Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Development The Zero Waste Electronic Market (ZWEM) For Industrial Equipment (ZWEM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Carbon 350 Ltd and its forthcoming Electronic Platform: The Zero Waste Electronic Marketplace (ZWEM) is being developed to exploit the potential for greenhouse gas reductions available from the identification, resale and reuse of industrial equipment. The key innovations with ZWEM are the Asset Platform (AP) and the Asset Marketplace (AM) and how one feeds into the other. The Zero Waste electronic Marketplace (ZWEM) will initially focus on the Oil and Gas Industry, promoting the identification, specification, reclamation, econditioning and delivery of industrial equipment previously used on North Sea Oil Rigs, along with a calculation of emission reductions achieved through the process. It is envisaged that the ZWEM will scale its operations across multiple industry sectors worldwide in due course.

Keywords: zero waste economy,circular economy
Quantitative brain network biomarkers for patient-specific diagnostics in idiopathic generalized epilepsy (NETBIO-GE)

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: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Epilepsies are common and highly disabling diseases characterised by recurrent seizures. They constitute a relevant health problem: ~2 million adults suffer from active epilepsy in Europe, leading to significant direct and indirect costs (estimated to be ~14 billion euro (2010)). The scientific objective of this fellowship, to be carried out at the Division of Neuroscience at King's College London and the Centre of Predictive Modelling in Health Care of the University of Exeter, is to develop a novel type of diagnostic biomarker for idiopathic generalised epilepsies (IGE), an important group of syndromes that affects 25-30% of patients, particularly young adults. This will be achieved by conducting a cross-sectional case-control study that will use advanced quantitative neuroimaging techniques to measure alterations of brain network connections in IGE patients and healthy controls, and machine-learning algorithms to (1) classify patients with different seizure types according to these alterations, (2) predict their seizure risk, as assessed with long-term electroencephalography (EEG), and (3) model the effect of network disruption on brain dynamics, using computational modelling. The educational objective is to equip the fellow with the skills needed to become an independent clinical scientist in epileptology. This will be achieved through a comprehensive clinical and scientific teaching programme that will include: (1) part-time participation in clinical rounds and clinical long-term EEG monitoring of complex epilepsy, (2) training in the neuroanatomy and quantitative measurement of white matter connections of the human brain,(3) training in computational neuroscience, and (4) courses in scientific writing and project management. This programme is expected to broaden and diversify the fellow's skills, strengthen the ties between the cooperating research centers and yield novel insights that might help improve clinical management of a highly relevant disease group.

Keywords: idiopathic generalised epilepsy,diffusion imaging,quantitative magnetic resonance imaging,machine learning algorithms,generative modelling of brain dynamics
European Direction in GEOSS Common Infrastructure Enhancements (EDGE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Coordination and support actions
Countries involved: France
Call: GEOSS web portal (H2020-IBA-SC5-GEOSS-2017, 2017)
Start date: 2017-10-01
End date: 2020-05-31
Duration (months): 32.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

As mentioned in the GEO Strategic Plan 2016-2025, global environmental change is one of the primary challenges of humankind, even more so today than in 2003, when governments and international organisations committed to a vision of a future wherein decisions and actions for the benefit of humankind are informed by coordinated, comprehensive and sustained Earth observations. The establishment, in 2005, of the Group on Earth Observations, and the creation of the Global Earth Observation System of Systems (GEOSS), was a first concrete response to this challenge. EDGE, short for European Directed GCI Enhancements, is a EU funded project that will provide a further European key contribution to GEOSS, evolving its main common infrastructure elements, the GEOSS Portal (implemented and operated by the European Space Agency - ESA-ESRIN) and the GEO Discovery and Access Broker (implemented and operated by the Italian Research Council - CNR-IIA), recognizing the user centrality – and as such the challenges these users are facing – as the leitmotiv of these evolutions. Engaging the user communities, better understanding their needs, improving the user experience delivering solutions in response to the actual user requirements, advocating the benefits of GEOSS, raising interest and awareness amongst a comprehensive community of users are the main objectives of the project. There will be close collaboration with GEO flagships and initiatives as well as with communities identified in ESA initiatives like the Thematic Exploitation Platforms. The project will link with major international initiatives like Copernicus and CEOS and will consider the latest Ground Segment operations concept. Coordination with the GEO secretariat, the relevant foundational tasks and all relevant GEO stakeholders should guarantee the success of the project.

