Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A cross-country comparison of Communications designed to Prevent Radicalisation (CPR)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-01
End date: 2019-10-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

The CPR project (A cross-country comparison of Communications designed to Prevent Radicalisation) analyses communications in the UK and Denmark that are designed to contribute to the prevention of vulnerable individuals being radicalised by terrorist groups such as ISIL. CPR will make a significant contribution to a problem facing many European states – namely how to effectively utilise strategic communications to counter terrorist propaganda. It is widely recognised in the literature that, to date, Western states have not been sufficiently effective in their counter-radicalisation communication strategies. It is unclear what a more prioritised communicative approach will mean in practice and communication efforts lack coordination between and, often, within countries to date. By employing an interdisciplinary theoretical approach and utilising unique access to new primary data in both states, CPR will, across four specific research strands, make three major contributions: i) generate a deeper and more nuanced empirical and conceptual understanding of the effectiveness of current counter-terrorism communications targeted at a range of audiences, ii) provide an empirically unique analysis of the challenges to effective prevention communications and, iii) provide empirically substantiated and theoretically informed communications-focused policy requirements that will improve the ability of practitioners and policy-makers to design and deliver communications that contribute to the prevention of radicalisation. CPR will employ a mixed methods methodology, incorporating semi-structured interviews for qualitative analysis alongside online surveys experiments to identify key quantative insights derived from new primary data. The project multi-actor and multi-level analysis in CPR moves beyond the state of the art in terms of methods and theory, access to data, and addressing new and broader questions in an under explored, and empirically lacking, area of research.

Keywords: counter terrorism,strategic communications,counter narratives,alternative narratives
A medical device determining the daily amount of breast milk to improve neonatal nutrition andmothers’ psychophysics well-being. (Galastick)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Italy,Italy
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-06-01
End date: 2016-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

Biological diversity among people, reveals that not all mothers are the same. For some of them (not a few) it occurs that they are not able to successfully breastfeed their babies. Breastfeeding without "feeding" can cause frequent crying and colic in the newborn and nervousness in mothers, lack of confidence in their abilities and depression. A mother starts to feel inadequate, undermining her psychological wellness. On the other hand, several mothers have breastmilk in excess and could donate it to preterm infants in midwiferies, thus promoting the babies' health and reduce hospitals' costs. Galascreen developed a proprietary disposable medical device, GalaStick, determining the lactation onset and the progressively increasing daily amount of breastmilk. The stick uses a lateral flow immunochromatographic assay that works simply detecting the presence (or absence) of a target analyte in the human milk sample. Such an easy to use stick not only improves the neonatal nutrition (warning if any feeding integration is needed), but also the psychological well-being of the mother. GalaStick has reached TRL 6 since a preliminary prototype has been tested with real human milk samples. More than 150 volunteer mothers and human milk donor mothers were successfully screened. Galascreen requires funding to engineer and industrialize the stick prototype and to get it medically certified as a medical device. Both key processes will be supervised and supported by the SME partner Omini Pharma. Phase 1 project will address a deep study on business development strategy and will define the value chain and the commercialization plan, together with assessing the regulatory procedures and certifications to be obtained by both the product and the company in order to be an active player on the medical market.

Keywords: new business opportunities
Thin film light-trapping enhanced quantum dot photovoltaic cells: an enabling technology for high power-to-weight ratio space solar arrays. (TFQD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Finland,Netherlands,United Kingdom
Call: Bottom-up space technologies at low TRL (H2020-COMPET-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 1008376.25
EU funding (EUR): 1008376.25
Participants: 7
Project status: CLOSED

