Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Generating growth hormone-releasing hormone neurons from human embryonic stem cells (GHRH neurons)

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: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 202680.96
EU funding (EUR): 202680.96
Participants: 1
Project status: CLOSED

Hypothalamic growth hormone-releasing hormone (GHRH) neurons stimulate pulsatile pituitary growth hormone (GH) secretion and thereby determine glucose homeostasis and growth in children and eventually adult height. Conversely, growth hormone deficiency is potentially lethal in neonates, and can lead to short stature and significant morbidity later in life. However, the mechanisms of growth hormone deficiency are incompletely understood, since pituitary cells and hypothalamic GHRH neurons are virtually impossible to obtain for disease modelling. The aim of my proposal is to differentiate GHRH neurons from human embryonic stem cells (hESCs), which can self-renew indefinitely in culture while maintaining the ability to become almost any cell type in the human body. My proposal is comprised of three distinct work packages (WP1-3). In WP1, I will develop a conventional growth factor-based protocol for GHRH neuron differentiation by taking advantage of the existing knowledge on signals regulating hypothalamic development. In WP2, I will use RNA sequencing data from WP1 to directly differentiate hESCs to GHRH neurons by CRISPR-dCas9-based gene activation system (CRISPRa), which can temporally control the transcription of desired endogenous loci. In WP3, I will characterize the endocrine and electrophysiological properties of GHRH cells from WP1 and WP2. My project will provide a platform to model genetic causes of GH deficiency, and is expected to be applicable for human growth-modulating drug discovery. The three WPs will be carried out in an excellent training environment at the Stem Cells and Metabolism Research Program at the Research Program Unit (research flagship program of the University of Helsinki, Finland).

Keywords: growth hormone deficiency disease,growth hormone releasing hormone secreting neurons,human embryonic stem cells,single cell rna sequencing,crispr
Unlocking Triterpenoid Structural Diversity and Bioactivity through Genome Mining (TRIGEM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The triterpenoids are one of the largest and most structurally complex plant natural products. They are widespread in the Plant Kingdom and have a huge array of structures and numerous associated biological activities. They have important roles in plant defence and signalling. They are also exploited by humans as food supplements, drugs and cosmetics across various sectors. In the past the discovery and production of triterpenoids has relied mainly on isolation from extracts of natural sources and subsequent structural elucidation and chemical modification. These methods suffer from low efficiency and high cost, and are not environmentally sustainable. We herein propose a greener and more sustainable but as yet largely unexplored synthetic biology-based approach that involves genome mining and metabolic engineering to synthesise structural variants of triterpenoids, with a view to discovering novel structures with biological activities for various application prospects in a rapid manner. This project will also shed new light on the biosynthetic pathways of triterpenoids by uncovering new genes and enzymes and will open up opportunities for production of important triterpenoids via further metabolic manipulations in plant or microbial ‘green factories’.
ACceleraTing PHotonics innovAtion for SME’s: a one STop-shop-incubator (ACTPHAST 4.0)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Spain,Ireland,Italy,Austria,Germany,Germany,Italy,Finland,Poland,Poland,Belgium,Finland,Greece,Greece,Belgium,Bulgaria,France,France,France,France,France,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Photonics KET 2017 (H2020-ICT-2017-1, 2017)
Start date: 2017-11-01
End date: 2023-01-31
Duration (months): 63.0
Total project cost (EUR): 10239047.5
EU funding (EUR): 9999946.0
Participants: 33
Project status: SIGNED

ACTPHAST 4.0 (ACceleraTing PHotonics innovAtion for SMEs: a one STop-shop-incubator) is a unique photonics innovation incubator for Europe which is perfectly aligned with the needs of SMEs in overcoming the challenges and seizing the opportunities afforded by the new digital revolution of Industry 4.0 in which photonics technologies are a key enabler. ACTPHAST 4.0 will directly support the broader and faster take-up of photonics by a critical mass of SMEs by providing action-oriented solutions on two complementary levels, driven by the business needs of the companies: (i) ready-made access to rapid prototyping services using the top photonics technologies and expert know-how of Europe’s leading photonics competence centers covering the entire integrated supply chain of photonics technology platform capabilities to make deep interventions in the SMEs’ new product development through focused short-duration co-innovation projects; combined with (ii) professional coaching on the technical, business and financial aspects of the innovation process, from concept feasibility through to a mass-manufacturable marketable product. ACTPHAST 4.0 is designed to ensure that all of Europe’s SMEs, in particular first users and early adopters across a wide range of end user industries, have open access to the incubator for timely, efficient and cost-effective photonics innovation support. As a result, ACTPHAST 4.0 expects to boost photonics innovation in Europe at a scale and with a leveraging factor never seen before, delivering a substantial increase in the revenues, venture capital and jobs across all of the supported companies. In addition, through its tight links with the EU pilot lines, as well as its collaboration with smart “first mover” regions across the EU on best practices for co-funding on SME innovation, ACTPHAST 4.0 will act as a game-changer in revitalizing European manufacturing and as one of the vital catalysts to the successful digitization of European industry.

