Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Assessment Strategy for Upstream Plant Inspection and Repair (ASPIRE)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Germany,Greece,Romania,United Kingdom,United Kingdom
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2016-1, 2016)
Start date: 2017-05-01
End date: 2019-10-31
Duration (months): 30.0
Total project cost (EUR): 2764706.25
EU funding (EUR): 2242355.63
Participants: 5
Project status: CLOSED

Over 50% global oil and gas is produced by offshore assets beyond midpoint of their design lives. 50% all asset failures related to technical integrity are due to ageing (MARS). Ageing assets therefore represent major hazards for offshore oil and gas personnel, the environment and the society. Europe accounted for 28% reported major accident loss of containment from 1980 to 2006, with 11 fatalities, 183 injuries & >€170M economic loss (HSE). The recent crude oil price drop is forcing oil and gas operators to increasingly focus on extending lifespan of existing offshore assets (above design life), as oppose to asset replacement. Assuring assets integrity and safety of personnel, environment & society also remains a top priority. 2016 oil and gas industry report concluded that new asset inspection technologies could generate €1bn p.a. for the sector. We timely propose to finalize a unique and first commercial system (ASPIRE) which combines & automates: asset inspection; inspection data analyses; and maintenance scheduling. The system will inspect & report maintenance schedules for critical assets (e.g. well conductor) within 1 day at cost of €4K. Current industry standard and state-of-the-art methods are fragmented: inspection companies generate large amounts of data manually, which is time-consuming (e.g. 5 days for well conductor), extremely risky (access hazardous environments without prior sound knowledge of asset status) and expensive. Inspection data is then passed to data analyses firm for interpretation/reporting (+5 days), followed by maintenance planning (+5 days), costing >€20K for the whole process for a 100m/24 well conductor. ASPIRE combines these 3 Steps in 1. It reduces inspection and maintenance scheduling time (1 day vs 15 days/well conductor) and cost (€4K vs >€20K). ASPIRETM will generate €49.5M revenue & €24.7M gross profit for SME-led consortium within 5 years (2019-2023),i.e. 10:1 ROI for EC grant, creating 62 new consortium jobs in the process.

Keywords: upstream oil and gas sector,inspection,corrosion life extension,efficient management software,robot,harsh environment
Chromosomal Common Fragile Sites: Unravelling their biological functions and the basis of their instability (CFS modelling)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Spain,Denmark
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-05-01
End date: 2022-07-31
Duration (months): 75.0
Total project cost (EUR): 1499711.0
EU funding (EUR): 604610.0
Participants: 2
Project status: CLOSED

Cancer and other diseases are driven by genomic alterations initiated by DNA breaks. Within our genomes, some regions are particularly prone to breakage, and these are known as common fragile sites (CFSs). CFSs are present in every person and are frequently sites of oncogenic chromosomal rearrangements. Intriguingly, despite their fragility, many CFSs are well conserved through evolution, suggesting that these regions have important physiological functions that remain elusive. My previous background in genome editing, proteomics and replication-born DNA damage has given me the tools to propose an ambitious and comprehensive plan that tackles fundamental questions on the biology of CFSs. First, we will perform a systematic analysis of the function of CFSs. Most of the CFSs contain very large genes, which has made technically difficult to dissect whether the CFS role is due to the locus itself or to the encoded gene product. However, the emergence of the CRISPR/Cas9 technology now enables the study of CFSs on a more systematic basis. We will pioneer the engineering of mammalian models harbouring large deletions at CFS loci to investigate their physiological functions at the cellular and organism levels. For those CFSs that contain genes, the cDNAs will be re-introduced at a distal locus. Using this strategy, we will be able to achieve the first comprehensive characterization of CFS roles. Second, we will develop novel targeted approaches to interrogate the chromatin-bound proteome of CFSs and its dynamics during DNA replication. Finally, and given that CFS fragility is influenced both by cell cycle checkpoints and dNTP availability, we will use mouse models to study the impact of ATR/CHK1 pathway and dNTP levels on CFS instability and cancer. Taken together, I propose an ambitious, yet feasible, project to functionally annotate and characterise these poorly understood regions of the human genome, with important potential implications for improving human health.

