Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Intelligent active protection system for motorcyclists: saving lives through optimum use of latest advances in sensor technologies, wireless communication, smartphone platforms, real-time analysis (INE IAPS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-06-01
End date: 2018-05-31
Duration (months): 24.0
Total project cost (EUR): 1748468.75
EU funding (EUR): 1223928.13
Participants: 1
Project status: CLOSED

The risk of fatalities or sustaining serious injuries in motorcycling accidents is poorly addressed by the existing body protection devices available to that community. They lack in reactivity characteristics and offer limited protection to the most affected parts of the body. Combining advances in sensor technologies, wireless communication and Smartphone platforms in particular, In&motion is set to revolutionise the market with their intelligent active protection system. With an ultra-high energy absorption capacity and a much wider protection area, their all-electronic system further differentiates itself from competitor products with its auto-learning capability: the more it is used the better it performs. With a business-to-business approach, In&motion joins forces with key European motorcycling garments manufacturers who recognise the need for their specialised clothes to become intelligent and highly protective. The technology is therefore fully integrated into the clothing, making it very convenient for the user. To further simplify the user’s experience, In&motion’s other innovation lies in the ability for the user to reactivate the device after deployment, thanks to easy-to-handle consumable parts. This provides a significant step change in accessibility, dispensing and affordability for the user. With European motoring legislations set to further impact the market potential for body-protection devices, In&motion’s solution is bound to be truly disruptive. The technology has already been highly acclaimed by ski athletes and the International Ski Federation, and In&motion have high ambitions to see that technology also used in other areas such as drone protection, senior’s health and well-being, and work at height.

Keywords: airbag motorcycling intelligent active personal protection accident life saving sensors algorithm real time wireless communication smartphone skiing drone feedback loop
Integration and adaptation of impaired mitochondrial fitness in orchestrating T cell dysfunction in the tumor microenvironment (MitoGuide)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2024-01-31
Duration (months): 60.0
Total project cost (EUR): 1499990.0
EU funding (EUR): 1499990.0
Participants: 1
Project status: SIGNED

Cancer immunotherapies harnessing the tumoricidal activity of tumor-reactive T cells represent a major breakthrough in the current paradigm for treating cancer patents. However, the highly immunosuppressive tumor microenvironments found in solid tumors present challenges by restricting the tumoricidal functions and metabolic fitness of infiltrating tumor-reactive T cells. Given that the activation-induced metabolic switch is tightly intertwined with T cell activities, restoring the metabolic fitness of T cells represents a promising strategy for strengthening anti-tumor immunity. However, the success of this strategy relies on our understanding of the underlying mechanisms utilized by tumor cells to abolish the metabolic fitness of T cells, and of how metabolic programming controls T cell functions. Based on our preliminary results, we postulate that tumor cells disrupt the mitochondrial dynamics of tumor-infiltrating T cells by interrupting mitophagy. This causes a metabolic crisis for the infiltrating T cells in sustaining their metabolic fitness and flexibility. Furthermore, we hypothesize that declined mitochondria-derived retrograde signals resulted from mitochondrial dysfunction may lead to T cell dysfunction/exhaustion and altered immune responses through epigenetic reprogramming and altered proteome-metabolic regulatory circuits. The objectives of this proposal are to delineate how tumor cells influence the mitochondrial dynamics of T cells and define the unexplored immunometabolic regulations of T cell functions that are controlled by mitochondria. Lastly, we aim to new methods to restore missing retrograde signals in T cells, which could allow them to prevent mitochondrial dysfunction-induced epigenetic and transcriptomic changes. This work represents an entirely new perspective on control of T cell functions by the immunosuppressive tumor microenvironment, and it may reveal new dimensions of immunometabolic regulation.

