Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Next Generation GEOSS for Innovation Business (NextGEOSS)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Developing comprehensive and sustained global environmental observation and information systems
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Germany,Italy,Germany,Spain,Belgium,Norway,Switzerland,Switzerland,Belgium,Greece,Norway,France,France,Czechia,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Luxembourg,Portugal
Call: European data hub of the GEOSS information system (H2020-SC5-2016-OneStageB, 2016)
Start date: 2016-12-01
End date: 2020-11-30
Duration (months): 48.0
Total project cost (EUR): 10242998.75
EU funding (EUR): 9999998.75
Participants: 30
Project status: CLOSED

The NextGEOSS project will implement a federated data hub for access and exploitation of Earth Observation data, including user-friendly tools for data mining, discovery, access and exploitation. This data hub will be supported by a strong commitment to the engagement of Earth Observation and related communities, with the view of supporting the creation of innovative and business oriented applications. The main general objectives for NextGEOSS are to 1) Deliver the next generation data hub and Earth Observation exploitation for innovation and business; 2) Engage communities, promoting innovative GEOSS powered applications from Europe; and 3) Advocate GEOSS as a sustainable European approach for Earth Observation data distribution and exploitation. NextGEOSS engages main providers of Earth Observation data, including Copernicus Collaborative Ground Segments and Core Services. While continuing to support the GEO-DAB and OpenSearch as the middleware components in charge of interconnecting the heterogeneous and distributed capacities contributing to GEOSS, NextGEOSS focuses on a fundamental change to facilitate the connectivity to the European and global data centres with new discovery and processing methods. It will leverage Web and Cloud technologies, offering seamless and user-friendly access to all the relevant data repositories, as well as providing efficient operations for search, retrieval, processing/re-processing, visualization, analysis and combination of products from federated sources. NextGEOSS includes a set of demonstrative pilot activities, which will showcase the system’s capabilities, and a number of initiatives devoted to engagement of GEO and other EO-related communities.

Keywords: data discovery,analytics,engagement,geoss
Second life of wood: technology to dissolve waste wood to get raw materials (BioFlex)

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

We have developed the BioFlex solvent process that uses unwanted waste wood as a very cheap raw-material to produce clean and high-quality inputs for the production of renewable chemicals, fuels and materials. An inexpensive process separates the main components of wood: cellulose and lignin. These can then be turned into final products such as bio-plastics, common chemicals and novel materials. There are a variety of new value chains that are potentially created through our technology. For example, using the waste wood from a local council, cellulose can be isolated, which is hydrolysed, fermented to succinic acid and then used in paint. The lignin isolated alongside the cellulose can be turned into a drop-in biodiesel sold at the local petrol station. Similarly, sawdust from a timber mill can be fractionated, the cellulose used to produce methylcellulose as a thickener in food, the lignin turned into a bio-derived plastic. We are diverting wood waste from going to landfill or incineration and sawdust going into pellets. The European pellets market is saturated, also with pellets imported from the Americas. The lignin and cellulose produced from these currently underused wood resources can enter new, emerging, or existing value chains. Our competition on the waste wood disposal side is incineration, offering energy recovery in some cases but resulting in the formation of toxic ash and contributing to air pollution. For some heavily treated waste wood there are no competitors except for costly and highly undesirable landfilling which are largely viewed as problematic by both waste producers and waste managers. The market is estimated to be EUR 40.9 billion for BioFlex products and EUR 13.4 billion of waste wood recycling. We have established a clear timeline for commercialization and signed a number of agreements with partners to make this plan feasible. We have an interdisciplinary and dedicated team to make Bioflex and its products available on the market.

