Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Bathymetry Service Platform (BASE-platform)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Innovation actions
Countries involved: Germany,Spain,Germany,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Bringing EO applications to the market (H2020-EO-2015, 2015)
Start date: 2015-12-01
End date: 2017-11-30
Duration (months): 24.0
Total project cost (EUR): 2222394.95
EU funding (EUR): 1781326.25
Participants: 7
Project status: CLOSED

BASE-platform provides an innovative service for satellite derived bathymetric data for a broad range of users through a commercial service platform. Bathymetry is the measure of the water depth similar to underwater topography. BASE-platform has the ambition to establish a commercial service platform for bathymetric data, which is sharpened to user needs and provides most easy access. Its impact is expected to significantly influence the current market, its survey methodologies and the way bathymetric data can be accessed and used. Up-to date bathymetric data are essential for multiple purposes such as navigation, port and offshore construction, security, coastal zone management, fishery, cruising and tourism and required accordingly by various user groups. Conventional survey methods are either ship or airplane based and costly and time consuming. For these reasons, extended areas of shallow and deep water areas in Europe and worldwide are not mapped within an adequate accuracy or existing data are out of date. Earth Observation data, especially the Copernicus mission will play a key role to overcome this lack of data. BASE-platform focuses on Satellite Derived Bathymetry (SDB) as an innovative, rapid and cost effective approach to determine bathymetry from space. SDB in combination with hydrodynamic models to minimize tidal effects and crowd sourced bathymetric for validation purposes will provide those data. The BASE-platform service will be accessible through a commercial platform, which includes relevant components for a sustainable and client focused business. The services will be demonstrated, validated and improved in use cases. Relevant key players are involved for this purpose. The economic benefits of this new EO service will be analysed in a business analysis and model. Finally several dissemination actions will race awareness and increase the potential client group.

Keywords: bathymetry,coastal zone management,offshore,geobasis data,crowd sourced bathymetry,satellite derived bathymetry,hydrodynamic model,sentinels,service platform
Freshness and expiration date measurement (Waste reduction)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

20% of all meat and 35% of all fish produced is wasted, and being the most resource consuming food to produce, a reduction of this type of waste will have significant environmental impact. In the EU the yearly meat and fish waste corresponds to a CO2-equivalent emission of 193 mio tonnes and has a value of 41 bil €. By reducing the amount of wasted meat and fish due to incorrect or overcautious shelf-life estimates, for which the effect is transmitted through the value chain, the EU CO2e emission could be reduced by 80 mio tonnes and save the industry 4,75 mio tonnes equal to 17 bil €. AmiNIC is a Danish SME, developing and commercializing a handheld patented sensor-technology for determination of freshness and prediction of shelf-life for meat and fish. The device could be considered an intelligent nose, 1000 times more sensitive than the human nose, and from database values, forecast the precise and correct expiration date. The nozzle of the handheld device, in hygienic design, is pressed against the surface of the meat or fish and measures, within seconds, the concentration of degradation molecules in the meat and thereby the freshness. Prediction of expiration date is accomplished by forecast curves for the development of that particular piece of meat or fish. In contrast to the human senses this device gives a measurable value for freshness and is able to predict expiration dates. In comparison to 48 hours microbiological analysis, which can also determine freshness, use of our device does not require trained personal, it is cheap and can be used on-location and gives result immediately, including prediction of shelf-life. The device is initially targeted at the intermediate part of the value chain of meat and fish; processing, distribution, mongers, supermarkets, restaurants and cantinas. In EU these amounts to at least 1,7 mio customers and globally 7,4 mio. We have validated a 40% market share and a price that these customers are willing to pay 670€.

