Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance (ULTRACEPT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Germany,Argentina,Germany,Germany,China,Malaysia,United Kingdom,United Kingdom,Japan,United Kingdom,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-12-01
End date: 2024-09-30
Duration (months): 70.0
Total project cost (EUR): 2191500.0
EU funding (EUR): 1894500.0
Participants: 19
Project status: SIGNED

Autonomous vehicles, although in its early stage, have demonstrated huge potential in shaping future life styles to many of us. However, to be accepted by ordinary users, autonomous vehicles have a critical issue to solve – this is trustworthy collision detection. No one likes an autonomous car that is doomed to a collision accident once every few years or months. In the real world, collision does happen at every second - more than 1.3 million people are killed by road accidents every single year. The current approaches for vehicle collision detection such as vehicle to vehicle communication, radar, laser based Lidar and GPS are far from acceptable in terms of reliability, cost, energy consumption and size. For example, radar is too sensitive to metallic material, Lidar is too expensive and it does not work well on absorbing/reflective surfaces, GPS based methods are difficult in cities with high buildings, vehicle to vehicle communication cannot detect pedestrians or any objects unconnected, segmentation based vision methods are too computing power thirsty to be miniaturized, and normal vision sensors cannot cope with fog, rain and dim environment at night. To save people’s lives and to make autonomous vehicles safer to serve human society, a new type of trustworthy, robust, low cost, and low energy consumption vehicle collision detection and avoidance systems are badly needed. This consortium proposes an innovative solution with brain-inspired multiple layered and multiple modalities information processing for trustworthy vehicle collision detection. It takes the advantages of low cost spatial-temporal and parallel computing capacity of bio-inspired visual neural systems and multiple modalities data inputs in extracting potential collision cues at complex weather and lighting conditions.

Keywords: vehicle collision detection,safety,vision,multiple modality,insects visual pathway,motion sensitive neurons,looming sensitive neurons,thermal image,vlsi,neural system models,simulation
The water recycling bio toilets (RecycLoo)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

WeCo offers an ingenious and innovative waste-water treatment system that enables a closed loop flush for toilets. This solution will answer the needs of potential customers having no water or no sewer connection, or willing to limit their water consumption. As such, this provides a new solution for outdoor public toilets (for municipalities, theme park operators…), for mobile toilets (for construction sites, events…), for indoor toilets in non-sewered new or renovated buildings, and for train toilets. WeCo has clear assets to enter this broad potential market, with a scalable solution that is the only one fostering user acceptance. Besides, WeCo partnership strategy ensures its access to the targeted market. WeCo has thus initiated key collaborations with Alstom (access to train market) and another major listed French company of mobile toilets market for construction sites. WeCo expects to become a leader of the European market by 2023, with an annual turnover of € 11,9M representing a 20% share of the serviceable addressable market. This growth will be followed by a global extension toward Asia and Africa, where the WeCo solution will definitely have a humanitarian dimension. The SME-Instrument Phase 1 grant will finance the feasibility study of the WeCo system, in particular for the indoor toilets and the mobile toilets segments.

Keywords: toilets,public toilets,trains,electrochemistry,social issues,innovation of use
Developing early-warning systems for improved microalgae PROduction and anaerobic DIGestIOn (PRODIGIO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Spain,Taiwan, Province of China,Norway,France
Call: Developing the next generation of renewable energy technologies (H2020-LC-SC3-2020-RES-RIA, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 2452941.25
EU funding (EUR): 2452941.25
Participants: 9
Project status: SIGNED

