Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Beyond Planck -- delivering state-of-the-art observations of the microwave sky from 30 to 70 GHz for the next decade (BeyondPlanck)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Finland,Greece,Norway
Call: Scientific data exploitation (H2020-COMPET-2017, 2017)
Start date: 2018-03-01
End date: 2020-11-30
Duration (months): 33.0
Total project cost (EUR): 1659795.0
EU funding (EUR): 1499397.5
Participants: 5
Project status: CLOSED

The detection of primordial gravity waves created during the Big Bang ranks among the greatest potential intellectual achievements in modern science. During the last few decades, the instrumental progress necessary to achieve this has been nothing short of breath taking. However, from the latest ultra-sensitive experiments such as BICEP2 and Planck, it is clear that instrumental sensitivity alone will not be sufficient to make a robust detection of gravitational waves. Contamination in the form of astrophysical radiation from the Milky Way, for instance thermal dust and synchrotron radiation, obscures the cosmological signal by orders of magnitude. Even more critically are second-order interactions between this radiation and the instrument characterization itself that lead to a highly non-linear and complicated problem. We propose a ground-breaking solution to this problem that allows for joint estimation of cosmological parameters, astrophysical components, and instrument specifications. The engine of this method is called Gibbs sampling, which we have already applied extremely successfully to basic CMB component separation. The new and critical step is to apply this method to raw time-ordered observations observed directly by the instrument, as opposed to pre-processed frequency maps. While representing a ~100-fold increase in input data volume, this step is unavoidable in order to break through the current foreground-induced systematics floor. We will apply this method to the Planck LFI observations, and deliver a new set of legacy Planck LFI maps that are robust with respect to instrumental systematics and astrophysical foregrounds. We will also combine these data with similar observations from WMAP (23-94 GHz) and C-BASS (5 GHz), to produce the world’s best measurements of polarized synchrotron emission at CMB frequencies. These data products and mehods will play a central role in designing and optimizing future inflationary gravitational wave experiments.

Keywords: cosmology,cosmic microwave background,data analysis,statistical methods
Highly scalable, easily integrated pre-fetching technology that provides instant content while saving on battery, data and bandwidth usage. (OptimalFetch)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Data usage over wireless networks is rapidly increasing as more consumers surf the web, check email and watch video on mobile devices. We do so using apps which content is highly dynamic causing latency issues, increased battery consumption, increased data usage and bandwidth issues in wireless networks. We have created OptimalFetch, a patented pre-fetch-based technology that provides instant content display while being highly efficient in battery, data, and bandwidth. OptimalFetch overcomes these limitations to enable pre-fetch-based solution that can handle fast changing content, thereby decoupling the content delivery from the content consumption. The end-user experience will drastically improve with our technology being of wide interest for our customer as bandwidth savings will enable mobile operators to improve the connectivity of their entire customer base; mobile device manufactures will use our technology to differentiate their products in a very competitive market; and app developers will use the technology to increase retention rate, customer engagement and sales. Our founders leveraged their world-class expertise in machine learning, signal processing, wireless and cellular communications and prediction to take our technology to TRL 6. To take OptimalFetch to the market we still need a further investment of €2.5M which will allow us further improve software development, test and scale it up to serve a large number and wider variety of potential mobile industry customers. The proposed work in Phase 1 of the SME Instrument fits into our overall plan to reach the market by contributing the financial resources needed to plan a fast sound wider deployment of OptimalFetch and its market uptake.

