Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Inventing a Shared Science Diplomacy for Europe (InsSciDE)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Italy,Poland,Norway,Greece,Hungary,Sweden,Sweden,France,United Kingdom,Portugal
Call: Strengthening Europe's position in the global context: science diplomacy and intercultural relations (H2020-SC6-ENG-GLOBALLY-2017, 2017)
Start date: 2017-12-01
End date: 2022-06-30
Duration (months): 55.0
Total project cost (EUR): 2499861.25
EU funding (EUR): 2499861.25
Participants: 20
Project status: CLOSED

iThe European Commission calls for the development of effective science diplomacy (SD) for Europe. InsSciDE – Inventing a Shared Science Diplomacy for Europe – responds to this call with a hypothesis: Member States have a great capital of experience on which to draw. Domestic and transnational initiatives have long used science in global diplomatic engagements, in a diversity of ways and contexts. But this practice is fragmented, unrecognized, or lacking an overall model for leveraging and consolidation. InsSciDE will reveal, formalize and communicate this intangible capital, develop its conceptual bases and elaborate tools to help European SD emerge and blossom. From first questions to final tools and training, we lead this process from inside science diplomacy – hand in hand with its practitioners, potential practitioners and other stakeholders. Those who deploy, direct and benefit from SD are co-inventors, end-users and ambassadors for the project, accompanied by a research consortium associating academic excellence and high competence in stakeholder engagement. An ambitious communication program presents InsSciDEE to an international audience for feedback, widely disseminates the findings and intellectual products, and ensures their legacy. InSScIDE devises a process through which new knowledge on past and present SD in Europe fuels the elaboration of shared policy and training tools. InsSciDE 's five interrelated goals are: Reveal and connect experience; map into theory and strategy frameworks; generate guidance; foster linkages; disseminate and sustain learning. Its high ambitions are made feasible by a project consortium of 14 respected research and training institutes from 11 countries spanning Europe, plus UNESCO; by explicit interest and support from European Academies of Science and from existing networks of diplomatic Attachés and Counselors for science, technology and innovation; and by the commitment of a high-level and diverse Advisory Board.

Keywords: environment,health,heritage,interdisciplinarity,reflexivity,security,space,young leaders
What is an Algorithm? Extensional and Intensional Equivalences between Programs (Walgo)

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: Information Science and Engineering
Countries involved: Denmark
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Programs and Functons both have a mathematically sound definition. Every programmer has an informal idea of what an Algorithm is, yet no formal definition exists and this idea is likely to differ from one person to the other. Despite their lack of definition, Algorithms are central in Computer Science. Thus, finding a correct definition is a major modern challenge. This question is not new and has already been studied by many. It is unlikely that we can close it within a two years timeframe. Yet we have identified two novel ideas to attack the problem along three tracks of increasing difficulty thus ensuring results that will drive a future long term project. The main idea is to avoid a direct confrontation with the definition of Algorithm. We consider "being the same algorithm" as an equivalence between programs and we study the set of all possible equivalences. This will allow the use of the full mathematical arsenal, from set and order theory to algebra and topology, and guide future researches. The second idea is to allow algorithms to be an infinite object, thus opening more possibilities. The Researchers already has a permanent Lecturer position. The fellowship will create the condition for defending the Habilitation thesis and thus reach a position of full professorship with a long term research program based on the results obtained.

Keywords: computability,rice s theorem
Lifelong health, markers of ageing and senescence in a long-lived mammal. (AGEISM)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2017-12-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Given the ageing population in Europe, it is critical to understand the mechanisms involved in growing old. Our ability to reduce the impact of ageing in humans might be best studied in equally long-lived animals. Predicting future changes in longevity patterns might depend on our ability to develop indicators of how old we really are and how many healthy years we have ahead of us, and how those indicators depend on our health history across decades. My study will be the first linking lifelong disease history with physiological and molecular measures of ageing in a mammal as long-lived as humans. I will examine how different molecular ageing markers (telomere dynamics, oxidative stress and telomerase activity) interact with lifelong disease and reproductive history, and current endocrinological measures of stress and reproduction. This helps to better grasp both the mechanisms of ageing and their consequences on senescence rates, thus providing exceptional opportunities to identify the exact role of these markers in evolutionary processes and how they determine ageing rates and individual variation in senescence rates. It would also help us to establish which molecular markers best represent individual health history and to understand how health history can predict ageing rates. To do so, I will combine the world's most comprehensive demographic data on Asian elephants with bi-monthly health and disease records across life and with molecular ageing markers and hormonal correlates of stress and reproduction (N~240). I will determine: Q1.How does health decline with age? Q2.How does lifelong disease exposure and current health link with ageing markers? Q3.How does reproduction affect age-specific declines in health and current ageing markers? Q4.How does early stress affect age-specific declines in health and current ageing markers?

