Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Probabilistic Automated Numerical Analysis in Machine learning and Artificial intelligence (PANAMA)

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: Germany,Germany
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-03-01
End date: 2023-02-28
Duration (months): 60.0
Total project cost (EUR): 1450000.0
EU funding (EUR): 1396663.3
Participants: 2
Project status: CLOSED

Numerical tasks - integration, linear algebra, optimization, the solution of differential equations - form the computational basis of machine intelligence. Currently, human designers pick methods for these tasks from toolboxes. The generic algorithms assembled in such collections tend to be inefficient on any specific task, and can be unsafe when used incorrectly on problems they were not designed for. Research in numerical methods thus carries carries the potential for groundbreaking advancements in the performance and quality of AI. Project PANAMA will develop a framework within which numerical methods can be constructed in an increasingly automated fashion; and within which numerical methods can assess their own suitability, and adapt both model and computations to the task, at runtime. The key tenet is that numerical methods, since they perform tractable computations to estimate a latent quantity, can themselves be interpreted explicitly as active inference agents; thus concepts from machine learning can be translated to the numerical domain. Groundwork for this paradigm - probabilistic numerics - has recently been developed into a rigorous mathematical framework by the PI and others. The proposed research will simultaneously deliver new general theory for the computations of learning machines, and concrete new algorithms for core areas of machine learning. In doing so, Project PANAMA will improve the efficiency and safety of artificial intelligence, addressing scientific, technological and societal challenges affecting Europeans today.

Keywords: computational statistics
Service Oriented Grid for the Network of the Future (SOGNO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Germany,Ireland,Italy,Estonia,Ireland,Germany,Ireland,Germany,Romania,Netherlands
Call: Next generation innovative technologies enabling smart grids, storage and energy system integration with increasing share of renewables: distribution network (H2020-LCE-2017-SGS, 2017)
Start date: 2018-01-01
End date: 2020-06-30
Duration (months): 30.0
Total project cost (EUR): 3999945.0
EU funding (EUR): 3999945.0
Participants: 13
Project status: CLOSED

The energy systems of 2025 will be based on increasing levels of RES penetration and DSO’s will need new insight into how their networks are performing to optimise their operations financially. At the same time, the 5G mobile networks will be deployed by 2025 offering low latency, high availability services enabling data driven control. The evolution of the energy sector is increasingly focused on energy as a service. What DSOs now need is to accelerate their ability to introduce innovations, such as those based on the sharing economy, by themselves using services increasing their flexibility to adapt and reducing their need for fixed investments. SOGNO will address this challenge by combining the application of deep intelligence techniques, industry grade data analysis and visualisation tools, advanced sensors, an advanced power measurement unit and 5G based ICT to provide fine grained visibility and control of both MV and LV power networks using end to end automation in a virtualised environment. Our results are provided as turnkey services, validated in DSO field trials (to TRL level 6) preparing them for market introduction beginning shortly after the project ends. An Open API will be provided to enable third parties to market their services in our eco-system creating further market growth. Regulatory and standards changes needed to enable the deployment of advanced techniques will be prepared by the project. Ethical business models will support the market introduction of turnkey services. Commercialisation of the project results, as energy services, will result in disruptive change in the DSO energy market enabling breakthroughs in the speed and cost effectiveness of DSO large scale roll out of automation and growth in the energy services market in Europe and beyond. The SOGNO vision will unlock a new service-oriented market making Europe’s energy sector the most advanced and open in the world.

