Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A customised low-cost ultralight aircraft for survey, filming and animal tracking in wild environments. (AIRSCAN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept 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: United Kingdom
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2018-09-01
End date: 2020-02-29
Duration (months): 18.0
Total project cost (EUR): 149526.0
EU funding (EUR): 149526.0
Participants: 1
Project status: CLOSED

This proposal draws on the extensive technical developments of Ad-G 323041 LOCATE to commercialise the know-how to build a low-cost aircraft with integrated aerial survey, filming and tracking technology capable of operating in low-infrastructure environments. These requirements are common to many applications and there is currently no affordable off-the-shelf solution. Our product is unique, providing a technologically-advanced integrated data collection system controlled by a single pilot. Modular technology enables buyers to select options relevant to their own operation and minimise start-up costs. With operating costs of approximately €30/hour, our product will make sophisticated aerial survey, filming and tracking accessible to researchers, NGOs, government and commercial operators, delivering impact through high-resolution, high-quality information at low cost for infrastructure survey (eg pipeline, rail/cabling and flood plain survey) and conservation (habitat change, wildlife density), land and habitat management (national parks, game reserves). This aerial survey platform fills a market niche between drones (limited by payload and range) and commercial operations (high cost, require infrastructure, lack of flexibility). We will: DOCUMENT the structural modifications and specification for fitting out the aircraft with the equipment payload specified; REFINE the on-board systems set-up and mission planning system; DOCUMENT the options for modular on-board technology; DEVELOP a costing model for building, equipping, fitting out and operating the aircraft and licensing of IP; UNDERTAKE market analysis and research and communicate with potential suppliers and users; PREPARE a comprehensive portfolio for uptake by potential commercial partners. The project team includes three aviation/industry members experienced in bringing innovative technologies to this market.

Keywords: research aircraft,aerial survey,conservation,habitat management,photogrammetry,lidar,aerial tracking,animal tracking
Intelligent Theatrical Distribution System (ITDS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Digital and mobile society is threatening movie theatre industry. Users demand more content. Spectator behaviour is evolving to event-based experiences, single-day screenings and alternative contents. The classical approach misses all the customer info about due to poor traceability. Traditional targeting at theatres instead of distributors complicates the movie industry digitalization, as there is no way to manage such complex theatrical environment worldwide. ITDS is a smart movie distribution solution consisting of an Artificial Intelligence engine and predictive analysis (logistics regression and decision trees) working on multiple data sources in order to: (i) provide a prediction of box office results in an online platform; (ii) connecting movie theatres to the audience and (iii) suggesting the best movie schedule for each theatre, geographical location, audience gender & age, etc. It provides customers (Movie owners & theatres) with a higher success rate (direct link between all stakeholders), low risk (revenue share model) and maximal ROI/box office, thanks to our marketing and focus on the long tail. It reaches to a new audience (35% our users do not frequently go to movie theatres). For end users (audience) it will increase the movie offering available in theatres by 98% and provide better interactivity and communities. ITDS will help Movieday in our international expansion to EU countries, nearly €200M revenue over 5 years and the creation of 158 additional qualified jobs by 2025. Movieday is an Italian start-up, founded in 2014, fully dedicated to ITDS, its core project. It secured €600k support from public/private organizations and has a team of 10 movie industry and business professionals. Company turnover in 2017 was €250k and the company got €500k VC investment in Dec 2018.

