Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Development and demonstration of materials and manufacturing process for ultra high reliability electric Anti-ice/De-ice thermal layers for high strain rotor blades and helicopter airframe sections (NO-ICE-ROTOR)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Austria,Austria,Austria,Austria,Latvia
Call: Development and demonstration of materials and manufacturing process for ultra high reliability electric Anti-ice/De-ice thermal layers for high strain civil rotor blades and airframe sections of tiltrotor (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2017-01-01
End date: 2023-01-31
Duration (months): 73.0
Total project cost (EUR): 985000.0
EU funding (EUR): 749987.44
Participants: 6
Project status: SIGNED

The expected outcome of the NO-ICE-ROTOR project is structural and environmental test substantiation of ultra high reliability heater layers which are capable to be integrated into an advanced tilt civil rotorcraft configuration with high cruise speed, low fuel consumption and gas emission, low community noise impact, and high productivity for operators. The realisation of such an advanced tilt civil rotorcraft is the objective of the Clean sky Fast Rotorcraft Project (FRC). It is the aim of this project to use technologies developed through the Clean Sky Programme to demonstrate a compound rotorcraft configuration that combines the vertical lift capability of the conventional helicopter with the speed capability of a fixed wing aircraft in a sustainable way. The overall objectives of the NO-ICE-ROTOR project are: - Design and development of heater layer for application in tilt rotors - Establishment of test criteria and test matrix project - Manufacturing of suitable test pieces for ice protection system (IPS) testing - Structural and environmental rig test adaptations for IPS testing - IPS rig and coupon test realization and tests results - Synthesis of results: comparison of performance of materials and of technologies tested The specific objective of the NO-ICE-ROTOR project is to develop heater layers to be embedded in composite structures to provide anti-icing and de-icing capability where safety requirements dictate ultra high reliability, while operating in high strain and vibration conditions. Structural and environmental testing will be conducted on representative test items consisting of functional heater layers embedded in the prop-rotor blade and airframe sections of a tilt-rotor configuration intended for civil certification.

Keywords: tilt rotor,rotor blades,anti ice,de ice,thermal heating,heat able coatings
The first and ultimate bio-solution to Europe’s mould and rot fungi! (BIOAVENGER)

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: 2019-07-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Over 125 million tonnes of staple and horticultural crops are wiped out each year due to fungal infections. For example, over 5% of Europe’s vineyards are annually lost to fungi. New, ever-more-powerful chemical fungicides are being used on crops, leading to a rise in excessive use of aggressive chemical fungicides, such as copper sulphate, which accumulate in the soil. This ultimately results in decreased soil fertility and low crop yields as well as harmful fungicide entry into the food chain. In turn, the latter is pushing a shift from chemical fungicides to safer bio-fungicides through legislative (e.g. Directive 2009/128/EC) as well as consumer concern and demand for use of safer methods (i.e. organic food market CAGR of 14.8%). Our innovation, BioAvenger, is a new, natural, environmentally-friendly, yet effective bio-fungicidal method. BioAvenger treats emerging and resistant fungal mould and rot infections in trees, vines and horticultural crops! BioAvenger is applied into the soil like any fertiliser, making its incorporation into current agricultural practices easy at less than 80% of the price of available bio-fungicides. We, MycoSolutions, are a leading Swiss producer of natural fungi-based products for plant and wood protection. Today we boast a team of 12 researchers and plant enthusiasts (7 women and 5 men). Europe’s exploding bio-fungicide market, led by Germany, Spain, France and Italy, is where we will target retailers and distributors of pesticide products (B2B sales) and horticultural farmers and arborists (B2C sales). Using our pilot range of bio-fungicides to prepare our market for BioAvenger, we have already established a 200-client base in the DACH region and Italy. BioAvenger will become one of our main revenue streams and allow us to achieve a bio-fungicide market share of 2.3% by 2026, followed by sustained turnover growth of at least 30% in the next years.
Exascale Programming Models for Heterogeneous Systems (EPiGRAM-HS)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Germany,Switzerland,Sweden,United Kingdom,United Kingdom,United Kingdom
Call: Transition to Exascale Computing (H2020-FETHPC-2017, 2017)
Start date: 2018-09-01
End date: 2021-11-30
Duration (months): 39.0
Total project cost (EUR): 3998741.25
EU funding (EUR): 3998741.25
Participants: 8
Project status: CLOSED