Keywords: geoss,common infrastructure,portal,discovery and access broker,enhancements
Mobilising the Arts for an Inclusive Digital Transformation (ARTSFORMATION)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Ireland,Belgium,Greece,Norway,France,Netherlands,United Kingdom,Denmark
Call: Societal challenges and the arts (H2020-SC6-TRANSFORMATIONS-2019, 2019)
Start date: 2020-04-01
End date: 2023-09-30
Duration (months): 42.0
Total project cost (EUR): 2999323.06
EU funding (EUR): 2998838.75
Participants: 10
Project status: SIGNED

Thirty years ago, the internet, social media and smartphones had not been invented. Yet a generation later, almost every facet of our individual, public and -now- online life are dominated by the fast-pacing digital transformation. Last year we saw the privacy and data of millions of social media users compromised with little to no accountability for those responsible, national elections influenced by users in different states, news outlets struggling to convince readers of facts, and the European Union taking proactive measure to protect the data privacy of its citizens in its first transnational regulatory action. Yet, the digital literacies and capabilities necessary for citizens to thrive in a digital society and act as responsible and effective participants, are unequally distributed across the European cultural, economic and social strata, with the public sphere consequently rapidly dissolving. ARTSFORMATION will respond through research, innovation and applied artistic practice to these societal challenges, by equitably developing the capacity of artists and citizens alike -including those from geographically remote, socio-economically excluded minority, refugee and migrant backgrounds- to respond cohesively in making their communities and groups resilient and adaptive in the 4th Industrial Revolution.

Keywords: digital transformation,artificial intelligence,future of work,democracy in crisis,arts based methods
Old crops for new insights: agricultural systems of broomcorn and foxtail millet cultivation in Iberia (MILLET)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-10
End date: 2024-01-09
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

In the middle of the second millennium BC, the spread of two new Asian crops (broomcorn and foxtail millet) throughout Europe led to major socio-economic changes. However, despite its abundance in archaeological sites, we know very little about its cultivation techniques and uses. Millets can be traced through multiple archaeological approaches (seeds, phytoliths, biomolecular markers) providing great potential for their investigation. In order to understand their importance in agricultural systems this project aims to produce new evidence from modern and archaeological samples from western Europe. To provide innovative perspectives, the project will focus on an interdisciplinary approach that combines ethnobotany, archaeobotany, stable isotopes and experimental agriculture to reconstruct cultivation techniques and environmental constraints. Combining stable carbon and nitrogen isotope values with functional weed ecology – an approach pioneered at Oxford – will allow detailed reconstruction of growing conditions and production regimes. The fellow will receive training in these techniques, which will enable comparison between present-day millet-growing systems and archaeobotanical assemblages from 24 sites in the Iberian peninsula. Determining the agroecology of millet cultivation will provide a fresh perspective on current theories regarding their adoption in late prehistory and will contribute to major advances in the study of past and present-day farming systems. The results will also articulate with work on climate change, food, genetic diversity and sustainability associated with traditional knowledge, placing this research at the forefront of the current scientific context of agrarian studies.

Keywords: ancient agriculture,isotope analysis,weed functionality ecology,ethnobotany,archaeobotany,experimental farming,europe
Chromatin function in DNA Double Strand breaks repair: Prime, repair and restore DSB Inducible via AsiSI (DIvA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: France
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-07-01
End date: 2020-12-31
Duration (months): 66.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: CLOSED