The project “Thin film light-trapping enhanced quantum dot photovoltaic cells: an enabling technology for high power-to-weight ratio space solar arrays” (TFQD) aims at developing a new generation of high-efficiency thin-film photovoltaic devices for future solar arrays, by exploiting cross-cutting Key Enabling Technologies as: advanced manufacturing, advanced materials, photonics. The core device is a thin-film III-V solar cell embedding quantum dots and photonic nanogratings to boost the efficiency beyond the thermodynamic limit of conventional single-junction devices. Combining the thin-film approach with the nanostructuring of semiconductor layers allows for a drastic improvement of power-to-weight ratio and mechanical flexibility with respect to currently available space solar cells. The incorporation of quantum dots provides improved radiation and temperature hardness. The TFQD device targets efficiency higher than 30% (AM0), at least an eightfold increase of power-to-weight ratio vs. triple junction III-V solar cells and very low bending radius, allowing for the development of rollable or inflatable solar arrays. Demonstration up to TRL4 will be carried out through on ground testing under representative in orbit conditions over a set of 44 prototypes. The consortium includes four academic partners having a strong position in modelling, epi-layer structuring and development and manufacturing of thin-film III-V solar cells, a SME able to quickly implement the new technology in their thin-film solar cell production line, and a company that is a European leader in satellite systems as early adopter of the developed devices to boost innovation in space solar panels. On account of wafer reuse and simplicity of the epitaxial structures, the TFQD solar cells are less expensive than the current state-of-the-art multi-junction solar cells, thus also important impact potential on terrestrial applications, as first in concentrating photovoltaic systems, is foreseen.

Keywords: space solar arrays,iii v thin film solar cells,quantum dots,epitaxial lift off,nanophotonics
The first magnetic angular sensor which integrates high accuracy for high rotational speed (FAMAS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

SENIS is a Swiss company founded in 2004, which develops and sells extremely accurate and stable CMOS based Hall sensors and magnetometers for industrial and academic test & measurement applications, among others in the automotive and consumer electronics market. Over the last two years SENIS has worked on developing FAMAS, a disruptive integrated magnetic angular sensor which overcomes the main limitations of existing solutions in the market: they are either very fast or very sensitive and at high cost. FAMAS is a magnetic angular sensor with the highest magnetic resolution (<1uT), the largest frequency bandwidth (up to 300 kHz), a very fast response (<1us) and very high resolution (<0.1°) at the highest rotational speed (200,000 rpm) with the lowest price in the market (1.40€ vs. 3.20€ average price). FAMAS is based on SENIS patented invention, EP 16157316- Angle sensor and method of measuring an angle of a magnetic field. FAMAS target is to disrupt in the magnetic field sensor market for the transportation industry, which is the largest segment for type of sensors, with a wide range of applications in it: anti-lock braking systems and engine control management systems among others. This market segment is expected to reach €475.47 million by 2023 only in Europe. SENIS already counts with great expertise, contacts, and client portfolio in this segment where we expect sales of several million chips annually by direct sales to end customers and through licensing our product. We have estimated a accumulative profit of €10.86 million during the first five years of commercialisation, a Return of Investment (ROI) of 7.8 by 2025 and the generation of 10 new direct jobs. Successful completion of FAMAS and its commercialisation will allow SENIS to reach the next significant step in the company’s development and become a game changer in the magnetic angular sensor market.

Keywords: magnetic angular sensor,accurate,high speed,high resolution,stable,cost effective,electronic,automotive,consumer electronics
RESEarch for healThy AGEING (RESETageing)

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,Netherlands,United Kingdom,Portugal
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 899971.25
EU funding (EUR): 899971.25
Participants: 4
Project status: SIGNED

Europe’s ageing population is characterized by an increasing gap between the ‘successful agers’ and the less successful ones, resulting in a significant fraction of the population suffering multiple diseases and disabilities. For the foreseeable future, interventions that increase healthy ageing bear the most promising potential to relieve individual suffering as well as the enormous strain on public finances. RESETageing project aims at enhancing the scientific and innovation competences of University of Coimbra (UC), Portugal, a low-performing partner, in the area of cardiovascular ageing, with three high-performing partners, University of Newcastle upon Tyne (UNEW), United Kingdom (ageing biology), the University of Maastricht (UM), Netherlands (cardiovascular biology) and the Leibniz Institute on Aging– Fritz Lipmann Institute (LIA), Germany (cardiovascular ageing). To accomplish this goal, the project is divided in 6 work packages that will: (i) stimulate research excellence in the aging and age-related cardiovascular diseases, (ii) train and give institutional exposure of UC researchers in the area of ageing mechanisms and new tools in age-related diseases (omics, system biology and animal models), and (iii) build an innovation and entrepreneurship environment at UC by nurturing an entrepreneurial and risk-taking spirit among UC students and researchers.

