Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A Modular European Education and Training Concept In Nuclear and RadioCHemistry (MEET-CINCH)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Support the development of nuclear competences at Union level and socio-economic aspects
Action type: Coordination and support actions
Countries involved: Italy,Germany,Cyprus,Norway,Finland,Sweden,Belgium,Slovenia,France,Czechia,United Kingdom,United Kingdom
Call: Support for careers in the nuclear field (NFRP-2016-2017-1, 2016)
Start date: 2017-06-01
End date: 2020-08-31
Duration (months): 39.0
Total project cost (EUR): 2307965.63
EU funding (EUR): 2110051.25
Participants: 14
Project status: CLOSED

In order to maintain European nuclear operations, expertise in nuclear and radiochemistry (NRC) is of strategic relevance. Besides the obvious needs of NRC skills in the context of nuclear power and assessment of disposal options for nuclear waste there are many other applications. This includes radiologic diagnostics and therapy, unthinkable without radiopharmaceutical chemistry, dating in geology and archaeology, (nuclear) forensics and safeguard operations, radiation protection including radioecological assessments of releases and legacies and last but not least basic research e.g. on super heavy elements. The MEET-CINCH project will counteract the massive lack of NRC expertise by three actions. A teaching package for high schools and a MOOC on NRC for general public are built in order to attract young persons to the NRC field and convey them its fascination and relevance. Two additional actions focus on vocational training and (university) education. MEET-CINCH will develop completely new education and training approaches based on remote teaching and the flipped classroom concept including and further developing material generated in the CINCH I and CINCH II projects, such as the NucWik platform and the remote controlled RoboLab experiments. MEET-CINCH will provide ECVET course modules in an e-Shop adapted to the needs of end-users which have been surveyed in the previous projects. After the end of MEET-CINCH the e-shop will be continuously operated by the NRC-network as part of a sustainable European Fission Training Scheme (EFTS). The consortium includes 13 partners from ten European member states; both academia and nuclear laboratories are represented. All partners are experienced in conducting training and education. Networking on national and European level will be an important part of the project, facilitated by having ENEN as one of the partners and by having structural links with other Euratom projects, the EuCheMS DNRC and the NRC-network.

Keywords: nuclear chemistry,radiochemistry,education,training,e course,flipped classroom,distance learning
NEW_InnoNet: The Near-zero European Waste Innovation Network (New_Innonet)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Coordination and support actions
Countries involved: Spain,Spain,Norway,Belgium,Finland,Poland,Sweden,Belgium,Belgium,Netherlands,Netherlands,Netherlands
Call: An EU near-zero waste stakeholder platform (H2020-WASTE-2014-one-stage, 2014)
Start date: 2015-02-01
End date: 2017-07-31
Duration (months): 30.0
Total project cost (EUR): 1493211.25
EU funding (EUR): 1493211.25
Participants: 14
Project status: CLOSED

Europe generates around 3 billion tonnes of waste yearly, which is expected to grow further. Despite the introduction of innovative waste and recycling technologies, market uptake varies drastically amongst the 27 Member States. New-InnoNet is the new stakeholder platform initiative by 12 European consortium members active as entrepreneurs, researchers and policy makers. These recognise that in order to reach a European near zero waste economy, all value chain stakeholders must cooperate, exchange generated knowledge, insights and hands-on experience and enforce changes to the value chain structure together. Previous initiatives were unable to achieve actual, large scale results towards a sustainable growth of the European economy. The reason is that they either focussed on a specific waste area or they lacked the involvement of the competent industries. This project includes various waste value chains which enable exchange of information and technology transfer from one chain to another. In addition, the consortium’s network includes over 2000 relevant industrial stakeholders and several already expressed their interest in this new stakeholder platform, its goals and actions. During the project, key stakeholders will be mobilised to participate in the platform and road mapping workshops, as only an active involvement of industrial organisations will lead to the desired changes in the structure of the value chain. The many letters of support show the consortium's strength in mobilising stakeholders. NEW_InnoNet’s main objective is to mobilise stakeholders towards building a circular economy by developing and reinforcing solid foundations for building the European Near-Zero Waste Platform through: 1. Set-up and maintain near zero waste stakeholder platform 2. Analyse selected waste streams and develop innovation roadmaps per waste stream 3. Develop an integrated near zero waste strategic research and innovation agenda 4. Stakeholder mobilisation and interaction

