Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Smart HydroGEL SYStems – From Bioinspired Design to Soft Electronics and Machines (GEL-SYS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Austria
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 1499975.0
EU funding (EUR): 1499975.0
Participants: 1
Project status: SIGNED

Hydrogels evolved as versatile building blocks of life – we all are in essence gel-embodied soft machines. Drawing inspiration from the diversity found in living creatures, GEL-SYS will develop a set of concepts, materials approaches and design rules for wide ranging classes of soft, hydrogel-based electronic, ionic and photonic devices in three core aims. Aim (A) will pursue a high level of complexity in soft, yet tough biomimetic devices and machines by introducing nature-inspired instant strong bonds between hydrogels and antagonistic materials – from soft and elastic to hard and brittle. Building on these newly developed interfaces, aim (B) will pursue biocompatible hydrogel electronics with iontronic transducers and large area multimodal sensor arrays for a new class of medical tools and health monitors. Aim (C) will foster the current soft revolution of robotics with self-sensing, transparent grippers not occluding objects and workspace. A soft robotic visual system with hydrogel-based adaptive optical elements and ultraflexible photosensor arrays will allow robots to see while grasping. Autonomous operation will be a central question in soft systems, tackled with tough stretchable batteries and energy harvesting from mechanical motion on small and large scales with soft membranes. GEL-SYS will use our experience on soft, “imperceptible” electronics and devices. By fusing this technology platform with tough hydrogels - nature’s most pluripotent ingredient of soft machines - we aim to create the next generation of bionic systems. The envisioned hybrids promise new discoveries in the nonlinear mechanical responses of soft systems, and may allow exploiting triggered elastic instabilities for unconventional locomotion. Exploring soft matter, intimately united with solid materials, will trigger novel concepts for medical equipment, healthcare, consumer electronics, energy harvesting from renewable sources and in robotics, with imminent impact on our society.

Keywords: soft matter,tough hydrogels,imperceptible electronics,soft machines,extreme mechanics
Evolift - Getting people out of harms way (Evolift)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Evolift provides the worlds first remote controlled marine technology lifting unit solutions that are able to connect and release cargo that are moving due to waves, wind and current on the surface of the sea, remote controlled without the direct involvement of man-power. Consequently we save time, eliminate risk of injury and death and make unmanned loading and offloading of boats, buoys, and cargo on sea vessels and oil rigs a possibility. This is solving a huge challenge that have to be solved if autonomous ships and rigs are to become a realistic alternativ and the solution can further be developed to release and connect in subsea lifting operations without the assistance of Remote Operated subsea Vessels (ROVs) or divers. Without people, cargo transferal at sea can happen at a wider weather window, thus avoiding waiting periods and allowing route planning which lead to shorter routes, fewer lifts and significant lower carbon emission as Platform Supply Vessels (PSV) release 900 kg Co2 per our of running. Shorter routes brings down barriers to electrification of the propulsion systems of PSVs The offshore lifting decks in marine lifting operations in the oil industry, fish farming industry and other industries at sea are some of the most dangerous places to work at and over represented with regards to injuries and fatal accidents. 10 out of 16 accidents from 1994-2017 where lifting related non the Norwegian shelf. A solution for this safety issue is long sought after in marine lifting operations world wide. The technology is patented and will be a game changer and disrupt the way lifting operations are conducted today. We are basically making existing lifting operations risk free by moving personell out of the danger zone by eliminating the hooking on and off operations. For the lifting operations of the future, this enables un-manned vessels and rigs with unmanned cranes to operate on their own or be operated from a control room onshore at headquarter.