Keywords: mouse models,genomic instability,replication stress
Improving tree carbon use efficiency for climate-adapted more productive forests (iCUE-Forest)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-07-01
End date: 2022-12-31
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

Wood production depends on how effectively trees convert atmospheric CO2 into wood. Moreover, forests mitigate climate change through their net carbon uptake from the atmosphere. Both these forest functions are crucially dependent on tree carbon use efficiency (CUE), which is determined by gross primary production (GPP, photosynthesis at large spatial scales) and respiration. Although GPP is so far stimulated under recent climate change conditions, the effect of future climate on CUE is unclear due to the unknown response of plant respiration to more severe increases in temperature. It is thus necessary to identify the drivers of changes in CUE and to increase CUE to enhance wood production and carbon stocks under future climatic conditions. In light of the typical rotation lengths, forest managers need to be informed already today on which species will be optimally adapted in certain regions to a changing climate. Within this 2-year project, I will develop novel data-driven estimates of plant respiration, net primary production and tree CUE based on recent satellite-driven maps of tree living biomass, extensive databases of tree compartment respiration rates, and temperature datasets. Subsequently, I will detect spatial relationships between CUE and climate variables dependent on tree species in northern hemisphere boreal and temperate forests and predict the change in CUE in response to future climate by using a dynamic global vegetation model (DGVM) under different forest management scenarios. I have recently derived remote sensing based forest biomass products that will be the basis for this research. Prof. Dr. Thomas Hickler and his research group at the Senckenberg Biodiversity and Climate Research Centre (BiK-F) are experts in ecosystem modelling, thereby particularly using the LPJ-GUESS model, the DGVM that we will apply within this project. His connections to the modelling community and to forestry experts will facilitate the exploitation of our results.

Keywords: vegetation carbon cycle in boreal and temperate forests
Maintaining integrity, performance and safety of the road infrastructure through autonomous robotized solutions and modularization (InfraROB)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Austria,Germany,Italy,Italy,Spain,Spain,Belgium,Switzerland,Portugal,Denmark
Call: Enhancing coordination between Member States' actions in the area of infrastructure research with a particular focus on biodiversity and ameliorating environmental impacts and full automated infrastructure upgrade and maintenance (H2020-MG-2020-TwoStages, 2020)
Start date: 2021-09-01
End date: 2025-02-28
Duration (months): 42.0
Total project cost (EUR): 5005648.75
EU funding (EUR): 5005648.75
Participants: 18
Project status: SIGNED

With the aim to reduce workers’ exposure to live traffic and construction machines, increase the availability of the transport network, reduce the cost of repetitive tasks, and increase the safety of road users, InfraROB promotes significant advances in automating, robotising and modularizing the construction, upgrade and maintenance of the road infrastructure. By focussing on the road bed and, particularly, on roads paved with asphalt (the most widely applied type of pavement in Europe, accounting for 90% of all paved roads and highways ), the project will develop autonomous robotized systems/machinery for (i) (re)paving, (ii) repairing cracks/potholes in the road surface, and (iii) line marking. In addition, it will develop (iv) robotized safety systems for workers and road users. It will then develop (v) integrated one-piece precast construction elements for the roadside drainage serving a major degree of modularization in road design and construction/upgrade. In order to cope with optimal road maintenance planning, the project will furthermore upgrade existing Pavement Management Systems (PMS) to use digital twin models of road networks that track changes of their physical counterparts in real time, to give support for maintenance planning based on dynamic predictive modeling and the acquisition of real-time data on pavement conditions. Finally, yet evenly important, to provide for the safe and coordinated deployment of automated road maintenance robots, the project will attempt the integration of Pavement Management System (PMS) and Traffic Management System (TMS) solutions in order to allow for a holistic, integrated management of road infrastructure and traffic over the whole lifespan.

