Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Smart Broadcast Monitoring and Management System (SoundID)

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: 2019-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The field of broadcast monitoring is and will be an extremely important measuring instrument for different parties involved in music production, broadcasting, advertising and music consumption. Automatic broadcast monitoring of media channels permits advertising agencies to reliably check if and when commercials were broadcasted. Similarly, broadcasters are interested in a reliable log file of their transmission schedule as an independent proof that music/commercials are delivered to the consumer under the predefined conditions. Artists and music publishers can determine exact figures on how often a certain title was played to get their respective royalties. Based on the data gathered, the real market penetration is also estimated. The cost of 24×7 manual monitoring is prohibitive, but automation drastically reduces costs. Independent broadcast monitoring based on SoundID fingerprints can help everyone get a handle on their content, with great economic advantages. SoundID is a powerful and cost-effective platform specifically designed for broadcast monitoring. It allows broadcasters and content providers to log and monitor any number of radio or TV channels, from any input and any format. It offers an advanced automatic audio commercials detection and track solution combined with a robust feature-set allowing detection of recurring spots in linear broadcasts. SoundID contains a report generator, allowing to create any report, by any criteria and filter. It also provides additional audio recognition services such as finding music by sound, marketing support, copyright detection, etc. Our technology covers an extraordinary range of applications and target users, which makes it highly marketable.

Keywords: media monitoring,radio,publicity,fingerprint,intellectual property rights,royalties
Working in a Collaborative Factory of the Flight Simulators Branch of RISE (WrightBroS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria,Slovakia,Poland
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 993600.0
EU funding (EUR): 993600.0
Participants: 3
Project status: SIGNED

The research programme of WrightBroS project is aimed to develop a prototype of NewTechnology professional flight simulator to demonstrate how deployment of augmented reality (AR) has a potential to significantly broaden the market for these new products. The economical impact on market expansion will be achieved due to innovations at three layers: (1) technological support to “learn as you go” paradigm, (2) developing AR-based virtual maintenance and servicing system, and (3) AR-based architecture of the flight simulator (as opposed to current architectures based solely on virtual reality). Research leading to these innovations will be performed by collaborative teams from Silesian University of Technology (PL) and two HighTech companies: LG Nexera (software development company from AT), and VRM (flight simulators manufacturer from SK). Such composition not only will mobilise to the project the researchers with complementary skills but also it will provide to WrightBroS project the equipment of exceptional in Europe Virtual Flight Laboratory at SUT, resources for complex data management at NXR, and professional industrial environment for manufacturing flight simulators at VRM. Working toward attainment of scientific goals in this multidisciplinary project will rely on advanced image processing, pattern recognition, knowledge acquisition and processing, smart diagnostics methods, augmented reality technology, and aerodynamics simulation models. Common goal to achieve the qualitatively new technology will be a basis for a rich programme of mutual staff training not limited only to secondments. Particular attention will be paid to wide and efficient dissemination and communication. Due to these measures, WrightBroS project will strengthen career perspectives of participating scientists, become the foundation for lasting collaborations in exploitation of results, and increase competitiveness of European industry on world market of professional flight simulators.

Keywords: flight simulators,procedural knowledge processing,smart diagnostics,augmented reality,image processing
SYSTEM DYNAMICS MODELLING FOR SUICIDE PREVENTION (SEYMOUR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Australia,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2025-01-31
Duration (months): 36.0
Total project cost (EUR): 295940.16
EU funding (EUR): 295940.16
Participants: 2
Project status: SIGNED

