Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Privacy-Enhancing Cryptography in Distributed Ledgers (PRIViLEDGE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Research and Innovation actions
Partnership: Cybersecurity PPP (cPPP)
Countries involved: Estonia,Italy,Estonia,Cyprus,Switzerland,Greece,Netherlands,United Kingdom
Call: Cybersecurity PPP: Cryptography (H2020-DS-LEIT-2017, 2017)
Start date: 2018-01-01
End date: 2021-06-30
Duration (months): 42.0
Total project cost (EUR): 4518827.5
EU funding (EUR): 4518827.5
Participants: 11
Project status: CLOSED

Blockchain and distributed ledger technologies (DLTs) have emerged as one of the most revolutionary developments in recent years, with the goal of eliminating centralised intermediaries and installing distributed trusted services. They facilitate trustworthy trades and exchanges over the Internet, power cryptocurrencies, ensure transparency for documents, and much more. Although based on cryptographic techniques at their core, the currently deployed DLTs do not address privacy. Indeed, the very idea of a public ledger that stores a verifiable record of transactions at first appears inherently incompatible with the privacy requirements of many potential applications, which use sensitive data such as trade secrets and personal information. New cryptographic techniques and protocols are therefore needed to protect the data, facilitate these applications, and make DLTs deliver on their promises. PRIViLEDGE realises cryptographic protocols supporting privacy, anonymity, and efficient decentralised consensus for DLTs. In PRIViLEDGE, several European key players in cryptographic research and from the fintech and blockchain domains unite to push the limits of cryptographic protocols for privacy and security. Results from PRIViLEDGE are demonstrated through four ledger-based solutions: (1) verifiable online voting; (2) contract validation and execution for insurance; (3) university diploma record ledger; and (4) update mechanism for stake-based ledgers. The selected use cases are diverse and represent the principal application domains of DLT; this ensures wide reach and impact of the techniques developed in PRIViLEDGE beyond the immediate scope of the project.

Keywords: distributed ledger technology,smart contracts,cryptocurrencies,privacy enhancing cryptography,cryptographic ledger protocols,decentralised consensus,online voting,ledger for university diplomas
Looking for Emotions in the Absence of Sight (LEAS)

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: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-12-01
End date: 2023-11-30
Duration (months): 24.0
Total project cost (EUR): 166320.0
EU funding (EUR): 166320.0
Participants: 1
Project status: SIGNED

Affective abilities are crucial for social interactions, as understanding, predicting and responding to emotional signals is necessary for the optimal functioning of daily life. Of note, emotion recognition relies on the detection of salient information, a task chiefly accomplished through vision. As a matter of fact, affective signals are largely conveyed through nonverbal communication, and can be perceived exclusively through sight, as the redness on the cheeks when feeling embarrassed. Indeed, previous behavioral evidence and functional brain data point to the crucial role of sight in emotional processing. Therefore, a question naturally arises: how emotions are experienced/perceived in absence of vision? Specifically, how do congenitally blind individuals describe emotions through language? Is their representation of affective states in the body different from a sighted subject? Do they retain the same mechanisms of emotional coding in the brain? To answer these questions, the proposal (1) will explore the emotion ontology of sighted and congenitally blind individuals, revealing to what extent emotion semantics develops independently from the sense of vision; (2) will study how much the representation of emotional bodily sensations depends on sight; (3) will investigate whether the stream of affect is differently encoded in the brain of sighted and blind individuals. The action will adopt an interdisciplinary approach, exploiting methods ranging from computational linguistics to psychological assessment, as well as from behavioral to neuroimaging investigations. The innovative framework here proposed will advance our knowledge of sensory deprivation and emotion by mapping affective states in language, body and brain. Importantly, the current action will highlight factors influencing the psychological wellbeing of visually impaired subjects and provide new insights to foster their inclusion in a society which strongly depends on sight.

