Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A unique suite of Machine Learning (ML) algorithms to battle cashflow problems in SMEs (Zero1)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2020-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The issue of slow or late payments from buyers can spell disaster for many SME suppliers. Payment terms generally range from 30 to 90 days, with up to 40% of these invoices paid late, creating a serious cashflow problem. As a result, SMEs need access to short-term financing which is both affordable and quick enough to keep up with incoming orders. Yet, banks are reluctant to loan to SMEs and their credit scoring methods are often unfairly harsh on them. Alternative online financing exists for SMEs, but many of these lenders charge elevated fees or don’t get funding to suppliers when it is most needed: at the start of production. Our solution: Zero1 is a unique suite of Machine Learning (ML) algorithms accessed through an easy-to-use web- and cloud-based platform. It is designed to finally solve the SME funding gap (currently estimated at 2,3 trillion € worldwide), allowing supplier SMEs to get funding as soon as they receive an order from their buyer, at an affordable interest rate. We partner with big multi-national buyers, who grant us access to data, such as their historical relationship with a supplier. The suite of ML algorithms is trained to give the supplier a smarter, more holistic credit scoring. The most reliable suppliers automatically get the best terms for borrowing, buyers receive a data fee and private investors get a good net return. The result is a more efficient supply chain, with benefits for all stakeholders and the economy at large. Zero1 is a project by Beledger, a FinTech start-up based in Madrid. The 4 partners have over 40 years’ combined expertise in finance, agri-food, the supply chain and technology, including big data and AI. During this project, we will first target the agri-food sector, an industry with a malfunctioning, wasteful supply chain and very long payment terms. Zero1 will bring Beledger an EBITDA of 6,75M € in Year 5 of commercialisation and allow us to hire 61 people.

Keywords: supply chain finance,smes,machine learning,early stage funding,global sme funding gap,credit scoring,agri food
Water Producing Tree Guard: From Demonstrator to Large Scale Production (TreeSponsh)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Netherlands
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2020-12-01
End date: 2022-01-31
Duration (months): 14.0
Total project cost (EUR): 141160.71
EU funding (EUR): 98812.5
Participants: 1
Project status: CLOSED

Sponsh aims to be the first company selling a self-watering tree guard to turn barren earth into green lands. Sponsh has developed the only hygroscopic temperature-sensitive smart textile in the world that can repeatedly absorb water from the air and releasing it, using natural temperature cycles of day and night. The goal of Sponsh is to provide water from air for 1 billion young trees by 2040 and providing affordable water for everyone. The envisaged innovations of this TreeSponsh project are the chemical product development and testing of the Sponsh’ technology to match manufacturing requirements to be able to scale-up and to enrol the self-watering tree guard in reforestation projects, and afterwards in commercial forestation and arid farming. In order to execute the TreeSponsh project, Sponsh is in need of a PhD-level interdisciplinary scientist who can work in an international, interdisciplinary company, in an academic and industrial environment. The key added value of the IA for Sponsh is his/her combination of knowledge in material science for substrates (textile) and hydrogels, to develop automation of the manufacturing process of Sponsh’ technology to be able to scale-up and replicate the production line all over the world, thereby de-risking the entire TreeSponsh project and assuring a real delivery of the Sponsh’ technology worldwide. The SME Innovation Associate mobility programme will support Sponsh to overcome these barriers in accessing scarce skills as it will provide access to a bigger international network and visibility in the international labour market and to be able to screen a large portfolio of international profiles. Additionally, the grant would help to offer a competitive salary, specialized training opportunities, and it will facilitate the execution of 2020 Sponsh employment plan. Importantly, this grant will facilitate the relocation of the IA by reimbursing the costs involved.

Keywords: applied chemistry,hygroscopic textile,water shortage,temperature sensitive,self watering,tree guard
TikTok and Generation Z: Online Participation and Identification in China and Italy (TKTKGEN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,China
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 164036.16
EU funding (EUR): 164036.16
Participants: 2
Project status: TERMINATED

The fastest growing social media application, with over 1.4 billion downloads and 800 million active users worldwide as of September 2020, the video-sharing social network TikTok is a key site to explore the digital culture of so-called "generation Z", comprising those who have been born since the late 1990s, and are now teenagers or in their early 20s. TikTok’s 15 second videos, comprising dance crazes, internet challenges and lip-syncs at the tune of famous pop songs point to different social media logic compared to text-based social media such as Facebook and Twitter, often accused of having become a space for raucous confrontation. While in public discourse much has been made about the different orientation underpining TikTok online communities vis-a-vis "first generation social media" systematic and in-depth research is necessary to assess these claims and understand the new "style of online participation" emerging on this platform and its consequences for identity, group membership and community. What are the dominant subjective motivations and the “ethos” that informs TikTok communities? How do practices of imitation and emulation seen in the context of dance crazes and internet challenges enforce a sense of group belonging? And what are the political implications of these trends? The TKTKGEN global fellowship will combine social media analysis and focus groups to examine emerging forms of participation and identification in TikTok communities. It will comprise a 12-month outgoing phase at Fudan University in Shanghai to receive training in new digital methods and study Chinese TikTok communities and a 12 month incoming phase at Scuola Normale Superiore in Florence to study sociological theories of participation and investigate Italian TikTok users. The project will result in high quality and innovative research outputs and contribute to European research excellence on social media, youth culture and digital methods.

