Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Gluten Epitope Molecularly imprinted polymer Sensor (GEMS)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

Introduction-state of art of the problem: The main goal of the present proposal is to devise a chemical sensor capable of gluten detection in food. Gluten is the allergen that triggers autoimmuno reactions in people suffering of celiac disease (CD). CD is an autoimmune disorder, characterized a variety of genetic assets, which is estimated to affect the 1-2 % of the European population with direct costs on the healthcare estimated as 3 bn Euros/year. According to the state of the current knowledge gluten-free diet is mandatory in CD. Food shall contain less than 20 mg/kg gluten of to be considered as “gluten-free” and to be eaten safely. Scientific part of the project: To face the problem of CD we are coming with the idea to devise a chemical sensor capable of fast gluten detection in food. To complete this task, we will design a recognition unit using the technology of molecularly imprinted polymers (MIPs), which allows to produce synthetic receptors by a template assisted synthesis. Being gluten a mix of proteins (prolamins) the design of the MIPs will be rationalized by the aid of the epitope imprinting methodology, that complements protein 3D- and linear sequence-databases, so to find distinctive portions of the protein to be used as templates. The next step is an electrode-MIP preparation based on thiophene monomers that will proceed through a foregoing rational design of the monomers selection by computational methods. In the third step we will focus on the study of the performance of the sensor both in model solutions and in real samples. Finally, validation on true samples will be performed by comparing our results to independent analytical methods. Expected outcomes and impact of the work: As result of the proposed project, the laboratory model of the working gluten chemosensor will be developed. Such model will be useful to devise a prototype of a gluten detector ready for commercialization.

Keywords: allergen,celiac disease,chemical sensor,diet,epitope,food,gluten,health,molecularly imprinted polymer mip,peptide,protein
Sustainable Market Actors for Responsible Trade (SMART)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Research and Innovation actions
Countries involved: Spain,Ireland,Italy,Australia,Hong Kong,Finland,Slovakia,Sweden,China,Norway,Norway,Poland,Poland,Netherlands,United Kingdom,Denmark,Denmark,United Kingdom,United Kingdom,Bangladesh,Ghana
Call: The European Union's contribution to global development: in search of greater policy coherence (H2020-INT-SOCIETY-2015, 2015)
Start date: 2016-03-01
End date: 2020-02-29
Duration (months): 48.0
Total project cost (EUR): 3717997.5
EU funding (EUR): 2491210.0
Participants: 26
Project status: CLOSED

This Project aims to address an increasingly pressing global challenge: How to achieve the EU’s development goals and the UN’s Sustainable Development Goals, while meeting the global target of staying within two degrees global warming and avoid transgressing other planetary boundaries. EU policies must align with sustainable development goals (Article 11 TFEU). The impacts of climate change and global loss of natural habitat undermine the progress achieved by pursuing the Millennium Development Goals and threaten the realisation of EU development policy goals. Our focus is the role of EU’s public and private market actors. They have a high level of interaction with actors in emerging and developing economies, and are therefore crucial to achieving the EU’s development goals. However, science does not yet cater for insights in how the regulatory environment influences their decision-making, nor in how we can stimulate them to make development-friendly, environmentally and socially sustainable decisions. Comprehensive, ground-breaking research is necessary into the regulatory complexity in which EU private and public market actors operate, in particular concerning their interactions with private and public actors in developing countries. Our Consortium, leading experts in law, economics, and applied environmental and social science, is able to analyse this regulatory complexity in a transdisciplinary and comprehensive perspective, both on an overarching level and in depth, in the form of specific product life-cycles: ready-made garments and mobile phones. We bring significant new evidence-based insights into the factors that enable or hinder coherence in EU development policy; we will advance the understanding of how development concerns can be successfully integrated in non-development policies and regulations concerning market actors; and we provide tools for improved PCD impact assessment as well as for better corporate sustainability assessment.

