Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Testing the Untestable: Model Testing of Complex Software-Intensive Systems (TUNE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Luxembourg
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 2307932.0
EU funding (EUR): 2307932.0
Participants: 1
Project status: CLOSED

Software-intensive systems pervade modern society and industry. These systems often play critical roles from an economic, safety or security standpoint, thus making their dependability indispensible. Software Verification and Validation (V&V) is core to ensuring software dependability. The most prevalent V&V technique is testing, that is the automated, systematic, and controlled execution of a system to detect faults or to show compliance with requirements. Increasingly, we are faced with systems that are untestable, meaning that traditional testing methods are highly expensive, time-consuming or infeasible to apply due to factors such as the systems’ continuous interactions with the environment and the deep intertwining of software with hardware. TUNE will enable testing of untestable systems by revolutionising how we think about test automation. Our key idea is to frame testing on models rather than operational systems. We refer to such testing as model testing. The models that underlie model testing are executable representations of the relevant aspects of a system and its environment, alongside the risks of system failures. Such models inevitably have uncertainties due to complex, dynamic environment behaviours and the unknowns about the system. This necessitates that model testing be uncertainty-aware. We propose to develop scalable, practical and uncertainty-aware techniques for test automation, leveraging our expertise on model-driven engineering and automated testing. Our solutions will synergistically combine metaheuristic search with system and risk models to drive the search for critical faults that entail the most risk. TUNE is the first initiative with the specific goal of raising the level of abstraction of testing from operational systems to models. The project will bring early and cost-effective automation to the testing of many critical systems that defy existing automation techniques, thus significantly improving the dependability of such systems.

Keywords: software testing,model driven engineering,search based software engineering
PLANT DEFENCE STRATEGIES IN THE ARMS RACE WITH FUNGAL DISEASE (ARMSRACE)

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: Environment and Geosciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

In less than 40 years, humanity will face the challenge of having to feed 9 billion inhabitants, which will require a 70% increase in global agricultural productivity. Currently, losses in crop yields caused by fungal diseases account for approximately $60 billion annually. Fusarium oxysporum is a devastating soil-borne pathogen that provokes vascular wilt in over a hundred field and greenhouse-grown crops both in industrialized and developing countries. Current methods of control of F. oxysporum depend on the extensive use of chemical pesticides, which is increasingly regarded as unsustainable. We propose here that the exploitation of the plant's innate immune system provides a powerful source for future Integrated Disease Management of vascular fusariosis. The resistance response that plants mount against F. oxysporum is multigenic, i.e. it involves the regulation of a network of genes that function in specific defence signalling pathways. F. oxysporum has developed sophisticated strategies to suppress the activation these defence mechanisms. Recently, the host group has demonstrated that this pathogen secretes a peptide that mimicks RALF (Rapid ALkalinization Factor), a family of plant regulatory peptides which triggers alkalinisation of the host tissue to enhance fungal colonization. It was proposed that Fusarium (F)-RALF target plant defence responses, however, the underlying mechanisms are currently unknown. ARMSRACE will investigate the mode of action of F-RALF in the manipulation of plant defence mechanisms upon infection, by genetically and biochemically dissecting the key defence pathways in the Arabidopsis-Fusarium interaction. This will reveal novel plant components and signalling modules targeted by fungal pathogens, which can be manipulated to increase resistance. The proposal addresses a crucial objective in food security, namely the sustainable control of plant diseases.

Keywords: fungal pathogens,fusarium oxysporim,plant science,plant resistance,defence responses,jasmonic acid,hormonal cross talk,arabidopsis,tomato,sustainable agriculture
A unique mobile optimised site that facilitates the recovery and restoration of deleted smart device files at the point of need, without the need for a desktop computer. (Cloud Recovery)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: United Kingdom
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-04-30
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

People lose data and cannot get it back; people also want to ensure data is deleted permanently (erased). We have achieved proof of concept for an innovative solution to recover deleted items from smartphones and tablets. Cloud Recovery is the only customer data restoration solution from Europe; the others are from China, India and the US, but all of these solutions require a PC. Our project aim is to push the boundaries, and deliver a truly market disruptive SaaS (Software as a Service) data recovery solution that is solely cloud-based (where more data is stored), with data recovered and restored within 10 minutes, without the need for a PC or Mac.

