Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
protecting the environment from oil-based lubricants (NZERO)

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

Every year skiers, cyclists and surfers go to enjoy the great outdoors. What they often not realise is that the waxes and lubricants that their equipment uses are made from oil and that they are depositing damaging hydrocarbons in the environment. These deposits damage the soil composition and poison fresh water reducing species, restricting plant growth and limit biodiversity. As such it can also enter the human food chain and cause serious harm to the body. So the very thing that outdoor sports practitioners crave and love to be in contact with (the environment), they are damaging. Marteen Sports World has been founded with the objective to reduce such chemicals and oil in nature. We have developed the world´s first fully natural bio-degradable ski wax for which we have received a coveted ISPO and an eco-ski award. We now request SME Instrument funding to develop product for a new sports category and to fully investigate markets and channels to maximise our success and scale our company. By 2023 we predict sales of 5.6M EUR and growth to 26 employees, this is important to us, but we are also really driven to foster better understanding and the take-up of environmentally friendly outdoor materials for other sectors such as biking, surfing etc.

Keywords: ecological wax
The establishment of cross-border operating “Scaleup Labs” to increase the efficiency of the scaling support in specific industry verticals: Health, AgTech, Smart Region and Agile Manufacturing. (Scaleup4Europe)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Austria,Austria,Germany,Serbia,Slovenia
Call: Startup Europe for Growth and Innovation Radar (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2022-12-31
Duration (months): 36.0
Total project cost (EUR): 1731010.0
EU funding (EUR): 1464802.0
Participants: 7
Project status: CLOSED

The project’s objective is the establishment of four cross-border operating “Scaleup Labs”. The Scaleup Labs are based on the ”living lab” concept and support qualifying scaleups in achieving “Proof of Scalability”. This proof is achieved when scaleups comply with all requirements of general technological, market, organizational and investor readiness, their innovation is adapted to specific customer need and successful scaleup-corporate relationship is established. “Scaleup4Europe”: five partners, four ecosystems: • Berchtesgadener Land Wirtschaftsservice, Germany, a regional economic development agency - project lead. • UnternehmerTUM Germany, a leading startup hub of the Technical University of Munich. • Pioneers, Austria, one of the largest start-up and investor networks across Europe. • Pomurski tehnoloski park, Slovenia, a deep tech support ecosystem and member of pan-European Digitial Innovation Hub network Agile Manufacturing and Robotics. • Chamber of Commerce and Industry, Serbia, the association of all enterprises, including startups in Serbia. The project partners propose to set up a Scaleup Lab in each ecosystem for a specific industry vertical. The Scaleup Labs will provide deep tech start-ups with a structured open innovation approach in which they can achieve cross-border market success, through first successful collaborations with corporate customers, investors and/or public institutions. The Scaleup Labs will bring together corporates with needs for innovation, scaleups with matching solutions, experts from research and the European network of specialized Digital Innovation Hubs and other existing services such as the Startup Europe one-stop-shop. The Scaleup Labs will detect innovators and develop programmes for startups ready to provide their solutions to new markets. This includes acceleration tools such as Scaleup Camps as well as Investor and Business Matching Tools to adapt innovations to specific enterprise demand.

Keywords: scale up,innovation,deep tech,health,smart region,agtech,agile manufacturing
A new method for dynamic opinion modelling of surveys applied to vaccine hesitancy data (DYNAMOD-VACCINE-DATA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2023-05-31
Duration (months): 36.0
Total project cost (EUR): 294886.08
EU funding (EUR): 294886.08
Participants: 1
Project status: SIGNED

