Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Revealing the neurocognitive mechanisms underlying the visual perception of social interactions (POINTS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom,United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 1499672.0
EU funding (EUR): 124562.0
Participants: 3
Project status: SIGNED

“Social perception” has emerged as an umbrella term to describe research addressing the visual perception of others. To date, this discipline has focused on the perception of individuals; for example, researchers have examined the visual processing of faces and facial expressions, body shapes and postures, actions and kinematics. The resulting body of research suggests that social stimuli are detected by specialised mechanisms, recruit dedicated perceptual models, and are processed by particular neural substrates. However, while social perception research has made considerable progress elucidating the visual perception of individuals, virtually nothing is known about the visual perception of social interactions; how we detect, encode, and interpret visual displays of social interactions viewed from third-person perspectives. Given the adaptive value of accurate interaction interpretation, this paucity of knowledge represents a remarkable gap in our understanding of social perception. POINTS will develop a battery of original behavioural and neuroimaging paradigms to reveal the neurocognitive mechanisms that mediate this essential form of social perception. The overarching objective of POINTS will be achieved by addressing five research questions: 1) Do observers exhibit evidence of interaction detection mechanisms? 2) How do we process fleeting visual displays of social interactions? 3) How do we represent dynamic interaction change? 4) Do specialised neural substrates mediate interaction perception? 5) Do some observers exhibit impaired interaction perception? The POINTS project represents a significant step-change in social perception research. Understanding the mechanisms of interaction perception will provide new insights into the organisation of the human visual system, and will inform attempts to remediate socio-cognitive and perceptual deficits in neurodevelopmental populations, including those with Autism Spectrum Disorder.

Keywords: social perception,face perception,body perception,facial expressions,autism spectrum disorder,visual perception
Providing Clarity of Fetus Heartbeat Through Baby Beat Bracelet Measuring Fetal Arterial Pulse Wave (Baby Beat)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-2-2014, 2014)
Start date: 2015-05-01
End date: 2017-04-30
Duration (months): 24.0
Total project cost (EUR): 1091515.0
EU funding (EUR): 764060.0
Participants: 1
Project status: CLOSED

Baby Beat represents our innovative response to the declining birthrate, increasing pregnancy risks and risks related to the generally higher age of pregnant women. It consists of a bracelet with integrated non-invasive technology that continuously measures the fetal heartbeat 24 hours, 7 days a week from around Week 20 of the pregnancy. This wearable device communicates with smart phones via Bluetooth and generates automatic alarms when the fetal heartbeat exceeds specific thresholds. The main innovations are that this method is non-invasive unlike all other devices available on the market and that it will be available at an attainable price of a few hundred euros. The overall objective of Phase II is to miniaturize the existing prototype, to test and demonstrate its usefulness on a larger group of pregnant women in clinical trials, and to obtain the necessary certifications for Baby Beat to become a medical device. The market size for Baby Beat is promising when considering the number of pregnancies per year, following the trends of the prenatal retail market and considering the boom of non-invasive prenatal tests. There are 23 million pregnancies in the developed world itself. We will follow a two-tiered business model with direct sales through pharmacies and indirect sales through insurance companies, hospitals and clinics. This will allow us to boost our company growth and to create a significant amount of new jobs. With our medical device and software, we foster the prevention of prenatal problems, and facilitate the provision of personalized care: high risk cases do not remain undiscovered, risk patients only proceed with visits if Baby Beat indicates a need, risk patients do not need to be hospitalized and different agents of the healthcare system will better coordinated.