Keywords: bioeconomy,chemical processing,renewable chemicals
The Challenges of Return Migration in Africa in the Age of Complex Emergencies: Comparing Multilevel Governance Systems in Ethiopia and Nigeria (ReMiCom)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-11-01
End date: 2022-10-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

This project fills the research and policy gaps in the understudied phenomenon of return migration in Africa, against the backdrop of recent migration 'crisis' in Europe, the increasing securitization of the EU's external borders to curb irregular migration, and the complex emergencies faced by migrants transiting through Libya to Europe. It uses a multilevel governance (MLG) framework to explore the decision-making processes/politics of returning stranded migrants from Libya to their countries of origin in the context of interdependence between governmental actors and nongovernmental organizations at the local, national, regional, and global levels. The few previous studies on return migration in Africa have given relatively little attention to these critical linkages and their reciprocal constructions, in the integrated manner of the MLG approach. The project explores the effects of MLG dynamics on return migrants' reintegration, and the effects of institutional complexity on intergovernmental coordination and policy coherence. The empirical study focuses on Ethiopia and Nigeria, two key priority countries under the EU-IOM Joint Initiative for Migrant Protection and Reintegration, which have served as major countries of origin for migrants and which have witnessed the return of migrants from Libya. The project uses structured focused comparison and process tracing research design, and qualitative methods involving in-depth interviews with returnees and key informants, and document analysis. Consistent with the understanding of MLG as a complex interaction between multiple configurations of actors with divergent interests, ideas and power resources, this study will analyze the mechanisms through which multiple governance authorities interact to shape return migration policies/politics, how these multilevel policies/politics affect sustainable reintegration of returnee migrants, and the strategies used by these migrants to navigate complex MLG dynamics.

Keywords: eu migration crisis,border securitization,return migration in context of complex emergencies in libya,eu iom joint initiative,multilevel governance
Secure Data Processing in the Cloud (RESTASSURED)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Israel,France,France,United Kingdom,United Kingdom
Call: Cloud Computing (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 4996298.75
EU funding (EUR): 4996297.0
Participants: 7
Project status: CLOSED

Secure cloud computing is key for business success and end-user adoption of federated and decentralized cloud services and thus essential to stimulate the growth of the European Digital Single Market. RestAssured will provide solutions to specific technical concerns of data protection in the cloud (such as geo-location restrictions on personal data), which are imposed by the dynamic, multi-stakeholder and decentralized nature of federated cloud systems. These concerns mean that privacy and security by design approaches will no longer be sufficient, due to uncertainty at design time of how the cloud and privacy requirements may dynamically evolve and change at run time. To this end, RestAssured provides novel mechanisms and cloud architectures for the runtime detection, prediction and prevention of data protection violations. RestAssured will assure the protection of sensitive business and citizen data in the cloud by combining four pillars of innovation: (1) combination of fully homomorphic encryption to process data without decryption with cloud enablement of SGX hardware for protected data processing, (2) sticky policies for decentralized data lifecy-cle management, (3) models@runtime for data protection assurance, and (4) automated risk management for run-time data protection. The applicability and usefulness of the RestAssured solutions will be demonstrated through three use cases driven by project partners and involving other stakeholders from outside the consortium; High Performance Computing for commercial enterprises; Pay As You Drive usage based insurance; and self-directed Social care for vulnerable adults and social care providers. The main impact of RestAssured will be to enable the free and seamless movement of data within the EU, whilst assuring conformance to data protection regulations, such as the EU Data Protection Directive and its successor the General Data Protection Regulation.
Inspection Sensor and Evaluation Criteria for Assessing the Inner Surface Quality of Holes in CFRP Parts (HScan)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Austria,Austria
Call: Cost Reduction On Composite Structure Assembly - Definition And Development Of An Inspection Tool To Characterize Inner Surface Hole Quality (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2016-01-01
End date: 2018-03-31
Duration (months): 27.0
Total project cost (EUR): 425950.0
EU funding (EUR): 370637.88
Participants: 2
Project status: CLOSED

The extended use of CFRP parts in aircraft construction (e.g. Airbus A350) requires improved process technologies for the drilling of holes in carbon fibre composites. For the assembly of hull components than 10.000 holes need to be drilled. This project aims at the development of a machine-vision-based inspection tool for the inspection of the inner surface of bores and at the definition of the related quality criteria. The concept is based on a combination of an endoscopic inspection system with photometric stereo. This enables the robust distinction of different characteristic properties in the bores and has a good chance for later automation of the inspection process. Quality criteria will be defined using expert knowledge from previous projects, standards and literature. This knowledge will be extended with experimental data extracted from test parts by using machine learning methods. An evaluation of the inspection tool in an industrial environment will conclude the project. The main result will be a prototype of the inspection tool and a set of quality criteria and rules that are proposed for the quality assessment of the inner surface bores. The developments will be done in such a way that the automation of the inspection process, e.g. by combining it with coordinate measurement systems is possible. This will have impact on the efficiency of drilling methods, specifically of drilling of mixed material stacks such as carbon fibre and titanium. The automatic documentation of surface quality will enable an increase in the efficiency of drilling processes.