Keywords: document recovery cloud
More and better designed national public support for energy technology Research and Innovation (SMARTSPEND)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Coordination and support actions
Countries involved: Germany,Spain,Spain,Germany,Belgium
Call: Support to sectorial fora (H2020-LC-SC3-2018-Joint-Actions-3, 2018)
Start date: 2018-12-01
End date: 2021-11-30
Duration (months): 36.0
Total project cost (EUR): 942358.75
EU funding (EUR): 942358.75
Participants: 12
Project status: CLOSED

SYNERGIES PILLAR: SMARTSPEND is going to put booster rockets under the SET Plan. It will bring all the non-nuclear energy sectors together for a focused discussion on their common interests around technology development and non-technology barriers to the uptake of their technologies. The partners will then talk in parallel to all Implementation Working Groups to ensure that synergies between the ideas, plans and ambitions of each sector are exploited. This will happen at the start, middle and end of the project. FINANCIAL STRATEGIES PILLAR: SMARTSPEND will also get energy sectors to sit together and discuss their common needs for financing, and compare the way in which each federates its European energy R&I interest and presents it to the Commission. The messages from discussions under both Pillars will be brought to the attention of high-level government officials (ideally ministers) individually through a concerted campaign in SET Plan country capitals. This is SMARTSPEND’s ‘Roadshow’, in which delegations of 5 relevant company bosses are created, briefed, and sent to the minister to tell their story and share their views. In addition, the project will ensure all are better aware of the EU’s soft loan scheme for energy innovation, EDP Innovfin, and of ETS Innovation Fund. Both can complement national or European grants. SMARTSPEND will organise a conference, “Access to Risk Finance” for energy technology developers and the managers of public and private financing or funding schemes. Knowledge of the schemes’ opportunities will be spread widely. The SMARTSPEND consortium has the ideal make-up to reach deep into the community of stakeholders behind each SET Plan energy technology. Leading organisations behind the few technologies not represented in the consortium have sent letters of support to the proposal indicating they will use other funding to join SMARTSPEND’s activities and comment on early versions of its reports.

Keywords: sustainable energy,set plan,financial strategies
Energy Efficiency Watch 4 (EEW4)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Austria,Ireland,Germany,Cyprus,Belgium,Sweden,Bulgaria,Slovenia,France
Call: Supporting public authorities to implement the Energy Union (H2020-LC-SC3-EE-2018, 2018)
Start date: 2019-06-01
End date: 2022-11-30
Duration (months): 42.0
Total project cost (EUR): 1987204.99
EU funding (EUR): 1987204.99
Participants: 12
Project status: SIGNED

EEW4 aims at supporting the engagement of the public sector at all governance levels (Call Part A + partially part B): Supporting public authorities to implement the Energy Union. EEW4 intends to develop narratives for national, regional + local levels. They are key for higher levels of implementation. They combine the aim of decarbonization of EU’s economy with other benefits of energy efficiency, which increase broad acceptance in society for other reasons than climate protection: air quality, modernization, job creation, energy security. Thus, policy instruments are embedded into overarching narratives showing wider benefits for each context. • EEW4 helps MS to fulfil their obligations under EED, taking into account narratives from all across EU. • EEW4 will develop narratives for local, regional and national authorities. • EEW4 addresses all governance levels: the national and EU levels are reached via parliamentary events, surveys with administration representatives; the regional and municipal levels via the network partners Borg&Co/eceee, FEDARENE + EnergyCities. • EEW4 will address all sectors of energy efficiency to represent the full range of benefits. • EEW4 will continuously disseminate project results. It will use stakeholder input for a broad fact base and return the results for testing + dissemination. • EEW4 will enhance political commitment at MS level by creating a broader understanding of the multiple benefits of efficiency. Analysis on poor implementation levels showed, that often in political communication no genuine benefits were used to explain the need for efficiency. Instead, it was referred to ‘enforcement’ of EU directives, an exogeneous matter rather than an intrinsic case. EEW4 aims at breaking this cycle by presenting adequate narratives, case studies on good practice (how to combine policy instruments with supportive narratives), key policy recommendations how to build narratives, by parliamentary, regional and local events.