Vaccine hesitancy (delaying or refusing of vaccination) has been identified by the World Health Organization as one of the top-ten threats to global health. The spreading of vaccine-hesitancy in society is a complex phenomenon and no method can currently predict which countries will become vulnerable to this threat. Opinion dynamics models have enormous – as yet unrealised – potential to identify countries where vaccine-hesitant opinions are likely to spread or be resisted. They simulate the evolution of public opinion with computational models in which agents interact based on simple rules, with the goal of precisely modelling the spread of opinions in networks. However, while many successful theoretical models exist, few have been run on empirical data. This is because most models require detailed network information and are therefore not compatible with common data types (i.e. survey data). In this project, I will develop a novel method for reconstructing social network information from survey responses alone. First, the method will be validated using simulations. Then, it will be applied to secondary vaccine-hesitancy survey datasets to compare the predictive capability of different opinion dynamics models in this context. This study will provide two main outputs. First, a toolkit to identify societies most vulnerable to vaccine-hesitancy opinion spreading. Second, a method for inferring underlying social networks from survey data. This will have general value for research on any social issue related to opinion-coordination, e.g. climate change; GMOs etc. This fellowship will transfer my mathematical and computational modelling expertise to my hosts. At the same time, it will provide me with synergistic expertise in social science and network science as a platform for my research career in computational social science.

Keywords: computational social science,vaccine hesitancy,survey,opinion dynamics,cultural diffusion,attitude,social network,network reconstruction,predictive model
Advanced System for Eco, Energy and Cost Efficient, Comfortable and Secure Smart Homes (HIQ-Home)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Slovenia
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Current smart homes are not as “smart” and user-friendly as promoted. They enable household monitoring and appliance control with several new HW and SW solutions and extensive manuals, but do not automatically adapt to the user’s living habits. Moreover, studies showed that smart home schedules set by the users are widely inefficient thus contributing to excessive energy usage. Initial tests show that up to 33% of energy saving can be achieved with our innovative approach. The presented product tries to breach the gap between the users and a truly smart home by introducing an on-demand cloud service that implements multi-criteria optimization and dynamic user profiling methods in order to optimize performance in any smart building and in particular connected into a smart city. Moreover, the user can only qualitatively set a couple of parameters and then select one of the control strategies proposed by the system, dealing with balance of energy preserving, comfort and security. Optimization methods achieve even higher energy savings with alternative energy sources, e.g., photovoltaic energy. The technological feasibility of the project was already verified on a small house prototype. The market potential for the presented service is extremely high, with the revenue growth estimated to reach $51.77 billion by 2020, at an estimated CAGR of 29.5%. Several key players like Google are entering the market indicating another global dominance. We are in contact with several global market providers to speed-up the commercialization of our product. During the feasibility study we will mainly focus on market analysis, user needs, the range of provided services and functionalities, and the pricing mechanisms. Additional technology verification for a large scale application will be conducted and the need for cooperation with third-party institutions will be assessed. The important result of the study will be the feasibility report that includes a detailed business plan.

Keywords: smart home,optimization,dynamic user profiling,multi objective optimization,cloud service,energy consumption
Smart Biologics: Developing New Tools in Glycobiology (SWEETOOLS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Czechia
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-02-01
End date: 2021-07-31
Duration (months): 66.0
Total project cost (EUR): 1405625.0
EU funding (EUR): 1405625.0
Participants: 1
Project status: CLOSED

Glycans are ubiquitous biomolecules found throughout all kingdoms of life. Early studies contributed considerably to our appreciation of glycan functions by showing that abnormalities in the glycosylation can develop into pathogenesis and severe dysfunctions. Despite the crucial role of sugars in many biological events we still do not have adequate tools to decipher their complexity. To unveil the mysteries in the rapidly emerging field of glycobiology we aim in this proposal to develop new tools that will help us to study and understand these important biomolecules. To realize this, we plan to combine the unique targeting capability of biologics with the inhibitory effect of small molecules into robust constructs with advanced properties. The biological part of the construct will be evolved using synthetic peptide libraries ensuring high selectivity toward particular sugar processing enzymes. The second part of the construct will consist of small molecular inhibitor warhead that will be designed and synthesized based on crystal structure-aided analyses. To merge these two moieties we aim to develop a new target enzyme–templated fluorogenic in situ click chemistry methodology that will enable us to easily monitor and screen whole peptide–small molecule bioconjugate libraries as highly selective inhibitors and manipulators of sugar processing enzymes. In addition, we aim to create new multivalent heteroglycosystems by using bioorthogonal reactions on peptide library scaffold. These structures will enable us to study polyvalent carbohydrate–protein interactions and to generate novel therapeutics such as influenza virus entry blockers. Our goal is to develop a new class of smart bioconjugate probes that will help us to answer fundamental questions in glycobiology. The outcomes of this project will significantly deepen our knowledge of glycoconjugates and in the long term, will allow for the design of efficient vaccines and for the development of selective therapeutics.

