Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
HumanE AI Network (HumanE-AI-Net)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Spain,Ireland,Italy,Italy,Italy,Italy,Italy,Germany,Germany,Spain,Italy,Italy,Switzerland,Belgium,Finland,Hungary,Poland,Sweden,Sweden,Türkiye,Greece,Slovenia,Latvia,France,France,France,France,France,France,France,Czechia,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,United Kingdom,United Kingdom,Portugal,Portugal,United Kingdom
Call: Towards a vibrant European network of AI excellence centres (H2020-ICT-2019-3, 2019)
Start date: 2020-09-01
End date: 2024-08-31
Duration (months): 48.0
Total project cost (EUR): 12135769.13
EU funding (EUR): 11996875.0
Participants: 59
Project status: SIGNED

The HumanE AI Net brings together top European research centers, universities and key industrial champions into a network of centers of excellence that goes beyond a narrow definition of AI and combines world leading AI competence with key players in related areas such as HCI, cognitive science, social sciences and complexity science. This is crucial to develop a truly Human Centric brand of European AI. We will leverage the synergies between the involved centers of excellence to develop the scientific foundations and technological breakthroughs needed to shape the AI revolution in a direction that is beneficial to humans both individually and societally, and adheres to European ethical values and social, cultural, legal, and political norms. The core challenge is the development of robust, trustworthy AI capable of what “understanding” humans, adapting to complex real-world environments, and appropriately interacting in complex social settings. The aim is to facilitate AI systems that enhance human capabilities and empower individuals and society as a whole while respecting human autonomy and self-determination. The HumanE AI Net project will engender the mobilization of a research landscape far beyond direct project funding, involve and engage European industry, reach out to relevant social stakeholders, and create a unique innovation ecosystem that provides a many fold return on investment for the European economy and society. We will make the results of the research available to the European AI community through the AI4EU platform and a Virtual Laboratory, develop a series of summer schools, tutorials and MOOCs to spread the knowledge, develop a dedicated innovation ecosystem for transforming research and innovation into an economic impact and value for society, establish an industrial Ph.D. program and involve key industrial players from sectors crucial to European economy in research agenda definition and results evaluation in relevant use cases.

Keywords: human centric ai,ethical ai,ubiquitous computing
Redefining the future of cultural heritage, through a disruptive model of sustainability (ReInHerit)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Reflective societies - cultural heritage and European identity
Action type: Coordination and support actions
Countries involved: Austria,Spain,Italy,Italy,Cyprus,Belgium,Greece,Finland
Call: Culture beyond borders – Facilitating innovation and research cooperation between European museums and heritage sites (H2020-SC6-TRANSFORMATIONS-2020, 2020)
Start date: 2021-03-01
End date: 2024-02-29
Duration (months): 36.0
Total project cost (EUR): 3016615.0
EU funding (EUR): 2998115.0
Participants: 12
Project status: SIGNED

ReInHerit aspires to disrupt the current status quo of communication, collaboration and innovation exchange between museums and cultural heritage sites, in a sense that it will connect cultural heritage collections and sites, and present Europe’s tangible and intangible heritage to citizens and tourists in their wider historical and geographical contexts. The ReInHerit project is proposing a very innovative model of sustainable heritage management, through which a dynamic network will be born; this network comprised of cultural heritage professionals, innovation and cultural heritage solution tech experts, researchers, national museums, regional and local museums, and representative managers of Heritage Label sites. ReInHerit is also supported externally, by relevant municipalities, regional and local museums, which will also enhance the communication and cooperation of the cultural heritage sector across the EU and beyond. The ReInHerit proposed model will be based on the development of a digital cultural heritage ecosystem, where all the key stakeholders (museums, heritage sites, policy makers, professionals and communities) will have an open and collaborative space to experiment, share and innovate. This will be achieved through the creation of an innovative Digital Hub. Tools and resources (on training, tourism, conservation, preservation, knowledge creation, content use/reuse, illicit trafficking of goods) necessary for sustainable management will be shared through the digital platform that will host the ecosystem. This ecosystem will also be the experiential open-ended space that will support and generate entrepreneurial initiatives, knowledge produced through co-creation, curation of digital content and visitor experiences. The proposed work plan includes a variety of key activities that will enable the collaboration of museums and cultural heritage sites, real-time.