Keywords: policy coherence,sustainable development,private sector,supply chains,corporate accountability,csr reporting,innovation,business,trade,investment,consumers,public procurement
Wound healing ILYA-style 2 (WHILYAS-2)

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, 2020)
Start date: 2020-10-01
End date: 2023-12-31
Duration (months): 39.0
Total project cost (EUR): 1943500.0
EU funding (EUR): 1360362.0
Participants: 1
Project status: SIGNED

ILYA PHARMA AB is a Swedish spin-out biotech company from Uppsala that develops next-generation biologics to treat wounds in skin and mucosa. In the previous SME Instrument project, the Company reached the First in Human (FiH) Phase I clinical trial in the development of their technology platform (ILP) that utilizes chemokines as therapeutic agents through local administration from genetically modified lactic acid bacteria. The WHILYAS-2 project addresses several critical problems and unmet medical needs related to the treatment of chronic wounds, both from patients and healthcare perspectives, namely the pandemic of obesity and diabetes (463 million people in 2019), an alarming pace of antibiotic resistance spreading (due to overuse of antibiotics), limited and insufficient treatment options (less than 25% of chronic wounds heal within 12 weeks), and vast and growing socio-economic burden (20 billion EUR per year in the US and Europe alone). The technical, industrial, legal, and commercial feasibility of ILP100 Topical have all been confirmed over the course of our previous activities and developments. In this project, Ilya Pharma intends to conduct exploratory clinical trials (Phase IIa) of their drug candidate, ILP100 Topical, in treatment of non-healing (chronic) wounds in populations with diabetes to achieve clinical Proof of Concept (PoC) in the relevant patient group. WHILYAS-2 will allow the Company to scale up and position it to be further investable for VCs and MedTech/Biopharma Companies or license ILP100 Topical to a partner capable of bringing it to the market through large-scale Phase IIb or pivotal (Phase III) clinical studies. If these efforts are successful, ILP100 Topical is expected to be superior and best in class treatment for chronic wounds, offering ease of use, comparable to traditional wound dressings, >50% reduction of wound infections, significantly reduced 5-year mortality, as well as >50% decrease in treatment cost per wound.

Keywords: genetically modified organisms gmo,advanced therapy medicinal product atmp,gene therapy product gtp,probiotic bacteria,active wound care,chronic wounds,diabetic foot ulcers dfu
Innovative digital platform based on machine learning to analyze large databases, aggregate them and provide results to questions made in natural language. (PerformB)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Inclusive and sustainable industrial development is the primary source of income generation, allows for rapid and sustained increases in living standards for all people, and provides the technological solutions to environmentally sound industrialization. Without technology and innovation, industrialisation will not happen, and without industrialisation, development will not happen. Artificial Intelligence can be considered as the driving force of today’s industrial process and of development in general. SMEs that engage in industrial processing and manufacturing are the most critical for the early stages of industrialisation and are typically the largest job creators. They make up over 90 per cent of business worldwide and account for between 50-60 per cent of employment. However, in EU, AI has not been widely adopted by SMEs for many reasons: INNAAS has identified an Enterprise Software market’s niche currently not covered by traditional Analytics and Business Intelligence Software Vendors: fast deployment of end-to-end Artificial Intelligence (AI) Services for small and medium enterprises. These solutions could be used for instantly deployment of data-driven services that improve process and people’s daily routine: from sales support to diseases monitoring leveraging insights prediction and insights generation across a wide range of business processes. INNAAS have developed an end-to-end technology platform (INNAAS Fast-AI Platform) that enables Enterprises to quickly deploy turn-key Artificial Intelligence-driven digital services. The potential use cases of the platform are multiple and range from the national spending review control to the smart mobility and Industry 4.0. Among the different applications targeted by our AI-driven services, the key solution is PerformB, a revolutionary platform that enables AI to deliver the right information at the right time to maximize Performance and Business Outcome like no other solution on the market.

