Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
DISRUPTIVE EYE TRACKING FOR MOBILE EXPERIENCE OPTIMISATION (EyeTrack)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2015, 2015)
Start date: 2015-09-01
End date: 2016-02-29
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The EyeTrack project develops the first eye-tracking system truly adapted to mobile usages and seamlessly combined with a user-testing environment accessible to every digital team. Measuring visual attention in mobile usage is highly challenging. Optimising user experience of a mobile application during agile development implies testing the app “in the wild”, with real users. It requires methodology to measure observable interaction issues, and adapted technology to detect issues from visual interactions with the digital content (where people look is undetectable by direct observation of users). Mobile user experience is one of the biggest challenges that faces every app launched on the market. However thousands of digital project teams lack reliable tools to optimise their work and reduce testing costs, while hoping to trigger the right consumer behaviors. This market is partially addressed by eye-tracking solutions that are expensive, difficult to use, and offering limited capacity in terms of data analysis. Current systems for mobile devices are either stationary or inaccurate. Matchic Labs develops a new and accurate Eye-Tracking solution for Mobile Usage and Agile Testing, enabling development teams to easily build tests, collect data, and get results. Fast. Meant for field-testing with real users, it is built around an innovative eye-tracking system adapted to mobile usages: ultra light hardware, plus Software as a Service environment that analyses visual behaviors of panels of users. Digital teams will reduce project risk and improve their apps based on easy to understand analysis. The EyeTrack project is aimed at a €1B and fast growing market where ad agencies, user experience professionals, and mobile app developers require cost effective tools adapted to their digital project cycles. Phase 1 will tackle industrial feasibility, technical feasibility of eye-tracking in daylight, customer validation, and the development of a detailed business plan.

Keywords: eye tracking,mobile,agile,agile testing,user testing,usability,user experience,saas,software,as a service,smartphone,tablet,application,optimisation,monitoring,behavioral analysis
The Transformation of Popular Politics in Europe’s Long Nineteenth Century (TRANSPOP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-08-01
End date: 2021-01-31
Duration (months): 66.0
Total project cost (EUR): 1133396.0
EU funding (EUR): 1133396.0
Participants: 1
Project status: CLOSED

How did ordinary people acquire the capacity to mobilize and influence the political decision-making process? How did standard forms of popular collective action emerge and get institutionalized in European modernity? To address these questions, this project explores the transformation of European popular politics in the long nineteenth-century (c. 1789-1914), while also offering a systematic and empirically rigorous causal account of the processes that led to the emergence of the typical forms of social movement activities that dominate the current landscape of popular protest. The project will seek to address two interconnected problems in current scholarship. First, it will enrich our knowledge of the scope and variety of popular politics in the period by focusing on cases (Hungary, Italy, the Netherlands, and Spain) that unlike the “core” cases of Great Britain and France have not been studied exhaustively. Second, it will transcend the limitations of existing treatments that have focused predominantly on class formation and state building as the ultimate determinants of popular politics in the period. Through careful archival research and innovative quantitative techniques, the participants will consider an interrelated set of questions on the proper causal relationship between political scale and political mobilization and on the varied cultural and organizational forms of social movement activity.
NEXt generation Emergency Services (NEXES)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Finland,Slovenia,Romania,Romania,Türkiye,Belgium,Greece,Sweden,France,United Kingdom,United Kingdom,United Kingdom
Call: Communication technologies and interoperability topic 2: Next generation emergency services (H2020-DRS-2014, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 5761083.75
EU funding (EUR): 5760836.0
Participants: 17
Project status: CLOSED

