Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Migration Ethics (Migration Ethics)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2021-12-30
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Over the last three years, millions have attempted to cross the EU frontier. Some are fleeing war and persecution; others poverty. The EU has struggled to find an acceptable response. It is aware that the denial of legal entry encourages risky crossings and that many of those migrating are refugees. Yet it is also keen to limit immigration. It has therefore responded by insisting on a sharp distinction between refugees and economic migrants, making some exceptions for the former, while seeking to exclude the latter. It has also obtained an agreement with Turkey that permits the EU to return migrants in exchange for various benefits. This response seems to have been effective in limiting migration along the Turkey-Greece route. Nevertheless, the large numbers migrating along other routes, the lack of sufficient protection for many refugees and the high death toll at sea, all cast doubt on the adequacy of the EU response. This research project will be the first within ethical theory to address the ethics of migration in the context of the Mediterranean crisis. It will assess how EU states should respond to such large waves of migration. It focusses on three questions. First, which migrants are entitled to protection? International law and EU policy single out refugees, but the research project will investigate whether states have duties towards other migrants as well. Second, of those who are entitled to protection, where should they be protected? The EU-Turkey agreement effectively involves the outsourcing of protection to Turkey. Such “safe third country” agreements are ethically controversial. Third, if it is permissible to exclude some migrants, how should they be excluded? Given the numbers that are currently dying while trying to evade migration restrictions, it is important to explore the various methods of restriction to see which, if any, are ethically defensible and, given the current regulatory framework, legally feasible.
Moving beyond the Access to Benefit Sharing (MBABS)

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: Social Sciences and Humanities
Countries involved: India,Portugal
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-11-02
End date: 2022-11-01
Duration (months): 24.0
Total project cost (EUR): 135634.56
EU funding (EUR): 135634.56
Participants: 2
Project status: CLOSED

Many countries worldwide have ratified the Access to Benefit Sharing (ABS) of the Nagoya Protocol under the convention on Biological Diversity (CBD). The ABS ultimately seeks to fulfil the fair and equitable sharing of benefits arising from the use of genetic resources. The ABS encourages opportunities to exploit genetic resources, so that benefits can be shared equally and fairly between knowledge holders and industrial companies. India has since the ratification of the Convention on Biological Diversity in 1992 granted over 1500 ABS applications; however the National Biodiversity Authority (NBA) has signed only 100 ABS agreements. While the ABS seem to pave the way forward to a win-win situation between the local communities and industrial companies, little is known of the impacts on local communities. The study will explore the ABS at a micro level for medicinal and aromatic plants exploited by corporations and their impact on the farmers, growers, and rural women. It will analyse 1) the factors that determine the attribution of benefits, 2) the short, long term impact of ABS on local communities, socio-economic conditions, social status, the retention of traditional knowledge, and resource sustainability, 3) and whether women access the ABS in a context mostly controlled by male panchayat. The results will influence other entrepreneurial models beyond the Indian case study, such as the cooperative model in Morocco which still struggles to implement the ABS and other European contexts where the ABS application remains unclear. The research will contribute to the current debate of the Access of Benefit Sharing, and its impacts at a local level. The Fellowship will deliver three publications, public outreach materials to avail this new field of enquiry to a wider academic and non-academic audience to resolve issues of social exclusion. It will open up perspectives of employment for the researcher in a European academic institution or a policy research institute.

Keywords: access to benefit sharing,conservation,gender equality,rural communities,sustainability
Sustainable Rural Development and International Immigration in the Pyrenees (SURDIM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2024-05-30
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: TERMINATED

International immigration is a scarcely studied phenomenon in rural Europe, even immigrants may prevent depopulation and ageing in rural areas. Filling this gap, the project studies the role of international immigrants in supporting local economies, bringing in new ideas on sustainability and revitalising the social fabric of Pyrenean municipalities with fewer than 2.000 inhabitants in four areas with contrasting economic structures in France and Spain. In line with Horizon 2020, the project helps to identify major economic opportunities for innovative companies and contribute to the Union´s competitiveness and employment in rural areas. The research objectives are: 1) conduct a critical theoretical exercise of international immigration in rural settings; 2) analyse immigrant pathways of labour/economic incorporation in selected French and Spanish Pyrenean municipalities to identify sustainable economic projects managed/supported by immigrants, and present successful experiences in terms of rural development; 3) study settlement processes of immigrants in selected municipalities, analysing challenges for social incorporation in rural communities, and exploring issues on well-being and inter-cultural aspects; 4) continue updating and extending to other parts of Spain and France the existing Geographical Information System (GIS) in order to contribute to policy and societal debates on immigration in rural areas. Objective 1 will be achieved through comprehensive desktop research to collect and analyse scientific and policy literature relevant to locate pertinent concepts and theoretical frameworks. O2 and O3 will be attained through primary qualitative data analysis collected in semi-structured interviews with immigrants and key informants, and complemented with participant observation. Through statistical compilation and fieldwork for O2 and O3, statistical data and photo material at a local level will be incorporated into an open-access GIS (O4)