Keywords: smes,industralisation,dynamic data processing
A sustainable future for honeybees by unravelling the mechanisms of natural disease resistance (BEE NATURAL)

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: Sweden
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-03-01
End date: 2026-02-28
Duration (months): 60.0
Total project cost (EUR): 1499703.0
EU funding (EUR): 1499703.0
Participants: 1
Project status: SIGNED

The ectoparasitic mite, Varroa destructor, vectors lethal honeybee viruses, in particular Deformed wing virus (DWV) and is unarguably the leading cause of honeybee (Apis mellifera) colony mortality world-wide causing critical economic and ecological consequences for pollination-dependent crop production and wild plant biodiversity, respectively. Since the introduction of the mite in the 1970s and 1980s, wild honeybees in Europe and North America have been nearly completely eradicated and managed honeybees only survive through mite control treatment, or otherwise die within 1-2 years. These treatments remove the selective pressure necessary to establish a stable host-parasite relationship, which hampers the evolution of resistance and obstructs fundamental research on natural selection host‒parasite coevolution in this new host‒parasite system, which is now only possible in a few small honeybee populations surviving long-term (>20 years) without varroa control in Sweden, France and Norway. These rare and valuable naturally selected populations offer unique insight into the natural adaptive capacity of honeybees, yet little is understood about their mechanisms of resistance or tolerance to varroa mites and the viruses they vector. Having exclusive access to these populations, the BEE NATURAL project sets out to comprehensively describe their host resistant and tolerant phenotypes towards both mites and viruses, using a variety of innovative experimental designs, in order to deeper our fundamental understanding of host-parasite interactions. Genomic regions or target genes associated with resistant and tolerant traits will be identified using Next Generation Sequencing (NGS) technologies such as RNA-seq and whole genome sequencing (WGS), providing valuable information that can be applied towards developing marker-assisted selection: a powerful new approach for disease resistant breeding that can facilitate major advances in genetic stock improvement.

Keywords: host parasite co evolution,disease resistance and tolerance,chemical ecology,next generation sequencing
Discriminative preferences and fairness ideals in diverse societies: An ‘experimental economics’ approach (DIVERSE-EXPECON)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 1499046.0
EU funding (EUR): 1499046.0
Participants: 1
Project status: SIGNED

In economics, a distinction is made between statistical and taste-based discrimination (henceforth, TBD). Statistical discrimination refers to discrimination in a context with strategic uncertainty. Someone who is uncertain about the future behaviour of a person with a different ethnicity may rely on information about the different ethnic group to which this person belongs to form beliefs about the behaviour of that person. This may lead to discrimination. TBD refers to discrimination in a context without strategic uncertainty. It implies suffering a disutility when interacting with ‘different’ others. This project systematically studies TBD in ethnically diverse societies. Identifying TBD is important because overcoming it requires different policies than overcoming statistical discrimination: they should deal with changing preferences of people rather than providing information about specific interaction partners. But identifying TBD is tricky. First, it is impossible to identify using uncontrolled empirical data because these data are characterised by strategic uncertainty. Second, people are generally reluctant to identify themselves as a discriminator. In the project, I study TBS using novel economic experiments that circumvent these problems. The project consists of three main objectives. First, I investigate whether and how preferences of European natives in social interactions depend on others’ ethnicity. Are natives as altruistic, reciprocal, envious to immigrants as compared to other natives? Second, I study whether natives have different fairness ideals—what constitutes a fair distribution of resources from the perspective of an impartial spectator—when it comes to natives than when it comes to non-natives. Third, I analyse whether preferences and fairness ideals depend on exposure to diversity: do preferences and fairness ideals of natives change as contact with non-natives increases, and, if so, how?

Keywords: discrimination,taste based discrimination,other regarding preferences,fairness ideals
Artificial Intelligence Legal Analytic Solution (AILAS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
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

Predictice is the first European platform that uses the power of big data to calculate probabilities of justice dispute resolution. This decision support tool for legal professionals is based on complex algorithms which analyse all court decisions in order to save time in legal research and quality of legal advice. Our unique technology is built on natural language comprehension algorithms. After more than 2 years of R&D, the Predictice team is the most advanced on the topic of predictive justice in Europe, which has allowed us to win many prizes and awards. Today our device reads more than 4 million fully court decisions per second, with a reliability rate of 96%, all subjects combined. Already 400 legal professionals use this paid software: insurers, such as Axa, Allianz and Covéa; international law firms, such as Dentons and Taylor Wessing, but also small size law firms of individual lawyer; or even French courts of appeal. We targeted to establish ourselves in the promising European market thanks to our strong technological advance and easy to use solution. We are appealing to the European Commission to help us fund a feasibility study on a first European country we have selected: Italy. This choice is logically imposed by the opening and the potential of its market and the available amount of data of local justice decisions thanks to our international partner distributor and data provider Wolters Kluwer present in this country. Founded in January 2016 by a complementary team of international lawyers and engineers, Predictice now has 14 employees including a robust technical team of 7 developers (including an Italian CTO). The power and reliability of our international partner allows us access to data not available in open data and to a considerable sales force. Following this approach and the implementation of our solution across the European market, we expect to reach a team of 35 persons and an ambitious turnover of 3,7M€ by 2022.

