Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Design and integration of value chains for the processing of marine biomass based on environmental indicators towards a marine biorefiney (SUSTIMAR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-10-01
End date: 2026-01-20
Duration (months): 36.0
Total project cost (EUR): 259398.72
EU funding (EUR): 259398.72
Participants: 1
Project status: SIGNED

More than 30% of the biomass landed by fishing fleets in the ports of Spanish coast constitutes a waste not usable for human consumption, resulting in hundreds of thousands of tons/year of by-products that must be managed urgently to avoid serious environmental pollution problems. To this biomass, we must add the fishing discards that the recent EU policy forces to land in ports. Most of these by-products are used in the production of fish meals, generally of low quality in Spain, in which the biomass undergoes a low valorisation level. Although this type of treatment is necessary to account for some fractions exhibiting low added value, there are other alternatives that maximise the obtaining of compounds of high commercial interest in diverse sectors of application. In this context, the main goal of this IF is to assess different scenarios of valorisation of marine biomass including the design, optimisation and integration of the biocompounds production processes with medium-high value added for the use as bioactive compounds of interest to the food, pharmaceutical or nutraceutical industries, by using more efficient as well as environmental and sustainable practices in a marine biorefinery concept. Based on previous experience with this type of raw material, processes and related methodologies, this project is essentially a research and a development action of optimised protocols for obtaining biocompounds that can be easily transferred to a potential industrial implementation.

Keywords: sustainability,fishery by products and discards,valorisation processes,environmental impact,modelling,optimisation,integration
Literacy’s influence on the production and perception of speech (LIPPS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-01-01
End date: 2022-08-28
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

The main objective of this project is to demonstrate that language-specific grapheme-phoneme correspondences reshape bilinguals’ phonemic space, which has direct consequences for speech production and perception. Moreover, this project will explore fine-grained properties of this recalibration in association with differing levels of bilingualism and language-specific reading proficiency. These goals will be reached by investigating how literacy (i.e., grapheme-phoneme conversion rules) recalibrates language-specific representations of speech sounds (phonemic representations; PRs). I aim to demonstrate that acoustic position and dispersion of PRs in bilingual readers vary depending on a) language-specific orthographic consistency and b) reading proficiency. Populations with differing degrees of bilingualism and reading proficiency will be tested in behavioural and neurophysiological paradigms: The initial stages of bilingualism will be captured by testing Spanish native speakers in a novel phoneme-and-grapheme learning experiment. The advanced stages of bilingualism will be captured by testing Basque-English sequential bilinguals who already built PRs in their second language. Until now, the fields of bilingualism and reading have been studied separately, although the two fields may mutually influence one another. The most innovative aspect of this project is its link between these two formerly unrelated research fields into a new research program, which takes into account the complex interactions between auditory and visual language perception and production in bilingual populations. This project has major implications for models of bilinguals’ language production and perception, which in turn have important implications for education and social policies. Moreover, the project has high relevance for basic research as it is the first to explore long-lasting literacy-induced phonemic recalibration.

Keywords: reading,phonetic recalibration,speech production,speech perception,bilingualism,language learning
EXTRacEllular matrix MEchanochemistry: a solid-state NMR approach (EXTREME)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: United Kingdom
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): 3498825.0
EU funding (EUR): 3498825.0
Participants: 1
Project status: SIGNED