Keywords: long tail business models,innovative business models,theatre industry,movie distribution,audience
Construction & Environmental Biocementation in REal World Applications (CEBREWA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Switzerland
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-02-01
End date: 2022-07-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

CEBREWA (Construction & Environmental Biocementation in REal World Applications) tackles the emerging ground stabilisation problems which are becoming increasingly pressing in construction and environmental engineering. Ground stabilization mitigates stability risks associated with geohazards, such as earthquakes, soil erosion, and landslides. Such problems are expected to be further intensified by extreme weather and aging infrastructure. Traditionally, ground stabilization is applied to roads, railroads, airfields, embankments, reservoirs, bank protection, canals, dams, and coastal engineering. Rapid urbanization, particularly in developing regions, is fuelling the ground stabilization market growth. This is primarily due to: (i) the scarcity of suitable land for development and (ii) the need to extend existing infrastructure (typically by building more floors, and therefore increasing the loads sustained by foundations) to support increasing populations in urban zones. The mineral additives & stabilizing agents segment currently accounts for the largest share in the ground stabilization market. Mineral & stabilizing agents include, amongst others, cement, lime, fly ash, and polyurethane resins. This market has not been disrupted for decades, with current solutions complex and expensive, mainly due to the heavy equipment required for their application, and often hazardous to the environment, as they rely on the extensive use of industrial fluids or microplastics. The ERC-funded project BIOGEOS (grant agreement 788587) focuses on bio-mediated, nature-inspired ground reinforcement (bio-cementation). The goal is to develop and master the complete, industrial-scale system which will allow fast and reproducible ground bio-cementation applications. The PoC is expected to result in IP consolidation, scaling-up of production through outsourcing and demonstration of value created for end-users.

Keywords: geotechnics,natural hazards,biomineralization,bio geo chemistry,soil stabilisation
Novel InteGrated toolkit for enhanced pre-Hospital life support and Triage IN challenGing And Large Emergencies (NIGHTINGALE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Increase Europe's resilience to crises and disasters
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Spain,Italy,Italy,Israel,Italy,Germany,Spain,Ireland,Greece,Sweden,Greece,Greece,France,France,Luxembourg,Portugal,United Kingdom
Call: Technologies for first responders (H2020-SU-SEC-2020, 2020)
Start date: 2021-10-01
End date: 2024-09-30
Duration (months): 36.0
Total project cost (EUR): 8831477.5
EU funding (EUR): 8831477.5
Participants: 26
Project status: SIGNED

In a world where disasters and crises also evolve and cross boundaries with speed and ease , their complexity and magnitude increase, and societal repercussions often reach severe scales, it is imperative to increase citizens’ upkeep and feeling of safety and provide affected people the top-level healthcare that modern technology and current civil protection systems can offer. However, today’s emergency medical services and non-medical civil protection practitioners in a mass casualty incident scene, striving to save lives and nursing the injured, often have to rely on complicated or even outdated procedures (multiple protocols or lack of homogeneity in response methods and guidelines) and technology of the past. NIGHTINGALE will develop, integrate, test, deploy, demonstrate and validate a Novel Integrated Toolkit for Emergency Medical Response (NIT-MR) which ensures an upgrade to Pre-hospital life support and Triage. This will comprise a multitude of tools, services and applications required for 1) upgrading evaluation of injured and affected population and handle casualties (Triage) by offering them the means to perform digital identification, allow traceability, support fast diagnosis and prognosis and continuous monitoring and enable accurate classification of medical condition; 2) optimising pre-hospital life support and damage control through AI-based tracking, tracing, routing and utilisation enhancements of assets, resources and capacities as well as enabling continuous monitoring and correlation of vital signs and actions; 3) allowing shared response across emergency medical services, non-medical civil protection personnel, volunteers and citizens. The NIT-MR is provided at the service of the emergency medical services, non-medical civil protection personnel, volunteers and citizens for extensive testing, training and validation in the framework of a rich Training and Validation Programme of 5 Round Tables, 3 TTXs, 1 Laboratory Integration and 3 FSXs.