Keywords: m commerce,latency,bandwidth,data usage,battery consumption,fetching,pre fetching,wi fi,dynamic content,content delivery
Overcoming the frontiers of biomolecular studies on human history and adaptation using palaeoproteomics (BACKWARD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Denmark
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 2499276.0
EU funding (EUR): 2499276.0
Participants: 1
Project status: SIGNED

BACKWARD will address major unsettled debates about African and Asian extinct hominid phylogeny, by developing and deploying a new generation of palaeoproteomic workflows, relying on the most advanced mass spectrometry and bioinformatic solutions currently available. Ancient DNA (aDNA) sequencing revolutionised our knowledge on evolution, migration and admixture of archaic and anatomically modern humans. However, no hominid aDNA older than ~0.4 million years has been retrieved yet. Ancient proteins instead survive much longer than aDNA, enabling molecular-based phylogeny beyond the limits of aDNA degradation. Recently, mass spectrometry (MS)-based ancient protein sequencing, i.e. palaeoproteomics, convincingly demonstrated its transformative value, enabling molecular-based evolutionary reconstructions for species that went extinct millions of years ago. BACKWARD will use palaeoproteomics to address: (i) the phylogenetic relationships among South African early hominins, and (ii) the hominid palaeobiodiversity in Southeast Asia; two topics debated for generations, and further complicated by recent finds. This knowledge will also provide the evolutionary scaffolding needed to correctly identify and correlate the series of processes that defined human brain expansion and reorganization. BACKWARD will also screen large sets of morphologically non-informative isolated fossil fragments of bones and teeth, to identify the species and sex of the organism from which they originated. Some of these solutions will be commercially re-purposed to deliver superior performance in public and private analytic laboratories for diagnostics in forensic medicine, and in the food or pharmaceutical industry. As a key BACKWARD feature, the unique contribution provided by each participating institution will be integrated in a strong partnership to transform palaeoanthropology, palaeontology, palaeoecology and archaeology once again, as aDNA did over the last twenty years.

Keywords: early south african hominins,east asian extinct hominids,palaeoproteomics,ancient proteins,mass spectrometry,molecular phylogeny
INNOVENTUALLY, One-stop source for innovation” — A PaaS (Platform as a Service) for the management of Open Innovation Challenges and Needs. (INNOVENTUALLY)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Italy
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Innovation is not an option, and Open Innovation in particular is the main factor to boost and sustain the competitiveness of the modern economy, and ultimately the success of all companies. Innovative organisations usually invest lots of resources (financial, human,and time). Sometimes they cannot find a solution to their problems, and eventually they give up. This is even more dramatically true for SMEs. By 2020, 4.5 billion people will be connected to the Internet; according to Accenture, 97% of companies believe that digital innovation is critical or important to their future performance. The value of supporting services and consulting for open innovation market (OI) was equal to €2.7 billion in 2013, and doubled in the following two years, reaching 5.5 billion Euro in 2015. At present, innovation is happening internally (i.e. completely developed within the company and from the company) or externally (i.e. giving it in outsourcing but strictly limited to supplying products/services, or buying services (as for ICT) as a mere add-on. This shows a clear need for a new way to create, manage and monetize innovation, which means to establish new business models based on an open approach to innovation. Innoventually company tackles this challenge by offering a digital platform that support organisations and individuals seeking for technologies and monetizing their ideas. We create communities of innovators, companies and researchers, for connecting the dots, creating new collaborative networks for matching innovation’s demands and needs. Innoventually is a one-stop source for innovation-related services for all those organisations that need to innovate (mSMEs, startups, etc.), making open innovation affordable and easy. We facilitate the solution of problems mostly related to R&D needs from SMEs while significantly reducing the cost for exploring new business opportunities.

Keywords: open innovation,paas,platform as a service,marketplace,ip brokerage,knonwledge transfer,protection,auctions
EuroNanoForum 2015 (ENF2015)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced manufacturing and processing
Action type: Coordination and support actions
Countries involved: Finland,Latvia
Call: Presidency events (H2020-NMP-CSA-2014, 2014)
Start date: 2014-07-01
End date: 2015-09-30
Duration (months): 15.0
Total project cost (EUR): 821675.0
EU funding (EUR): 599925.0
Participants: 2
Project status: CLOSED

