Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Leaders Activating Research Networks: Implementing the LERU Research Data Roadmap and Toolkit (LEARN)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Support and infrastructures
Action type: Coordination and support actions
Countries involved: Austria,Spain,Netherlands,Chile,United Kingdom
Call: e-Infrastructure policy development and international cooperation (H2020-INFRASUPP-2014-2, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 496582.5
EU funding (EUR): 496582.0
Participants: 5
Project status: CLOSED

We live in the age of the ‘data deluge’, where digital technology enables us to store petabytes of data and to make that available for sharing as open data. Sharing data has the potential to revolutionise the way that researchers work. It avoids costly duplication in the collecting of data and enables research collaborations across the world which otherwise would not be possible. The purpose of this bid is to take the LERU Roadmap for Research Data produced by the League of European Research Universities (LERU) and to develop this in order to build a coordinated e-infrastructure across Europe and beyond. LEARN will deliver a model research Research Data Management (RDM) policy, a Toolkit to support implementation, and an Executive Briefing in five core languages so as to ensure wide outreach. LEARN will hold a series of Workshops within four European countries and one international country. The workshops will serve to advocate the Recommendations on RDM and open data made by the LERU Roadmap, and gain feedback from Workshop attendees for a new Toolkit of best practice. Furthermore, guidance to implement the Roadmap will be provided following identification of Best Practices supported by case studies identified through the workshops. By producing an exemplar RDM policy, which could then be tailored by any university or research institution to meet their needs, LEARN aims to address the challenges of the Work Programme concerning the fragmentation of e-infrastructures and the need to maximize on global research data. Specifically, LEARN will address Stakeholder initiatives; Policy coordination; Take-up of digital infrastructures; and Support cooperation with developing countries. LEARN thus delivers support actions to quicken the take-up of RDM and the move to open data in the emerging world of Science 2.0.

Keywords: research data management,research data policy,league of european research universities leru,open access,data deluge,big data
State Fragmentation and Sub-State Actors in Comparative Perspective: Somalia and Afghanistan (FRAGMENTATION)

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: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

This project offers to study processes of state formation and state fragmentation by conducting extensive fieldwork and an in-depth analysis of sub-state actors in Somalia and Afghanistan. While conventional views assume that most international actors prefer building bureaucratic states, this work aims to investigate the post 9/11 shift in international engagement that consists in identifying sub-state actors with the ability to control populations. This policy-relevant agenda is in line with the need for a better understanding of state failure that was identified in the 2004 Barcelona report. The EU requires a sound strategic thinking on state-building to counter-balance the American model that has shown its limits in Iraq and Afghanistan. This project aims to explain why states remain fragmented and will identify the conditions under which sub-state actors integrate into the state’s institutions. It will develop a theory of sub-state authority that is capable of falsifying two dominant paradigms of state formation: state formation as a struggle against societal forces; and state formation as a bargaining process. It will test hypotheses on the nature of political order at the sub-state level and the role of the international environment in sub-state governance. In addition to generating scientific knowledge on sub-state authorities and producing high quality publications, this work will unfold an elaborate outreach strategy, which could in turn benefit the reconstruction of a viable political order in Afghanistan, Somalia, and elsewhere. The Individual Fellowship would provide the applicant with a unique opportunity to implement this innovative research agenda, improve his methodological and theoretical skills in the process, and advance his long-term career objectives. It would strengthen his integration into the European scientific community while greatly benefiting his host institution in retaining a researcher with high potential for scientific objectives.

Keywords: state fragmentation,state failure,state formation,sub state authority,political order,violence,external intervention,somalia,afghanistan
Who gets to live forever? Toward an Institutional Theory on the Decline and Death of International Organisations (NestIOr)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2024-07-31
Duration (months): 67.0
Total project cost (EUR): 1499977.0
EU funding (EUR): 1499977.0
Participants: 1
Project status: SIGNED

