Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Soft-Bioelectrochemistry for Artificial Respiratory Chain (SoftBioArt)

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: Chemistry
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2023-10-31
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: SIGNED

All cells contain tiny molecular motors made from a large family of proteins including enzymes and antibodies that help the cell produce energy, move, and move material inside the cell. While several biomolecular motors have been identified, the remaining challenges are determining how these species transfer information from one region of a motor to another and how the malfunctioning of these can lead to the development of several diseases. One timely example is the detrimental effect that a disrupted mitochondrial electron transport chain (ETC) can produce in human beings (e.g., cancer, neurodegeneration, heart failure). The SoftBioArt project will explore a new paradigm in ETC by achieving an efficient inter-protein electron transfer at electrified soft-interfaces and to using this platform to pinpoint any weak points for possible electron leakage during the ETC. The SoftBioArt program will result in a new platform bringing biomimetic modified soft-interfaces to a new level, to demystify one of the most relevant living machines within mitochondria (respiratory ETC) where any malfunctioning is linked to the development of several chronic human diseases. Thus, the SofBioArt program will develop model membrane systems that will serve as scaffolds harbouring protein and enzymes of the ETC at soft-interfaces maximizing the electron transfer efficiency at an electrified soft-interface. The SoftBioArt project pushes the boundaries of the current state-of-the-art of bioelectrochemistry at soft-interfaces to determine if this unexplored system can bridge the gap between solid electrode bioelectrochemistry and living systems.

Keywords: bioelectrochemistry,soft electrochemistry,electrochemistry at liquid liquid interfaces,electron transport chain,membrane proteins,cancer,neurodegeneration,cytochrome
Automotive EGNSS Receiver for High Integrity Applications on the Drive (InDrive)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Innovation actions
Countries involved: Germany,Italy,Italy,Germany,Türkiye
Call: EGNSS applications (H2020-Galileo-2015-1, 2015)
Start date: 2016-01-01
End date: 2017-12-31
Duration (months): 24.0
Total project cost (EUR): 2921125.0
EU funding (EUR): 2435312.0
Participants: 7
Project status: CLOSED

The main objective of this project is to develop and demonstrate innovative close-to-market applications, which are heavily relying on accurate and high integrity satellite navigation. To achieve the full potential of advanced satellite positioning, an integrated solution starting from low-level signal processing to high-level data fusion will be proposed to get a continuous probabilistic positioning of high integrity. InDRIVE will demonstrate the future use of mass-market GNSS, targeting automotive applications with high demands for integrity by creating a framework that specifies the requirements for data acquisition, signal tracking and data fusion in order to guarantee the proper handling of positioning data. This approach introduces an innovative integrity framework, allowing the applications to comply with their specified false alarm rates. InDRIVE will target several applications in the area of Advanced Driver Assistance Systems (ADAS) and future Intelligent Transportation Systems (ITS) based on different positioning requirements. Both connected and non connected vehicles will be considered. The innovation of this project stands in the adoption the EGNSS localization for automated manoeuvres in automotive applications: EGNSS will be used not only for positioning but also to estimate the confidence of the position. In order to meet the requirements for each use case, a new technology will be introduced for the computation of confidence. As a result, the solution will guarantee the compliance of the use cases in terms of false alarm rates and accuracy. In practice three areas will be defined (red, yellow and green):within the red area, safety critical applications (as emergency breaking) will operate. The extension to the yellow area will meet the requirements for warning based applications with lower time to collision demands. The green area represents the informative applications, like traffic or weather information.
Forum for Bio-Based Innovation in Public Procurement (InnProBio)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Coordination and support actions
Countries involved: Germany,Germany,Germany,Poland,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Public procurement networks on innovative bio-based products (H2020-ISIB-2014-1, 2014)
Start date: 2015-03-01
End date: 2018-02-28
Duration (months): 36.0
Total project cost (EUR): 1971805.75
EU funding (EUR): 1964868.5
Participants: 8
Project status: CLOSED

