Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Food Systems in European Cities (FoodE)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive agri-food sector for a safe and healthy diet
Action type: Innovation actions
Countries involved: Spain,Germany,Spain,Italy,Italy,Germany,Germany,Italy,Romania,Slovenia,Norway,Norway,Belgium,Slovenia,France,France,France,Netherlands,Netherlands,Netherlands,Netherlands
Call: Innovative and citizen-driven food system approaches in cities (H2020-SFS-2019-1, 2019)
Start date: 2020-02-01
End date: 2024-01-31
Duration (months): 48.0
Total project cost (EUR): 7591314.95
EU funding (EUR): 7174252.38
Participants: 29
Project status: SIGNED

Diversity of European cities and regions creates barriers to the demonstration of systemic food-related innovative approaches valuable in so different contexts. Objective of FoodE is to accelerate the growth of citizen-led City/Region food systems (CRFS) by bringing local initiatives across Europe together, as well as co-developing and disseminating a range of tools - co-designed with academia, citizens, and food system start-ups - to ensure that the most up-to-date cross-sectorial knowledge is applied. Start-ups will also provide an in-depth understanding of the needs of the key stakeholders, making resilient citizen-driven food systems happen. The key challenge is then to aggregate the most sustainable models of CRFS and enable co-creation of innovative pilot experiences, fostering the health and wellbeing of European citizens. This challenge will be tackled by setting a co-created mechanism, based on Citizen Science and Responsible Research and Innovation principles, where public authorities, citizens, business actors and non-profit organisations share ideas, tools, best practices and new models, supporting cities in becoming innovative food hubs. The outputs of FoodE will impact on job creation, promotion of local economy, strengthening the role of local communities in complying with Sustainable Development Goals, as well as identifying and strengthening relations between the different actors of the food chain. The way used by FoodE to achieve this goals consists of the following steps: - Define an operational methodology for the assessment of CRFS. - Promote cross-pollination between European CRFS. - Contribute to increase access to affordable, safe and nutritious food. - Create a tool mobilising CRFS stakeholders in sustainability assessment. - Upscale the output to other EU cities.

Keywords: city,region food systems,citizen science,responsible research
European Knowledge repository for best agricultural practices (Eureka)

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: Coordination and support actions
Countries involved: Germany,Spain,Italy,Italy,Estonia,Belgium,Lithuania,Sweden,Greece,Belgium,Hungary,Hungary,Slovenia,Romania,France,France,France,Netherlands,Netherlands,Denmark,United Kingdom
Call: Reinforcing the EU agricultural knowledge base (H2020-RUR-2019-1, 2019)
Start date: 2020-01-01
End date: 2022-03-31
Duration (months): 27.0
Total project cost (EUR): 2539922.5
EU funding (EUR): 2539922.5
Participants: 23
Project status: CLOSED

EUREKA has brought together 21 multi-actors (MA) from 16 member states and 48 supporting organizations, to co-create a stronger and reinforced EU wide agricultural knowledge base by developing an open source e-platform, called the FarmBook. This two-sided market platform, like Facebook, will address the needs and improve the connections between two distinct user groups: MA project partners and MA end users (farmers, foresters, advisors, scientists, policy makers,…). To realize this, EUREKA will first analyze the MA project knowledge supply (outputs, activities, dissemination,…) to get a comprehensive data overview and distinguish do’s and don’ts on how to co-create and transfer knowledge in these projects. From this analysis best practices and recommendations will be formulated into a MA bible for the current MA community and for EIP-AGRI (+ SWG SCAR AKIS) to improve the design of future MA projects. Participatory activities with many MA projects during EUREKA will lay the foundation to build a more engaged MA project community. All available resources that can be used to share amongst the community and to shape and promote the EUREKA outputs will also be mapped. Second, EUREKA will analyze the knowledge demand from potential end users by profiling them and determining their needs, barriers and preferences across four macro-regions in Europe and across the different agricultural sectors. Third, EUREKA will integrate the results of the analysis on the knowledge supply & demand by consulting various expert working groups to co-create a ranking of MA projects and to select the most relevant and high impact agricultural MA project knowledge for the rural and scientific community. Fourth, the FarmBook will be built to present this knowledge in an accessible, standards-based, easily searchable and open source way. Fifth, the FarmBook will be optimized in several iterations with end-user feedback and will be promoted to end users and the MA project community across Europe.

