Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Using SP1 to control plastid development and yield in cereals (YIELDFACTOR)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-03-07
End date: 2018-03-06
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Recently, the host lab found that a novel ubiquitin E3 ligase, SP1, regulates the translocon of the outer chloroplast membrane (TOC), which is responsible for importing nucleus-encoded proteins into plastids. SP1 achieves this by promoting the degradation TOC components by the cytosolic 26S proteasome. This is the first time the ubiquitin proteasome system (UPS) has been shown to directly regulate plastid development and function. By increasing or decreasing SP1 levels in transgenic Arabidopsis plants, multiple effects of SP1 were observed; e.g., inefficient de-etiolation leading to low survival rates and delayed leaf senescence in sp1 null mutants (Science 2012, 338:655-9). Also, sp1 mutants are significantly more sensitive to stress (unpublished). These data suggest that SP1 is important for the differentiation and interconversion of different plastid types, and all of the effects are highly correlated with plant growth and yield. Thus, discovery of SP1 strongly suggests potential applications in agriculture, such as delaying leaf senescence to produce a staygreen phenotype, or controlling amyloplast development during grain development, by modifying SP1 expression. This project will investigate the function of SP1 in cereals, and assess the potential of SP1 for manipulating plastids to improve cereal yield. I will generate transgenic plants with manipulated SP1 expression in Brachypodium distachyon (a versatile cereal model) and Oryza sativa (rice). I will study the development of plastids in the transformants, and assess the transformants for beneficial effects on yield parameters, such as starch content, seed weight, germination, de-etiolation, leaf senescence and stress resistance. At the end, I will have thoroughly assessed the potential use of SP1 for manipulating cereal traits linked to yield. A major strength of the proposal is the complementarity of my expertise with that of the host. Our unique combination of skills will ensure success of the project.

Keywords: chloroplast,amyloplast,crop yield
Mobile Smart Tracking Antenna System for Remotely Piloted Aircrafts (TRACKANT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Austria
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2014-11-01
End date: 2015-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

PIDSO, an Austrian SME holding several patents, specializes in ultra‐light carbon‐fibre antenna solutions for diverse applications e.g. in the automotive sector. Based on its outstanding antenna technology know-how, PIDSO recently has developed an innovative communication and control system for Remotely Piloted Aircrafts (RPAs), which is - compared to competitive solutions - significantly lighter and smaller allowing to mount it on RPAS creating the opportunity for using one RPAS as a relay station for another RPAS thereby dramatically increasing range as well as data transmission features. This provides the missing technological base for Beyond-line-of-sight navigation needed to cross through areas with obstacles like buildings in cities or diverse topographical factors. This will pave the way to deploy RPAS for public safety applications (disaster, rescue, …) or precision agriculture (maturity measurement, crop control, disease detection, fertilizer deployment), both unfolding huge commercial and societal impact. Our system is an innovative ICT solution building on a proprietary hardware and electronic construction (antenna, hybrids, 2-axis gimbal, motor-control, contactless rotary joint) plus a highly-sophisticated software consisting of initialization, tracking algorithms, stabilization and closed loop motor controls based on existing and newly developed models, position and direction finding and power management. Our project fits perfectly with the development and business strategy of PIDSO as well as with the requirements of this SME call, adding a completely new, market changing solution. Specific objectives for the feasibility study include field tests with three test partners, in particular RPAS manufacturers, to collect feedback from the primary business opportunity fields to be fed into fine-tuning of the solution to get our product from current to TRL9, building up cost models for production and elaborating a detailed business and market entry plan

Keywords: tracking antenna,tracking antenna system,rpas,long range rpas application,bvlos,bvlos rpas,bvlos application,precision agriculture,precision agriculture rpas,public safety
INteractive CHarging (INCH)

