Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Enhancing the innovation management capacity of Finnish SMEs by the Enterprise Europe Network in 2017-2018 (FINKAMIE2018)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Finland,Finland
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): 320112.5
EU funding (EUR): 320112.5
Participants: 3
Project status: CLOSED

Lack of innovation management capacity is recognised as an important barrier to creating economic impact (competitiveness, growth and jobs) from innovation activities in SMEs. The general objective of the proposal is to achieve overall long term capacity building in (Finnish) SME’s, particularly to make the innovation system in the companies more efficient and effective and to increase and accelerate the economic returns from innovation in the SMEs. Actions will be identified to address weaknesses in the innovation capacities of the SME that hinder the realisation of growth opportunities and of the full commercial potential. Hence, the improvement of this innovation management capacity upgrades the economic performance of the most promising SMEs. First specific objective of the project is to provide Key account management services to beneficiaries of the SME instrument. These services aim to identify bottlenecks to the creation of economic impact in companies benefitting from grants by Horizon2020's SME instrument. Based on the needs analysis the Key account management services identify suitable coaches to address the identified bottlenecks and also facilitates the coach-client relationship during the coaching project. Second specific objective is to provide services, which enhance the innovation management capacity of SMEs. This service will increase the efficiency and effectiveness of innovation processes in small and medium sized enterprises with significant innovation activities that could potentially become beneficiaries of European support to research and innovation but would not have effective access to consulting services for innovation management. The service includes an assessment of innovation management capacity and development actions based on the assessment.

Keywords: smes,innovation management,key account management
Navigation-grade ITAR-free Certifiable Equipment for the Navigation of Air Vehicle, based on FOG technology (NICENAV)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Italy
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-09-01
End date: 2018-03-31
Duration (months): 19.0
Total project cost (EUR): 2130797.5
EU funding (EUR): 1491558.25
Participants: 1
Project status: CLOSED

We are Civitanavi Systems, a high-tech European SME operating in the international marketplace, retaining cutting edge expertise in the emerging Fiber Optic Gyroscope (FOG) technology, applied to Inertial Reference Systems (standard avionic equipments) for civil avionic applications. NICENAV is our pivotal entrepreneurial project over the next decade, forecasted to position Civitanavi Systems among top 10 Navigation solution providers worldwide and top 3 in Europe. NICENAV project targets at introducing into the market the first worldwide Inertial Reference System based on FOG technology (NICENAV CFN-50GC) in place of existing obsolescent RLG-based solutions, free from the overwhelming compliance with ITAR imposed by the US government for both military and civil products. It also guarantees the best peak performances on the market with an extraordinary compact size. A high performance IRS, not subject to ITAR compliance and based on FOG technology will certainly be a disruptive product in the segment of high-end navigation systems for business jets and single-aisle commercial airplanes, where Honeywell (US manufacturer) is dominating the market with a RLG-based and ITAR-compliant solution called LASEREF VI micro IRS. We have the key technology to replace obsolete American solutions: we have already started doing it, as proved by the new partnerships established with Piaggio Aerospace and Pilatus Aircrafts. The goal is to accelerate our entry-time in the market (16 months) to respond to the growing interest from clients (Pilatus Aircraft, Piaggio Aerospace). The achievement of TRL 9 is the natural target of NICENAV and SME Instrument is the best route to reduce the time-to-market while maintaining the technological and market advantage over competitors. Estimated impact: Civitanavi would reach a turnover (for only the NICENAV product line) of €19M after 5 years from the launch of the product.

Keywords: itar free,fog technology,inertial reference solution
End-to-end hardware implementation of Artificial Neural Networks for Edge Computing in Autonomous Vehicles (Hailo-8)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-03-01
End date: 2020-08-31
Duration (months): 18.0
Total project cost (EUR): 2993750.0
EU funding (EUR): 2095625.0
Participants: 1
Project status: CLOSED