Keywords: surface inspection,composite parts,holes,drilling
European Extreme Performing Big Data Stacks (E2DATA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: BDVA (cPPP)
Countries involved: Germany,Greece,Greece,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Luxembourg,United Kingdom
Call: Big data PPP: research addressing main technology challenges of the data economy (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2020-12-31
Duration (months): 36.0
Total project cost (EUR): 4676250.0
EU funding (EUR): 4676250.0
Participants: 9
Project status: CLOSED

Imagine a Big Data application with the following characteristics: (i) it has to process large amounts of complex streaming data, (ii) the application logic that processes the incoming data must execute and complete within a strict time limit, and (iii) there is a limited budget for infrastructure resources. In today’s world, the data would be streamed from the local network or edge devices to a cloud provider which is rented by a customer to perform the data execution. The Big Data software stack, in an application and hardware agnostic manner, will split the execution stream into multiple tasks and send them for processing on the nodes the customer has paid for. If the outcome does not match the strict three second business requirement, then the customer has two options: 1) scale-up (by upgrading processors at node level), 2) scale-out (by adding nodes to their clusters), or 3) manually implement code optimizations specific to the underlying hardware. E2Data proposes an end-to-end solution for Big Data deployments that will fully exploit and advance the state-of-the-art in infrastructure services by delivering a performance increase of up to 10x while utilizing up to 50% less cloud resources. E2Data will provide a new Big Data paradigm, by combining state-of-the-art software components, in order to achieve maximum resource utilization for heterogeneous cloud deployments without affecting current programming norms (i.e. no code changes in the original source). The E2Data innovations will be driven by the requirements of four resource demanding applications from the finance, health, green buildings, and security domains. Finally, the evaluation will be conducted on both high-performing x86 and low-power ARM cluster architectures representing realistic execution scenarios of real-world deployments.

Keywords: heterogeneous computing,elastic resource provisioning,big data applications,energy efficiency
from Intrinsic Motivations to Transitional Wearable INtelligent companions for autism spectrum disorder (IM-TWIN)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Italy,France,Netherlands,Portugal
Call: EIC Transition to Innovation Activities (H2020-EIC-FETPROACT-2019, 2019)
Start date: 2020-11-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 1999965.0
EU funding (EUR): 1999965.0
Participants: 5
Project status: SIGNED

The IM-TWIN project aims to develop some of the outcomes of the FET GOAL-Robots project towards market exploitation. The basic-research FET GOAL-Robots project aimed to study how intrinsic motivations (“curiosity”) drive exploration and learning in children, and how such processes can be used to develop innovative autonomous robots. This led to conceive the idea that intrinsic motivations can be used to build engaging interactive robots usable for the treatment of children with developmental disorders, in particular within the Autism Spectrum Disorder (ASD). ASD is a condition with dramatic importance for the well-being of society as it affects about 1 out of 10 newborns in developed countries. We thus developed a “wearable companion robot”, usable for the treatment and daily support of ASD, called PlusMe, now at the stage of prototype. The IM-TWIN project has two sets of objectives. The first is to develop a highly-modular system pivoting on the PlusMe, called the IM-TWIN, addressing the needs of the market segment involving ASD therapy centres and, potentially, families with ASD children: this involves endowing the PlusMe with intelligent behaviour, equipping it with additional embedded biosensors and cameras for detecting the child’s affective/emotional state, and integrating all components as a whole IoT system. The second set of objectives aims to validate the device and its components with target stakeholders, and to carry out a number of activities directed to advance the system components to a higher Technological Readiness Level (TRL7 for the PlusMe): this involves identifying the target groups and analysing ASD-related markets, refining and implementing an effective IPR strategy, planning the steps for individual and collective exploitation of the project outcomes, and finally creating a startup for the exploitation of the IM-TWIN system and its components. IM-TWIN will also foster the development of a lively high-tech research and application ecosystem.