Keywords: narratives,multi level governance,parliamentary events,policy implementation
Music at the Frontiers of Artificial Creativity and Criticism (MUSAiC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Ireland,Sweden
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 1997918.0
EU funding (EUR): 1987918.0
Participants: 2
Project status: SIGNED

Artificial intelligence (AI) is an especially disruptive technology, impacting a growing number of domains in ways both beneficial and detrimental. It is even showing surprising impacts in the Arts, provoking questions fundamental to philosophy, law, and engineering, not to mention practices in the Arts themselves. MUSAiC is an interdisciplinary research venture confronting questions and challenges at the frontier of the AI disruption of music. It aims to analyze, criticize and fundamentally broaden the AI transformation of three interrelated music practices: 1) listening, 2) composition and performance, and 3) analysis and criticism. For each practice, and grounded in two specific music traditions (Irish and Swedish), MUSAiC will document and critically analyze the impacts of and ethical issues surrounding AI. MUSAiC will formulate and implement the first music pedagogy for AI, the lack of which continues to result in the creation of AI systems that have only a surface knowledge of music. From this pedagogy, MUSAiC will develop new holistic methods for understanding and benchmarking AI, and improving them and their application. It will implement and test novel AI systems that dynamically adapt to specific users as “digital apprentices”, thus bringing human-AI music partnerships to new levels of fruitfulness. The outcomes of MUSAiC will facilitate applications of AI to music in robust and responsible ways, impacting a wide variety of stakeholders. It will not only prepare music practitioners and audiences of the present (human and artificial) for new ways of listening, working, appraising, and developing the art form, but will also pave the way for analyzing, criticizing and broadening the AI transformation of the other Arts. The PI, a leading figure in music AI and music informatics, is employed at a world-leading research department at the top-rated technical university in Sweden. He is also a composer, frequently illustrating his research outcomes through music.

Keywords: music pedagogy for ai
Hypermutated tumors: insight into genome maintenance and cancer vulnerabilities provided by an extreme burden of somatic mutations (HYPER-INSIGHT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Spain
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-02-01
End date: 2024-01-31
Duration (months): 72.0
Total project cost (EUR): 1499812.5
EU funding (EUR): 1499812.5
Participants: 1
Project status: SIGNED

Mutations are the fuel of any evolutionary process, and this also applies to carcinogenesis. The advent of affordable DNA sequencing has enabled mutagenic processes in the human soma to be quantified genome-wide, revealing a striking occurrence of hypermutated tumors. They exhibit an extreme load of somatic changes, often harbouring hundreds of single-nucleotide variants and/or indels per megabase. The HYPER-INSIGHT project is organized into three objectives, which aim to take advantage of the unique opportunity provided by genome sequences of hypermutated and ultramutated tumors. In particular, this work planned in this project aims to further our knowledge on (i) the regional organization of the DNA replication and repair program in human cells, and the determinants thereof, (ii) the extent of selection which acts on somatic variants in various pathways or complexes and (iii) opportunities for selectively targeting DNA repair deficiencies that manifest as hypermutation. Methodologically, our work will employ a three-pronged approach. First, we will perform a multitude of rigorous statistical analyses that draw on the rich and still-expanding resources provided by cancer genomics consortia. Second, we will perform exome and genome sequencing, focusing on ultramutated tumors caused by specific defects in the DNA maintenance machinery. Third, the project involves conditional essentiality screens on cancer cell lines with hypermutant backgrounds. Their goal is to discover synthetic lethality relationships, useful for targeting hypermutating cells, while sparing healthy ones. In summary, one of the promises of cancer genome sequencing projects was to elucidate the mechanisms underlying mutational processes in the human soma, advancing our understanding of this important facet of cancer biology. We will work towards realizing this promise, thereby strengthening the EU’s position in the global scientific endeavour.
Advanced Damage Detection though Optical sensor Network (ADD-ON)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: France,Netherlands
Call: Low cost optical wave guides for damage detection including analysis and aircraft data transfer related to aircraft functional needs with self-testing connection (H2020-CS2-CFP06-2017-01, 2017)
Start date: 2018-03-01
End date: 2021-11-30
Duration (months): 45.0
Total project cost (EUR): 999311.25
EU funding (EUR): 999311.25
Participants: 2
Project status: CLOSED