Keywords: lighting,automotive,aerospace,energy,environment,information,communication,life sciences,security,metrology,sensors,visualization,displays
Flexible and open-source tool for accurate reconstruction using industrial X-ray computed tomography (FlexCT)

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: Information Science and Engineering
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-12-01
End date: 2019-12-17
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

Our ability to achieve breakthroughs in manufacturing is dependent on our capacity to measure the features that define these breakthroughs. In other words, we can manufacture only as well as we can measure. Recent trends indicate that the future of mass production is in additive manufacturing (AM). X-ray computed tomography (CT) is the optimal solution for quantitative inspection of AM products as it is currently the only technology that can perform non-destructive measurements of both internal and external features. However, the reliability of CT measurements is not yet established and the application of CT for product inspection is limited to qualitative tasks. FlexCT is a multi-disciplinary research project that answers the imminent need to bring CT to measurement maturity to keep the pace with the improvements and wider adoption of AM. The fields of dimensional metrology, software engineering, and manufacturing are combined to produce an effective and open solution for the decisive adoption of CT to inspection of AM and other high-value products. The candidate’s research experience is overwhelmingly in the field of dimensional metrology. Materialise and UAntwerp’s Vision Lab are selected strategically to ensure the successful execution of the project and to provide the candidate with exposure and training in new disciplines and work environments. Materialise is one of the world’s leading companies in AM technology and is proposed as the host institution for this project. The candidate’s exposure to and feedback from a manufacturer will allow the proposed solution to be optimized for the needs of the end-user. The secondment and collaboration with UAntwerp’s Vision Lab provides knowledge and support for tomographic reconstruction algorithms and software engineering. Dedicated training in additive manufacturing, software engineering, and leadership skills will help the candidate achieve his career goal of becoming an independent principal research scientist.

Keywords: x ray computed tomography,dimensional metrology,software engineering,additive manufacturing
Deciphering sex differences in the human immune system (SEXimmune)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Sweden
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-08-01
End date: 2026-07-31
Duration (months): 60.0
Total project cost (EUR): 1497438.0
EU funding (EUR): 1497438.0
Participants: 1
Project status: SIGNED

Women face a four-fold higher risk of developing an autoimmune disease compared to men. Sex differences in immune-mediated disorders are well-documented, but have remained poorly understood and are not taken into account in current therapies. To improve treatment of sex-biased autoimmune disorders I believe it will be essential to gain a much deeper understanding of fundamental factors controlling sex differences in the human immune system. The present proposal applies two uniquely informative human model systems to determine the separate roles of sex hormones and sex chromosomes in immune regulation. First we will investigate how the immune system is transformed during female-to-male and male-to-female sex change, utilizing samples collected in a multicenter study that I am coordinating. A combination of broad-scale technologies will be applied to follow dynamics provoked by sex hormone transition in peripheral blood immune cells, autoimmune reactivity, plasma proteins, and gut microbiota. As a complementary model to capture effects mediated by sex chromosomes, we will study mosaic individuals harboring immune cells with both female and male karyotypes in peripheral blood. Single cell transcriptomic analysis will be used to compare these cell populations, thereby revealing the influence of chromosomal sex in an otherwise fixed genetic and hormonal background. These model systems will be combined with population-based studies - taking advantage of new data on sex hormone levels and sex chromosome karyotypes in 500,000 women and men (UK Biobank), which will allow us to determine how these factors ultimately influence the risk of autoimmune disease. I believe this novel approach will offer groundbreaking insights into the biology of sex differences of human immune systems, thus providing a foundation for development of new treatment strategies for sex-biased autoimmune disorders.

Keywords: autoimmunity,sex differences,immune system,sex hormones,sex chromosomes,systems immunology,molecular epidemiology
OMTLAB’s Real time positioning system for smart & flexible manufacturing (SUNSTONE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Hungary
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-10-01
End date: 2022-06-30
Duration (months): 33.0
Total project cost (EUR): 1373000.0
EU funding (EUR): 961100.0
Participants: 1
Project status: CLOSED

The aim of SUNSTONE is to increase the efficiency of flexible manufacturing processes by advanced analytics based on real-time position data. SUNSTONE provides high precision real-time location data tailored to reliable shop floor operation. The unique hardware and software elements integrate position data of inventory and assets into MES and ERP. SUNSTONE uses ultra-wideband (UWB) technology in disruptive way resulting in simple installation, low energy consumption and superior performance at a low price guaranteeing fast return on investment through more efficient operation for the user. Our SUNSTONE system has been demonstrated (piloted) in relevant environments at LEAR Corp., FLEX & Foxconn and we have signed contracts to carry out further piloting at Arconic & Siemens. Based on the findings from these pilot tests we aim to scaleup the SUNSTONE system so it can be commercialised. To achieve this we will require business development, global maintenance and support establishment along with product development (ease of installations, prepare for mass production, SW implementation of business logic, interfaces to third party MES and ERP packages, cyber security). We intend to scale-up our product and company so that we can provide location-based services for the manufacturing industry worldwide. We will enter the international market initially through our piloting partners and ensure growth by involving integrator & distributor partners (we already have agreements). According to our piloting findings our disruptive SUNSTONE system will increase the overall efficiency of flexible manufacturing by 15% resulting in fast return on their investment of our affordable technology. The uptake of the technology will ensure profitability in the first year, a breakeven on our investment in 2 years and doubling our company size in 3 years.