Keywords: ageing,age related cardiovascular diseases,tissue engineering,senescence,drug therapy,innovation in ageing,training in ageing biology,training in cardiovascular biology
Modelling the Predictability and Repeatability of Tumour Evolution in Clear Cell Renal Cell Cancer (RCC_Evo)

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-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Kidney cancer is among the 10 most frequently diagnosed cancers and its incidence is rising. Clear cell Renal Cell Cancer (ccRCC) is the most common subtype and is characterized by early 3p loss. The deleted region on chromosome 3p harbours a number of tumour suppressor genes namely VHL, PBRM1, SETD2 and BAP1, which are frequently mutated subsequent to 3p loss. TRACERx Renal is a multi-center, longitudinal cohort study, which studies tumour evolution and intratumoural heterogeneity through multi-region profiling of primary tumours. Interim findings have defined 7 evolutionary subtypes. I will model the predictability and repeatability of these evolutionary trajectories in patient-derived tumour organoids (PDO), in patient-derived xenografts (PDX), and in gene-edited human proximal tubule cells (HPTC). Preliminary evidence suggests that ccRCC genotypes are associated with specific TME conditions. I will develop PDO models in which I will co-culture tumour cells with tumour infiltrating leucocytes and cancer associated fibroblasts. I will refine the mutational ordering and clonal resolution in selected cases of the TRACERx Renal Study by micro-biopsy profiling. Predictability of evolutionary trajectories will then be addressed through repeated passaging of tumour PDOs followed by targeted panel sequencing. The function of metastatic driver events will be characterised in PDX. The repeatability of the evolutionary trajectories will be studied through experimental manipulation of the genotype sequence in HPTCs. Co-culture PDOs will be used to define response to immune checkpoint inhibition. The results will allow a personalized prediction of the clinical course of ccRCC and the response to immune checkpoint inhibition. I will identify mechanisms of tumour progression and the involvement of the TME. This will result in the identification of previously unknown targetable weaknesses in ccRCC.

Keywords: tumour evolution,clear cell renal cell cancer,patient derived organoids,patient derived xenografts,crispr,cas9 mediated gene editing
Neural Grader - Digitizing the Wood Industry (Neural Grader)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Belgium
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Fordaq SA has been leading the wood products B2B global market for almost 20 years. We provide our 200.000 user companies with a specialized digital platform for buying products. We have observed how low digitization of the wood industry poses problems for success & often survival for SMEs. There is an urgent need of an automated solution for processing lumber. The current methods are too expensive for SMEs and in practice lead to errors, enormous economic & environmental waste. Our newest product - Neural Grader is the solution to this problem, having the potential of disrupting the European and global wood industry. Its innovation lies in the industrial cameras that capture images of each board and, using state-of-the-art Artificial Intelligence methods, accurately classifies wood quality. Neural Grader also computes the optimal way for cutting the boards and sends commands to the cutting machine, preventing wood waste. Competitive advantages: - Efficiency: it detects defects and grads lumber at high speed, with accuracy that exceeds the one of existing systems; - Affordability: the price will be 1/4 of the price of our competitors’ products, making it accessible for the SMEs, who are currently overwhelmed by overly expensive technology and dominated by large companies; - Full-control of production: companies can manage the production lines and inventory and focus on quality. We have a large base of existing clients and 10 sawmills in Europe & North America sent us Letters of Support (ANNEX 1). Finance: We expect revenue growth of €1.2, €4.4 and €8.3 million in 2020, 2021 and 2022, respectively. Job creation increases from 12 to 29 employees. Operating expenses start at €0.9 million in 2019 and grow to € 2.3 million in 2022.

Keywords: artificial intelligence,neural nets,computer vision,image processing,wood grading,waste optimization,optimization algorithms,smes
Tuned to the Rhythm: How Prenatally and Postnatally Heard Speech Prosody Lays the Foundations for Language Learning (BabyRhythm)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Italy,France
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-06-01
End date: 2024-05-31
Duration (months): 72.0
Total project cost (EUR): 1621250.0
EU funding (EUR): 831034.64
Participants: 2
Project status: SIGNED

