Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Transparency instruments to quantify the method transparency, analytic robustness, and replicability of empirical research (TransparencyMeters)

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: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

A basic requirement in science is that published findings are sufficiently trustworthy. The current state-of-the-art strategy to assess the trustworthiness of findings involves meta-analyzing all known findings on a topic. Such strategy, however, is seriously flawed because it does not account for various forms of researcher biases that contaminate each study included in a meta-analysis. Consequently, it is currently not possible for researchers (and the public) to determine how much one should trust a published finding based on traditional meta-analyses. To address this problem, we propose here to develop 3 new meta-scientific instruments (or meters) to quantify the 3 most fundamental trustworthiness aspects of a study: method transparency, analytic robustness, and effect replicability. For each instrument, a corresponding metric (i.e., unit of measurement) will be developed to quantify the degree to which a published study exhibits method transparency, analytic robustness, and effect replicability. This will be achieved by applying the metrics to CurateScience.org, a web platform that tracks and quantifies the trustworthiness of studies in a crowdsourced, incremental fashion over time. These transparency instruments will revolutionize how meta-analyses are conducted, substantially improving the quality and validity of meta-analytic conclusions in all scientific fields. This will accelerate cumulative knowledge development and the exploitation of scientific findings to develop solutions to address Horizon’s 2020 societal challenges of European citizens. These new instruments will advance the field of meta-science, but also have the salutary effect of accelerating the uptake of open science practices among social science researchers. The proposed work is directly relevant to European policy objectives related to Open Science and Research Integrity to increase the openness, access to, and re-use of publicly-funded research and data.

Keywords: research transparency,analytic robustness,replicability,research integrity,responsible research
InDustrializing Elcogen’s Affordable and durabLe SOFC stack (IDEAL)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Finland
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2015-02-01
End date: 2015-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Elcogen Oy is developing a new Solid Oxide Fuel Cell (SOFC) stack for SOFC systems. Elcogen SOFC stack will provide a combination of better efficiency, longer durability, and lower cost, which none of the competing SOFC stack vendors can offer. These improvements will enable SOFC system manufacturers to compete against other energy production technologies without subsidies and/or tax benefits, and ensure truly environmentally friendly operation. The overall objective of the business innovation project is successful commercialization of Elcogen’s SOFC stack by early 2017. In Phase 1 the key objective is to verify the technological feasibility and commercial viability of Elcogen’s SOFC stack. Deliverable from the study will be enhanced business plan. Enhancements will be achieved through customer visits and interviews, supplier visits and interviews, market study and tradeshow participation. Feasibility study will also cover commercial supply agreement negotiations with key component suppliers as well as initiating first customer evaluation tests for the stack. Business opportunities for Elcogen Oy are based on the following key components: stack design is optimized from the beginning for mass-manufacturing using low cost raw materials; stacks lower operating temperature helps system manufacturers decrease system cost; and Elcogen’s innovative business model in the fuel cell industry is to take advantage of specialized manufacturers. Elcogen’s proposal focuses on topic “Stimulating the innovation potential of SMEs for a low carbon energy system” within Horizon 2020 Work Programme / Societal Challenge "Secure, Clean and Efficient Energy“. The IDEAL business innovation project is core to Elcogen’s successful commercialization and market entry, and fits 100% to Elcogen’s strategy. It will support Elcogen to seize 9% market share of global µCHP stack market by 2020, which equals to forecasted annual turnover of 45 MEUR.

Keywords: solid oxide fuel cell,sofc system,system manufacturer,sofc stack,low cost,high efficiency,long life time,low temperature,mass manufacturing,low carbon,energy efficient,energy production
Hold it or let it go: a niche decision on cancer growth (WHOLENICHE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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 Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-04-01
End date: 2023-09-30
Duration (months): 78.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The tumour microenvironment or niche is the vital non-cancerous compartment of the tumour structure. Thus, targeting its tissue-derived cells represents a promising avenue to better therapeutic interventions. However, knowledge about the tissue cells taking part of the tumour niche during early cancer development and later progression is lagging behind due to the difficulty of analysing and following early tissue changes in the surrounding of cancer cells in vivo. In our research proposal we will use a combination of original tools developed in the lab and state of the art technologies to overcome some of these constraints and expand our understanding of which cells in the niche support early cancer cell growth. We also aim to reveal their mechanism of action and identify approaches to block the niche supportive activity. Our five-year plan has three main objectives (I, II, III), which we will meet using two original strategies. With the first strategy we will visualize the early tumourigenic niche in vivo. This will allow us (I) to identify and characterize novel cellular components during dynamic niche evolution both in the context of metastatic colonization as well as during primary tumour onset. We will also use this original approach (II) to deepen our understanding of neutrophils in cancer, a particularly crucial emerging component of the cancer niche, whose role is still debated. After dissemination, cancer cells may encounter an unfavourable niche, failing to start colonization and remaining dormant within the tissue. However, the quiescent-permissive tissue can change, cancer cells reactivate and form metastases even a long period after tumour resection. Little is known about the changes in the niche of dormant cells capable of triggering their reactivation. With the second strategy we will generate an in vivo a controllable, dormant-permissive tissue (III) to screen for potential signals triggering dormant cells reactivation.

