Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Monetizing car & mobility data for new Entrants, Technologies and Actors (5GMETA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Italy,Spain,Italy,Italy,Italy,Spain,Belgium,France,France,France
Call: 5G PPP – 5G core technologies innovation (H2020-ICT-2020-1, 2020)
Start date: 2020-09-01
End date: 2024-02-29
Duration (months): 42.0
Total project cost (EUR): 5681345.0
EU funding (EUR): 4667765.0
Participants: 13
Project status: SIGNED

Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers’ activities. With greater proliferation of connected and automated mobility applications, the value of data from vehicles is getting strategic not just for the automotive industry but in a wider scope, and not limited to the onboard systems and services. 5GMETA open platform aims to leverage car-captured data to stimulate, facilitate and feed with them innovative products and services. The result of 5GMETA will empower the automotive ecosystem from industry players to new entrants, such as SMEs and high-tech start-ups granting access to interoperable car-captured data according to data licenses. The access to data coming from relevant geographical regions will catalyse the generation of new opportunities and business models coming from valuable services, where data liability and billing will rely on accountability dashboard of dataflow subscription and volume consumption. 5GMETA expands 5G network functions to enable data monetization with a secure and private pipeline that manages data computing, dataflows according to service subscriptions and geographic queries. 5GMETA will realise representative demonstrators in terms of data heterogeneity, value creation and business models to ensure that third parties and new players’ interests and requirements are considered beyond traditional automotive industries. 5GMETA will focus on technology transfer activities performing different dissemination, tutorials and hackathons to incubators and clusters to capture attention of SMEs and high-tech start-ups with a platform leading to new opportunities in an incoming profitable market.

Keywords: car data monetization,cam value chain newcomers,car data pipeline,mec services,data license,data interoperability,geo based query,accountability dashboard
Smart system of renewable energy storage based on INtegrated EVs and bAtteries to empower mobile, Distributed and centralised Energy storage in the distribution grid (INVADE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Innovation actions
Countries involved: Spain,Germany,Germany,Norway,Norway,Norway,Bulgaria,Finland,Norway,France,Netherlands,Netherlands,Netherlands
Call: Demonstration of smart grid, storage and system integration technologies with increasing share of renewables: distribution system (H2020-LCE-2016-SGS, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 16305987.5
EU funding (EUR): 13273626.88
Participants: 21
Project status: CLOSED

An inspiration for INVADE are the world-wide agreements on minimisation of human caused effects to climate change and energy efficiency targets set at the European Union with ambitious goals for reduction of greenhouse gas emission and for increase of renewable energy share. To enable a higher share of renewable energy sources to the smart grid and gain a traction in the market place a few critical barriers must be overcome. There is a deficiency of 1) flexibility and battery management systems 2) exploration of ICT solutions based on active end user participation 3) efficient integration of energy storage and transport sector (EVs), 4) novel business models supporting an increasing number of different actors in the grid. INVADE addresses these challenges by proposing to deliver a Cloud based flexibility management system integrated with EVs and batteries empowering energy storage at mobile, distributed and centralised levels to increase renewables share in the smart distribution grid. The project integrates different components: flexibility management system, energy storage technologies, electric vehicles and novel business models. It underpins these components with advanced ICT cloud based technologies to deliver the INVADE platform. The project will integrate the platform with existing infrastructure and systems at pilot sites in Bulgaria, Germany, Spain, Norway and the Netherlands and validate it through mobile, distributed and centralised use cases in the distribution grid in large scale demonstrations. Novel business models and extensive exploitation activities will be able to tread the fine line between maximizing profits for a full chain of stakeholders and optimizing social welfare while contributing to the standardization and regulation policies for the European energy market. A meaningful integration of the transport sector is represented by Norway and the Netherlands pilots – with the highest penetration of EVs worldwide.

Keywords: flexibility cloud,internet of energy things,visualization,user behavior,electric vehicles,business models
Quantum materials under extreme conditions (ExtremeQuantum)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 1840513.0
EU funding (EUR): 1840513.0
Participants: 1
Project status: CLOSED

New states of matter offer an unparalleled testing ground for studying fundamental physics, particularly interacting quantum systems. The EXTREMEQUANTUM project will significantly advance our knowledge of these states by using extreme conditions of magnetic field and pressure to enable a continuous, clean and reversible tuning of quantum interactions, thereby shedding light on the building blocks of exotic magnetism and unconventional superconductivity. By developing the materials and methodology to achieve this, we will push our understanding of quantum systems beyond current limitations and open a route for exploiting the untapped potential of these materials to underpin future technology in fields as diverse as electrical power networks, quantum computation and healthcare. EXTREMEQUANTUM takes as its starting point recent theoretical and experimental discoveries in the area of quantum materials and will capitalize on a novel measurement technique developed in my research group over the past few years. By utilizing both atomic and molecular substitution, the project will focus on a series of materials that are on the verge of a phase instability. Ultra-high fields and applied pressure will push these systems through the critical region where the state of matter changes and inherently quantum effects dominate. Electronic, magnetic and structural properties will be measured as the tipping point is breached and the resulting data compared with predictions of theoretical models. The results will provide answers to questions of deep concern to modern physics, such how quantum fluctuations, topology and disorder can be used to create states of matter with novel and functional properties.