Keywords: non invasive prenatal diagnostics,fetal heart rate monitoring,prenatal medical device,wearable device,self mixing interferometry,algorithms,smartphone,android,wireless communications
Camelina Oil for Sustainable Salmon Aquafeed (CORE)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Spain
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Seafood is a major source in the human diet of Omega 3 long-chain poly unsaturated fatty acids -such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)- , which plays a very important role in human health. Fish oil is a vital strategic ingredient for farmed fish and crustaceans, since it provides the required quantities of Omega 3 fatty acids, especially at the critical growth stages. The prospects for increasing the production of fish oil are very limited, since most of the fisheries for fish oil production are now tightly monitored to not exceed the established fishing quotas and Total Allowable Catches (TACs). As current supply rates cannot keep up with demand, the fish farming industry, which grows close to 6% annually, in future will have to use less fish oil. To remain competitive, limit environmental degradation and optimize the efficient use of fish oil, the development of more resource-efficient and sustainable vegetable oil for aquafeed production is needed. Camelina oil, due to its unique fatty acid composition, is a sustainable vegetable oil that shows higher potential than other vegetable oils to replace fish oil in farmed salmonids diets while contributing to maintaining DHA and EPA levels. Camelina Company España (CCE), the European leader in sustainable camelina oil production, will perform a feasibility study to evaluate the new business opportunity of introducing camelina oil as an innovative key ingredient in the new oil blend that salmon aquafeed producers are currently developing to reduce fish oil dependency and increase the technical and environmental performance of salmon fish feed.

Keywords: aquafeed,salmonids,fish oil,omega 3,camelina,sustainable
x66 optimized APIs real-time transformation in just 4 hours (LiveIT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-2-2015, 2015)
Start date: 2016-04-01
End date: 2018-04-30
Duration (months): 25.0
Total project cost (EUR): 4810000.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: CLOSED

Streamdata.io is a 9-year-old software company with customers in 7 european countries for its on-premise product, Motwin. Streamdata.io is also a new development tool specialized in real time applications for connected objects (Internet of Things), web browsers, smartphones and tablets, offering 90% savings versus current solutions in terms of technical, economical and environmental impact. Targeted applications are covering various fields such as finance, news, media, e-commerce, and transportation. The main objective of this project is the enshrinement of the leading position of Streamdata.io to disseminate its technology to developers worldwide through partnerships and direct sales. To do so, virality mechanisms -content marketing, benchmarks, demonstrations, extensions, developer conferences- should be implemented for Streamdata.io to be known then accepted by the growing number of users facing the challenge of creating scalable real-time applications.

Keywords: mobile,real time,streaming,fintech,cleantech,big data
SHIPPING CONTRIBUTIONS TO INLAND POLLUTION PUSH FOR THE ENFORCEMENT OF REGULATIONS (SCIPPER)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Hong Kong,Finland,Sweden,Finland,Sweden,Greece,France,France,Netherlands,Denmark,United Kingdom,United Kingdom
Call: InCo flagship on reduction of transport impact on air quality (H2020-MG-2018-TwoStages, 2018)
Start date: 2019-05-01
End date: 2023-01-31
Duration (months): 45.0
Total project cost (EUR): 5060306.75
EU funding (EUR): 4987619.25
Participants: 19
Project status: SIGNED

SCIPPER will implement available and innovative techniques for monitoring the compliance of individual ships to existing sulphur and future NOx and PM air pollution regulations. Using five field measurement campaigns, one mirror campaign in Hong Kong and long-term monitoring data SCIPPER will assess the suitability, operational capacity, and cost-effectiveness of various monitoring methods. The techniques identified include on-board, on-shore in situ and optical remote, airborne, and satellite systems: assessment will be demonstrated in ports (Gothenburg, Hamburg or Rotterdam and Marseille) and in the shipping lanes of the North and Baltic Seas, English Channel and Mediterranean. Where available this will be carried out in parallel to established official monitoring methodologies. Bilateral knowledge exchange to ports in Asia, Australia and the US will be enabled through the consortium’s extensive network of contacts, thereby advancing the global impact of EU initiatives. New innovations to be tested by SCIPPER include: on-board and airborne sensors to measure black carbon and ultrafine particles; a new ultra-sensitive ‘sniffer’ SO2 method and; the potential use of satellite observations for monitoring individual vessel NOx and SO2 emissions. Measurements will also be used to develop relevant emission factors, required by emissions inventories and Air Quality (AQ) simulation models. AQ models will be enhanced to simulate secondary aerosol formation as the emission plume ages in the atmosphere. Using these advanced simulation tools, SCIPPER will quantify the environmental and health impacts of varying degrees of regulatory compliance for selected test cases. The overall objective of SCIPPER is to provide authorities with: (i) fundamental technical information in developing their enforcement approaches and (ii) modelling tools and monitoring techniques in order to quantify the environmental benefits of successful enforcement.

