Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Counterfeiting Empire: Money, Crime, and Politics in the British Atlantic World (COINE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2021-02-15
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

COINE will provide the first comprehensive history of counterfeiting as an imperial crime, demonstrating that it had wide-ranging implications for market development, cultures of money and the market, and imperial authority in the eighteenth-century British Atlantic world. Combining methods from social, cultural, and political history with analysis of material and visual culture, COINE engages with interdisciplinary issues, including the dynamics between crime and economic development; the relationship of money to the state; and the evolution of money in the modern world. To accomplish COINE’s objectives, the Experienced Researcher (ER) will complete six months of field work in British archives, collecting data on British-based counterfeiting networks which will be assembled into a relational database and integrated into the ER’s existing database on counterfeiters operating in the British colonies. This data will allow the ER to accurately trace, for the first time, the movements of counterfeiters and their extensive networks in the British Atlantic world. Based at University of Birmingham (UoB) and benefiting from the expertise of the Supervisor and the Birmingham Eighteenth-Century Center, the ER will produce a monograph, Counterfeiting Empire, on money, crime, and politics in the eighteenth century. The results will also be disseminated in a single-authored article and conference presentations. COINE is thus designed to allow the ER to access critical archives, complete data analysis and writing that will be enriched by the intellectual community at UoB, and disseminate results that will change how scholars think about crime, money, and imperial politics. The ER will bring her expertise on the emerging field of the history of money to the UoB and help the institution strengthen ties with American researchers. COINE’s work programme will also augment the ER’s international research profile and position to obtain a permanent academic position.

Keywords: history of money and capitalism,history of crime,material culture studies
Brain Involvement iN Dystrophinopathies (BIND)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Spain,Ireland,Italy,Italy,Switzerland,France,France,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,Denmark,United Kingdom,Japan
Call: Understanding causative mechanisms in co- and multimorbidities combining mental and non-mental disorders (H2020-SC1-2019-Two-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2024-06-30
Duration (months): 54.0
Total project cost (EUR): 6716325.0
EU funding (EUR): 6666325.0
Participants: 21
Project status: SIGNED

Duchenne muscular dystrophy (DMD) is the most common muscular dystrophy in childhood, with more than 25,000 patients in Europe. It is due to mutations in the DMD gene that preclude the production of the protein dystrophin. In addition to the progressive muscle weakness, 50% of affected individuals have debilitating central nervous system (CNS) co-morbidities, including intellectual disability, neurodevelopmental problems encompassing autism, Attention Deficit Hyperactivity Disorder and Obsessive Compulsive Disorder. These co-morbidities are due to the deficiency of multiple dystrophin isoforms in brain whose expression is differentially affected by the site of the DMD mutation. They represent a major obstacle for patients to live a fully independent life. Current therapies do not address these co-morbidities. The postnatal restoration of one dystrophin isoform using genetic therapies in the DMD mouse model improves the neurobehavioral phenotype. This raises the exciting possibility that some of the CNS co-morbidities could improve with genetic therapies in patients. We need to address several knowledge gaps before considering clinical applications of these therapies: i. dystrophin isoforms localisation in the CNS; ii. which of the neurobehavioural features of the dystrophic mice improve after dystrophin restoration, and circuitries involved; iii. deep phenotype patients to define robust outcome measures. This project developed in partnership with advocacy groups, meets gender criteria and offers for the first time insight into how dystrophins’ affect CNS function, and on the reversibility of the DMD CNS co-morbidities, providing essential information to the field of neurodevelopmental disorders, and for other syndromes arising from dystrophin associated proteins. Our efforts to develop novel therapies that can cross the blood brain barrier could be transformative for the field of neurodegeneration and neurodevelopmental disorders.

