Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Multifunctional, adaptive and interactive AI system for Acting in multiple contexts (MAIA)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Spain,Italy,Italy
Call: FET Proactive: emerging paradigms and communities (H2020-EIC-FETPROACT-2019, 2019)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 4013437.5
EU funding (EUR): 4013437.5
Participants: 7
Project status: SIGNED

What if in a near future Artificial Intelligence (AI) becomes human-centric, focusing on human needs and build trustworthiness by mutual understanding? Today, millions of people worldwide suffer from deteriorated motor abilities, due to stroke, brain tumor surgery or accident. This represents a serious society challenge with missing adequate technological response. Patients need assistive devices that are trustworthy, multifunctional, adaptive and interactive, i.e., intelligent, unlike current neuroprosthetics that replace single motor impairments. MAIA proposes a paradigm shift where human-centric AI will control prosthetic and assistive devices. We will investigate and resolve critical steps towards the rapid development of such human-centric control: a radically novel intention decoder, a novel concept for trustworthy human-AI interactions, and a new type of database for acquired information from multiple sources. MAIA AI technology will decode human intentions and communicate the decoded targets to assistive devices and to the users, to ensure compliance and develop trust through natural interaction and mutual learning. The technological outcome will be a multifunctional human-centric AI controller at TRL4 with embedded trustworthy characteristics, suitable to be integrated in robotic arms, wheelchair and exoskeletons. To reach this, MAIA will investigate the principles underlying natural, fast and lean communication and new forms of combinations of neural and behavioural data beyond current data processing. MAIA’s approach will be guided by real needs of end users (patients and caregivers) through their direct involvement in the research program, and by all current knowledge from neuro-, cognitive, and social science research. The application domains of MAIA’s new paradigm span from healthcare to industry, and space exploration. We will also establish a European innovation ecosystem beyond the research labs that will stimulate highly innovative enterprises.

Keywords: brain derived control,prosthetic device,neural networks,decoding intentions,improving patient autonomy,brain injured patients,ai human interaction,ai acceptance,machine learning
Towards a full multi-scale understanding of zero-carbon metal fuel combustion (MetalFuel)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 2492992.5
EU funding (EUR): 2492992.0
Participants: 1
Project status: SIGNED

Energy-on-demand is a cornerstone of modern society. Currently, the primary source of energy is fossil fuel, but in view of undeniable climate warming, an alternative fuel is dearly wanted. Metal powders are a tantalizing, totally carbon-free and recyclable option for such a fuel. Its combustion products are solid metal-oxide particles, which, after capture, can be recycled to metal powders again using green electricity. The technology required to burn metal powder aerosols in a stable and reliable way is, however, still in its infancy. Rapid growth of the technology is unlikely, because fundamental understanding of combustion of dense metal aerosols is largely lacking. Herein lies a virgin field of fundamental research, with huge potential for practical application. Fundamental principles behind metal fuel flames are addressed in this proposal, in a step-wise, combined experimental & theoretical/numerical approach. On single-particle level, I will unravel the influence of mutual interactions. Their consecutive ignition will create combustion wave fronts traveling through metal aerosols. Such planar flame fronts will be created in the lab as well as studied numerically and subsequently used as building block for modeling 3D flames. Finally, Bunsen-type burners will be developed to characterize turbulent, 3D flames. Detailed experiments using microscopy for metal-(oxide) particle composition as well as new optical diagnostic techniques on dedicated, lab-scale metal aerosol burners will serve as benchmarks for validation of models. I have a 30 years track record in theoretical, numerical & experimental combustion research, focusing on fundamental aspects of combustion processes relevant to practical applications. In this project this experience will be the foundation from which to explore a new direction in fundamental combustion research. This METALFUEL project will boost to a new branch of combustion research, with the potential for disruptive applications.

