Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ARTIFICIAL INTELLIGENCE ENHANCEMENT OF SURGICAL TECHNOLOGY FOR THE REDUCTION OF HUMAN BEHAVIOUR-RELATED SURGICAL ACCIDENTS (BESAFE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: Spain,Spain
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-03, 2018)
Start date: 2019-05-01
End date: 2020-04-30
Duration (months): 12.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 2
Project status: CLOSED

BESAFE seeks to support the exploitation of the results from the IBSEN FET project and capture a market opportunity as well as address a poignant societal need, the reduction of intra-operative accidents and surgery costs by means of clinical decision support software. IBSEN has led to the development of a general-purpose novel artificial intelligence tool based on unsupervised machine learning algorithms. The software learns from the behaviour of individuals and their outcomes. It can be adapted for automated early detection and correction of high-risk actions by members of surgical teams. The coordinator of the BESAFE consortium, Afferent Technologies, has expertise in prevention of accidental surgical nerve-damage, a costly and dramatic event, by means of electrophysiological technology. The BESAFE software, endowed with artificial intelligence from the ISEB project, has the potential for a quantum leap in the market. The key deliverables of BESAFE are a) the business plan, with detailed financials and market analysis, as well as an estimate of remaining technical milestones, as required to progress from the IBSEN deliverables to the final certifiable software, b) a demonstration of the use of the Artificial Intelligence IBSEN algorithms to recognise patterns of behaviour (high risk vs low risk) by analysis of machine-user interaction patterns. The final aim of BESAFE is to produce a well-studied investable opportunity for Venture Capital coinciding with an increased interest of these stakeholders in the Artificial Intelligence and Medical Technology spaces.

Keywords: medtech,behavioural sciences,safety,surgery
Improving the accuracy and reliability of electronic structure calculations: New exchange-correlation functionals from a rigorous expansion at infinite coupling strength (corr-DFT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-08-01
End date: 2020-07-31
Duration (months): 60.0
Total project cost (EUR): 1999891.25
EU funding (EUR): 1999891.25
Participants: 1
Project status: CLOSED

By virtue of its computational efficiency, Kohn-Sham (KS) density functional theory (DFT) is the method of choice for the electronic structure calculations in computational chemistry and solid-state physics. Despite its enormous successes, KS DFT’s predictive power and overall usefulness are still hampered by inadequate approximations for near-degenerate and strongly-correlated systems. Crucial examples are transition metal complexes (key for catalysis), stretched chemical bonds (key to predict chemical reactions), technologically advanced functional materials, and manmade nanostructures. I aim to address these fundamental issues, by constructing a novel framework for electronic structure calculations at all correlation regimes. This new approach is based on recent formal developments from my group, which reproduce key features of strong correlation within KS DFT, without any artificial symmetry breaking. My results on the exact infinite-coupling-strength expansion of KS DFT will be used to endow that theory with many-body properties from the ground up, thereby removing its intrinsic bias for weak correlation regimes. This requires novel combinations of ideas from three research communities: chemists and physicists that develop approximations for KS DFT, condensed matter physicists that work on strongly-correlated systems using lattice hamiltonians, and mathematicians working on mass transportation theory. The strong-correlation limit of DFT enables these links by defining a natural framework for extending lattice-based results to the real space continuum. On the other hand, this limit has a mathematical structure formally equivalent to the optimal transport problem of mathematics, enabling adaptation of methods and algorithms. The new approximations will be implemented with the assistance of an industrial partner and validated on representative benchmark chemical and physical systems.

Keywords: density functional theory,electronic correlations,exchange correlation functionals,mass transportation theory,optimal transport
Advancing Rechargeable-Batteries Through In Situ Techniques (ARTIST)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United States,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-07-01
End date: 2017-12-31
Duration (months): 30.0
Total project cost (EUR): 211825.2
EU funding (EUR): 211825.2
Participants: 2
Project status: CLOSED

