centres to the specialist workplaces at TUL.The main benefit of the project will be to bring the quality of research at TUL significantly closer to that of internationally recognized counterparts from the EU, whereby facilitating TUL’s access to funding from European Commission. In terms of personnel capacities, the project will increase the scientific and technical capacities in the institutions involved and will support the professional growth of the staff involved in the project.

Keywords: networking,mobility,excellent research,robotic systems,additive manufacturing,smart materials,nanopolymers,human robot interaction
Paths to Succesful Innovations (ISPAS)

Framework: Horizon 2020 — Science with and for Society
Programme: Make scientific and technological careers attractive to young students, and forster sustainable interaction between schools, research institutions, industry and civil society organisations
Action type: Coordination and support actions
Countries involved: Spain,Italy,Spain,Spain,Bulgaria,Norway
Call: Research innovation needs & skills training in PhD programmes (H2020-SwafS-2020-1, 2020)
Start date: 2021-03-01
End date: 2022-02-28
Duration (months): 12.0
Total project cost (EUR): 299036.25
EU funding (EUR): 299036.25
Participants: 7
Project status: CLOSED

Basing on the collaboration between academic and non-academic partners from Italy, Spain, Bulgaria, and Norway ISPAS’ overall objective is to develop a new joint curricula of PhD courses that will take place in both academic and non-academic surroundings to equip PhD candidates of the STEM Sciences, Medical Sciences, Social Sciences, Arts and Humanities with competences and skills in the areas of open innovation and open science to facilitate their employment after graduation in and outside of academia. The new joint curricula of PhD skills courses will address the recommendation of reinforcing tools, resources and guidance in education, training, employment and other learning settings to support people in managing their lifelong learning pathways. The development of the courses will be organized based on the quadruple helix model of collaboration where consortium’s academic partners collaborate with consortium’s non-academic partners, representatives of industry and public sector, and involve governmental representatives and citizens. Further, ISPAS will include courses for training data stewards. ISPAS' activities will produce an impact on the improvement of the innovation potential of future PhD candidates. ISPAS' activities also aim to produce an impact on the joint collaboration between academia and stakeholders in the regions of Catalonia in Spain, Piemonte in Italy, Rogaland in Norway, and Bulgaria by providing opportunities for improving skills intelligence, skills visibility and comparability for better career choices, learning about future Open Science and entrepreneurship skills needs and employment potential of scientists of the STEM Sciences, Medical Sciences, Social Sciences, Arts and Humanities in various interdisciplinary and intersectoral fields.

Keywords: open innovation,entrepreneurship,open science,fair data,data stewards
Multimedia Communication and Processing over Vehicular Cloud Networks for Autonomous Driving (MACROSS)

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-2016, 2016)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Autonomous driving technologies have recently drawn enormous research attention. It is predicted that autonomous driving will become the most promising form of future Intelligent Transportation Systems (ITS) and will gradually gain market traction in the coming decade. Although several automobile manufacturers have recently demonstrated prototypes, a great number of technical challenges should be addressed in order to reap the full potential of autonomous driving. This project aims to pioneer a framework that leverages innovative multimedia communication and processing technologies for efficient sensor data exchange in order to support autonomous driving application over vehicular cloud networks (VCNs). The project is unique in its ground-breaking integration of two challenging technical aspects over VCNs: multimedia-driven vehicular wireless communications and network-aware adaptive multimedia processing. The interaction and mutual promotion between these two aspects will enable each to design more efficient operational procedure and protocols. The techniques to be developed will fill important gaps in the fundamental understanding of sensing data communication and processing technologies over VCNs, and will also provide the underpinning for system design and algorithm implementation for autonomous driving technologies. To accomplish the scientific objectives of the project, a series of research, training, and knowledge transfer activities will be carried out. The project will enable the fellow to broaden an interdisciplinary research background and greatly improve his career competence. It will lay the foundation for future long-term collaborations between the fellow and the hosting university, leading to greater social and industrial impacts and benefitting both EU and China.

Keywords: vehicular communications,multimedia processing,autonomous driving
Interdisciplinary training network on the purinergic P2X7 receptor to control neuroinflammation and hyperexcitability in brain diseases. (PurinesDX)

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: Life Sciences
Countries involved: Germany,Spain,Spain,Germany,Ireland,Spain,Ireland,Hungary,Belgium,Hungary,Hungary,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-09-01
End date: 2021-08-31
Duration (months): 48.0
Total project cost (EUR): 3487463.28
EU funding (EUR): 3487463.28
Participants: 21
Project status: CLOSED

Brain disorders affect ~179 million people and their families in Europe alone, with an annual cost to the taxpayer estimated at €800 billion- a greater economic burden than cardiovascular disease and cancer combined. Despite diverse etiology, overlap in clinical symptoms and comorbidities between brain disorders suggests shared patho-mechanisms. In particular, hyperexcitible states driven by glial activation and neuroinflammation appear near ubiquitous. Targeting these mechanisms offers the potential to ameliorate symptoms and reverse disease progression across a broad span of brain disorders. Functioning as a gatekeeper to neuroinflammation and mechanistic link between neuronal hyperexcitability and glial activation, the ATP-gated, ionotropic purinergic P2X7 receptor (P2X7R) offers the most promising target for pharmacological intervention in the neuroinflammation-hyperexcitability pathway, to date. With breakthroughs in understanding P2X7R function, highly promising effects demonstrated for antagonists in models of brain disease and vast investment in P2X7R-related drug development programmes, now is the perfect time to pool resources. PurinesDX brings together global leaders in translational research in purinergic signalling, Europe’s leading clinical specialists in a broad range of brain diseases, and industrial partners specializing in drug and biomarker development. Sharing unique genetic tools, newly developed diagnostic devices and novel, selective and brain-stable P2X7R antagonists, the synergism facilitated within PurinesDX will extend to the training of an urgently needed new generation of highly skilled, innovative, creative and entrepreneurial scientists. Alongside the provision of this interdisciplinary, international and intersectoral environment, an original and high level training in state-of-the-art neuroscience will be provided, nurturing a cohort of highly competitive researchers with potential to drive a new era of neuroscience research.

Keywords: brain diseases,inflammation,hyperexcitability,purinergic signaling,atp gated p2x7 receptor,blood biomarkers,biosensors,drug development,pre clinical animal models,clinical testing