Keywords: click chemistry,glycosidase inhibitors,chemical glycobiology,synthetic peptide libraries
Deployment of support services aiming at enhancing the innovation management capacity and projects of SMEs based in the Hauts de France region (EURACTE-INNOV III)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: France
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 105713.75
EU funding (EUR): 105713.5
Participants: 3
Project status: CLOSED

The project EURACTE-INNOV III proposed by the consortium Enterprise Europe Network EURACTE II aims at the deployment of two support services aiming at enhancing the innovation management capacity and projects of SMEs based in the new Hauts de France region (covering the previous Nord – Pas de Calais and Picardie regions), thus generating growth and competitiveness among local actors : The first service targets successful applicants under the SME instrument scheme, i.e. “SME Instrument beneficiaries”. The aim of this service is to detect weaknesses in the projects, help the SMEs identify a coach who is competent in the particular field in order to efficiently accompany the SME in finding solutions to the identified challenges, and follow up and facilitate the SME-coach relationship in order to maximize the probability of the project to access the targeted market successfully. The second support service, “Enhancing SME innovation management capacity”, aims at helping regional SMEs with potential for international growth, to consolidate their innovation strategy and management, in order to generate more structured innovation projects and increase their chances of success on the European market. The overall objective is to allow those SMEs to reach the required capacities to access to funding under Horizon 2020 R&D programs.

Keywords: innovation management capacity enhancement,key account manager,sme instrument
European companies will be more competitive by Invoice Risk Prediction and a Truly Transparent and Fair Global Factoring Spot Market. (IRP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-04-01
End date: 2022-08-31
Duration (months): 29.0
Total project cost (EUR): 2291847.5
EU funding (EUR): 1604293.25
Participants: 1
Project status: CLOSED

INVOIER has introduced a global, scalable and disruptive model for companies short term financing of working capital. With unique risk measurement tool we are giving the EU companies a competitive advantage, resulting in the following value proposition: *Lower cost of companies’ working capital *Risk reduction in customer losses for the European companies *Proposition of a new adjusted returns for institutional investors looking for a new asset class INVOIER offers first-of-its-kind real time Invoice Spot Market with better risk classification. At the heart of our solution is an AI element which makes possible a much more focused and accurate risk assessment as our tool is able to predict the actual pay-day of the traded invoice. Thus, with the AI element in place we are able to introduce a unique and completely new way of measuring risk for individual receivables as opposed to risk with individual companies. By harnessing our AI soution to the INVOIER Invoice Spot Market, we will deliver a wholly new level of market transparency and engagement on the part of: the sellers - who will now be able to participate more actively knowing the market value of their invoices (real time prices) and buyers – getting access to completely new asset classification. INVOIER’s solution will have normalizing effect on prices and operation as well as leveling the playing field between key participants on the market.

Keywords: factoring,risk classification
Unique Materials for Advanced Aerospace Applications (UMA3)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Italy,Germany,Spain,Spain,Greece,Belgium,Hungary
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2020-09-01
End date: 2023-08-31
Duration (months): 36.0
Total project cost (EUR): 899187.5
EU funding (EUR): 899187.5
Participants: 8
Project status: SIGNED

The concept of integrated knowledge centre UMA3 (Unique Materials for Advanced Aerospace Applications) is based on creation a value chain of knowledge of research entities in the scope of powder metallurgy process, additive manufacturing, surface technology (coatings) and fully 3D investigations. In this period of disruptions when innovation is redefining future success of organizations, it is extremely important to provide a coherent network, allowing for transnational cooperation for researchers and industry. The project members join forces to develop new material systems and create new solutions, while using their competencies (knowledge, human resources, infrastructures) and cooperating in synergistic. The multi-step process of the project (from theoretical elaboration and experimental engineering to computational modelling) will remarkably contribute to existing know-how and concept-driven, market-based innovation and scientific & research progress as well. Knowledge transfer between partners is realized on each topic, led by an internationally recognized researcher. The implementation of the UMA3 is linked to the Regional Smart Specialization Strategy (RIS3) for Advanced Vehicle and Machine Engineering Technologies and Intelligent Technologies for Research and Development of Special Materials at county level. The implementation of the project is fitted on Institution Development Plan of the University of Miskolc in the framework of Centre for Excellence of Advanced Materials and Technologies and carried out by Special Materials Scientific Workshop: in Modern materials, Nanotechnology, Aerospace Applications topic.