InnProBio aims to build a community of public procurement practitioners interested in Public Procurement of Innovation (PPI) with Bio-Based Products and Services (BBPS). The community will be supported by online network facilities. Based on stakeholder identification and needs assessment the project consortium will develop an elaborated and legally solid toolbox which will assist public procurers to inform themselves about BBPS and ultimately provide all relevant information to prepare an actual tender. The toolbox will be used for capacity building activities including trainings for public procurers and decision makers, market dialogues and exchanges with standardization experts. It will furthermore be presented in an online decision support tool and a multilingual handbook. The workshop and dialogue concept for trainings can subsequently be used throughout Europe. Recommendations for decision makers and standardization bodies on how to support PPI of BBPS in order to boost innovation in Europe’s bioeconomy will be provided. Feasibility of an cross-national buyers group of public procurers on the innovation procurement of BBPS will be assessed. Based on a dissemination and exploitation strategy, project results will be communicated through various channels to the relevant target groups (public procurers, public decision makers, business, standardization bodies and NGOs). Specific groups will be set up on the Procurement Forum (www.procurement-forum.eu). The community will be one channel to share and distribute project results. Via the integration of the project and its products into the existing Procurement of Innovation Platform (https://www.innovation-procurement.org/), the project results will be sustainable. Integration of the bio-based products section is a win-win situation for the existing platform and for the bio-based products sector who as a newcomer can profit from existing infrastructure and knowledge.

Keywords: public procurement,bio based products,bioeconomy,innovation
Tailored cell-based therapies for frontotemporal dementia and related genetically defined CNS orphan indications (iProg)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Sinfonia Biotherapeutics is a high-tech biotechnology company. Our vision is to become a main driver in technology innovation for CNS medicine, where we lay the frame-work for entirely novel therapeutic concepts and solutions that combat the unmet medical need of severe CNS conditions, ultimately transforming patient lives. We are developing targeted therapies for genetically defined CNS orphan indications that are built on a proprietary medical device – the Brain Repair Device - that overcome several of the existing challenges associated with the failing clinical development of drug candidates for neurodegenerative diseases today. The BRD is an implantable device that allows for the in situ production of our therapeutic biologics resulting in desired CNS exposure, while the systemic exposure of the therapeutic factor is negligible. We are developing a new generation of tailored biologics for genetically defined disease/patient populations that target the disease locally in the brain. With our therapies we are thus reaching the right patient, with the right treatment, in an efficacious and safe manner. Through the SME Instrument, we will focus on further developing iProg, a novel neurotrophic therapy that restores progranulin levels in the brain of patients that suffer from frontotemporal degeneration due to mutations in the PGRN gene (FTD/PGRN), which results in lower progranulin production and is disease-causative. We will use the SME Instrument funding (Phase 1&2) to prepare and conduct PhaseI/IIa studies to explore the safety and detect the first signals of efficacy of iProg. If successful, the project will set new standards on the biologics for neurodegenerative disease market, paving a way to growth and new potential partnerships for Sinfonia. Our disease-modifying therapies have the potential to leverage an important framework for therapeutic development in neurodegenerative disorders in general and thereby to become real game changers in CNS medicine.

Keywords: gene therapy,biodelivery,biologics
A new innovative method for diabetes treatment, the artificial pancreas system (MedicSen)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Spain
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2018-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