The role of experience in language acquisition has been the focus of heated theoretical debates, between proponents of nativist views according to whom experience plays a minimal role and advocates of empiricist positions holding that experience, be it linguistic, social or other, is sufficient to account for language acquisition. Despite more than a half century of dedicated research efforts, the problem is not solved. The present project brings a novel perspective to this debate, combining hitherto unconnected research in language acquisition with recent advances in the neurophysiology of hearing and speech processing. Specifically, it claims that prenatal experience with speech, which mainly consists of prosody due to the filtering effects of the womb, is what shapes the speech perception system, laying the foundations of subsequent language learning. Prosody is thus the cue that links genetically endowed predispositions present in the initial state with language experience. The proposal links the behavioral and neural levels, arguing that the hierarchy of the neural oscillations corresponds to a unique developmental chronology in human infants’ experience with speech and language. The project uses state-of-the-art brain imaging techniques, EEG & NIRS, with monolingual full term newborns, as well as full-term bilingual, preterm and deaf newborns to investigate the link between prenatal experience and subsequent language acquisition. It proposes to follow the developmental trajectories of these four populations from birth to 6 and 9 months of age.

Keywords: speech perception,newborns,nirs,neural oscillations
Scaling up the WHO-PEN package for diabetes and hypertension in Swaziland: a nation-wide cluster-randomised evaluation of three strategies in Swaziland (WHO-PEN@Scale) (WHO-PENatScale)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Switzerland,Norway,United States,Netherlands,Eswatini
Call: Global Alliance for Chronic Diseases (GACD) - Scaling-up of evidence-based health interventions at population level for the prevention and management of hypertension and/or diabetes (H2020-SC1-2018-Single-Stage-RTD, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 3449412.0
EU funding (EUR): 3449412.0
Participants: 9
Project status: SIGNED

Swaziland has a very high prevalence of both diabetes and hypertension, with the majority of those affected being undiagnosed. Like many other countries in sub-Saharan Africa (SSA), however, Swaziland provides care for diabetes and hypertension only through physician-led teams in hospitals. The country has recently conducted a successful feasibility pilot of the World Health Organisation’s Package of Essential NCD Interventions for Primary Health Care in low-resource settings (WHO-PEN). The WHO-PEN@Scale project aims to improve diabetes and hypertension control at the population-level by helping Swaziland identify and scale up the most effective healthcare delivery model for WHO-PEN implementation at scale. Specifically, we will conduct an innovative nation-wide two-phased adaptive randomised study to i) rigorously assess the effectiveness and cost-effectiveness of four novel community-based healthcare delivery models to scale up WHO-PEN for diabetes and hypertension nationally, ii) study in-depth the real-life implementation of the WHO-PEN national scale-up in Swaziland to generate lessons for other countries, and iii) actively disseminate the Swazi experience along with an open-source toolkit for WHO-PEN scale-up to policy makers in SSA. WHO-PEN@Scale will therefore provide a blueprint of primary health system strengthening for diabetes and hypertension – and ultimately non-communicable diseases (NCDs) more generally - for other countries in the region. WHO-PEN@Scale is highly relevant to this work programme because i) the interventions contained in WHO-PEN have been shown to be cost-effective, ii) the scale-up is government-led, and iii) we assess the impact of WHO-PEN@Scale on diabetes and hypertension control at the population-level.

Keywords: adaptive randomised trial,who pen,primary health system strengthening,secondary prevention,community health worker,swaziland
Innovation Radar Data-based Identification & Commercialisation (INNODEC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Countries involved: Germany,Switzerland,Netherlands
Call: Startup Europe for Growth and Innovation Radar (H2020-ICT-2019-2, 2019)
Start date: 2019-11-01
End date: 2022-04-30
Duration (months): 30.0
Total project cost (EUR): 1456000.0
EU funding (EUR): 1456000.0
Participants: 3
Project status: CLOSED

This proposal aims to close the gap between investors and research projects from both sides. On the one hand, by placing investors / partners in contact with the research projects with the highest potential and on the other, to coach the projects on raising capital, identifying a business model and developing a sound go-to-market strategy. The approach will ensure scalability while simultaneously catering to the large diversity between the projects and the needs. This is achieved by using data to select the projects with the highest market potential and followed by tailor made support. Giving tailor made support is needed as ownership structures, backgrounds, and challenges vary greatly between projects. Some researchers prefer to transfer or license their innovations as opposed to starting and running a company. The key to success is to first understand each innovation, innovator, investor & partner; only then can their needs and their potential be identified, and can they receive the right kind of support at the right stage.

Keywords: innovation,support,commercialisation,data