Keywords: immunometabolism,mitochondria,epigenome
Exploring National and Global Actions to reduce Greenhouse gas Emissions (ENGAGE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Fighting and adapting to climate change
Action type: Research and Innovation actions
Countries involved: Italy,Indonesia,India,Germany,Italy,Austria,Germany,Austria,Hungary,China,Russian Federation,Thailand,Korea, Republic of,Greece,Netherlands,Netherlands,Netherlands,Japan,Viet Nam,Brazil
Call: Supporting the development of climate policies to deliver on the Paris Agreement, through Integrated Assessment Models (IAMs) (H2020-LC-CLA-2018-2, 2018)
Start date: 2019-09-01
End date: 2023-12-31
Duration (months): 52.0
Total project cost (EUR): 7089831.11
EU funding (EUR): 7089831.109999999
Participants: 27
Project status: SIGNED

As the world faces the risks of dangerous climate change, policy-makers, industry and civil society leaders are counting on Integrated Assessment Models (IAMs) to inform and guide strategies to deliver on the objectives of the Paris Agreement (PA). ENGAGE rises to this challenge by engaging these stakeholders in co-producing a new generation of global and national decarbonisation pathways. These new pathways will supplement natural science, engineering and economics, traditionally represented in IAMs, with cutting-edge insights from social science in order to reflect multidimensional feasibility of decarbonisation and identify opportunities to strengthen climate policies. The pathways will be designed to minimise overshoot of the temperature target and analyse the timing of net-zero emissions to meet the Paris temperature target and reduce the reliance on controversial negative emissions technologies. In addition, they will link national mitigation strategies of major emitters with the PA’s objectives, integrate potential game-changing innovations, and advance conceptually novel approaches to architectures of international climate agreements. ENGAGE will also quantify avoided impacts of climate change, co-benefits and trade-offs of climate policy, and identify the biggest sectoral opportunities for climate change mitigation. In ENGAGE, we will set new standards of transparency for global and national IAMs. The new pathways will be developed in an iterative global and national stakeholder process and a consortium of leading global and national IAMs and social scientists. This co-production process ensures that the pathways are credible, legitimate, and rooted in concrete policy and industry experience, making them relevant to inform the 2023 global stocktake and feed into the mid-century strategies of major emitters.

Keywords: global stocktake,mid century strategies,mitigation,climate policy,integrated assessment,emissions reductions,global and national pathways,politically feasible,socio economic impacts,sdgs
Identification of Phytophthora resistant beech trees by composition of endophyte communities, lesion formation and phenomics approaches. (RESISTREE)

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: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-01-01
End date: 2022-01-29
Duration (months): 24.0
Total project cost (EUR): 203852.16
EU funding (EUR): 203852.16
Participants: 1
Project status: CLOSED

Invasive alien pathogens and emerging infectious diseases are an unprecedented threat to the capacity of European forests to supply the growing bioeconomy with renewable biomass, carbon sequestration and other essential ecosystem benefits. To strengthen the biosecurity against these pathogens, new, science-based and socially acceptable forest protection solutions need to be developed. The research in RESISTREE will target central knowledge gaps related to a crucial phase of a biological invasion, the establishment phase. Specifically, RESISTREE will deliver in-depth information about the host phenotypic traits and associated mycobiome that can suppress establishment of the invasive Phytophthora-species (Oomycetes) on one of the key stone species of European forests, the European beech (Fagus sylvatica L.). We will test hypotheses about (1) H1 - Endophyte assemblages differ between healthy and Phytophthora-infected beech trees; (2) H2 - Certain endophytic fungi (individual species or groups) limit the growth of Phytophthora-species through different mechanisms; (3) H3 - Lesion formation in beech tissues depends on the quality or quantity of endophytic infections in the tissue; and (4) H4 - Phytophthora root infection influences the growth and morphology of seedlings before visible symptoms (chlorosis,lesions) appear. RESISTREE combines theory and methods from ecology, cell biology, mycology and forest pathology, resulting in an original, multidisciplinary research with high potential for ground-breaking findings. RESISTREE will promote transfer of knowledge between academia and the private sector, resulting in an interdisciplinary project. RESISTREE adheres to priorities of the H2020 program, and follow the European recommendations included in the Directive 2009/128/EC, which calls for non-chemical methods of plant protection.