Keywords: tumour microenvironment
Topological Polaritonics (ToPol)

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-2017, 2017)
Start date: 2018-04-01
End date: 2020-05-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Due to their great versatility, photonic systems have been proven to be very powerful platforms for exploring topological physics and for engineering optical devices that are robust against fabrication defects and local perturbations. Right now, the most important challenges that faces this emerging field of topological photonics are (i) to break time-reversal symmetry (TRS) at optical frequencies, and (ii) to implement nonlinearities in topological modes. On the one hand, breaking TRS would allow implementing compact optical isolators and unidirectional waveguides in the edge states of topological lattices; on the other hand, nonlinearities would give rise to exotic effects emerging from the interplay of interactions and topology (e.g. fractional quantum Hall effect, topological solitons, multistability) and allow engineering active optical devices with topological robustness (e.g. topological lasers, diodes, switches...). Based on a multi-disciplinary approach, the objective of this proposal is to tackle both challenges using lattices of cavity polaritons, a half-light/half-exciton quasiparticle well-known for its nonlinear properties. In the first part of this project, we will take profit of the strong expertise of the host group in terms of microcavity etching to investigate nonlinear effects (polariton lasing, soliton formation and instabilities) emerging in the topological edge states of honeycomb polariton lattices. To do this, we will use a lattice with relevant edge terminations and appropriate exciton-photon detuning, and optically pump high polariton densities in the topologicale edge modes. Then, we will demonstrate TRS-breaking, either by using the magnetic moment of polaritons in an external magnetic field or by optically polarizing the exciton reservoir. Finally, using the approach yielding the strongest Zeeman splitting / polariton linewidth ratio, we will realize the first topological insulator with broken TRS at optical frequencies.

Keywords: topology,polaritons,time reversal symmetry breaking,polariton lasing,nonlinear physics
Smart Data ProcESsing and SysTems of Deep INsIght (DESTINI)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Italy,Cyprus,Netherlands
Call: Twinning (H2020-WIDESPREAD-2018-03, 2018)
Start date: 2019-10-01
End date: 2022-09-30
Duration (months): 36.0
Total project cost (EUR): 799267.5
EU funding (EUR): 799267.5
Participants: 3
Project status: CLOSED

DESTINI proposes a series of coordination and support actions for promoting research in the area of Smart Data. It brings together two internationally recognized scientific groups from the Netherlands (Tilburg University) and Italy (Sapienza Università di Roma) that collaborate with Cyprus University of Technology (CUT) so as to strengthen CUT’s research and scientific profile in the relevant area. The aim of DESTINI is to facilitate transfer of scientific knowledge and expertise, as well as of best research practices from the leading institutions to CUT. The ultimate goal is that the research group of CUT increases its research capacity and prowess, by investigating a number of significant and hot topics in the field of Smart Data Processing and Systems of Deep Insight. The research pillars of DESTINI are Smart Data Processing Systems, Systems of Deep Insight and Methodology for Smart Data-centric Services & Applications. We envisage that a number of high-quality research results may be produced during and after the duration of the project; this will enable CUT to significantly increase its international standing in the research community, by both achieving related publications in the top-tier scientific journals and conferences of our research area, as well as by producing new tools that will benefit industrial and business stakeholders. Close cooperation between the partners of DESTINI will take the form of knowledge acquisition and transfer through personnel exchanges, expert visits, organization of workshops and summer schools with lectures delivered from the leading institutions, participation in international scientific conferences/workshops, development of joint training sessions and mobility programmes for early stage researchers, and establishment of strong links with the market/industry.

Keywords: smart data processing,systems of deep insights,smart data centric services and applications
Stress Resilience and Network-Feedback Training (STRESNET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2022-08-31
Duration (months): 72.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 2
Project status: CLOSED

Acute stress has a profound impact on cognitive functioning: it raises alertness for threat, yet it impairs our ability to think clearly. Repeated exposure to stressors is furthermore a critical transdiagnostic factor in etiology, relapse, and chronification in almost all psychiatric disorders. We know from animal work at the cellular level how stressors trigger a neurochemical cascade that alters properties of widespread neuronal populations. A critical gap in our knowledge, however, is how such cellular effects translate to the level of large-scale neural systems which implement higher-order cognition. Here, I propose a novel framework for understanding such alterations as shifts in network balance: I hypothesize that acute stress causes dynamic shifts in resource allocation at the level of large-scale networks. First, I will leverage recent advances in network connectivity modeling to characterize the spatiotemporal dynamics of such shifts during acute stress and recovery. Using wearable biosensors and mobile applications, I aim to identify which neural markers predict resilience to stress in real life. Second, I will cross-validate these markers in a patient group characterized by high stress sensitivity. Third, to investigate how rapid network shifts are generated, I will examine the distinct roles of noradrenergic and dopaminergic neuromodulatory systems. Fourth, I will test the hypothesis that cognitive functions supported by one network can be disrupted by shifting balance towards another. Finally, I will develop a network-based implementation of functional MRI neurofeedback to train stress-sensitive participants to adaptively reallocate neural resources during acute stress. When successful, this project will yield 1) unprecedented insight into how our brain adapts to acute stress; 2) novel ecologically validated transdiagnostic biomarkers of stress resilience versus sensitivity; and 3) a potentially groundbreaking method for training stress resilience.