Keywords: road infrastructure maintenance,autonomous robots,prefabricated elements,pavement management system,traffic management system,collaborative operation of robotized safety cones and rpas
Catastrophic Failure in Flexural Lattice Problems (CAT-FFLAP)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-14
End date: 2019-09-13
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

Currently, there is a vast amount of research activity taking place into the development of new materials having unconventional properties and the respective technologies have been opening new eras through various applications for society. This new generation of materials, or metamaterials, have led to interesting physical properties previously thought impossible such as cloaking, negative refraction and materials that contract when heated. Most of those properties are realised in the dynamic response of the material. However, in these dynamic processes uncertainty remains as to whether these metamaterials undergo feasible deformations, remaining intact. Research into the latter is limited. Understanding this phenomenon is important in developing new metamaterials. Additionally it is crucial, for example, in larger structures such as multi-span bridges, pipelines and skyscrapers exposed to earthquakes and terrorist attacks, regularly faced in Europe and their effects can be catastrophic to human life. To accomplish this research, a significant multidisciplinary effort is required from applied mathematicians, engineers, computer scientists and industrialists closely collaborating towards this one goal. This timely project has two aims: (i) to create a well-rounded researcher capable of interacting with engineers and industrialists and (ii) this should be executed through the research into this area or more specifically the dynamic failure propagation in structured media under various loading conditions. This will be achieved through establishing an international and multidisciplinary long-standing collaboration between the European Fellow (EF), who is an applied mathematician, academic partner UniCA and industrial partner ES. Through this, a unique research environment will be created offering essential training not possible at the EF’s home institute, creating new skills that will complement the EF’s existing strengths to enable objectives (i) and (ii).

Keywords: metamaterials,dynamic fracture,flexural media,wiener hopf method,asymptotic methods,numerical methods
Our Galaxy at full HD (Gal-HD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-04-01
End date: 2020-08-21
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Some astrophysical mechanisms that are crucial for the evolution of our Galaxy, and of galaxies in general, like the assemblage of the Galactic halo, the spiral arms dynamics, and the star formation processes, are poorly understood. But this research field is on the verge of an important breakthrough thanks to the ESA Gaia mission that is gathering an unprecedented census of positions, distances, velocities and stellar properties for a billion stars. Now it is time that the European scientists exploit their output data. Our Galaxy at full High Definition (Gal-HD) is a project that will use the Gaia data releases and follow-up surveys to investigate key galaxy evolution processes. We will do this by detecting the signatures that they produce in the stellar phase-space of the Galaxy. Gal-HD will pioneer in: 1) the detection of Ultra Faint Dwarf Galaxies in the halo as probes for cosmological models, 2) the investigation of the large-scale kinematics of the disk and the nature of the spiral arms, 3) the study of the nearby kinematics as tracer of the local star formation. The project combines observational and theoretical astrophysics with data mining. The Experienced Researcher (ER) has deep expertise in Galactic dynamics, analysis of kinematic data and substructure detection tools. The Host Group is expert in Galactic astronomy, coordinates the development of the novel Gaia Archive and will train the ER on the Archive mining tools required. The strong preparation for the Gaia exploitation of the ER and the Host Group puts them in clear advantage to make a substantial contribution to the field and to be in the front lead of the Gaia science. This research will bring the ER closer to her long-term career goals of being a consolidated leading researcher. Gal-HD will also participate in preserving the European leadership in Galactic astronomy and space astrometry, and contribute to the Gaia scientific harvest that Europe has planned and invested for.

Keywords: gaia mission,the galaxy formation,dynamics,halo,dwarfs,disk,spiral arms,lambda cdm model,stars kinematics,associations,formation,data analysis and data mining,astronomical databases
Reducing the cost and increasing the speed of preclinical research in the pharmaceutical industry (Genome Biologics)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Biotechnology
Action type: SME instrument
Countries involved: Germany
Call: Dedicated support to biotechnology SMEs closing the gap from lab to market (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Genome Biologics’ novel drug discovery platform addresses the inefficiencies in pre-clinical studies with a unique combination of genomics, molecular science and big data analytics. Using patented single cell transgenic technology, the platform can express 50 different genes in a single animal in 6-8 weeks. This breakthrough approach reduces pre-clinical study time and costs by a factor of 10x, allowing pharmaceuticals companies to bring drug candidates to the stage of human trials in 3-6 months instead of 7-10 years. This drastic cost and time reduction will make it economically possible for pharmaceutical companies to bring affordable and effective treatments for rare diseases, as well as (non-orphan) non-communicable diseases, such as cardiovascular diseases, cancers, chronic respiratory diseases and diabetes, which carry an increasing burden for healthcare systems treating an ageing population. The novel platform also brings a step-change in transgenic animal models: 50-100x less animals are required to generate a reliable model, which reduces drastically the number of animals required in pre-clinical studies and the related ethical burden for pharmaceuticals companies. The solution uses a patent protected DNA/RNA adeno-associated virus technology that enables testing of up to 50 disease-related genes in a target tissue of interest simultaneously, while at the same time ensuring that each of the cells expresses only a single gene. The technology is addressing a market where pharmaceutical companies currently spend €1Bn per year on animal models. We will interview 40 target customers in phase 1 in order to validate the market potential of the solution, and confirm our initial willingness to pay analysis. We will also identify technical improvement areas and define a go to market plan.