Autonomous Vehicles (AVs) present a great opportunity for the transport sector to reduce accidents, traffic congestion, time of travel and travel costs. However, for effectiveness, AVs need to process large amounts of data collected by the vehicle sensors at the edge, which requires a very powerful processor capable of computing Deep Learning (DL) tasks. This is currently lacking in the market as evidenced by the inefficiencies in current processors in processing big data at the edge in real time. Most processors for edge computing are currently reliant on CPU and GPU architectures which are challenged by Deep Learning tasks. The processors have low computational capabilities which increases their latencies (processing times). This leads to heat dissipation problems and high power consumption. The processors are also rigged with complexities that raise development costs and the price of the processors. The processors are also not easily scalable, which makes it difficult for miniaturisation. Hailo-Tech has developed Hailo-8, which is specifically designed to optimise Edge Computing processor capabilities to allow neural network deployment through enhancing processor computational efficiency, resulting in higher capacity within the constraints of an edge device. Hailo-8 meets the industry need of optimised edge data processing by providing a first-class ASIC micro-processor that is based on a completely new micro-architecture that can execute neural network based machine learning algorithms. Hailo-8 will provide AV owners with high computational efficiency (x1,000 compared to alternative solutions), giving an immediate response after data processing. Hailo-8 increases power efficiency by a factor of 100 and has better area and cost efficiency by a factor of 10 compared to other processors. To bring the disruptive device successfully to the market we need to further perform some technical and commercial activities which required an investment of €2.993,750 M.

Keywords: artificial intelligence ai,machine learning ml,deep learning dl,artificial neural networks ann,autnomous driverless vehicles avs,latency
Inequality in 3D – measurement and implications for macroeconomic theory (3D-In-Macro)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Norway
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-05-01
End date: 2025-10-31
Duration (months): 66.0
Total project cost (EUR): 1376875.0
EU funding (EUR): 1376875.0
Participants: 1
Project status: SIGNED

This project will contribute toward a better understanding of inequality and its macroeconomic implications. We will study inequality and its dynamics along three dimensions: Consumption, Income and Wealth, “3D Inequality.” With novel microdata we can measure the entirety of the economy down to the single household along the 3 dimensions. In macroeconomics, much theoretical progress has been made in understanding when distributions matter for aggregates. Newer heterogeneous agent models deliver strikingly different implications for monetary and fiscal policies than what the traditional representative agent models do, and also allow us to study the distributional implications of different policies across households. In principle, this class of models can incorporate the potentially rich interactions between inequality and the macroeconomy: on the one hand, inequality shapes macroeconomic aggregates; on the other hand, macroeconomic shocks and policies affect inequality. However, absent precise micro-level facts it is difficult to establish which of the potential mechanisms highlighted by these models are the most important in reality. Our empirical efforts will be disciplined by these recent developments in modelling macroeconomic phenomena with microeconomic heterogeneity. Our overarching motivation is to quantify the type of micro heterogeneity that matters for macroeconomic theory and thereby inform the development of current and future macroeconomic models. The novel insights we aim to provide could lead to substantial improvements in both fiscal and monetary policy tools. Furthermore, a better understanding of the forces behind growing inequality will inform the current debate on this issue and provide important lessons to policy makers who see economic inequality as a problem in itself.

Keywords: inequality,heterogeneous agent models,microeconomic heterogeneity,consumption,income,wealth
Youth Engagement in European Language Preservation, 1900-2020 (YEELP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Ireland,United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-11-01
End date: 2025-10-31
Duration (months): 72.0
Total project cost (EUR): 1272260.0
EU funding (EUR): 1065132.5
Participants: 2
Project status: SIGNED

YEELP is the first in-depth, comparative, transnational and interdisciplinary study of the intersection between European youth and the preservation of minority or regional European languages in the period since 1900. The project focuses on three languages of differing statuses and rates of usage – Irish, Welsh and Catalan – and it unites two growing fields of contemporary scholarship: the study of youth, and the study of language preservation. In the study of minority and regional language preservation, the roles and voices of youths – those between 12 and 19 years of age – have been consistently overlooked. In order to address this fundamental gap in contemporary research, this project takes a multifaceted approach to the intersection between youth and language. It does so at a critical period for the study of endangered European languages, with several languages in decline and some facing extinction. Until youth is included in considerations of language preservation, we will not be able to answer the question of why some languages thrive while others die out. Through four innovative methodological strands: a study of second-level educational policy (youth as object); an examination of extracurricular language initiatives (youth as agent); an analysis of young adult literature (youth as subject); and the provision of a forum through which the voice of youths themselves will be heard (youth as advocate), the project will explore how bilingual youths have adapted to, and engaged with, two languages and often two cultures. The project is potentially groundbreaking: through its historical, literary and grassroots approach of engaging with youths themselves, the project aims to substantially extend the state-of-the-art. YEELP offers a model for European research in the fields of the history of youth, language studies, young adult literature and beyond, while also informing international minority and regional language planning into the future.