Keywords: microbiome,forest pathology,phenotype microarrays,phenome,microscopy,host pathogen interaction,biological control
Large Deviations and Rare Transitions in Turbulent flows (TransTurb)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-12-01
End date: 2019-11-30
Duration (months): 24.0
Total project cost (EUR): 123138.0
EU funding (EUR): 123138.0
Participants: 1
Project status: CLOSED

Many out-of-equilibrium systems undergo transitions from one quasi-stationary state to a radically different one. Turbulent flows, for instance, exhibit sudden switches between attractors. It is crucial to understand this phenomenon, both for theoretical reasons and for potential applications to industrial or geophysical flows. Indeed, abrupt transitions or tipping points are a critical component of climate dynamics, which is a topic of major importance for society as a whole, in addition to being a scientific subject of uttermost current interest. Over the past decades, outstanding progress has been achieved in non-equilibrium statistical physics thanks to the theory of large deviations, which provides a natural generalization of the core concepts of equilibrium statistical mechanics: like entropy or free energy, large deviation rate functions encode all the relevant statistical information about an observable, such as its most probable values but also the probability of small and large fluctuations and the transitions between steady-states. However, large deviation computations have been up to now mostly restricted to relatively simple systems. This project will further develop cutting-edge analytical and numerical tools to compute large deviations in complex systems such as turbulent flows and the climate. The new ingredients we will consider are on the one hand, time-dependent attractors, and on the other hand, a complex field structure, since both are key features of geophysical flows. The goal of the project is at the same time to be able to predict some universal features of rare but high-impact transitions in turbulent attractors or, ultimately, the climate, and to promote novel techniques in rare event simulations which are applicable in an increasingly large spectrum of problems. Due to the combination of skills from the parties involved, the project will build a fruitful bridge between the statistical mechanics and the climate communities.

Keywords: large deviations,rare events,bistability,transitions,turbulence,zonal jets
HIBOO, the data platform to visualize and predict the industrial world (HIBOO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
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

Asset tracking and management is critical for companies with large fleets of units or equipment, especially in construction, industrial rental, logistics and transport sectors. By not adequately and accurately tracking usage of their equipment, companies today cannot optimise their productivity & eventually incur unaccounted losses in thefts or asset depreciation. Growing at a CAGR of 12.9%, the global asset tracking & inventory management solutions market is expected to reach €26.5 Billion by 2026, confirming the needs of an innovative way to automatically gather, organise, and process location, usage, availability and other key operational criteria of resources or equipment for useful deductions and accurate decisions to be made. Expert in Internet of Things (IoT) and SaaS platform, our company HIBOO is offering its eponymous HIBOO, an integrated, all-in-one IoT solution for supervision of mobile or fixed industrial assets. Using self-powered multi-sensor modules attached to the assets, the data is automatically collected in real-time, transmitted with 100% delivery rate, and presented on a dedicated interface to provide more visibility and perspectives such as level of usage, temperature and condition of operation. Using big-data and analytics, our innovation provides a bird’s eye view for clients to make high impact business decisions backed by solid evidence of data collected. Our technology improves efficiency through monitoring and preventing asset abuse (thefts, prolonged idling of engines, unauthorised usage, etc.). This favours cost reduction, optimisation of competitiveness through a 30% increase in efficiency, 80% reduction in data gathering and a more robust customer billing process based on actual asset usage. After 5 years of exploitation, we estimate to reach over €28.7M in sales and €9.8M in profits at an impressive return on investment of 4.37, creating a total of 35 jobs in the process.

Keywords: internet of things,physical asset tracking and management,low frequency networks,condition monitoring,big data,analytics,machine learning,cloud server
LIdar Knowledge Europe (LIKE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Germany,Germany,Italy,Germany,Germany,Norway,Norway,Portugal,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-10-01
End date: 2023-09-30
Duration (months): 48.0
Total project cost (EUR): 4127798.88
EU funding (EUR): 4127798.88
Participants: 10
Project status: SIGNED

LIdar Knowledge Europe (LIKE) fosters training and education of young researchers on emerging laser-based wind measurement technologies and its translation into industrial applications. Doppler Lidars (light detection and ranging) that measured the wind in the atmosphere remotely have reduced in price and increased reliability over the last decade mainly driven by European universities and companies serving the growing wind energy industry. This opens the possibility for new applications in many areas. LIKE improves, tests and refines the technology thus expanding these areas of application. LIKE promotes wind energy applications such as wind resource mapping using scanning lidars and control of individual wind turbines or entire wind farms in order to increase energy production and reduce mechanical loads. LIKE maps unusual atmospheric flow patterns over airports in real-time and thus improves the safety of landing aircrafts. LIKE explores wind and turbulence under extreme conditions at the sites of future European bridges paving the road for optimal bridge design. LIKE trains 15 ESRs to an outstanding level at world-leading European academic institutions and industrial companies, thus forming strong interdisciplinary relations between industry and technical sciences. These relations are implemented through employment of the ESRs at academia as well as industry, and through inter-sectoral secondments. Finally, translation of technology into specific applications is emphasised through the implementation of an entrepreneurship training course involving all ESRs and LIKE partners, particularly industry.