Among the types of damage, DNA Double Strands Breaks (DSBs) are the most deleterious, as illustrated by the variety of human diseases associated with DSB repair defects. Repair of DSB into the chromatin context raises several questions that we aim to address in this proposal. Firstly, it is likely that the chromatin environment where a break occurs influences the choice of repair pathway. Since the different DSB repair mechanisms can lead to different "scar" on the genome, further studies are required to elucidate how chromatin structure regulates the targeting of DSB repair machineries. Secondly, DNA packaging into chromatin hinders detection and repair of DSBs and many chromatin modifications were recently identified as induced around DSBs to facilitate repair. However, a complete picture of the chromatin landscape set up at DSB, and more specifically the set of histone modifications associated with each repair pathway ("repair histone code") is still awaited. In addition, whether and how damaged chromosomes are reorganized within the nucleus is still unknown. Finally, once repair has been completed, the initial chromatin landscape must be faithfully restored in order to maintain epigenome stability and cell fate. Using an experimental system we recently developed (called DIvA for DSB Inducible via AsiSI), that allows the induction of multiple sequence-specific DSBs widespread across the genome, we propose to investigate these uncovered aspects of the relationship between chromatin and DSB repair. By high-throughput genomic and proteomic technologies, we will try (i) to understand the contribution of chromatin in the DSB repair pathway choice (PRIME), (ii) to describe more thoroughly the chromatin remodeling events and the spatial chromosomes reorganization, that occur concomitantly to DSB to promote adequate repair (REPAIR), and (iii) to elucidate the processes at work to restore epigenome integrity after DSB repair (RESTORE).

Keywords: chromatin,dna double strand break repair,chip seq
MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling (MATERIALIZABLE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Austria
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-02-01
End date: 2022-01-31
Duration (months): 60.0
Total project cost (EUR): 1497730.0
EU funding (EUR): 1497730.0
Participants: 1
Project status: CLOSED

While access to 3D-printing technology becomes ubiquitous and provides revolutionary possibilities for fabricating complex, functional, multi-material objects with stunning properties, its potential impact is currently significantly limited due to the lack of efficient and intuitive methods for content creation. Existing tools are usually restricted to expert users, have been developed based on the capabilities of traditional manufacturing processes, and do not sufficiently take fabrication constraints into account. Scientifically, we are facing the fundamental challenge that existing simulation techniques and design approaches for predicting the physical properties of materials and objects at the resolution of modern 3D printers are too slow and do not scale with increasing object complexity. The problem is extremely challenging because real world-materials exhibit extraordinary variety and complexity. To address these challenges, I suggest a novel computational approach that facilitates intuitive design, accurate and fast simulation techniques, and a functional representation of 3D content. I propose a multi-scale representation of functional goals and hybrid models that describes the physical behavior at a coarse scale and the relationship to the underlying material composition at the resolution of the 3D printer. My approach is to combine data-driven and physically-based modeling, providing both the required speed and accuracy through smart precomputations and tailored simulation techniques that operate on the data. A key aspect of this modeling and simulation approach is to identify domains that are sufficiently low-dimensional to be correctly sampled. Subsequently, I propose the fundamental re-thinking of the workflow, leading to solutions that allow synthesizing model instances optimized on-the-fly for a specific output device. The principal applicability will be evaluated for functional goals, such as appearance, deformation, and sensing capabilities.
Services in Support for Business and Innovation in Croatia - Key Account Management (SSBI-CRO-KAM3)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Croatia,Croatia,Croatia,Croatia,Croatia
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 46312.5
EU funding (EUR): 46312.0
Participants: 6
Project status: CLOSED

This action will establish and provide the innovation support services addressing in general Croatian SMEs with significant innovation activities and in particular the beneficiaries of the SME instrument. This action will provide continuation of the SSBI-CRO-KAM-2 proposal which is currently implemented under the remit of H2020 In particular defining innovation support packages for: • Key Account Management (KAM) of successful SME Instrument applicants to identify bottlenecks to creation of economic impact in companies benefiting from grants by Horizon 2020, • Enhancing client SME’s capacity to manage innovation processes increasing their efficiency and effectiveness. Project partners UniSt, STEPRI, TPV, Tera and HAMAG-BICRO will each individually provide number of service packages according to the analysis of regional needs (regional coverage, number and readiness of clients). Envisaged outcome of this action is to provide services to SMEs in 2017-2018, including all beneficiaries of support under the Horizon 2020 SME instrument.

