Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Unwanted catches of trawl fisheries: ecosystem effects and advances to an integrated management approach in the Mediterranean (FishMan)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2020-08-08
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

There is an urgent need to address the environmental effects of fishing in order to maintain healthy marine ecosystems that provide the services societies want and need. This problem is addressed in the new Common Fisheries Policy by encouraging the adoption of an Ecosystem Approach to Fisheries, including as a matter of priority the reduction of unwanted catches. In line with this policy, the project aims to address the ecosystem effects of commercial trawling, including the unwanted catches problem, and generate knowledge that will contribute to the adoption of EAF. The project is structured in several inter-disciplinar activities, starting with gathering existing information on fishing effort, catches, benthic species and habitats from trawling grounds in the NW Mediterranean. The information will be analysed to assess the vulnerability of by-catch species to trawling, and the Good Environmental Status of benthic ecosystems. The novelty of the research approach will be increased by the adoption of a social-ecological framework. Interviews with the principal stakeholders will aim to assess their perception on the services provided by ecosystems from trawling grounds, and identify priority areas for fisheries and for conservation. The vulnerability, GES and ecosystem services valorisation will be used to propose scenarios of alternative fishing strategies that minimise the negative effects on ecosystems, while taking into account societal priorities. Then, size-spectra mathematical models will be explored to assess the ecosystem response to the different scenarios, aiming to identify the optimal management alternatives. The project structure will follow the principles of a participatory approach, by taking into account fishermen’ perceptions on potential management alternatives, which will allow exploring real-world scenarios.

Keywords: trawl fisheries,unwanted catches,good environmental status,participatory approach,ecosystem,services,mediterranean sea
Bioorthogonal Metal-Peptide Catalysis (BioMPCat)

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: Chemistry
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-03-01
End date: 2019-02-28
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

In recent years, the development of bioorthogonal reactions has had a profound impact on several research areas such as imaging, drug development, biochemistry, and biotechnology. However, further advances in this topic are hindered by the limited number of biocompatible chemical transformations and by their rather modest reaction rate. BioMPCat (Bioorthogonal Metal-Peptide Catalysis) aims at overcoming the current limitations by establishing metal-peptide complexes as a novel and powerful class of bioorthogonal catalysts capable of promoting unprecedented transformations with remarkable efficiency under physiological conditions. Naturally occurring peptides are ideally suited ligands for metals and, due to the inherent large structural and functional diversity, the chemical properties of their metal-complexes can be tuned to display optimal catalytic features: reactivity, selectivity, stability, and biocompatibility. Using simple and rationally designed combinatorial assays, the BioMPCat project will allow the identification of lead catalysts structures for biomolecules ligations as well as for site-selective cleavage of native proteins. The novel catalytic concepts will be established by: (1) identifying a non-toxic and highly effective Cu-peptide catalyst for the alkyne-azide cycloaddition reaction, which could render such important transformation compatible with the cellular environment; (2) developing a general approach to site-selective cleavage of native proteins based on the identification of a hydrolytically-active Zn-peptide complex. The research proposed herein will allow unprecedented investigations at the interface between chemistry and biology: new perspectives in biochemistry and cell biology will be opened, as well as novel avenues in medicinal chemistry and therapeutics.

Keywords: bioorthogonal chemistry,catalysis
Evidence Based Big Data Benchmarking to Improve Business Performance (DataBench)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: BDVA (cPPP)
Countries involved: Germany,Italy,Spain,Bulgaria,Norway,Slovenia,Netherlands,United Kingdom
Call: Big data PPP: Support, industrial skills, benchmarking and evaluation (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2020-12-31
Duration (months): 36.0
Total project cost (EUR): 2240988.75
EU funding (EUR): 2240988.75
Participants: 10
Project status: CLOSED

Organisations rely on evidence from the Benchmarking domain to provide answers to how their processes are performing. There is extensive information on how and why to perform technical benchmarks for the specific management and analytics processes, but there is a lack of objective, evidence-based methods to measure the correlation between Big Data Technology (BDT) benchmarks and an organisation’s business benchmarks and demonstrate return on investment. When more than one benchmarking tool exists for a given need, there is even less evidence as to how these tools compare to each other, and how the results can affect their business objectives. At the heart of the DataBench project is the goal to design a benchmarking process helping European organizations developing BDT to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance. DataBench will investigate existing Big Data benchmarking tools and projects, identify the main gaps, provide a robust set of metrics to compare technical results coming from those tools. It will provide a framework to associate those technical results with the economic processes that are imperative to a company. It will provide a robust set of benchmarks to assess which tools respond best and provide the most pertinent information for organisation’s economic planning and respond to their current and emerging industrial needs. It will provide a software tool which the industrial and research community users can leverage to do this evaluation. DataBench will interact with ICT14 and 15 projects to give access to this tool and framework to leverage the Big Data benchmarking investment so far carried out in the benchmarking community, contributing to the success of the BDV-PPP. The project envisions continuous interaction with the leading BDT suppliers and industrial user communities, and has a strong relationship with the BDV cPPP.

