Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Center for STEAM Education Research, Science Communication and Innovation (CSRC)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Germany,Italy,Cyprus,Greece,France,Denmark,United Kingdom
Call: Teaming Phase 1 (H2020-WIDESPREAD-04-2017-TeamingPhase1, 2017)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 399750.0
EU funding (EUR): 399750.0
Participants: 15
Project status: CLOSED

Establish in Cyprus a Science and Research Center to: a. Undertake competitive interdisciplinary research of excellence for the development of innovative tools and exhibits for Science, Technology, Engineering, Art and Mathematics (STEAM) Education and Science Communication. b. Promote science literacy and capacity building through informal STEAM Education using interactive Science Technology and Engineering (STE) exhibits, demonstrations and contact with scientists. c. Contribute towards a Responsible Research and Innovation (RRI) culture through open schooling, Science Communication and outreach activities. d. Provide teacher professional training for integrating in-house developed ICT tools in formal STEAM Education and promote endorsement of new STEAM educational strategies and curricula. e. Serve as a hub to communicate and disseminate to public and industry innovative technology research outcomes and evidence-based practice to policy makers and provide a platform for entrepreneurship for supporting public engagement in entrepreneurship and start-up companies. Research excellence and innovation will be attained through “Teaming” collaborations, exchange visits and networking with EU Centers of Excellence in ICT research and STEAM Education, and with renowned Science Centers and the public and private universities of Cyprus. The Center will work with academics, expert in various fields, and employ staff and researchers with expertise in Computer Science and ICT, STEAM Education and Science Communication. An entrepreneurship unit hosting a prototyping platform for innovation will be used for dissemination of research outcomes, advising innovative patents, promoting start-ups and establishing links with the industry. The Center will be a unique landmark with a positive long term impact on innovation, Cyprus economic growth and Education, in accordance with “Europe 2020”, and adhering to the objectives of the Teaming Phase I Call.

Keywords: science education,research,steam education,ict tools,interactive media,science center,entrepreneurship,innovation
Cognibotics: driving the revolution in accurate robotic machining (AROBMACH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2019-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Cognibotics develops and plans to commercialize Millbot – an add-on solution to be used in industrial robots that enables them to reach the minimum accuracy (0.2 mm). The accuracy of 0.2 mm is considered the threshold for wide adaptation of industrial robots in metal machining. By commercializing a unique solution that enables to combine the advantages of CNC machine systems (high accuracy) and industrial robots (low-price, small size, great reachability and flexibility, better cycle time) Cognibotics will position itself as a game changer and will create its own niche on the market. Cognibotis is a spin-off company from Lund University. We have been present in the robot industry since 2014 providing consulting services and technical discussions with leading robot manufacturers such as ABB, Comau and KUKA. During these years, we have gained an extensive knowledge about the market and its needs as well as built a considerable network of partners and KOLs. The collected knowledge, experience and contacts within the industry will be the base for the successful commercialisation of Millbot. In the Phase 1 project, we will define the business plan that will guide our commercialization activities of Millbot - the company´s first own product. In order to maximise the commercial potential of Millbot (as it will be an add-on solution that can be used in multi-brand industrial robots), it will be initially sold to the robot system integrators. Due to an extremely intensive market competition, the integrators are actively looking for technical innovations that will enable them to gain a competitive advantage. Our solution will also provide the EU-added value by creating the possibility for the European industrial robot manufacturers to grow rapidly and win competition over the Asian players. Millbot has a great potential to positively impact productivity and competitiveness of the EU:s industry and increase number of the high-qualified jobs within the EU.