Process monitoring is a crucial task for bioprocess optimization and will play a decisive role in the digitization of future bio-based production systems. System failure prediction technologies must be an integral part of monitoring schemes; however, these technologies are underdeveloped as far as the bioenergy industry is concerned. The objective of PRODIGIO is to establish a base of knowledge for the development of system failure prediction technologies that increase the performance of microalgae production and anaerobic digestion systems and advance towards more favourable techno-economic, environmental and social performance to achieve more sustainable microalgae biogas. By combining perturbation experiments in bioreactor systems and cutting-edge methods for big data analysis, PRODIGIO will decode the triggers, identify early-warnings, define threshold values, and calculate warning times for critical state transitions in bioreactors. Taking into account processes inefficiencies, we estimate that, along with the implementation of prevention countermeasures, PRODIGIO technology could contribute to increasing resource and energy efficiencies >50% throughout the production chain, which would translate into OPEX savings and GHG emissions reduction. The technological solutions that will derive from the project, such as a catalog of early warning signals for the failure of microalgae production and conversion-to-biogas systems, will be pre-commercial in nature; however, a roadmap will be compiled and updated during the course of the project that will identify priority research lines for further development and future implementation of technology. The results of PRODIGIO will pave the way for moving the entire microalgae biogas production chain efficiently towards its theoretical maximum, enabling the development of a fully integrated and truly sustainable microalgae biogas production industry and contributing to strengthening the EU's leadership in renewable fuel technologies.

Keywords: anaerobic digestion,microalgae,early warning signals,systems ecology,causal detection methods,conversion efficiency,life cycle sustainability assessment
Big Data driven personalized knee replacement (BD-KNEE)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Netherlands
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 4119195.72
EU funding (EUR): 2943097.25
Participants: 4
Project status: CLOSED

The BD-KNEE project is a “patient specific” system that provides innovative knee replacement devices, matching ICT with 3D printing new production technologies, which reduce patient pain, speeding up the recovery with a competitive price. This project is led by REJOINT, a company that work in the orthopaedic implant industry, that has joined forces with ORTHOKEY, the JV SensoriaHealth-ICT and Fundación Rioja Salud. Total Knee Arthroplasty, also known as Total Knee Replacement (TKR), is one of the most commonly performed orthopaedic procedures. The number of total knee replacements performed annually in the US is expected to grow +5 times to 4.34 million procedures by 2030. In Europe, this number has increased in recent years in most European countries as well (70%). Since many years, the biomedical “Total Knee Replacement” (TKR) industry is static and stationary in terms of material evolution, design and surgical procedures, although the orthopaedic market is a never stop growing market. The knee orthopaedic market value was $9bn in 2017 with a constant CAGR of 3% until 2020. BD-KNEE project is a medical e-platform that design and develop a family of medical devices and processes for the total knee replacement using the most advanced technologies (Electron Beam Melting or EBM 3D printing, Innovative software) at competitive cost and price (50% cheaper than the premium alternative ConforMis, our main competitor). Moreover, BD-KNEE e-medical platform reduces the rehabilitation of the patient, reducing the surgical time in OR thanks to customized pre-op software (design the implants and instrumentations for each patient) and intra-op software (a surgical technique to guide the surgeons). This project will have an important impact on the growth of BD-KNEE consortium, enabling to reach additional revenues of €30.36 million by 2025 and imply a growth in personnel, with the creation of 55 new jobs.

Keywords: industry 4 0,smart factory,new materials and processes,additive manufacturing,patient specific,mass customization,personalized medicine,life science,medical device,knee replacement
Towards a North-African Consortium of the Human Microbiome (NACHM) through strengthening the Capacities in Microbiome Analysis for Human Diseases at University of Sfax (MICAfrica)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Italy,Tunisia,France,France
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 896885.0
EU funding (EUR): 896885.0
Participants: 4
Project status: SIGNED

TheThe analysis of the human microbiome (genome of memberThe analysis of the human microbiome (genome of members of microbiota that is composed of billions of micro-organisms) is an emerging research area of considerable interest in human health and diseases. Disruption of the microbial community is a major risk factor for many diseases such as metabolic syndrome, immune disorders, cancer development, and is linked to limited response to treatment. In the last decade, numerous initiatives and projects were launched to take advantage of new, high-throughput technologies to characterize the human microbiome and to explore its relationship with health/diseases. Also concrete actions were engaged to provide a tangible response to the need to standardize and harmonize study methods and protocols, as well as regulations. Despite the increasing number of European and International initiatives on human microbiome, very few studies have been carried out in North Africa (NA). Therefore, there is an urgent need in NA for the development of skills in human microbiome analysis. With the support of the EU partners (Institut National de Recherche Agronomique (INRA)-Jouy en Josas and Aix Marseille University () from France and Florence University (UNIFI) from Italy), USFAX, aims to be a leading force in the region by: (i) increasing its staff capacities using new technological approaches such as Shotgun metagenome sequencing for the analysis of the human microbiome (ii) adopting a standardized approaches for collecting samples and analyzing data (iii) setting up and coordinating a consortium on human microbiomeat NA level building to start with on existing collaborations with Morocco, Algeria and Egypt that we have named “the North African Human Microbiome Consortium” (NAHMC). The MICAfrica objectives would be achieved through implementation of vertical coordination and support measures related to the definition of a scientific strategy for human and capital capacity building.