Keywords: duchenne muscular dystrophy,learning difficulties and autism,deep phenotyping,animal models,gene therapies
The influence of Earth-surface processes on solid-Earth, ice-sheet, and sea-level interactions for Scandinavian Ice-Sheet collapse (EROSIVE)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-08-01
End date: 2020-07-31
Duration (months): 24.0
Total project cost (EUR): 212194.8
EU funding (EUR): 212194.8
Participants: 1
Project status: CLOSED

One of the grand challenges for society in the future will be to cope with the consequences of a changing climate and resulting changes in global sea level. Yet, predictions of past and future scenarios are associated with significant uncertainties, as we do not currently understand all processes that influence ice-sheet variability and thereby global ice volume. One key shortcoming relates to Earth-surface processes. Fjord formation by selective glacial erosion has the potential to elevate surrounding regions significantly by erosional unloading (~1 km in Greenland). However, the consequences for ice-sheet dynamics and global sea level have never been explored. My approach is to combine state-of-the-art numerical modelling efforts from the two disciplines of sea-level research and glacial geomorphology with empirical data analysis, in order to investigate the influence of such processes on the solid Earth, ice sheets, and sea level. I will apply this novel modelling scheme to study the former Scandinavian Ice Sheet (SIS), where remarkable empirical constraints exist on glacial isostatic rebound, past ice sheet extent, and deposited sediment volumes. By investigating a former ice sheet, I will improve our understanding of processes that are highly relevant for the future evolution of existing ice sheets. This will improve the scientific basis for decision makers to shape well-founded policies for optimal adaptation to future sea-level changes. While acquiring new expertise in glacial geology and sedimentology, I will i) constrain solid-Earth deformation and global sea-level changes due to Quaternary erosion and deposition in the Scandinavian region, ii) assess the influence of long-term glacial erosion for SIS dynamics, ice volume, and sea-level contributions, and iii) gain significant insight into important interactions between surface processes, solid-Earth deformation, ice-sheet variability and sea-level change, and improve our understanding of SIS collapse.

Keywords: surface processes,sea level change,ice sheet dynamics,solid earth deformation,isostasy
A disruptive innovation for the minisation of railway mantenance costs (DTD SYSTEM 2)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Spain
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-11-01
End date: 2019-10-31
Duration (months): 24.0
Total project cost (EUR): 1279337.5
EU funding (EUR): 895536.25
Participants: 1
Project status: CLOSED

European rail infrastructure managers spend yearly over 869M€ (from public funds) in repairing railway track damages caused by the poor conditions of train wheels. The existence of wheel defects implies however other significant costs, such as those associated with delays caused by incidents (over 1M€ per year only in UK) and the important economic, material and potential human losses due to derailments (only those involving dangerous goods cost Europe over 200M€ per year). This is however not due to maintenance overlook of train operating companies, as they spend yearly around 2.293M€ in inspection, maintenance and renewal operations of wheels. This is rather because even small changes in wheel condition (not detectable by current technologies) lead to huge damages in railway infrastructure. AMINSA has developed DTD SYSTEM, an innovative system capable of detecting with high precision wheel defects at its onset, using this information to design a predictive maintenance plan. DTD SYSTEM´s added value compared to competing systems is: 1) Higher accuracy in identifying wheel defects, 2) Reduction in track maintenance needs, 3) Easier and personalized service attending to each user’s needs, 4) Reduction in wheel inspection and maintenance and renewal costs. The successful execution of Phase 1 has led to the definition of a business model to deploy DTD SYSTEM as a service and reach EU market, establishing strategic alliances with stakeholders, users as well as commercial suppliers. Our overall objective in Phase 2 is to implement advanced demonstration units of DTD SYSTEM in the most complex and demanding conditions, as well as develop the tools needed to introduce DTD SYSTEM in the railway market. As a result, the exploitation of DTD SYSTEM will lead by the 5th year to cumulative sales of 21.5M€ and benefits of 13.6M€, while saving railway industry over 550M€ in track maintenance costs and 148M€ in inspection and maintenance cost.

Keywords: railway,wheel defects,wid systems,predictive maintenance,prognostic assessment,advisory generation
Quantum Information in Quantum Imaging (QIIQI)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: United Kingdom,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-29
End date: 2023-12-01
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 2
Project status: SIGNED

