Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Inclusive Futures for Europe BEYOND the impacts of Industrie 4.0 and Digital Disruption (BEYOND4.0)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Bulgaria,Finland,Finland,France,Netherlands,United Kingdom,United Kingdom
Call: Research for inclusive growth: addressing the socioeconomic effects of technological transformations (H2020-SC6-TRANSFORMATIONS-2018, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 2999970.0
EU funding (EUR): 2999970.0
Participants: 9
Project status: SIGNED

BEYOND4.0 aims to help deliver an inclusive European future by examining the impact of the new technologies on the future of jobs, business models and welfare. We use a multidisciplinary research approach undertaken by a top-tier consortium with stakeholder engagement throughout the project. BEYOND4.0 has five objectives: 1. Provide new, scientific insight into technological transformation; 2. Provide new, scientific insight into company strategies dealing with technological transformation; 3. Examine the impact of technological transformation on: a. quality, content, and distribution of work; b. skill needs; c. education and training; d. value creation by companies; 4. Identify policy options for: a. fiscal policy (e.g. robot taxes); b. welfare policy (e.g. basic income); 5. Identify social investment approaches and tools for inclusive growth. BEYOND4.0 generates this by: 1. Building on state-of-the-art research and other EU projects, 2. Using innovative methods, and 3. Combining historical, EU-wide, regional and company level data. We generate three new outcomes: 1. Scientific understanding of new technology impact; 2. Diagnostic and developmental tools to lever technological opportunities; 3. Evidence-based support for social and competitive EU policy strategy. BEYOND4.0 carefully disseminates and valorises results. BEYOND4.0 addresses the general priorities of the H2020 Work Programme (2018-2020) ‘Europe in a changing world - Inclusive, innovative and reflective societies’. We will: 1. Better address challenges of the 4th Industrial Revolution in context of digitisation by providing alternative policy options; 2. Contribute to equitable, sustainable prosperity through scientific evaluations, co-creation and bottom-up solutions; 3. Contribute to UN’s Sustainable Development Goals 1, 2, 5, 8 and 9. In conclusion, we provide insights and measures that help address poverty, equality, decent work, inFormulating an alternative for a low road Industry 4.0. approach.

Keywords: workplace innovation,robotization,digitisation
Scalable and Secure Infrastructures for Cloud Operations (SSICLOPS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Future Internet: Software, hardware, Infrastructures, technologies and services
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Germany,Germany,Germany,Finland,Romania,Poland,Switzerland,Netherlands,United Kingdom,United Kingdom
Call: Advanced Cloud Infrastructures and Services (H2020-ICT-2014-1, 2014)
Start date: 2015-02-01
End date: 2018-01-31
Duration (months): 36.0
Total project cost (EUR): 6937123.0
EU funding (EUR): 6702748.0
Participants: 15
Project status: CLOSED

The SSICLOPS project will focus on techniques for the management of federated private cloud infrastructures, in particular cloud networking techniques (within software-defined data centres and across wide-area networks). Key deliverables from the project will include a meta data description language for workloads, resources and policies, a flexible scheduling system using meta data, workload-specific adaptations to TCP/IP stacks, and data center performance analysis tools. Addressing topics, such as dynamic configuration, automated provisioning and orchestration of cloud resources the SSICLOPS projects will investigate high-performance, vertically integrated network stacks for intra/inter-cloud communication and efficient, scalable, and secure intra/inter-DC and client-facing transport mechanisms. The project will design, implement, demonstrate, and evaluate three specific use cases, namely a cloud-based in-memory database, the analysis of physics experiment data, and the prototypical extension of network stacks for a telecom provider in the SSICLOPS testbed.

