Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Aligning Migration Management and the Migration-Development Nexus (MIGNEX)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Research and Innovation actions
Countries involved: Austria,Afghanistan,Türkiye,Norway,Netherlands,United Kingdom,Pakistan,Ghana,United Kingdom
Call: The European Union and the global challenge of migration (H2020-SC6-ENG-GLOBALLY-2017, 2017)
Start date: 2018-09-01
End date: 2024-08-31
Duration (months): 72.0
Total project cost (EUR): 4999572.5
EU funding (EUR): 4999572.5
Participants: 9
Project status: SIGNED

In order to manage the long-term challenges of global migration, Europe must create effective and coherent policies for engaging with countries of origin and transit. Effectiveness and cohesion depend on the real-world mechanisms at work: How do the root causes of migration operate? What do prospective migrants see as alternatives to migration? How do policy measures interact with other factors in shaping migration outcomes? Because the quality of policies is so intimately connected with the actual development-related causes and consequences of migration, MIGNEX addresses the full scope of the topic as described in the Work Programme. The project’s overall objective is to contribute to more effective and coherent migration management through evidence-based understanding of the linkages between development and migration. Steps toward this objective comprise extensive research in ten strategically relevant countries of origin and transit, including Afghanistan, Guinea, Somalia, Nigeria and Turkey. The project team will conduct a survey with a target sample of 12,500 individuals, in addition to qualitative data collection and policy analysis. Correctly identifying two-way causal mechanisms between migration and development is imperative but very difficult. The project design incorporates two innovative responses to this challenge. First, it follows a principle of disaggregation, which, among other things, entails specific attention to local-level mechanisms. Second, the analysis combines conventional methods, such as multivariate regression, with Qualitative Comparative Analysis, which is a technique that allows for identifying complex causal relationship on the basis of in-depth case studies. In the analysis of policy coherence, the consortium will focus on identifying the causes of incoherence. The proposal clearly specifies three primary expected impacts and sets out an ambitious and professional strategy for impact maximization.

Keywords: migration management,migration development nexus,migration aspirations,transnationalism,displacement,qualitative comparative analysis qca,survey research,policy coherence,africa,asia
The Next Billion Musicians: Leading the Digital Disruption of Music Education (NextBillionMusicians)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Finland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-05-01
End date: 2019-10-31
Duration (months): 18.0
Total project cost (EUR): 2794375.0
EU funding (EUR): 1956062.5
Participants: 1
Project status: CLOSED

Music helps people express emotions and ideas, from the commonplace to the revolutionary. Playing a musical instrument is a great lifelong activity, and the benefits for the individual and for society are manyfold. Unfortunately, traditional means of music education do not work for most people. However, now the technological advances enable totally new solutions to emerge. Yousician is a mobile service that uses advanced audio technology combined with music exercises to motivate users to learn and play an instrument. Users play along on their real instruments as the app provides instruction. Yousician has both the benefits of private lessons, guidance and feedback, and of self-learning methods such as books and videos, affordability and 24/7 access anywhere. Because of its game-like design, Yousician keeps users motivated to practice and lets them connect to other players around the world. Yousician's educational approach is based on the best pedagogical practices and the learning patterns of millions of users. Today, Yousician is leading the disruption of the highly fragmented music education market which is in its infancy stage of digitalisation. By 2017, Yousician has reached 90 million downloads in 156 countries. However, we estimate the available market to be 1.1 billion people if learning music becomes more inclusive. The goal of this project is to make music education available to a billion new people. To do this we must: (1) increase the product range by adding more instruments, syllabi for advanced users and localisation to several languages and (2) build readiness to scale up in global markets. This project will help Yousician become a successful high-growth tech company of the sort Silicon Valley brings out. Furthermore, by giving millions of people access to music education, this project will massively grow the whole industry, ranging from music schools, bands, and artists to instrument manufacturing.