Keywords: museums,cultural heritage sites,digital hub,network,innovation,technology,smart tourism,conservation,preservation,trainings,cultural heritage professionals
High Asian Icy Landscapes during warm interstadials (HAIL): coupling between monsoon intensity and past glacier culminations? (HAIL)

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: Environment and Geosciences
Countries involved: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-03
End date: 2024-01-02
Duration (months): 24.0
Total project cost (EUR): 202158.72
EU funding (EUR): 202158.72
Participants: 1
Project status: CLOSED

The cryosphere of High-Mountain Asia (HMA) is extremely sensitive to shifts in air temperature and precipitation, with its glaciers and ice caps not only responding to the present warming but also to changes in the intensity of prevailing atmospheric circulation systems. One such system–the Asian monsoon–is a seasonal change in wind direction, which allows moist air from the Indian and Pacific oceans to precipitate at high elevations of HMA, feeding the cryosphere. Decoupling global from regional climate drivers is important, if we are to understand past changes in glaciers or predict their future fate. HAIL’s primary aim is to untangle the complex interplay between different atmospheric drivers and documented glacier culminations during the past 60 thousand years, zooming in on an enigmatic behaviour of HMA glaciers during warm interstadial intervals. A counterintuitive glacier growth during these warm intervals appears out-of-phase with diminishing and disappearing ice masses elsewhere on Earth but correlates well with increases in monsoon intensity. Until now, a lack of robust evidence on glacier culminations, as well as absence of a framework for assessing their paleoclimatic significance have merely fuelled speculations. HAIL combines a comprehensive compilation of constraints on past glacier geometries and paleoclimate proxy data with paleoclimate and advanced numerical glacier models to test the hypothesis that regional glacier culminations during globally warm periods of the last glacial cycle were driven by variations in the monsoon intensity. Through this action, the researcher will not only extend his strong expertise in glacial geomorphology and geochronology into the realm of numerical data interpretation but will also transfer paleo-data skills and considerable pedagogical training to the host. Riding on the host’s cutting-edge education methods, HAIL will test and develop its outreach strategy for students and the general public.

Keywords: paleoglaciology,cosmogenic nuclides,advanced numerical glacier models,data model comparison
Complex Oscillatory Systems: Modeling and Analysis (COSMOS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Joint Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Austria,Spain,Spain,Italy,Germany,Austria,Italy,Germany,Singapore,Slovenia,Slovenia,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-EJD) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2019-08-31
Duration (months): 56.0
Total project cost (EUR): 3877488.12
EU funding (EUR): 3877488.12
Participants: 16
Project status: CLOSED

Many natural and artificial systems are often composed of oscillatory elements which, besides evolving according to their own non-trivial internal dynamics, mutually interact. As a result, many temporal and spatial scales are typically present, often accompanied by the spontaneous emergence of collective properties. Altogether, such features make the task of understanding the resulting evolution a challenging interdisciplinary problem. Zero-knowledge methods do generally require too large amount of data to allow drawing meaningful conclusions. In order to overcome this limitation, it is necessary to add skilful hypotheses about the structure of the underlying model and, thereby, on the relevant variables. This task is often tackled in an ad hoc way and the approach is based rather on personal preferences than on objective elements. The goal of this project is to fill the gap, by developing a general and coherent set of tools for the system identification and control, as well as to improve our ability to make predictions. The task will be pursued by combining top-down with bottom-up approaches which will be used to identify the most appropriate variables. Such analysis will be integrated by performing suitable case studies and mutually validating the various techniques to test the correctness of the underlying assumptions (both in the context of theoretical models as well as in experimental time series, such as physiological and neural data). A user-friendly software package will be ultimately developed to make the methods accessible to a broad set of potential users, including those with minimal theoretical competences. Furthermore, we will train a new generation of scientists able to implement a broad range of interdisciplinary approaches to the multivariate time signals that may be generated by the evolution of complex systems.