Keywords: metal fuels,carbon free,energy on demand,multi scale modeling,prototype burners,microparticles,heatflux,flamelet generated manifolds
Conserving the Legacy of Evolution into the Future (CLEF)

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: Life Sciences
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2018-03-07
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Conserving the Legacy of Evolution (CLEF) would provide a comprehensive framework for translating biodiversity datasets into conservation plans. We now have a unique opportunity to improve the outlook for biodiversity by taking advantage of the wealth of newly available data on species ranges, functional characteristics, and phylogenetic data. CLEF proposes to: (1) develop sophisticated, yet easy-to-use biodiversity models that improve our understanding of where diversity occurs and better predict how diversity might change in the future, and (2) integrate the output of these biodiversity models with systematic conservation planning. CLEF would advance a new generation of biodiversity modelling that considers multiple species in one step rather than the standard practice of estimating species diversity by aggregating individual models. Early work has suggested these multi-species biodiversity models show great promise for improving present and future biodiversity estimates, but these models have yet to be comprehensively tested. Here, we will build and test these models for plant species in the French Alps, and compare the outputs to existing process-based models at identical scale and resolution. The second phase of CLEF is to develop a tool that directly uses the outputs of these models in conservation prioritization software. This tool will have the option of including phylogenetic, functional data, and future distributions by building on recent developments in this area. CLEF will demonstrate this approach for 2700 plant species to assign conservation priorities for the entire French Alps Region considering functional diversity, evolutionary diversity, climate and land-use change and protected area status. The methods resulting from CLEF could be used for any species-level biodiversity dataset—helping scientists and conservationists better understand, predict, and plan to keep evolution’s legacy intact.

Keywords: conservation biology,species distribution models,phylogenetic diversity,functional diversity,conservation prioritization,climate change
Resolving Morpho-Phonological Alternation: Historical, Neurolinguistic, and Computational Approaches (MOR-PHON)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2022-09-30
Duration (months): 72.0
Total project cost (EUR): 2605261.0
EU funding (EUR): 2605261.0
Participants: 1
Project status: SIGNED

In morpho-phonological alternations the shapes of morphemes differ between morphologically related word forms. In these alternations the morphological environment is also implicated (revére ~ réverence verb [iː] ~ noun [ɛ] and stress differ) unlike alternations which are conditioned only by the phonological environment. The opaque phonological relationship between morphologically related forms has been a long-standing challenge in theoretical, historical, psycho- and neuro-linguistics, and computational linguistics alike. Morpho-phonological alternations of all kinds have been analysed across the languages of the world; but fundamental questions have remained controversial or indeed unasked: ▪ Why do they exist in the first place and why are they so widespread? ▪ How do they come about and what is their diachronic time-course? ▪ How are they represented in mental lexicons and how are they processed? Rather than setting morpho-phonological alternations aside as irregularities of morphology (requiring individual listing and storing), we recognise certain kinds of them (stress shifts, feature changes, deletions, and tonal changes) as something universally to be expected in mental lexicons and as something the brains of speakers and listeners can easily handle. The position that we advocate is that morpho-phonological variants are not listed and stored independently, but rather are mapped onto single abstract representations. This is a controversial position, and its defence requires the systematic study of types of alternations and their histories, and precise hypotheses about the nature of mental representations. What distinguishes our approach is that we combine expertise in (a) theoretical and typological linguistics, (b) brain-imaging methods, and (c) computational modeling to shed light on our questions concerning the existence and cross-linguistic incidence of morpho-phonological alternations, their diachronic profiles, their processing and mental representation.

Keywords: historical linguistics,morphology and phonology,psycholinguistics,neurolinguistics
CityChangerCargoBike (CityChangerCargoBike)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Countries involved: Italy,Germany,Spain,Italy,Spain,Austria,Belgium,Poland,Norway,Belgium,Bulgaria,Greece,Croatia,Poland,Romania,France,Czechia,Netherlands,United Kingdom,United Kingdom,Portugal,Denmark
Call: Increasing the take up and scale-up of innovative solutions to achieve sustainable mobility in urban areas (H2020-MG-2017-Two-Stages, 2017)
Start date: 2018-09-01
End date: 2022-07-31
Duration (months): 47.0
Total project cost (EUR): 3950448.09
EU funding (EUR): 3808645.63
Participants: 24
Project status: CLOSED

