Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
On the frontiers of public health. Care for refugee sex workers in Paris as a case of internationalization of cities. (CosmopolitanCare)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2022-05-31
Duration (months): 36.0
Total project cost (EUR): 277061.76
EU funding (EUR): 277061.76
Participants: 1
Project status: CLOSED

The “refugee crisis” is turning cities into controversial arenas of the internationalization of public health. Local governments, unprepared to deal with the situations of poverty and exclusion experienced by refugees and migrants, call for coordination with humanitarian professionals. The research project aims to understand the ways in which the health problems of a growing and extremely marginalized urban population, that of migrant and refugee sex workers, are addressed. Research lies at the intersection of two theoretical debates that are mainly based on ethnographic and historical approaches. A first body of literature is only recently trying to overcome the dominant anti-trafficking discourse where care for sex workers has been confined. A second body of literature sees cities as the most convenient contexts to investigate controversies of global health – especially humanitarian care - in dealing with vulnerable and marginalized populations. Based on the combination of two inquiry methods - ethnography of outreach work and participatory action research – "CosmopolitanCare" aims to investigate the ways in which new forms of coordination among sex workers, humanitarian professionals and civil society affect migrant and refugee sex workers’ experiences of public health in the context of moral and political tensions emerging around both the issues of migration and prostitution in Europe. Main objectives are: (a) to generate a frontier perspective on cities, health and migration; (b) to investigate the consequences of different modes of interventions on migrant and refugee sex workers’ health problems; (c) to turn research into an experience of collective evaluation of the accountability of the interventions under observation. The timeliness of the project offers an outstanding opportunity to experiment a new relationship between science and democracy and contribute to European innovation in public health research and urban policy.

Keywords: internationalization of public health,deviance,participatory action research,health activism,humanitarianism,human trafficking,gender inequalities,care,stigma and creativity
Attesting Neanderthal dwelling space use: effects of human occupations in the Middle Palaeolithic record of Fumane cave (ANDSU)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-08-01
End date: 2023-01-31
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

The debate over Neanderthal subsistence patterns and behavioural aspects is source of many discussions and scieThe debate over Neanderthal subsistence patterns and behavioural aspects is source of many discussions and scientific contributions. Research over the last ten years has produced new data on mobility, economic strategies and life-aspects of Neanderthals, that have changed and enriched the comprehension of the material record of these ancestors. The project entitled “Attesting Neanderthal Dwelling Space Use: effects of human occupations in the Middle Palaeolithic record of Fumane cave” (ANDSU) will address the identification of changes in Neanderthal subsistence patterns across the analysis of the late mousterian sequence of Fumane cave (44-47.6 ka cal BP) (Verona, Italy). ANDSU will overcome the traditional limits of scientific research through specific objectives: identify Neanderthal spatial patterns, site function, temporality (or not) of activity areas and hearths and lengths and number of occupation(s)/event(s). An integrated multidisciplinary research methodology that has never been proposed until today, will be useful to address the aforementioned objectives and enhance the state-of the-art. Based on bone refits, Spatial Archaeology, multivariate Statistic techniques and 3D modeling reconstruction the project emerge for its combined high-innovative methodologies. The experimentation of 3D scan of bones will provide an important step for the attempt to automatically, or semi-automatically refit of faunal assemblages. , would radically transform zooarchaeological research methods. On the base of these premises, ANDSU focuses on the crucial need to extend our knowledge about Middle Palaeolithic record and to understand the range of Neanderthal variability. Also, it is expected to open up new perspectives to know the life-ways of Fumane inhabitants and to understand their cultural relationships, compared with Neanderthal groups of other European regions.