Keywords: stress,neuroendocrinology,large scale brain networks,neurofeedback,stress related disorders
Digital method for imprOved Manufacturing of next-generation MultIfuNctIOnal airframe parts (DOMMINIO)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Israel,Spain,Spain,Greece,Romania,Belgium,Belgium,France,France,France,United Kingdom
Call: Next generation multifunctional and intelligent airframe and engine parts, with emphasis on manufacturing, maintenance and recycling (H2020-MG-2020-SingleStage-INEA, 2020)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 4999190.25
EU funding (EUR): 4999190.25
Participants: 16
Project status: SIGNED

DOMMINIO aims at developing an innovative data-driven methodology to design, manufacture, maintain and pre-certify multifunctional and intelligent airframe parts (composed of high-quality in-situ consolidated composite laminates and high-performance 3D-printed reinforcement elements) through a cost-effective, flexible and multi-stage manufacturing system based on the combination of robotized ATL and FFF technologies, supported by advanced simulation tools, on-line process & quality monitoring, SHM systems-enabled by embedded novel CNT-based fibre sensors and data analytics. Innovative multifunctional thermoplastic filaments will be employed to incorporate novel continuous CNT fibre-based piezoresistive strain sensors in the laminate, to enable reversible joining (using magnetic NPs) and increase the structural integrity (using continuous CF) of the 3D-printed reinforcements. Flexible automation of ATL and FFF manufacturing processes will be enabled by the development of new laser-scanning and smart nozzle systems, the simulation of ATL plies consolidation and interlaminar delamination in FFF and the development of novel air-coupled ultrasound quality monitoring systems. Besides, advanced modelling will support the selection of right process window parameters and the optimal production planning strategy, ensuring the quality of the final component. In addition, physics- and data-driven models (Digital Twin) will provide real-time data-driven fault detection capabilities supporting the implementation of new methodologies for SHM&M of multifunctional airframe parts. The DOMMINIO multi-stage manufacturing systems and digital pipeline will be tested and validated at lab-scale in two representative airframe parts (a multifunctional access door panel and a leading-edge wing prototype), enabling the realization of the DOMMINIO solutions in a laboratory environment, in order to assess novel MDO and MRO methodologies, their life analysis and virtual certification potential.

Keywords: thermoplastic composites,automated tape laying,additive manufacturing,multifunctional filaments,structural health monitoring,online process monitoring,quality control,digital pipeline,lifecycle
HEAlthier Cities through Blue-Green Regenerative Technologies: the HEART Approach (HEART)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Preventing disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Serbia,Belgium,Greece,Poland,Switzerland,Greece,Greece,United Kingdom,Denmark,Denmark
Call: Innovative actions for improving urban health and wellbeing - addressing environment, climate and socioeconomic factors (H2020-SC1-2020-Two-Stage-RTD, 2020)
Start date: 2021-03-01
End date: 2025-02-28
Duration (months): 48.0
Total project cost (EUR): 4993073.75
EU funding (EUR): 4993073.75
Participants: 21
Project status: SIGNED

HEART’s integrated approach aims to significantly improve urban health and reduce health disparities through an innovative urban planning methodology that embraces and promotes the policy making of proper Blue-Green (BG)-based technologies with techniques for changing individual -citizens’- behaviour. HEART mainly targets to: (i) monitor and efficiently assess the impact of specific BG-based interventions on Public Health (PH) and Well-Being (WB) through studies to be carried out at both clinical and non-clinical settings, in three European cities, i.e. Belgrade (Serbia), Aarhus (Denmark) and Athens (Greece). This way HEART aims to create evidence-based policy making recommendations that will be addressed to the relevant health authorities of these countries (based on specific KPIs), (ii) change individual -citizens’- health related behaviour, by using emerging ICT-based techniques, (iii) develop robust plans for regenerating and rehabilitating urban ecosystems to improve PH and WB, while in parallel addressing key challenges such as low environmental quality and low biodiversity, resilience to Climate Change and extreme weather conditions, air pollution, undervalued use of space in deprived and residual-values areas leading to health inequalities; (iv) create inclusive and accessible urban environments by systematically implementing gender mainstreaming strategies and new participatory tools (ICT-based) in order to ensure that diverse groups’ needs are properly considered and embedded into urban-regeneration-planning; (v) design urban regenerating plans targeting to deliver cities-for-people: the proposed BG solutions will improve citizens’ quality of life, based on real evidence and co-design processes, as well as stimulating and supporting social inclusivity for all; and (vi) improve urban resilience (operational, social and economic) through interventions designed using a set of urban planning matrices based on stakeholders’ participation. ΗEART is part of the European Urban Health cluster.

Keywords: assess the impact of blue green interventions on urban health,validation in clinical and non clinical settings,behavioural change,ai based monitoring,evidence based policy making