This proposal is about organising the 2015 EuroNanoForum conference (ENF 2015) in Riga as part of the Latvian presidency of the European Union. The conference will focus in nano and materials technologies, strengthening European competitiveness and supporting the renewal and recovery from the economic crisis. The event will review the 2015 status of European nanotechnology, including the latest progress in nanoscience, innovations and business. The most relevant application fields and enabling technologies will be reviewed. In addition, the different aspects impacting European competitiveness will be covered, including smart specialisation, public-private partnerships, local support and Horizon 2020. In addition, the framework conditions like education, standardisation, regulations, IPR and safety issues, as well as issues related to entrepreneur- and industry-friendly decision making are included. The conference will also build on agendas of the previous conferences such as commercialisation and start-ups. The conference will be organised on 10-12.6.2015. The conference will feature plenary sessions, presentations, workshops, poster sessions and a brokerage event. In addition, specific evening program for the speakers and delegates will be organised in order to give opportunities for networking during the conference days. The NanoTechEurope exhibition will complement the event as separate but parallel activity, showcasing various organisations and activities related to nanotechnology. The event will include also the best project, the best poster and the best exhibition stand competitions. The European nanotechnology community, including the technology platforms and industrial associations, will be integrated in planning the content. A range of communications activities will assure extensive dissemination and wide participation in the event. The national outreach activities will activate the local nanotechnology community in Latvia and the Baltic States.

Keywords: nanotechnology,networking
Capture and Rendering of Volumetric High Dynamic Range Video (V-HDR-V)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: CLOSED

Markets for Immersive Visual Technologies (IVT) such as Virtual Reality and Augmented Reality have been growing fast in recent years. Most of the current applications are based on computer-generated content, e.g. computer games. However, there has been a substantial interest in adding real-world live content to IVT. Volumetric imaging technologies produce 3D volume renderings from 2D images and allow to synthesize arbitrary viewing positions which is a required component for the immersive visualization of real-world scenes. Current volumetric imaging technologies are limited in terms of spatial and temporal resolution as well as dynamic range of reproducible colours. This is due to deficient sensors and lack of powerful algorithms and computing platforms which hinder the targeted level of immersion. The aim of V-HDR-V project is to overcome these limitations by making two key innovations: First, the project proposes new volumetric HDR video capture. Second, computational models of the Human Visual System (HVS) will be used to assess and guide the entire pipeline from active multi-modal sensor combination and placement over processing in terms of light field to reproduction on emerging devices such as Light Field and Head Mounted Displays. The efficiency of the entire system will be achieved by means of new parallel visual computing algorithms and its effectiveness will be validated in extensive user studies. By setting ambitious research goals, V-HDR-V project leverages the technical skills of the ER, provides him with new skills, enhances his competencies and contributes to his career development. The project has the potential to deliver valuable solutions to the Europe’s high-tech industries in the emerging field of IVT.

Keywords: perceptually driven modelling,high fidelity representation,volumetric imaging,immersive visual technologies
ERNCIP thematic group activities in 2016 supporting development of Mandate 487 for standards in security (ERNCIP CBRNE STDS 16)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Coordination and support actions
Countries involved: Belgium
Call: SECURITY (H2020-Adhoc-2014-20, 2015)
Start date: 2016-01-01
End date: 2016-12-31
Duration (months): 12.0
Total project cost (EUR): 250000.0
EU funding (EUR): 250000.0
Participants: 1
Project status: CLOSED

The European Reference Network for Critical Infrastructure Protection (ERNCIP) has the mission to foster the emergence of innovative, qualified, efficient and competitive security solutions, through the networking of European experimental capabilities. Since 2012, ERNCIP has developed and shared a good understanding of technologies responding to CBRN-E threats. ERNCIP groups have produced many reports that underpin that understanding and are now developing technical recommendations and good practice for infrastructure operators who wish to deploy technologies against such threats. This proposal will enable ERNCIP to focus its efforts on preparing concrete recommendations, pre-norms or workshop agreements, in the thematic areas of RN threat detection and analysis; the detection of chemical or biological agents in drinking water; testing the resistance of building glazing materials to explosive effects; and detection of explosives and weapons at secure locations. JRC is the facilitator of this network which comprises around 200 experts from 120 European organisations. It sets up the groups, facilitates their work and ensures that they address the issues most relevant to the policy makers. It also ensures that the work of the groups receive world-wide visibility.