Keywords: youth,minority and regional languages,language preservation,young adult literature
Development and Demonstration of monitoring strategies and technologies for geological disposal (Modern2020)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Radioactive waste management
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Italy,Switzerland,Belgium,Belgium,Sweden,Sweden,Belgium,Belgium,Finland,Switzerland,Finland,France,France,France,Czechia,Czechia,Netherlands,United Kingdom,United Kingdom,Japan,United Kingdom
Call: Supporting the implementation of the first-of-the-kind geological repositories (NFRP-2014-2015, 2014)
Start date: 2015-06-01
End date: 2019-05-31
Duration (months): 48.0
Total project cost (EUR): 9658845.51
EU funding (EUR): 5997143.0
Participants: 31
Project status: CLOSED

The Modern2020 project aims at providing the means for developing and implementing an effective and efficient repository operational monitoring programme, taking into account the requirements of specific national programmes. The work allows advanced national radioactive waste disposal programmes to design monitoring systems suitable for deployment when repositories start operating in the next decade and supports less developed programmes and other stakeholders by illustrating how the national context can be taken into account in designing dedicated monitoring programmes tailored to their national needs. The work is established to understand what should be monitored within the frame of the wider safety cases and to provide methodology on how monitoring information can be used to support decision making and to plan for responding to monitoring results. Research and development work aims to improve and develop innovative repository monitoring techniques (wireless data transmission, alternative power supply sources, new sensors, geophysical methods) from the proof of feasibility stage to the technology development and demonstration phase. Innovative technical solutions facilitate the integration and flexibility of required monitoring components to ease the final implementation and adaptation of the monitoring system. Full-scale in-situ demonstrations of innovative monitoring techniques will further enhance the knowledge on the operational implementation of specific disposal monitoring and will demonstrate the performance of the state-of-the-art, the innovative techniques and their comparison with conventional ones. Finally, Modern2020 has the ambition to effectively engage local citizen stakeholders in the R&D monitoring activity by involving them at an early stage in a repository development programme in order to integrate their concerns and expectations into monitoring programmes.

Keywords: geological disposal,radioactive waste,monitoring strategies,research and development,stakeholders engagement
The analysis of geometric non-linear wave and kinetic equations (GEOWAKI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: France,France
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-02-01
End date: 2022-07-31
Duration (months): 66.0
Total project cost (EUR): 1071008.0
EU funding (EUR): 841008.0
Participants: 3
Project status: CLOSED

The present proposal is concerned with the analysis of geometric non-linear wave equations, such as the Einstein equations, as well as coupled systems of wave and kinetic equations such as the Vlasov-Maxwell and Einstein-Vlasov equations. We intend to pursue three main lines of research, each of them concerning major open problems in the field. I) The dynamics in a neighbourhood of the Anti-de-Sitter space with various boundary conditions. This is a fundamental open problem of mathematical physics which aims at understanding the stability or instability properties of one of the simplest solutions to the Einstein equations. On top of its intrinsic mathematical interest, this question is also at the heart of an intense research activity in the theoretical physics community. II) Non-linear systems of wave and kinetic equations. We have recently found out that the so-called vector field method of Klainerman, a fundamental tool in the study of quasilinear wave equations, in fact possesses a complete analogue in the case of kinetic transport equations. This opens the way to many new directions of research, with applications to several fundamental systems of kinetic theory, such as the Einstein-Vlasov or Vlasov-Maxwell systems, and creates a link between two areas of PDEs which have typically been studied via different methods. One of our objectives is to develop other potential links, such as a general analysis of null forms for relativistic kinetic equations. III) The Einstein equations with data on a compact manifold. The long time dynamics of solutions to the Einstein equations arising from initial data given on a compact manifold is still very poorly understood. In particular, there is still no known stable asymptotic regime for the Einstein equations with data given on a simple manifold such as the torus. We intend to establish the existence of such a stable asymptotic regime.