The large scale introduction and application of cargo bikes in urban areas has shown to be a game changer for cities: the image of cycling improves; general levels of cycling increase (both for freight and passengers); urban space is used more efficently; air quality, safety levels as well as quality of life improve. However, this innovative solution is present in only a few cities and at best in the starting phase in other European cities. Its full potential has not been achieved in any European city. CityChangerCargoBike (CCCB) aims to change this and increase and accelerate take-up. CCCB will take the very best cargo bike implementation examples, contexts and expertise in Europe and profit and learn from them in order to transfer these on a large scale and in the best way possible to new cities and contexts - in CCCB's forerunner cities, in the follower cities and beyond. CCCB is based on the huge potential of cargo bikes to replace: - 23 - 25% of the commercial deliveries in cities - 50% of the commercial service and maintenance trips - 77% of private logistics trips (shopping, leisure, child transport) Further, cargo bikes bring with them a whole new bicycle culture: new fashonable multi-purpose cargo bike designs, cargo bike shops, new logistics concepts. Stationary cargo bikes can quickly be transformed to mobile street furniture and then even fulfil a place maker function. CCCB has the following objectives: - Raise awareness among the relevant stakeholders: public, private and commercial sector. - Utilise innovative tools for the take-up and scale-up and transfer between forerunner and follower cities: e.g. peer-to-peer exchange. - Establish favourable framework conditions for cargo bike use. - Achieve wide roll-out and transferability through Forerunner cities, Follower cities (within the consortium) and External follower cities. - Reduce congestion, emissions; increase safety; increase public space and improve public space usage.

Keywords: cargo bike,cyclelogistics,public space,sustainable transport
Urban carbon dioxide Flux Monitoring using Eddy Covariance and Earth Observation (diFUME)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

Monitoring CO2 emissions of urban areas has become a necessity for sustainable urban planning and climate change mitigation. The current urban inventories are based on top-down approaches that use fuel and electricity consumption statistics for determining CO2 emissions. Such approaches present consistency issues, neglect the biogenic components of the urban carbon cycle (i.e. vegetation, soil) and have restricted spatial and temporal resolution. The main goal of diFUME is to provide a robust methodology for mapping and monitoring the actual urban CO2 flux at optimum spatial and temporal scales, meaningful for urban design decisions. diFUME will develop, apply and evaluate independent models, capable to estimate all the different components of the urban carbon cycle (i.e. building emissions, traffic emissions, human metabolism, photosynthetic uptake, plant respiration, soil respiration). An innovative interdisciplinary methodology will be introduced, combining two cutting-edge technology tools, the Eddy Covariance (EC) and the latest advances in Earth Observation (EO). EC provides continuous in-situ measurements of CO2 flux at the local scale. Previous EC applications in urban areas have provided valuable insights on the holistic understanding of the urban CO2 flux according to the source/sink distribution in the highly heterogeneous urban environment. EO offers synoptic and continuous monitoring of large areas, capable of enhanced representation of the urban cover, morphology and function. Combined use of EO and EC can provide enhanced interpretation and modelling capabilities to achieve fine scale mapping and monitoring of urban CO2 flux. diFUME methodology will be developed and applied in the case study of Basel, exploiting the unique infrastructure and long-term urban EC measurements. diFUME methodology can be transferable to any city, providing an independent toolbox for consistent urban CO2 emission monitoring, supporting sustainable urban planning strategies.

Keywords: urban climate,micrometeorology,boundary layer meteorology,turbulent fluxes,eddy covariance,carbon dioxide emissions,urban carbon dioxide flux
Near-zero-waste recycling of low-grade sulphidic mining waste for critical-metal, mineral and construction raw-material production in a circular economy (NEMO)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Innovation actions
Countries involved: Germany,Spain,Belgium,Belgium,Finland,Finland,Sweden,Belgium,Romania,Belgium,Finland,France,United Kingdom
Call: Raw materials Innovation actions (H2020-SC5-2017-TwoStage, 2017)
Start date: 2018-05-01
End date: 2022-11-30
Duration (months): 55.0
Total project cost (EUR): 14144709.91
EU funding (EUR): 12407294.63
Participants: 17
Project status: CLOSED