Li-ion batteries (LIBs) have enabled the portable device revolution of the last two decades, and have undoubtedly had a dramatic societal impact, with rechargeable electronic devices now ubiquitous. The light Li-containing electrodes, and high working cell voltages (typically >3.5 V) make LIBs the most practical solution for many portable applications. However, when significantly larger storage capacity is demanded, such as in transportation or grid-based energy storage, the limited availability, and consequently elevated cost, of Li becomes prohibitive. This research project will investigate alternative battery technologies that use more earth-abundant ions for charge transport, namely Mg, to enable the next generation of energy storage devices. The atomic-scale mechanisms of Mg-ion insertion/extraction at electrode-electrolyte interfaces and how these interfaces evolve during charging/discharging will be investigated. Complementary in situ techniques will be used to investigate the evolution of electrode structure and chemical state using carefully designed model electrodes. The study of scaled-up electrodes integrated into complete batteries will extend this understanding to more realistic battery cycling conditions. This will provide important insights to help overcome the limitations of the materials currently used in Mg-ion batteries (MIBs). The ground-breaking nature of this proposal lies in the level of fundamental understanding we aspire to achieve based on in situ metrology. We thereby envision the rational design and optimisation of the next generation of rechargeable batteries, guided by more than just the existing empirical approach.

Keywords: magnesium ion battery,in situ,electrode electrolyte interface,ion insertion
Rapid production of HUMAN MAST CELLS (MASTFAST)

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: United Kingdom
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2017-12-01
End date: 2019-05-31
Duration (months): 18.0
Total project cost (EUR): 148914.0
EU funding (EUR): 148914.0
Participants: 1
Project status: CLOSED

Mast cells are involved in the allergic response, anaphylaxsis, wound healing and angiogenesis. When activated via IgE, damage/pathogen-induced molecules or complement components, the granules of mast cells release proteases. Dysregulation of mast cells is implicated in allergies of the skin and airways, autism, chronic fatigue syndrome, pain, mastocytoma and intestinal dysmotility. Strategies to limit the damaging effects of mast calls are needed. However, the development of novel treatments is hampered by the inability to grow mast cells rapidly and efficiently in culture. Bone marrow cell cultures typically take 12 weeks before mast cells are available for study. Even then, there are too few cells to use for drug discovery or patient-specific treatment strategies. Embryonic stem cells (ESC) represent an alternative method for the production of mast cells. An unexpected ground-breaking discovery from our ERC AdG 341096 studies aiming to produce hematopoietic stem cells, was the development of a novel method that instead produces large numbers of mast cells in a short time. Mouse ESC engineered with a unique reporter gene that allows for cell enrichment during a multi-step culture yields a homogenous population of phenotypic and functional connective tissue and mucosal mast cells. Within only 3 weeks large numbers of mast cells are generated. To translate this method for large scale rapid production of human mast cells we will 1) characterize unique human reporter ESCs made by Crispr/CAS9 state-of-the-art method; 2) optimize human mast cell production from reporter hESCs in a multi-step differentiation culture; 3) characterize/validate the function of hESC-derived mast cells (normal and mutant); 4) interact with industry to use hESC-derived mast cells for drug-discovery and studies of mast cell differentiation and dysfunction. Long-term goals include the development of mast cell treatment strategies for personalized medicine.

Keywords: mast cells,differentiation,expansion,drug discovery,allergy,asthma,mastocytosis,inflammation,stem cells
A knowledge-based training network for digitalisation of photosynthetic bioprocesses (DigitAlgaesation)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Germany,Spain,Italy,Italy,Belgium,France,France,Netherlands,Denmark,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-03-01
End date: 2025-02-28
Duration (months): 48.0
Total project cost (EUR): 4043982.24
EU funding (EUR): 4043982.24
Participants: 13
Project status: SIGNED

Microalgae and other photosynthetic microorganisms represent a highly promising source for food, feed, chemicals, and fuels. Europe has been leading world research and industrial deployment of microalgae based technologies. However, despite the enormous potential and the impressive R&D effort, industrial use of microalgae is still at its first developmental stage. A major step forward can derive by the development and implementation of digital technologies, capable of automatizing and optimising culture conditions at industrial scale. Europe has a tradition of leading researches in the field of automatic control for biotechnological processes. As envisaged by DigitAlgaesation, the widespread definition and adoption of effective tools for better design and operation urgently requires skilled multidisciplinary scientists and engineers, who can develop and implement the next generation of sustainable production process with enhanced productivity, reduced environmental impact and costs, despite climate fluctuations that may strongly affect microalgae productivity. All this demands a European commitment to concerted, inter- and transdisciplinary research and innovation. DigitAlgaesation will train 15 early-stage researchers (ESRs) in all aspects of microalgae technological innovation to pave the way towards a knowledge-based breakthrough in monitoring methods and instrumentation, biological modelling and simulation, and automatic control. By training in scientific, technical and soft skills, they will become highly sought-after scientists and engineers for the rapidly emerging microalgae-based industry and broader bioprocessing industries of Europe.