Keywords: circular economy,resource efficiency,waste reduction,value chain approach,european stakeholder platform,eu2020,roadmap to a resource efficient europe
Norwegian Innovation Management Services (NORIMS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Norway
Call: INNOSUP (H2020-Adhoc-2014-20, 2014)
Start date: 2014-07-01
End date: 2014-12-31
Duration (months): 6.0
Total project cost (EUR): 42693.75
EU funding (EUR): 34155.0
Participants: 1
Project status: CLOSED

The INNOWAY consortium will be delivering services under Horizon 2020 within the action «Establishing services enhancing the innovation management capacity of SME’s in the Enterprise Europe Network in 2014. This will build the foundation for the actions to be carried out in 2015-2021. The NORIMS project will have three partners with Innovation Norway being the coordinator and IRIS and NORUT as partners. All three institutions will be delivering both services: Innovation Specialist and Key Account Management. There will be seven experts from Innovation Norway (5), IRIS (1) and NORUT (1) delivering the services in 2014. To coordinate the action a “Competence Group Innovation” will be set up, composed of the certified innovation experts plus the INNOWAY-project coordinator and the SME NCP. The group will be chaired by the Activity Leader for the H2020 innovation services, who is to be elected from among the innovation experts. The application consists of four work packages: WP 0: Integration of the actions into the Enterprise Europe Network general services WP 1: Implementation of the Key Account Management services for the beneficiaries of the SME instrument WP 2: Implementation of Innovation Management Capacity Building services WP 3: Project Management and Quality Assurance of the project. Norway will be delivering 15 services packages, estimating 5 KAM for the SMEI beneficiaries and 10 companies will be chosen for the innovation management services. The companies will be recruited by regular INNOWAY staff and selected by the Competence group on Innovation. All companies being part of the action or not will also be linked to the regular innovation and internationalization services under the CIP Enterprise Europe Network work-programme. The NORIMS project has chosen the IMP3rove tool for enhancing innovation management capacity. KAM will use Ostwerwalder business canvas and the FRAM tools.

Keywords: key account manager,innovation specialist,enterprise europe network,innovation management capacity building,sme instrument,sme instrument beneficiary
Dual-comb laser driven terahertz spectrometer for industrial sensing (DC-THz)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-03-01
End date: 2022-08-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Optical absorption spectroscopy is a key enabling technology for contact-free and non-destructive identification of materials. Since these measurements allow for identifying defects or contaminants in products, they are used in many industries. Examples include testing of polymers, coatings and paints, pharmaceuticals, foods, and semiconductor devices for electronics. Optical spectroscopy also has emerging applications in environmental monitoring, security, and medical diagnostics. Light in the terahertz region of the electromagnetic spectrum (frequencies from 0.1 – 10 THz) is particularly attractive for all these applications because of its remarkable properties: it can be transmitted through many materials, allowing for inspection of products inside their packaging; its interaction with matter leaves unique spectral fingerprints, enabling identification of the molecules present; and it offers good resolution, enabling imaging applications. However, a significant challenge for existing industrial terahertz spectroscopy systems is the high cost and complexity of the driving laser. In this ERC-PoC project, we will resolve these problems by leveraging our recently-demonstrated breakthrough dual-comb laser technology. These patented dual-comb lasers produce asynchronous high-power femtosecond pulses from a single laser cavity. This solution combines higher performance and lower complexity compared to the alternative technologies. The goal of the ERC-PoC is to deploy these advantages in the context of terahertz spectroscopy to enable faster measurements and lower costs, and take important steps to commercialization. We will develop a prototype industrial terahertz spectrometer, measure test samples with research and industrial collaborators, and find initial product-market fit for commercializing the spectrometer.