Keywords: mobile applications,music education
Smart secure system to share resources between OWners AND BOrrowers in a peer-to-peer collaborative consumption market (OWANDBO)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Spain
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-10-01
End date: 2016-12-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

OWANDBO is a collaborative platform that empowers individuals towards more participative and open exchange of resources; reduces carbon footprint by sharing assets; expands the life cycle of a product and reduces waste.OWANDBO allows members to rent and share the resources that they own and do not use enabling them, Owners and Borrowers, to benefit from a mutual economic transaction. OWANDBO 's potential could achieve over 10 million renting transactions between members throughout the world in five years, saving over 10,000tonnes of waste and generating value for members, the governments and partners associated. Currently there are no digital platforms like OWANDBO that allow peers to connect and share their underutilized goods and assets in a convenient, accessible, user-friendly and profitable way. The market potential for the sharing economy in Europe is €572 billion. In France alone while 19% of consumers reported use of this type in 2013, twice as many considered it in 2014, and 60% in 2015. However the big picture of the business opportunity for Buzinger with the OWANDBO project includes also environmental benefits and creation of governmental wealth through taxation on transactions, increased quality of goods exchanged, fostering local production and empowering individuals with new revenues. At Buzinger we have identified a great business opportunity within main cities in Europe and the US for a reliable Platform (OWANDBO) that assures users that assets will be available when needed and guarantees owners that their possessions will be treated appropriately and returned in the same conditions as before renting them. In five years time OWANDBO will be at the same level of other digital platforms, Airbnb, BlaBlaCar, within the Sharing Economy.

Keywords: sharing economy,resource efficiency,smart app,circular economy,environment friendly,renting assets,waste reduction,collaborative economy,trust
Affordable Robots to Democratize Film and Video Motion Control (Ground Drone)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Portugal
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-03-01
End date: 2017-07-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Almost all moving shots we see on TV or in movies are performed by a camera mounted on some sort of motion control system to produce seamless, steady shots while following its subject. With the quality of digital cameras increasing as prices drop, there is growing demand for affordable, high-quality motion control systems. To achieve professional motion control quality in the TV/film/video production sector, professionals currently need to use heavy, labour-intensive equipment like dollies on rails, which can cost upwards of 100k€ and are operated by at least 2 specialized operators. For shots that need to be repeated precisely on each take, large studios use industrial robots that are much more expensive but can be controlled by a single expert operator, although they need to be moved and set up by several people. The SME production companies and independent professionals who make up the great majority of this sector can rent a dolly and hire operators, although they are costly, or even an industrial robot when a shoot calls for it, although they are generally used by large studios for big-budget productions. Ground Drone is a breakthrough motion control system consisting of a robotic platform equipped with a powerful processor that works with any type of camera, from heavy-duty studio cameras to smartphones. It uses our proprietary computer vision and artificial intelligence algorithms to calculate the motion trajectory and move the camera through the desired flow, while following the subject and taking into account its surroundings and other sensor data. Ground Drone will democratize high-quality motion control, the next frontier for budget production. We offer industrial robot precision with affordable but powerful technology that can adapt to diverse user scenarios. We will use this phase 1 project to test our value proposition and commercial hypotheses with potential clients, in order to maximize impact and reduce risk as we more forward.

Keywords: film and video production,motion control systems,computer vision,robotics
Compartmentalized DNA Computers for In-Vitro Diagnostic Applications (DNACom)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Netherlands
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-04-01
End date: 2020-12-31
Duration (months): 21.0
Total project cost (EUR): 149770.0
EU funding (EUR): 149770.0
Participants: 1
Project status: CLOSED