Keywords: automation as a service,deep learning,virtualisation,dso control room,self healing systems
A touchless microcomponent gripper for precision handling and microassembly (Touchless Automation)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-04-01
End date: 2018-08-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Touchless Automation is a contactless solution to handle microcomponents of any shape & material. It addresses the acute problem of microcomponents frequently getting damaged, contaminated, and as a result, discarded during the precision assembly processes. Our novel microgripper combines ultrasound & vacuum to make the microcomponents levitate underneath it at the distance of <50 µm. It is the smallest solution of this kind on the market. We are targeting semiconductor manufacturing equipment & watchmaking industries for commercialization of Touchless Automation (with total addressable markets of €91.8m+ & €33.6m+ respectively). In 2017 we have generated strong market interest from other markets as well—pharmaceuticals, optoelectronics, metrology & others. In semiconductor equipment manufacturers & watchmakers, we have already defined technological feasibility studies with our prospects (Rolex, Ciposa, Comadur) to validate characteristics of the microgripper. In the implemented studies we have seen a 18-24% reduction in microparts damage & contamination. Finally, our partner Sabato Microtec—one of the leading global high-precision micromechanics manufacturers—will back us up with expertise, a wide network of contacts & equipment to develop & scale. In Oct 2017 we have received a PCT report that confirmed innovation over prior art, which removed the final obstacle (from a competitive patent) and gave us freedom to operate and to commercialize Touchless Automation. With Touchless Automation we are conservatively estimating €15m+ revenues by 2021 & €26m+ by 2023. In this Phase 1 project we will produce detailed market analysis for key & adjacent market segments, validate price ranges, determine sources of additional revenue streams & define a strong IP protection strategy.

Keywords: contactless,gripper,microcomponent,ultrasound,vacuum,precision manufacturing
Conservation palaeobiology of terrestrial and marine carbon sinks (PALAEOCON)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2022-08-31
Duration (months): 36.0
Total project cost (EUR): 241398.72
EU funding (EUR): 241398.72
Participants: 1
Project status: CLOSED

Carbon sink conservation is a priority under the current Global Change scenario. However, our understanding of the factors that threaten natural carbon-storage systems is limited by the paucity of long-term records capturing their responses to anthropogenic- and climate-driven perturbations. Much of this limitation arises from the short time span covered by ecological monitoring, usually going back just a few decades at best. To capture decadal-to-millennial scale dynamics, an alternative approach is to use the palaeoecological record. Here, I propose a multiproxy palaeoecological approach to study the long-term resilience of two paradigmatic terrestrial and marine carbon sinks: peatlands and seagrass meadows. I will monitor changes in biodiversity and carbon storage ability using a state-of-the-art, multidisciplinary combination of palynology and charcoal analysis, dating by lead and carbon isotopes, sedimentology, geochemistry and numerical methods. Integrating these complementary proxies, I will reconstruct millennial-long ecological dynamics (e.g. long-term trends and regime shifts) to evaluate the effect of human and climate impacts on carbon sinks’ ecosystem services. This knowledge will inform conservation priorities by identifying the most influential drivers of ecological change. Moreover, it will propose conservation targets by reconstructing pre-anthropogenic ecosystem states. To increase its translatable impact, PALAEOCON will focus on Iberian habitats that are protected under the Habitats Directive of the European Commission. Indeed, I am committed to engaging with environmental authorities to complement current conservation strategies. On a broader scale, PALAEOCON will produce high-resolution, multiproxy records on the Holocene palaeoenvironmental history of southwestern Europe. By offering valuable insight to both applied and basic science, PALAEOCON will help advance my career aspiration of establishing as a world-class leader in palaeoecology.

Keywords: peatlands,seagrass meadows,multiproxy approach,palynology,charcoal analysis,geochemistry,sedimentology,anthropogenic impact,holocene
Neural basis of semantic control (NBSC)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-02-01
End date: 2018-01-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Every form of semantically-driven human behavior is supported by semantic ‘control’, which refers to executive processes that regulate access to semantic knowledge. To understand everyday verbal and nonverbal activities (e.g., speaking, object use), as well as impairments after brain damage, it is crucial to establish how semantic control is implemented in the brain. In general terms, semantic control is known to be supported by a network of frontal-parietal-temporal brain areas. However, the exact contribution of each area to semantic control and whether each is specific to semantic control or part of a general cognitive control function, remain to be determined. Besides advancing basic science these questions are clinically important as different parts of the network can be affected by brain damage. The goal of this project is to answer these questions by carrying out two fMRI investigations and one TMS study, on the very same participants. This novel combined multimethod approach ensures that this project will provide convergent evidence on these key issues. To find specializations related to different types of semantic control, we will first run an fMRI study with a semantic association task comparing two different conditions that differ only for the type of semantic control processes required. To explore the extent to which these functional specializations are dedicated to semantic control, we will run a second fMRI study with a non-semantic association task and we will compare control effects across semantic and non-semantic tasks. To test whether the brain areas revealed by fMRI have a necessary role for different types of semantic control, we will run a TMS study during a semantic association task. Thus, additional innovative aspects of this project reside in measuring neural priming disruption effects with fMRI and in using online single-pulse TMS, to allow more precise evaluation of the contribution of each area and its time-course in semantic control.