The NEXES Research and Innovation Action aims to research, test and validate the promising integration of IP-based communication technologies and interoperability into the next generation emergency services, so that they attain increased effectiveness and performance. Empowered by smartphones with cameras, messaging and internet-based applications connecting to social media, citizens expect emergency services to use the same technologies. However, this is not the case. NEXES innovates the approach to the dynamics between emergency services and citizens, allowing (i) the use of total conversation capabilities in emergencies, including social media, to the benefit of citizens, including those with disability or special needs (ii) the exploitation of improved location information to rapidly and effectively identify and locate the caller and the incident site and (iii) the leverage of Internet-enabled connectivity to enhance interoperability and shared awareness among emergency services, to the benefit of a more secure society. The NEXES Consortium gathers world-class European entities, well experienced in the research and development of innovative solutions for communications and emergency products and solutions. The NEXES Team presents extensive background knowledge and in-house solutions to adapt, test and validate in NEXES’s open Testing Regime and Validation Framework, ensuring solid results are achieved to produce relevant Recommendations and contributions to Europe’s standardisation effort on emergency services. To leverage related dissemination and market exploitation activities, the NEXES System, Apps and its operational benefits are demonstrated in three realistic pilots to end-users and stakeholders. In fact, end-users’ involvement, directly ensured by NEXES Partners and indirectly by invited Advisors, is a key contributor to guarantee NEXES’s operational validity as a reference implementation system for next generation emergency services.

Keywords: emergency,ng112,112 app,mobile technologies
Making Big Data Small for the Internet of Things (Teraki)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Germany
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-07-01
End date: 2016-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Everything from cars to power plants to farms have connected sensors which measure things like temperature, flow, vibration, speed, and beyond. With 25 billion ‘things’ connected by 2020, the sheer volume, velocity and structure of data from the Internet of Things (IoT) already challenges network capacity. Bottlenecks affect security, data, storage management, servers and the data centre networks. Using groundbreaking sensor data reduction techniques, Teraki software enables users to extract the maximum potential of their IoT applications otherwise constrained by limited battery lifetime and/or prohibitive connectivity costs. We can leverage up to 10 times more data at the sensor level without additional computation resources. Battery life is improved; data transmission and processing latency and storage requirements are reduced. Privacy is strongly enhanced since only partial data is sent. The result is a 90% reduction in IT costs, and 50% less in maintenance costs for connected sensor systems. The most common data reduction solutions for sensor networks are compression techniques. Compression requires high computational resources at the sensor with high impact on battery life. Teraki will render embedded sensor compression techniques obsolete since our solution needs no additional resources and the data selection and further analysis can be done in real time. The goal of this project is to identify the most appropriate IoT market verticals for commercialization and continue market validation activities. We will detail the technical challenges we need to address for widespread adoption of our innovation. We will analyse risks and explore opportunities to enable new business models and become a game-changing force in the IoT sector. Founded in March 2015, we have already raised over 300,000€ in seed funding, and Teraki’s product-market fit is being validated by tier I companies like Audi, Bosch, Intel and Cisco IoT.

Keywords: internet of things,data reduction,aerospace,manufacturing,data storage,new business models
Augmented Reality Assisted Farmer's Intelligence Toolkit (FIT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Portugal
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

By the year 2050, the global population is set to touch 9.6 billion; one major challenge the world is going to face is feeding it’s population. Add to it the many challenges that plague the farming industry such as the change in climatic conditions, extreme weather conditions and impact on the environment, which have to be overcome in order to meet the demand for more food. Farmers deal on a daily basics with huge amounts of data which they have to interpret and act in accordance. The Nexlys Lda’s Augmented Reality Assisted Farmer's Intelligence Toolkit(FIT) is a system designed to support the farmers in their daily operations. FIT aims to take the interaction between the farmers, their plantation fields and the deployed technological resources to a new level. It will deliver intelligence data via an Augmented Reality(AR) display and will allow farmers to interact with operational assets. FIT will provide better, more streamlined crop management; maximize existing investments; reduce operation and management costs; reduce losses; improve profitability and working conditions. FIT’s target customers are all farmers and farmer’s organizations.. The objectives of this feasibility assessment are to define market niches, consumer needs, evaluate relevant legislation and ethical aspects, identify and solve market barriers, determine the FIT’s technical feasibility, as well the economic and social impact of it’s commercialization. Within 5 years, the FIT’s commercialization will create a return on investment of 207%, grow the company sustainability and create the conditions to hire 60+ staff. Most importantly it will contribute as an answer to the European Union(EU)’s sustainable development Goal 2. End hunger, achieve food security and improved nutrition and promote sustainable agriculture.