Keywords: complex systems,data analysis,nonlinear dynamics,oscillations,networks,synchronization,collective dynamics
Bremen International Graduate School of Social Sciences - Doctoral Education in Partnerships (BIGSSS-departs)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Germany,Ukraine,Italy,India,Israel,Germany,Russian Federation,France,United States,United Kingdom
Call: Marie Skłodowska-Curie Co-funding of regional, national and international programmes (COFUND-DP) (H2020-MSCA-COFUND-2015, 2015)
Start date: 2016-04-01
End date: 2021-07-31
Duration (months): 64.0
Total project cost (EUR): 3662400.0
EU funding (EUR): 1831200.0
Participants: 12
Project status: CLOSED

BIGSSS-departs (BIGSSS Doctoral Education in Partnerships) offers doctoral studies in a program that combines close supervision of dissertation work with demand-tailored education, both embedded in a vibrant research landscape at the Bremen International Graduate School of Social Sciences (BIGSSS). The core disciplines comprise political science, sociology, and psychology. Program participants will follow a 42 months structured curriculum including a stay abroad at an external academic partner institution or with an external non-academic partner. BIGSSS has gathered a network of some of the most prestigious international social science partner organizations. With features such as Career day or the Research day, a strong inter-sectorial exposure both in the partner network and with regards to the composition of the curriculum is an essentially new feature of BIGSSS-departs. Through a secure employment contract, the monthly pay in BIGSSS-departs will include health insurance and all German social security benefits already. Even though BIGSSS-departs is connected to a sole beneficiary (University of Bremen), it uses structures and resources of two universities.

Keywords: structured doctoral education,international partnerships,bremen,social sciences,inter sectorial
Eco-Design Transverse Activity GAM 2018 (ECO GAM 2018)

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: Germany,Germany
Call: Eco Design Transverse Activity (H2020-IBA-CS2-GAMS-2017, 2017)
Start date: 2014-01-08
End date: 2019-12-31
Duration (months): 60.0
Total project cost (EUR): 2977513.01
EU funding (EUR): 2977513.01
Participants: 2
Project status: CLOSED

Integrating ecologic, economic and socio-economic effects, ecoDESIGN will strongly contribute to sustainability and future competitiveness of the European aviation industry according the European Eco innovation agenda. It covers the assessment of materials, processes and resources (MPR) employed along the entire aircraft life cycle. Based on the fundamental structure of eight Eco themes , ecoDESIGN enables an extended Life Cycle Analysis (LCA+), going far beyond aircraft operation. As a Transversal Activity in Clean Sky 2 ecoDESIGN concentrates on the development and integration of fundamental methodologies, tools and databases into a comprehensive platform and on the assessment and evaluation of innovative technology developments within the SPDs. Extending the coverage of the technology base for ecoDESIGN, validated LCI Data will be employed to derive Eco-Statements and to enable future standardized, consistent and comparable analysis with regard to Design for Environment (DfE) Approaches as of 2020. In parallel, ecoDESIGN will monitor the socio economic development of the European aviation industry in Clean Sky 2 by means of socio-economic derivative.

Keywords: eco design,product life cycle,reuse,recycling
Imaging infections: integrated, multiscale visualization of infections and host response (IMAGE-IN)

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: Chemistry
Countries involved: Germany,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 1233805.68
EU funding (EUR): 1233805.68
Participants: 2
Project status: SIGNED

The European training network IMAGE-IN aims to contribute to the reduction of the worldwide mortality rate caused by infectious diseases by educating a new generation of leading experts in advanced imaging and data analysis methods that will help to better understand and fight infections. The network will provide cutting-edge insights into molecular imaging, multiscale visualization of infections and host response that can help to detect infection, determine its severity and characterize the cause of infection in a time efficient manner to enable personalized treatment. IMAGE-IN actively involves the non-academic sector (SMEs and hospitals) in a unique doctoral training to increase the employability of the IMAGE-IN researchers and to adapt their new skills to the needs of businesses and wider society. While molecular imaging is already common in the clinic, the five research projects target on how data from different imaging modalities can be combined for a better understanding of the pathogenesis of difficult-to-treat infections and ultimately, can lead to faster diagnostics. These domains play essential roles in understanding pathogenesis of infections but also expedite bench-to-bedside translation of new biophotonic and spectroscopic insights (e.g. for diagnostics or later for therapy). The five projects' supervisors have proven track records of success in research and training and bring in perspectives from the public and the private sector. Trainee mobility within the network, in combination with dedication, strong affiliations and technology, creates a highly synergistic framework for success. This assures efficient transfer of excellent academic results to the industry and strengthens Europe's human capital base in R&I through a new generation of entrepreneurial and highly-skilled early career researchers.