Keywords: upgrade pre hospital life support and triage,digital identification,traceability,fast diagnosis and prognosis,vitals monitoring,ai based tracking,tracing,assets resources optimisation
A computational tool to elucidate the mechanobiological regulation of limb development (COMPLIMB)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-06
End date: 2022-05-05
Duration (months): 36.0
Total project cost (EUR): 245732.16
EU funding (EUR): 245732.16
Participants: 2
Project status: CLOSED

Understanding the roles of motion and mechanotransduction in joint formation holds promise for the study and treatment of joint deformities in humans. Joint development has been widely studied in axolotls (Ambystoma mexicanum), as these animals regrow whole limbs throughout their life. Axolotl limbs are morphologically similar to human limbs and utilize the same biological rubrics as ontogenic growth. To draw from the therapeutic potential of these similarities, we propose to build a multi-scale multi-physics computational model for the prediction of vertebrate limb development. Our model will be based on in vivo data obtained using novel imaging techniques via NSF-funded experiments on axolotl limb growth, and will be utilised to determine the physical mechanisms of normal and pathological joint morphogenesis. To this end, in AIM 1 we will build a finite element model of growth at the tissue level to study how specific changes in limb motion regulate joint morphology. Next, in AIM 2 we will build a model of growth at the molecular level to determine how biochemical and biomechanical signalling pathways interact during normal and pathological joint development. Finally, in AIM 3 we will integrate both experimental and computational data from the different length scales into a single multi-scale mechano-biochemical model of vertebrate limb growth. A computational model that links the biomechanics and biochemistry of normal and pathological limb development at the subcellular, cellular and tissue scales is a powerful predictive tool. We envisage this tool will be utilised to optimise treatment therapies for joint deformities and better inform the preventive screening of congenital defects in humans.

Keywords: finite element analysis,multiscale modelling,constitutive modelling,computational biomechanics,mechanobiology,joint morphogenesis,growth,mechanosignalling,axolotl
Unravelling cross-presentation pathways using a chemical biology approach (Crosstag)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-05-01
End date: 2020-04-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

Immune therapies are therefore currently being pursued to reinvigorate the immune reaction against tumours. This is not trivial, as the right type of immune cells must be activated against a tumour-specific antigen. One method to achieve this is by targeting tumour antigens to certain cross-presentation-promoting receptors on antigen presenting cells. The most intriguing of these is the mannose receptor (MR) as the method by which it does this is unknown. This glycoprotein-binding receptor appears to have two functions on APCs: general uptake-enhancement and, in certain isolated cases, cross-presentation-enhancment. What ligand parameters are important in causing cross-presentation enhancement is not known. Current tools, such as anti-MR antibodies and randomly glycosylated ligands fail to selectively enhance cross-presentation. The main aim of this proposal is to determine what structural parameters of the glycoprotein antigen result in enhanced cross-presentation upon MR-ligation. I will synthesise a library of biologically traceable single glycoform ligands - with controlled variation in glycan nature, stoichiometry and positioning - for the MR and study differences in uptake, routing and antigen presentation. A 2nd aim is to uncover what happens to the antigen after uptake by the MR. I.e. whether changes in antigen routing and proteolysis are responsible for enhanced cross presentation of different glycoforms. A 3rd aim is to develop a new method to study the kinetics of surface appearance of epitopes without T-cell reagents to quantify differences between glycoforms. With this approach I aim to gain new insight into methods for enhancing cross-presentation resulting in improved immune therapies against cancer. My background in carbohydrate and protein modification chemistry will provide the toolkit to synthesise the relevant reagents and my background in immunology will ensure the successful immunological validation of the synthetic single glycoforms.

Keywords: antigen cross presentation,bioorthgonal chemistry,mannose receptor,cancer immunotherapy
Role of IFN-β in mitochondrial homeostasis and impact on Parkinson Disease (IFNBetaMito)

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: Denmark
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 212194.8
EU funding (EUR): 212194.8
Participants: 1
Project status: CLOSED