Keywords: waste reduction,resource optimization,sensor technology
Integrated method for treating a wide range of industrial waste waters based on magnetic settling and catalytic oxidation (MAYIM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Israel
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2015, 2015)
Start date: 2015-11-01
End date: 2016-02-29
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

MAYIM will develop to industrial production stage a wastewater treatment integrated technology for industrial factories able to remove total suspended solids, and dissolved organic and inorganic substances simultaneously in one single treatment with two consecutive steps: magnetic settling and catalytic oxidation. The applying Companies, AMTR Scientific Ltd. (coordinator) and EDAL Engineering Ltd., are both experienced Israeli SMEs providing R&D technological solutions, equipment and machinery for different manufacturing industries, including new methods for wastewater management. The main advantages of MAYIM in comparison with current solutions (which address only one of the two removal stages of the proposed technology), are the following: 1 Extremely low energy consumption (1kWh/m3 instead of the 3-5 kWh/m3 consumed by current technologies). 2 Very high removal efficiency (99% for magnetic settling and 96-99% for catalytic oxidation). 3 Hydrophobic sludge with very low moisture content (75%), allowing strong savings since centrifugal decantation and filter press is not required. 4 Flexibility: cross-sectorial approach covering a wide variety of industries and factory sizes. 5 Standalone and self-sustained equipment operating at room temperature through a fully automated process. AMTR and EDAL have been working together for the last 8 years in the development of MAYIM (AMTR is already Proprietary of the composite catalyst used in the second stage of the treatment). Prototype plants have been successfully operating in 8 factories belonging to 4 different sectors, but there are still improvements to be done for upscaling the technology to industrial flow rates (≥ 2000 m3/day). MAYIM will allow 20-40% savings in wastewater treatment to the industrial factories and will have a very strong economic impact on the revenue of both applying companies, which will rise their cumulative profit in €15 M and their employees in 10 (AMTR) and 15 people (EDAL).

Keywords: wastewater,water pollutants,magnetic settling,catalytic oxidation,efficiency,dissolved inorganic particles,suspended solids,integrated technology
Social Media, Political Participation, and Accountability (SocialMedia)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Spain
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2016-01-01
End date: 2021-06-30
Duration (months): 66.0
Total project cost (EUR): 1170625.0
EU funding (EUR): 1170625.0
Participants: 1
Project status: CLOSED

The goal of the project is to examine how advances in information technologies affect public policies. In particular, it will empirically investigate the causal effect of social media on political participation. The first part of the project will examine the effect of social media penetration on participation in political protest activities, as well as the mechanisms that drive these effects, using a specific example of protests activities in Russia in 2011-2012. We will exploit idiosyncratic variation in the early penetration of social media across cities to identify causal effect of social media penetration on participation in protest activities. We will also exploit the effects of early penetration on the distribution of users across competing online social networks to examine the role of coordination as a specific mechanism behind the effect. The second part of the project will use content analysis of the messages in social media and detailed information on the network structure and its evolution over time to study (1) the effect of network structure on the diffusion of information and subsequent actions; (2) the effect of offline events on network formation. Exogenous shock in the form of unexpected wave of protest activities will be used to identify the effects of interest. Smaller parts of the project will use survey experiments and cross-country comparison of the content of traditional and social media to provide additional evidence on the mechanisms behind the effects of social media. The project will be mainly empirical, but it will rely heavily on the theoretical advances in the fields of political economy and network analysis.

Keywords: economics of mass media
Running away and radiating (PLASMA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Sweden
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-10-01
End date: 2020-09-30
Duration (months): 60.0
Total project cost (EUR): 1948750.0
EU funding (EUR): 1948750.0
Participants: 1
Project status: CLOSED

Particle acceleration and radiation in plasmas has a wide variety of applications, ranging from cancer therapy and lightning initiation, to the improved design of fusion devices for large scale energy production. The goal of this project is to build a flexible ensemble of theoretical and numerical models that describes the acceleration processes and the resulting fast particle dynamics in two focus areas: magnetic fusion plasmas and laser-produced plasmas. This interdisciplinary approach is a new way of studying charged particle acceleration. It will lead to a deeper understanding of the complex interactions that characterise fast particle behaviour in plasmas. Plasmas are complex systems, with many kinds of interacting electromagnetic (EM) waves and charged particles. For such a system it is infeasible to build one model which captures both the small scale physics and the large scale phenomena. Therefore we aim to develop several complementary models, in one common framework, and make sure they agree in overlapping regions. The common framework will be built layer-by-layer, using models derived from first principles in a systematic way, with theory closely linked to numerics and validated by experimental observations. The key object of study is the evolution of the velocity-space particle distribution in time and space. The main challenge is the strong coupling between the distribution and the EM-field, which requires models with self-consistent coupling of Maxwell’s equations and kinetic equations. For the latter we will use Vlasov-Fokker-Planck solvers extended with advanced collision operators. Interesting aspects include non-Maxwellian distributions, instabilities, shock-wave formation and avalanches. The resulting theoretical framework and the corresponding code-suite will be a novel instrument for advanced studies of charged particle acceleration. Due to the generality of our approach, the applicability will reach far beyond the two focus areas.