Keywords: accurate robotic machining,industrial robots,cnc machine systems,accuracy,metal machining,low cost machining
The Mass Politics of Disintegration (DISINTEGRATION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-05-01
End date: 2025-04-30
Duration (months): 72.0
Total project cost (EUR): 1998626.0
EU funding (EUR): 1998626.0
Participants: 1
Project status: SIGNED

In the past few years, there has been a growing popular backlash against international institutions. Examples include the 2015 Greek bailout referendum, the 2016 Brexit referendum, or the 2016 election of a US President seemingly determined to withdraw US support from various international treaties. The implications of these mass-based disintegration efforts reach far beyond the countries in which they originate. First, the disintegration process is shaped by how remaining member states respond to one member’s bid to unilaterally change or terminate the terms of an existing international agreement. Second, mass-based disintegration bids pose considerable political contagion risks by encouraging disintegrative tendencies in other countries. Unfortunately, our theoretical tools to understand such international disintegration processes are underdeveloped. DISINTEGRATION therefore conducts a broad, systematic, and comparative inquiry into the mass politics of disintegration that pays particular attention to reactions in the remaining member states. It explores when and how one country’s mass-based disintegration experience encourages or deters demands for disintegration in other countries, how these contagion effects are transmitted through domestic elites and domestic discourse, and how the remaining member states ultimately respond during disintegration negotiations. It undertakes large-scale multi-method data collection that exploits the research opportunities offered by two ongoing mass-based disintegration processes: the Brexit negotiations and an upcoming Swiss referendum aimed at terminating a Swiss-EU bilateral treaty. DISINTEGRATION’s main objective is to develop a much-needed theory of mass-based disintegration that helps us understand the transnational dynamics that unfold between governments, political elites and the mass public when one member state attempts to unilaterally withdraw from an international agreement on the basis of widespread popular support.

Keywords: political science,disintegration,public opinion,referendums,international cooperation,european union,euroscepticism,international negotiations,contagion,trade offs,international organization
Designing InnoVative plant teams for Ecosystem Resilience and agricultural Sustainability (DIVERSify)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Austria,Germany,Switzerland,Sweden,Sweden,Palestine, State of,Greece,France,Denmark,Portugal,United Kingdom,Kenya,Lebanon,Denmark,United Kingdom,Portugal,United Kingdom,United Kingdom,United Kingdom
Call: Teaming up for good: Exploiting the benefits of species diversity in cropping systems (H2020-SFS-2016-2, 2016)
Start date: 2017-04-01
End date: 2021-03-31
Duration (months): 48.0
Total project cost (EUR): 4999363.5
EU funding (EUR): 4999363.5
Participants: 26
Project status: CLOSED

DIVERSify is a consortium of scientists, farmers, advisors, breeders and SMEs to co-construct a new approach and tools to investigate the mechanisms underpinning the benefits associated with cropping plant teams, and the crop traits and agronomic practices promoting these benefits. Focussing on arable and grassland systems, the six objectives are to: 1) identify current best practice for plant teams through participatory engagement with agricultural practitioners and scientific literature; 2) determine the mechanisms promoting positive plant-plant and plant-environment interactions using ecological principles to define experimentally the underpinning processes; 3) devise improved plant teams and identify potential breeding targets with a trait-based approach and novel tool to select crop types and deployment strategies that promote performance; 4) collaborate with stakeholders in European pedo-climatic regions and beyond to validate and demonstrate plant teams and devise practical crop management prescriptions; 5) construct a plant teams decision aid for practitioners by collating trait and agronomy data in a framework that can be interrogated for information on crop selection and management in different regions; and 6) work with stakeholders and RUR-6 for participatory knowledge exchange between different actors, EU policy and wider society through an appropriate and targeted array of communication media and activities. The co-innovation approach will allow tacit and scientific knowledge to be applied to real-world challenges in plant team cropping for developing practical solutions, in the form of teams with improved productivity, pest and disease control and environmental benefits. Knowledge exchange on crop traits, management and the decision aid will have impact on farmers, advisors, breeders, science and policy, improving awareness and overcoming barriers to uptake of plant teams for yield stability, diversification, sustainability and resilience.