Keywords: functional properties of materials,molecular materials,high magnetic fields,extreme conditions,symmetry and topology in condensed matter physics,low dimensional magnetism
Technology harvest & transfer for an Open Internet initiative (TETRA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Countries involved: Italy,Estonia,Lithuania,Belgium,Greece,Slovakia,Slovakia,Luxembourg,Portugal
Call: Next Generation Internet - An Open Internet Initiative (H2020-ICT-2018-2, 2018)
Start date: 2019-05-01
End date: 2022-06-30
Duration (months): 38.0
Total project cost (EUR): 1999443.75
EU funding (EUR): 1999443.75
Participants: 9
Project status: SIGNED

The objective of the TETRA project is to develop and implement a series of business-support activities targeted at 'R&I Actions' and their third parties funded under the topic H2020-ICT-24-2018-2019 to help turn their research results into marketable products and services and prepare them for success in the market place. The operational objectives are: 1. To identify and engage relevant R&I Actions' and their third parties funded under open internet initiative (WP2) by o Creating and pitching the TETRA value proposition to them o Identifying their market potential, as well as challenges and barriers o Conducting individual analysis and proposing targeted grow programmes o Creating a dedicated pool of mentors o Creating a dedicated supporting package 2. To assist these projects in acquiring the competences needed to bring their innovation to the market exploitation of social innovations (WP3) through a capacity building programme, addressing: o IP advisory, training and linkage to national IP programmes o Managerial and entrepreneurial skills o Soft skills (design thinking, collaboration, team management, etc.) o NGI culture and proposition o Usability, acceptability and integration elements o Tech-transfer services to digital innovation hubs (DIHs) o Training on new markets, sales and marketing model models 3. To develop vital ecosystem enabling these projects in scaling their activities (WP4) through: o Investment readiness o Brokering industry relations consisting of: o Mentoring and coaching including o Facilitating access to Public Contracts 4. To assess the impacts of the supporting activities provided and their contribution towards the accomplishment of NGI-Open Internet’s objectives (WP5)

Keywords: technology transfer,investment opportunities,industry relations,ipr transfers,mentoring,coaching,impact assessment
An ICT decision support system for clinical interpretation of genomic data, used by geneticists to rapidly and accurately pinpoint unique disease-causing variants (Emedgene)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Israel
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-04-30
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

With the increasing volume of genetic sequences, bioinformatics methods, data about variants and mutations, and research publications, clinical interpretation remains a complex and labour-intensive task. As a result, clinical interpretation became the costly piece of genetic testing, limiting scale, keeping turnaround time high, and driving up costs of a test. Moreover, after the geneticist’s work is done, clinicians still remain with partial, insufficient information to base their clinical decisions on. Emedgene have developed an ICT platform for clinical interpretation of genomic data. The platform continuously scans all public resources and databases available, retrieves information from written publications using Natural Language Processing, and intelligently integrates the data into unified ontologies. It is the first artificial intelligence platform, modelled on the behaviour of sophisticated genomic interpreters, to automatically pinpoint the unique disease-causing variants and deliver results with solid evidence and reasoning, providing a clear path to clinical decisions. Within the overall project, Emedgene plan to optimise the platforms interpretations capabilities, demonstrate and validate it in clinical environments, and fully establish the European commercialisation strategy.

Keywords: data interpretation,decision support system,genomic data,new business opportunities
Signaling Cascades in Metabolic Diseases (SiCMetabol)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany,Poland
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-06-01
End date: 2021-11-30
Duration (months): 66.0
Total project cost (EUR): 1499128.0
EU funding (EUR): 457181.96
Participants: 2
Project status: CLOSED