The first exascale supercomputer is likely to be on-line in the 2020-2021 time period and to employ highly heterogeneous compute and memory subsystems. Only the presence of mature programming environments can guarantee its efficient usage since day one of its delivery. EPiGRAM-HS, leveraging the results of the EPiGRAM project, will provide such a programming environment. The overall objective of EPiGRAM-HS is the development of a new validated programming environment for large-scale heterogeneous computing systems, including accelerators, reconfigurable hardware and low-power microprocessor together with non-volatile and high-bandwidth memories, for enabling applications to run on large-scale heterogeneous systems at maximum performance. EPiGRAM-HS will first extend the programmability of large-scale heterogeneous systems, by introducing new concepts, adding functionalities and carrying out implementations in MPI and GASPI. EPiGRAM-HS will also maximize the productivity of application development by designing and implementing APIs, runtime systems, and a DSL, for auto-tuned communication, optimized data placement, automatic code generation and data migration. Finally, the EPiGRAM-HS programming environment will be integrated into and validated against large HPC scientific applications and a deep-learning framework for data analytics. Most importantly, EPiGRAM-HS will provide a migration path for applications to use large-scale heterogeneous systems. By contributing to the standardization of MPI and GASPI, we will ensure that new proposed features are standardized for a large and broad adoption. EPiGRAM-HS consortium has been designed to create a balanced team from academia, high-performance computing centers, intergovernmental organizations and industry. The EPiGRAM-HS has the ambition of providing the future programming environment for the European exascale Demonstrator and will have a major impact on programming exascale supercomputers.

Keywords: large scale supercomputers,accelerators,reconfigurable hardware,non volatile memory,high bandwidth memory,gaspi,runtime systems,apis
Understanding Europe’s Fashion Data Universe (FashionBrain)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Big Data PPP (cPPP)
Countries involved: Germany,Switzerland,Switzerland,Netherlands,United Kingdom
Call: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 2794448.75
EU funding (EUR): 1699323.75
Participants: 6
Project status: CLOSED

The primary goal of each retailer is to “understand your customers”. Our interviews with retailers show a primary demand from the retail industry for predicting a customer's next demand. Surprisingly , even a complete record of past purchases (and returns) is not sufficient to understand how items in a company's catalog do or do not connect with the customer's general tastes, lifestyle and aspirations. Moverover, from a business perspective, any efficiency gains in the logistics of supplier management, shipping and handling are rather minor, compared to the gains one could obtain from a better understanding of the customers’ personalities and habits. Given that the customer demands trigger proactive stocking and fashion production, this appears as a logical consequence. In this project, we want to consolidate and extend existing European technologies in the area of database management, data mining, machine learning, image processing, information retrieval, and crowdsourcing to strengthen the positions of European fashion retailers among their world-wide competitors. Our choice for the fashion sector is a concise one: i) as a multi-billion euro industry, the fashion sector is extremely important for the European economy; ii) Europe already has a solid position in the world fashion stage, however, to maintain its position and keep up with the competitors, European fashion industry needs the help of advanced technology; and iii) European fashion industry provides an excellent exercise for new technologies, because it is a multi-sectorial by itself (i.e., imposes challenging data integration issues), it has a short life-cycle (i.e., requires timely reaction to the current events) and it involves diverse languages and cultures. The main outcome of the FashionBrain project is the improvement of the fashion industry value chain obtained thanks to the creation of novel on-line shopping experiences, the detection of influencers, and the prediction of upcoming fashion trends. Tangible outcomes will include software, demonstrators, and novel algorithms for a data-driven fashion industry.
Setup of a laboratory to analyse heat pump performance (LAB2SHAPE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Netherlands
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2021-01-18
End date: 2022-01-17
Duration (months): 12.0
Total project cost (EUR): 180105.36
EU funding (EUR): 126073.75
Participants: 1
Project status: CLOSED