Keywords: cloud services
Rational Design of Soft Hierarchical Materials with Responsive Functionalities: Machine learning Soft Matter to create Soft Machines (SoftML)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 2499918.75
EU funding (EUR): 2499918.75
Participants: 1
Project status: SIGNED

Nature displays fascinating examples of self-assembled materials that reconfigure and respond to external stimuli, e.g. chameleons change color for camouflage, pine cones release seeds upon a change in humidity. Advances in colloid synthesis have resulted in a diversity of self-assembled nanostructures with interesting functional properties. These nanostructures are however passive! The aim of this project is to explore the new physics that emerges when static nanostructures are elastically coupled to a soft elastic matrix or hydrogel, e.g. nanoparticles with (cross-linked) ligands, core-shell microgel particles. These hydrogels can be actuated by pH, temperature, light, resulting in a (de)swelling of the gel and a reconfiguration of the nanostructure. Reconfigurable dynamic materials are interesting for applications, but their rational design remains a major challenge as it requires a detailed comprehension of the highly non-trivial coordination of dynamic behaviors of materials across different time and length scales. Using extensive simulations, coarse-graining and machine learning, I propose to unravel the microscopic origin of the structural and dynamic behavior of soft reconfigurable materials. I will build coarse-grained models at multiple levels to study the structure and properties of these soft materials. I will then investigate the dynamics and shape transformation kinetics of the nanostructure and hydrogel upon actuation. The final goal is to reverse-engineer using evolutionary algorithms new classes of soft responsive materials from the atomic scale by designing colloids that self-assemble at the mesoscale into large-scale structures, to the macroscopic scale by tailoring the shape-morphing properties. This research will produce unprecedented insight, novel simulation methods, and fundamental models for the rational design of soft responsive materials that arise from the hierarchical assembly of structures and their dynamic behaviors across scales.

Keywords: colloids,nanoparticles,self assembly,computer simulations
Development of a simple and rapid assay for early diphtheria diagnosis. (DIFTERIA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-03-01
End date: 2022-02-28
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: CLOSED

During 1990s, there was an epidemic of diphtheria in Russia and other countries of the former USSR affecting about 200, 000 people with 5000 deaths. Although diphtheria incidence in Russia has declined substantially, recent reports from several EU countries indicate circulation of toxigenic C. diphtheriae among migrants from Asia and Africa as well as children’s deaths among indigenous population. Toxigenic C. diphtheriae poses a serious risk for unvaccinated persons and persons with low level of immunological protection, the number of which in recent times in Europe has increased. The International system of quality control revealed poor state of laboratory diagnosis of diphtheria in EU countries, which means we are not prepared for the possible outbreaks. This is mostly due to the absence of simple, standard and reliable diagnostic methods. The leading element in the diphtheria laboratory diagnostic approach is a detection of the bacterial toxin. In this regard, it is proposed to develop non-apparatus immunochromatographic strip (ICS) test for diphtheria toxin (DT) indication. In addition a liquid selective medium for the clinical sample cultivation will be designed. A combination of the ICS test and the medium will represent a novel assay for early diphtheria diagnosis. The reagent kit will be commercially produced. The availability of simple, reliable and affordable ICS assay for DT detection will increase the accuracy of diphtheria diagnosis in EU and other countries and reduce the duration of its execution up to 6 hours (instead of 5-7 days as recommended by the WHO manual). The efficient early diphtheria diagnosis will enable timely initiation of anti-diphtheritic treatment that will save lives, prevent the development of complications (heart failure, paralysis), as well as stop the spread of the disease through initiation of preventive measures (vaccination and antibiotic prophylaxis) in case of disease outbreaks.

Keywords: diphtheria,early diagnosis,corynebacterium diphtheriae,corynebacterium ulcerans,diphtheria toxin,immunochromatographic assay,liquid nutrient medium
Science@Aveiro, General public and researchers – Closing the Gap. (Science at Aveiro)

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: Portugal,Portugal
Call: European Researchers' Night (NIGHT) (H2020-MSCA-NIGHT-2014, 2014)
Start date: 2014-06-01
End date: 2015-12-31
Duration (months): 19.0
Total project cost (EUR): 154125.0
EU funding (EUR): 154125.0
Participants: 2
Project status: CLOSED