Keywords: semantic control,fmri
Develop, design and evaluate a sustainable marine litter-to-methanol process (CCLEANER)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-12-02
End date: 2023-12-01
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Plastic pollution in the oceans is a growing worldwide problem. It endangers marine life, pollutes ecosystems and contributes to health problems for us. According to European Parliamentary Research Service, an estimated 4.8 to 12.7 million tonnes of plastic enter the oceans every year, and the associated cost is between €259 million and €695 million. The project aims to develop a integrate system to convert marine litter to methanol by hydrothermal carbonisation, gasification and syngas-to-methanol process. The key questions will be answered in the project are: 1) develop a hydrothermal carbonisation process which can use seawater as the reaction medium; 2) develop a gasification process which can safely handle hydrochar with high nitrogen and high chlorine content; and 3) the economic feasibility, sustainability and social impact of such marine litter-to-methanol process. The success of the project will lead to scientific and technological advances in marine waste management and a potential opportunity to build a demonstration system. The Fellow is a well-trained researcher in the area of thermal conversion of biomass and other solid waste. The Fellow has extensive industrial experience of C1 chemical and derivate products high-value process for three years. The proposed project is an excellent opportunity for the candidate to bring his industrial experience back to university and restart his independent research career.

Keywords: marine litter,pretreatment,methnaol
The role of sleep in synaptic plasticity (SleepSynapses)

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: Belgium
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-02-01
End date: 2024-01-31
Duration (months): 72.0
Total project cost (EUR): 1706250.0
EU funding (EUR): 1706250.0
Participants: 1
Project status: SIGNED

Although we spend a third of our lives sleeping, the function of sleep remains mysterious. Studies considering neural networks, brain regions and behavior suggest the intriguing hypothesis that sleep is important for synaptic plasticity. However, as prior studies have conducted analyses using broad brain regions or circuit networks, the precise role of sleep in synaptic plasticity remains intensely debated. Progress in this area is hindered by the lack of a genetically-tractable system of sleep-dependent synaptic plasticity. To solve this, I developed a unique fruit fly model. It is the first model of its kind in which the cellular players comprising the synapses can be genetically labelled and manipulated. I will use this model to address a long-running controversy in the field--which form(s) of synaptic plasticity is promoted by sleep--by directly monitoring the effects of sleep on precisely identified synapses at electrophysiological and ultrastructural levels. Then, I will investigate the mechanisms underlying this process by analyzing the effects of sleep on every cellular component (pre and postsynaptic neurons and perisynaptic astrocytes) in this model at molecular and cellular levels. Emerging data suggest that astrocytes play a key role in synaptic plasticity and have further implicated these cells in regulating sleep. However, it has been difficult to directly examine the role of astrocytes in sleep-dependent synaptic plasticity, since no methodology currently exists for reproducibly manipulating local astrocytes enveloping the synapse of interest. For this, I will implement a unique tool, named G-CLAMP, and use it to assess potential glial mechanisms underlying sleep-dependent plasticity. Considered as a whole, my project will produce unique and comprehensive understanding of the role of sleep in synaptic plasticity, an essential question if we aim to understand sleep, and move us towards explaining the evolutionarily origins of this mysterious behavior.
Improving nutrition in Africa by strengthening the diversity, sustainability, resilience and connectivity of food systems (HealthyFoodAfrica)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive agri-food sector for a safe and healthy diet
Action type: Research and Innovation actions
Countries involved: Italy,Ethiopia,Uganda,Italy,Finland,Zambia,Norway,France,Netherlands,Netherlands,Ghana,Benin,Portugal,Kenya
Call: Food Systems Africa (H2020-SFS-2019-2, 2019)
Start date: 2020-06-01
End date: 2024-11-30
Duration (months): 54.0
Total project cost (EUR): 6917551.25
EU funding (EUR): 6917551.25
Participants: 19
Project status: SIGNED