Keywords: augmented reality,big data,agriculture,farming,blockchain,geographical information systems,visualization,data intelligence,cloud,precision farming
New frontiers in numerical general relativity (NewNGR)

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: United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-09-01
End date: 2021-02-28
Duration (months): 66.0
Total project cost (EUR): 1284525.0
EU funding (EUR): 1284525.0
Participants: 2
Project status: CLOSED

In recent years general relativity (GR) has become an increasingly important new tool in areas of physics beyond its traditional playground in astrophysics. The main motivation for this comes from the AdS/CFT correspondence which conjectures an equivalence between gravity in anti-de Sitter (AdS) spaces and certain conformal field theories (CFT’s). Via this correspondence, GR now plays a key role in improving our understanding of non-gravitational physics at strong coupling. The AdS/CFT correspondence naturally leads to the study of GR in dimensions greater than four and/or in AdS spaces. Our current understanding of GR in these new settings is rather limited but it has been realized that the physics of gravity can be significantly different than in the 4d asymptotically flat case. Moreover, to access these new gravitational phenomena numerical methods have been and will be essential. However, the use of numerical GR beyond the traditional 4d asymptotically flat case is still in its infancy. The goal of this project is to improve our understanding of GR in higher dimensions and/or AdS spaces using numerical techniques. To achieve this goal, we will focus on the study of the following topics: 1. Develop stable codes for doing numerical GR in AdS and higher dimensions. We will use numerical GR and the AdS/CFT correspondence to study out of equilibrium phenomena in strongly coupled CFT’s. We will also use numerical GR to understand the endpoint of the various black hole instabilities and thereby address long standing conjectures in GR. 2. New types of stationary black holes. We will use numerical GR to numerically construct new types of black holes in higher dimensions and in AdS, with novel topologies and fewer symmetries than the known ones. We shall apply them to the study of equilibrium configurations in strongly coupled gauge theories at finite temperature.

Keywords: numerical general relativity,higher dimensions
A Transnational History of Romanian Literature (TRANSHIROL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Romania
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 1450000.0
EU funding (EUR): 1450000.0
Participants: 1
Project status: SIGNED

Demographic trends and the epistemic mutations of the past decades have led to numerous critiques of the nationalist-organicist model of literary history. Furthermore, the ethnic status of the individuals identifying as Romanians has become increasingly complex upon increased migration and the emergence of a new state where they amount to an important share of the total population (Moldova). Consequently, a series of questions are yet to be properly explored and answered: How could and should a transnational history of “national” literatures be written in a post-national age? How can we avoid the methodological protectionism typical of “smaller” cultures against the resurgence of nationalist/populist sentiments? How can we steer clear of narrow nationalism without falling into neoliberal traps and embracing uncritically the theory of free-floating cosmopolitanism? How should a history of Romanian literature look like in the age of globalization? The working hypothesis of TRANSHIROL – and one of its ground-breaking elements – is that a “national” literature should not be regarded mainly as a system (even if it has systemic properties), but rather as a network defined by the transnational communities into which it is integrated depending on its geopolitical situation. Throughout our project, this hypothesis will be operationalized via two sets of innovative instruments: the dichotomy between cultural matrix and cultural model, and a fourfold taxonomy of literary operators (institutional/paradigmatic/connective/imaginary). By combining systematic theorizing with historical scholarship and close reading with distant reading, TRANSHIROL sets out to chart the over five-century-long history of Romanian literature and the progressive evolution of its network toward planetary proportions, since a transnational history of Romanian literature strives to ultimately become a history of world literature written from a Romanian perspective.