Keywords: neanderthal,dwelling space use,bones refitting,statistical analyses,3d modeling,automatic refits
RAILway Ground truth and digital mAP (RAILGAP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Germany,Belgium,France
Call: EGNSS applications fostering green, safe and smart mobility (H2020-SPACE-EGNSS-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 3135426.25
EU funding (EUR): 2722080.25
Participants: 12
Project status: SIGNED

RAILGARAILGAP is an essential step towards green, safe, smart mobility on rails. It focuses on developing innovative High Accuracy, High Precision Ground Truth and Digital Maps, essential elements of an EGNSS train positioning system and a V&V Environment. The outcomes will address two show stoppers: lack of high-quality data with ground truth (needed for developing new navigation systems) and a modernized process for mapping existing train tracks cost-effectively, by deriving mapping information directly from trains in commercial operation. This will enable positioning with unprecedented reliability and efficiency in the railway operations. The missing piece is a methodology to collect and aggregate the data without operational overheads or labour, at minimal cost in hardware while removing any need for trackside infrastructure. RAILGAP addresses these challenges with a method based on commercial trains collecting massive amounts of data. This enables characterizing even the most challenging railway environments. Results will support the GSA roadmap in adopting EGNSS in train Command & Control Systems (CCS) and trigger contributions from stakeholders. We will exploit a fusion of GNSS with data from other sensors as IMU, Lidar and Camera. Dual-Freq., Multi-Const. GNSS is key to improving map accuracy in challenging environments (urban areas, tree canopies) extending coverage of GNSS on rails. RAILGAP will make ERTMS and CCS with EGNSS sustainable, helping modernise regional and local lines, where passengers will benefit daily. It also enhances the case for ERTMS and CCS by lowering energy consumption. Project coordinator is RFI, who has been very involved in piloting GNSS-based technology for ERTMS like the Novara-Rho pilot line. The team has experts in rail and satellite navigation and includes research organizations, engineering consultants, railway operators and stakeholder representatives, forming a well-recognized consortium with long-term working experience.

Keywords: railway,multi sensor,high accuracy,high integrity
Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI (StairwAI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Ireland,Germany,Italy,Spain,Italy,Switzerland,Poland,Latvia,France,Netherlands,Netherlands
Call: Artificial Intelligence on demand platform (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 5371707.18
EU funding (EUR): 5116631.25
Participants: 12
Project status: SIGNED

The most fundamental need of the AI4EU on-demand Platform at this stage in its development is the introduction of improved functionality to allow for the easy engagements of it core targets stakeholders, namely SMEs. While additional resources and strong domain-specific solutions are also needed, it will be a wasted enterprise without a simple mechanism to match users to these assets. What is needed is a Stairway to AI, a linking bridge between users in a low-tech level to the higher-level AI resources that have the potential to transform both their business. The StairwAI project targets low-tech users with the goal of facilitating their engagement on the AI on-demand Platform. This will be achieved through a new service layer enriching the functionalities of the on-demand platform and containing: (1) a multi-lingual interaction layer enabling conversations with the Platform in the user’s own language, (2) a horizontal matchmaking service for the automatic discovery of AI assets (tools, data sets, AI experts, consultants, papers, courses etc.) meeting the user business needs and, (3) a vertical matchmaking service that will dimension and provision hardware resources through a proper hardware provider (HPC, Cloud and Edge infrastructures). These services are designed and implemented by using techniques in an AI for AI fashion. The AI techniques deployed in the development of the services are natural language processing for the multi-lingual interaction, constraint solving, optimization and machine learning for horizontal and vertical matchmaking, knowledge representation for organizing the platform AI assets, reputation and fairness mechanisms to improve the matching results. StairwAI will have a tremendous impact on the sustainability, collaboration opportunities, accessibility and fairness of the AI on-demand Platform, enabling the definition of proper business models for the uptake of AI bringing new value for EU industry.

Keywords: natural multi language processing,matchmaking,hardware dimensioning and provisioning,low tech smes
Intact SynaPtic Imaging in REal-time (InSpIRe)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Sweden
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2380000.0
EU funding (EUR): 2380000.0
Participants: 1
Project status: SIGNED