Keywords: offshore lifting operations oil drilling rig crane operator offshore supply vessel oilservice supply operations fishfarming marine deck oilrig hsseq supply vessel base marine operations logistics
Hybrid Nanostructured Oligonucleotide Platforms for Biomedical Applications (Nano-OligoMed)

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: Chemistry
Countries involved: Italy,Italy,Spain,Italy,Cuba,France,United States,Canada
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2017-12-01
End date: 2022-11-30
Duration (months): 60.0
Total project cost (EUR): 598500.0
EU funding (EUR): 598500.0
Participants: 8
Project status: CLOSED

Nanotechnology has received widespread attention in the last several decades due to the technological breakthroughs it has enabled across sectors from electronics to medicine. Towards the great challenges that nanotechnology arise, Nano-OligoMed has the ambition to establish and support a network of international collaboration, enabling a collaborative scientific team to effectively use a diversity of approaches and strategies to generate and test hybrid nanomaterials for the efficient and safe systemic delivery of oligonucleotide-based therapeutic agents. To this end, we have set-up a joint multidisciplinary scientific collaborative programme that through exchange, international mobility, and strongly collaborative transfer of knowledge and training activities between 4 European and 3 extra-European countries, will bring together leading experts under the field of “nanomaterials in biomedicine”. The scientific aim of Nano-OligoMed is the creation of degradable hybrid structures that combine the rigid, inert silica with the delicate programmable oligonucleotides or artificial oligonucleotide-mimics. The possibility to develop novel oligonucleotide-based materials will enable a) the degradation of the drug carrier at the presence of a specific input as a function of the intrinsic bio-responsive feature of oligonucleotides, b) the activation of a therapeutic function as a result of the bio-molecular interaction between the oligonucleotide-based material and the molecular target (i.e. miRNAs) and c) the delivery of the chemical payload (DNA and/or artificial mimics, even in combination with cancer drugs) upon cell internalization. The international academic networking, the broadening of the research skills, the educational activities, will provide to young (PhD students) and senior scientists, specific competences in the field of materials sciences, nanotechnology, molecular biology and molecular medicine.

Keywords: dna nanotechnology,hybrid supramolecular chemistry,rnai,smart drug delivery
Targeting DNA repair pathways, sparking anti cancer immunity (TARGET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Italy
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2489232.0
EU funding (EUR): 2489232.0
Participants: 1
Project status: SIGNED

This project will test for the first time the hypothesis that therapeutic inactivation of DNA repair pathways in cancer cells can be exploited for patient benefit by reawakening an anti-tumor immune response. Genomic instability and molecular heterogeneity, which occur in cancer cells with DNA repair deficiencies, fuel tumour progression and are associated with poor outcome. An exception is represented by Mismatch repair (MMR) deficient cancers as these tumours are exceedingly genetically heterogeneous but show favourable prognosis and remarkable response to immunotherapy. The molecular basis for the clinical outcome of MMR deficient cancers has long remained a mystery. Only recently it has become apparent that their biological properties are associated with increased levels of mutations, which unleash adaptive immunity and trigger immunosurveillance. We have reported that when MMR is impaired, cancers cells grow in immune-deficient mice but are unable to do so in immune competent animals. MMR inactivation increased the mutational burden and led to dynamic mutational profiles, resulting in persistent renewal of neoantigens and engagements of antigen-specific T cells. These data suggest an unprecedented high risk-high gain approach: the pharmacological blockade of proteins involved in DNA-repair as an anticancer therapy. This unconventional strategy builds on the concept that the immune system can identify and selectively target tumor cells carrying DNA alterations. Using in vitro and in vivo functional assays we will systematically assess whether and how inactivation of DNA repair genes provokes an immune response and restrict cancer growth. Notably, TARGET will discover and develop inhibitors of MMR and other DNA repair proteins that induce tumor immunity. The identification of DNA repair pathways which, when disabled, reawaken the immune system will provide transformative knowledge and could lead to the development of an entirely new class of anticancer drugs.