Keywords: transnational literary history,romanian literature,cultural matrices,cultural models,literary operators
Big Data for Medical Analytics (BigMedilytics)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Big Data PPP (cPPP)
Countries involved: Austria,Germany,Germany,Germany,Spain,Spain,Ireland,Germany,Israel,Germany,Germany,Germany,Sweden,Finland,Greece,Serbia,France,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Big Data PPP: Large Scale Pilot actions in sectors best benefitting from data-driven innovation (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2021-09-30
Duration (months): 45.0
Total project cost (EUR): 16949408.93
EU funding (EUR): 14997306.25
Participants: 36
Project status: CLOSED

There are three main reasons for an immediate innovation action to apply big data technologies in Healthcare. Firstly, a Healthy nation is a Wealthy nation! An improvement in health leads to economic growth through long-term gains in human and physical capital, which ultimately raises productivity and per capita GDP. Secondly, Healthcare is one of the most expensive sectors, which accounts for 10% of the EU’s GDP continuously becoming more expensive. Thirdly, as healthcare is traditionally very conservative with adopting ICT, while big healthcare data is becoming available, the expected impact of applying big data technologies in Healthcare is enormous. BigMedilytics will transform Europe’s Healthcare sector by using state-of-the-art Big Data technologies to achieve breakthrough productivity in the sector by reducing cost, improving patient outcomes and delivering better access to healthcare facilities simultaneously, covering the entire Healthcare Continuum – from Prevention to Diagnosis, Treatment and Home Care throughout Europe. BigMedilytics produces: • A Big Data Healthcare Analytics Blueprint (defining platforms and components), which enables data integration and innovation spanning all the key players across the Healthcare Data Value Chains • Instantiations of the Blueprint which implement BigMedilytics concepts across 12 large-scale pilots accounting for an estimated 86% of deaths and 77% of the disease burden in Europe • The Best “Big Data technology and Healthcare policy” Practices related to big data technologies, new business models and European and national healthcare data policies and regulations. BigMedilytics will maximize the impact by using its Big Data Healthcare Analytics Blueprint and the Best Practices to scale-up the concepts demonstrated in the 12 pilots, to the whole Healthcare sector in Europe. It will use health records of more than 11 million patients across 8 countries and data from other sectors such as insurance and public sector.

Keywords: big data technologies,healthcare big data value,population health management,oncology,industrialization of healthcare
Novel Spin-Based Building Blocks for Advanced TeraHertz Applications (s-NEBULA)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Sweden,France,France,France,France,Czechia
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 3390876.25
EU funding (EUR): 3390876.25
Participants: 9
Project status: SIGNED

s-NEBULA explores and develops a revolutionary approach to TeraHertz (THz) technology, both for generation and detection of THz radiation, initiating the new field of spin-based TeraHertz (s-THz) technology, a game changer for the future of THz field. The ambition of s-NEBULA is to provide a platform of room-temperature innovative spin-based THz building blocks, arising from novel combinations of magnetism and optics. s-NEBULA will provide cutting-edge solutions to solve bottleneck scientific issues in the THz field motivated by clear needs in judiciously chosen target applications. These include variable-baseline broadband pulsed emitters and voltage-controlled compact detectors for non-destructive testing (NDT), intrinsically-modulated CW emitters for THz communication and polarization-programmable emitters for ellipsometry. We will demonstrate innovative schemes for THz emission using spin-orbit interfaces targeting optically driven s-THz pulsed emitters with bandwidth > 20 THz, with enormous potential for NDT applications. For THz communication, data traffic densities of several Tbps/km2 are predicted for 5G networks, but not a single THz data link beyond2 THz s-NEBULA will develop high-power tunable CW emitters working beyond 5 THz. Besides, we will investigate a disruptive approach combining antiferromagnetic materials with direct voltage rectification effects, targeting a tunable & compact detector, key element for on-chip THz systems of tomorrow. Furthermore, combining THz radiation with magnetism enables an extra lever to control the emitted wave; intrinsic modulation/demodulation becomes possible, as well as polarization control for innovative schemes in ellipsometry. All these approaches are not possible with existing THz technologies. The consortium gathers leading European expertise in significantly diverse areas (optics, magnetism, materials preparation, advanced theory, industrial integration, THz metrology) that will enable multi-disciplinary work.

Keywords: spintronics,ferromagnetism,antiferromagnetism,spin orbit torque,femtosecond laser,ellipsometry,non destructive testing,imaging,spectroscopy,thz communication,ab initio theory