The mechanical properties of structural animal tissues like bone, tendon and skin are determined by the extracellular matrix (ECM) of the tissue, a complex, changeable 3D material that forms a scaffold around the tissue’s cells. The matrix is under constant mechanical stress from our everyday movements. When it is damaged, cells in the tissue repair it; where there is repeated damage, cells must strengthen the matrix, not just repair. Thus, drivers of cell behaviour are encoded into the detailed molecular structure of the ECM. For cells to respond appropriately when they re-structure the ECM – simple repair or strengthen, for example – they need access to its mechanical history. However, there is currently little understanding of how the mechanical history of the ECM is encoded into its molecular structure. New work shows that chemistry happens in the ECM under mechanical strains. Covalent bonds break resulting in chemical modifications to extracellular proteins, the modifications depending on the strain. This suggests Nature has evolved an exquisite mechanism to communicate the mechanical history of the ECM to cells, using mechanochemistry resulting from the forces on the tissues to accumulate specific molecular cues into the ECM. The challenge now is to determine what these ECM mechanochemical modifications are, how cells use them and how they change in ageing and diseases such as diabetes and cancer. There are few methods to probe atomic structures in highly heterogeneous materials such as the ECM. I have developed solid-state NMR (SSNMR) methodology over the last 15 years to determine molecular structure changes and follow chemistry in the ECM. Here, I will develop an SSNMR approach to determine the chemical modifications to the ECM of intact tissues under mechanical deformations. I will use the new methodology to develop important new insight into how cells interpret their environment that will impact on how we understand human diseases and ageing.

Keywords: collagen,extracellular matrix,tissue mechanics
The Neural and Network Dynamics of Social Influence Across Adolescence (Social Smart)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-05-01
End date: 2024-10-31
Duration (months): 66.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Peer influence has long been established as one of the most important factors in almost all aspects of adolescent development and behavior, including academic achievement, prosocial behavior and risk-taking. More recently, peer influence seems to be amplified by developments in social media (e.g. viral risk-taking challenges). However, surprisingly little is known about the mechanisms underlying peer influence, or why adolescents are specifically sensitivity. The primary goal of this proposal is to gain insights in the role of social information in adolescent behavior, by developing a new theoretical framework that will be formalized in novel computational models. First, in contrast with previous accounts, adolescents are not treated as the passive receivers of social information, but considered as agents that play an active role in searching for social information. This search revolves around two main questions: when to search for social information, and who to learn from. To track development in social learning strategies I will develop novel tasks to investigate (1) when, and how much, social information is searched for, and (2) who adolescents will go to. Second, I will employ computational models in combination with functional magnetic imaging to gain insight in how brain development, and pubertal hormones are associated with changes in specific computational processes that are involved in social learning. Thirdly, social learning will for the first time be studied experimentally in real peer social networks. Social network analyses will be used to elucidate the impact of different types of peers, and to study the diffusion of information through peer groups. Our findings will significantly advance our understanding of the mechanisms of social learning in the context of real world social networks. Such fundamental knowledge can inform the development of interventions preventing risk or promoting prosocial behavior and educational outcomes.

Keywords: social network analyses,social learning,adolescent,fmri,brain development
A Cognitive Detection System for Cybersecure Operational Technologies (IDUNN)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Innovation actions
Countries involved: Germany,Spain,Germany,Finland,Finland,France
Call: Intelligent security and privacy management (H2020-SU-DS-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 5158995.0
EU funding (EUR): 4514407.5
Participants: 12
Project status: SIGNED

Data is becoming the core engine of businesses. Data allows extracting, exchanging and sharing value out of the myriad of production and service chains that are no longer under a centralised distribution. As a result, an IT and OT convergence based on the integration of multiple ICT systems will transform market dynamics that present specific security challenges in a context of ever-accelerating change in terms of the threat landscape, attack surface, ecosystems, solutions and regulation. IDUNN’s main objective will focus on adding this trust ingredient to any business by making its ICT systems resilience to cyber-attacks. To achieve that, IDUNN will create a security shield in the form of tools, methodologies, microservices and initial standards compatible with any ICT supply chain. IDUNN will demonstrate a secure Continuity Plan for ICT based organisations by creating and validating a unique Cognitive Detection System for Cybersecure Operational Technologies. Faced with a possible incident, IDUNN will know how to act quickly to alleviate it, and in turn generate a cognitive learning process, which reduces human intervention and provides forecasting capabilities. In this respect, IDUNN will be capable of learning to protect themselves from new threats since they are constantly updated. IDUNN project will develop a complete integrated solution, modular and adaptative to different scenarios. Only when ICT systems behave securely, digital trust will be achieved. The deployment of IDUNN will (i) increase trust in ICT for both IT and OT, (ii) decrease person effort to ensure cybersecurity operations, (iii) increase response and lower recovery time, and above all, (iv) will have a crucial impact in the productivity of any businesses that make use of these secured ICT chains by ensuring that all technologies, services, and tools are defined to guarantee the continuation of the business, providing reasonable effective security and trust for the daily operations.