Keywords: benchmarking,benchmark,data stream analysis,data management,real time data,analytics,big data,big data technologies,business performance,performance metrics,tool,return on investment
GENOTYPE - ENDOPHENOTYPE ASSOCIATIONS IN PSYCHOSIS (GENDOSIS)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-15
End date: 2019-07-14
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Psychotic disorders impose an increasing burden on the health of the European population, with an estimated five million affected individuals. As available drugs remain ineffective for 30% of the patients and come with many secondary effects, there is urgent need to develop effective and safe therapeutic agents. Due to the high heritability of psychotic disorders, genetics shows great potential to inform the molecular mechanisms behind their pathogenesis. However, the information we have gathered on psychosis genetics has not translated into improved therapeutics yet, due to, among other reasons, two big limitations: poor knowledge of the mechanisms behind the genetics – psychosis relation and high levels of heterogeneity at the molecular level in the patient population. The research program we present aims at relieving the burden of these limitations using a genotype – endophenotype mapping strategy to shed light on disease mechanisms and identify genetic variants to be used in a patient-stratification analysis. Using a large dataset of psychosis patients, unaffected relatives and unrelated controls with genotypic and endophenotypic data we will perform a comprehensive genotype – endophenotype mapping through genome-wide linkage and association analyses. The results of the mapping will be fed into a patient stratification strategy coupling unsupervised clustering with a machine-learning construction of a classifier. The final objective is to identify genetic subtypes of psychosis, provide a classifier for these subtypes and build subtype-specific genotype – endophenotype association maps. This potentially high-impact result-generating research program, along with a five-course training program, Dr. Bramon’s supervision and the excellent research environment provided by UCL, will allow me to acquire the scientific and transferable skills and build the collaboration network necessary to launch my career as an independent researcher.

Keywords: psychosis,endophenotypes,linkage,gwas,quantitative trait loci,snps,cnvs,rare mutations,epistasis,unsupervised clustering,genetic subtypes,machine learning,classifier
Federal state against cities: Immigrant incorporation in the context of new immigrant reception (FEDCIT)

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: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-09-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 166156.8
EU funding (EUR): 166156.8
Participants: 1
Project status: CLOSED

The unprecedented number of newcomers in the past year provides an immense challenge to federal state and local authorities, who have to co-ordinate the provision of policies and funds for incorporating immigrants into society. This comparative study seeks to understand the role of federal states for the incorporation of immigrants in the context of the recent influx of asylum seekers in Germany and Austria in 2015. Few studies have so far investigated the role of federal states in immigrant incorporation and no research has yet been carried out on the character of federal state immigrant incorporation policies that captures institutional structures, officials and immigrant spokespersons’ agency as well as the role of power in the design and implementation of these policies. By bringing together debates on multi-level governance as well as cities as scale the research advances our concepts of the governance of immigrant incorporation in a globalised and interconnected world. Using mixed methods, the project applies an institutional ethnography of federal state ministries responsible for immigrant incorporation that allows tracing internal processes of policy development and observing interactions between the involved institutions and actors. The yielded thick description is combined with economic data as well as interview data and policy documents. By deploying a comparative research design that consists of case studies in four federal states (Baden Württemberg and Saxony, Upper Austria and Burgenland), two of which are located in Germany and two in Austria, the project identifies the impact of different factors on federal states’ immigrant incorporation policies, namely the national level’s stance towards immigration, the regions’ economic positionality, and local actors’ active lobbying on the federal state level.
Artificial Intelligence based cybersecurity for connected and automated vehicles (CARAMEL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Austria,Germany,Germany,Germany,Germany,Spain,Cyprus,Greece,Korea, Republic of,Netherlands,Netherlands,United Kingdom,Portugal
Call: Dynamic countering of cyber-attacks (H2020-SU-ICT-2018, 2018)
Start date: 2019-10-01
End date: 2022-06-30
Duration (months): 33.0
Total project cost (EUR): 7033655.1
EU funding (EUR): 4998503.51
Participants: 22
Project status: CLOSED

The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors’ firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. CARAMEL’s goal is to proactively address modern vehicle cybersecurity challenges applying advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques, and also to continuously seek methods to mitigate associated safety risks. In order to address cybersecurity considerations for the already here autonomous and connected vehicles, well established methodologies coming from the ICT sector will be adopted, allowing to assess vulnerabilities and potential cyberattack impacts. Although past initiatives and cybersecurity projects related to the automotive industry have reached to security assurance frameworks for networked vehicles, several newly introduced technological dimensions like 5G, autopilots, and smart charging of Electric Vehicles (EVs) introduce cybersecurity gaps, not addressed satisfactorily yet. Considering the entire supply chain of automotive operations, CARAMEL targets to reach to commercial anti-hacking IDS/IPS products for the European automotive cybersecurity and to demonstrate their value through extensive attack and penetration scenarios.