Keywords: sensory deprivation,emotions,blindness,computational linguistics,affective experience,fmri
Postdoctoral Fellowships in Poland to Boost International Mobility and Skills Training (POLONEZ BIS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Poland
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2019, 2019)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 17654400.0
EU funding (EUR): 8827200.0
Participants: 1
Project status: SIGNED

POLONEZ BIS is a postdoctoral Fellowship Programme addressed to excellent experienced researchers interested in developing their professional skills within the stimulating environment of best research institutions in Poland. Open to candidates of any research background, discipline or nationality, the programme plans to recruit 120 scientists with a PhD degree or equivalent research experience, in 3 globally advertised calls. Selected in a transparent, merit-based evaluation process based on international peer-review, the fellows will be offered 2-year full-time employment contracts to work on projects combining basic research with a cross-sectoral secondment phase. Fellows will be independent in designing their own career development plan and will collaborate with outstanding supervisors at an academic or non-academic host institution of their choice. The programme guarantees excellent working conditions inclusive of a generous salary (€ 53,5 K a year, gross), an annual research grant (€ 50 K) and a comprehensive Research Leaders’ Training Programme enhancing both research-related and transferable skills. POLONEZ BIS will be managed by the National Science Centre (NCN), a government agency with over 8-years of experience in funding curiosity-driven research in Poland. To strengthen the programme’s impact, NCN will involve 4 project partner organisations: Careers Research and Advisory Centre to reinforce the fellows’ potential for professional development, Startup HUB Poland to provide insight into the non-academic sector and match fellows with appropriate secondment institutions, Polish Women Scientists Network to conduct Responsible Research and Innovation training as well as support fellows in communication of research results to the general public and the Interdisciplinary Center for Mathematical and Computational Modelling to advise on the choice of appropriate Open Access and Open Data tools to disseminate research results to the scientific community.

Keywords: international mobility,curiosity driven research,cross sectoral experience,transferable skills,networking,financial independence,postdoctoral fellowship,experienced researcher,poland
VIRTUAL REALITY BASED EVALUATION OF MENTAL DISORDERS (VRMIND)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 2011053.75
EU funding (EUR): 1407737.0
Participants: 1
Project status: CLOSED

Mental disorders and neurological conditions affect to at least 20% of worldwide population during lifetime. NESPLORA has developed a new ICT system for the evaluation of a range of mental disorders, called “VRMIND”, based on the use of virtual reality (VR) environments. This technology is characterised by the ability to develop, clinically validate and perform innovative diagnosis procedures that simply cannot be done up to now. The patient, wearing virtual reality glasses and headphones, is introduced in different virtual environments specifically designed to diagnose a family of mental disorders. These virtual environments put the patient through multiple expected and unexpected stimuli, propose to execute different actions and ask to respond different questions. At the same time the system monitors the reactions of the patient and registers multiple variables.

Keywords: virtual reality,neurosicience,diagnostic,adhd,memory,executive fuctions
MACRO CASCADE – Cascading Marine Macroalgal Biorefinery (MACRO CASCADE)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Research and Innovation actions
Partnership: BBI (Art-187)
Countries involved: Iceland,Sweden,Belgium,Belgium,Norway,Belgium,Netherlands,Netherlands,Netherlands,Denmark,Denmark,Denmark,Faroe Islands
Call: Valorisation of aquatic biomass (H2020-BBI-PPP-2015-2-1, 2015)
Start date: 2016-10-01
End date: 2021-03-31
Duration (months): 54.0
Total project cost (EUR): 4316425.88
EU funding (EUR): 4156356.25
Participants: 15
Project status: CLOSED

MACRO CASCADE will prove the concept of the cascading marine macroalgal biorefinery i.e. a production platform that covers the whole technological chain for processing sustainable cultivated macro-algae biomass – also known as seaweed - to highly processed value added products. The macro-algae biorefinery will be capable of processing multiple feedstocks, by deploying a range of mechanical, physicochemical and enzymatic pre-processing and fractionation techniques combined with chemical, enzymatic or microbial conversion refinery techniques for generation of a diversity of added-value products for industries within food, feed, cosmetics, pharmaceutical and fine chemicals. Algae based products for food, feed, cosmetics, pharmaceutical will be tested and documented for their bio-activities and health properties. The participation of two major industries and five SMEs demonstrate a significant commercial interest in the outcome MACRO CASCADE. The MACRO CASCADE approach contributes to the “zero waste society” as the left-over residuals from the biorefinery process can be used for fertilizers and bio-energy.