Keywords: charged particle acceleration,runaway,radiation,magnetic fusion,laser plasma interaction
EUROPEAN MEDIA PLATFORMS: ASSESSING POSITIVE AND NEGATIVE EXTERNALITIES FOR EUROPEAN CULTURE (EUMEPLAT)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Germany,Italy,Italy,Türkiye,Belgium,Bulgaria,Greece,Sweden,Czechia,Portugal
Call: Evolving European media landscapes and Europeanisation (H2020-SC6-TRANSFORMATIONS-2020, 2020)
Start date: 2021-03-01
End date: 2024-02-29
Duration (months): 36.0
Total project cost (EUR): 3023025.0
EU funding (EUR): 3023025.0
Participants: 12
Project status: SIGNED

The EUMEPLAT project aims at analyzing the role of media platforms in fostering or dismantling European identity. The assumption we will draw on is that European dimension has rarely been dominant in media history. In most cases – i.e., movie – market shares are mainly divided among national productions and importations from the most influential country. In broadcasting both regional and national patterns emerge, with properly European exchanges being the exception more than the rule. Web platforms are usually owned by US companies, with a new threat appearing in our media landscape. We will focus on the “platformization” process, as the rise of new closed Web architectures, so as to inquire its positive and negative externalities, functional and dis-functional consequences. Positive externalities are beneficial to society at large, in a way that explains the overall ambition of the project. Detecting the insurgence of negative effects is a fundamental duty for scholars and policy-makers, as externalities of both kinds tend to reinforce themselves, giving rise to positive loop feedbacks and critical vicious circles. Negative externalities include misinformation, toxic debate, exclusion of independent voices; positive externalities encompass European co-productions, or practices able to bring people out of the information bubble. For this purpose, we will run a multidisciplinary analysis of platformization in three fields: news, video sharing, media representations, with the final goal to offer a theoretical synthesis. The research question is whether or not new platforms – YouTube, Netflix, NewsFeed - are making European culture more European, based on indicators related to production, consumption and representation. Patterns will be detected by comparing national, regional and European and level. Advanced methods will be applied for data analysis, so as to provide guidelines for decision-makers (i.e., fake news prevention; best practices in co-productions).

Keywords: europeanisation,media platformization,cultural industries,digital media,fake news,migration studies,media representations,media systems,media market regulation,european culture and identity
Noble Metal Loaded Oxygen-deficient Mesoporous Tungsten Trioxide for Green Catalysis under Solar Light (NOMTGCS)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-03-05
End date: 2021-07-05
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

With the increasingly serious energy and environmental problems caused by the combustion of fossil fuels, the development of efficient solar light driven photocatalysts for green chemical synthesis is an urgent task at present. In this project, the synthesis and solar light driven green catalytic applications of noble metal (Au, Pd, or Au-Pd) loaded oxygen deficient mesoporous tungsten trioxide are proposed. The objectives of this research proposal are to use the as-prepared photocatalysts for the high selective synthesis of hydrogen peroxide from water and molecular oxygen without the usage of hydrogen gas, and to use the in-situ formed hydrogen peroxide for directly oxidation of alcohols and primary carbon-hydrogen bonds in toluene with high selectivity under solar light. A series of mesoporous tungsten trioxide can be facilely prepared by a hard template replicating method using mesoporous silica as template and phosphotungstic acid as a precursor. Oxygen deficient mesoporous tungsten trioxide will be prepared by hydrogenation treatment under different temperature. The interconnected mesopores in tungsten trioxide are beneficial for the adsorption of noble metal precursors. Noble metal nanocrystals would be formed by in-situ reduction on the oxygen deficient mesoporous tungsten trioxide under solar light irradiation. The special heterojunction of noble metal nanoparticles and oxygen deficient mesoporous tungsten trioxide semiconductor will result in high-performance, stable novel photocatalysts for green catalysis under solar light. The new catalytic concepts by the utilization of solar light for highly efficient green chemical synthesis proposed in this project will provide great benefits for both the whole chemical industry and our environment.