Keywords: microalgae,photosynthesis,digitalization,design of experiments,monitoring,optimization
Development of novel fluorinated reagents for preparation of drugs. (FLUNOVELTY)

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: Chemistry
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-01
End date: 2016-10-31
Duration (months): 12.0
Total project cost (EUR): 92538.0
EU funding (EUR): 92538.0
Participants: 1
Project status: CLOSED

Around 20% of all modern drugs are fluorinated organic molecules. During the recent years, however, pharmaceutical companies struggle to deliver novel drugs to the market, because of the lack of innovative practical reagents and reactions towards “drug-like” compounds. In this project, we will address this issue by discovering novel small fluorinating reagents - fluorinated diazoalkanes, - elaborate their practical reactions, and use this knowledge to develop alternative synthetic approaches to some known drugs (AS-136A, Celecoxib).

Keywords: fluorine,novel reactions,novel reagents,trifluoromethyl,drug discovery
Assessment of ecocorona acquired by Graphene Family Nanomaterials during exposure to biofilms and fate following uptake (ToxEcoGraphene)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-05-01
End date: 2020-04-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Mass production of graphene and its derivatives (Graphene Family nanomaterials, GFN) is driven by their integration in an increasing number of (consumer) products: by 2020 the global market for graphene is projected to reach US$125 million. Given the serious concerns raised over the potential impact of GFNs on the environment, and in order for graphene-related nanotechnology to develop in a sustainable and responsible manner possible, it is crucial to ensure that development of GFN takes place alongside research focused on its consequences for public health and potential environmental impacts and unanticipated consequences due to the production, use, recycling, and disposal of GFN. Essential information related to the health and environmental impacts of GFN is either missing or remains incomplete. Specifically, to perform the appropriate nano-risk assessment, there is an urgent need to adapt the environmental risk as¬sessment principles and methodology related to the exposure as well as the hazard assessment. ToxEcoGraphene will address the pressing need to identify the environmental processes that will determine the fate of GFN in the environment, as well as their nanoecotoxicity impacts. The research objectives (RO) of ToxEcoGraphene are: (1) To develop, characterize and utilize well-defined GFN-oriented protocols and methods to facilitate investigation of GFN fate and transport in natural complex media, (2) To determine the effect and evaluate GFN toxicity to biofilms, by focusing on environmental fate processes, mainly on hetero-aggregation and growth of the “eco-corona” on graphene’s surface, and (3) To implement the main research conclusions in order to mitigate identified risks/environmental impact and design-out potential drawbacks/hazards related to GFN technology and applications – i.e., safe-by-design rules for GFN tailored to a range of application areas. Given the economic importance, the relevance of the research is clear.

Keywords: nanomaterials,graphene,nanotoxicology,biofilms,risk assessment,lifecycle analysis
UNMANNED TRAFFIC MANAGEMENT 4D PATH PLANNING TECHNOLOGIES FOR DRONE SWARM TO ENHANCE SAFETY AND SECURITY IN TRANSPORT (LABYRINTH)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Austria,Germany,Belgium
Call: Innovative applications of drones for ensuring safety in transport (H2020-MG-2019-TwoStages, 2019)
Start date: 2020-06-01
End date: 2023-05-31
Duration (months): 36.0
Total project cost (EUR): 5291805.0
EU funding (EUR): 4957076.25
Participants: 13
Project status: SIGNED