The principles of quantum mechanics are being used to achieve a new paradigm in metrology, the science of measurement. This *quantum metrology* increases precision which in turn (i) reveals foundational insight in quantum information theory and (ii) promises the next evolution in sensors. Single parameter estimation (e.g. interferometry) is widely investigated and the optimal resources and classes of measurements are identified. This maturity now allows application of the rigour of quantum metrology to other fields, such as quantum imaging — including imaging without detection techniques — and quantum process tomography. The challenge is to extend the quantum metrology framework to multiple parameter estimation, requiring theoretical and experimental effort to explore and identify the optimal resources and classes of measurements. I propose a novel scheme for full quantum process tomography, using multi-parameter quantum metrology combined with the imaging without detection technique. This unites previously disparate fields to achieve a new paradigm of quantum measurement physics and precision sensing technology. I will adapt and modify ghost-imaging schemes for simultaneous object estimation, investigate the role of nonclassical correlations to deepen understanding of quantum measurements and its information extracting capabilities. This project accelerates standard quantum metrology that until now has focused on single parameters and single objects. I will use free-space quantum optics for proof-of principle experiments and integrated silicon quantum photonics to reach higher levels of complexity and capability. The project unites my expertise in quantum foundations, quantum resources and ultra-high efficiency photon sources, with the experimental expertise of Dr Jonathan Matthews and colleagues of the Centre for Quantum Photonics, Bristol University — world leaders in integrated quantum photonics and photonic quantum technology.

Keywords: quantum,imaging,quantum information
Preventing unnecessary biopsies in the diagnosis pathway of cervical cancer. (DIADEPH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy,Netherlands
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-07-01
End date: 2022-12-31
Duration (months): 18.0
Total project cost (EUR): 162857.14
EU funding (EUR): 120000.0
Participants: 2
Project status: CLOSED

The goal of the DIADEPH project is to develop a “Business Proposition Package” that could enable our group to eventually bring a new non-invasive gynaecological device to market. The device holds promise to reduce the number of biopsies that are currently carried out to rule out cervical cancer, thus mitigating the pain, anxiety, and financial costs that the shortcomings of the diagnosis pathway brings today on patients, their families, and our society. Every year, more than half-a-million women are diagnosed with cervical cancer: for half of them, the diagnosis is a death sentence. This terrible disease often affects young lives: in Europe, it represents the 2nd most common form of cancer among women aged 15-44. The diagnostic evaluation starts if, during a periodical screening, the patient is found positive to high-risk Human Papilloma Virus. The patient is then primarily referred to colposcopy to look for possible signs of cervical intraepithelial neoplasia (CIN). Unfortunately, this exam leaves much to be desired: even for high grade leasions (CIN3), colposcopy gives a false negative in almost one case in three. To address the shortcomings of colposcopy, we propose a new transvaginal probe that obtains two independent neoplasia indicators: (1) a high-resolution 3D subsurface image, and (2) a quantitative assessment of its mechanical properties. The data are collected during a procedure that does not generate discomfort and is expected to provide a better diagnosis in a few minutes. We already developed a prototype for dermatological analysis, and tested it on volunteers; with this grant, we will convert the current form factor to enable transvaginal measurements. Supported by a team of physicists, engineers, medical doctors, and business developers, we will analyze the business opportunity and align all the stakeholders that are needed to go from a proof-of-concept to a market-ready product.

Keywords: optical coherence tomography,elastography,cervical cancer,colposcopy,gynecology,technology transfer
Microfluidic Advanced Manufacturing of Ultrasound Contrast Agents (MAMANUCA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Netherlands
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2014, 2014)
Start date: 2015-02-01
End date: 2015-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Tide Microfluidics is developing a patented technology capable of increasing the diagnostic capability of ultrasound. We have an advanced microfluidic manufacturing technique for producing ultrasound contrast agents (UCA) of controlled size to enable 20 times clearer images. Our uniform UCA’s are unique, as current UCA’s are composed of wide size distribution microbubbles, making them less effective. We aim to develop our technology into a bedside production device, which would lead to a reduction in diagnostic imaging costs, as ultrasound is cheaper than MRI or CT, and gives better images for faster and more accurate diagnoses. We would use Phase 1 funding to commercially and technically assess the feasibility of our device. We need to understand the users requirements and how best to fit into their workflow, as well as how to create a robust, reliable and user-friendly design. Economic viability will be studied, as pricing must be cost effective or market uptake will not occur. Finally, we will investigate the clinical validation needs and level of medical certification required for our bedside production device to be accepted in Europe, the USA and the rest of the world. This knowledge on feasibility, cost pricing and validation defined in Phase 1 would work as a roadmap for our development during a Phase 2 project. Thus, exploitation of SME instrument Phases 1 and 2 would secure the continuous development and validation of our device allowing for a rapid market entry, bringing a valuable tool to the end users and reducing healthcare costs. We aim to enter the ultrasound imaging market with our bedside device. Currently, more than 3 million ultrasound procedures using UCA‘s are carried out each year worldwide, with the European market alone worth $46 million. Ultimately, our vision is to become the world’s foremost supplier of UCA production devices delivering high definition contrast agents, enabling clearer diagnostic images for more effective patient care.