Keywords: health history,ageing mechanisms,senescence,lifespan evolution,long lived mammals
Disruptive Cybersecurity SaaS for SMEs and freelance developers (SCR)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: United Kingdom
Call: Engaging SMEs in security research and development (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-07-01
End date: 2016-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

After obtaining the Seal of Excellence from the EU (Attached), this is an improved version of the proposal. Given the accelerating growth and importance of cybersecurity across many sectors of the economy and society, we have detected and aim to solve the lack of effective security provision in software engineering. Our system automates the vulnerability scanning of software assets and reduces the effort required for development teams to adopt security best practices. Further, our solution reduces costs by 80% compared to hiring consultants for like-for-like tasks. By enabling developers to scan their code before going to production, we can save firms between 3 to 30 times the cost of development, help firms build trust with end-users, empower and educate developers. Confirming market need, the product has been tested and is currently being adopted by 25 companies. The objective of our proposal is to enhance research and development into specific use cases. In particular, we shall focus our efforts on the needs of developers active in the Internet of Things, where security is in its infancy. While our system currently automatically scans ports, web servers, applications and containers, the goal of continued R&D is to expand this disruptive platform to integrate with IoT technologies and platforms to offer scanning encompassing both broader and deeper use cases than the competition, who tend to focus on providing tools to cover compliance standards. Our market is worldwide and shall be targeted through a network of partners and direct online sales via a subscription model. With a balanced, experienced team and carefully architected system, as well as impressive early market traction, we are optimistic about the long term adoption of Secure Secure's services by developers who are growing ever more conscious about the importance of security.

Keywords: security,development,vulnerabilities,automation,cybersecurity,standards,assesment,education,servers,applications,docker,coding
Foundations for computing with infinite linear groups (InfGroups)

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: Mathematics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

This project is in computational group theory (CGT), a novel domain of algebra at the interface with computer science. The main objective of the project is to build up a new area of CGT – computing with groups generated by a finite set of matrices over an infinite field. This entails: (i) development of a methodology to handle the main classes of finitely generated linear groups in a computer; (ii) justification of decidability and solution of fundamental algorithmic problems; and (iii) design of software for practical computation. In particular, we focus on practical algorithms for arithmetic groups, Zariski dense subgroups, and virtually solvable linear groups. The planned results will be the first of their kind. The project will impact group theory by replacing cumbersome methods with straightforward computation, allowing the solution of previously intractable problems. The project will impact other sciences and mathematics overall by providing a means for scientists to carry out effective mathematical experiments in areas where linear groups appear as a mathematical model of transformations. The planned research and related activities (such as the establishment of an international research team) will impact the career of the researcher by bringing her recognition as a leading expert in computational algebra and its applications. Training in computer science in the world-class environment provided by the host, and complementary training in IT skills provided by the industrial partner during secondment, will diversify competencies and career prospects of the researcher. The project is designed to make the host institution a world centre in this new area of computational algebra. The project's communication and public engagement strategy will promote mathematics as a profession for women, thereby impacting EU society by taking measures to redress gender imbalance in STEM.