There is a very well-known worldwide problem in the management of chronic diseases and high costs associated to its control resulting in a poor service. Different studies prove how m-health (telemonitoring, apps and sensors) facilitate better understanding and management of the disease. Diabetes is one of the major examples of these facts. MEDICSEN has patented an innovative methodology to personalize the management of chronic diseases that will reduce its socio-economic impact. MEDICSEN is based on continuous monitoring, daily friendly interaction with the patient, and personalized therapies through needle-free drug dispenser. MEDICSEN aim to promote the necessary change in the structure of treatment of chronic diseases, leading the transformation movement towards personalized telemedicine and therefore improving control and reducing spending on such common diseases as cardiovascular, diabetes or obesity. The first case study of technological and commercial application for this general system environment is performed for diabetes but keeping the intention of adapting it to other chronic diseases in the future. Then, MEDICSEN is responsible for modifying the patient glucose curve analysis according to his/her usual behaviour and the value of various parameters (such as temperature, blood pressure or heart rate), thus adjusting the treatment specifically for each individual context and for each moment so the patient can release his/her mind from the dose calculations. The project has a relevant European Dimension. Chronic diseases represent a significant burden on individuals and healthcare systems in the European Union and beyond. The accomplishment of the objectives will result in an EBITDA of 102M€ in five years after put into market MEDICSEN (from € 0.7M in 2017) and an increase of the company size (from 7 to 100 employees).

Keywords: chronic disease,artificial intelligence,mobile,needle free patch,diabetes
Simulation-Driven and On-line Condition Monitoring with Applications to Aerospace (SiMAero)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-10-01
End date: 2020-09-30
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

The proposed project aims at combining advanced numerical techniques for the modeling of damage to Structural Health Monitoring (SHM) methods to provide tools for the on-line detection of damage in aircraft structures. Two cases will be considered: the detection of damage in advanced stages in operating conditions and the detection of damage in early stages in parked conditions. The extended finite element method (XFEM) along with model order reduction (MOR) techniques will be employed for the modeling of damage while detection process will be based on vibration measurements. For the in-flight detection case the operating loads will be estimated as well. The developed tools will be tested initially in simulated damage detection scenarios and subsequently in experimental setups.

Keywords: extended finite element method,model order reduction,structural health monitoring
Vocal and visual mechanisms behind coordinated group movement (GROUP MOVEMENT)

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-2017, 2017)
Start date: 2018-05-15
End date: 2020-05-14
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Anthropogenic noise is ubiquitous across the world and, aside from other negative effects, causes declines in abundance and species richness in birds. How anthropogenic noise does this is not yet well understood, although it is probably because anthropogenic noise disrupts biologically important signals. One such important signal that has received considerable attention in primates and cetaceans but little in birds are calls used to coordinate group movement. Historically, research examining collective movement has focused on free-flying murmurations to determine how individuals’ behaviour impacts group movement. However, these models do not include visual and physical impediments that occur in many habitats (i.e. forests) and assume that information is transferred by visual, not vocal cues. Conversely, research examining vocalizations in groups, has focused on correlations between group movement and vocal behaviour, not accounting for effects of the movement and vocal behaviour of all individuals on their neighbours. To establish the mechanisms behind how birds use vocalizations to coordinate group movement, and the effect of anthropogenic noise on their ability to do this, I will combine a vocal communication approach with the mathematical modelling of collective movement to analyse fine-scale 3D spatio-temporal data collected from starling flocks in semi-natural conditions to determine: (1) what vocalizations are used during group movement; (2) how birds use vocalizations to coordinate group movement; and (3) how anthropogenic noise affects a flock’s ability to coordinate group movement. These data will establish a fundamental understanding of how vocalizations mediate group movement allowing for us to determine the impact of anthropogenic noise on this behaviour, and will provide the foundation for further study into other vocally mediated behaviours.

Keywords: ecology
Cross-layer cognitive optimization tools & methods for the lifecycle support of dependable CPSoS (CPSoSaware)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Israel,Spain,Italy,Cyprus,Switzerland,Finland,Greece,Greece,Poland,Greece
Call: Computing technologies and engineering methods for cyber-physical systems of systems (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2022-12-31
Duration (months): 36.0
Total project cost (EUR): 4999987.5
EU funding (EUR): 4999987.5
Participants: 14
Project status: CLOSED