Modern fluorescence microscopy can provide rapid, real-time functional imaging of brain activities (light sheet) or to visualize with high definition and specificity the synaptic organization (super resolution, expansion). However, rapidity and precision are still too far apart to allow studies of fast dynamics with intra-synaptic precision mainly due to incompatible optical and probes requirements in current technologies. My aim is to fill this gap with the development of an optical platform, named InSpIRe, which allows real-time volumetric imaging of brain tissues with intra-synaptic level of details thanks to a new optical scheme coupled to the photo-switching properties of recently engineered red-shifted probes. InSpIRe will take advantage of rsFusionRed, a new palette of reversibly switching fluorescent proteins, which we recently introduced. The contrast and photo-resistance of rsFusionRed imaging will be increased with an optical strategy that uncouple the geometry of the illumination for switching and fluorescence excitation, which we demonstrated in our MoNaLISA microscope. In InSpIRe these concepts are brought to a new level to record volumetric dynamics in brain tissues without compromising resolution and speed. We will craft a new interference pattern, which optically imprint small-sub-resolved- volumes of rsFusionRed in the 3D tissues architecture. These volumes will be read-out with an oblique sheet of light to increase speed and minimize photo-bleaching. Unlike lattice light sheet we use one objective lens, which increases the slice accessibility and unlike STED/STORM the acquisition is faster. InSpIRe will record movies with molecular resolution without losing the larger neuronal architecture, which can shine light to open question in the field of organelles trafficking. As a proof of principle, we will study the dynamics of the endoplasmic reticulum, which are little known in synapses, and which we could, for the first time, show with precision.

Keywords: super resolution light microscopy,optical nanoscopy,fluorescence imaging,live cell imaging,neuronal imaging techniques,sted,resolft,synaptic protein trafficking,fluorescent proteins
Validation Manager - A disruptive turnkey solution for diagnostic test validations (VALIDIAG)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Finland
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The need for fast and accurate diagnostics in laboratories is an exceedingly important global issue. It is a mandatory requirement by regulators that the performance of any new clinical diagnostics test must be thoroughly demonstrated, i.e. validated before it can be sold by the diagnostics companies, or taken in use by laboratories. Organizations may easily waste on average 100 000€ a year for validations, which could be saved. Finbiosoft (FBS) has introduced a unique and disruptive cloud-based (SaaS) software, Validation Manager™, which makes validation of diagnostic tests according to requirements truly easy and is able to cut down even 95% of the time needed for validations. The software enables i) diagnostic companies to save dramatically time and money to reach markets faster, allowing them to sell more, and ii) laboratories to be able to cost effectively evaluate and take into use the best available diagnostics. The estimated market potential globally is 750 M€. Finbiosoft's ambition is to revolutionize industry practices and make its solution a de facto tool for managing validations globally in all diagnostics segments. FBS is the only player on the market offering a full turnkey solution, and holds a unique opportunity to grab the global leadership position in diagnostics validations. In the project, FBS will assess the market potential and arising challenges when expanding from the first targeted segment, molecular diagnostics, to other segments like clinical chemistry. Upon completion of the project, FBS deeply understands requirements to commercialize its product to new segments regarding both technical and economic aspects with a plan to achieve the desired de facto status. The outcome is comprehensive business plan and knowledge of the full potential for the solution in Europe with a detailed road map and go-to-market model, crucial to provide direction to the next phase of development and the planned Horizon 2020 SME phase II application.

Keywords: validation diagnostics regulatoryrequirements ce ivd fda saas turnkey distruptive performance sme
Certifying the Security and Resilience of Supply Chain Services (CYRENE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Italy,Cyprus,Serbia,Greece,Sweden,Switzerland,Belgium,Greece,France,Netherlands
Call: Building blocks for resilience in evolving ICT systems (H2020-SU-ICT-2019, 2019)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 4992750.0
EU funding (EUR): 4992750.0
Participants: 16
Project status: SIGNED

Despite the tremendous socio-economic importance of Supply Chains (SCs), security officers and operators have still no easy and integrated way to protect their interconnected Critical Infrastructures (CIs) and cyber systems in the new digital era. CYRENE vision is to enhance the security, privacy, resilience, accountability and trustworthiness of SCs through the provision of a novel and dynamic Conformity Assessment Process (CAP) that evaluates the security and resilience of supply chain services, the interconnected IT infrastructures composing these services, and the individual devices that support the operations of the SCs. In order to meet its objectives, the proposed CAP is based on a collaborative, multi-level evidence-driven, Risk and Privacy Assessment approach that support, at different levels, the SCs security officers and operators to recognize, identify, model, and dynamically analyse advanced persistent threats and vulnerabilities as well as to handle daily cyber-security and privacy risks and data breaches. CYRENE will be validated in the scope of realistic scenarios/conditions comprising of real-life supply chain infrastructures and end-users. Furthermore, the project will ensure the active engagement of a large number of external stakeholders as a means of developing a wider ecosystem around the project’s results, which will set the basis for CYRENE large scale adoption and global impact.