Keywords: cybersecurity,connected vehicles,autonomous vehicles,electrical vehicles,intrusion detection,intrusion prevention
Clinical assessment of PILA PHARMA’s TRPV1 antagonist, XEN-D0501, as a novel type of oral anti-diabetic agent (XEND)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The XEND project aims to take key steps towards establishing a transient receptor potential vanilloid (TRPV1) antagonist, XEN-D0501, as a novel oral treatment for Type 2 diabetes (T2D). Diabetes is a constantly growing global epidemic. According to recent estimation, 422 million people worldwide are affected by the disease with a prevalence rate of 8.3%, and 46.3% still remains undiagnosed. Due to high risks of complications and related problems from mismanagement, closely controlling the treatment of diabetes is a primary concern for physicians and patients alike. Most commonly, the first recommendation is to address poor dieting habits and lifestyle modifications. This is followed by the first-line treatment of Metformin, which is recommended as an oral anti-diabetes drug that is used to help control glycemic levels in patients with diabetes when lifestyle modifications alone are insufficient. Pila Pharma has identified key missing components in the treatment of T2D. Through the XEND project, we will validate and begin steps towards out-licencing the first TRPV1 antagonist that has potential to constitute the cornerstone of an innovative first in- class drug for T2D treatment. The market potential of XEN-D0501, lies in its capacity to fill the existing market niche for efficient and safe TRPV1 antagonists and offer a new treatment option with improved Quality of Life to the increasing number of T2D patients. Pila Pharma will use the SME Instrument (Phase 1 and 2) to prepare and conduct a full Phase 2 Clinical trial. Further, we will begin engaging potential partnerships to take the drug through Phase III trials and ultimately to market. The clinical uptake of XEN-D0501 in Europe will meet the clinical and socioeconomic needs associated with diabetes.

Keywords: diabetes,pharmaceuticals,disease control
Device and method for automatized egg cell inspection and sorting (EggSorter)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: Switzerland
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-03, 2018)
Start date: 2019-06-01
End date: 2020-02-29
Duration (months): 9.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

This project aims at bringing to the market a device that combines innovative micro-engineering design and machine learning methods to automatically inspect and sort miniature biological entities, in particular the egg of zebrafish Danio rerio, which is a common model for studies in genetics, development biology or toxicology. This EggSorter device will have a direct impact in research groups at universities and in the industry that are intensively using such organism in their studies, and that have to invest a large amount of resources for tedious tasks such as the manual sorting of thousands of egg cells every day, or the continuous inspection of these organisms for several hours or days. During this project, we will collaborate with end-users to estimate the technology readiness level of the device for the identified markets, using prototypes that were developed during the recently finished FET ASSISIbf project. In conjunction with the assessment of this technology, we will create a business plan that will include a study of the market opportunities and possible strategies for industrialization and commercialization of the device. Finally, we will create a roadmap for the initialization of a spin-off, which goal will be to bring to the market a product that will not only simplify the work of hundreds of researchers around the world, but also allow to identify novel features related to the development of embryo inside egg cells and new drug discoveries, which will have a high impact on the society in the future.
JobCity: addressing global youth unemployment by revolutionising psychometrics to enable Multiple Mass Psychometric Testing (MMPT) through online gamification (JobCity)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: United Kingdom
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2015, 2015)
Start date: 2015-09-01
End date: 2016-02-29
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Linkko Partners Ltd aims to develop a disruptive technology to revolutionise employment psychometrics by enabling Multiple Mass Psychometric Testing (MMPT) through gamification, with particular attention to the worldwide problem of youth unemployment. The key objectives of the Project: • Create Multiple Mass Psychometric Tests delivered through an accessible online game • Develop multi-platform, youth-friendly software for users to access in their own environment • Develop language packs to allow a single core product version rollout in multiple countries • Report on Aptitudes, Skills, Abilities & Preferences (ASAP), creating a Profile in minutes • Deliver results in a fraction of the time of paper tests and at a fraction of the cost • Develop a robust scalable cloud infrastructure to allow 1,000s of simultaneous tests & evaluations • Identify barriers to employment for non-academic/low qualification jobseekers • Reveal latent skill-sets that can match talents with job opportunities • Allow incarcerated young offenders the opportunity to develop an employment plan before release • Create an innovative framework for new dialogue between jobseekers and career advisors • Stimulate entrepreneurial aspirations by identifying talents and interests. • To achieve an accumulated 5 year ROI of 6,803% Only a radical new approach such as ours will foster a sea change in the attitude of how to support the young unemployed, especially with those who may not have succeeded academically at school, the so called ‘Hardest to Help’. Wider and more detailed evaluations create better careers advice, new choices and opportunities to explore new entrepreneurial/employed career paths. For the initial target group (Not in Education, Employment or Training) even further education could now be recognised as developing the user’s own individual interests and skill-set rather than an automatic process that is compulsory in some EU countries.

Keywords: youth unemployment,multiple mass psychometric testing,psychometrics,gamification