Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Nanoreactivity at drastically Extended Timescales (NET)

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-02-2016, 2016)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 105000.0
EU funding (EUR): 105000.0
Participants: 1
Project status: CLOSED

SCM is a scientific software company with a track record of over two decades of translating scientific advances into commercial success. The company’s strength has traditionally lied in electronic structure methods, its flagship product being the well-known ADF package. In recent years SCM has been broadening its scope to add approximate, faster methods. One of such methods is ReaxFF, arguably the most transferable reactive empirical force field method and the computational method of choice for atomistic-scale dynamical simulations of chemical reactions. The addition of ReaxFF to our portfolio is a response to market demand, as materials modellers increasingly require accurate simulations of systems involving up to millions of atoms. ReaxFF is a key component of SCM’s medium and long-term strategy, being its module with the fastest-growing demand (and providing over 160% growth in revenues in the last two years.). However, meeting that demand will require important developments, extending ReaxFF to drastically longer time scales in order to achieve large time and length scales with high-accuracy atomistic resolution, currently a major bottleneck for industrial modellers. Such an extension will reduce the need for supercomputing resources and will require the implementation of acceleration techniques, coupling molecular dynamics and statistical mechanics models. This is highly specialized work that falls outside SCM’s strengths in electronic structure methods, and the company needs to recruit skills combining expertise in a range of molecular modelling schemes as well as modern software development techniques. Such an extended ReaxFF would lower the barrier for manufacturing companies to use modelling as a means to becoming more competitive, extending the market for SCM’s ReaxFF implementation and further driving growth. In particular, manufacturing SMEs without the resources for traditional supercomputing resources represent an untapped market.

Keywords: modelling of chemical reactions,software development,reaxff,commercialisation of scientific results,industrially relevant timescales,manufacturing smes
Dynamics of Inequality Across the Life-Course: structures and processes (DIAL)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: ERA-NET Cofund
Partnership: DIAL (ERA-NET)
Countries involved: Germany,Iceland,Austria,Ireland,Norway,Finland,Lithuania,Poland,Slovenia,Sweden,Switzerland,France,Czechia,Netherlands,Denmark,Portugal,United Kingdom
Call: Dynamics of inequalities across the life-course (H2020-SC6-REV-INEQUAL-2016, 2016)
Start date: 2016-11-01
End date: 2022-04-30
Duration (months): 66.0
Total project cost (EUR): 15817515.15
EU funding (EUR): 5000000.0
Participants: 18
Project status: CLOSED

Existing and rising inequalities pose fundamental challenges to European societies and economies. Large disparities in human and social capacities are counterproductive to a sustainable and creative economy and participatory governance and inclusion. The increasing gulf between rich and poor, exacerbated by the recent financial and economic crises, is a key concern. The sources of inequalities in contemporary societies are complex and highly intertwined and they and their consequences can only be understood through comprehensive, comparative and innovative research activities. It is for this reason that the NORFACE Network is committed to launch a transnational research programme on the topic of Dynamics of Inequality Across the Life-course: structures and processes (DIAL). The DIAL programme will contribute to understanding the dynamics of inequalities as they unfold over the life-course, causal processes and drivers in relation to these inequalities, the role of time with regard to inequalities and the impact of these inequalities on social cohesion. The specific challenge of this Call is to address the dynamics comparatively in their social, cultural, economic and political dimensions and to disentangle the impact of past events and current circumstances on later outcomes to provide solutions to reverse inequalities across the life-course. The NORFACE DIAL programme will coordinate the research efforts of the participating European Member States by implementing a joint trans-national call with European Commission co-funding to fund innovative comparative, transnational and interdisciplinary research initiatives within this thematic field. The NORFACE Network has received core funding under the European Union’s ERA-Net scheme since 2004 and has developed a close partnership of European national agencies responsible for funding research activities in the social sciences. The DIAL programme builds on the successes of the NORFACE Network.