Keywords: terahertz time domain spectroscopy,dual optical frequency combs,non destructive testing,ultrashort pulse lasers
An Advanced Methodology for the Inspection and Quantification of Damage on Aerospace Composites and Metals using an Innovative Approach (CompInnova)

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: Greece,Greece,Sweden,United Kingdom,Portugal,United Kingdom
Call: FET-Open research projects (H2020-FETOPEN-2014-2015-RIA, 2014)
Start date: 2015-09-01
End date: 2020-12-31
Duration (months): 64.0
Total project cost (EUR): 2495863.0
EU funding (EUR): 2495863.0
Participants: 6
Project status: CLOSED

There is an innovative need for more efficient and reliable damage inspection, reducing time and cost of aircraft infrastructures, as well as maintenance-especially C and D Checks- without compromising the safety of passengers and goods transported. The CompInnova project is focused upon the development of an innovative inspection methodology, with automated and manual capabilities, for any type of composite and metallic aircraft structures. The novel structural integrity approach is comprised by three parts: a qualified Phased Array (PA) and Infrared Thermography (IRT) method attached to a mobile Vortex robot, a Damage Tolerance (DT) structural integrity assessment technique processed on a computer and an innovative repair system.

Keywords: thermography,phased array,repairs,automation,aerospace metals and composites
IMMUNOMETABOLISM IN HUMAN OBESITY (Fit-The-Fat)

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: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

The incidence of obesity and type 2 diabetes (T2D) are inexorably increasing and elevated healthcare costs related to the higher disease-associated morbidity are affecting European and extra-European countries. Obesity is associated with resistance to the action of insulin (called insulin-resistance) in adipocytes, which is thought to be induced by a low-grade inflammation present in the adipose tissue. Bariatric surgery has been described as the most effective treatment for obesity; however, the pursuit of non-invasive strategies to override obesity-induced insulin-resistance, promote weight loss and restoration of glycemic control is highly needed. In this project will be investigated the hypothesis that T cells residing in the visceral adipose tissue (VAT) are endowed with immunological and metabolic properties that are altered in obese patients and that, in turn, induce insulin-resistance in adipocytes. The following specific Objectives will be accomplished during the fellowship: I. Determine identity, metabolic demands and immunological functions of human VAT-T cells in obese patients and lean subjects; II. Assess the metabolic properties of human VAT-T cells in obese patients and lean subjects; III. Target VAT-T cell-mediated mechanisms of insulin-resistance. In this project, clinical expertise on diabetes and competences in tissue-specific T cell immunology will be merged with cutting-edge technologies in the cellular and molecular biology of diabetes as well as active support from a broad network of collaborators in the field of cell metabolism. The proposed research project has the scientific, structural and institutional support to bring new knowledge on T cell metabolic demand and functional properties in human obesity and lead to the discovery of new pathways involved in the induction of insulin-resistance, ultimately fostering advances in the field of Immunometabolism as well as the applicant’s career development.

Keywords: immunometabolism,t cell,obesity,insulin resistance,adipocytes
Epigenetic approach for the treatment of obesity (EASY)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-01
End date: 2019-12-01
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

It has been estimated a threefold increase in the number of obese people in Europe since the 1980’s. Currently, EU countries spend an average of 7% of their public health budgets on diseases linked to obesity. The socio-economic impact of obesity epidemic cannot be overrated. European societal needs require desperately a shift forward in the field of obesity research to be able to build new therapeutics strategies. Recent scientific evidences point toward a role of epigenetic changes as major contributor in the obesity etiology. In the last decades, a huge amount of data clearly link epigenetic dysregulation to obesity onset. Yet, it remains unclear whether epigenetic dysregulation contributes meaningfully to obesity epidemic. Because weight gain only occurs when energy intake exceed energy expenditure, burning off excess fuel represent an attractive path to reduce obesity when diet and exercise are not enough. My preliminary data indicate the histone methyltransferases Suv420h1 and Suv420h2 as pivotal players in metabolism regulation. By using knockout mice specifically in brown adipose tissue, this project aims at dissecting the role of Suv420h proteins in the etiology of obesity. I will combine in vivo and in vitro analyses and genome wide studies to: 1) dissect the role of Suv420h proteins in the epigenetic regulation of the pathways controlling weight balance in response to nutritional or environmental stimuli; 2) identify genes involved in the generation, maintenance or transmission of the epigenetic memory of exposure; 3) provide useful markers or therapeutic targets to treat obesity and metabolic diseases. My results have the potential to translate into therapeutics. This research will contribute to provide new clinical targets against obesity. The Experienced Researcher will emerge from the project with new skills, and the capability to lead her own research group.