Keywords: computational group theory,group,algorithm,software,computing,linear group,finitely generated group,arithmetic group,solvable group
Tuneable 2D Nanosheet Networks for Printed Electronics (FUTURE-PRINT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Ireland
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-11-01
End date: 2023-01-31
Duration (months): 75.0
Total project cost (EUR): 2213316.88
EU funding (EUR): 2213316.88
Participants: 1
Project status: CLOSED

In the future, even the most mundane objects will contain electronic circuitry allowing them to gather, process, display and transmit information. The resulting vast network, often called the Internet of Things, will revolutionise society. To realise this will require the ability to produce electronic circuitry extremely cheaply, often on unconventional substrates. This will be achieved through printed electronics, by the assembly of devices from solution (i.e. ink) using methods adapted from printing technology. However, while printed electronics has been advancing rapidly, the development of new, nano-materials-based inks is required for this area to meet its true potential. We believe recent developments in liquid exfoliation of 2D nanosheets have given us the ideal family of materials to revolutionise electronic ink production. Liquid exfoliation can transform layered crystals into suspensions of nanosheets in very large quantities. In this way we can produce liquid-dispersed nanosheets of a wide range of types including conducting (e.g. graphene, MXenes, TiB2 etc), semiconducting (e.g. MoS2, WSe2, GaS, Black phosphorous etc), insulating (e.g. BN, talc) or electrochemically active (e.g. MoO3, Ni(OH)2, MnO2 etc). These nanosheets can be deposited from liquid to form porous networks of defined electronic type. While these networks have huge applications potential, a large amount of work must be done to translate them into working printed devices. In this project, we will develop methods to transform large volume suspensions of exfoliated nanosheets into bespoke 2D inks with properties engineered for a range of specific printed device applications. We will learn to use this 2D ink to print patterned or large area 2D nanosheet networks with controlled structure, allowing us to tune the electrical properties of the network during printing. We will combine networks of different nanosheet types into complex heterostructures. This will allow us to print all device components (electrodes, active layers, dielectrics, energy storage layers) from one contiguous, multi-component network. In this way we will produce 2D network transistors, solar cells, displays and energy storage systems. FUTURE-PRINT will revolutionise electronic inks and will offer a new path forward for printed electronics.

Keywords: nanosheet,network,device
Staphylococcus aureus sRNA targetomes and regulatory networks involved in fast adaptive responses: structure, mechanisms and dynamics (SaRNAReg)

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: Life Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-06-04
End date: 2020-06-03
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 174751.97
Participants: 1
Project status: CLOSED

Staphylococcus aureus is an opportunistic human pathogen responsible for severe nosocomial and community acquired infections. S. aureus has evolved a large number of strategies to regulate the synthesis of multiple virulence factors including the use of small regulatory RNAs (sRNAs). These sRNAs in combination with transcriptional regulators adapt cell growth in response to various stresses and environmental conditions. Hence, the identification of sRNAs regulatory networks is of crucial importance in the fight against emerging multidrug resistant strains. Using recent and innovative technologies (i.e. MS2-affinity purification coupled with RNA sequencing and ribosome profiling), we will investigate biological roles of sRNAs, elucidate their targetomes, and their mechanisms of action that was not possible to obtain with classical genetic and biochemical approaches. This project is aimed to draw comprehensive sRNA regulatory networks, which may contain many new targets regulated by unexpected mechanisms and unravel the deepest mysteries in sRNA field in this major opportunistic pathogen. Finally, sRNA-mediated regulation dynamics will be analyzed with unprecedented scrutiny in single-cell studies. The recent development of techniques to visualize RNA and to monitor gene expression in individual bacterium, offer the possibility to address specific questions related to the dynamics of sRNA regulation. Proposed single cell studies will be crucial to investigate the dynamics of sRNAs-dependent regulation, but also to monitor its impact on a monoclonal population behavior in response to a particular stress. Such analysis will open long term perspectives such as to monitor the influence of the microbiome on S. aureus physiology. It should also pave the way to the identification of novel targets for drug design and to the development of novel antimicrobial compounds. New findings will be commercially exploited through patenting and licensing before publications.

