Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Strengthening Nanoscience and Nanotechnology Research at CEITEC (SINNCE)

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: Austria,Israel,Switzerland,Czechia
Call: Twinning (H2020-WIDESPREAD-05-2017-Twinning, 2017)
Start date: 2018-09-01
End date: 2022-02-28
Duration (months): 42.0
Total project cost (EUR): 998012.5
EU funding (EUR): 998012.5
Participants: 4
Project status: CLOSED

The Czech Republic (CR) is one of the most industrial members of EU with the share of the industrial sector on GDP reaching 35 % and offering over 2 million jobs. However, to sustain and improve competitiveness in the future decades, this sector needs to absorb new trends and challenges in technologically demanding areas, especially in the Key Enabling Technologies representing a group of six technologies that are among the priority action lines of European industrial policy. Already now the KET-related production constitutes more than 20 % of the total industrial production of the CR, but its potentials is significantly higher. Within the project SINNCE, we aim at the strengthening of the KET-related nanoscience and nanotechnology research at CEITEC, a prominent research institution in the Czech Republic, which is a prerequisite for the future development of KET-related industry. The successful implementation of the SINNCE project and meeting its objectives will be verified by an increase in the key performance measurable indicators such as number of high quality publications, joint publications, invited talks, new scientific grant proposals, etc. The project SINNCE will link CEITEC with three research-intensive institutions around a Twinning Action. Those institutions, ETH Zurich, TU Vienna, and Weizmann Institute, are based in countries with a good performance in the KET-related industry and have experience with KET-related research. The successful implementation of the project is enabled by recent investments of EU FP7 programmes into CEITEC that brought its instrumental basis to a state-of-the-art level and directed the research performance of CEITEC to a growing trajectory. CEITEC is also identified within the Smart Specialization Strategy of CR as one of 5 Centres of Excellence and the only one related to multiple KETs. CEITEC is thus qualified to become the national leader in the KET-related research and a pillar of the national innovation strategy.

Keywords: key enabling technologies,upgrading scientific excellence,nanotechnology,nanophotonics,nanoelectronics,plasmonics,nanodevices
RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing (ROSSINI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Italy,Italy,Germany,Spain,Switzerland,Switzerland,Belgium,Greece,Netherlands
Call: Effective Industrial Human-Robot Collaboration (RIA) (H2020-NMBP-FOF-2018, 2018)
Start date: 2018-10-01
End date: 2022-03-31
Duration (months): 42.0
Total project cost (EUR): 7978176.25
EU funding (EUR): 7978176.25
Participants: 15
Project status: CLOSED

The ROSSINI project aims to develop a disruptive, inherently safe hardware-software platform for the design and deployment of human-robot collaboration (HRC) applications in manufacturing. By combining innovative sensing, actuation and control technologies (developed by world market leaders in their field), and integrating them in an open development environment, the ROSSINI platform will deliver a set of tools which will enable the spread of HRC applications where robots and human operators will become members of the same team, increasing job quality, production flexibility and productivity. Thanks to enhanced robot sensing capabilities, the deployment of artificial intelligence to optimise productivity and safety, and natively collaborative manipulation technologies, ROSSINI will deliver high performance HRC workcells, combining the safety of traditional cobots with the working speed and payloads of industrial robots. The ROSSINI research lines will this be: SENSING: A high performance Smart and Safe Sensor System for human and robot detection & tracking, capable of quickening sensors response time by 70% CONTROL: A safety aware control architecture for robot dynamic reconfiguration, capable of reducing robot task execution time by 45% ACTUATION: An innovative, collaborative by birth robot manipulator, to be marketed through the ROSSINI platform, capable of increasing the working speed when collaborating with humans by 45% HUMAN FACTORS: Human factors analysis for mutual predictability of robot and human intentions, capable of increasing job quality index by 15% RISK ASSESSMENT: A risk assessment procedure based on new interpretation of collision values, capable of reducing (combined with other results) by 30% the time and cost of reconfiguration, and increasing the allowed robot working speed by 20% The research lines will be combined into 3 demonstrators (white goods, electronic equipment, and food packaging).