Keywords: transgenic,animal models,pre clinical studies
Neocortical circuits underlying visually-guided behaviors in mice. (CortexVisionBehavior)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-03-17
End date: 2018-03-16
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Many of our most common behaviors, such as reaching out to grasp an object or turning towards something of interest, require that we transform visual information into a representation that guides action. In humans and other mammals, key steps in this transformation take place in the cerebral cortex, by the cooperative action of multiple cortical areas. How does this cooperation occur? The classical hypothesis holds that cortical areas act in series, each performing a unique step of the transformation and passing on the result, like workers on an assembly line. In an alternative hypothesis the transformation occurs in a distributed fashion, with multiple cortical areas participating jointly in each step. In this hypothesis each area may function more like people lifting a table together by its sides. To test these competing hypotheses, I propose to record simultaneously from populations of neurons in six key cortical areas in mice performing a visual discrimination task. The task is designed to separate and quantify the contributions of each area to visual perception, decision-making, and action. The results will distinguish between the two competing hypotheses and reveal the distinct – or shared – roles of each cortical area. Then, I will put these conclusions to the test by silencing neurons in each of three areas and comparing the effects of inactivation on behavior. Together these experiments will reveal the fundamental mechanisms of how cortical circuits cooperate to produce visually-guided behaviors. I will perform these experiments in the Cortical Processing Laboratory at University College London, led by Kenneth Harris and Matteo Carandini.

Keywords: vision,cerebral cortex,cortical dynamics,electrophysiology,optogenetics
Nano-confined photonic system for detection of breast cancer spread to the lymph nodes (HypoSens)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Spain,Albania,Israel,Spain,Germany,Spain,Bulgaria,Belgium
Call: Photonics KET 2016 (H2020-ICT-2016-1, 2016)
Start date: 2016-11-01
End date: 2019-10-31
Duration (months): 36.0
Total project cost (EUR): 3998646.25
EU funding (EUR): 3998646.25
Participants: 11
Project status: CLOSED

The Vision of HypoSens is to develop a widely accepted,non-invasive and crucial prognostic tool for breast cancer progression in early stages to help clinicians and specially oncologists to decide about prompt therapy approaches to patients and improve quality of life and expectancy. Our breakthrough research will focus on the development, pre-clinical and clinical validation, and industrial demonstration of a unique all optical cancer prognostic system that will determine presence of cancer cells in the breast lymph nodes and characterize them, which correlates with presence of metastasis and bad prognosis. HypoSens prognostic system will consist of a non-invasive Near-infrared imaging device able to register signals through scattering media enabled by the implementation of wavefront shaping,that will process data collected by injected tumour-targeted body antibody functionalised nano-particles containing porphyrin sensors that will determine local oxygen concentration and local temperature distribution in the cancer cells.The HypoSens imaging system is strategically designed to offer a non-invasive alternative to the Sentinel Lymph Node Biopsy,the current surgical procedure for breast cancer staging. With an approximate cost of 60,000€ per device unit and additional 5,000€ per patient, the device is an affordable, accurate, easy to use prognostic solution for clinicians towards more accurate and fast diagnostics and personalised treatment options.The initial target of the project is metastatic breast cancer, with potential later involvement in other cancer markets, e.g. vulval, renal, colorectal, gastric etc (via the use of different tumor-targeting moiety).With an estimated 1.7 million new cases each year, breast cancer is the most common cancer among women worldwide.Its low cost will enable a wide and fast take-up by clinicians and hospitals leading to an important reduction of the economic and societal burden related to the diagnosis and treatment of cancer.

Keywords: nano confined photonic,breast cancer,imaging,prognosis,nano sensor,metastasis,oxygen levels