Keywords: real time location system,indoor positioning system,intelligent asset management,ultra wideband
Engaging Citizens in Science: Promoting the Viability of Participatory Sensing for Monitoring Air and Environmental Quality (ESAIRE)

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: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2018-04-17
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 2
Project status: CLOSED

Participatory sensing initiatives for monitoring air and environmental quality are flourishing as a result of the citizens’ growing concern about pollution. Scientific teams and Do it Yourself communities are developing personal sensor kits and data aggregation platforms, leveraging smartphones to gather environmental data. However, the human and social aspects that have the power to sustain these citizen science projects do not receive enough attention. ESAIRE aims at addressing the citizen engagement challenges that affect the viability and impact of citizen science and participatory sensing projects. In collaboration with the Air Pollution program of CREAL and the UCL’s Extreme Citizen Science research group, the researcher will apply a novel human-centered approach to participatory sensing, based on a case study in Barcelona. ESAIRE is a multidisciplinary project lying at the intersection of Society and technological systems, with applications in public health and environmental research and potential to impact policy decisions. First, ESAIRE will develop a public engagement strategy and media dissemination plan to involve citizens and local authorities in a participatory sensing project from the early stages of design. Secondly, ESAIRE will explore innovative methodologies to incorporate citizens’ contributions into the design of participatory sensing: from novel visualization solutions to community building strategies, and the creation of communication channels with the authorities. Finally, ESAIRE will contribute to advancing the state-of-the-art in participatory sensing with a conceptual framework of citizen science, human-centered methodological guidelines, and evaluation measures to assess impact.

Keywords: participatory sensing,participatory science,citizen science,human computer interaction,air quality monitoring,environment,information services,social media,sensors,mobile phones
Services to enhance innovation management capacities of SMEs in England, Northern Ireland and Wales 2015 -2016 (ENIW)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 2336311.17
EU funding (EUR): 2336311.17
Participants: 23
Project status: CLOSED

A national service in support of recipients of the H2020 sme instrument and for the enhancement of innovation management in SMEs Innovation is a vital ingredient of growth and an important element of the future success of the UK. With some 95% of R&D and innovation conducted outside of the UK and many major and lead market shaping companies being of non-UK origin, access to knowledge, markets, skills and partners is increasingly taking place on a global basis. To ensure UK business stays competitive it is important that it is able to effectively access and exploit the growing global investment in research and innovation. Through EEN ENIW activities we will help businesses build collaborations and partnerships and access the finance, knowledge, skills, networks and customers to more rapidly move a concept through to commercialisation.

Keywords: innovation management,growth,innovation capacity
Transnational nationalism. Far-Right Nationalist Groups in East Central Europe in the 20th and 21st centuries (Transnat_farright)

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: Austria
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2018-06-01
Duration (months): 24.0
Total project cost (EUR): 178156.8
EU funding (EUR): 178156.8
Participants: 1
Project status: CLOSED

The project will study networks of youth far-right nationalist organizations in East Central Europe, paying particular attention to the developments in Austria, Croatia, Hungary, and Poland. Using historical and anthropological methods, the study explores the transnational dimension of nationalist organizations: the networking of ideologies and tactics. It entails a combination of archival research, interviews, and participant observation during nationalist gatherings. In proposing a historical-ethnographic study of youth far-right nationalist groups, the project aims to fill the gap in existing scholarship, resulting from the lack of interdisciplinary dialogue, negligence of a historical dimension, and macro-perspective predominance. Inspired by the transnational history approach, it foregrounds the complex – synchronic and diachronic - interactions between European nationalisms and studies agents of those exchanges, examining nationalist activists’ motivations and experiences. A combination of anthropological in-depth analysis and historical approach offers an original perspective by drawing parallels between nationalist activities against a multinational federative system, the Austro-Hungarian Empire, and the EU. It provides a critical tool for challenging unidirectional models of modernity and nationalism and for reflecting on the challenges to the European integration. The project will be undertaken at the Institute for East European History, University of Vienna, under the supervision of Prof. Philipp Ther, a leading specialist in the field of transnational history. During the secondment at the Department of Gender Studies, Central European University in Budapest, I will explore the gender dimension of nationalist activism. The fellowship will constitute a fundamental step in my academic career, enabling me to develop a new field of research and expertise and to gain skills necessary to become an independent researcher and to lead my own research group.

Keywords: transnationalism,networks,far right organization,transnational history approach,historical anthropology,archival research,participant observation