Keywords: cascading biorefinery,macroalgae,production platform,pre processing,food,feed,bio activity,health,zero waste
Theoretical and empirical approaches to understanding Parallel Adaptation (ParAdapt)

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: Life Sciences
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-11-16
Duration (months): 24.0
Total project cost (EUR): 166156.8
EU funding (EUR): 166156.8
Participants: 1
Project status: CLOSED

Adaptation is a key evolutionary process, allowing organisms to thrive in different environments. Studying adaptation is important for understanding biodiversity, and for addressing pressing issues in conservation and medicine. A crucial question is whether adaptive evolution is repeatable and therefore predictable. Patterns in nature suggest that this may be the case: within many species, similar adaptive phenotypes have evolved repeatedly in multiple geographical locations (“parallel evolution”). However, it is often unclear whether the genomic basis underlying parallel phenotypes is the same across locations (e.g. due to mutations in the same gene, or gene flow between locations). With high-throughput DNA sequencing technologies, it is now possible to address this question in unprecedented detail. However, we are lacking a theoretical framework predicting the genomic basis of parallel evolution, as well as powerful analyses of empirical data. Therefore, here I propose an interdisciplinary approach with the following aims: 1. Using computer simulations to study the effects of demographic history and polygeny on the genomic basis of parallel evolution. This will, for the first time, enable quantitative predictions. 2. Generalising the model outlined in 1. by describing it mathematically. 3. Exploring the genomic basis of parallel evolution in an ideally suited organism. I will identify the most powerful analytical methods, and apply these to generate one of the most comprehensive empirical studies so far. This project will be of use to other researchers conceptually, for making system-specific predictions, and by providing widely applicable workflows. It will facilitate new collaborations between my host group (focusing on mathematical analyses of evolutionary processes) and empirical scientists. In addition, it will complement my existing skills in empirical genomics with a new set of analytical and mathematical skills, opening up the best career possibilities.

Keywords: evolutionary modeling,evolutionary simulations,adaptation,speciation,parallel evolution
Optimizing response to Li treatment through personalized evaluation of individuals with bipolar I disorder: the R-LiNK initiative (R-LiNK)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Spain,Italy,Italy,Norway,Sweden,France,France,France,France,United Kingdom,United Kingdom,United Kingdom,Denmark,Denmark
Call: New concepts in patient stratification (H2020-SC1-2017-Two-Stage-RTD, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 7913612.25
EU funding (EUR): 7702532.25
Participants: 27
Project status: SIGNED

Bipolar disorder (BD) is a prevalent mental disorder and a leading cause of suicide. Lithium (Li) is the key mood stabilizer for prevention of BD relapse and suicide. Whilst many cases become asymptomatic with Li treatment, the majority show sub-optimal response. Identifying biomarkers for predicting Liresponse would enable personalization of treatment, define criteria for stratification of BD cases and further refine the clinical response phenotype. The objectives of this proposal are to (i) improve outcomes of bipolar I disorder (BDI) cases prescribed Li through the application of stratified approaches; (ii) optimize the early prediction of lLi response using a set of multi-modal biomarkers (“blood omics”, Magnetic Resonance Imaging and Li7-Magnetic Resonance Imaging derived-markers); (iii) develop a multidisciplinary multinational network of experts to undertake this and future projects on personalized diagnostics and therapeutics; and (iv) implement new, powerful technologies to characterize brain Li distribution and the blood molecular signature of Li in responders and non-responders. This cutting edge approach will identify the eligibility criteria for treatment with Li in BD in terms of response, safety and tolerability. The assessment of each putative biomarker (singly and combined) will be guided by preliminary findings already obtained by R-LiNK; our expertise will allow exploratory analyses and innovative modelling of multi-modal data. Likely impacts include improved outcomes and quality of life for BDI cases; development of a screening tool for clinicians; and an evaluation of the cost-effectiveness of this stratified approach. The network will develop new avenues of research on Li mechanisms of action and disease mechanisms; our industrial partnerships will enable development of medical devices to improve treatment adherence and patient’s autonomy, diagnostic kits, and tools based on the molecular signature in treatment responders.

Keywords: bipolar disorders,lithium response,prediction,biomarkers,technological development
Enabling wide industrial take-up of high-performance nanomaterials (PROnecto)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

SPNano aims to set new standards for high-quality nanomaterial production and its wide industrial take up. We will path the way for enabling the industrial exploitation of the full characteristics of nanoparticles by introducing the SP1 protein in industrial materials by means of standard industrial processes. Nowadays, two major serious technological problems impede the effective use of nanoparticles such as graphene, carbon nanofibers and carbon nano-tubes. The strong tendency of nanoparticles agglomerates within materials results in the desired properties’ damaged. The successful implementation and optimized utilization of functional nanoparticles into final products requires robust and cost-effective homogenous nanoparticle dispersion within the nanomaterial matrix. However, it is difficult to produce nanoparticle dispersions with specific particle sizes, concentrations, viscosities and purities on an industrial scale (large mass production rate and low energy consumption) . The SP1 protein is the solution for effective means of nanoparticle deagglomeration and dispersion within materials, resulting in the following features enhancement. Nanocomposites: 50% stronger composites parts (CF/epoxy); 180%+ stronger adhesiveness (CF/phenolic); 80%), 25-30% weight reduction of final parts. Conductive inks and yarns < 1 Ω/cm. Low viscosity on conductive inks compatible with ink-jet printing. Nano-coatings: 0,3% SP1 reduces zinc (Zn) content in corrosion protective coatings by 50%. Increase of 400% barrier and wear properties. Nano-adhesives: 100% fracture toughness increase and 80 % increased adhesion. Based on our core technology, empowered by the scalability project and by our collaboration with several prominent players in varies sector, we are forecasting to run a break-even operation by 2021 and generate a total income of approx. 27M by 2024.