Keywords: international immigration,rural development,immigrant enterpreneurship,pyrenees,farming,rural,tourism,sustainability
BIOSWITCH: Encouraging Brand Owners to Switch-to-Bio-Based in highly innovative ecosystems (BIOSWITCH)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Coordination and support actions
Partnership: BBI (Art-187)
Countries involved: Ireland,Spain,Spain,Belgium,Finland,Netherlands,Denmark
Call: Assist brand owners to ‘switch to bio-based’ (H2020-BBI-JTI-2019, 2019)
Start date: 2020-06-01
End date: 2022-05-31
Duration (months): 24.0
Total project cost (EUR): 999995.0
EU funding (EUR): 954823.8
Participants: 9
Project status: CLOSED

BIOSWITCH main aim is to bring Europe to the forefront of the bio-based economy, encouraging and supporting brand owners to switching to bio-based approaches by following a holistic, systemic approach built on two pillars: (1) a framework where brand owners are placed as the centre of the public administration-bio-based industry-consumers triangle through a set of events and communication actions; and (2) the BIOSWITCH toolbox as the ultimate instrument that will assist them in the bio-based transition journey. Main novelty is a bio-based transition level self-assessment test to be done by brand owners so they can get access only to the tools that match their needs. The framework will support the mapping and analysis exercise, where information about brand owners needs, motivations and incentives will be gathered. Perceived risks and mitigation actions will be identified and awareness and discussions with consumers will be fostered. Then, the BIOSWITCH toolbox will be developed and validated through four brand owner driven cases studies (NOPA Nordic, ALPRO, ZAFER and Grupo La Caña) that represent four different bio-based transition strategies from chemistry, forest, food and agro sectors and different levels of bio-based transition level. A replication plan development and toolbox roll-out will be conducted. Both regional and pan-European approaches will be considered all along the project. Main impact to be achieved will be reaching brand owners that are not familiar with bio-based approaches (at least 81 clusters that are not BIC members), and increasing brand owners interest in bio-based strategies, as well as triggering their level of involvement and commitment to bioeconomy (it is foreseen that and at least 180 brand owners from partners networks can be reached). Bio-based product acceptance will be also increased as at least 550 attendees are expected in all project foreseen events.

Keywords: brand owner,consumer,bio based products,bioeconomy,bio based economy,bioindustry,bio based industry,agro,forest,chemical,food,policy making,value chain,innovation ecosystem
HPC BIG DATA ARTIFICIAL INTELLIGENCE CROSS STACK PLATFORM TOWARDS EXASCALE (ACROSS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Innovation actions
Partnership: EuroHPC (Art-187)
Countries involved: Italy,Italy,Italy,Italy,Germany,Italy,Norway,Greece,France,France,Czechia,Netherlands,United Kingdom
Call: HPC and data centric environments and application platforms (H2020-JTI-EuroHPC-2019-1, 2019)
Start date: 2021-03-01
End date: 2024-02-29
Duration (months): 36.0
Total project cost (EUR): 8815845.0
EU funding (EUR): 3999115.88
Participants: 17
Project status: SIGNED