Keywords: human robot collaboration,safe automation,vision system,laser scanner,risk assessment,validation,robotic manipulator
GENetics and the Electrocardiogram for predicting Scd rISk (GENESIS)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-03-18
End date: 2021-03-17
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Sudden cardiac death (SCD), a main consequence of malignant ventricular arrhythmias, is a leading cause of cardiovascular mortality in the general population. The early identification of individuals at risk is important. The spatio-temporal dispersion of ventricular repolarization is recognized as one of the major factors modulating the vulnerability to malignant arrhythmias and SCD. The morphology of the T-wave has been proposed to specifically reflect dispersion of ventricular repolarization. As part of my Ph.D, I developed a signal processing method to quantify the single-lead T-wave morphology restitution (TMR) index and I have shown that is strongly associated with SCD risk, but its relationship with intracardiac indices of dispersion of repolarization has never been evaluated. In addition, genome-wide association studies have been successful in identifying genetic variants for ECG indices in the general population, but no previous publications have reported SNPs significantly associated with the T-wave morphology. The main objective of this project is to establish and test a novel effective approach to prevent SCD based on the combination of information derived from cardiac electrophysiological indices and genetic predisposition. The project has three parts: 1) To develop a novel ECG risk marker based on the adaptation of 3D T-wave morphological variations to heart rate changes with strong SCD predictive value. 2) To assess the interaction of non-invasive ECG indices with intra-cardiac electrophysiological indices simultaneously measured during invasive electrophysiological studies. 3) To generate personalized risk scores combining genetics, ECG indices and clinical variables to optimize SCD prediction. This project has the ambition of establishing a new approach to SCD prediction, where genetic screening and advanced cardiac electrophysiological analysis are combined to provide an improved assessment of the predisposition to malignant arrhythmic events.

Keywords: genetics,electrocardiogram,statistics,sudden cardiac death,arrhythmic risk,personalised prediction,signal processing
Growth, Isoperimetry and Random walks on Groups (GroIsRan)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: France
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 1789438.0
EU funding (EUR): 1789438.0
Participants: 1
Project status: SIGNED

The goal of the project is to develop new techniques for estimation and evaluation of well-known asymptotic invariants of groups, including growth of groups, isoperimetric profiles, entropy and probability to return to the origin of random walks as well as of some more recent invariants related to the geometric criteria for construction of quotients of groups, which appeared in the joint work of PI with A.Karlsson (2010), and in a recent work of Ozawa (2015) giving a short functional analytic proof of the Polynomial Growth Theorem. We plan to work on the Gap conjecture of Grigorchuk, which states that any group of growth asymptotically strictly less than exp(n1/2) has polynomial growth, the question about the forms of Foelner sets in groups of intermediate and exponential growth and Kaimanovich and Vershik conjecture about characterisation of groups of exponential growth in terms of non-triviality of the Poisson boundary of some symmetric random walks. We plan to develop methods sharpening previous results of PI about isoperimetric inequalities for wreath products and relation between growth of groups and isoperimetry, and apply them for growth estimates and the description of the boundary. A further goal of the project is to introduce new constructions of non-elementary amenable groups which can show that necessary conditions in growth conjecture and isoperimetric inequalities cannot be weakened.

Keywords: growth of groups,groups of intermediate growth,isoperimetric inequalities,entropy,random walks on groups,poisson boundary,grigorchuk conjecture,grigorchuk groups
Digital intelligence for collaborative ENergy management in Manufacturing (DENiM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Spain,Ireland,Spain,Spain,Ireland,Italy,Spain,Italy,Italy,Italy,Italy,Switzerland,Belgium,Slovenia,Finland,France
Call: Energy-efficient manufacturing system management (IA) (H2020-NMBP-TR-IND-2020-singlestage, 2020)
Start date: 2020-11-01
End date: 2024-10-31
Duration (months): 48.0
Total project cost (EUR): 11007262.3
EU funding (EUR): 9685107.99
Participants: 23
Project status: SIGNED