Keywords: advanced materials,aerospace and aeronautical application,additive manufacturing,powder,metallurgy,excellence centre
New Peptide-Polyoxometalate Hybrids for Antimicrobial Photothermal Therapy (PPOM-PTT)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Antimicrobial resistance is a global challenge which is threatening the life and health of people from every country and region. Basically, most of the chemical or biological interferences may cause resistance to some extent. Recently, photothermal therapy (PTT) is attracting increasing attentions in anticancer researches and bringing enormous impacts in our scientific community. Inspired by this progress, we plan to construct a new class of peptides-polyoxometalates (PPOMs) hybrids for antimicrobial photothermal therapy. We do believe that this project will create a new research orientation in the interdisciplinary boundary between POM chemistry, photothermal therapy and antimicrobial therapy. To this end, we propose a reasonable route divided into three steps: (i) developing a series of PPOMs by covalent or noncovalent linkage of three kinds of POMs and epsilon-poly-L-lysines with 10, 15, 20, 25, 30 repeating units; (ii) endowing PPOMs with photothermal capacities by chemical reduction and establishing a standard method for photothermal antimicrobial experiments based on PPOMs; (iii) evaluating their photothermal antimicrobial activity against non-resistant and ampicillin-resistant E. coli and exploring their potentials to tackle the antimicrobial resistance. This proposal is appropriate for both beneficiary and host. Ms. She has experience in POM synthesis, anticancer therapy and self-assembly, which will be vital in this research. Besides, the expertise in Cronin’s group involving POMs, peptides synthesis, antibacterial evaluation and material characterization will be crucial for this proposal. More importantly, this project will become one step further in the research direction of Cronin's group. To conclude, this project will exert a strong influence in the field of POM chemistry and antimicrobial research, and the bilateral success between host and beneficiary will be achieved.

Keywords: antimicrobial research
Unrivalled AI powered document handling and data extraction system (Archii)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-03-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

For any SME, document management becomes a nightmare once it starts to grow and generates vast amount of legal and financial documents. The implications of improper document management range from missing/lost documents to unfavourable business decisions to non-compliance. To solve this problem, other companies have launched (intelligent) document management solutions (DMS), but these products often come with several drawbacks, e.g., product being project based and for large corporations, not plug-n-play (requires extensive pre-training), and still requires manual input from employees (not fully automatic). These drawbacks cause the existing solutions to become expensive, inefficient and time consuming, in turn, forcing SMEs to opt out. ARCHII, a Danish SME, was founded solely to fulfil this unmet need of a highly accurate, efficient, fully automatic and cheap DMS for SMEs worldwide. The resulting solution - “Archii” - relies on artificial intelligence to identify and organize legal and financial documents. Archii has been trained with 50 thousand real company documents making it the only fully plug-n-play DMS for legal and financial documents available in the market. Archii finds and organizes documents by analysing its content (irrespective of location and filename) with 95% accuracy. Also, Archii converts information from inside each document into actionable intelligence (e.g. contracts’ expiry, GDRP risks etc.). To commercialize Archii in 2021 and to penetrate a market worth 7$B, ARCHII needs to (1) improve product-market fit; (2) develop a generic, scalable business model; and (3) demonstrate and document the benefits of Archii to increase market awareness. These comprise the innovation project objectives (Phase-1 and -2). By successfully achieving these objectives, ARCHII will position itself as a leading DMS provider to SMEs worldwide, with predicted revenues of ~32M€, 5 years post-project.

Keywords: document management system,machine learning,deep learning algorithms,document organization,information extraction