Keywords: photocatalytic oxygen reduction,hydrogen peroxide generation,solar light conversion
Control without Trust: A Distributionally Robust Approach (TRUST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-04-01
End date: 2026-03-31
Duration (months): 60.0
Total project cost (EUR): 1499515.0
EU funding (EUR): 1499515.0
Participants: 1
Project status: SIGNED

Recent developments in sensing and communication technology offer unprecedented opportunities by ubiquitously collecting data at high detail and at large scale. Utilization of data at these scales, however, poses a major challenge for control systems, particularly in view of the additional inherent uncertainty that data-driven control signals introduce to systems behavior. In fact, this effect has not been well understood to this date, primarily due to the missing link between data analytics techniques in machine learning and the underlying physics of dynamical systems. I address this issue by proposing a novel control design paradigm embracing ideas from the emerging field of distributionally robust optimization (DRO). DRO is a decision-making model whose solutions are optimized against all distributions consistent with given prior information. Recent breakthrough work, among others by the PI of this proposal, has shown that many DRO models can be solved in polynomial time even when the corresponding stochastic models are intractable. DRO models also offer a more realistic account of uncertainty and mitigate the infamous "post-decision disappointment" of stochastic models. This proposal lays the theoretical foundation for distributionally robust control and aims to make progress along four directions. (i) Decision-dependent ambiguity: I introduce the concept of "invariant ambiguity sets" to encompass the dynamic evolution of uncertainty. (ii) Dynamic programming: I establish a dynamic programming characterization of the proposed DRO models and provide tractable approximation schemes along with rigorous theoretical bounds. (iii) Safe and memory-efficient learning: Leveraging modern tools from kernel methods and online-optimization, I propose tractable, yet provably reliable, synthesis tools. (iv) I plan to develop a tailor-made modeling language and open-source software to make distributionally robust control methods accessible in industry-size applications.

Keywords: control,distributionally robust optimization,dynamic programming,convex optimization,statistical learning
Pervasive and UseR Focused BiomeTrics BordEr ProjeCT (PROTECT)

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: Austria,Germany,Germany,Belgium,Poland,Poland,France,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Border crossing points topic 2: Exploring new modalities in biometric-based border checks (H2020-BES-2015, 2015)
Start date: 2016-09-01
End date: 2019-08-31
Duration (months): 36.0
Total project cost (EUR): 4981752.5
EU funding (EUR): 4981752.5
Participants: 12
Project status: CLOSED

The goal of the PROTECT project is an enhanced biometric-based person identification system that works robustly across a range of border crossing types and that has strong user-centric features. The system will be deployed in Automated Border Control (ABC) areas supporting border guards to facilitate smooth and non-intrusive rapid crossing by travellers based on deployment of the next generation of biometric identification detection methods. The ability for the system to efficiently process low-risk travellers, combined with increased levels of accuracy, security and privacy standards and enabling border guards to concentrate resource on higher-risk travellers, are central ambitions of the project. To achieve these goals, a multi-biometric enrollment and verification system is envisaged, taking into account current and next-generation e-Passport chips, mobile equipment and person identification ‘on the move’. Research will be undertaken into optimization of currently deployed biometric modalities, application of emerging biometrics (including contactless finger vein, speaker recognition and angthropometrics), multi-modal biometrics and counter-spoofing, for border control scenarios. An integral part of the project is collection and dissemination of new border-realistic biometric datasets, and systematic evaluation of the developed biometric methods including vulnerability and privacy assessment. The PROTECT project is strongly user-driven and demonstration of the developed biometric system will be conducted at two different border crossing sites. Finally, the PROTECT project will make contributions to facilitating border crossing of bona-fide non-EU citizens as well as evolving standards in biometric systems.