Keywords: wind energy,atmospheric turbulence,scanner lidar,remote sening
AcTafactors: Tumor Necrosis Factor-based immuno-cytokines with superior therapeutic indexes (AcTafactors)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Belgium
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2015-11-01
End date: 2017-04-30
Duration (months): 18.0
Total project cost (EUR): 149320.0
EU funding (EUR): 149320.0
Participants: 1
Project status: CLOSED

Tumor Necrosis Factor (TNF) is a homotrimeric pro-inflammatory cytokine that was originally discovered based on its extraordinary antitumor activity. However, its shock-inducing properties, causing hypotension, leukopenia and multiple organ failure, prevented its systemic use in cancer treatment. With this proof-of-concept study we want to evaluate a novel class of cell-targeted TNFs with strongly reduced systemic toxicities (AcTafactors). In these engineered immuno-cytokines, single-chain TNFs that harbor mutations to reduce the affinity for its receptor(s) are fused to a cell- specific targeting domain. Whilst almost no biological activity is observed on non-targeted cells, thus preventing systemic toxicity, avidity effects at the targeted cell membrane lead to recovery of over 90% of the TNF signaling activity. In this project we propose a lead optimization program to further improve the lead AcTafactors identified in the context of the ERC Advanced Grant project and to evaluate the resulting molecules for their ability to target the tumor (neo)vasculature in clinically relevant murine tumor models. The pre-clinical proof-of-concept we aim for represents a first step towards clinical development and ultimately potential market approval of an effective AcTafactor anti-cancer therapy.

Keywords: immuno cytokine,tumor vasculature,systemic toxicity
A Federated Collaborative Care Cure Cloud Architecture for Addressing the Needs of Multi-morbidity and Managing Poly-pharmacy (C3-Cloud)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Germany,Sweden,Sweden,Türkiye,Finland,Sweden,France,France,United Kingdom,United Kingdom
Call: Advanced ICT systems and services for integrated care (H2020-PHC-2015-single-stage, 2015)
Start date: 2016-05-01
End date: 2020-08-31
Duration (months): 52.0
Total project cost (EUR): 4995000.0
EU funding (EUR): 4995000.0
Participants: 12
Project status: CLOSED

C3-Cloud will establish an ICT infrastructure enabling a collaborative care and cure cloud to enable continuous coordination of patient-centred care activities by a multidisciplinary care team and patients/informal care givers. A Personalised Care Plan Development Platform will allow, for the first time, collaborative creation and execution of personalised care plans for multi-morbid patients through systematic and semi-automatic reconciliation of clinical guidelines, with the help of Decision Support Modules for risk prediction and stratification, recommendation reconciliation, poly-pharmacy management and goal setting. Fusion of multimodal patient and provider data will be achieved via C3-Cloud Interoperability Middleware for seamless integration with existing information systems. An Integrated Terminology Server with advanced semantic functions will enable meaningful analysis of multimodal data and clinical rules. Active patient involvement and treatment adherence will be achieved through a Patient Empowerment Platform ensuring patient needs are respected in decision making and taking into account preferences and psychosocial aspects. Co-design and 4-layered multi-method multi-stakeholder evaluation will lead to a user friendly solution. To demonstrate feasibility, pilot studies will focus on diabetes, heart failure, renal failure, depression in different comorbidity combinations. Pilots will operate for 15 months in 3 European regions with diverse health and social care systems and ICT landscape, which will allow for strengthening the evidence base on health outcomes and efficiency gains. C3-Cloud adaptive patient pathways and organisational models validated by patient organisations and a clinical reference group, change management and training guidelines will be shared with the European community. Commercial exploitation of C3-Cloud integrated care solutions will be facilitated through an Industry Vendor Forum and commercial EHR/PHR products of 3 leading SMEs.

Keywords: integrated care,multi morbidity,poly pharmacy,clinical guidelines,personalised care plans,decision support,shared decision making,patient empowerment,interoperability,security,privacy