It’s our intention to organize the 9th and 10th edition of the Researchers’ Night initiative – The Science@Aveiro, General public and researchers – Closing the Gap. We propose two events for 2014 and 2015, around the themes of “Materials” and “Light” respectively. Besides the different themes, this integrated edition will not forget the fact that in 2015 the Researchers Nigth’ initiative will celebrate their 10th anniversary. To celebrate that, in 2014 we will launch the “Competition 10th anniversary of Researchers’ Night”, involving categories on drawing, photography and video. This competition is on the theme “Research is everywhere” and it is dedicated to the general public but we expect more in impact at the students’ community. The location for both events will be the City of Aveiro. Aveiro is in the centre of an industrial spot, diversified in terms of sector of activity and one of the most dynamics in Portugal. Furthermore, Aveiro is known as the city of research and innovation, as a consequence of the projects that have been developed in different areas and to his Innovative University (Universidade de Aveiro). The broad aim of the Science@Aveiro event is to bring researchers closer to the Portuguese society and tourist present at the Aveiro City highlighting the researchers “ordinary character”. The target group for this activity is the large public without any distinction of social categories, educational level, gender, age, etc. Different subcategories like kids, teenagers, adults, teachers, parents, “ordinary people”, researchers, entrepreneurs, tourists, politicians are to be reached as parts of the general public. The Science@Aveiro project will be implemented by Universidade de Aveiro - Fábrica Ciência Viva Science Centre and Globaz, SA. With the support of Municipality of Aveiro, Association for Education and Exploitation of Aveiro Region and Group of Schools Aveiro.

Keywords: aveiro,portugal,university,researchers,public,students
Advanced Superlattice Infrared detectors for Space Applications (ASISA)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

In space, infrared detectors are used for many applications such as Earth observation, post-launch satellite tracking, space-object surveillance or climate monitoring. According to the Planck's law, cold object detection requires a material with a longer wavelength λ to address the Very LongWavelength InfraRed (VLWIR, λ > 12 μm) spectral domain. The current state-of-the-art includes the Mercury-Cadmium-Telluride (HgCdTe) material. Although, the HgCdTe technology is already well established and manufactured by many European companies, it suffers from poor uniformity, stability and operability at longer wavelength due to compositional issues caused by the strong dependence of the energy bandgap with the Cadmium mole fraction. Efforts have therefore been driven to develop alternative infrared materials such as the Type-II InAs/GaSb SuperLattice (T2SL) that can theoretically outperform the HgCdTe technology. Even though, the T2SL has proven to be a successful approach in the mid-IR and long-IR, extending the cut-off wavelength to the VLWIR range is a new challenge to take up. The VLWIR-T2SL technology will be developed in the newly-established Institute for Compound Semiconductor (ICS) laboratories at Cardiff University (CU). If successful, this fellowship will produce a real breakthrough in the field of infrared detectors. The VLWIR-T2SL technology has a strong industrial potential, the candidate will thus engage European collaborators in early stage to demonstrate a focal plane array. This will lead to a reliable route to commercialise devices through the newly-funded Compound Semiconductor Centre. This fellowship will leverage the large investments by the Welsh and UK government and CU in the general area of compound semiconductor. The candidate will have the managerial and technical support from Prof. Diana Huffaker, as well as staff members of ICS and the School of Physics and Astronomy.

Keywords: infrared detectors,superlattice,iii v material
The role of the glucocorticoid receptor in dopaminoceptive neurons in mitochondrial dysfunction and vulnerability to depression (MitoDyaD)

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: Life Sciences
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-05-01
End date: 2019-04-30
Duration (months): 24.0
Total project cost (EUR): 187419.6
EU funding (EUR): 187419.6
Participants: 1
Project status: CLOSED