Keywords: cancer,genomics,cell biology,immunology,oncology,immunotherapy,bioinformatic,tumor immunity,medicinal chemistry and computational biology
Artificial Intelligence for Lyrics Comprehension (LyrAIcs)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Spain
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-05-01
End date: 2023-04-30
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The age of machine learning and data analytics have changed the habits of entertainment. Recommendation systems have been improving in the last years, with relevant commercial purposes, and many top-level companies –such as Amazon, Google or Netflix- are investing high amounts of money in improving their algorithms based on Artificial Intelligence. The case of music has been especially relevant, as the market has drastically changed in the last 10 years, moving towards a user-centric streaming model, where user preferences make the difference and dynamic playlists are the key of streaming success. Recommenders are built based on three main strategies: 1) similarities between songs that are identified by their soundwaves; 2) classification using conventional tags for songs, such as author, genre, period or, in some cases, mood; and 3) collaborative tagging by users. In this context, song lyrics (the text of songs) are barely considered for the improvement of these strategies. Moreover, recommendations based on lyrics are done by hand with uneven criteria and filters. This Proof of Concept proposes the creation of an AI based recommendation engine (i.e. web service API) for analyzing song lyrics using POSTDATA ERC Project algorithms as its technical scaffold. Natural Language Processing tools for poetry analysis will be used to build a web service API to process lyrics and extract knowledge as additional metadata to enrich the companies´recommender systems. This approach will open an exciting opportunity to contribute to boosting the music entertainment world using artificial intelligence and language technologies.

Keywords: song lyrics,music information retrieval,natural language processing,artificial intelligence,sentiment,analysis,content rating
Wallco quality modular solid wood furniture (Wallco)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Slovenia
Call: SME business model innovation (H2020-SMEINST-1-2015, 2015)
Start date: 2015-10-01
End date: 2016-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Wallco will develop furniture designed to meet the needs of people by creating modular wooden furniture that is creative, sustainable, versatile, user-friendly, and developed with user-led design paradigms. This concept will provide useful furniture that meets the changing demands of users for years to come and is founded on sustainability concepts including renewable material use, recycling, and material cascading. Conceptually, Wallco’s modular wood furniture follows the LEGO toy bricks paradigm – widely customisable, reusable, repurposable, easy to work with, and fun. In addition to the versatility of LEGO Bricks, their use prompts creativity and offers endless options with a very successful underlying business model. Like LEGO Bricks, Wallco will provide a business model based on expansion of the owners collection. The versatility of the product will prompt users to come up with their own uses for the product, generating demand for expanding the owner’s collection of components as their needs and preferences change. The novelty of this project is the combination of both the innovative products and the innovative service that supports our products. The innovative products are quality modular solid wood furniture that are very versatile. The supporting service will include online and physical furniture stores where customers have access to our products and learn about the advantages that Wallco products and support service offer.

Keywords: dynamic tailor fitting,space saving design,sustainability,circular economy,affordability,engaged user community
Abiota, Biota, Constraints in Macroevolutionary Processes (macroevolution.abc)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Norway
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 1990213.0
EU funding (EUR): 1990213.0
Participants: 1
Project status: SIGNED

To what degree do microevolutionary processes that happen on a generational time scale matter for macroevolutionary patterns recorded on time scales of millions of years in the fossil record? To answer this fundamental question in evolutionary biology, we need a model system in which we can overcome the conceptual and empirical boundaries imposed by disparate timescales. macroevolution.abc will develop bryozoans as the Drosophila of macroevolution, integrating molecular, fossil, phenotypic, ecological and environmental data to shed light on the currently inaccessible “Dark Time Scale” (thousands, to tens of thousands of years), spanning the chasm between microevolution studied by population geneticists and evolutionary ecologists and macroevolution studied by paleontologists and comparative phylogeneticists. Using bryozoans, a little-known but uniquely ideal study group for evolutionary questions, I will generate, then cross-integrate, (i) empirical time series of intra- and interspecific biotic interactions; (ii) phenotypic data describing variation within genetic individuals, variation among contemporaneous individuals in both extinct and living populations; (iii) robust estimates of abundance shifts in fossil populations; and (iv) speciation and extinction rate estimates from molecular phylogenies and the fossil record. The new bryozoan model evolutionary system will provide answers to previously intractable questions such as “do ecological interactions crucial for individual survival matter for group diversification patterns observed on geological time scales” and “why do we have to wait a million years for bursts of phenotypic change”?