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: 2014-09-01
End date: 2015-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The INteractive Charging (INCH) project aims to commercialise a price-performance optimised smart AC charging station for plug-in electric vehicles (PEVs). It will be designed primarily for home use and use in semi-private areas where several PEVs are charging at the same time. The device will support smart charging of PEVs by offering advanced features not yet available on the market: remote interactive charging power management, real-time communication with external actors, advanced power management, different connectivity options, clustering of charging stations in the same area, precise metering of energy consumption within the charging station and support for latest charging protocols. The INCH project will present an enabling technology for the integration of PEV charging into the European smart grids and for the provision of new services in electromobility. There are two main categories of users that will benefit from INCH: end users who use the PEV charging station and other electromobility actors (service providers, PEV supply equipment operators, DSOs, energy providers, VPP operators) who can offer new services to these end users. End users will benefit from easily charging a PEV on the existing installation without worrying about potential outages, thanks to built-in flexible power management. Other electromobility stakeholders will be able to offer new added value services based on controllability and new data coming from smart charging stations. The proposed feasibility assessment will produce a study which will assess the technical and commercial feasibility of INCH by identifying relevant use cases, analysing user needs, defining the corresponding new functionalities, and researching the HW and SW required for the support of these new functionalities. Economical feasibility of the project will be assessed within the initial business plan, which will include evaluation of project costs and a detailed time-plan for the potential Phase II.

Keywords: smart charging,electric vehicle,electromobility,power management
Practically Relevant Theory of Deep Learning (TheoryDL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Israel
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-02-01
End date: 2021-01-31
Duration (months): 60.0
Total project cost (EUR): 1342500.0
EU funding (EUR): 1342500.0
Participants: 1
Project status: CLOSED

One of the most significant recent developments in applied machine learning has been the resurgence of ``deep learning'', usually in the form of artificial neural networks. The empirical success of deep learning is stunning, and deep learning based systems have already led to breakthroughs in computer vision and speech recognition. In contrast, from the theoretical point of view, by and large, we do not understand why deep learning is at all possible, since most state of the art theoretical results show that deep learning is computationally hard. Bridging this gap is a great challenge since it involves proficiency in several theoretic fields (algorithms, complexity, and statistics) and at the same time requires a good understanding of real world practical problems and the ability to conduct applied research. We believe that a good theory must lead to better practical algorithms. It should also broaden the applicability of learning in general, and deep learning in particular, to new domains. Such a practically relevant theory may also lead to a fundamental paradigm shift in the way we currently analyze the complexity of algorithms. Previous works by the PI and his colleagues and students have provided novel ways to analyze the computational complexity of learning algorithms and understand the tradeoffs between data and computational time. In this proposal, in order to bridge the gap between theory and practice, I suggest a departure from worst-case analyses and the development of a more optimistic, data dependent, theory with ``grey'' components. Success will lead to a breakthrough in our understanding of learning at large with significant potential for impact on the field of machine learning and its applications.

Keywords: deep learning,algorithms,statistics,computational complexity
HEpatocellular carcinoma GErmline MutatiONs ImpaCt (HEGEMONIC) (HEGEMONIC)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 2
Project status: CLOSED

Hepatocellular carcinoma (HCC) is the second most common cause of cancer death worldwide. Although several environmental factors have been identified, many affected individuals never develop HCC, suggesting a genetic susceptibility. Candidate genes and genome-wide association studies (GWAS) have only uncovered a few variants reproducibly linked to HCC. GWAS design typically allows the detection of common variants that usually have small effect sizes. Even taken together, they explain a very limited proportion of the heritability. This could reflect the presence of rare variants that may confer very large effect sizes. These may be captured by next-generation sequencing (NGS). Whole exome sequencing (WES) of thousands of tumors has defined the somatic genetic landscape of the most common cancers. Using WES, the host group has strongly contributed to the identification of the major pathways recurrently mutated in HCC. Nevertheless, despite the large amount of NGS data generated by cancer genome projects, the analysis of rare germline variants (i.e. variation pre-existing in normal cells) is currently a neglected field, particularly in liver carcinogenesis. The HEGEMONIC project hypothesizes that rare variants in coding regions of the genome (exome) impact the risk of HCC. This project proposes an integrative approach combining (epi)genomic information generated by the host group and from publicly available sources. First, the applicant will compare WES data from a series of 350 patients with HCC to nearly 70,000 controls compiled by the Exome Aggregation and UK10K consortia. Then, validation of the top signals will be performed by conventional sequencing in three replication cohorts. Finally, the applicant will analyze genotype-phenotype associations, taking advantage of the extensive clinical data available. Ultimately, the HEGEMONIC project may generate new biological hypotheses in liver carcinogenesis and identify new biomarkers and pharmaceutical targets.