Keywords: agroecology,intercropping
Quantum driven cybersecurity - advanced security for the Internet of Things (Crypto-Inside)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-05-01
End date: 2022-04-30
Duration (months): 24.0
Total project cost (EUR): 2391718.75
EU funding (EUR): 1674203.13
Participants: 1
Project status: CLOSED

According to Cisco there will be 500 billion devices connected to the Internet by 2030. Despite this huge potential, growth is hampered by user fears of inadequate security. The biggest quoted barrier to IoT growth in businesses is security, and with good reason. IoT devices are often the weakest point in any network and the estimated economic cost of IoT attacks to the top five European economies is €3.8 billion each year. There is an urgent industry need for a robust, end-to-end security solution that can uniquely identify IoT devices and handle the major challenges in registering and managing billions of IoT devices. In response to this need, Crypto Quantique has developed a unique Key Provisioning Architecture, underpinned by a true Physically Unclonable Function (PUF) that exploits the phenomenon of quantum tunnelling to generate unforgeable cryptographic keys to secure data communications. Together, these provide the most robust End-to-End security possible, eliminating user’s security fears and unlocking the latent potential in the IoT market. Our technology can provide an unforgeable identity at the device level, elimination of costs associated with key injection and provisioning and bill of materials, and enable IOT enterprises to rapidly onboard and control their own devices via cloud service providers. Our solution is: - Fully integrated and end-to-end (Key Provisioning Architecture + hardware root of trust). - The end-user runs their own security management – there is no need to devolve trust and security to third parties - Cloud platform, hardware and microcontroller independent. By licensing our quantum PUF IP and monetising API calls to verify identity, we will create a €33 p.a. opportunity by 2025, creating 70 new European jobs.

Keywords: key management system,root of trust
Investigation and modification of atypical dynamic brain activity underlying perceptual inflexibility of autism spectrum disorders (AutismRigidPercept)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Perceptual and cognitive inflexibility is considered to underlie the repetitive and restricted behaviours of autism spectrum disorder (ASD). However, despite its severe effects on daily life of autistic individuals, the biological basis of these ASD core symptoms remain little known. In this project, I will investigate the neural mechanisms behind this fundamental mental inflexibility of ASD by examining neural activity during bistable perception, which is thought to be suitable for evaluation of such mental and perceptual rigidity. To detect neural responses from the brains of autistic individuals during such fluctuating perceptual experience, I will empirically calculate the energy landscape of brain activity from non-invasive measurements of brain activity and numerically simulate activity transition on the energy surface. Given the explanatory power of this method demonstrated by my preliminary data, this project is expected to provide the first empirical evidence for autistic impairments in dynamic brain activity that underlies the mental inflexibility of ASD. Furthermore, successful completion of this main project will provide insight for a novel non-invasive intervention protocol to mitigate such autistic cognitive rigidity, which will be subsequently tested within this research project. I believe that this project has the potential to provide a novel integrative perspective to understand autistic cognitive inflexibility and presents a promising approach to modify these relatively overlooked symptoms.

Keywords: autism spectrum disorders,energy landscape,bistable perception,pairwise maximum entropy model,ising model,resting state brain activity,tdcs
A mature Quokka for everyone – advancing the capabilities and accessibility of numerical solar cell simulations (Quokka Maturation)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-02-01
End date: 2018-01-31
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

This project is placed in the field of photovoltaics (PV), which is on the eve of competing with conventional electricity generation on a purely economic basis, and is able to effectively tackle ecologic and socio-economic problems caused by the existing energy system based on fossil fuels. It aims to help accelerating the R&D efforts into silicon solar cells, the dominating PV technology with a persistent market share of around 90%. Basis for this forms “Quokka”, a multidimensional silicon solar cell simulation tool recently developed by the applicant. Quokka is specifically designed for silicon solar cell conditions, which allows for valid simplifications to the general semiconductor modelling approaches, and sets it apart from generally more powerful commercial software and other free tools in terms of computational speed and ease of setup. Since its release for free early 2013, Quokka sees a rapid increase of usage amongst all major PV research institutes and manufacturers. Within this project, the applicant will grow Quokka from its (capable) childhood to a mature simulation tool, being supported by the world-leading expertise in solar cells of the host institution, Fraunhofer ISE. One measure consists in coding optimized numeric routines to efficiently handle much larger mesh sizes, e.g. enabling the unprecedented and very useful capability of simulating a full size silicon solar cell. Furthermore, several physical models of highest future relevance will be identified, experimentally validated and added to Quokka’s capabilities. Accessibility to PV scientists, engineers and students in Europe and worldwide forms a key point of this project, and will be achieved by publishing underlying algorithms and validation cases, and by continued free hosting, integration and documentation on the leading web-portal for solar cell modeling. This project will establish nothing less than the new standard for silicon solar cell simulation tasks, accessible for everyone.
Engaging the EGI Community towards an Open Science Commons (EGI-Engage)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Spain,Spain,Italy,Indonesia,Italy,Austria,Austria,Germany,Germany,Spain,Italy,Germany,Taiwan, Province of China,Switzerland,Finland,Bulgaria,Greece,Greece,Poland,Slovakia,Sweden,Sweden,Sweden,Malaysia,Switzerland,Türkiye,Belgium,Croatia,Hungary,Sweden,Thailand,Greece,France,France,Czechia,Czechia,Netherlands,Netherlands,United States,Netherlands,Philippines,United Kingdom,Portugal,Portugal
Call: Managing, preserving and computing with big research data (H2020-EINFRA-2014-2, 2014)
Start date: 2015-03-01
End date: 2017-08-31
Duration (months): 30.0
Total project cost (EUR): 8650001.5
EU funding (EUR): 8000000.0
Participants: 60
Project status: CLOSED