In order to replace fossil fuel-based residential heating systems, heat pump technologies have matured rapidly. Although heat pumps are known to be an extremely efficient way of heating and cooling, there is at this time no consistent method for analysing and quantifying the efficiency of heat pumps in a reliable and reproducible way. In addition, existing analytical methods do not take into account the complete energetic performance of heat pumps, which e.g. includes heating, cooling, the production of hot water and defrosting cycles. Moreover, there is no reproducible and reliable method for making predictions regarding the energetic performance of heat pumps over a longer time and in different scenarios, such as changing climate conditions and in district heating applications. Peutz is a Dutch SME that specialises in advising clients on a wide range of topics in construction engineering, and it sees a clear business opportunity in setting up a laboratory that is able to independently measure and certify the performance of heat pumps. Moreover, it envisions that this lab will be able to reliably predict heat pump performance over a longer time and in different environments. In order to fully explore this business opportunity, understanding of general energy theory, in combination with software and hardware/electronics expertise is required. In addition, knowledge and expertise with respect to experimental data acquisition and processing is essential. Such very specialised expertise is currently not available within the company, and due to a high demand and very limited pool of candidates it has been impossible to attract this expertise in the Netherlands. The IA grant will increase Peutz’ international visibility and provide financial resources to find, attract and train a suitable candidate outside of the Netherlands. When successful, the IA will be able bring Peutz to a higher level by transforming the idea to a real innovation with great societal relevance.

Keywords: heat pumps,sustainable energy
Keeping and Increasing Resilience Opportunities and Sustainability of communities against earthquakes (KaIROS)

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: Information Science and Engineering
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2021-02-10
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

KaIROS proposal focuses on earthquake disasters; its main purpose is to provide beyond-state-of-the-art approaches to reduce seismic risk worldwide. That is, keeping and increasing the opportunities for resilience and the sustainability of communities against earthquakes. The key to reducing seismic risk is decreasing the vulnerability of existing structures and providing new insights to improve the design of new structures. Thus, main specific goals and modules are inventory, assessment, strengthening and regulations. Each module embodies state-of-the-art knowledge and new advances to form a robust and efficient tool for risk assessment. Concerning inventory, a new comprehensive BTM will include the most relevant building types around the world. The assessment tool will be based on fully probabilistic Incremental dynamic analysis of realistic structural models subjected to realistic seismic actions, so that the simulation results approach real outcomes. Thus, an innovative outcome of KaIROS is that it will provide probabilistic damage curves for the enhanced BTM. Specific measures related to reinforcement and/or to protection devices will be analyzed within the Strengthening module. Concerning Regulations, the main contributions will be associated with specific recommendations for strengthening, retrofitting and designing buildings. In addition, simplified coefficients allowing considering the directionality and weakening effects in the expected physical damage will be developed. KaIROS is sensitive to the gender dimension of natural disasters and a special module will investigate this issue. An open access soft-ware that can be used to assess the expected damage at urban level by considering several structural typologies and to perform cost-benefit analyses of strengthening measures, amongst many other possibilities, will be created and promoted. Special attention will be devoted to dissemination so that policy-makers and stakeholders can benefit from KaIROS.

Keywords: seismic damage assessment,strengthening,increasing resilience,increasing sustainability,gender dimension
Challenging and extending predictive coding as an account of brain function (EXPC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2025-05-31
Duration (months): 77.0
Total project cost (EUR): 1464713.0
EU funding (EUR): 1464713.0
Participants: 1
Project status: SUSPENDED

Probabilistic models of brain function, which propose that the brain can be understood as implementing the principles of optimal statistical inference, have become extremely influential in recent years. Predictive coding is perhaps the most widely held, and best supported, of these models, particularly within cognitive neuroscience. However, current models of predictive coding and its neuronal substrates are still relatively simple, and do not explain how humans solve a number of fundamental problems. This limits their power to explain brain function. I propose a series of experiments designed to test how human subjects address a number of these core problems. I will use behavioural and neuroimaging data to develop and test extensions to current models (or, if necessary, provide an alternative framework for understanding brain function). The purpose of this is two-fold, to give insight into the computations that underlie cognitive function, and to provide understanding of the neurobiological processes that support those computations. The project will thus constitute a stepping stone towards developing a mechanistic model of how the brain implements cognition.