Keywords: agriculture,forestry,end user,multi actor,data,knowledge e platform,open access
LUnga notte della ricerca - Lange NAcht der Forschung 2014 (LUNA 2014)

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: Italy
Call: European Researchers' Night (NIGHT) (H2020-MSCA-NIGHT-2014, 2014)
Start date: 2014-04-01
End date: 2014-10-31
Duration (months): 7.0
Total project cost (EUR): 189032.0
EU funding (EUR): 74032.0
Participants: 3
Project status: CLOSED

In the alpine province of South Tyrol (500,000 inhabitants) science and innovation do not have a long tradition, but as everywhere they are crucial for the future development of the economy. LUNA (LUnga Notte della ricerca – Lange NAcht der Forschung), which takes place every other year, is a great opportunity for the population to get in touch with scientists, to learn about research projects in the region and to have fun with scientific themes. The main organisers of LUNA are committed to creating a tradition for science and innovation in South Tyrol, organising different science events at planned intervals: LUNA every second year, science cafés every summer, activities for schools throughout the school year, etc. LUNA will be organised for the fourth time on 26 September in Bolzano/Bozen, the principal town of South Tyrol with 100,000 inhabitants. Once again a consortium comprising the European Academy of Bolzano/Bozen, the Free University of Bolzano /Bozen and Techno Innovation South Tyrol will be the main organisers with their headquarters used as the major venues. A further five to seven additional partners (businesses, museums and other research institutions) are expected to open their doors as well. The Night will thus transform Bolzano into an exciting science park, where children and adults will be able to have fun with science at up to ten different venues connected via a free shuttle service. An intensive Awareness Campaign will ensure that about 300,000 people will be aware of LUNA. We expect around 14,000 – 16,000 visitors. From 5 pm until midnight we will show our guests, how “Science makes you fly” – which is the main theme for this year’s event. People will be given the opportunity to participate in many different interactive presentations, games, quizzes, experiments and science performances. They will have the chance to talk, enjoy themselves, eat, drink and even dance with experts and scientists from many different discipline

Keywords: reseachers night,science event,edutainment,science communication,public recognition of researchers,promotion of science careers
SIADE SaaS: Spatial Decision Support System for Transportation Planning (SIADE SaaS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Spain
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-09-01
End date: 2020-02-29
Duration (months): 30.0
Total project cost (EUR): 1268901.5
EU funding (EUR): 888231.05
Participants: 1
Project status: CLOSED

The demand for passenger transport will grow 51% by 2050, triggering a market growth to €100.6 billion by 2019. Smart Mobility enabled by Smart Public transport is key for cities’ economy and development. Worldwide transport operators are implementing AFCs (Automated Fare Collection) for a better urban transportation experience, generating Big Data, but lacking passenger destination information. However, turning these data into knowledge is challenged by the difficulty to accurately describe transport network states and computational burden coming from processing Big Spatial Data to derive metrics of capacity utilization, punctuality, passenger volumes at stops, or travel patterns of different user groups. SIADE SaaS is a spatial decision support system for bus transportation planning and other transportation systems where user destination is unknown. It delivers the most complete and accurate OD matrix in the transport industry using GIS and AFCs data. Our current SW has already attracted the attention of several Transport Operators in 7 countries. We are making a strategic transition from offering consultancy services to software product commercialization on global scale, using a user driven improvement of SIADE based on an incremental methodology. The evaluation of the transportation network and the potential information provided by SIADE SaaS is multidimensional: social equity, service quality, network structure and environmental impact. It helps transit agencies plan per the actual demand, enabling economic and sustainable operations, while providing the population a service more adapted to its needs. For Terrain Technologies, innovation is a key point for growth. The company devotes an average of at least 50% of its resources to RD activities in an annual basis Our consolidated business plan predicts: up to 78 licenses will be sold in the period 2019-2023, resulting in accumulated revenues of over €7.8 million while also creating 25 new positions.