Over 380 million people suffer from diabetes worldwide, with majority of cases being attributed to type 2 diabetes (T2D). Obesity is a major risk factor predisposing to the development of this disease. T2D is characterized by peripheral insulin resistance in combination with relative insulin deficiency that results in hyperglycemia and hyperlipidemia. Liver and adipose tissue are central for regulation of glucose and lipids levels. However, during T2D the hepatic glucose uptake is reduced while rates of gluconeogenesis and lipogenesis are increased. In the adipose tissue, T2D leads to decreased glucose uptake, perturbations in secretion of adipokines and increased lipolysis. Importantly, dysfunction of the liver and the adipose tissue during T2D is caused by defective phosphorylation signaling cascades and normalization of these pathways was shown to attenuate the course of T2D. However, the specific roles of different classes of signaling molecules in these organs remain poorly characterized. We hypothesize that the cross-talk of different classes of signaling molecules determines regulation of metabolism. Thus, we aim to identify the signaling networks regulating metabolism. The results generated in my own laboratory suggest that the Pkd family kinases are the crucial regulators of metabolic homeostasis. Specifically, Pkd1 and Pkd2 promote obesity and diabetes while Pkd3 controls liver function. Thus, we plan to characterize the molecular mechanisms controlling Pkds signaling. In parallel, we will utilize screening approaches to identify novel, non-canonical signaling modules (phosphatases and components of the ubiquitin system) regulating abundance, localization and phosphorylation of targets of Pkds and, in the long term, also other kinases implicated in T2D. By identifying and characterizing the essential signaling networks in liver and adipose tissue the project will contribute to more targeted pharmacological strategies for the treatment of T2D.
A novel chemical discovery platform enabled by machine learning (DISCOVERER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Luxembourg
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-09-01
End date: 2023-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Computational design and discovery of molecules and materials relies on the exploration of increasingly growing chemical spaces. The discovery and formulation of new drugs, antivirals, antibiotics, catalysts, battery materials, and in general chemicals with tailored properties, require a fundamental paradigm shift to search in unchartered swaths of the vast chemical space. This is in stark contrast to current approaches, which start from (commercially available) libraries of compounds from various suppliers. Within the ERC Consolidator grant BeStMo (grant agreement ID 725291) we aimed to substantially advance our ability to model and understand the behaviour of molecules in complex environments. As a result, we successfully developed a set of machine learning and physics-based methods for covalent and non-covalent interactions that now allow an accurate and efficient modelling of molecules of increasing size (from 10 to 1000 atoms). These methods now enable routine calculations of quantum-mechanical properties of molecules throughout chemical compound space, provided that enough reference data is produced as a starting point for training. Within DISCOVERER, we aim to promote a paradigm shift in chemical discovery by inverting the selection pyramid by starting with pre-defined parameters from which new chemical entities are designed through machine learning and AI-enabled algorithms. We can do so by integrating these modules into a commercial platform: “Chemical Space Machine”. DISCOVERER’s main goal is to finalize the development of a commercial alpha version of “Chemical Space Machine” and setting up its commercialisation strategy.

Keywords: chemical space,chemoinformatics,machine learning,new chemical entities
Masculinities, Youth and Violence in the Moroccan Underclass: Young Men and Their Future Selves. (MoroccoMasculinities)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-05-01
End date: 2019-10-24
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Male juvenile delinquency as represented by self-styled tcharmils has been the focus of a moral panic in Morocco over the last years. The tcharmil subculture has gained visibility through a social-media propagated aesthetic that turns the stigma of social disqualification into a source of pride by extolling assertive masculinity, violence, and the transgression of social and religious norms. By adopting consumerist values that overlap with those of more privileged classes, and by frequenting the latter’s urban spaces of leisure, the tcharmil blur social boundaries. The resulting anxieties among the privileged has resulted in public campaigns and police crackdown. MoroccoMasculinities examines the construction of the masculinities of disadvantaged young men in order to understand how gender, class, space and ethnicity intersect in juvenile moral and cultural formations in today’s Morocco. On the one hand, studying the tcharmil subculture reveals how juvenile subjectivities are reshaped by the combined effect of urbanisation, the new media, and state policies interlinked with global systems of regulation such as neo-liberal reforms, restrictions on migratory movements, and the intensification of the struggle against the hashish economy. On the other hand, the study of state reactions to the same subculture allows to highlight changing patterns of criminalisation: the unprecedented emphasis on male delinquency possibly reflects a strategy of discursive de-politicisation of the threats to an established order faced with the challenges of the Arab Spring and its aftermaths.

Keywords: morocco,youth,masculinities,gender relations,subculture,criminalisation,police work,social class,social change,disqualification,school,norms,middle east and north africa
REsummation-Improved moNtecarlo eVEnt geNeraTor (REINVENT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Italy,Switzerland
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-11-01
End date: 2023-10-31
Duration (months): 72.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 2
Project status: SIGNED

With the start of the second run of the Large Hadron Collider and the discovery of a particle compatible with the Standard Model Higgs boson, the high-energy particle physics community faces the task to carry out precise measurements of the properties of this new particle, in order to establish its nature. At the same time, it will be equally important to keep looking for the yet elusive signs of New Physics. Both tasks rely on the ability to accurately predict the expected signals and to disentangle them from the known backgrounds. At hadronic colliders like the LHC, accurate modeling of the strong interactions is crucial to interpret the experimental outcomes. The goal of this project is to push forward the frontier of precision QCD for event simulations. The key idea is to combine the three possible theoretical description (fixed-order perturbative expansion, resummed calculations and parton showers) into the same theoretical framework, in order to benefit from the advantages of each. The innovative approach proposed here improves over past efforts thanks to the inclusion of higher-logarithmic resummation, which bridges the gap between the perturbative description of hard radiation and the shower domain. This brings together three important advantages: the ability to use the best theoretical description in each region, the sizable reduction of the theoretical uncertainties gained by replacing the shower evolution with the higher-logarithmic resummation, and the ability to produce hadron-level events that can be directly interfaced to detector simulations. By going beyond the state-of-the-art, REINVENT will obtain the most precise theoretical predictions for the LHC in an event generator form that allows for direct comparison to data, producing tools that will be used by both experimentalists and theorists. The technology developed for this project will also have important applications for precision studies at future lepton colliders.

Keywords: monte carlo simulations,resummation,higher order qcd corrections