Keywords: operational technology,industry 4 0,artificial intelligence,threat intelligence,machine learning,distributed ledgers,accountability
High Frequency FET employing 2D materials for gas sensing (HF2ET2D)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-03-15
End date: 2024-03-14
Duration (months): 36.0
Total project cost (EUR): 259398.72
EU funding (EUR): 259398.72
Participants: 1
Project status: SIGNED

Human safety and the protection of air quality would clearly benefit from the deployment of widespread, unattended, wireless networks with gas sensing capabilities. While the Internet of Things (IoT) is on the rise (3.2 billion devices connected by 2023), the 5G will improve IoT performance and reliability. The development of high frequency field effect transistors (HF-FETs) for wireless networks is fuelling the research in a new generation of high frequency electronics employing new nanomaterials. In this context, the HF2ET2D aims at the synthesis of two-dimensional (2D) materials and at the fabrication of HF-FETs in order to realize high frequency gas sensors for being integrated in the new generation of unattended gas sensor networks. Additionally, it aims at improving sensor performance (sensitivity and selectivity) by using surface functionalization and light excitation. 2D materials like black phosphorus, Indium Selenium (InSe) and Platinum Diselenide (PtSe2) are still very new materials, which deserve being investigated further. Their rich electrical-optical-gas sensing properties will allow us to fabricate high frequency FET gas sensors with superior performance. The crystalline quality of these materials, their good carrier mobility and high on/off current will affect the figure of merit of the HF-FETs (maximum frequency of oscillation and the cut-off frequency). Direct band gap, good light absorbance, and high photo-responsivity are interesting factors to enhance the electrical characteristics of the transistors and ameliorate the repeatability and drift issues often experienced with gas sensors. Ultra large surface to volume ratios, rich surface chemistry and favourable surface energy levels for gas adsorption will allow to obtain room temperature gas sensors and avoid the high operation temperature of commercially available metal oxide gas sensors, at an affordable cost.

Keywords: gas sensors,2d materials,high frequency fet,functionalization
Bio-based high-purity isoprene through high-yield technology (Bioprene)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Italy,United Kingdom
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-1-2014, 2014)
Start date: 2015-04-01
End date: 2015-07-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

Visolis represent the future in cheap sustainable isoprene. About 770,000 metric tonnes of Isoprene are produced annually and commonly used in tyres, but also many other rubber applications including medical equipment, toys, shoe soles, textiles. Currently the cheapest way to produce Isoprene is via its extraction from the steam by-product of ethylene production from crude oil cracking. However due to rising crude oil prices, ethylene is being produced more and more via natural gas that does not create isoprene as a by-product, risking a shortage of isoprene and a subsequent rise in its price. In addition, crude oil cracking releases a lot of C0₂ into the environment, about 5.4tonnes of CO₂ during the entire lifecycle procedure, contributing the greenhouse effect. Visolis have developed a new microbe and supporting process technology to produce bio-based high-purity isoprene, bioprene. The solution uses proprietary technology based on a bioengineered microbe that converts renewable materials (plant sugars) into isoprene with a high yield. Therefore Visolis are able to produce isoprene for less than half its current market price through a process that emits 4 times less the amount of CO₂. Visolis’ method can be industrially implemented by retrofitting bioethanol manufacturers existing fermentor systems. Visolis’ bioprocess is at Technology Readiness Level 6 moving towards TRL 9. Phase 1 project aims at assessing the activities needed to standardize the product, scale up to a large pilot implementation and test the market to achieve a sound business model.