The main objective of the ADD-ON (Advanced Damage Detection though Optical sensor Network) project is to investigate the feasibility of developing an unique Optical Sensor Network (OSN) to control the various classes of distributed and punctual optical sensors. This solution can monitor, in a variety of profiles of use (in-flight monitoring, on-ground operation), the SHM measurands of interest: delamination, corrosion, cracking, loading and can simultaneously sustain data transfer… This OSN will be designed starting at its conception phase in order to facilitate its integration into aircrafts, considering the specific environmental constraints of aerospace. Several challenges will have to be overcome during the 45-months project, to attain this main objective in collaboration with the Topic Manager. • First, demonstrate the feasibility of using a low cost sensor for delamination and damage detection based on waveguides inscribed into a sol-gel matrix able to be deployed on large surface. • Second, optimize a loading measurement chain based on FBG and using an integrated photonics system all-at-chip level adapted to the aircraft avionics needs. • Third, investigating the feasibility of self-diagnosis for the OSN. During the ADD-ON project, the potential of the OFDR, BOFDA and HR-OTDR sensing techniques will be more particularly evaluated and the best solution will be selected and tested on the small-scale prototype panel (in-lab validation). The ADD-ON concept, methodology, flowchart and associated tasks, subtasks to achieve these goals will be detailed in this proposal. The results from ADD-ON will lead and/or contribute to the following benefits: • Reduction of manufacturing cost due to higher integration • Weight reduction due to multidisciplinary optimization including new certification approach • Enhancement of new multifunctional materials • Manufacturing and assembly skill and capabilities; Structural dynamic and structural analysis tools

Keywords: optical sensors,sol gel materials,optical sensor network,brillouin,rayleigh,optoelectronics,fiber sensing,self testing connections,damage,delamination,loading
Assessing Archaeological Deep Time in Finland through Spatial Exploration 500 BCE - 1520 CE (DeepFIN)

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: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2024-01-01
Duration (months): 24.0
Total project cost (EUR): 190680.96
EU funding (EUR): 190680.96
Participants: 1
Project status: SIGNED

The notion of ‘deep time’, or persistent long-term social and economic patterns in history, has emerged as an increasingly powerful conceptual framework for thinking about the development of past human societies. Owing to its time-depth, the archaeological record offers exemplary and unique opportunities for studying the effects of long-term processes on societies - many of which continue to inform modern demographic patterns. There exists in Finland a considerable body of digitised archaeological material that is well-suited to such analysis. This includes the Finnish Heritage Agency’s (FHA) database of archaeological sites and monuments, but significantly also a growing body of metal-detected public finds recovered by members of the public and recorded by the FHA. This latter represents in the Finnish context a completely new body of material. It has not, however, been examined through Digital Humanities methodologies, nor has the FHA monuments data been the subject of a comprehensive scientific investigation. My research proposes to address this gap in the scholarship. The goal of this two-year project is to analyse Finnish archaeological and historical data through Geographic Information Systems and other Digital Humanities methodologies in order to reassess and create a new understanding of the deep history of archaeological landscapes, historical settlement and material culture development from the Iron Age (500 BCE - 1200/1300 CE) to the Middle Ages (1200/1300 - 1520 CE). This project will identify what long-term and large-scale patterns related to settlements and the material culture emerges from the archaeological data, how they relate to the physical environment, and how they change across time. By employing significantly under-used existing database resources, DeepFIN will create ground-breaking new information on Finnish archaeology and history without recourse to new excavations and data collection.

Keywords: digital humanities,finland,database analysis,landscape archaeology,deep history,metal detected public finds,iron age,middle ages,heritage management,material culture