Over the last decade, the European Grid Infrastructure (EGI) has built a distributed computing and data infrastructure to support over 21,000 researchers from many disciplines with unprecedented data analysis capabilities. EGI builds on the European and national investments and relies on the expertise of EGI.eu - a not-for-profit foundation that provides coordination to the EGI Community, including user groups, EGI.eu participants in the EGI Council, and the other collaborating partners. The mission of EGI-Engage is to accelerate the implementation of the Open Science Commons vision, where researchers from all disciplines have easy and open access to the innovative digital services, data, knowledge and expertise they need for their work. The Open Science Commons is grounded on three pillars: the e-Infrastructure Commons, an ecosystem of key services; the Open Data Commons, where any researcher can access, use and reuse data; and the Knowledge Commons, in which communities have shared ownership of knowledge and participate in the co-development of software and are technically supported to exploit state-of-the-art digital services. EGI-Engage will expand the capabilities offered to scientists (e.g. improved cloud or data services) and the spectrum of its user base by engaging with large Research Infrastructures (RIs), the long-tail of science and industry/SMEs. The main engagement instrument will be a network of eight Competence Centres, where National Grid Initiatives (NGIs), user communities, technology and service providers will join forces to collect requirements, integrate community-specific applications into state-of-the-art services, foster interoperability across e-Infrastructures, and evolve services through a user-centric development model. The project will also coordinate the NGI efforts to support the long-tail of science by developing ad hoc access policies and by providing services and resources that will lower barriers and learning curves.

Keywords: european grid initiative,open science commons
Cold atom-semiconductor quantum interface (3-5-FIRST)

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: Switzerland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 187419.6
EU funding (EUR): 187419.6
Participants: 1
Project status: CLOSED

A group III/V semiconductor quantum dot will be interfaced with an ensemble of ultracold alkali atoms (first group). This interface will allow to combine efficient single photon generation in quantum dots with the excellent properties of cold atom quantum memories to build a key element for future high-speed quantum networks. Semiconductor quantum dots have been developed into one of the best single-photon sources, providing single-photon generation on demand at a high rate and with high spectral purity. Independently, ultracold atoms have emerged as excellent quantum memories, providing single-photon storage with high efficiency and long lifetime. Using a new type of quantum dot that emits single photons at a wavelength compatible with rubidium atoms and a new broadband quantum memory scheme, we will directly interface these two systems for the first time. A single photon emitted from the quantum dot will be stored in the atomic ensemble and retrieved again on demand, realizing a key element of a quantum network. These achievement, which constitutes the primary goal of this project, wil form the basis for future experiments where the system will be used to create entanglement between two atomic ensembles and ultimately between the atoms and the quantum dot spin. These experiments will establish a new technology for quantum communication and distributed quantum computation, combining high bandwidth, high efficiency, and long storage time.

Keywords: ultracold atoms,quantum dot,single photon,quantum memory,quantum network