DENiM develops an interoperable digital intelligence platform enabling a collaborative approach to industrial energy management. DENiM provides an integrated toolchain to provision advanced digital services including secure edge connectivity leveraging IoT, data analytics, digital twin, energy modelling and automation culminating in the delivery of continuous energy impact assessment, together with energy control and optimisation across existing production facilities, processes and machines. DENiM identifies skills gaps and develops training to build competences to support energy sustainability in smart manufacturing processes through the seamless integration of digital technologies, education and training activities. In view of considering the human factor, DENiM will consider existing and future regulations from a data protection, legal, ethical and energy policy perspectives, which informs the DENiM technological developments and pilot site interventions. In essence, DENiM accelerates energy efficiency transformation in manufacturing systems by enabling the right information and right technology to be available at the right time and in the right form, made accessible to the right people, empowering smart energy efficient decision-making within factories and across entire value chains. DENiM leverages the concept of process integration, taking a holistic approach to energy efficient manufacturing systems management and considers the interactions between the business, technology, infrastructure, and the workforce through the use of engineered systems that integrate both operational technologies and information technologies to accurately identify and map energy flows across the complete manufacturing value chain facilitating the integration of energy efficiency into existing business processes through digitalisation. This will result in a significant reduction of energy across diverse industrial sectors with substantial cost savings derived from optimised operation

Keywords: digital twin,lcca,control,digital skills,training,data privacy,smart manufacturing,industry 4 0,energy modelling,digital intelligence platform
Mitochondrial efficiency as a mechanism for local adaptation in a changing climate (MITOCHADAPT)

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: Life Sciences
Countries involved: Australia,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 277940.16
EU funding (EUR): 277940.16
Participants: 2
Project status: SIGNED

The world is undergoing rapid environmental change, and organisms are growing up in environments very different to those in which they evolved. Predicting how organisms will cope with this unprecedented scale of change is a key priority of biological research. The proposed work will be a significant advance to the field by measuring the evolutionary potential of developmental thermal physiology across natural populations, testing an underlying mechanism mediating adaptation to a warmer climate: namely the thermal sensitivity of mitochondrial efficiency (ATP/O). Outcomes will advance both basic biological knowledge, and applied climate change responses which are of importance to EU citizens, by testing individual- and population- level variation to predict species-level responses to climate change, and identifying a potentially general mechanism for thermal adaptation that can focus conservation efforts. I will use a combination of field work with laboratory measurements and techniques on natural populations of a widely distributed freshwater fish, and meta-analytical techniques, to target the following novel objectives: Objective 1) Test for divergence in mitochondrial efficiency (ATP/O) and developmental thermal physiology across locally adapted populations spanning a wide latitudinal gradient; Objective 2) Identify how developmental temperature affects ATP/O; Objective 3) Determine how selection and heritability of developmental thermal physiology varies across populations, and how ATP/O may mediate temperature-dependent selection; Objective 4) Summarise the generality of patterns between ATP/O and environment across species using meta-analysis. This project will draw from and expand upon the combined research track-records and strengths of my work in early-life history and quantitative genetics, with that of hosts Prof. Metcalfe (subcellular physiology) and Prof. Seebacher (whole-animal physiology) to achieve my future research career goals.

Keywords: development,thermal physiology,metabolic rate,energy expenditure,countergradient variation,latitude
Guide Stars Adaptive Optics for Retinal Imaging (GSAORI)

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: Austria
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-04-01
End date: 2018-03-31
Duration (months): 24.0
Total project cost (EUR): 166156.8
EU funding (EUR): 166156.8
Participants: 1
Project status: CLOSED