Keywords: dynamics of inequality,life course,research programme,norface sociology,pschology,economics,political science,social policy,demography
MULTIscale SENTINEL land surface information retrieval PLatform (MULTIPLY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Estonia,Germany,France,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Stimulating wider research use of Copernicus Sentinel Data (H2020-EO-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 2994055.0
EU funding (EUR): 2994055.0
Participants: 11
Project status: CLOSED

With the start of the SENTINEL era, an unprecedented amount of Earth Observation (EO) data will become available. Currently there is no consistent but extendible and adaptable framework to integrate observations from different sensors in order to obtain the best possible estimate of the land surface state. MULTIPY proposes a solution to this challenge. The project will develop an efficient and fully traceable platform that uses state-of-the-art physical radiative transfer models, within advanced data assimilation (DA) concepts, to consistently acquire, interpret and produce a continuous stream of high spatial and temporal resolution estimates of land surface parameters, fully characterized. These inferences on the state of the land surface will be the result from the coherent joint interpretation of the observations from the different Sentinels, as well as other 3rd party missions (e.g. ProbaV, Landsat, MODIS). The framework allows users to exchange components as plug-ins according to their needs. The proposal is based on the EO-LDAS concepts developed within several ESA-funded projects, which have shown the feasibility of producing estimates of the land surface parameters by combining different sets of observations through the use of radiative transfer models. We will provide a fully generic flexible data retrieval platform for Copernicus services that provides integrated and consistent data products in an easily accessible virtual machine with advanced visualisation tools. Users will be engaged throughout the process and trained. Moreover, user demonstrator projects include applications to crop monitoring & modelling, forestry, biodiversity and nature management. Another user demonstrator project involves providing satellite operators with an opportunity to cross-calibrate their data to the science-grade Sentinel standards.

Keywords: joint data retrieval,user demonstrator,novel consistent satellite products,data assimilation,web based platform,virtual machine,capacity building,multiple senses,copernicus sentinels
Age at maturity in Atlantic salmon: molecular and ecological dissection of an adaptive trait (MATURATION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Finland
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-09-01
End date: 2022-12-31
Duration (months): 64.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Life history is the nexus of biology, because various biological questions ultimately revolve around the causes and consequences of variation in reproduction and survival, i.e. fitness. Traditionally, a major tool in life-history research has been quantitative genetics because it provides an important statistical link between phenotype and genotype. However, the mechanisms by which evolution occurs may remain unclear unless such traditional approaches are combined with molecular investigations. Another complicating factor is that the fitness of male vs female life histories do not always align, and hence life history traits may be shaped by sexual conflict. This is why life-history approaches focusing on both quantifying the conflict and understanding its resolution at the genetic level are needed. As in many species, age at maturity in Atlantic salmon is tightly linked with size at maturity and thus represents a classic evolutionary trade-off: later maturing individuals spend more time at sea before returning to freshwater to spawn and have higher reproductive success due to their larger size but also have a higher risk of dying prior to first reproduction. Our recent cover paper in Nature reported a large-effect gene explaining 40% of the variation in this key life history trait. Remarkably, the locus exhibits sex-dependent dominance and this resolves a potential intra-locus sexual conflict in the species. The relatively simple genetic architecture of this trait combined with the features of Atlantic salmon as a model system offer an ideal opportunity to better understand the molecular mechanisms and ecological drivers underlying a locally adapted life history trait. In MATURATION I will i) characterize age at maturity candidate gene functions and allelic effects on phenotypes ii) elucidate fitness effects of these phenotypes and GxE interactions iii) develop a mechanistic model for the sex-dependent dominance and validate intra-locus sexual conflict resolution

Keywords: altantic salmon,sexual conflict,local adaptation,evolutionary genomics,ecological genomics
A new patented technology to turn currently non-recyclable waste into recyclable composite products for a truly circular economy (REMAT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Finland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-04-01
End date: 2019-07-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

