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A SME specialised in R&D and technology transfer. Its main area of activity is the evaluation of complex systems. Focusing on the interactions, integration and allocation of functions between humans, procedures and equipment in contexts with high security, dependability and resilience requirements, like ATM.
| Contact Ana Ferreira, Michela Terenzi |
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Sapienza brings state-of-the-art knowledge from domains other than aviation. MOTO involves both the Industrial Neuroscience (IN) Laboratory, recently engaged in the successful SESAR project NINA; and the Social and Cognitive Neuroscience (SCN) Laboratory, previously involved in VERE, TANGO and PARMS.
Contact Fabio Babiloni (IN) |
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Providing continuing education for the main players of the French civil aviation, ENAC also offers a favourable environment for research activities: it has its own training facilities, access to ATM experts as well as engineers and pilots, and a long-term expertise in innovative interaction technology, simulation and modelling.
| Contact Christophe Hurter |
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The second-oldest University in the Netherlands, it is a leading research institution featuring state-of-the-art facilities for the visual exploration and analysis of huge datasets, together with know-how in large-scale data visualization. MOTO involves the Johann Bernoulli Institute for Mathematics and Computing Science (JBI).
| Contact Alexandru Telea |
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Consortium as a whole
The MOTO project is built around the complementarities of these four core partners that cover the whole value chain from research to application and development of prototypes. ENAC and Deep Blue provide the primary venues for exploitation, having existing contacts with key industrial partners, while both Sapienza University research teams have corresponding sister spin-off companies that can ensure support for mature exploitation. The University of Groningen will support the team in designing augmented solutions.
MOTO benefits from a previous solid collaboration established between Deep Blue, ENAC and Sapienza University in NINA project.