Keywords: liver cancer,exome sequencing
Geothermal energy for costeffective and sustainable heating and cooling (GeoCollector)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Germany,Germany
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 2985250.0
EU funding (EUR): 2089675.0
Participants: 2
Project status: CLOSED

Currently about 47% of the total energy consumption in Europe is needed for space heating and water heating, also considering the industrial heat/process heat. The biggest potential to reduce CO2 emissions significantly is within the heating sector. The ambitious objectives of the European and the worldwide climate and energy policy can only succeed, if the increasing heat and cold supply is considered. The technology of the near-surface geothermal energy offers good prospects for big energy savings and the reduction of greenhouse emissions and also ensures an ideal room climate in summer and winter within buildings. Due to the complex installation, connection and function, existing system solutions (especially in the near-surface geothermal energy) could not establish at the market yet. Another unsolved problem is the large space requirement of the heat source system and the unfavorable cost/benefit relation. Therefore Holzammer Kunststofftechnik GmbH and GeoCollect GmbH developed an innovative geothermal heat absorber system called “GeoCollector”. Project output is the ability to produce the current Prototype GeoCollectors (TRL 6/7) in a way meeting the identified market requirements: - use of renewable energy - low installation effort, low investment costs - high surface extraction rate of heat from the ground, low land usage - best value for money, low amortisation rate, high quality - No approval procedure necessary This is to successfully enter the key user market of companies of the housing sector, industrial companies, public institutions and private owners of houses and properties. Europe’s corresponding high-volume market is valued at €530-€770 Mio. for this field of operation, continuously growing rapid. The GeoCollector project is integral part of HA´s and GC´s strategy of developing and producing permanently new solutions for geothermal energy systems to establish clean and sustainable heating and cooling systems in Europe and worldwide.

Keywords: renewable energy system for heating and cooling,building air conditioning
Social Enterpreneurship in Structurally Weak Rural Regions: Analysing Innovative Troubleshooters in Action (RURACTION)

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: Social Sciences and Humanities
Countries involved: Ireland,Ireland,Germany,Germany,Austria,Germany,Greece,Poland,Greece,Denmark,Portugal,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2016-12-01
End date: 2021-01-31
Duration (months): 50.0
Total project cost (EUR): 2529895.32
EU funding (EUR): 2529895.32
Participants: 12
Project status: CLOSED

Structurally weak rural regions are faced with major social and economic problems. In comparison to urban or intermediate regions, predominantly rural regions are economically less productive and they provide a less extensive scope of desired goods and services. As a consequence, the regions experience a loss of inhabitants, especially of young and highly skilled people. Thus, downward spirals are set in motion that further reduce economic opportunities and prevent rural regions from overcoming their structural deficits. The proposed RURACTION research and training network focuses on socially innovative solutions to these rural problems developed by social entrepreneurs. Social entrepreneurs are understood as practitioners who create and implement social innovations by entrepreneurial means. The question arises under which conditions they operate, how they organise solutions, how they network and empower residents, which impacts they actually have on rural development, and how they can be supported in their problem-solving activities. The European Commission identifies the subject of social innovation in rural regions as a research gap. RURACTION intends to fill this gap. The research and training network brings together highly acknowledged academics and very experienced practitioners from social enterprises to contribute their expertise in this field (e.g. with spring schools, autumn skills seminars and cross-sectoral secondments). It strives to achieve excellent research results and aims at qualifying early stage researcher as equally scientifically and practically skilled experts for social entrepreneurship and social innovations in rural regions – be it in order to conduct further research in this complex scientific field, to professionally support and promote initiatives of existing social entrepreneurial organisations, and/or to professionally start their own initiatives and social enterprises.