Many international organisations (IOs) are under significant pressure. The World Health Organization was heavily criticized over its handling of the Ebola outbreak. The United States has not contributed to the UNESCO budget since 2011 and plans to quit in 2018. The United Kingdom is negotiating its exit from the EU and Burundi left the International Criminal Court. The ultimate way for states to show their discontent is to disband IOs: no less than a third of the IOs, created between 1905 and 2005, has formally ceased to exist. While academics have analysed how IOs are designed and develop, we know virtually nothing about decline and death. This project addresses therefore the question why do IOs decline or die? The key innovation is to complete the theory on the 'life and death of IOs'. The main hypothesis is that some IOs, due to their specific institutional characteristics, are better at longevity than other IOs. Flexible IOs are more likely to live longer, because they can adjust and be more responsive to external pressures, such as wars, reduced trade volumes or political turnover in the member states. Larger IOs are also more likely to live longer, as it will be more difficult for states to replace them with other IOs. They may also be in a better position to fight off external pressures, including from the membership. This project uses a mixed methods approach. Through an innovative survival analysis, it analyses the effect of institutional characteristics on the likelihood that IOs decline or die as a result of external pressures. This requires the compilation of a new dataset. The quantitative analysis is complemented with fine-grained case studies of IOs at risk of declining and dying across different policy areas. These case studies are informed by unique data resulting from interviews.

Keywords: international organisations,institutional theory,life cycle,institutional design
Intelligent Open Test Bed for Materials Tribological Characterisation Services (i-TRIBOMAT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Innovation actions
Countries involved: Spain,Germany,Spain,Austria,Sweden,Belgium,Finland,Finland,United Kingdom,United Kingdom
Call: Open Innovation Test Beds for Characterisation (IA) (H2020-NMBP-TO-IND-2018, 2018)
Start date: 2019-01-01
End date: 2023-03-31
Duration (months): 51.0
Total project cost (EUR): 7821037.0
EU funding (EUR): 7113313.88
Participants: 11
Project status: SIGNED

Wherever moving bodies are in contact with each other, the respective materials have to show certain friction and wear (tribological) performance. These materials have to fulfil additional functionality and meet ecological, health and safety regulations too. In order to bring novel materials into products, extensive materials characterisation is required. i-TRIBOMAT aims at establishing the world first open test bed of tribological materials characterisation to support industrial innovations among European manufacturing industries and SMEs by upscaling materials to the mechanical components level. i-TRIBOMAT open test bed enables user-driven versatile characterisation of materials at reduced costs by also shortening the time-to-market ca. 5 times. i-TRIBOMAT will realize a unique bundle of shared tribological infrastructure and expertise consisting of >100 tribometers, materials characterisation equipment and additional tools for modelling, protocols, tribo-analytics, design of experiments and online monitoring. i-TRIBOMAT will establish an IT-platform for materials and tribological data harmonisation, management, analytics, sharing and mining. i-TRIBOMAT on its collaboration interface will supply lab-to-field upscaling tools by combining testing with computation, e.g., using artificial intelligence methods, virtual work rooms and surrogate models for various stakeholders, like EUMAT-platform. i-TRIBOMAT services will be validated by three industrially relevant use cases: energy efficiency (transportation), renewable energy (wind turbine) and manufacturing (seals) represented by large-, medium- and small-sized companies. i-TRIBOMAT will be THE European Single Entry Point offering intelligent Tribological Materials Characterisation to predict the durability of materials in use or novel for a wide field of industrial applications. i-TRIBOMAT is expected to cover ≥6.4 % of the dedicated market with a turnover of 9.6 M€ and EBITA objective of 600 k€/year by 2027.

Keywords: tribology,friction,wear,online monitoring,protocols,design of experiment,it platform,materials tribological database,artificial intelligence,modelling,lab to field,standardisation
Coordination and Support Action for Industry4.E (CSA-Industry4.E)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Coordination and support actions
Partnership: ECSEL (Art-187)
Countries involved: Spain,Germany,Ireland,Finland
Call: CSA-for-Lighthouse Initiative Industry4.E (H2020-ECSEL-2018-3-CSA-Industry4E-one-stage, 2018)
Start date: 2018-10-01
End date: 2021-03-31
Duration (months): 30.0
Total project cost (EUR): 499928.75
EU funding (EUR): 499928.75
Participants: 5
Project status: CLOSED