Globally, suicide is the second leading cause of death among young people aged 15-29. Many European countries have seen a sustained increase in youth suicide rates in recent years. Despite the deployment of comprehensive and multilevel suicide prevention strategies, we still do not know which suicide prevention interventions, for which groups of young people, for how long, and with what intensity could generate the most significant reductions in youth suicide rates. Therefore, we cannot efficiently and effectively inform decision-making in youth suicide prevention policy, planning and implementation. Current methodological approaches (meta-analyses, regression models) for synthesizing and operationalising research evidence used to inform suicide prevention strategies have limited adequacy and accuracy because they do not: respond to real-time suicide data; account for the interrelationship, interdependence and nonlinearity of suicide risk factors as they operate across multiple levels (e.g. individual, social); consider the influence of factors such as healthcare constraints (access, capacity). SEYMOUR offers a novel paradigm for guiding the efficient and effective deployment of national and global youth suicide prevention strategies through the use of system dynamics modelling (SDM). SEYMOUR will develop and evaluate a novel SDM that will demonstrate which suicide prevention interventions could generate the most significant reductions in suicide rates among young people aged 12-25. This will include an implementation blueprint to facilitate the transferability, internationalisation and adoption of the SDM as a decision-making tool in youth suicide prevention policy and practice in Europe and globally. The conceptualisation, formulation, testing of the SDM; and, development of an implementation blueprint will take place during Years 1 and 2 at UoM. The validation of SDM in the UK and adaptation of the implementation strategy (WP4) will take place during Year 3.

Keywords: suicide prevention,system dynamics modelling,young people,implementation,social policy
ENHANCING RESEARCH AND INNOVATION CAPACITY OF TUBITAK MRC FOOD INSTITUTE ON DIETARY POLYPHENOLS AND BIOAVAILABILITY/ BIOEFFICACY (PhenolAcTwin)

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: Spain,Türkiye,France,United Kingdom
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2020-12-01
End date: 2024-05-31
Duration (months): 42.0
Total project cost (EUR): 884450.0
EU funding (EUR): 884450.0
Participants: 4
Project status: SIGNED

The main objective of the PhenolAcTwin project is to enhance the scientific and technological capacity of TUBITAK MRC Food Institute (FI) and to raise the research profile of the Institute and its staff in the field of dietary polyphenols and bioavailability/bioefficacy via networking with three leading European institutions such as CSIC, QIB, and INRAE. FI is a leading research center in the area of functional foods/nutraceuticals in Turkey. Our networking and collaboration with global leaders in this research field will help us in developing an European-wide known center with increasing research and innovation contributions and achievements on dietary polyphenols and bioavailability/bioefficacy. Such achievements will increase the participation of FI in European and international projects and promote higher performance of other research institutions in Turkey. The partners from research-intensive institutions have high international reputation and expertise in the various aspects of polyphenols, bioavailability, and bioefficacy as well as omics. Additional advantage for the FI is that the leading research partners have complementary competences ranging from various fields: identification of dietary polyphenols, in-vivo, in-vitro analysis, and human clinical trials. Based on the expertise and achievements of FI, PhenolAcTwin will contribute to “Vision Document” of Joint Programming Initiative (JPI): “A Healthy Diet for a Healthy Life” and 11th Development Plan of Turkey with relevant thematic priorities. The work program of the project is distributed in six work packages including the main activities, envisaged in the work programme of the Call. PhenolAcTwin project gives specific importance on improving the research profile of human resources especially the young researchers by enhancing the research and innovation capacity and networking, as well as improving proposal preparation and project management/administration skills.

Keywords: dietary polyphenols,bioavailability,bioefficacy,food and health,functional foods
The physics of three dimensional chromosome and protein organisation within the cell (THREEDCELLPHYSICS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-07-01
End date: 2020-06-30
Duration (months): 60.0
Total project cost (EUR): 1499236.0
EU funding (EUR): 1499236.0
Participants: 1
Project status: CLOSED