Changes in human microRNA (miRNA) levels are associated with several important human diseases. Monitoring changes in miRNA levels would enable clinicians to perform diagnosis and evaluate therapeutic efficacy of drugs. In principle, changes in a miRNA signature could be detected by existing methods such as quantitative reverse transcription PCR (RT-qPCR). However, the experimental complexity and computational analysis of the data prevents the measurements of miRNA signatures in a clinical setting. DNA-based molecular computers combine multiplex detection of DNA and RNA strands with molecular computation and are thus able to process and classify miRNA signatures into easy interpretable answers. In my ERC starting grant BioCircuit, we have made a technological breakthrough by compartmentalizing DNA-based molecular computers inside semipermeable micrometer-sized compartments made from a Bovine serum albumin (BSA) polymer conjugate. We have shown that compartmentalization of DNA circuits improves their speed by an order of magnitude and decreases their overall leakiness. Importantly, our work has revealed that this platform is capable of distributed sensing and processing of DNA and RNA strands. In 'DNACom' we will 1) establish the technical proof of concept of compartmentalized DNA computers for in-vitro molecular diagnostics (IVDs) and 2) validate the commercial application of compartmentalized DNA circuits as low-cost, portable point-of-care devices for detection and classification of microRNA signatures.

Keywords: dna computing,in vitro diagnostics
Understanding the Energy Transition with a Machine Learning Toolbox (ENECML)

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: Spain
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1679125.0
EU funding (EUR): 1679125.0
Participants: 1
Project status: SIGNED

The goal of this proposal is to build tools to better understand the economic impacts of the rapid transformation of electricity markets, and to help better design electricity markets going forward. I propose to develop and implement novel statistical tools and structural models that contribute to our understanding of this rapid transformation. The proposed research focuses both on firm strategic responses and investment (supply-side), as well as consumer behavior and welfare and distributional impacts (demand-side). The proposal presents several projects and methodologies that examine these issues in detail with unique high-frequency micro-data on firms and households. The tools and models developed in this proposal can help understand the impacts of the energy transition, both on the supply and the demand side. Among the expected methodological contributions, I plan to combine machine learning tools with more standard structural modeling. On the supply side, the proposal emphasizes the need to understand how strategic behavior interacts with market design in the presence of intermittent resources. On the demand side, the proposal highlights the importance of understanding the distributional implications of such changes with special attention to the residential sector and the most vulnerable socio-economic households.
Anima is an advanced AI system that analyses the child’s emotional and mental development through his/her artwork. (Anima)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-04-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Since children in their early years have little vocabulary, it can be difficult to understand how children feel. Particularly, this become a serious problem when it comes to dangerous issues such as depression, distress, anger or trauma caused by emotional or physical abuse. More than 8000 studies have been published about the possibility to get insights on the social, emotional, physical, and intellectual development of each child through the analysis of their drawings. Anima, our innovative application is grounded in the latest psychological thinking of art interpretation. Anima is the first Artificial Intelligence (AI) application that can accurately interpret children’s drawings to provide a preliminary emotional analysis to alert guardians and child therapists about the possibility of the existence of suspected abnormal behaviour and prevent deterioration in the mental state of the child. IBM selected Anima’s prototype as a finalist in their IBM Watson build challenge. We now need investment to turn this promising prototype into a commercially successful product within the lucrative mhealth market. The proposed work in Phase 1 of the SME instrument fits into our overall plan to reach the market by contributing the financial resources needed to plan a fast sound wider deployment of Anima.

Keywords: mobile app,art therapy,mental health
Eco-friendly and scalable seawater desalination container to secure water supply for agriculture and food production in the Mediterranean area (Water4Food)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Germany
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-09-01
End date: 2017-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The total global water demand is expected to rise by 35–60% until 2025 compared to the level of the year 2000, and could then double by 2050. Already today, Europe’s Mediterranean regions suffer from water scarcity and thereof foremost the food sector, accounting for 80% of freshwater demand while representing a decisive economic factor in that regions. Depending strongly on secure and sustainable water supply, green technologies for water treatment are needed to safeguard its economic prosperity. Against this background WTS has developed an innovative, energy-efficient and sustainable technology for decentralised seawater desalination to generate high-quality potable water cost-efficiently (by using special high performance heat exchanger technology) and environmentally-friendly (using waste heat as energy input and avoiding salt pollution). The system provided in a sea container is portable and easily scalable imitating a weather-like cycle. The WTS solution is advantageous related to state of the art technology w.r.t. energy use, environmental burden and costs. The key market application is decentralized water production for users or user groups with the need to consume water directly on site but face limitation on available freshwater resources (due to large distances or over-exploitation). The idea is to offer small-scale, distributed desalination for the extraction of raw water from saline water sources for 1) drinking water production and 2) process water production. It will be viable to use the WTS technology in Mediterranean coastal areas and islands. The global capacity of desalination plants is expected to grow with a CAGR of 11%. The project helps safeguard sustainability and secure food production in the Mediterranean countries and other water stressed regions. Objective is to assess the technical feasibility of Water4Food in relevant industrial environment as well as the economic justification in the first target markets (Greece, Cyprus, Malta).