Keywords: non linear wave and kinetic equations,einstein equations,vlasov maxwell and einstein vlasov system,anti de sitter
CiRcular Economy: SusTainability Implications and guidING progress (CRESTING)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Austria,Italy,Italy,Austria,Germany,Italy,Taiwan, Province of China,China,France,France,Netherlands,Netherlands,United Kingdom,Portugal,Portugal,Nigeria,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2021-12-31
Duration (months): 48.0
Total project cost (EUR): 3854797.56
EU funding (EUR): 3854797.56
Participants: 23
Project status: CLOSED

CRESTING will train Early Stage Researchers (ESR) in cutting edge systematic analysis of the process of transformation to a Circular Economy (CE). Establishing a CE (such that the maximum value is extracted from materials and waste generation minimised) is a major policy area within the European Union and elsewhere. Explicitly seen as increasing economic competitiveness and laying a foundation for environmental employment, CE policies are designed to increase resource efficiency and decrease carbon dependency. Previous and ongoing research into the CE, however, has been largely concerned with strategies for implementation. The many different fields of activity comprising the CE (e.g., re-use, recovery, recycling, eco-design amongst others) operate with varying degrees of effectiveness in different places and for different materials. These fields of activity have not been critically analysed as an interrelated social, technical, environmental and, significantly, spatial phenomenon. This programme will advance the critical analysis of the concept and sustainability implications of the CE by the training of 15 ESR analysing CE-related activity and initiatives in a range of geographic and economic settings. CRESTING is divided between 5 work packages (WP) analysing: current discourse and policy contexts (WP1); corporate engagement with the CE (WP2); public sector engagement in the CE (WP3); the potential for local economic development and employment from the CE (WP4); and measuring life cycle impacts and developing sustainability indicators relevant to the CE (WP5). With multidisciplinary and international supervisory teams including non-academic partners within each WP, CRESTING will 1) analyse the sustainability implications of the CE; 2) analyse the spatial dimension of the CE and 3) translate these analyses into specific actions for managing the transformation to the CE.

Keywords: circular economy,industrial ecology,policy implementation,life cycle analysis,sustainability indicators,business models,employment,employability,public sector,sustainability
SLAMF7-CAR T cells prepared by Sleeping Beauty gene-transfer for immunotherapy of multiple myeloma – a rare hematologic disease (CARAMBA)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Germany,Germany,Germany,Germany,Belgium,Switzerland,France,France
Call: New therapies for rare diseases (H2020-SC1-2017-Two-Stage-RTD, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 6097875.0
EU funding (EUR): 6097875.0
Participants: 12
Project status: SIGNED

CARAMBA is proposing to use the revolutionary CAR-T cell technology to tackle multiple myeloma, a rare and incurable hematologic malignancy. Myeloma is associated with a substantial socioeconomic burden and there is a strong demand by patients, their families and caregivers for a curative myeloma treatment. The CARAMBA investigators will conduct a phase I/II clinical trial of immunotherapy with patient-derived T cells that are engineered to express a synthetic chimeric antigen receptor (CAR) specific for the myeloma antigen SLAMF7. SLAMF7 is uniformly expressed on all myeloma cells in every patient, and SLAMF7 CAR-T cells will be equally effective in women and men. The efficacy and safety of SLAMF7 CAR-T cells has been validated by the coordinator in comprehensive pre-clinical testing which highlighted their unprecedented curative potential. SLAMF7 CAR-T cells have received an orphan designation for the indication multiple myeloma by the EC. The successful conduct, rapid and complete recruitment into the clinical trial is ensured by participation of 4 clinical myeloma centres of excellence in 4 EU member states, and the largest myeloma patient advocacy group in Europe, MPE. The SME partners in CARAMBA are prepared to develop the SLAMF7 CAR product all the way to market authorization. CAR-T cell therapy has been recognized as a ‘Breakthrough Therapy’ and clinical proof-of-concept obtained with CD19 CAR-T cells in leukemia and lymphoma. CARAMBA is building on novel and proprietary, cutting-edge CAR technologies including virus-free Sleeping Beauty CAR gene-transfer from DNA minicircles which substantially reduces the cost of CAR-T cell manufacturing, making it an economically viable and sustainable medicinal product. We are confident, that if funded, CARAMBA will accomplish its objective to establish the role of CAR-T cell therapy as a therapeutically effective, commercially attractive and socioeconomically desirable treatment in myeloma and other rare diseases.

Keywords: multiple myeloma,hematologic malignancy,cancer immunotherapy,cellular therapy,chimeric antigen receptor,car t cell therapy,genetic engineering,sleeping beauty,slamf7