Keywords: innovation,h2020,sme instrument
Multi-modal, multi-scale retinal imaging (MERLIN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Austria,Spain,France,France,Netherlands,Denmark
Call: Photonics KET 2017 (H2020-ICT-2017-1, 2017)
Start date: 2017-12-01
End date: 2021-08-31
Duration (months): 45.0
Total project cost (EUR): 5678335.0
EU funding (EUR): 4867660.0
Participants: 7
Project status: CLOSED

The ambition of the MERLIN project is to improve in-depth diagnosis and therapeutic follow-up of diseases that impact the eye’s retina. To do so, the MERLIN partners will deliver a novel medical imaging device able to detect pathological alterations in the retina with highly enhanced sensitivity and specificity. The medical applications of this device encompass a wide range of retinal pathologies, including age-related macular degeneration (AMD), as well as chronic vascular conditions, including diabetes. AMD and diabetic retinopathy (DR) are the leading cause of blindness worldwide in people over 55 years of age. Such diseases slowly develop at the microscopic scale in the retina. Using current imaging techniques, it is difficult to detect them at early stage, and it often takes months to assess the effects of treatments. These limitations hinders both the clinical management of patients and the investigation of new therapies. In order to overcome these issues, the device developed in MERLIN will for the first time enable doctors to examine the retina with multiple imaging modalities at both the macroscopic and microscopic scales. Modalities will include ultrafast scanning laser ophthalmoscopy (SLO), optical coherence tomography (OCT) and OCT angiography (OCT-A), while ultrahigh resolution will be provided by adaptive optics technology. This unique combination will reveal previously invisible cellular and microvascular retinal detail in 3 dimensions. The project partners will also develop advanced image processing software for the visualization and quantitative analysis of microscopic structures, and conduct experimentations to optimize and validate performance in AMD and DR patients. As the feasibility of this diagnostic approach has previously been demonstrated in another European R&D project (FP7 FAMOS, 2012-2017), MERLIN will translate the technology from a preexisting laboratory prototype to a nearly commercial device usable in clinical trials.

Keywords: optical coherence tomography,scanning laser ophthalmoscope,retinal camera,adaptive optics,age related macular degeneration,diabetic retinopathie,early diagnosis
DIgital TEChnologies as an enabler for a conTinuous transformation of food safety system (DiTECT)

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: Research and Innovation actions
Countries involved: Ireland,Italy,Ireland,Cyprus,Greece,Greece,China,Greece,Greece,Switzerland,Greece,Greece,France,Czechia,Netherlands,United Kingdom,Denmark
Call: Integrated approaches to food safety controls across the food chain (H2020-SFS-2019-2, 2019)
Start date: 2020-11-01
End date: 2024-04-30
Duration (months): 42.0
Total project cost (EUR): 4098672.5
EU funding (EUR): 4098671.5
Participants: 35
Project status: SIGNED

"DiTECT will develop an integrated framework for real-time detection, assessment, and mitigation of biological, chemical and environmental contaminants throughout the food supply chain. Bringing together research, industrial and food authority partners representing the agro-food industry in the EU and China, DiTECT aspires to establish the foundation for future food safety monitoring platforms, through the development of a standards-based, modular, Big Data-enabled platform, capable of accurately predicting food safety parameters of a given food product based on data collected in real-time via cost-efficient sensors, at crop, grain storage, livestock and finally in the food supply, incorporating blockchain processes. DiTECT integrates multidisciplinary research teams from fields such as microbial and spectroscopic fingerprinting technologies; emerging ICT-based food tracing systems; signal analysis and data mining. Microbial profiling will be attained via conventional microbiological analyses in tandem with advanced molecular methods (e.g., NGS-based metagenomics), while spectroscopic profiling will be based on spectral data generated using appropriate rapid, non-invasive methods and sensor devices. DiTECT recognizes that current food-chains are lacking a complete snapshot view of food safety at the crop/livestock and finished product levels, and so foresees the development of a cloud-enabled storage system for all data corresponding to different insights of product-specific safety aspects, to be integrated into. The novel food safety services will be demonstrated in four (4) real-world Pilots with the active engagement of 21 EU and 13 CN partners, using real datasets to validate efficiency improvements. The carefully structured work plan embodies a “multi-actor” approach to prototype and validates a ready-for-take-up framework of significant exploitation potential for the agro-food industry."

Keywords: sensors,blockchain,safety