Keywords: microfluidics,ultrasound,ultrasound contrast agent,diagnostic imaging,monodisperse,emulsions,microbubbles,microdroplets,targeted drug delivery,drug carriers,mobile manufacturing
Systematic analysis of Pacific phytoplankton and islands regional effects (SAPPHIRE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-04-02
End date: 2019-07-01
Duration (months): 15.0
Total project cost (EUR): 108172.5
EU funding (EUR): 108172.5
Participants: 1
Project status: CLOSED

Phytoplankton, the tiny algae that fix carbon dioxide via photosynthesis, represent the base of the oceanic food chain and support essentially all life in the oceans. In the tropical Pacific, where phytoplankton biomass is low, local nutrient enrichments near islands support ecosystems characterized by higher biomass and biodiversity. While this "island effect" has been known for 60 years, the vast majority of islands remain unstudied and impacts at the basin scale are unknown. Additionally, little is known regarding changes in phytoplankton community structure despite implications for higher trophic levels. The SAPPHIRE project will elucidate the impact of islands on phytoplankton by conducting the first systematic study of the island effect in the tropical Pacific from a suite of physical and biological satellite data. This project leverages the OUTPACE in situ 20°S transect that sampled phytoplankton community composition nearby several islands in 2015 and the breakthrough satellite-based PHYSAT method that detects phytoplankton functional groups from space. Novel methods identifying and characterizing the island effect will be first developed in the OUTPACE region from in situ and satellite data, then applied to the entire tropical Pacific using satellite data. The ultimate goals are to 1) quantify the impact of islands on phytoplankton and physics in the tropical Pacific and 2) classify the islands as a function of enrichment processes and phytoplankton responses using cutting-edge machine learning techniques. SAPPHIRE provides a highly original perspective on marine ecological research by systematically conducting thousands of small-scale process studies over a large area, effectively providing a large-scale assessment of a mesoscale process. This project will be an important step in my career development by establishing me as a leading scientist in the emerging field of multidisciplinary data-intensive oceanography in Europe.

Keywords: phytoplankton,biodiversity,island effect,satellite data,physical biological interactions,tropical pacific
Building data scientist to help us dive deep into the very large amount structured time series data pertaining to building energy use (EnergySequence)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain
Call: European SME innovation Associate - pilot (H2020-INNOSUP-02-2016, 2016)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 68000.0
EU funding (EUR): 68000.0
Participants: 1
Project status: CLOSED

We are looking for a Building data scientis to help us dive deep into the very large amount of structured time series data pertaining to building energy use and help automate insights gleaned from sophisticated model based energy analys into scalable rule based recommendation system The Building Data Scientist will be responsible for modelling, but will work closely with Energy Efficiency Engineers and the Software Developers, also assist on new R&D initiatives as needed. As a member of an innovative startup on a rapid growth path, the ideal candidate must be able to juggle multiple responsibilities, be comfortable in developing cutting-edge statistical and machine learning algorithms as well as have the ability to switch contexts rapidly between research literature searches, rapid algorithmic prototyping, as well as assisting in code testing and deployment. We have devised a career path for the 12 month grant to assure the best integration in the team, skills development and innovation results for the project. We expect an important impact resulting from the recruitment as far as the intelligence analysis features of the software platform is concerned. Innovation resulting from the ability to assess energy efficiency remotely without going on site, therefore at a fraction of the time and cost. This innovation will be supported by the development of AI algorithms and building energy models using limited input information. AI algorithms will enable us to perform a virtual energy audit, assessing energy end-use disaggregation (heating and cooling), time schedules, etc then establishing first energy saving recommendations measures: load shifting, abnormal consumption, energy equipment start and stop optimal sequencing, etc Building energy modelling determining the building energy demand and consumption forecast, identify the building energy baseline for energy conservation measures asessment and verification, and the energy base load, establishing energy ratios