Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A study for the technical and business feasibility of a fast-acting consumer test to detect gluten and other contaminants in food. (RAD)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Ireland
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2015, 2015)
Start date: 2016-02-01
End date: 2016-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Due to the health risk for those suffering from Celiac Disease and other intolerances, Allogen Biotech Ltd.’s Rapid Allergen Detector (RAD) kits can detect a range of protein-based allergen in food or cosmetics, in a compact portable reader and disposable testing strips. The kits are versatile, with a cartridge-based reagent to identify and concentrate allergens for detection, and an accurate reader that can provide quantitative readouts for industrial users or a simple “traffic light” system for consumer model users. Results are available in 10 seconds or less, a reader can be used for over 10,000 tests, and test strips are simple to use, with a low cost.

Keywords: food safety,food quality,allergen detection,celiac disease,gluten free,gluten intolerance,intolerance
Search for the Lepton Flavour Violating Decay Tau to Lepton + Gamma at the Belle II Experiment (TAULEPGAMMA)

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: Physics
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-06-01
End date: 2023-05-31
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: SIGNED

I propose a measurement of the lepton flavour violating (LFV) tau -> lepton + gamma decay, where the lepton is a muon or an electron. This will be carried out at the University of Pisa (Italy) under the supervision of Prof. Francesco Forti. Although highly successful, the Standard Model (SM) of particle physics does not completely describe all the phenomena we observe, such as the recent discovery of neutrino oscillations which violate lepton flavour conservation in the neutral sector. Many scenarios have been advanced to extend the SM into a bigger picture; several of these models predict LFV to occur in the charged sector as well at measurable rates. I will exploit the unprecedented data sample provided by the Belle II experiment at SuperKEKB to measure the tau -> lepton + gamma decay rate with a sensitivity of at least a factor of four greater than any previous measurement. In order to achieve this result I will develop an advanced physics analysis, making full use of the characteristics of the state-of-the-art Belle II detector and incorporating modern techniques such as machine learning. I will use my experience in physics analysis, preparatory studies and detector performance measurements to make this possible. The impact of a measurement of such sensitivity would be tremendous. A discovery of charged LFV would constitute an enormous breakthrough which would spark a new era of particle physics; a non-observation would instead place strong constraints on possible extensions of the SM and inform physics studies for the coming decade.

Keywords: tau physics,lepton flavour violation,physics beyond the standard model
Breakthrough of Hydrogen Energy and Hydrogen Mobility by Utilisation of MEMBRASENZ Membranes (MEMBRASENZ)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Germany
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Advanced material for separating hydrogen (H2) and oxygen, during H2 production in alkaline electrolysers, has been developed by the Start-up company MEMBRASENZ. Taking into account the relevance of H2 as a future energy career in providing green, CO2-free energy supply for industrial, domestic use and mobility applications, this invention possesses the potential to contribute solving the future European/global energy challenges. The target customers of the innovative membrane material are worldwide manufacturers of alkaline electrolysers. Ten companies have already, with a Letter-of- Intent, expressed their interest in installing the patented MEMBRASENZ membranes in their systems. The State-of-the-Art membranes available on the market, Zirfon® (AGFA), possess shortcomings, which are limiting the expansion of the alkaline water electrolysis for H2 production. The prototype membrane (TRL 7) developed by MEMBRASENZ surpasses the performance of the competitor on the market. Ionic conductivity, thermal and mechanical resistivity of MEMBRASENZ prototype membranes are significantly higher compared to the State-of-the-Art membrane. These improvements lead to increased efficiency of the electrolysis process when using MEMBRASENZ membranes and would enable the reduction of the H2 price. The assessment of the suitable technology for the prototype up-scale in industrial conditions (wet and dry impregnation trials), assessment of the EU, CH and USA market, IP protection strategy, as well as the elaboration of a feasibility report with a business plan, are defined as the objectives of the feasibility study. To attain the main objectives of the overall innovation project i.e. launch of the pilot and mass membrane production, market entry with the membrane product and business growth accompanied with hiring personnel, MEMBRASENZ intends to also apply for Phase 2. The outcome for the EU and society will be the breakthrough of CO2-free hydrogen technologies.

Keywords: advanced membrane,alkaline electrolysis,hydrogen production,carbon free society
NewsEye: A Digital Investigator for Historical Newspapers (NewsEye)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Reflective societies - cultural heritage and European identity
Action type: Research and Innovation actions
Countries involved: Austria,Austria,Germany,Finland,France,France,France
Call: European cultural heritage, access and analysis for a richer interpretation of the past. (H2020-SC6-CULT-COOP-2017-two-stage, 2017)
Start date: 2018-05-01
End date: 2022-01-31
Duration (months): 45.0
Total project cost (EUR): 2998565.0
EU funding (EUR): 2998565.0
Participants: 9
Project status: CLOSED