Keywords: monitoring,enforcement,pollution,shipping,emissions
Nanoscale active matter to power microstructures (NanoscAM)

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: Physics
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-12-01
End date: 2022-11-30
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 128953.92
Participants: 1
Project status: CLOSED

Living systems are prototypical examples of active matter made of self-driven units. Active colloids that convert energy into work offer exciting routes to emulate Nature’s complexity and open new opportunities in materials science and engineering. They enabled the formation of synthetic flocks and collective behavior formerly limited to the biological realm but have not been used to build and control functional units, hindering progress towards self-regulated materials. The objective of this project is to develop a 3D nanofuel, a fluid made of active nanoparticles. The advantage of active nanoparticles is their possible integration in micrometric structures, a feature that is not currently available with microscale active particles. Such structures will offer improved versatility, as the overall behavior can be tuned by changing the characteristics of the nanofuel and have the potential to generate work at large scale. To this end, the research project proposes to i) synthesize a nanometric self-driven unit with tailored propulsion mechanism, ii) characterize the emergent dynamics of large assemblies of such units and iii) exploit those as an internal nanomachinery, a nanofuel, to power microstructures. This will enable the creation of a novel type of active emulsion, driven at the nanoscale. Through the design of a nanofuel, the proposed research will furthermore explore for the first time active matter in 3D and nano-propulsion. This project is built upon advanced nano-optical and correlation techniques, used to synthesize, characterize, and manipulate active nanoparticles individually and collectively, and involves complementary expertise of the host team in optofluidics and nanoparticle synthesis and of the researcher in active matter and nano-optics. This research will extend the field of active matter to the nanoscale and open new routes for the design of smart materials with tunable behavior and functionality.

Keywords: active matter,interfacial transport,self organization,microfluidics,self assembly,optofluidics,optical,microscopy,nanoparticle synthesis
Novelties, Biases, and Landscapes in Evolution (NOBLE)

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: Environment and Geosciences
Countries involved: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-08-16
End date: 2023-10-24
Duration (months): 24.0
Total project cost (EUR): 202158.72
EU funding (EUR): 202158.72
Participants: 1
Project status: SIGNED

Several challenges undermine our ability to predict the course of evolution: the likelihood of evolutionary novelties, the impact of the adaptive landscape, and the influence of developmental biases. NOBLE (NOvelties, Biases, and Landscapes in Evolution) will make use of cutting-edge machine learning, fossil times series, and biomechanical modelling to generate a synthesis of the predictability of phenotypic evolution. First, NOBLE will use ancestral state reconstruction to determine if origination of and loss of novelties are predictable over macroevolutionary timescales (>113 million years). Trait origination may be predictable from ancestral morphology, while degree of trait specialization may predict loss. Next,NOBLE will investigate whether convergent evolution is a product of adaptation (as is so often assumed) or chance (rendering it less predictable). This phase will quantify the magnitude and frequency of morphological convergence between functionally and structurally homologous traits in different lineages. Then, observed convergence will be compared to converge achieved in simulations of Brownian motion (and biased random walks over biomechanically-derived adaptive landscapes. Finally, NOBLE will determine the impact of integration between traits on 1) the strength of within-trait developmental biases and 2) morphological diversity. This is possible because NOBLE’s model organism, cheilostome bryozoans, have a rich fossil record and a colonial growth form – allowing within-genotype, within-population phenotypic variation to be quantified. The influence of trait integration will be examined at five levels of comparison (from within a single species to across multiple clades). Not only will NOBLE begin untangling the Gordian Knot of evolutionary predictability, it will provide an emerging researcher with an advanced statistical skillset (incorporating phylogenetic and paleontological analyses).