Parkinson disease (PD) is the most common progressive neurodegenerative movement disorder. Two prominent pathological features are associated with the neurological lesions: the appearance of cytoplasmic inclusion bodies called Lewy bodies, and defective mitochondria. Despite recent progress in understanding the pathogenesis of PD, no curative treatments are available. The host laboratory has very recently found a novel mechanism leading to PD: mice lacking interferon (IFN)-β (Ifnb–/–) or its receptor (Ifnar–/–) display spontaneous neurodegeneration and experience behavioral deficits resembling PD. In particular, Ifnb–/– neurons show mitochondrial defects with accumulation of defective mitochondria. The overall goal of this proposal is to determine the molecular mechanisms of mitochondria homeostasis controlled by IFN-β and how this is involved in PD. 1. I will characterize precisely the mitochondrial defects found in Ifnb–/– mice using a combination of 3D and 4D microscopy and biochemistry analysis. 2. I will identify the protein dynamics involved in the IFN-β regulation of mitochondria homeostasis, using proteomic analysis complemented by microscopy and biochemical studies on engineered cells. 3. I will determine the importance of this pathway in the physiopathology of PD by studying the impact of IFN-β on mitochondria in murine brains and using engineered mitochondrial transfer. The accomplishment of this project will provide new insights into IFN-β regulation of neuronal homeostasis and highlight novel drug targets for future therapy development against PD. The project will be supervised by Pr Shohreh Issazadeh-Navikas, a world-leading expert in the field of IFN-β signalling pathway. Through this work, I aim to broaden my scientific expertise by acquiring numerous technical and transferable skills and to establish myself as an independent researcher in the field of cell biology of proteinopathies.

Keywords: interferon beta,mitochondria,parkinson disease
A Scalable and Elastic Platform for Near-Realtime Analytics for The Graph of Everything (SMARTER)

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: Germany,Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-04-20
End date: 2018-04-19
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 2
Project status: CLOSED

The SMARTER (A Scalable and Elastic Platform for Near-Realtime Analytics for The Graph of EveryThing) project aims to build a platform that provide the ability to derive actionable information from enormous amount of data generated by the Internet of Everything to leverage data-driven strategies to innovate, compete, and capture value from deep web and real-time information. The project targets innovative research outcomes by addressing Big Dynamic Data Analytic requirements from three relevant aspects: variety and velocity and volume. The project introduces the concept, “Graph of Everything” (GoT), to deal with the issue of data variety in data analytics for Internet of Things (IoT) data. The Graph of Everything extends Linked Data model (RDF ), that has been widely used for representing deep web data, to connect dynamic data from data streams generated from IoT, e.g. sensor readings, with any knowledgebase to create a single graph as an integrated database serving any analytical queries on a set of nodes/edges of the graph, so called, analytical lens of everything. The dynamic data represented as Linked Data Model, called Linked Stream Data, may contain valuable, but perishable insights which are only valuable if it can be detected to act on them right at the right time. Moreover, to derive such insights, the dynamic data needs to be correlated with various large datasets. Therefore, SMARTER has to deal both the velocity requirements together volume requirements of analysing GoT to make the platform able support near-realtime analytical operations with the elastically scalability.

Keywords: data analytics,internet of things,linked data
How does future thinking work? Uncovering its evolutionary and developmental origins (MTT)

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: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Time is always moving forward. However, humans can remember past events (e.g., our last holiday), and imagine and plan for events that have not happened (e.g., our next job interview); that is, we can mentally travel back into our past (i.e., episodic memory) and our future (i.e., future thinking). Having a comprehensive picture of this capacity involves not only studying Mental Time Travel (MTT) in humans but also in non-human animals. Due to conceptual and methodological limitations, the field of MTT is still in its infancy. Comparative and interdisciplinary studies—involving more than one animal species— are needed to understand the evolution and development of this capacity. I aim to address this issue by developing two novel empirical approaches to test how non-human primates (chimpanzees), corvids (rooks) and human children use information about past events to think and imagine future events. The results of this research will provide crucial insights for theories of cognitive development (e.g., the relation between theory of mind, executive functioning and mental time travel) and human evolution (e.g., the role of mental time travel in humanity’s ability to build upon knowledge or skills generation after generation). In this sense, broadening my theoretical background and acquiring new methodological skills (e.g., testing new animal species)—as I plan to do during this fellowship—will be of crucial importance for me to further develop my career.