Keywords: social entrepreneurship,social innovation,social enterprise,structurally weak rural regions,rural development
GReen power and Energy Efficiency iNvestments community-Financed for fOOTball buildings (GREENFOOT)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Azerbaijan,Italy,Ireland,Austria,Belgium,France,Netherlands,Netherlands
Call: Innovative financing for energy efficiency investments (H2020-LC-SC3-EE-2019, 2019)
Start date: 2020-09-01
End date: 2024-05-31
Duration (months): 45.0
Total project cost (EUR): 1499818.75
EU funding (EUR): 1499818.75
Participants: 9
Project status: SIGNED

The success of the European Energy Union and the transition to a more efficient, low-carbon energy system can only be accomplished with active participation from a substantial portion of Europeans and financing for the many necessary improvement projects. The central goal of GREENFOOT is to support and foster this process by packaging individual participation and financing of the energy transition in the fun, friendly, and well-known context that is European professional sports, starting with the most popular sport: professional football. To accomplish this goal, GREENFOOT will develop and implement a community-based financing scheme for renovating stadiums, practice facilities, and related buildings (e.g. team headquarters, fitness centres) with energy efficiency (EE) and renewable energy (RES) measures. The GREENFOOT concept is to finance sport building EE renovations and RES installations with crowdfunding schemes that propel Europeans to become active participants in the energy transition through their love of sports and their favorite teams. GREENFOOT markets creative investment packages and associated financial contracts that entice sports fans and community members to invest in the energy transition, and allows for easy replication of the GREENFOOT concept through contract / marketing templates. The GREENFOOT concept is applicable to sports-related buildings of all types and beyond, and will be demonstrated on three participating football buildings during the project runtime from major international football clubs (French Federation, Ireland Assoc. and Azerbaijan Assoc.). Massive signal boosting and post-project replication of EE and crowdfunding in sports buildings will be realized by the lighthouse pilot projects and a coordinated communication, dissemination and exploitation effort featuring links to UEFA, the EURO 2020 competition and the world champions of international football as an leading example.

Keywords: crowdfunding,community investment,sports buildings,football buildings,energy efficiency,renewble energy,energy services
‘Plug And Play’ Forest Asset Monitoring Service For Small and Medium Forest Owners based on Sentinell (REFOCUS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: SME instrument
Countries involved: Estonia
Call: Engaging SMEs in space research and development (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-05-01
End date: 2016-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Regio, a leading provider of GIS solutions in the Baltic Sea region and in Eastern Europe, has developed novel algorithms based on Synthetic Aperture Radar (SAR, e.g. Sentinel-1a) data for automated detection of changes in forest stands. Our service is based on the unique combination of high temporal resolution and sufficient spatial resolution input data to provide forest owners information about forest changes in a user-defined area of interest with biweekly updates. The changes reported are deforestation, windfall, fire and insect damage. In addition, alerts of anomalous changes (illegal logging, fire) within the user’s own forest stands are generated operationally. The demo service, launched in 2014, is an outcome of 5 years of intense R&D and nearly €1 million of related investments. Given the substantial performance and cost advantages over both conventional forest inventory methods and also emerging competitors, the service is now ready for the next stage of commercial deployment. However, this requires upgrading automated processes, solving several scalability issues and elaborating the business strategy. The feasibility study aims to analyse in detail the value of the service and end-user’s preferences, determine the practical viability of the service in terms of researched user requirements and business plan development for successful commercialization. These are achieved by interviewing forest owners and forest management companies in our primary target markets for a detailed analysis of their current forest management practices. The report is a vital input for pricing strategy development and technical feasibility assessment. The total addressable market is lucrative as there are at least 3.5 million end-users (private forest owners) and more than 50 000 companies (including 4000 bigger forest management companies) with total forest assets worth over €80 billion in the company’s primary target markets (7 countries) alone.

Keywords: copernicus,sentinel,downstream service,rapid monitoring,forestry,geospatial data,mobile positioning,earth observation,space,saas,decision support tool,standardised,lowcost