Keywords: supply chain security and resilience,eu cybersecurity act,conformity assessment process,evidence based risk assessment,iso28001,iso 27001,isps,security certification schemes
Multimodal context and voice recognition for seamless voice control technology interfaces with low upfront cost (XMOS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-01-01
End date: 2021-03-31
Duration (months): 27.0
Total project cost (EUR): 2983500.0
EU funding (EUR): 2088450.0
Participants: 1
Project status: CLOSED

The “Internet of Things” is adding intelligent capabilities and connectivity to all kinds of objects in our environments. With potentially hundreds of smart devices surrounding us in our everyday, we need easier, more natural ways to interact with these technologies – which free our hands from controls, and help us put down our smartphones with their endless apps and distractions. While voice control is becoming a widely accepted alternative, it is not yet sufficiently robust and reliable for use in many situations. XMOS are playing a fundamental role in the development of a next generation of human-machine interfaces – using natural language, the highly-developed systems of speech and gestures etc. used when people communicate. Embedded within their customers’ consumer electronics, this will enable devices to recognise and understand us, reading context and quickly interacting like another person would – but anonymously and securely, using sound and radar. XMOS’ capabilities will drive new classes of voice controlled devices, with low upfront cost allowing ubiquitous deployment of voice control, and higher quality user experience. The experienced XMOS team has successfully commercialised their flexible XCore microprocessor, and is now focussed on voice interfaces as a high-growth sector. XMOS is already a leading provider of far-field voice interface technology, capable of separating a distant voice from noise in our living spaces, and has the most comprehensive portfolio of far-field voice interfaces. The H2020 project will enable the realisation of the next-generation in XMOS voice control technologies, including a reconfigured architecture with disruptively low upfront cost, and new context recognition capabilities. XMOS will target a serviceable addressable market for IoT devices of $4 billion (CAGR of 32%), including smart TVs and audio equipment, consumer appliances and automotive applications, growing revenue by 20-fold and creating over 200 jobs by 2024.

Keywords: voice control,multimodal context,voice recognition,consumer appliances,consumer electronics
Optimised auxiliary electronics system for quantum computing research (QCAUX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-03-01
End date: 2022-04-30
Duration (months): 26.0
Total project cost (EUR): 1395971.25
EU funding (EUR): 977179.88
Participants: 1
Project status: CLOSED

QDV makes standardised auxiliary electronic equipment that allows quantum computing (QC) R&D to control qubits at millikelvin (mK) temperatures in a dilution refrigerator (DR) and reduces noise and interference in the experiment. QDV electronics produce and send low-frequency signals through 48 channels, filters noise from signal channels, and holds the qubit sample inside the DR at 10mK. QDV technology lets researchers focus on qubit characterisation, and far less time and funding resources on constructing complex and expensive arrays of control electronics needed for qubit experimentation. The main bottleneck in QC is the technology used to characterise qubits. It is not upscaling with the number of qubits that can be integrated into a processor – up to 70. A single qubit may need up to 20 signal channels. Current options offer no more than 8 channels. The extra channels add unwanted thermal and electronic noise to the experimental system which undoes qubit superpositional states. QDV and its QCAUX electronics address this bottleneck directly. QDV will use Accelerator funding to improve the functionality of our QCAUX beta electronics, and add the features and functionalities indicated by the beta end users and the findings of the Phase I Feasibility Study. The outcomes will be a digital-analogue converter with up to 240 signal channels which transmit at up to 4.2GHz, an automated breakout box, an RF/RC filter with 100 channels, a new filter for superconductor qubit R&D, and a modular sample holder with mother and daughterboards that transmit signals up to 42GHz. End users can improve and upscale their R&D by using a standardised chain of electronic devices with up to 240 signal channels, and deploy staff time in quantum research and away from configuring in-house electronics. QCAUX will cost €68k, equivalent to what QC R&D teams spend per year on in-house electronics for a single DR.

Keywords: quantum computing,qubit,signal channel,electronics,high frequency,low noise,rc filter,superconductor filter,analogue digital converter,breakout box,dilution refrigerator