Depression is considered as a common mental illness worldwide affecting around 350 million people. Chronic stress is a major risk factor for its development. Interestingly, individuals can differ in the way of coping with chronic stress and are either prone (vulnerable) or resistant (resilient) to develop depression. High anxiety-trait is a vulnerability factor to develop stress-induced depression. Furthermore, it was also linked with mitochondrial dysfunction in the nucleus accumbens and in the establishment of social hierarchies in rodents. These observations suggest an important role of mitochondria in the vulnerability to develop stress-induced depression. The glucocorticoid receptor that is activated upon stress was recently shown to regulate mitochondrial function and gene transcription. Our own data show that expression of the glucocorticoid receptor is altered in animals with high anxiety-trait correlating with the expression of several mitochondrial genes. Thus, our central hypothesis is that vulnerability to develop depression is caused by a glucocorticoid receptor-mediated dysfunction of mitochondria in the nucleus accumbens. This project will address this idea in the mouse model showing considerable individual differences in stress-induced psychopathology-like behavior. We will first examine the role of the glucocorticoid receptor in vulnerability to stress-induced depression by performing comprehensive behavioral studies. We will then evaluate the impact of the glucocorticoid receptor on mitochondrial function and structure. Lastly, we will apply a pharmacological approach aiming to mitigate stress-induced depression caused by physiological changes given by the glucocorticoid receptor. This will lead to the understanding of the contribution of the glucocorticoid receptor in the nucleus accumbens to define vulnerability and resilience to develop stress-induced depression, and might lead to novel therapeutics for counteracting stress-induced depression.

Keywords: stress,glucocorticoid receptor,depression,mitochondria,dopaminoceptive neurons
Bridging the gap: from Individual Behaviour to the Socio-tEchnical MaN (IBSEN)

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: Spain,Spain,Spain,Finland,Netherlands,United Kingdom,United Kingdom
Call: FET-Open research projects (H2020-FETOPEN-2014-2015-RIA, 2014)
Start date: 2015-09-01
End date: 2018-08-31
Duration (months): 36.0
Total project cost (EUR): 2663237.75
EU funding (EUR): 2663237.25
Participants: 7
Project status: CLOSED

Developing models of real-world societal scenarios and systems is a key topic in the research agenda of social sciences, but is hindered by the lack of controlled experimentation with large groups of people. IBSEN will provide a breakthrough by building a repertoire of human behaviour in large (1000+ persons) structured groups using controlled experiments. To that end, we will develop a novel setup for large groups of people that will provide an experimental protocol, the necessary software and analytical tools to allow us to deal with thousands of people at the same time. We will apply our setup to specific research questions, focusing on novel phenomenology that may arise in large systems as compared to typical smaller ones, to find the rules that govern human behaviour in those cases, including the influence of social context and individual identity on them. We will assess our approach by building a model of human interaction in groups based on the behavioural rules we have found. The project requires a high-degree of interdisciplinarity; accordingly, the team consists of physicists, economists, social psychologists, and computer scientists. On the other hand, this is a high-risk project, as the experimental design may prove unfeasible for really large systems and extracting meaningful data from the participants’ actions may not be possible. Notwithstanding, encouraging results in some pilot studies run by partners underpin the scientific feasibility of the concept and approach. If successful, researchers will be able to build on our findings to develop a human behaviour simulator, a technology providing a basis for socio-economic simulations that would radically change many fields, from robotics to economics, with technological and societal impacts, including policy-making in socially pressing issues. We will thus lay the foundations to kick start a new way of doing social science for the problems arising in a technologically highly connected society.

Keywords: complex sytems and networks,cooperation,coordination,market bubbles,human behavior
INNOVATION ASSOCIATE FOR RESEARCH, DEVELOPMENT, AND APPLICATION OF INTELLIGENT MODELLING FROM EARTH OBSERVATION DATA (AI-METHOD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2019-02, 2019)
Start date: 2019-10-15
End date: 2020-10-14
Duration (months): 12.0
Total project cost (EUR): 85625.0
EU funding (EUR): 85625.0
Participants: 1
Project status: CLOSED

The envisaged innovation of our company is the development, implementation, and commercialization of a local short- to medium-term atmosphere forecasting Software-as-a-Service platform for climate and energy forecasting applications based on original self-learning modelling technologies from high-resolved space-based earth observation data maintained in a Big Data platform. For validating and realising the full potential of the innovation a number of complex and specialized tasks have to be executed in preparation of full-scale implementation. To complement our resources, knowledge and skills in order to further strengthen the competitive advantage of our geo-forecasting solutions we are hiring an Innovation Associate in Intelligent Inductive Modeling for further development of current concepts and preparation of follow-up EU/ESA/national innovation and commercialization project proposals.

Keywords: climate forecasting,energy forecasting,big data,high performance computing,earth observation