Keywords: sustainable food production,desalination,decentralised water supply,waste water treatment,waste heat recovery,water scarcity
REVEN-X1: Automatic Vulnerability Detection in Binary (REVEN-X1)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

TETRANE wants to further develop REVEN®, a product that automatically discovers, characterizes and helps solving nearly any software flaw that could be exploited by malicious hackers. REVEN represents the only answer to a growing social issue: cybersecurity for critical infrastructure and loss of revenue due to cyberattacks. REVEN helps to anticipate threats by directly analysing executable binaries (source code is not needed) thanks to the mathematical simulation of processors’ physical structures. Before REVEN, it was considered impossible. Beyond financial losses for companies estimated at more than 400 billion euros per year worldwide, the growth of cyberattacks exploiting software flaws is indeed a worrying matter for any infrastructure that could threaten the well-being of an entire population: critical infrastructures. Critical infrastructures regroup state activities (civilian, judiciary, research and defence), citizen care (water, food and health) and social and economic life (energy, telecommunications, transports, finances and industry). The crucial need to secure these infrastructures can easily be understood. The REVEN developments already realized lead to the demonstration in various operational environments (TRL7) and TETRANE already has recognized early adopters: several defense ministries around the world, and leading civilian companies. The company employs eight Research and Development engineers and has already realized a 315 k€ turnover in 2015Q1 by selling a beta version of REVEN to cybersecurity experts. It is however necessary for TETRANE to pursue the definition of the commercial plans and the overall strategy for the next two years in order to hit the market with a clear strategic view in terms of business model, Research and Development and IPR. Whit this SME Instrument deliverables, and hopefully subsequent phase II, TETRANE can expect a strong growth during the next few years!

Keywords: cybersecurity,binary analysis,computer flaws,vulnerability management,reven,tetrane
Metabolic Regulation of Conventional Dendritic Cell Development and Function (DC Metabolism)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Dendritic cells (DCs) play critical roles in directing innate and adaptive immune responses against infections and cancer. Understanding the mechanisms that control DC development and function may reveal new ways to alter the course of complex human diseases such as cancer. Despite their importance in immunity, some open questions remain in regards to DC basic biology. Two of these questions, in particular, are the subject of this application: 1) DCs are a heterogenous population, which can be subdivided into conventional DC type 1 (cDC1) and 2 (cDC2) subsets. Although their development depends on distinct transcriptional programs, cDC1 and cDC2 descend from a common precursor under the influence of the same growth factor cytokine. What determines cDC1/2 differentiation? 2) Various loss-of-function studies demonstrate that cDC1 are key antigen-presenting cells for initiating CD8+ T cell responses to tumours and some viruses. This primarily relies on a process termed cross-presentation. How is cross-presentation regulated in cDC1? Recent studies indicate that profound changes in cellular metabolism are coupled to immune cell function and may fundamentally underpin cell-fate decisions. Based on previous observations and our own preliminary data, we hypothesise that glycolysis programs cDC1 development and activation, whereas fatty acid metabolism controls the ability of the same cells to cross-present antigens to CD8+ T cells. We propose to define the metabolic programs that drive DC formation and that underlie cDC1 and cDC2 identity and complement this approach with loss and gain-of-function experiments that will allow specific testing of our hypotheses. Globally, these studies will identify novel mechanisms of immune cell control with implications for antiviral and anticancer immunity.

Keywords: cellular metabolism,antitumor immunity,dendritic cells,metabolomics,cross presentation