Keywords: staphylococcus aureus regulatory rnas,regulary networks dynamics,single cell responses
Widespread Bacterial CORE Complex Executes Intra- and Inter-Kingdom Cytoplasmic Molecular Trade (BacterialCORE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Israel,United Kingdom
Call: ERC Synergy Grant (ERC-2018-SyG, 2018)
Start date: 2019-04-01
End date: 2025-03-31
Duration (months): 72.0
Total project cost (EUR): 6930796.0
EU funding (EUR): 6930796.0
Participants: 2
Project status: SIGNED

The enormous versatility of bacteria enables the formation of multi-species communities that colonize nearly every niche on earth, making them the dominant life form and a major component of the biomass. Exchange of molecular information among neighboring bacteria in such communities, as well as between bacteria and proximal eukaryotic cells, is key for bacterial success. Yet, the principles controlling these multicellular interactions are poorly defined. Here we describe the identification of a bacterial protein complex, herein termed CORE, whose function is to traffic cytoplasmic molecules among different bacterial species, and between pathogenic bacteria and their human host cells. The CORE is composed of five membrane proteins, highly conserved across the entire bacterial kingdom, providing a ubiquitous platform that facilitates both intra- and inter-kingdom crosstalk. Our preliminary data support the idea that the CORE acts as a shared module for the assembly of larger apparatuses, executing this universal molecular flow among organisms. We propose to elucidate components, structure and biogenesis of the CORE machinery, operating during bacteria-bacteria and pathogen-host interactions. We further aim to provide an unbiased-global view of the extent and identity of cytoplasmic molecules traded via CORE including metabolites, proteins and RNA, and to reveal the criteria determining the specificity of the transported cargo. Furthermore, we intend to decipher the impact of CORE-mediated molecular exchange on bacterial physiology and virulence, and devise anti-CORE compounds to combat pathogenic bacteria. This study is expected to transform the way we currently view bacterial communities and host-pathogen interactions. We anticipate these findings to lead to the development of creative strategies to modulate, predict and even design bacterial communities, and lay the foundation for new and innovative approaches to fight bacterial diseases.

Keywords: bacteriology,bacterial host interaction,injectisome,flagella,enteropathogenic e coli,bacterial infection,bacterial communities,bacterial interspecies interaction,epec
European Data Incubator (EDI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Big Data PPP (cPPP)
Countries involved: Germany,Spain,Spain,Spain,Spain,Italy,Spain,Austria,Belgium,Türkiye,Poland,Slovenia,United Kingdom,Portugal,Portugal,United Kingdom,Portugal
Call: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2021-06-30
Duration (months): 42.0
Total project cost (EUR): 7708441.51
EU funding (EUR): 7142856.76
Participants: 24
Project status: CLOSED

Only 2 out of the top 20 companies changing lives and making money out of Big Data are European. Europe is not playing the role it should in the global market. European Data Incubator project aims to revert this situation. Every company is born as a startup, and Big Data has already proven to be a disruptive technology that can provide substantial changes in traditional and innovative domains. Many SMEs are facing a number of problems when attempting to develop a sort of comprehensive data strategy. The tools required to make successful data management an achievable prospect often require an up-front capital investment. The data remains in silos and its availability or cross-domain value is still unperceived. EDI will help them jump this hurdle providing (1) a free infrastructure with open source tools (2) training on the most known off-the-self solutions (3) support and business services to develop their business idea and (4) equity-free funding. The main objective of the project will be to leverage the technology and knowledge on Big Data across countries and sectors thanks to the incubation of start-ups/SMEs who use Big Data open source tools oriented to sort out major challenges in different business which facilitate their data assets. An experienced consortium will be behind EDI. It is comprised by experts on Big Data technologies, the managers of several acceleration initiatives within the FIWARE Accelerate programme, existing incubators like Deusto Entrepreneurship Centre and etventure Seed Lab and the largest online network for start-ups (F6S). Moreover, 16 data providers, from Finance, Transport, Industry 4.0, Retail, Media&Content, Energy, etc. will provide data to the incubation process. We expect to incubate around 120 companies under a 3-phase incubation programme (funnel approach) launching 3 call for proposals and disbursing up to €5M equity-free and commiting to raise additional financing resources up to €15M for them from private investors mainly.

Keywords: big data,open data,incubator,accelerator,start ups,smes,business development,cascade funding