Keywords: security,detection,cbrn e,standardisation,infrastructure,protection,radiological,chemical,biological,nuclear,explosives,weapons
Dawex Data Marketplace deployment: unlocking European companies’ data value (Dawex GDM)

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: 2018-11-01
End date: 2020-10-31
Duration (months): 24.0
Total project cost (EUR): 3513340.0
EU funding (EUR): 2459338.0
Participants: 1
Project status: CLOSED

Companies, regardless of their size and their activities, are increasingly generating data. They use it to run their business but they also acquire data externally - whether publicly available data or data coming directly from other companies - as internal data generally do not suffice. Businesses increasingly realize that they can also generate new revenue by selling their own data to interested third parties. The European Commission has recognized the data market as the future of the global economy, as part of its flagship policy for the Digital Single MaCurrently, more and more data is generated by companies, regardless of their size and their activities. Businesses can buy this data, but also have the potential to generate revenue by selling their own data to other third parties. The European Commission has recognized the digital market as the future of the global economy, as part of its flagship policy for the Digital Single Market. However, at present, there is no comprehensive platform dedicated to data transactions, adapted to all types of data and all types of businesses. Dawex is the first global data marketplace where companies from all industries can meet, buy and sell data directly and securely. Acting as a trusted third party, Dawex does not buy nor sell data itself and companies retain full control over the transactions they conduct on the marketplace. With more than 3,600 companies from 20+ business sectors, we are facilitating cross border data flow and making data exchange accessible and secure for all economic stakeholders. During the 2 years of this project, Dawex will deploy a Europe-wide, cross-border data marketplace, compliant with EU laws and regulations and respecting the highest security standards, which will unlock the potential of data and enable European companies to create value through data exchange. Dawex will create a new, innovative market, and contribute to the EU’s goal of “making the EU’s single market fit for the digital age

Keywords: data economy,free movement of data,data market,data marketplace,data exchange,data sharing,gdpr,compliance,data value,data driven companies,privacy,security,data infrastructure
Best Curved Adapted Meshes for Space-Time Flow Simulations (Tesseract)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Spain
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2022-09-30
Duration (months): 66.0
Total project cost (EUR): 1478135.0
EU funding (EUR): 1478135.0
Participants: 1
Project status: CLOSED

The accuracy obtained in wind tunnel aerodynamic and aero-acoustic measurements is extremely demanding and it still challenges our current simulation technologies. It mainly challenges the capabilities of current mesh generation technologies used in flow simulations. The ground-breaking TESSERACT project addresses the challenge of studying how to generate computational meshes that enable the ability to obtain computer flow simulations that beat the predictive capabilities of the wind tunnel experiments for a fixed accuracy, cost, and time scale. These important challenges correspond to capabilities that have been considered essential to fulfil the European strategic goals of future transportation. The main objective is to generate optimal quality curved adapted meshes for space-time flow simulations by addressing the following ambitious and beyond the state of the art 4-dimensional meshing research objectives: curved geometry representation and approximation, mesh quality measures, adapted mesh resolution, and space-time flow simulation. This is a high risk project since it tackles meshing objectives in 4D while lower dimension versions of these issues have not yet been fully solved. However, providing the foundations and the methods to improve current space-time meshing algorithms will suppose a high gain in the field of computational and aerospace engineering. This is so since in the near future, it will be of major importance to conduct accurate, robust, and efficient parallel in space-time adapted flow simulations that exploit the computational power of the exascale super-computing facilities to come. To enhance the feasibility of the project, the scientific approach considers different novel approaches to reach the same objectives and therefore, bear in mind the high-risk / high-gain nature of this 4D meshing project.

Keywords: computational fluid dynamics,mesh generation,unstructured high order methods,curved meshing,mesh quality measures,anisotropic meshing,hybridizable discontinuous galerkin method