Keywords: h4k20me3,obesity,suv420h,chip seq,rna seq
Modulation of glycolytic flux as a new approach for treatment of atherosclerosis and plaque stabilization: a multidisciplinary study (MOGLYNET)

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: Life Sciences
Countries involved: Spain,Italy,Germany,Spain,Italy,Belgium,Switzerland,Belgium,France,Netherlands,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-EJD) (H2020-MSCA-ITN-2015, 2015)
Start date: 2015-09-01
End date: 2019-11-30
Duration (months): 51.0
Total project cost (EUR): 3086435.52
EU funding (EUR): 3086435.52
Participants: 13
Project status: CLOSED

The mission of MoGlyNet is to define a joint doctorate educational training model in Drug Discovery and Development where Academia and Industry join their forces for: - creating a common platform of knowledge and language for early stage researchers (ESR) working in the Drug Discovery and Development area aiming to convey complementary pharma-skills - exploiting this platform to train a new generation of cutting-edge researchers and professionals highly attractive for employment by the European Pharma-industry - establishing structures for long-term cooperation, strengthening the relationships among the leading Universities and Pharma-enterprises and to continuously develop the research training platform that European industry relies on. To achieve the above objectives the main tasks of MoGlyNet are: - to attract/train 12 ESRs in optimization joint academic/industrial program of cutting-edge training-by-research, high quality supervision, complementary and transferable Pharma-skills training, inter-network secondments, and workshops/Summer Schools - to pursue an innovative research project that will tackle a timely and important scientific problem with a multidisciplinary approach (from molecular modelling to in vivo studies). Atherosclerosis is an aging-related disease and our research approach for a better therapy of atherosclerosis will be focused on the PFKFB3 enzyme, a key player in glycolysis/oxidative stress and therefore in pathological angiogenesis - to build a solid foundation for long-term European excellence in this field by disseminating MoGlyNet research/training outcomes and best practice into the partners Doctoral Schools, and by fostering long-term partnerships and collaborations that will outlast the Consortium - to transfer expertise/know-how among the Consortium participants and to external groups via networking activities, intersectorial exposure, secondments, workshops, sharing of learning material, public engagement and outreach activities

Keywords: molecular modelling,synthesis of small molecules,peptide,peptidomimetics,diagnostic tools imaging,oxidative stress
EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement (EXA MODE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Bulgaria,Poland,Switzerland,Netherlands,Netherlands
Call: Big Data technologies and extreme-scale analytics (H2020-ICT-2018-2, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 4333281.25
EU funding (EUR): 4333281.0
Participants: 10
Project status: SIGNED

Exascale volumes of diverse data from distributed sources are continuously produced. Healthcare data stand out in the size produced (production 2020 >2000 exabytes), heterogeneity (many media, acquisition methods), included knowledge (e.g. diagnostic reports) and commercial value. The supervised nature of deep learning models requires large labeled, annotated data, which precludes models to extract knowledge and value. EXA MODE solves this by allowing easy & fast, weakly supervised knowledge discovery of exascale heterogeneous data provided by the partners, limiting human interaction. Its objectives include the development and release of extreme analytic methods and tools, that are adopted in decision making by industry and hospitals. Deep learning naturally allows to build semantic representations of entities and relations in multimodal data. Knowledge discovery is performed via document-level semantic networks in text and the extraction of homogeneous features in heterogeneous images. The results are fused, aligned to medical ontologies, visualized and refined. Knowledge is then applied using a semantic middleware to compress, segment and classify images and it is exploited in decision support and semantic knowledge management prototypes. EXA MODE is relevant to ICT12 in several aspects: 1) Challenge: it extracts knowledge and value from heterogeneous quickly increasing data volumes. 2) Scope: the consortium develops and releases new methods and concepts for extreme scale analytics to accelerate deep analysis also via data compression, for precise predictions, support decision making and visualize multi-modal knowledge. 3) Impact: the multi-modal/media semantic middleware makes heterogeneous data management & analysis easier & faster, it improves architectures for complex distributed systems with better tools increasing speed of data throughput and access, as resulting from tests in extreme analysis by industry and in hospitals.

Keywords: knowledge discovery,multimodal,multimedia,ontologies,knowledge graphs,classification,segmentation,compression,medical image analysis,digital pathology