Newspapers collect information about cultural, political and social events in a more detailed way than any other public record. Since their beginnings in the 17th century they are recording billions of events, stories and names, in almost every language, every country and every day. Newspapers were always an important medium for the dissemination of public and political opinions, literary works, essays and art. This thematic wealth sets them at the center stage for anyone interested in European cultural heritage. In the last decades, tens of millions of newspaper pages from European libraries have been digitized and made available online, while national libraries will intensify their digitization efforts in the coming years. There is large demand for access to historical newspapers. At this very moment, probably thousands of European citizens are accessing digitized versions of historical newspapers utilizing digital library services. Whilst the broad public shows general interest in this historical and cultural resource, it is of crucial importance for many humanities scholars. The NewsEye project involves national libraries, humanities and social science research groups and computer science research groups. It addresses a number of challenges, which will result in significant scientific advances, in several directions: * in text recognition, text analysis, natural language processing, computational creativity and natural language generation, with regard to historical newspapers but also more universally, * in digital newspaper research, addressing a number of editorial issues like OCR and article separation, * in digital humanities, in respect to huge amounts of text material, availability of useful tools and possibilities of searching and browsing, * in history, in terms of analyzing historical assets with new methods across different language corpora.

Keywords: digital humanities,digital history,text recognition,article separation,multilingual text analysis,text data mining,natural language generation,computational creativity
The first MPEG-G compliant software tools for efficient compression, storage, transport and analysis of genomic data enabling systems interoperability (GenCoder)

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: 2018-07-01
End date: 2018-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Next-Generation Sequencing (NGS) devices have enormously impacted on genomic analysis and life sciences, with a drastic price reduction for sequencing a human genome (1,000 USD) and faster data processing, which resulted in the exponential accumulation of genomic data. However, the vast amount of genomic data produced and stored in clinics, research institutes, bio-banks and biotech companies is bringing along cumbersome informatics challenges: the huge amount of data to be stored imply massive costs for data storage (850 €/TB per year, with average size of a whole human genome being in the range of 0.4-3 TB), also due to the use of ineffective data formats not specifically designed for genomic data; the lack of interoperability and standardized software and protocols prevents genome analysis centres to implement reliable, scalable, and widely-accepted applications for cross-correlating and comparing genomic data. GenCoder by GenomSys is a software tool specifically designed for efficient genomic information representation, compression and transport, which provides the following main performances: (1) High compression rates in lossless mode (up to 90% with respect to the BAM standard); (2) Selective access to specific blocks of data and metadata, so to significantly speed-up data analysis; (3) Interoperability amongst available data formats, enabled by the compliance with the ISO standard MPEG-G (to be released in 2019), which is being developed by a joint working group having GenomSys as main contributor. The Phase 1 project will have as main outcomes the optimization and validation of the GenCoder performances through tests involving huge datasets in selected data sequencing and storage facilities, and the business plan of the product, which consolidates the business model and pricing, the marketing strategy, and the financial plan.
Perfused Organs-on-a-Chip integrated with TEER measurement technique: A novel approach towards studying non-targeted drug induced organ toxicity (PORTable STaNDOuTs)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-04-14
End date: 2023-04-13
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

PORTable STaNDOuTs aims to develop a multiple Organs-on-a-Chip (MOOC) microfluidic device integrated with electrodes for carrying out Transepithelial electrical resistance (TEER) measurements. The key motivation for adopting such an approach is to develop a rapid, versatile and cost-effective prototype with ability for real-time monitoring to replace the conventional long and cost-ineffective preclinical procedures involved in the drug development process. On administration of an oral pharmaceutical drug, major organs that are involved in the absorption and metabolism of drug are intestine and liver. The drug is then distributed to different target organs such as brain, heart, lung, etc. Finally, the drug metabolites are eliminated from the human system with the help of kidney. Additionally, it has also been found that certain drug metabolites produced by the liver cause non-target drug induced organ toxicity. TEER measurement is a rapid and non-invasive technique for the real-time detection of pathophysiology. TEER indicates the integrity of the cell membrane barrier of different organs that is necessary for maintaining homeostasis within the human body. In view of this, we intend to fabricate a physiologically-mimicking perfused intestine-liver-kidney microfluidic chip with provision for carrying out in-chip TEER measurements. The device will be designed to consist of three compartments for organs namely, intestine, liver and kidney, independently equipped with electrodes for measuring TEER values to detect the integrity of cell membrane barriers in each organ compartment. The developed device will be then subsequently validated for its ability to study drug-induced nephrotoxity. Furthermore, the device will also be made versatile to incorporate other organs of interest to study non-target organ toxicity. Thus, the developed MOOC microfluidic device will surely boost the drug development process that will successively improve the health security of the society.