Keywords: transportation,saas,smart cities,origin destination matrix,mobility patterns
AI-driven enhancer design for gene therapy (EnhancerDesign)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Belgium
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-01-01
End date: 2022-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Gene therapy promises to become a durable clinical option for a whole range of diseases, including monogenic hereditary diseases, cancer and neurodegenerative disorders. However, the development of new gene therapy-based treatments strongly depends on regulatory drivers that provide cell-type specific expression of the transgene, at high enough levels, yet without causing genotoxicity. The aim of the ERC PoC proposal is to validate a state-of-the-art pipeline, called EnhancerDesign, to design small, strong and cell-type specific human enhancers for gene therapy that will improve specificity and safety, the two major bottlenecks in gene therapy applications. The strength of our EnhancerDesign approach lies in understanding and exploiting the enhancer code by using several state-of-the-art bioinformatics and experimental techniques. We have designed and now aim to validate our pipeline consisting of four parts (1) Single-cell multi-omics profiling; (2) training enhancer models to gain understanding of the enhancer logic; (3) design synthetic sequences in silico; (4) high-throughput enhancer testing. The project outcome will be twofold. Firstly, the different modules in our pipeline will be further optimized to make the entire pipeline operational to be offered as a service to, or as an asset for collaborative projects with gene therapy companies. Secondly, this project will deliver novel enhancers for a set of chosen cell types, for which no specific enhancers exist, or for which the available enhancers are either too large, too unspecific, or too weak. Altogether, the development of optimized enhancers by our EnhancerDesign pipeline will allow for improved and cell-type specific expression of a transgene, and has therefore the potential to provide patients with a safer treatment, increased QoL and new treatment options for diseases where gene therapy was not yet an option.

Keywords: single cell,deep learning,enhancer,transcription factor binding site,cell type,cell state
SurfacE structure-Activity-Relationship in atomically-defined, ultrathin film perovskite Catalysts (SEARCh)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2020-11-30
Duration (months): 30.0
Total project cost (EUR): 214828.2
EU funding (EUR): 214828.2
Participants: 2
Project status: CLOSED

Due to the intermittency of renewable electricity, conversion to chemical fuel is a necessity for the success of the transition to sustainable energy. A simple and attractive candidate for climate-neutral fuel is hydrogen, which can be produced directly through electrolysis. But substantial market penetration by commercial electrolysers has been hindered by the absence of high-activity, stable, inexpensive, and earth-abundant, catalytic materials. To develop and exploit these materials, a detailed understanding of the underlying relationships between catalytic activity and atomic-level surface structure is required, which has so far been unattainable due to often-case undefined surface areas and structures, as is the case for today’s record-performance electrocatalysts, i.e. Ni-Fe (oxy)(hydr)oxides. Therefore, epitaxial, atomically defined Ni-Fe-based perovskite thin film catalysts will be investigated with advanced operando characterization tools (including synchrotron-based scattering and spectroscopy, and scanning probe approaches) to achieve the following objectives: - Revalidate activity trends found for polycrystalline and amorphous structures, disseminating the influence from the bulk electronic structure (composition), bond lengths, crystallographic orientation and surface termination - Derive an atomistic understanding of the catalysis reaction and degradation mechanisms - Deduce design rules for beyond-state-of-the-art electrocatalyst materials and communicate them to the catalyst research and production communities for exploitation in “real-world” catalyst materials The results of SEARCh will thus contribute to the goals of development and deployment of low-carbon technologies in line with the EU’s Strategic Energy Technology Plan and the experienced researcher will receive training in innovative, cutting-edge techniques and attain transferable skills, benefitting from a multidisciplinary, international collaboration.