Keywords: biophotonic imaging,data fusion,image mining
Catalogue of Research Infrastructure Services (CatRIS)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Support and infrastructures
Action type: Coordination and support actions
Countries involved: Greece,Greece,Belgium,France,France,Portugal
Call: Policy and international cooperation measures for research infrastructures (H2020-INFRASUPP-2018-1, 2018)
Start date: 2019-01-01
End date: 2021-06-30
Duration (months): 30.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 8
Project status: CLOSED

The European RI landscape is diverse (RI operators, managers, users (researchers, industry) decision makers, funders). Past efforts were directed towards gaining insight into available RIs, national RI road mapping practices, and planning of pan-European RIs. A catalogue of services for e-infrastructures is currently under development. A recent report by OECD Global Science Forum highlights that ”open digital platforms…can have substantial value for a wide range of stakeholders”. Responding to the needs of users of physical RIs, CatRIS will make available information about RI services offered in Europe. Such information will improve visibility of services, foster European and international collaborations, and enhance RI accessibility, usage, and impact. Currently, RIs provide information about their services mostly in free formats through websites with varying completeness and details. Existing initiatives will be analysed to identify best practices and to propose a service catalogue structure to respond to users’ needs. A prerequisite for the success of CatRIS is its integration in the European RI landscape and its different systems. Avoiding duplication of efforts and fostering interoperability is also essential. Although challenging, an interoperable system is the only sustainable approach that can be envisaged to keep information alive. In particular, CatRIS will follow closely the development of the EOSC to become an integrated part of it as an indispensable tool connecting RI users and managers. The active engagement of the whole RI community is critical and, being at the centre of the project, will provide specifications and drive for the development. Through the use of a rating system and feedback loops on its contents, CatRIS can also serve as a bottom-up tool to facilitate the identification of potential gaps of European RI services. CatRIS will thus operate as an open “network of networks” branching out to RI communities across borders and beyond.

Keywords: research infrastructures,services,online catalogue,dynamic catalogue
Chemical Looping gAsification foR sustainAble production of biofuels (CLARA)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Alternative fuels and mobile energy sources
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Germany,Germany,Spain,Spain,Germany,Sweden,Sweden,Greece,Czechia,United Kingdom
Call: Development of next generation biofuels and alternative renewable fuel technologies for road transport (H2020-LC-SC3-2018-RES-SingleStage, 2018)
Start date: 2018-11-01
End date: 2023-04-30
Duration (months): 54.0
Total project cost (EUR): 4993805.0
EU funding (EUR): 4993805.0
Participants: 13
Project status: SIGNED

Biomass gasification is one of the most promising routes of biofuels production, which is a key element in reducing GHG emissions of the transport sector. Various process options have been investigated, implemented in different scales and proven to be functional. However, these processes lack economic and technological competitiveness in the current market environment. This issue is addressed by Chemical Looping Gasification (CLG) in this project. The innovative CLG process uses an oxygen carrier that is cycled between a fuel and an air reactor to provide oxygen for partial conversion of the biomass feedstock. One of the benefits of CLG is that high quality syngas with low nitrogen content can be produced without an air separation unit. Avoiding air separation has high potential to improve the overall conversion efficiency and the economic feasibility of biomass gasification. The aim of this project is to further develop CLG, which has by now only been investigated in lab-scale up to 25 kWth feedstock input, using a broad range of pilot plants up to a size of 1 MWth. Furthermore, concepts for pre-treatment of biogenic residues are developed to enable their use for CLG, and an innovative syngas cleaning concept is established for reduction of capital costs. The full process chain including biomass pre-treatment, gasification, syngas treatment, Fischer-Tropsch (FT) synthesis, and FT-wax hydrocracking is demonstrated for production of next generation sustainable liquid biofuels. The process is scaled up to industrial size using adequate models that have been validated at pilot scale. The risks of the technology are assessed considering economic, health, safety and social issues and possibilities for risk mitigation are suggested. A techno-economic assessment of the biomass-to-end–use chain is performed. Environmental impact is examined by life cycle analysis. The results are disseminated by a broad range of measures and exploitation plans are established.

Keywords: gasification,fluidized bed,chemical looping,biogenic residues,pre treatment,gas treatment,fischer tropsch synthesis,fuel upgrading,pilot testing