Understanding the fundamental mechanisms behind the functioning of cells and their interior has long been a biology-only enterprise. This view has radically changed in the last decade or so, culminating in the invention of a whole new field, named 'cell physics', which uses the tools of physics to gain a more quantitative and deeper understanding of the inner working of a cell. The aim of my research fits broadly in this new field, although the scale of the computational studies which I plan are thus far unprecedented. I will focus my programme on the spatial organisation of DNA and chromosomes, proteins, and DNA-protein networks within the intracellular environment. I will therefore aim to answer questions such as: How is DNA organised in living cells, such as bacteria and eukaryotic nuclei? What is the role of proteins in DNA and chromosome folding in vivo? How does genome organisation differ in healthy and sick nuclei? How do proteins and RNA move around and self-organise into supramolecular structures in the crowded intracellular environment? I propose to work on the simulation and theoretical side of these problems, while maintaining very close collaborations with key experimental players in these fields who will provide me with a large number of experimental data (obtained by more sophisticated version of the original well-known 'chromosome conformation capture' technique) to maximise the impact and output of the modelling work.
Reconstitution of Chromosome Replication and Epigenetic Inheritance (CHROMOREP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-11-01
End date: 2022-04-30
Duration (months): 78.0
Total project cost (EUR): 1983019.0
EU funding (EUR): 1983019.0
Participants: 1
Project status: CLOSED

A PubMed search for ‘epigenetic’ identifies nearly 35,000 entries, yet the molecular mechanisms by which chromatin modification and gene expression patterns are actually inherited during chromosome replication — mechanisms which lie at the heart of epigenetic inheritance of gene expression — are still largely uncharacterised. Understanding these mechanisms would be greatly aided if we could reconstitute the replication of chromosomes with purified proteins. The past few years have seen great progress in understanding eukaryotic DNA replication through the use of cell-free replication systems and reconstitution of individual steps in replication with purified proteins and naked DNA. We will use these in vitro replication systems together with both established and novel chromatin assembly systems to understand: a) how chromatin influences replication origin choice and timing, b) how nucleosomes on parental chromosomes are disrupted during replication and are distributed to daughter chromatids, and c) how chromatin states and gene expression patterns are re-established after passage of the replication fork. We will begin with simple, defined templates to learn basic principles, and we will use this knowledge to reconstitute genome-wide replication patterns. The experimental plan will exploit our well-characterised yeast systems, and where feasible explore these questions with human proteins. Our work will help explain how epigenetic inheritance works at a molecular level, and will complement work in vivo by many others. It will also underpin our long-term research goals aimed at making functional chromosomes from purified, defined components to understand how DNA replication interacts with gene expression, DNA repair and chromosome segregation.
European Regulatory Science on Tobacco - Research and Innovation Staff Exchange (EUREST-RISE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain,Romania,Greece,Greece,Belgium,United Kingdom,United Kingdom,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2020, 2020)
Start date: 2021-06-01
End date: 2025-05-31
Duration (months): 48.0
Total project cost (EUR): 1150000.0
EU funding (EUR): 1150000.0
Participants: 9
Project status: SIGNED

Smoking and other forms of tobacco consumption are considered the single most important cause of preventable morbidity and premature mortality worldwide. Tobacco product design and additives provide a primary industry tool for innovations that may undermine public health programs and support tobacco use and dependence. The past years have seen the development and adoption of many new cigarette technologies and design features, including new tobacco blends, filters, ventilation and additives, including flavours. Within this evolutionary process, novel tobacco products have emerged -including e-cigarettes and heated tobacco products, that further perpetuate the complexity of understanding and subsequently effectively regulating products. Within EUREST-RISE, an integrated series of research studies are proposed that will facilitate the training of researchers (ESR and ER) to examine tobacco product systems, their mechanisms and purpose, and interactions between key design characteristics and their assessment in populations of users. The project will achieve its goal through 5 specific objectives (WPs): 1 – To facilitate smooth implementation of secondments and research exchanges; 2 – To facilitate the exchange of expertise on complex dataset analysis and interpretation at both the product and population level through unique secondary dataset analyses; 3 – To exchange expertise on the sensory and chemical analysis of tobacco, e-cigarettes and novel product flavour additives; 4 – To exchange expertise and gain experience in advocacy, policy integration and communication on tobacco control; 5 – To ensure dissemination and communication of the results to stakeholders. It is this gap that the EUREST-RISE project will cover through the creation of a cohort of researchers who will be trained as scholars on state-of-the-art aspects of European tobacco product regulatory science.