Cyber-physical Systems of Systems (CPSoS) are large complex systems where physical elements interact with and are controlled by a large number of distributed and networked computing elements and human users. Their increasingly stringent demands on reduction of emissions, efficient use of resources, high service and product quality levels and, of course low cost and competitiveness on the world market introduce big challenges related to the design operation continuum of dependable connected CPSs. CPSoSaware project aims at developing the models and software tools to allocate computational power/resources to the CPS end devices of the System by determining and generating autonomously what cyber-physical processes will be handled by a device’s heterogeneous component (processor cores, GPUs, FPGA fabric, software stacks). The CPSoSaware solution will rely on Artificial Intelligence support in order to strengthen reliability, fault tolerance and security at system level but also will be able to lead to CPS designs that work in a decentralized way, collaboratively, in an equilibrium, by sharing tasks and data with minimal central intervention. Also, the CPSaware system will interact with the human users/operators through extended reality visual and touchable interfaces increasing situational awareness. The CPSoSaware system will be evaluated : i) in the automotive sector, in mixed traffic environments with semi autonomous connected vehicles proactively passing the dynamic driving task back to the human driver, whenever system limits are approached and ii) in the manufacturing industry we consider inspection and repair scenarios using collaborative robots passing the control tasks to the operator, in critical situations. The impact of such a holistic and and innovative approach is huge and the foundations laid here are expected to result in a widespread adoption of CPSoS in a larger number technology sectors.
Intelligent Vision System for Improved Communication and Higher Productivity in Construction (EVERCAM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ireland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2020-01-01
End date: 2020-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Evercam seek to combine the power of Machine Learning with their extensive network of time-lapse cameras on construction sites to bring disruptive performance benefits to the construction industry. In this proposal, we explain the many ways in which data from construction cameras can impact this under-digitalised industry and why Evercam is in a uniquely strong position to deliver this innovation. With over 200 years of video recorded and a technical team who have already delivered a working vision analytics model, the time has come to bring this exciting technology to market. A feasibility study proposed here will result in the development of a strategic business plan for commercialisation.

Keywords: computer vision,intelligent vision systems,construction productivity,management systems
DARIAH ERIC Sustainability Refined (DESIR)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Coordination and support actions
Countries involved: Germany,Germany,Spain,Israel,Switzerland,Belgium,Finland,Poland,Switzerland,Serbia,France,France,Czechia,United Kingdom,United Kingdom,United Kingdom,Portugal
Call: Individual support to ESFRI and other world-class research infrastructures (H2020-INFRADEV-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 2717320.0
EU funding (EUR): 2717320.0
Participants: 18
Project status: CLOSED

Europe has a long and rich tradition as a centre for the arts and humanities. However, the digital transformation poses challenges to the arts and humanities research landscape all over the world. Responding to these challenges the Digital Research Infrastructure for Arts and Humanities (DARIAH) was launched as a pan-European network and research infrastructure. After expansion and consolidation, which involved DARIAH’s inscription on the ESFRI roadmap, DARIAH became a European Research Infrastructure Consortium (ERIC) in August 2014. The DESIR project sets out to strengthen the sustainability of DARIAH and firmly establish it as a long-term leader and partner within arts and humanities communities. By DESIR’s definition, sustainability is an evolving 6-dimensional process, divided into the following challenges: Dissemination: DESIR will organise a series dissemination events, including workshops in the US and Australia, to promote DARIAH tools and services and initiative collaborations. Growth: DESIR sets out to prepare the ground for establishing DARIAH membership in six new countries: the UK, Finland, Spain, Switzerland, Czech Republic and Israel. Technology: DESIR will widen the DARIAH research infrastructure in three areas, vital for DARIAH’s long-term sustainability: entity-based search, scholarly content management, visualization and text analytic services. Robustness: DESIR will make DARIAH’s organizational structure and governance fit for the future and develop a detailed business plan and marketing strategy. Trust: DESIR will measure the acceptance of DARIAH, especially in new communities, and define mechanisms to support trust and confidence in DARIAH. Education: Through training and teaching DESIR will promote the use of DARIAH tools and services. The DESIR consortium is composed of core DARIAH members, representatives from potential new DARIAH members and external technical experts. It is balanced between the different European regions.

Keywords: research infrastructure,eric,digital humanities,sustainability