Keywords: organs on a chip,transepithelial resistance teer
A synthetic biology approach for T cell exhaustion (Synthetic T-rEX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Italy
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1496250.0
EU funding (EUR): 1496250.0
Participants: 1
Project status: SIGNED

Synthetic Biology has revolutionised approaches for several scientific, industrial and medical applications. These include the development of immunotherapies based on bioengineered cells, most notably engineering of patients T cells with tumor-targeting receptors, the CAR-T cells. Cell-based immunotherapies have shown remarkable clinical success; yet, long-term benefits are hampered by dysfunction of T cells occurring following antigen chronic exposure, a process known as T cell exhaustion. Current treatments of T cell exhaustion are limited and exhibit adverse effects. Synthetic T-rEX aims to reprogram exhausted T-cells using synthetic biology circuits, to implement enhanced and more effective immune cell-based therapies. We will develop specific, self-contained genetic circuits with improved capabilities that minimise the impact on normal cell physiology; by pre-programmed integration of exhaustion-specific intracellular signals, these will rewire T cell activity and restore normal function. Circuits will be developed using a stepwise, bottom-up approach to identify exhaustion-specific inputs by RNA and microRNA-sequencing profile performed on ex vivo exhausted human CD8+ T cells. We will then design (a) synthetic promoters and (b) microRNA-regulated 5’UTR that will compute information processing to trigger output activation. Localised therapy will rely on concerted action of genetically encoded immune-checkpoint blockade and fine-tuning of epigenetic modulators that play a major role in T cell exhaustion. Finally, we will engineer T cells with sensor-actuator synthetic devices that revert exhaustion (T-rEX cells). In summary, our proposal provides a paradigm shift in the development of strategies against T cell exhaustion and a solid break-through towards enhanced natural and cell-based immunotherapy. More broadly, the proposed approach will unleash the potential of synthetic biology to the next level of therapeutic intervention.

Keywords: mammalian synthetic biology,synthetic promoters,microrna sensors,t cell exhaustion
Long noncoding RNAs: Impact on Gene Regulatory Networks (lncImpact)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Israel
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-06-01
End date: 2025-11-30
Duration (months): 66.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Tens of thousands of loci in mammalian genomes produce long RNAs that do not go on to produce functional proteins, and are collectively called long noncoding RNAs (lncRNAs). A growing number of these have been shown to be important in various biological processes and human diseases. How lncRNA genes function and, specifically, how their production, maturation, or RNA products affect other gene regulatory processes remains poorly understood and is the focus of this proposal. We will build on a rich arsenal of tools from molecular biology, computational biology, high-throughput screens, cell biology, and mouse genetics, develop new methodologies, and dissect the rules underlying the functions of three lncRNA circuit classes that we identified as representatives of large groups of lncRNAs. Namely, lncRNAs that: (i) regulate gene expression in cis at a distance; (ii) affect the activity of proximal promoters; or (iii) modulate the function of RNA binding proteins that regulate mRNAs post-transcriptionally. We propose a roadmap in which we will use minimal synthetic systems to build on the insights from the representative circuits, identify yet uncharacterized lncRNAs with similar modes of action, and derive a codebook of how lncRNA gene loci impact gene regulatory networks and sculpt gene expression in mammalian cells. The proposed research has the potential of producing conceptual breakthroughs including: (1) Understanding how RNA production poises genomic loci for timely gene activation upon cues for neuroregeneration and learning. (2) Recipes for therapeutic perturbations that will tune promoter activity for balancing gene expression in haploinsufficient or over-producing cells. (3) Decoding how a single lncRNA species can disrupt a network of post-transcriptional control by RNA binding proteins.

Keywords: long noncoding rnas,enhancers,post transcriptional regulation,crispr screens
Dia-Pol: Polarization or dialogue? A deep learning study of the Black lives matter and Me Too online social movements (Dia-Pol)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Türkiye
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2023-11-21
Duration (months): 24.0
Total project cost (EUR): 145355.52
EU funding (EUR): 145355.52
Participants: 1
Project status: SIGNED

This project studies whether interactions on social media between social movements working for race and gender equality and their countermovements trigger polarisation or dialogue by applying topic modelling and deep learning techniques on big data. Specifically, I examine debates around the Black lives matter and Me Too movements in Europe with a focus on groups and individuals that are at their intersection––e.g., gay Black men, since such intersectional groups are subject to multiple and novel forms of domination due to the overlap of categories. I seek to find out whether dialogue dialogue forms around intersectional themes (e.g., respect to black gay men) or on less specific and controversial themes (e.g., gender equality) promoted by politically liberal and progressive users, and whether polarisation is associated with political conservativism. I aim to develop an algorithm to operate on an interactive online platform called Dia-Pol, to assist citizens, activists, NGOs, and decision makers, such as the European Commission, to find out which issues are the most polarising and how messages should be (re)shaped to address people’s sensitivities and avoid misunderstandings and deconstruct prejudices. This algorithm will generate information that can be incorporated into reports and studies, and will be applicable to other social media debates. This project is the first application of deep learning in political science and is one of the rare social science projects to use state-of-the-art computational techniques to test a rich theory. It foregrounds a powerful analytical tool that will be applicable to other social movement studies. Theoretically, it is the first study on intersectionality and echo chambers and on outcomes of movement interactions with their counter and synthetic movements. Therefore, its findings will start a novel research agenda. Also, the project will shift the focus away from studies of singular social movements to a comparative approach.

Keywords: social movements,social media,polarisation,dialogue,race,gender,intersectionality,echo chambers,deep learning,network analysis,topic modeling,black lives matter,me too,algorithm design