Keywords: tobacco control,epidemiology,public policy
TEchnology TRAnsfer for GrOwth with twinNing (TETRAGON)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain,Belgium,Czechia
Call: peer learning of innovation agencies (H2020-INNOSUP-2014-5, 2014)
Start date: 2016-02-01
End date: 2017-04-30
Duration (months): 15.0
Total project cost (EUR): 50000.0
EU funding (EUR): 50000.0
Participants: 4
Project status: CLOSED

The Technology Transfer Office Circle, launched by the EC in 2011, analyzed the Technology Transfer (TT) in Europe concluding that:“It is anticipated that the next decade will see profound changes in this landscape. Studies have identified the lack of scale as one of the major issues of technology transfer”. So Technology Transfer, is a prevailing topic. Though it’s a concept as old as ancient Greece, Archimedes could be the first Technology Broker in history, the reality is that it is still needed to overcome barriers and face common challenges to improve the Technology Transfer process. TETRAGON will use the Twinning Advanced methodology to enhance SME’s innovation capacity by providing them with better innovation support in Technology Transfer. That is, provide better support to SMEs to improve TT from public research to the market. Due to the expertise of the consortium and the needs identified in their regions this project will be focused on the following models of Technology Transfer: 1) To foster an entrepreneurial environment at universities and research centers in order to increase the creation of spin-offs and to improve the exploitation of technology by existing companies. 2) To foster demand driven collaborative projects, between public researchers and private SMEs. 3) To look for innovative ways of licensing the technology, including open source, open innovation and user innovation. The project will have the support of the Netherlands Enterprise Agency (RVO) in the Twinning Advanced Methodology. TETRAGON will help to place TT in the core of innovation, to improve the TT measures and the SMEs to grow, and, consequently, foster growth of the European economy. TETRAGON, aims at reaching almost 300 innovation agencies all over Europe, through networks as EURADA, and that 20% of this agencies adopte, at least, one of the new measures defined in the DOP, meanwhile establishing a Twinning Advanced ecosystem where agencies collaborate.

Keywords: technology transfer,twinning advanced,peer learning,spin off creation
Form-Independent Semantics for Natural Language Understanding (SEMANTAX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-08-01
End date: 2023-07-31
Duration (months): 72.0
Total project cost (EUR): 1996792.0
EU funding (EUR): 1996792.0
Participants: 1
Project status: SIGNED

The project addresses the most important open problem in NLP, to develop a robust semantics that is invariant across different linguistic forms within a language and across languages, and embodies aspects of common-sense knowledge. It will be derived by machine-learning from machine-reading of vast amounts of text, using an existing state-of-the-art wide-coverage CCG semantic parser developed under previous ERC funding to the PI, initially to build traditional semantic analyses of sentences relating named entities. Patterns of entailment across semantic expressions relating the same named entities will be then detected across other entities of the same types, to construct directed entailment graphs. Cliques within the graphs constitute paraphrases, and can be collapsed to a single cluster identifier. The paraphrase-clustered entailment graph can then be used to redefine the semantics delivered by the parser as conjunctions of entailed paraphrase clusters, to make it invariant under paraphrase and common-sense entailment, yet compatible with a traditional logical operator semantics. The semantics will be extended to a wide range of logical operators, including tense, modality, aspect, and voice, and to implicative and evidential verbs, light verbs, multi-word expressions, and idioms. The method will be applied to semantic parsing, machine translation, knowledge-graph query, and the construction of large knowledge graphs or semantic nets from text, using spreading activation to limit growth in costs of updating and querying the knowledge graph. In the later stages of the project, the paraphrase-clustered entailment semantics will form the bassi for an incremental semantic parser, using a novel shift-reduce architecture proposed for CCG by the PI in 2000, guided by a modern neural network parsing model acting as a categorial ``supertagger'' and parser action model, for application to language modeling for the machine translation component.