Ensuring transport safety and security is one of the EU’s main priorities, as spotlighted in WHITE PAPER–Roadmap to a Single European Transport Area, which sets out a strategy leading to reach a safer, more efficient and more sustainable civil road, rail, air and waterborne transport. Drone applications are considered as potentially capable of revolutionizing the world around us. Nevertheless, security issues make impossible to fly drones in most situations, due to drone guidance and control-related technologies have not reached enough readiness level to guarantee safe operations in most of low altitude scenarios. To face these issues, SESAR has created U-SPACE, a new framework designed to integrate safely, securely and efficiently drone operations at low level into EU airspace. Active geofencing is one of the main drone emerging technologies outlined in the U-Space Blueprint. However, although geofencing is a useful technology to avoid drones presence in restricted places, it is not prepared to face the future proliferation of drones in areas such as cities, where drone swarm applications will lead to an increasing risk of collisions. LABYRINTH has identified the need to research on centralized planification systems capable of communicating with the drones in a certain area, processing their desired origin and destination points and compute paths to avoid collisions. This is embodied in the Unmanned Traffic Management Systems (UTM) that, in contrast to EU strategy, are one of the NASA’s main research priorities, whose objective is to create flight control centres for auto-piloted drones. Aligned with this, LABYRINTH aims to use this new approach to create a U-SPACE-based technology to make a leap forward in the efforts undertaken so far through the development of autonomous drone applications, focussing on solutions adressed to enhace safety and efficiency of civil trasnport in road, seaport and airport scenarios, including emergency assistance operations.

Keywords: 4d path plannig,u space,uas transport management,fast marching square algorithms
Sharing-economy matching platform to revolutionize last-mile logistics (SWIFTLY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The rapid growth in e-commerce is changing the consumer behavior, increasing the logistic burden in last-mile delivery. From this fact are arisen two mayor problems. For one side, our logistic infrastructure will never be ready for the number of delivery-vehicles required to fulfill such demand. From the other, last-mile delivery entails the ≈53% of the transport costs, a figure that most of the SME cannot assume. Hence, an oligopolistic horizon of large companies like Amazon will come unless smart solutions will avoid it. Nimber is a decentralized delivery-company that is disrupting logistics in Norway. Our vision is to become the global leaders in the last-mile delivery sector by providing the market with a sustainable, efficient, CO2 minimal and convenient alternative to last-mile delivery for SME and individuals. In this regard,Nimber platform presently matches persons needing items delivered with the most optimal delivery solution: people going that way anyway. Thus, we operate for peer-to-peer deliveries (P2P). With SWIFTLY, we seek to hybridize our peer-to-peer model into the business-to-customer (B2C) or business-to-business (B2B) sectors. For such aim, we will offer two novel tools: a bundling algorithm which optimizes loads and deliveries per route to increase the profitability of the professional bringers' services and a pricing algorithm to offer the fairest pricing for both parties (bringer and sender) and speed up the time to close a deal. With this approach we solve the problems of rapidly-growing e-commerce by optimizing existing commuter pathways to deliver goods.

Keywords: last mile delivery,traffic congestion,logistics,sharing schemes
Real-time on-line mineralogical analysis for the process optimization and more sustainable mining (MINERAL EYE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Finland
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-1-2014, 2014)
Start date: 2015-06-01
End date: 2015-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Mineral and metal resources are the foundation for our lives and lifestyles, and mining is still the primary method of their extraction. The sustainability in mining industry can be increased only through more intelligent, efficient and optimized processes that use reduced amount of energy, water and chemicals, and cause reduced amount of waste during different mining stages. Material flows in mining sector are huge. Globally, it is produced 5 billion tons of ore and 10 billion tons of side rock every year. About 70-80 % of mine energy consumption is used for transport, crushing and grinding – 2/3 of that in vain for side rock transportation, crushing and grinding. Even a small improvement in mining selectivity can achieve significant reduction to energy and water use and prevent waste formation. Raw minerals’ chemical and mineralogical compositions vary significantly. This is one of the main challenges for the optimized mining processes since the composition of the raw materials is very unpredictable. By better, real time mineralogical determination, the mining can be done more selectively, reducing amount of transported and ground side rock and reducing the energy need in the same ratio. Also, the chemical and consumable consumption is decreased. This proposal suggests more detailed feasibility study, development activities, demonstration, piloting, commercialization and product launch for the robust, real time mineralogical analysis device based on Timegated® Raman technology. The suggested new product can provide the essential mineralogical information during mining processes from the drilling phase to the end product quality. The obtained mineralogical information during drilling process helps mining companies to avoid the transportation of ground side rocks and therefore enhance the substantial reduction to the energy consumption of transportation, crushing and grinding stages, and consequently also to reduce the CO2 emissions of the industry.

Keywords: process monitoring,raman spectroscopy