Keywords: predictive coding,bayesian brain,neuroimaging
TRAIN@Ed (TRAINEd)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: United Kingdom
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2017, 2017)
Start date: 2018-06-01
End date: 2023-11-30
Duration (months): 66.0
Total project cost (EUR): 5310000.0
EU funding (EUR): 2655000.0
Participants: 1
Project status: SIGNED

TRAIN@Ed is a research fellowship programme for 25 experienced researchers (around 4 -6 years after gaining their primary degree) which will provide researchers with an international, interdisciplinary and intersectoral mobility experience. The TRAIN@Ed programme will educate experienced researchers in research excellence AND transferrable skills. TRAIN@Ed Fellows will have an employment contract with the University of Edinburgh for a research fellowship for up to three years. TRAIN@Ed fellows will pursue research and transferrable skill training at the University of Edinburgh, and will also spend some time in the industry of their choice. At the end of the TRAIN@Ed programme, TRAIN@Ed alumni will have the knowledge, skills and experience for fulfilling and productive careers either in academia OR in industry. The values of the scheme align with those held by Horizon 2020: Excellent Sciences, Industrial Leadership and addressing Societal Challenges, and the Marie-Skłodowska Curie Actions of providing excellent, innovative research training and career progressive and knowledge exchange and mobility opportunities. Although the focus of the TRAIN@Ed programme is in developing research skills through carrying out a research project, a holistic approach to career development of the researchers will be taken: the programme will provide mentoring, transferrable skill development (including public engagement training), and careers advice. TRAIN@Ed delivers in important areas of experienced researcher development in the European Union: Firstly, it provides a highly visible research opportunity for experienced researchers, with secure employment for three years. Secondly TRAIN@Ed addresses a major gap in opportunities for early career researchers to collaborate with industry. Thirdly, TRAIN@Ed complies with best practice in supporting researcher careers. TRAIN@Ed will benefit the researchers, the University of Edinburgh and the European economy.

Keywords: post doctoral training,global health and wellbeing,global energy,data science,arts and design informatics,ageing and regeneration,city living and smart cities
SUPPORT TO THE DEVELOPMENT AND ANALYSIS OF AN R AND I POLICY TAXONOMY AND QUESTIONNAIRE - PHASE 2 (REITER 2)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Innovative societies
Action type: Coordination and support actions
Countries involved: France
Call: Implementation and analysis of the joint Commission-OECD international survey on STI policies (H2020-IBA-SC6-OECD-2018, 2018)
Start date: 2018-07-01
End date: 2020-06-30
Duration (months): 24.0
Total project cost (EUR): 874147.5
EU funding (EUR): 720000.0
Participants: 1
Project status: CLOSED

The project’s overarching goal is to further develop the evidence base for R&I policies, which should in turn contribute to better national and European R&I policy and programme design. It builds on a first phase of development (in the H2020-funded REITER project) that saw a new knowledge management system put in place, consisting of a new survey tool and database, driven by semantic taxonomies. These were developed to enhance data collection, storage and open access. The STIP Compass portal was built on top of this infrastructure to provide public access to information on national STI policies through user-friendly interfaces for data exploration and discovery. The second phase of REITER seeks to strengthen the foundations built in the first phase – by raising the quality of data collected on countries R&I policies, linking to a wider variety of reliable complementary data and developing further dashboards. The project will also extend the types of data analysis that can be carried out and will develop new information services such as decision-support tools. These tools will be developed in the context of ongoing OECD and EC projects covering two topic areas of high policy relevance: research funding and knowledge transfer. They will be enabled by further taxonomy development supporting data discovery and guided analysis. The project also includes collecting future R&I policy information by administering the 2019 edition of the STIP survey to at least 60 territories. It will also devote considerable effort to promoting the use of STIP Compass as a central platform for policy research and advice supporting government officials, analysts and scholars among European Union (EU) and OECD member countries and within the secretariats of the OECD and European Commission (EC). Last but not least, the project will monitor the state-of-art in the field with a view to deploying innovative approaches to data collection and analysis.

Keywords: reiter,semantic,taxonomy,linked data,oecd,policy survey,sti policy,randi policy,policy monitoring,open data,policy database