With an estimated volume of 600 Mtonne/yr and a historic stockpile of 28,000 Mtonne, sulphidic mining waste from the production of Cu, Pb, Zn and Ni, represents the largest volume of extractive waste in Europe. When poorly managed, these “tailings” may cause major environmental problems such as acid mine drainage. In 2016 EIP Raw Materials launched a “call to arms” to transform the “extractive-waste problem” into a “resource-recovery opportunity”, as “tailings” still contain valuable & critical metals. Using a “4 PILOTS – 2 case-studies” concept NEMO develops, demonstrates and exploits, therefore, new ways to valorise sulphidic tailings. The 2 cases are the Sotkamo Ni-Cu-Zn-REE/Sc mine in Finland and the Las Cruces Cu-mine in Spain; the 4 PILOTS are located at key points in the near-zero-waste flowsheet, encompassing the recovery of valuable & critical metals, the safe concentration of hazardous elements, the removal of sulphur as sulphate salts, while using the residual mineral fraction in cement, concrete and construction products. NEMO has established an interdisciplinary consortium, including 8 industrial partners (2 mining, 4 engineering, 1 machine manufacturing & 1 construction material company), 4 research institutes, 2 universities and 1 civil society group. NEMO’s near-zero-waste technology will provide the EU with both direct and long-term, indirect advantages. The former range from new resources (e.g. base metals: Cu, Zn, Ni, Pb; critical metals: Sc, Nd, Y, Sb; SCM and aggregates etc.), CO2 savings from metal recovery and the replacement of Ordinary Portland Cement), new job creation (> 150 FTEs), new revenues (> 200 M€/yr) while the latter represent the multiplication of the former benefits (cf. 28,000 Mtonne of these tailings), while eradicating acid-mine drainage and other environmental issues, and ensuring an enhanced dialogue (framework) between industry and civil society, to obtain and maintain the License to Operate mines in EU.

Keywords: secondary ore,bioleaching,alkaline leaching,cementitious materials,metal recovery
Predicting potent drug combinations by exploiting monotherapy resistance (COMBAT-RES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1499991.0
EU funding (EUR): 1499991.0
Participants: 1
Project status: SIGNED

Personalising treatments based on tumour genetic profiles enables cancer precision medicine. However, treating cancers using targeted therapies often fails due to the emergence of drug resistance. Here, my goal is to use drug high-throughput screens (HTS) combined with computational methods to identify resistance and its biomarkers, and to overcome it with smart drug combinations to empower cancer precision medicine. Identifying resistance in HTS is challenging: dissecting meaningful drug responses at high concentrations is impossible due to cytotoxicity, making non-responders and resistant cell lines indistinguishable, thus limiting resistance biomarker discovery to frequently mutated cancer genes. To address this, I will employ three approaches: 1) systematically identify non-responding cell lines carrying low-frequency resistance markers; 2) reveal intrinsic resistance driven by gene expression plasticity by conducting my own RNA sequencing experiments and modelling the maximal effect at high drug concentration; 3) identify drugs which increase cell viability, combined with drugs targeting fast proliferating cells. My paradigm shift, that resistance biomarkers become synergy markers, empowers smart drug combinations. Additionally, I aim to predict drug synergy based on multi-task deep learning using molecular characterisation, QSAR modelling and monotherapies; and, to boost biomarker discovery by identifying clinically-relevant cancer subtypes based on transfer and reinforcement learning. COMBAT-RES will benefit from data access to a phase III clinical trial in colorectal cancer (COREAD) and access to the largest human pancreas adenocarcinoma (PAAD) combination HTS (currently unpublished) accelerating the delivery of medicine for COREAD and PAAD patients. COMBAT-RES will interrogate the underpinnings of drug resistance, clinically-relevant subtypes and overcome it with highly synergistic drug combinations, enabling the next generation of precision medicine.

Keywords: computational pharmacogenomics,bioinformatics,drug high throughput screens,cancer cell lines,drug resistance,drug combinations,synergy,cancer