Keywords: renewable electricity,electrolysis,electrocatalysts,perovskites,epitaxial,thin films,surface structure,catalytic activity,stability
Achieving the BEnefits of SWIM by making smart use of Semantic Technologies (BEST)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Austria,Austria,Norway,Belgium,Hungary
Call: Information Management in ATM (H2020-SESAR-2015-1, 2015)
Start date: 2016-06-01
End date: 2018-05-31
Duration (months): 24.0
Total project cost (EUR): 643698.75
EU funding (EUR): 593128.75
Participants: 6
Project status: CLOSED

BEST will determine how semantic technologies can be used effectively to maximise the benefits of adopting SWIM, one of the major results of SESAR. SWIM offers an “information sharing” approach to ATM information management and its adoption offers advantages for better situational awareness and information management. But the full benefits of SWIM can only be achieved if advanced support can be provided for developing smart SWIM-based applications that manage information effectively, and semantic technologies offer a promising way to do that. BEST identifies a set of focused research questions about how to exploit semantic technologies in a practical way in an ATM setting, and will produce concrete results that help address these. The project will experiment with use of semantic technologies with several use cases, and build on that experience to produce guidelines (aimed at practitioners) about how to use ontologies in flexible ways to describe meta-data, and how these can be used in innovative yet scalable ways. BEST envisages use of multiple modular ontologies to maximise flexibility and applicability to specific application scenarios, but within a framework where compliance with the wider requirements of SWIM and the SESAR AIRM can be assured. This involves both technical compliance testing and governance aspects. While BEST is primarily a research-oriented project, it is also designed to ensure relevance to and suitability for ATM operations, through project activities and the involvement of a Reference Group of key stakeholders. The consortium includes a mixture of research and industrial partners (including one SME), all with extensive ATM experience. Several project partners have had leading roles in AIRM and SWIM work in SESAR, but some partners are new to SESAR and offer “new blood”. The consortium also provides leading expertise on semantic technologies. The project duration will be 24 months, with a requested funding of just under 600 K€.

Keywords: semantics,semantic technologies,ontologies,ontology engineering,scalability,airm,swim,governance,data distribution,data consistency
Development of an Ultra-Fast, Integrated, Certified Secure Quantum Random Number Generator for applications in Science and Information Technology (UFICS-QRNG)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2019-03-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The objective of this SE action is the development of an innovative quantum random number generator (Q-RNG). This device will represent an important shift forward in the current panorama of physical RNG. In fact, it will meet simultaneously three requirements: being Ultra-Fast, Integrated, Certified Secure. The UFICS-QRNG will be developed with an SE action that will last 24 months. The researcher, that has matured a relevant expertise in the field of QRNGs, will join the Quantum Information Group at the Toshiba Research Laboratories (TREL) based in Cambridge, UK. These laboratories are worldwide known for cutting edge research in Quantum Optics and Quantum Information. The project starting point will be a fast QRNG prototype, recently developed by TREL. During the action, the researcher will develop a theoretical model to certify the randomness of the generator and will implement an integrated hardware. The UFICS-QRNG will be characterized by an unprecedented level of security. Besides the theoretical model, which will account for all the side information sources that might weaken the generator unpredictability, the device will feature a self-testing protocol, for the continuous monitoring of the entropy. The hardware will be designed to be compatible with other systems and the compliant with the standards. Security, generation rate at Gigabit/s and the possibility of integration in servers and computers, will make the UFICS-QRNG suitable for a variety of applications in Science and Information Technology, which range from experiments of fundamental physics to simulation and cryptographic applications. In the latter case, the UFICS-QRNG will represent the best answer to the lack of physical RNGs able to substitute the unsecure pseudo-RNGs. Given the peculiarity of TREL, an industrial institution that produces high impact scientific works, the researcher will benefit of a unique training, with the possibility to develop a professional profile at the highest levels.

Keywords: qrng prng cryptography qkd quantum information quantum optics security unpredictability randomness simulations montecarlo