Keywords: wearable companion robot,iot system for the treatment of the autism spectrum disorder,didactic toys,exploitation plan,market analysis,business plan,startup
Dynamic Configuration Adjustment in the TMA (DYNCAT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Germany,Switzerland,Switzerland,France
Call: Environment and Meteorology for ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-07-01
End date: 2022-12-31
Duration (months): 30.0
Total project cost (EUR): 989298.5
EU funding (EUR): 989298.5
Participants: 5
Project status: CLOSED

DYNCAT aims at enabling more environmentally friendly and more predictable flight profiles in the TMA, namely on approach, by supporting the pilots in configuration management. Approach and take-off operations at busy airports are virtually always less noise and fuel efficient than possible due very rigid constraints imposed on the flight profiles by ATC (concerning both vertical profiles and speed regimes), but also due to lack of support to the pilots for dealing with given restrictions/constraints and actual weather in the optimum way. Current FMS functionalities do not support configuration management very well, only a simplified, static high-lift sequence with a fixed order is available. The adequacy of actual procedure flown depends very much on the pilots' skills, but also on their access to information such as actual wind situation and ATC intents. Objectives: • analyse impact of current mismatch of aircraft and ATC procedures on flyability (pilot workload, safety) and environmental impact (fuel burn and CO2; noise) • propose amendments to on-board and ground procedures including identification of necessary enablers (technical, regulatory) • quantify ecological and economical potential of proposed improvements, including the prediction of 4D Trajectories, through exemplary analysis and early prototype simulation of newly designed configuration management functionality The study will be done exemplarily using the A320 family as reference aircraft and the development of new FMS functionalities for the optimisation of the high-lift system sequencing during approach as use case. Access to recordings of actual flight operational data, associated ATC instructions issued, weather data and noise measurements for a large number of operations in Swiss airspace on one hand and the implementation of the improved functionalities on an industrial test platform on the other allow for high validity and relevance of the results.

Keywords: environmental impact,noise,4d trajectory,flight predictability,configuration management
Design of biomaterials with enzymatic logic gates (BioMaGic)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-04-01
End date: 2024-03-31
Duration (months): 36.0
Total project cost (EUR): 253052.16
EU funding (EUR): 253052.16
Participants: 2
Project status: CLOSED

The present proposal takes a novel approach to design biomaterials with enzymatic logic gates. By mimicking enzymatic biocatalytic cascades present in natural tissues, these biomaterials will be able to receive and process multiple biochemical signals, and logically elicit therapeutic outputs in response to specific combinations of input signals. This goal will be realized using enzymatically active hydrogel particles (Specific Objective (SO) 1) as building blocks that will be assembled into biomaterial coatings (SO 2) or three-dimensional constructs (SO 3), which can be applied to surfaces of currently available biomaterials or serve as autonomous implantable biomaterials, respectively. To illustrate the wide applicability of this biomaterial design strategy, two major clinical challenges are selected as target applications, i.e., tissue regeneration and bacterial infection. The fellowship will harness the existing experience of the researcher in (bio)materials science, and will add a new dimension to this expertise in terms of biochemical signaling and enzymatic reactions. To achieve this goal, the researcher will carry out the outgoing phase of this fellowship at Harvard University, and then return to Eindhoven University of Technology for the incoming phase. The envisioned activities described in the proposal will prepare the researcher to emerge from this fellowship with additional scientific competences and transferable skills, and to establish an expanded international network. The success in this project will introduce a new class of biomaterials with dynamic signaling capabilities to elicit logic-based therapeutic effects, which can impact virtually all fields in which biomaterials are used, contributing to the enhancement of EU healthcare and economic interests. Through BioMaGic, the researcher will initiate an independent line of research as the basis for establishing an academic faculty career at a European research university.

Keywords: biomaterial,hydrogel,particle,enzyme,tissue engineering,regenerative medicine,antibacterial,infection,bottom up,coating,scaffold,alginate,microfluidic,3d printing,assembly