Keywords: biobased isoprene,microbe bioengineering,metabolic pathway,alcohol fermentation,sugar cane,bioethanol
DEVELOPMENT AND MARKET UPTAKE OF A GHZ-RATE FIBRE LASER FREQUENCY COMB FOR ELASTIC OPTICAL NETWORKS (LASERCOMB)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
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

FYLA, which is a company highly specialised in the design, production and manufacturing of ultrafast fibre lasers, is requesting the SME instrument for their innovative product LASERCOMB. It is an outstanding fibre laser frequency comb that will enable the new communication paradigm based on Elastic Optical Networks (EONs) and Super-Channels. One of the major challenges of photonics is to provide cost-effective technology to boost the broadband internet and allow current demands in terms of traffic growth, fast network changes and varying traffic. For that purpose, network architecture innovations are needed to get faster, more transparent, dynamic and greener broadband networks, providing super-channels to offer connectivity with a wide range of bandwidths, dynamic over both time and direction. In this context, optical fibre laser combs feeding EONs will fulfil requirements of future core networks. LASERCOMB solution is a fibre laser frequency comb that will enable the new communication paradigm based on EONs and super-channels. It is an ultrafast GHz-rate pulsed optical fibre laser with better performance, flexible design and lower costs than the current state of the art solutions. Regarding flexibility, it is capable of generating a comb of multiple carriers (>1000) to feed multiple channels, offering wide flexibility in the fundamental frequency (1-25GHz) and bandwidth (1.5-20nm) of the carriers. Main advantages of LASERCOMB are: - High quality signals. - Multiple carriers generated from unique source (laser comb), providing coherence between carriers. - Long-term stable emission (hours and days of operation). - Robustness (increase life-time up to 5 times). - Reduce size and weight (at least 80%) - Reduce cost (50% compared to other comb lasers and 75% compared to current transceivers of diode arrays). - Enables multiprotocol technology to be used in optical networks but also in WIFI, Radio, ROF, Satellite, etc.

Keywords: fibre laser,frequency comb laser,elastic optical networks,superchannels,dynamic broadband networks
Anti-L1CAM antibody: A novel efficacious immunotherapy for pancreatic and ovarian cancer patients (Anti-L1CAM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-09-01
End date: 2024-02-29
Duration (months): 54.0
Total project cost (EUR): 4251412.5
EU funding (EUR): 2495176.25
Participants: 1
Project status: TERMINATED

Over 170’000 people in Europe and more than 570’000 people worldwide are affected by pancreatic and ovarian cancer. For pancreatic cancer there currently no efficient therapies available and most patients succumb to the disease within 1 year from diagnosis. In ovarian cancer, first line chemotherapy usually leads to good response rates, however tumors recur in 80-90% of patients and in most cases become resistant to conventional chemotherapy, leading to a low overall 5 year survival rate of only 40%. New effective treatments for pancreatic and ovarian cancer are therefore urgently needed. Elthera AG is a Biotech Start-up company created in 2016 in Switzerland with the goal of developing an anti-L1CAM antibody as a novel efficacious immunotherapy for the treatment of pancreatic and ovarian cancer. L1 cell adhesion molecule (L1CAM) is an adhesion molecule, which is expressed on pancreatic and ovarian tumors, and also on a variety of other tumor types including lung, breast, colon cancer and others. It has been shown to promote tumor progression by a variety of different mechanisms, e.g. by directly stimulating tumor cell proliferation and the formation of metastases, by promoting angiogenesis in tumors, and by mediating resistance of tumor cells to chemotherapeutic agents. We have identified a proprietary mouse antibody against L1CAM, which inhibits the cancer-promoting effects of L1CAM, such as tumor cell proliferation and migration and strongly and significantly reduces tumor growth in mouse models of ovarian and pancreatic cancer. The antibody has been humanized and optimized for affinity and stability and is now ready to enter preclinical and clinical development. If funded, the anti-L1CAM project will allow us to establish a GMP manufacturing process and produce a GMP batch of this antibody which will enable preclinical toxicology and clinical safety and efficacy testing.

Keywords: pancreatic cancer,ovarian cancer,immunooncology,immunotherapy,antibody,l1cam