Keywords: health sciences human microbiome,cancer,diabetis,high throuput sequencing
ALGAL biorefinery of biogas digestate to high VAlue fuNctional IngredientS through circular approachEs (ALGALVANISE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 184590.72
EU funding (EUR): 184590.72
Participants: 1
Project status: CLOSED

The anaerobic digestion (AD) industry is currently facing serious environmental and economic challenges due to the restrictions on the usage of digestate (the slurry residue of the process), coupled with reductions in subsidies for biogas production. It is important for the biogas industry to shift towards an AD biorefinery approach to make valuable co-products from the digestate fraction while recovering nutrients. Algae is an efficient tool for recovering the nutrients due to its ability to assimilate the nutrients efficiently while producing biomass rich in proteins, lipids, carbohydrates, vitamins, and minerals. However, there are no relevant commercially-operating algal digestate treatment plants due to the high energy inputs required for producing and harvesting the algae. ALGALVANISE will advance the state-of-the art by developing two novel concepts: 1) enzyme-assisted enhanced algal cultivation; and 2) combinatorial bioflocculation using bacteria and biopolymers. These two processes are targeted towards efficient nutrient recovery by algae from the digestate and harvesting high-quality algal biomass to produce high-value functional ingredients. The proposed body of research involves extensive training of the hosted researcher in the development of skills that will have a clear positive impact regarding her professional development and career opportunities. It is expected that ALGALVANISE will enable the Researcher to progress significantly with regards to her career goals, a primary one regards being an independent researcher that can develop commercially-relevant high-impact research projects that develop and demonstrate innovations that can ultimately be deployed at flagship facilities. The innovations developed in ALGALVANISE could themselves ultimately lead to a flagship AD-algal biorefinery or they could develop the Researcher’s skills to such a degree that she could lead flagship projects, based on other technologies, in the future.

Keywords: anaerobic digestion,digestate,biorefinery,algae
In search of uniqueness - harnessing anatomical hand variation (H-Unique)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: United Kingdom,United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2019-01-01
End date: 2024-12-31
Duration (months): 72.0
Total project cost (EUR): 2495377.99
EU funding (EUR): 2133709.51
Participants: 2
Project status: SIGNED

H-unique will be the first multimodal automated interrogation of visible hand anatomy, through analysis and interpretation of human variation. It will be an interdisciplinary project, supported by anatomists, anthropologists, geneticists, bioinformaticians, image analysts and computer scientists. We will investigate inherent and acquired variation in search of uniqueness, as the hand retains and displays a multiplicity of anatomical variants formed by different aetiologies (genetics, development, environment, accident etc). Hard biometrics, such as fingerprints, are well understood and some soft biometrics are gaining traction within both biometric and forensic domains (e.g. superficial vein pattern, skin crease pattern, morphometry, scars, tattoos and pigmentation pattern). A combinatorial approach of soft and hard biometrics has not been previously attempted from images of the hand. We will pioneer the development of new methods that will release the full extent of variation locked within the visible anatomy of the human hand and reconstruct its discriminatory profile as a retro-engineered multimodal biometric. A significant step change is required in the science to both reliably and repeatably extract and compare anatomical information from large numbers of images especially when the hand is not in a standard position or when either the resolution or lighting in the image is not ideal. Large datasets are vital for this work to be legally admissible. Through citizen engagement with science, this research will collect images from over 5,000 participants, creating an active, open source, ground-truth dataset. It will examine and address the effects of variable image conditions on data extraction and will design algorithms that permit auto-pattern searching across large numbers of stored images of variable quality. This will provide a major novel breakthrough in the study of anatomical variation, with wide-ranging, interdisciplinary and transdisciplinary impact.