Keywords: social media,tiktok,participation,generation z,belonging,digital methods,china,italy
Regularity properties, definability and combinatorics on the real line. (REGPROP)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-03-01
End date: 2019-02-28
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

This proposed research is in mathematical logic and foundations of mathematics, more specifically in set theory. It is motivated by the interplay between regularity properties and definability for subsets of real numbers. By "regularity properties" we are referring to certain desirable properties of sets, and by "definability" to the logical description of such sets, in the sense of Descriptive Set Theory. The study of such questions goes back to classical issues in topology, analysis and related fields of mathematics, raised by the great pioneers of abstract mathematics of the late 19th and early 20th century, such as Georg Cantor, Emile Borel, Henri Lebesgue and others. These mathematicians were faced with seemingly insurmountable challenges which could only be resolved later with the advent of logical and meta-mathematical methods, developed by Kurt Gödel in 1938 and by Paul Cohen in 1964. Since that time, the study of Regularity Properties has continued to hold a central position in the foundations of mathematics. Many mathematicians and logicians of high status and prestige have contributed to this area, among them W. Hugh Woodin (winner of the Hausdorff Medal 2013), Stevo Todorčević (winner of the CRM-Fields-PIMS prize 2012) and Saharon Shelah (winner of numerous awards, among them the Erdös Prize 1977 and the Karp Prize 1983). We propose to contribute to this line of research in a number of interrelated directions, such as: studying new regularity properties (relevant to other fields of mathematics), developing abstract frameworks for such properties, studying higher complexity classes, and generalising results to spaces other than the classical real numbers. Several technical results involving the method of "forcing" needed to construct models of set theory, will also be worked out along the way.

Keywords: set theory,mathematical logic,descriptive set theory,regularity properties,forcing
A cost and time effective blood test to detect multiple bloodborne diseases (Safe-Blood)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In the European Union alone, 15 million blood donations are collected annually, but supply of sufficient and safe donor blood remains a continuous struggle. Blood can save lives; however, it also carries the potential to transmit life-threatening infections. Potential donors are screened using a questionnaire aimed to identify risk carriers. As risk carriers do not equal disease carriers, thousands of potential donors are excluded to prevent one single case of a transfusion-transmitted disease. Subsequently, blood donations are screened for infectious diseases in the laboratory with one test for each disease. WAMA Diagnostics is a Swiss-founded company with the ambition to disrupt the in vitro diagnostics market with affordable and reliable tests to diagnose infectious diseases. WAMA has the expertise and technology to convert multiple tests into one single test, reducing time and money. WAMA is developing the Safe-Blood test to simultaneously screen for HIV, Hepatitis B, Hepatitis C, Syphilis, HTLV and Chagas in a single test. Our preliminary cost-benefit analysis demonstrates the potential to reduce the screening costs from €70 - €250 per donor to €15 per donor. 1,400 European blood donation banks are responsible for the collection of the 15 million blood donations per year. The global blood screening market is expected to grow from €1.3 billion in 2015 with a Compound Annual Growth Rate of 10.2% to €3.1 billion in 2024. The competition is offering solely monoplex tests: one test for one disease. There are currently no players on the blood screening market that use multiplex tests to screen for multiple diseases simultaneously, and the Safe-Blood test will hold a unique position in the market. WAMA will use the SMEi phase 1 funding to assess the feasibility and commercial potential of Safe-Blood via a user involvement study, a stakeholder engagement study, and a market study to identify the best business model to be applied in the EU.

Keywords: blood donation,blood screening,blood transfusion,in vitro diagnostic,multiplex assay,bloodborne pathogens,hepatitis b,hepatitis c,htlv,syphilis,chagas disease
Air Quality: Worldwide Analysis and Forecasting of Atmospheric Composition for Health (AQ-WATCH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European research in support of international space partnerships
Action type: Research and Innovation actions
Countries involved: Spain,Israel,Germany,China,Finland,France,France,Czechia,Netherlands,United States,Chile
Call: International Cooperation Copernicus – Designing EO downstream applications with international partners (H2020-SPACE-2019, 2019)
Start date: 2020-01-01
End date: 2023-06-30
Duration (months): 42.0
Total project cost (EUR): 2386270.0
EU funding (EUR): 1999770.0
Participants: 12
Project status: SIGNED

AQ-WATCH will develop a supply chain leading to the generation of seven downstream products and services that are innovative for improving air quality forecasts and attribution. These prototypes will be based on existing space and in situ observations of air quality and tailored to the identified needs of international users. The project will allow for the first time small and medium enterprises (SMEs) to integrate a very large number of datasets associated with earth’s observations with advanced predictive models. These innovative products and services are aimed at improving public health and optimizing service provided by the energy sector in different regions of the world. The consortium supporting the project includes knowledge institutes, applied science organizations and business-oriented partners, and covers the required expertise to define the optimal functionalities of the products and services, and bring them to the market. The project will create opportunities for new environmental technologies. It will also upscale the portfolio of SMEs and reinforce their ethical and social responsibility in support of the world-wide effort to improve air quality.