WIMAO is flipping the “take, make and dispose of” model on its head and helping EU member states meet ambitious targets to recycle up to 75% of waste by 2023. In the past 3 years, the team at WIMAO has put our careers in recycling to use by developing REMAT: a patented technology to turn non-recyclable mixed plastic waste streams and other non-recycled materials into composite products. Our products have the full consistency and the same physical properties as composites produced with virgin raw materials. Beyond that, the end products we manufacture are recyclable at the end of their life cycle creating an infinite loop. We have set up a pilot REMAT facility that started production in January 2019. We are turning mixed plastic waste that is not wanted by the plastic recycling industry and wood waste into, composite products. The total available raw material (waste streams) for our products is calculated in billions of tons, giving us a nearly unlimited growth potential. If the capacity of our REMAT plants were to match this potential supply, we could ideally replace all composite products on the market with our recycled composite raw material. WIMAO is uniquely positioned to create a new standard operating mode for the recycling industry. Our breakthrough has been creating high-value materials from many mixed inputs, effectively surmounting the key barrier for recycling: the need to separate waste streams. We have the only technology versatile enough to handle the volumes of waste that Material Recovery Facilities (MRF) collect, exactly as they receive it. Our technology is a radically new opportunity to push Europe towards its circular economy
Scaled Test Aircraft Preparation and Qualification (SCALAiR)

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: Netherlands
Call: Test aircraft preparation and qualification for Scaled Flight Testing (PREP) (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2016-10-01
End date: 2021-03-31
Duration (months): 54.0
Total project cost (EUR): 2000011.25
EU funding (EUR): 2000011.0
Participants: 1
Project status: CLOSED

To reduce CO2, Fuel Burn, NOx and noise in aeronautics, while coping with the mobility demands of its citizens, but also to tackle the competition with USA, the European community needs new radical Large Passenger Aircraft configurations. These configurations incorporate vast innovations in the field of fuselage, wing design, and hybrid-electric propulsion. The Scaled Test Aircraft Preparation & Qualification (SCALAiR) project will deliver a flexible, modular, reconfigurable, cost-effective, and easy to operate scale model aircraft, being the enabler towards dynamically scaled model aircraft research. This platform provides low-cost and low-risk validation of advanced aircraft achieving the ultimate Flightpath 2050 challenges. This proposal is fully realised by a unique proposer (NLR), gathering robust and proven expertise. The project activities start with the overhaul, updates, required modifications and qualification of the scaled aircraft of FP6’s NACRE project. Afterwards, new components or an entirely new scaled aircraft will be developed, in close coordination with the partners of CS2’s LPA WP 1.3. As such, this 48 months-long, 3.6MEuro valued action does not only align the strategies between dispersed institutions of our continent, but also spreads the knowledge of a potential best practice in aeronautical development, with various potential applications: Scale models are expected to serve as innovation catalysts, taking a globally leading role.

Keywords: scaled flight testing,system engineering,overhaul,system qualification,system calibration,system integration,fmcs
Pre-Commercialisation of Sound Recognition for Surveillance Applications (SMARTSOUND)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Finland
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-09-01
End date: 2019-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: CLOSED

Audio communication is a major tool for businesses to maintain their competitiveness in the global market. This market is expected to treble by 2020 to $2.145 billion and creates a great demand for novel ideas, such as acoustic pattern recognition technologies. Similarly, the explosion in big data is calling for new data classification methods for improved data indexation and real-time monitoring of the data streams. We have developed acoustic pattern classification methods that are able to detect and recognise a large number of different types of sounds in various everyday contexts. Current acoustic monitoring solutions are able to detect only a small number of very prominent sound events (e.g. baby crying, doorbell), and are not able to operate in realistic environments, where other interfering sounds and reverberation is present. In real life sound recognition recordings, we have recently advanced the deep neural network state-of-the-art by a large margin. The advancement of the methods has enabled recognition of new types of sounds in realistic environments, which were considered infeasible just a few years ago, allowing development of novel applications of sound analysis. We’d expect our technology find its way to various applications, such as 1) surveillance of homes and other buildings for threat detection, 2) navigation, interaction and self-awareness of robots as well as interconnected smart devices, and 3) data indexation operations in video management, just to name few. Within this PoC project, we will prove the efficiency of our technology in real life setting. The goals of the PoC project are to establish the technical feasibility of our idea, implement a commercial prototype of the proposed software and establish its commercialisation potential via various activities.