Supercomputers have been extensively used to solve complex scientific and engineering problems, boosting the capability to design more efficient systems. The pace at which data are generated by scientific experiments and large simulations (e.g., multiphysics, climate, weather forecast, etc.) poses new challenges in terms of capability of efficiently and effectively analysing massive data sets. Artificial Intelligence, and more specifically Machine Learning (ML) and Deep Learning (DL) recently gained momentum for boosting simulations’ speed. ML/DL techniques are part of simulation processes, used to early detect patterns of interests from less accurate simulation results. To address these challenges, the ACROSS project will co-design and develop an HPC, BD, and Artificial Intelligence (AI) convergent platform, supporting applications in the Aeronautics, Climate and Weather, and Energy domains. To this end, ACROSS will leverage on next generation of pre-exascale infrastructures, still being ready for exascale systems, and on effective mechanisms to easily describe and manage complex workflows in these three domains. Energy efficiency will be achieved by massive use of specialized hardware accelerators, monitoring running systems and applying smart mechanisms of scheduling jobs. ACROSS will combine traditional HPC techniques with AI (specifically ML/DL) and BD analytic techniques to enhance the application test case outcomes (e.g., improve the existing operational system for global numerical weather prediction, climate simulations, develop an environment for user-defined in-situ data processing, improve and innovate the existing turbine aero design system, speed up the design process, etc.). The performance of ML/DL will be accelerated by using dedicated hardware devices. ACROSS will promote cooperation with other EU initiatives (e.g., BDVA, EPI) and future EuroHPC projects to foster the adoption of exascale-level computing among test case domain stakeholders.

Keywords: complex workflows,big data,petascale,exascale,neuromorphic processors,multi level orchestration,cross stack convergence
MICROPOrous Devices for next-generation therapeutic delivery (Micropod)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Ireland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-14
End date: 2017-04-13
Duration (months): 24.0
Total project cost (EUR): 187866.0
EU funding (EUR): 187866.0
Participants: 1
Project status: CLOSED

Dr. Eoin O’Cearbhaill, a Biomedical Engineer, recently returned to Ireland to become a Lecturer in Bioengineering at University College Dublin. This fellowship will enable him to work with Prof. Michael Gilchrist to develop his career by implementing a research platform based on medical devices for therapeutic delivery, with a specific focus on microneedles. Microneedle transdermal patches are an important advance in the delivery of therapeutics, especially vaccines and biotech molecules. They offer advantages over the classic approaches of hypodermic drug delivery, (needle phobia, risk of needle stick injuries), oral delivery (degradation and poor intestinal permeability of biologics), and traditional skin patches (limited to passive delivery of small molecules). The traditional hollow needle design suffers from a scaling effect, limiting mechanical performance at the penetration depth required for efficient absorption and large molecule delivery. Current microneedle patches targeting transdermal delivery are often prohibitively expensive to manufacture and are prone to mechanical failure. Here, Dr. O’Cearbhaill proposes the development of microneedle patches with interconnected porosity, aimed at consistent, rapid delivery to dermal tissue, in close proximity to the capillary bed. This platform technology can also be applied to other minimally invasive devices designed to provide controlled therapeutic infusion to precise locations. The applicant will develop porous microdevices, using manufacturing techniques that are scalable and cost-effective, enhancing the commercial value and potential to rapidly translate this technology to patients. The reintegrating applicant’s proficiency in medical device concept development will synergise with the host’s expertise in computational modelling of penetration in soft tissue and micromanufacturing to aid in the applicant’s development as a leader in medical device design and innovation.

Keywords: medical devices,microneedles,transdermal,drug delivery,microporous,biomedical,microporosity control,sintering
Goal-based Open-ended Autonomous Learning Robots (GOAL-Robots)

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,Italy,France
Call: FET-Open research projects (H2020-FETOPEN-2014-2015-RIA, 2015)
Start date: 2016-11-01
End date: 2021-04-30
Duration (months): 54.0
Total project cost (EUR): 3481875.0
EU funding (EUR): 3481874.75
Participants: 8
Project status: CLOSED

This project aims to develop a new paradigm to build open-ended learning robots called `Goal-based Open-ended Autonomous Learning' (GOAL). GOAL rests upon two key insights. First, to exhibit an autonomous open-ended learning process, robots should be able to self-generate goals, and hence tasks to practice. Second, new learning algorithms can leverage self-generated goals to dramatically accelerate skill learning. The new paradigm will allow robots to acquire a large repertoire of flexible skills in conditions unforeseeable at design time with little human intervention, and then to exploit these skills to efficiently solve new user-defined tasks with no/little additional learning. This innovation will be essential in the design of future service robots addressing pressing societal needs. The project will develop the GOAL paradigm by pursuing three main objectives: (1) advance our understanding of how goals are formed and underlie skill learning in children; (2) develop innovative computational architectures and algorithms supporting (2a) the self-generation of useful goals based on user/task independent mechanisms such as intrinsic motivations, and (2b) the use of such goals to efficiently and autonomously build large repertoires of skills; (3) demonstrate the potential of GOAL with a series of increasingly challenging demonstrators in which robots will autonomously develop complex skills and use them to solve difficult challenges in real-life scenarios. The interdisciplinary project consortium is formed by leading international roboticists, computational modelers, and developmental psychologists working with complementary approaches. This will allow the project to greatly advance our understanding of the fundamental principles of open-ended learning and to produce a breakthrough in the field of autonomous robotics by producing for the first time robots that can autonomously accumulate complex skills and knowledge in a truly open-ended way.