Keywords: air quality,health,satellites,model predictions,products and services
Provenance for Data-Intensive Systems (ProDIS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Israel
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2018-12-01
End date: 2024-11-30
Duration (months): 72.0
Total project cost (EUR): 1306250.0
EU funding (EUR): 1306250.0
Participants: 1
Project status: SIGNED

In the context of data-intensive systems, data provenance captures the way in which data is used, combined and manipulated by the system. Provenance information can for instance be used to reveal whether data was illegitimately used, to reason about hypothetical data modifications, to assess the trustworthiness of a computation result, or to explain the rationale underlying the computation. As data-intensive systems constantly grow in use, in complexity and in the size of data they manipulate, provenance tracking becomes of paramount importance. In its absence, it is next to impossible to follow the flow of data through the system. This in turn is extremely harmful for the quality of results, for enforcing policies, and for the public trust in the systems. Despite important advancements in research on data provenance, and its possible revolutionary impact, it is unfortunately uncommon for practical data-intensive systems to support provenance tracking. The goal of the proposed research is to develop models, algorithms and tools that facilitate provenance tracking for a wide range of data-intensive systems, that can be applied to large-scale data analytics, allowing to explain and reason about the computation that took place. Towards this goal, we will address the following main objectives: (1) supporting provenance for modern data analytics frameworks such as data exploration and data science, (2) overcoming the computational overhead incurred by provenance tracking, (3) the development of user-friendly, provenance-based analysis tools and (4) experimental validation based on the development of prototype tools and benchmarks.

Keywords: data provenance,data modeling,data intensive systems
ENRICH in the USA (ENRICH in the USA)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Coordination and support actions
Countries involved: Germany,Hungary,France,United States,Portugal
Call: Centres/Networks of European research and innovation: follow-up of the NearUS action (H2020-IBA-SC6-Near-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 1000000.0
EU funding (EUR): 1000000.0
Participants: 7
Project status: SIGNED

The ENRICH in the USA project is the continuation of the 42-months long NearUS project (2017-2020), aiming to set up and pilot the European Network of Research and Innovation Centre and Hub in the USA. The objective of the ENRICH in the USA is to capitalise on the NearUS experience, to reinforce the Network and support innovation exchange and commercialization across the Atlantic by educating, preparing, mentoring, and supporting European Research and Innovation actors. ENRICH in the USA serves the needs of EU innovators by providing standardized services and offering soft-landing opportunities across the USA, including through sector-specific Landing Hubs, as such embedding them into welcoming and nurturing local ecosystems. The services are built around three pillars: Education, Connections and Soft-landing. Furthermore, ENRICH in the USA aims to be accessible to innovation stakeholders from all EU MS/AC, and to especially support “underserved” entrepreneurs in Europe, as such unlocking their hidden potential. The business plan of ENRICH in the USA envisages a sustainable path through growing revenues from the Network activity. ENRICH in the USA is building a brand in Europe and the US, providing a long-term asset and return on investment to the European Union.

Keywords: research and innovation,international cooperation,innovative start ups and smes,deep tech,business development,eu us collaboration,european network of research and innovation centres and hubs us
Frontier Research on the Dielectric Properties of Biological Tissue (BIOELECPRO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Ireland
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-10-01
End date: 2020-09-30
Duration (months): 60.0
Total project cost (EUR): 1499329.0
EU funding (EUR): 1499329.0
Participants: 1
Project status: CLOSED

The dielectric properties of biological tissues are of fundamental importance to the understanding of the interaction of electromagnetic fields with the human body. These properties are used to determine the safety of electronic devices, and in the design, development and refinement of electromagnetic medical imaging and therapeutic devices. Many historical studies have aimed to establish the dielectric properties of a broad range of tissues. A growing number of recent studies have sought to more accurately estimate these dielectric properties by standardising measurement procedures, and in some cases, measuring the dielectric properties in-vivo. However, these studies have often produced results in direct conflict with historical studies, casting doubt on the accuracy of the currently utilised dielectric properties. At best, this uncertainty could significantly delay the development of electromagnetic imaging or therapeutic medical devices. At worst, the health dangers of electromagnetic radiation could be under-estimated. The applicant will embark upon frontier research to develop improved methods and standards for the measurement of the dielectric properties of biological tissue. The research programme will accelerate the design and development of electromagnetic imaging and therapeutic devices, at a time when the technology is gaining significant momentum. The primary objective of the research is to develop a deep understanding of the fundamental factors which contribute to errors in dielectric property measurement. These factors will include in-vivo/ex-vivo measurements and dielectric measurement method used, amongst many others. Secondly, a new open-access repository of dielectric measurements will be created based on a greatly enhanced understanding of the mechanisms underlying dielectric property measurement. Finally, new electromagnetic-based imaging and therapeutic medical devices will be investigated, based on the solid foundation of dielectric data.

Keywords: dielectric properties,biological tissue,electromagnetics