Keywords: nano technologies,industrialization and up take,electronics,high performance ccomposites,fibre reinforced plastic frp,fuel reduction,weight reduction,automotive,aeronautics,delamination
Mechanistic links between rheumatoid arthritis and cardiovascular complications: investigation on inflammation induced alterations in induced pluripotent stem cell-derived cardiomyocytes (CVD in RA)

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: Life Sciences
Countries involved: Poland,Poland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2021-03-01
End date: 2023-09-28
Duration (months): 24.0
Total project cost (EUR): 149625.6
EU funding (EUR): 149625.6
Participants: 2
Project status: SIGNED

The aim of this project is to uncover the mechanisms by which patients with rheumatoid arthritis (RA) may have an elevated risk of cardiovascular complications. In particular, we will determine the role of the inflamed joint microenvironment in promoting cellular bioenergetics of cardiomyocytes. We aim to test the hypothesis that cardiomyocytes of RA patients reflect the features of pathological changes that might indicate for the cardiac vulnerability characteristic for this disease. This proposal has three specific objectives: (1) To examine whether exposure of control and RA-specific induced pluripotent stem cells-derived cardiomyocytes (RA-iPSC-CMs) into a joint-like environment recapitulate a cardiac disease-like state; (2) to determine the effect of a joint-like environment on cellular bioenergetics of control and RA-iPSC-derived CMs; and (3) to test whether control and RA-iPSC-CMs can act as a tool to identify potential cardioprotective/cardiotoxic treatment strategies used in RA. This project proposes a truly translational, bench-to-bedside approach building on the strength of the human RA model. We will establish a unique source of functional cardiomyocytes by reprogramming RA synovial fibroblasts and peripheral blood mononuclear cells to iPSC. To investigate the impact of the joint inflammation on cardiomyocytes’ bioenergetics and transcriptomic profile, the state-of-the-art technologies will be applied. The most advanced cell metabolism analyser will be used to quantify real-time measurements of mitochondrial respiration and glycolysis. Global analysis of mRNA and miRNA transcriptome by RNA-seq will allow identifying new cardiomyocyte-specific genes/pathways that might affect cellular metabolism in RA. Using iPSC-CMs will provide a unique opportunity to examine the pathophysiology of cardiac involvement in RA and to evaluate whether they may serve as a preclinical platform for precision medicine.

Keywords: rheumatoid arthritis,cardiomyocytes,ipscs technology,mitochondrial dysfunctions
ARTIFICIAL INTELLIGENCE SOLUTION PROTECTING IDENTITIES FROM FACE RECOGNITION (D-ID)

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

Dramatic advances in Face Recognition (FR) technologies in recent years have led to proliferation of the use of automated recognition of people’s face images, facilitating the identification or the authentication of a person. However, facial recognition can be as scary as it is useful. The statement "Your face is your identity" has become ever more critical with the proliferation of FR. Face images, when stored in enterprise databases or disseminated through the web, pose significant risks of misuse, violation of fundamental privacy rights, unauthorized tracking and even identity theft. These threats are growing swiftly, with the growth of the FR market. As a result, privacy regulations, such as the EU General Data Protection Regulation, now address face images not just as personal information, but as sensitive personal information, subjecting this data to strict privacy protection measures, security standards, and potentially huge fines and lawsuits, in case of data breaches. D-ID™ is a high-risk/high-potential innovation that introduces a disruptive solution to assist companies to privacy-protect face images, while concurrently preserving their visual similarity (hence optimal usability) of the images, thus, strengthening compliance with the EU’s General Data Protection Regulation and reducing the risk for fines/lawsuits, as well as damaged reputation.

Keywords: face recognition,data protection,de identification,privacy protection,identity protection