Keywords: macroevolution biomechanics disparity morphology
PROFITABLE LOW HEAD HYROPOWER (Hydrolowhead)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Spain,Spain
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-2-2015, 2015)
Start date: 2015-11-01
End date: 2017-10-31
Duration (months): 24.0
Total project cost (EUR): 1512892.5
EU funding (EUR): 1059024.75
Participants: 2
Project status: CLOSED

Water is one of the basic and essential human needs for almost all economic activities. The water management sector is facing global challenges that require multi-sector solutions. Small hydro energy plays a key role in power generation worldwide, but installing conventional turbines at a micro level is currently not very attractive because of the large initial investment and their low efficiency. Our “regenerative variable speed control system” works at variable speed. The installation time is between 1 and 2 days, reducing civil works by 80%. The pay back for the final clients (Mini-hydroelectric plants, Aquaculture Companies, Wastewater treatment plants) is 4 years. Our overall goal is to improve, integrate, implement and certify our current product. The final product will be capable of generating the maximum amount of electricity with a constant efficiency (75%) and will be further used as demonstrator plant for our customers worldwide. We have already completed the following feasibility actions: technological feasibility, work plan for Phase II and an assessment of the market, business model, risks, IP and created a Business Plan. By 2020, small hydro power (SHP) is forecasted to produce 60 TWh per year in Europe with an installed capacity of 17.3 GW. This represents a potential SHP market of over € 6.35 million. Hence the importance to develop new technologies, to enhance existing plants and to build new ones. At Tecnoturbines and Sendekia, we see this as a challenging market opportunity, where our privileged strategic position will give us a competitive advantage to contribute to the expected growth of SHP and to position the SHP as one of the most profitable forms of energy. Based solely on the product validated in this project, we expect that we can increase our turnover significantly by 2020. This is based on our assumption that we can gain a 0.009% market share of the worldwide SHP by 2017 and to expand to 0.04 % by 2020.

Keywords: small hydropower energy,renewable energy,regenerative variable speed control,business opportunity,game changer,lower manufacturing costs,quicker payback,small hydropower market
Controlling optical nonlinearity with plasmonic metamaterials (NonlinearMeta)

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: Physics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-03-01
End date: 2019-02-28
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Metamaterials are artificial photonic structures that have revolutionised the field of optics by bringing an array of novel optical properties and applications into reality such as negative refraction and invisibility cloaking. However, the control over electromagnetic waves with metamaterials is so far mostly limited to the linear regime. On the other hand, nonlinear optical effects, such as harmonic generations, are very important technically and have been widely employed in various applications such as laser sources, optical information processing, optical communications, quantum technology and integrated photonic circuits. In this project, the applicant in collaboration with the supervisor at the host institution will explore a new class of metamaterials that enable unprecedented control over the nonlinear susceptibilities. The nonlinear susceptibility control is based on a novel mechanism that involves Berry phase in the nonlinear optical regime, which arises from the coupling between the spin of the photons and the orientation of the individual optical antennas. The realisation of such nonlinear metamaterials would enable exact phase matching condition for achieving high conversion efficiency, nonlinear holography for information coding, and gigantic nonlinear circular dichroism with harmonic generations. In addition, this project will incorporate organic polymers into the plasmonic metamaterial design to further enhance the efficiencies of harmonic generations. Upon completion of this project, the applicant is expected to acquire strong background in metamaterials and nonlinear optics and becomes a scientific leader in these growing research areas.

Keywords: nonlinear optics,nano optics,metamaterial
High quality spectral CT using sparse reconstruction methods (SUCCESS)

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: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

The new generations of spectral computed tomography (CT) scanners provide energy-dependent information that could translate into higher contrast and material decomposition capabilities, among other benefits, not only improving conventional CT but opening new possibilities for medical diagnosis. However, fast development of spectral CT technology is not flawless. Narrow energy bins are required to achieve the desired energy resolution, which increases the noise ratio per energy bin. A promising solution is to use sparse CT reconstruction methods (SRM) to improve image quality without increasing radiation dose. To date, several SRMs have been proposed based on simulated or phantom data, but only a few studies have considered preclinical or clinical data. The objective of this proposal is to provide and optimize new algorithms for spectral CT that will be designed and validated on experimental data targeting specific high-impact high-potential applications. To this aim, the project will evaluate previously suggested SRMs and propose new SRMs. In addition, the project will introduce a novel method to validate SRM for spectral CT. On the last stage, the developed SRMs will be validated using experimental data from several spectral CT scanners. This research will contribute to the development of spectral CT, which is foreseen as a new revolution in clinical diagnosis.

Keywords: spectral ct,synchrotron ct,sparse reconstruction methods