Keywords: pre commercialisation,proof of concept,acoustic pattern classification,sound event detection,audio content analysis,acoustic surveillance,acoustic monitoring,industrial applications
High-throughput single-cell phenotypic analysis of functional antibody repertoires (FuncMAB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Switzerland,France
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2024-01-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1223000.0
Participants: 2
Project status: SIGNED

Antibodies play an important role ensuring successful protection after vaccination. Upon injection, antigen-binding antibodies are generated to prime the host’s immune system for future encounters with the threat. These responses are highly heterogeneous, with each cell contributing with a single antibody variant to the complexity. Each antibody variant furthermore can recognize a different antigen/epitope with varying specificity and affinity. The immunological function induced is related to those parameters. Depending on the nature of the threat, required protective functional antibodies vary. Therefore, also each vaccination against those threads needs to trigger a specific functional antibody repertoire. Presently, induced functional antibody repertoires have not yet been studied sufficiently, mostly due to the lack of technologies that enable analysing these repertoires with high enough throughput and resolution. Consequently, the mechanisms behind the evolution of these functional repertoires, and the influence of vaccination on these repertoires remain poorly understood. An innovative technology combined with a methodical approach to vaccinations will enable the FuncMab research team to generate data sets needed for the understanding of immunological processes that result in different functional antibody repertoires. Herein, antibodies are analysed on the individual cell level in high-throughput using specific bioassays that target various antibody functions and their biophysical parameters, generating high-resolution data. These functional repertoires are followed over time and evolutionary changes can be linked to introduced vaccine variations, allowing a quantitative approach to study the changes within the repertoires. These in-depth data sets will not only allow understanding interactions between vaccine components and their generated immune responses, but also propels this project to the forefront of creating a new generation of successful vaccines

Keywords: bioanalytical science,antibody producing cells
Optical Coherence Tomography for Intraocular Lenses (OCT4IOL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-01-01
End date: 2016-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The replacement of the crystalline lens of the eye by an artificial intraocular lens (IOL) is one of the most frequent procedures worldwide (3 millions/year in Western Europe). The surgery is required to correct for the age-related loss in transparency (cataract), but it is also performed to correct for refractive errors, and may be envisioned to correct for presbyopia in a younger population (>45) with future accommodating IOLs that restore the eye focusing capability. Despite the development of new IOL designs and a steady market growth of IOLs (particularly of Premium IOLs, aiming at delivering optimal vision quality to the patient), the techniques to select the optimal IOL design have not evolved at a similar pace. As cataract surgery moves into new paradigms, access to ocular imaging-based technologies that allow accurate selection of the IOL and evaluation of the surgical outcomes becomes essential. The PRESBYOPIA ERC-Advanced Grant investigates basic mechanisms of the crystalline lens accommodation, to propose nature-inspired IOL designs to correct presbyopia. With this aim, we have developed a laboratory prototype for full 3-D quantitative anterior segment Optical Coherence Tomography (OCT) based on our proprietary method to reduce distortion and automatic quantification. We have demonstrated the capabilities of this instrument to provide accurate crystalline lens topography in vivo and full 3-D optical biometry in cataract patients pre- and post- implantation of IOLs. The OCT4IOL ERC-Proof of Concept will evaluate the marketability of this OCT line, generate new IP, developing a product commercialization plan, and reaching a strategic partnership alliance, with the ultimate goal of developing an instrument that brings eye surgery into new paradigms for IOL selection and customization in cataract surgery.

Keywords: ocular imaging,cataract surgery,intraocular lenses,biometry,ophthalmology,vision