Keywords: anatomy,identification,biometric,automation
Targeting Root Hydraulic Architecture to improve Crops under Drought (HyArchi)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: France
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 2498100.0
EU funding (EUR): 2498100.0
Participants: 2
Project status: SIGNED

Water is the most limiting environmental factor for agricultural production worldwide and climate change exacerbates this threat. The HyArchi project will address this issue from a plant biology perspective and proposes new strategies to improve crop tolerance to drought. The main objective is to optimize water uptake and transport in cereals affected by drought. HyArchi will target maize, a major crop and a foundational model in plant genetics and water relations that is grown in irrigation or rain-fed conditions. HyArchi will consider three root traits: root system architecture, generated through continuous growth and branching; water transport; and environmental signalling. The first two traits yield the root hydraulic architecture. HyArchi will investigate how this architecture evolves in time and space by integrating local and systemic signals that communicate water availability. HyArchi proposes two innovative molecular discovery approaches recently validated by my group in model plants. Genome-wide association studies will be used to uncover novel genes, with signalling functions acting on root hydraulics. Transcriptomic analyses of an experimental split-root system will be used to identify molecules (e.g. hormones, miRNAs) involved in systemic signalling and governing root growth and hydraulics. These studies will be supported by key methodological developments. A semi-automated set of pressure chambers will be constructed to measure root hydraulics in multiple genotypes under highly controlled local root environments. Improved root image analyses will be coupled to mathematical modelling to represent local and systemic effects of water on root hydraulic architecture. Ultimately, HyArchi will deliver enhanced knowledge on root water transport and its control by a set of new genes, with a description of their natural variation and impact on whole-plant drought responses. Importantly, this will allow introducing beneficial alleles into elite cultivars.

Keywords: maize,plant genetics,phenotyping,root,water
Prostate Cancer DIagnOsis and TreatmeNt Enhancement through the Power of Big Data in EuRope (PIONEER)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Public-private partnerships
Destination: Innovative Medicines Initiative 2
Action type: Research and Innovation actions
Partnership: IMI2 (Art-187)
Countries involved: Germany,Germany,Italy,Israel,Germany,Germany,Germany,Belgium,Slovenia,Finland,Sweden,Sweden,Belgium,Belgium,Finland,Sweden,France,France,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: How Big Data could support better diagnosis and treatment outcomes for Prostate Cancer (H2020-JTI-IMI2-2016-10-two-stage, 2016)
Start date: 2018-05-01
End date: 2023-10-31
Duration (months): 66.0
Total project cost (EUR): 13549159.89
EU funding (EUR): 6000000.0
Participants: 40
Project status: SIGNED

Prostate Cancer (PCa) is the second leading cause of cancer, among men in Europe. There are currently major unmet needs in this field, such as insufficient knowledge on risk factors that contribute to PCa and on patient characteristics (including genetic profiles) that could facilitate patient stratification. Finally, there is lack of meaningful engagement of all key stakeholders, while the knowledge currently gained from clinical practice and real life data is not being fed back into PCa patients’ care pathways. There is thus a need for better definition of PCa across all stages, improved patient’s stratification at diagnosis, and standardisation of PCa-related outcomes based on real life data. PIONEER’s unique dual approach is to first identify critical evidence gaps in PCa by respected Key Opinion Leaders, and then embark on a research priority setting exercise that reflects the needs of all key stakeholders in PCa management. To achieve this, PIONEER has brought together comprehensive datasets that consists of the most relevant prostate clinical trials and registries, large epidemiological cohorts, electronic heath records, and real-life data from different European (and non-European) patient populations. These unique data sets will be integrated, standardised, harmonised and analysed using approaches that are built on our experience of similar previous IMI projects i.e EMIF, and eTRIKS, and analysed using a unique set of methodologies and advanced analytics methods (OMOP, eHS). PIONEER has already performed a first PCa research priority setting survey, where major stakeholders were asked to identify the current unmet needs in PCa. The five most important open questions will be used as pilot studies to verify PIONEER’s research framework. As such, PIONEER’s deliverables will be outcome-driven, value-based and patient-centric, and relevant to all key stakeholders, as they would have been meaningfully involved from the inception of the project.

Keywords: critical evidence gaps,research prioritisation,and multidisciplinary data sources,pilot cases,genetic profile,natural history