Keywords: artificial intelligence and law,big data,legal analytics,legal data,legal tech,machine learning and law
How Birth Control Pills Affect the Female Brain (BECONTRA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Austria
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-06-01
End date: 2025-05-31
Duration (months): 60.0
Total project cost (EUR): 1499726.0
EU funding (EUR): 1499726.0
Participants: 1
Project status: SIGNED

Birth control pills have been on the market for almost 60 years now and are used by almost 200 million women worldwide. Particularly, the use of birth control pills increases among adolescents. However, the effects of birth control pills on the brain have widely been ignored. It was my own research that found the first indication that birth control pills affect female brain structure and masculinize female brain function. Furthermore, I recently obtained evidence that these changes are strongly dependent on the type of synthetic hormone contained in birth control pills and might affect some brain areas, like the hippocampus, beyond the duration of contraceptive treatment. This poses the question, whether effects of birth control pills on the brain are fully reversible after women stop taking the pill, especially if pill use occurs during sensitive periods of brain development, like in adolescents. Previous studies suffer from small sample sizes and insufficient study designs. Importantly, they compare women on birth control pills to naturally cycling women (cross-sectional designs) rather than following the same women from before she starts taking the pill through the first months of her pill use and vice versa (longitudinal designs). Accordingly they may be confounded by sampling bias. Therefore the general aims of this proposal are (A) to study the effects of birth control pills on the brain – for the first time – systematically in a longitudinal design, and (B) to address whether the effects of birth control pills on the brain are fully reversible. I seek to link changes in the brain to changes in behaviour, and address whether different types of pills cause different effects. Most importantly, a specific focus will lie on teen use of birth control pills. In order to address these questions, this project will employ a multi-modal imaging design, following several groups of pill users over multiple time-points before, during and after contraceptive treatment.

Keywords: hormonal contraceptives,sex hormones,brain,cognition
Brextor - The horizontal forces concrete pile removal head for high-precision piles preparation (BRC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The safe connection between the concrete piles and the pile cap is crucial for the stability of a construction project, especially for heavy structures as bridges and high-rise buildings and/or projects in non-cohesive soils (sand, gravel, water). Damaging the reinforcement bars during the pile head removal can result in high financial loss, time waste and therefore, danger for the overall construction safety. Today’s solutions cannot guarantee a secure and efficient pile head removal, as they all apply vertical forces endangering the concrete structure. On top of that, high amounts of energy are lost during the operation and OPEX is very high. With Brextor we want to revolutionize the construction industry, by offering an innovative concrete pile milling head which applies horizontal forces to the pile and can thus control 100% the applied energy for an accurate and secure pile head removal minimizing the energy loss. Moreover, our method can guarantee an up to 4 times faster pile breaking at an up to 3.5 times lower OPEX. We also minimize the human risk factor as minimum worker intervention is required. We started working on Brextor since 2007, and our current prototype has attracted the interest of the largest Swiss construction companies, having already used the first version of our technology in >100 sites in the country, including important construction as the Roche Tower in Basel in 2018. It has also been pilot used in Germany and Philippines. We will sell Brextor to construction companies and building contractors via direct sales for the Swiss region and distributors. With an additional investment of €2.5 million, we aim to sell ~1,100 units in a 5-year period (2022-2026) creating a business opportunity of €81.5 million and generating an astonishing ROI2026 of 5.52

Keywords: milling head,horizontal forces,pile bars,pile head cutting,foundations,concrete piles