This Coordination Support Action will support the Industry4.E LIASE in bringing together all the Pan-European digital industry stakeholders from across the value chain and EU projects through actions to promote: stakeholder interactions and cooperation; complementary activities of strategic planning, networking and coordination between programmes in different countries; standardisation; dissemination; awareness-raising and communications across the stakeholders and to the general public as part of outreach; networking. The project has brought together selected experts from across Europe and will engage relevant key actors during the project implementation. The approach includes a mix of mapping work, expert groups, workshops, dissemination events, campaigns and on-line tools. The mix of tools used and the involvement of the partners has been designed so as an important impact can be achieved, during a short time-frame and with limited resources. Below are listed the overall goals of CSA-Industy4.E: - to support the Lighthouse Initiative in establishing the Lighthouse and its coordination with amongst other national activities in the field. - to coordinate the relevant stakeholders, project consortia, as well as policy makers along the Electronic Components and Systems value chain in Europe, in full collaboration with the LIASE, - to actively assist the LIASE in the continuous refining of the four Major Challenges defined in the Digital Industry chapter of the ECSEL JU MASP 2018 enabling the successful execution of the roadmap leading to the digitalization of the European industry. - to support the LIASE in the definition of how different research communities are going to collaborate. - to support the LIASE to promote Industry4.E Visibility. - to support the LIASE in their relation with the ECSEL JU Governing Board

Keywords: coordination,support,industry4 e,lighthouse,liase,4 main challenges,cross cutting aspects
GREEN NIGHT (GREEN NIGHT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Türkiye
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020bis, 2020)
Start date: 2021-05-01
End date: 2022-04-30
Duration (months): 12.0
Total project cost (EUR): 137375.0
EU funding (EUR): 137375.0
Participants: 5
Project status: CLOSED

Taking its name from the European Green Deal, GREEN NIGHT stands on the main pillars and policy areas of the strategy with a general outlook on how science can support the aims and targets set out for Europe?s near future. The current global climate emergency urges an immediate and large-scale response from the countries. For the first time, climate change and environmental issues are seen to have migrated to the center of global policymaking. As a result, GREEN NIGHT highlights the importance of raising awareness of the general public, especially young people, on the necessity of the green transformation for the future of our planet. GREEN NIGHT acknowledges that it is essential to protect and restore natural ecosystems for sustainability. Doing so, GREEN NIGHT will focus on main action areas of energy, food, waste, and transportation, and demonstrate the leading role that sciences have in how to achieve this transformation. GREEN NIGHT project brings together four of the ten higher education institutions in Izmir, Turkey as well as the provincial directorate of national education. The consortium represents the scientific research ecosystem and educational management in ?zmir. The HEIs cooperate in local, national and international research projects, joint social responsibility campaign and activities all of which create strong institutional linkages between HEI partners. IZMEM, being the highest local public body responsible for the coordination of educational activities in preprimary, primary and secondary level in ?zmir, brings the public educational expertise into the project. The night activities will be carried out in four campuses around the city, each with its general theme selected from the main topics. Scientists and researchers from a wide range of disciplines will be able to create workshops, seminars, demonstrations, hands-on experiments, games, competitions, shows, or simulations.

Keywords: science,msca,green energy,waste management,green deal
Socially Pertinent Robots in Gerontological Healthcare (SPRING)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Israel,Spain,France,France,France,Czechia,United Kingdom
Call: Robotics Core Technology (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2024-05-31
Duration (months): 53.0
Total project cost (EUR): 8360385.0
EU funding (EUR): 8360385.0
Participants: 8
Project status: SIGNED

Social robots in an environment populated with humans is a technological horizon that is simultaneously so close and so far. Indeed, even if there are a number of companion robots in the market, the social skills of these robots are extremely limited and overcoming these limitations raises many scientific, technological, social and methodological challenges. We aim to develop the technology enabling robotic platforms to be involved in multi-party situated conversations. On one side, this requires perception capabilities that provide robustness against visual occlusions, speaker overlap, noise, interferences and clutter. On the other side, situated conversations requires the robot to take the appropriate actions, regarding the environment and the behavior of the people in it. We will validate the proposed technology in healthcare applicative scenarios, and in particular in a day hospital for elderly people. In this context, the goal of the robotic platform could be to reduce the patient’s stress and ease the waiting, to attend patients and accompany them to the next scheduled medical appointment, or to signal demands and anomalies to the medical personnel.