Improving access to safe, nutritious food across Africa in a socioeconomically and environmentally sustainable and resilient manner is a major systemic challenge. In order to overcome the diverse challenges facing African agri-food systems, exacerbated by climate change and rapid population growth, it is essential to simultaneously raise consumer awareness about healthy nutrition, whilst enhancing the capacity of producers and food chain actors to deliver diverse, nutritious, high quality, affordable foodstuffs. The approach used in HealthyFoodAfrica is founded on five pillars: a) ten localised, context-specific Food System Labs for experimentation and innovation in regions with diverse production systems and challenges (Ghana, Benin, Ethiopia, Uganda, Kenya & Zambia); b) five thematic work packages for holistically addressing food system challenges (nutrition & consumption; sustainable production; postharvest; food safety; value chain governance; novel products & processes); c) interdisciplinary, multi-actor, adaptive co-management, engaging farmers (incl. smallholders, aquafarmers, SMEs, women & youth), food processors/packagers, retailers (incl. street vendors), consumers, NGOs, scientists, decision-/policymakers; d) the use of a Theory of Change framework for transformational impact; e) dedicated dissemination, capacity building and exploitation activities for wider and lasting impacts. HealthyFoodAfrica will innovate and test technologies, practices and governance arrangements, contributing to: - More sustainable, resilient and healthy food systems for all; - Significant reduction of malnutrition (particularly children within the first 1,000 days of life); - Empowerment of producers; - SME growth; - Market opportunities (internal/export); - Reduced wastage; - Crisis situation food strategies; - 11 UN SDGs; - Partnership on FNSSA; and - Piloting of innovations with technological or societal readiness levels or general maturity levels up to TRL/SRL/GML 7.

Keywords: food system,climate change mitigation,value chain,aquaculture,post harvest technology,multi actor approach,livelihoods,smallholder,gender,living lab,east africa,west africa,south africa
Proactive system to forecast and reduce environmental footprint while maximising agriculture performance (Ceres)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

To ensure enough food production and limit its environmental impact, EU invests half of its total budget in the Common Agricultural Policy (CAP). Yet, farmers struggle to comply with legislation and implement sustainable and cost-efficient production models and seek advice from technical experts. Technicians must therefore monitor the farms and analyse complex systems, which is time-consuming and challenging. Software Precision farming has recently emerged as a tool which enables to monitor, analyse and optimise agricultural production and perfectly fits with technician needs. Nowadays, however, farm management options target producers offering a service to substitute technicians. This strategy obviates that technicians are high skilled professionals conscious of both the forthcoming agricultural endeavours and the potential of management software to tackle them. Thus, it is through them that eventually producers would get involved in precision farming. Through Ceres we aim at developing a software precision farming management tool designed for technicians which integrates a sustainability dimension to tackle agricultural challenges. Ceres is a software designed specifically for technicians to manage several farms and a wide range of factors influencing the supply chain. Ceres is a software designed specifically for technicians to manage all the factors involved in managing several farms, reducing expenditure in fertilization (up to 70%), water consumption (up to 30%) and phytosanitary products (30%) as well as delivering sustainability indexes, traceability and prediction tools. It will enable technicians to save up to 40% of their own time investment, being able to lower their cost services up to 35% and reach new clients (use of Ceres could reduce CAP expenses in 40%). eFoodPrint’s broad experience in the agro-food software enabled us to satisfied producers’ demands and raised their competitiveness. We forecasted a R.O.I of 5.5 with a pay-back period of 40 month

Keywords: precision farming,software,crop technician