The Guide Stars Adaptive Optics for Retinal Imaging (GSAORI) project aims at developing new imaging techniques in the field of ophthalmology. As the eye presents time-variable aberrations, an Adaptive Optics (AO) loop greatly enhances quality and resolution of retinal imaging, enabling the examination of structures such as cone and rod photoreceptors and leukocytes in vivo in a non invasive way and at a microscopic scale. Although AO has enabled outstanding progresses in ophthalmology, it has its limitation. The pupil motion and tear film thickness changes during the examination can limit the performance of the AO system. Also, the distortions of the retinal structure influence the wave-front analysis. Finally motion artefacts can have a strong impact on the correction capacity of the AO system. Therefore satisfactory image quality can only be achieved in carefully selected patients, which currently prevents a widespread use of this technology. The overall objective of the project is to overcome these limitations by developing systems that are more robust to retinal distortions and local media opacities. This will enable acceptable image quality in the majority of patients. The emergence of versatile AO systems would be a significant milestone towards making this technique a routine for eye examination. To achieve this goal, we propose to use guide stars that are spread over different locations of the retina to minimize the influence of eye’s defects on the wave-front measurements. This technique is directly inspired from astronomical telescopes where several laser guide stars are used as references to provide efficient wave-front correction on a large field of view. Following the conception of a system with guide stars, new algorithms for wave-front sensing and control will be developed, providing a fully functional innovative AO system. To fulfil its objectives, the research project will be based on extensive system modelling, and on in-vivo eyes’ measurements.

Keywords: adaptive optics,optical coherence tomography,retina
Social Interaction Perception and the Social Brain Across Typical and Atypical Development (Becoming Social)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2023-07-31
Duration (months): 76.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Social interactions are multifaceted and subtle, yet we can almost instantaneously discern if two people are cooperating or competing, flirting or fighting, or helping or hindering each other. Surprisingly, the development and brain basis of this remarkable ability has remained largely unexplored. At the same time, understanding how we develop the ability to process and use social information from other people is widely recognized as a core challenge facing developmental cognitive neuroscience. The Becoming Social project meets this challenge by proposing the most complete investigation to date of the development of the behavioural and neurobiological systems that support complex social perception. To achieve this, we first systematically map how the social interactions we observe are coded in the brain by testing typical adults. Next, we investigate developmental change both behaviourally and neurally during a key stage in social development in typically developing children. Finally, we explore whether social interaction perception is clinically relevant by investigating it developmentally in autism spectrum disorder. The Becoming Social project is expected to lead to a novel conception of the neurocognitive architecture supporting the perception of social interactions. In addition, neuroimaging and behavioural tasks measured longitudinally during development will allow us to determine how individual differences in brain and behaviour are causally related to real-world social ability and social learning. The planned studies as well as those generated during the project will enable the Becoming Social team to become a world-leading group bridging social cognition, neuroscience and developmental psychology.

Keywords: social perception,social cognition,social development
West Antarctic Margin Signatures of Ice Sheet Evolution (WAMSISE)

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: Environment and Geosciences
Countries involved: New Zealand,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-10-31
End date: 2022-01-29
Duration (months): 36.0
Total project cost (EUR): 245943.0
EU funding (EUR): 245943.0
Participants: 3
Project status: CLOSED

The evolution of the Antarctic Ice Sheet has been widely debated. According to several studies a continent-wide ice sheet first developed during the early Oligocene and subsequently it experienced many cycles of advance and retreat. Tectonic, oceanographic, climatic and ice dynamic processes have been pointed to as the primary factors controlling this oscillation. However, their relative influence is still controversial. Middle Miocene growth of the Antarctic ice sheet has been related to intensification of the Antarctic Circumpolar Current. It was followed by warm episodes during the Mid Miocene Climatic Optimum and during the Pliocene when collapse of the West Antarctic Ice Sheet has been suggested. However, the stratigraphic signature of such a collapse has not been recognized on West Antarctic continental margins. The main aim of this proposal is examine the record of ice sheet evolution on West Antarctic continental margins from middle Miocene to present and clarify the factors controlling the major sedimentary changes and their global implications.

Keywords: west antarctic margin,antarctic ice sheet,seismic drilling tie,global implications of antarctic evolution,seismic stratigraphy,ice ocean interactions,bottom currents