Keywords: social robots,multi person conversational systems,robotics software integration
Big Data Challenges for Mathematics (BIGMATH)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Italy,Serbia,Serbia,Netherlands,Portugal,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-10-01
End date: 2022-09-30
Duration (months): 48.0
Total project cost (EUR): 1747505.16
EU funding (EUR): 1747505.16
Participants: 11
Project status: CLOSED

BIGMATH is aimed to train a group of young, creative mathematicians with strong theoretical and practical skills, needed to tackle the major challenges of the Big Data era. They will also be trained in a wide set of “soft skills” that enable them to transfer effectively their knowledge to the productive world, thus fostering the European market to create innovation. These abilities will result from a close partnership between academy, providing the students with up-to-date training and knowledge on cutting-edge research on targeted mathematical disciplines, and a group of industries, who will complete the competences of the ESRs by exposing them to a set of Big Data-related real industrial problems. The main domains of interest of the BIGMATH project lie in the areas of optimization, statistics, and large-scale linear algebra for Big Data, which are the most relevant mathematical topics for effective machine learning techniques and ability to build good data-driven products. The effectiveness of the training program that we propose strongly relies on the involvement and close collaboration of universities with the non-academic sector, since Big Data challenges cannot be tackled only through theoretical studies and must be identified mostly by companies, which work daily on problems that involve big, complex or “messy” data. Specifically, BIGMATH focuses on 7 industrial Big Data problems spread across three domains: human facial data analysis, financial applications, and production systems. Project Activities and ESRs training on communication, exploitation of scientific results, dissemination and public engagement, play also a central role in this project, since they are designed to promote dissemination of excellent research and diffusion of innovation in Europe. The creation of such international and life-long network of young researchers, trained across sectors in an innovative way, will thus help Europe to strengthen its international R&I cooperation.

Keywords: big data,network science and learning,features selection,model reduction,statistical geometric methods,large scale linear algebra,distributed optimization,non convex optimization
A reliable, effective ballast water management system through unique in situ biocide production (XCell)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: SME instrument
Countries involved: United Kingdom
Call: Supporting SMEs efforts for the development - deployment and market replication of innovative solutions for blue growth (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-04-01
End date: 2018-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The transfer of invasive species via ballast water in shipping is a continuing threat to biodiversity and human health. The International Maritime Organization (IMO) state untreated ballast water is the second biggest environmental issue after global warming, causing damage of ~$100 billion p.a globally. To address this, recent IMO legislation requires all vessels to fit an approved Ballast Water Management System (BWMS) by 2024. Ship builders and operators are thus seeking compliant BWMS which also meet operational needs such as high efficacy, reliability and low operating costs. Unfortunately, current products, mostly based on Ultraviolet and Electrochlorination, suffer from poor disinfection and low reliability. In fact, almost half of all installed systems are not operational or not performing to standard at any given time, according to The American Bureau of Shipping and major ship owners. Emerging technologies such as Boron Doped Diamond (BDD) electrochlorination can dramatically increase efficacy but suffer from delamination and clogging caused by the byproducts of electrolyzing seawater. Innovative wastewater treatment specialist Atana has developed XCell, a unique patent-protected electrochlorination cell to resolve issues in current state of the art systems. It uses novel, structured BDD electrodes which deliver a 40% more efficacious, non-corrosive product, Hydrus75, which is used and trusted globally. Our objective is to transfer this technology to exploit the market opportunity in the BWMS sector. Production is currently shore-based and we need to demonstrate on board production to the marine market. This Phase 1 project will validate the market opportunity for XCell in the ballast water sector and confirm our potential to generate cumulative revenues of €90 million and cumulative net profits of €13 million over 6 years (7 x ROI on EC Phase 2 investment), creating 204 highly skilled jobs, supporting compliance and boosting Europe’s blue growth.

Keywords: ballast water,invasive species,electrochlorination,boron doped diamond electrode cells,ballast water management system,cell delamination,biocide,blue growth,international maritime organisation