Keywords: autonomous humanoid robot,autonomous open ended learning,goal self generation,intrinsic,motivations,multiple skill learning,hierarchical architectures,future service,assistance robots
Digital Reality in Zero Defect Manufacturing (QU4LITY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Spain,Italy,Austria,Austria,Germany,Germany,Germany,Germany,Germany,Spain,Spain,Italy,Italy,Germany,Spain,Italy,Germany,Spain,Spain,Italy,Italy,Switzerland,Switzerland,Slovenia,Norway,Finland,Greece,Slovenia,Belgium,Greece,France,France,France,Netherlands,Netherlands,Luxembourg,Portugal,Portugal
Call: Digital Manufacturing Platforms for Connected Smart Factories (H2020-DT-2018-1, 2018)
Start date: 2019-01-01
End date: 2022-07-31
Duration (months): 43.0
Total project cost (EUR): 19668538.52
EU funding (EUR): 15998180.540000001
Participants: 63
Project status: CLOSED

QU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SME-friendly and transformative shared data-driven ZDM product and service model for Factory 4.0 through 5 strategic ZDM plug & control lighthouse equipment pilots and 9 production lighthouse facility pilots. QU4LITY will also demonstrate how European industry can build unique and highly tailored ZDM strategies and competitive advantages (significantly increase operational efficiency, scrap reduction, prescriptive quality management, energy efficiency, defect propagation avoidance and improved smart product customer experience, and foster new digital business models; e.g. outcome-based and product servitisation) through an orchestrated open platforms ecosystem, ZDM atomized components and digital enablers (Industry 4.0 digital connectivity & edge computing package, plug & control autonomous manufacturing equipment, real-time data spaces for process monitoring & adaptation, simulation data spaces for digital process twin continuity, AI-powered analytic data spaces for cognitive digital control twin composable services, augmented worker interventions, European quality data marketplace) across all phases of product and process lifecycle (engineering, planning, operation and production) building upon the QU4LITY autonomous quality model to meet the Industry 4.0 ZDM challenges (cost and time effective brownfield ZDM deployment, flexible ZDM strategy design & adaptation, agile operation of zero defect processes & products, zero break down sustainable manufacturing process operation and human centred manufacturing).

Keywords: zero defects manufacturing,digital platforms,excellence in manufacturing,quality control
ULtra-ThIck Multi-mAterial baTtery Electrodes (ULTIMATE)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Over the past decades, significant advances have been achieved in the performance of Li-ion batteries by the development of new active materials and better understanding of energy storage and degradation mechanisms. One aspect of batteries that has received little attention so far, is the form factor of the electrodes. However, simple changes in the battery architecture, such as increasing the coating thickness, allows to drastically decrease the relative fraction of dead volume in the battery (e.g. separators and current collectors). Theoretically, it is possible to replace a stack of ten standard 50 µm thick electrode coatings by one 500 µm thick coating. This would result in up to 30% savings in weight as well as volume of the battery, and would be transformative for both portable electronics and electrical vehicles. However, this is fundamentally challenging because of 1) slow ion diffusion through thick electrodes, 2) high electric resistance through the thickness of the electrode, and 3) cracking and flaking challenges during the fabrication of thick electrodes. This MSCA Fellowship is building on novel gel electrodes developed by the applicant, which can be moulded into 3D geometries that allow to move away from the current flat battery morphology and to address the above challenges with thick battery electrodes. During this Fellowship, the dynamics of ion and electron transport in thick 3D interdigitated electrodes will first be simulated. Then, the electrochemical performance of the gels will be optimised, in particular, a phase separation method to improve Li-diffusion will be optimised. Next, the thermal moulding process will be optimised to create interdigitated electrodes which will be tested in half and full cells. Finally, the proposed fabrication process will be demonstrated on a roll-to-roll coater, which is important to prove its scalability to industrial stakeholders.

Keywords: lithium ion batteries,energy storage