Keywords: macroevolution,paleobiology,marine invertebrates
Regional turboprop loads control through active and passive technologies (RELOAD)

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: Netherlands,United Kingdom
Call: Aerodynamic characterization of control devices for wing loads control and aircraft response characterization of a regional turboprop aircraft (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2015-12-01
End date: 2019-03-31
Duration (months): 40.0
Total project cost (EUR): 499350.0
EU funding (EUR): 499350.0
Participants: 2
Project status: CLOSED

A number of active and passive Loads Control and Alleviation concepts and technologies will be proposed, developed and evaluated. Aerodynamic design of an innovative spoiler will be undertaken, followed by a detailed aerodynamic characterisation of the spoiler and aileron capability for active loads control alleviation, conducted by means of CFD simulations and Wind Tunnel Tests. Novel passive loads alleviation concepts, such as passively morphing aerofoils using thickness and stiffness tailored skins or memory polymer skins and passively floating flaps, are going to be investigated and evaluated. A structural concept for an aeroelastic winglet for passive loads alleviation in manoeuvres and gusts will be developed.

Keywords: load alleviation,load control
Managing Affective-learning THrough Intelligent atoms and Smart InteractionS (MATHISIS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Italy,Spain,Italy,Italy,Germany,Spain,Greece,Belgium,Greece,Lithuania,France,France,Netherlands,United Kingdom,United Kingdom
Call: Technologies for better human learning and teaching (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2019-03-31
Duration (months): 39.0
Total project cost (EUR): 7569030.38
EU funding (EUR): 6531895.0
Participants: 20
Project status: CLOSED

The MaTHiSiS learning vision is to provide a product-system for vocational training and mainstream education for both individuals with an intellectual disablity and non-diagnosed ones. This product-system consists of an integrated platform, along with a set of re-usable learning components (educational material, digital educational artefacts etc.), which will respond to the needs of a future educational framework, as drawn by the call, and provide capabilities for: i) adaptive learning, ii) automatic feedback, iii) automatic assessment of learner’s progress and behavioural state, iv) affective learning and v) game-based learning. To achieve these educational innovative goals, the MaTHiSiS project will introduce a novel methodology in the education process. The so-called learning graphs which, acting as a novel educational structural tool and associated with specific learning goals, will foster novel ways to guide how the different learning material and artefacts can be deployed throughout a prespecified learning scenario. The building materials of these graphs are drawn from a set of Smart Learning Atoms (SLAs) which will constitute the vertices of the graphs. SLAs are learning elements that carry stand-alone pieces of learning materials, targeting certain problems. More than one SLAs, working together on the same graph, will be able to help individuals reach their learning/training goals. The learning goals as well as the SLAs involved will be decided and pre-agreed based on common practices, goals derived from formal and non-formal education (general education, vocational training, lifelong training or specific skills learning) as well as learner’s own goals (so as to equally serve in-formal education contexts).

Keywords: smart learning atoms,adaptable and personalized learning graph,formal informal non formal education,non linear training,game based learning
A Rigorous Approach to Consistency in Cloud Databases (RACCOON)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Spain
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-01-01
End date: 2022-12-31
Duration (months): 72.0
Total project cost (EUR): 1498312.0
EU funding (EUR): 1498312.0
Participants: 1
Project status: CLOSED

Modern Internet services store data in novel cloud databases, which partition and replicate the data across a large number of machines and a wide geographical span. To achieve high availability and scalability, cloud databases need to maximise the parallelism of data processing. Unfortunately, this leads them to weaken the guarantees they provide about data consistency to applications. The resulting programming models are very challenging to use correctly, and we currently do not have advanced methods and tools that would help programmers in this task. The goal of the project is to develop a synergy of novel reasoning methods, static analysis tools and database implementation techniques that maximally exploit parallelism inside cloud databases, while enabling application programmers to ensure correctness. We intend to achieve this by first developing methods for reasoning formally about how weakening the consistency guarantees provided by cloud databases affects application correctness and the parallelism allowed inside the databases. This will build on techniques from the areas of programming languages and software verification. The resulting theory will then serve as a basis for practical implementation techniques and tools that harness database parallelism, but only to the extent such that its side effects do not compromise application correctness. The proposed project is high-risk, because it aims not only to develop a rigorous theory of consistency in cloud databases, but also to apply it to practical systems design. The project is also high-gain, since it will push the envelope in availability, scalability and cost-effectiveness of cloud databases.

Keywords: static analysis,program logics,distributed databases,cloud computing,parallelism