Innovating Works

H2020

Cerrada
HORIZON-CL5-2021-D6-01-13
HORIZON-CL5-2021-D6-01-13: Safe automation and human factors in aviation – intelligent integration and assistance
ExpectedOutcome:Project results are expected to contribute to all of the following expected outcomes:
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 19-10-2021.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Por suerte, hemos conseguido la lista de proyectos financiados!
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

ExpectedOutcome:Project results are expected to contribute to all of the following expected outcomes:

Improved monitoring of human performance, system performance and external hazards, in order to pave the way to more automation in aviation while meeting Flightpath2050 safety goals.Avoiding startle response or “automation surprise”, enabling intelligent assistance to all operators on the air and on the ground in all safety-critical situations and allowing fall-back response in case of severe system perturbations - including pilot incapacitation, cyber-attacks and/or broader operational system-wide failures.New crew and team configurations, including human-machine teaming, automation supervisory roles and distributed human crew (both airborne and on the ground) to ensure safety and optimise performance without leading to complacency or to loss of critical skills.Better prepared workforce and training, with smarter selection, qualification and training tools and methods to maintain high standards of safety and resilience, including advanced simulation for complex safety-critical events.Increased organisational and regulatory preparedness, safety culture and societal acce... ver más

ExpectedOutcome:Project results are expected to contribute to all of the following expected outcomes:

Improved monitoring of human performance, system performance and external hazards, in order to pave the way to more automation in aviation while meeting Flightpath2050 safety goals.Avoiding startle response or “automation surprise”, enabling intelligent assistance to all operators on the air and on the ground in all safety-critical situations and allowing fall-back response in case of severe system perturbations - including pilot incapacitation, cyber-attacks and/or broader operational system-wide failures.New crew and team configurations, including human-machine teaming, automation supervisory roles and distributed human crew (both airborne and on the ground) to ensure safety and optimise performance without leading to complacency or to loss of critical skills.Better prepared workforce and training, with smarter selection, qualification and training tools and methods to maintain high standards of safety and resilience, including advanced simulation for complex safety-critical events.Increased organisational and regulatory preparedness, safety culture and societal acceptance in the advent of more automation in aviation, from earlier integration of human factors and automation into design processes and safety case methods up to ensuring an appropriate level of human factors and automation competence in key organisations, including regulators.
Scope:Activities should address a renewed safety focus on the teaming between the human and automation, given the steady increase in automation in aviation operations at large (e.g. in cockpit, ATC, maintenance, etc.), including for new airborne services and vehicles such as drones. When automation is unable to cope, control should be handed back safely to the human.

Prepare the next step-change in automation, artificial intelligence (AI), in two steps. Firstly, in the medium term with the role of AI as ‘Digital Assistant’, part of the team, earning the trust of the human operators and the flying public. Secondly, in the long term, with the potential of AI to take over operations. For the transition to digital assistant and ultimately to AI-run operations, develop a novel approach to Human Factors and to safety (and security) assurance methods and processes.

System transition issues should be addressed, to avoid an initial spate of ‘automation-assisted accidents’, as it happened at the last step change in the level of automation in aviation (‘glass cockpits’), which nevertheless resulted in significantly improved safety.

Activities should consider the increasing complexity in aviation e.g. traffic growth expected back in the mid/long-term, more ‘new entrants’ as drones, more extreme weather events, more environmental constraints leading to more complex systems and operations. In such an evolving aviation environment it is needed to better understand and anticipate why incidents happen – the triggering events/hazards, the cognitive failures and the challenges at the human-machine interface – in order to learn the right lessons and then share them both internally and externally. This includes the impact of physical and mental wellbeing on human performance and safety, both in a positive sense (e.g. motivation, positive safety culture) and in a negative sense (e.g. fatigue, constraints during/after pandemic times, fitness for duty, skill loss, and complacency).

More focus is needed then on Human Digital Interface design and on integrating AI into human crews and teams, as a smart assistant to explain, accompany and support operators, in particular at safety-critical situations and to recover from emergencies. More adaptive and trustworthy human-machine systems and more intuitive interfaces should be developed.

Developments should be applied to realistic operational and regulatory contexts while devising how to maintain safety culture and societal acceptance along with organisational and regulatory preparedness. Particular attention should be paid to possible differences such as age, gender and ethnography. Social innovation is recommended when the solution is at the socio-technical interface and requires social change, new social practices, social ownership or market uptake.

This topic requires the effective contribution of Social Sciences and Humanities (SSH) disciplines and the involvement of SSH experts, institutions, as well as the inclusion of relevant SSH expertise, in order to produce meaningful and significant effects enhancing the societal impact of the related research activities.

Activities should go beyond the state of the art and previous R&I activities, at least at EU level[1]. Activities should ensure no overlap but complementarity for integration with any other aviation activities, such as SESAR / Transforming the European ATM System partnership. The proposals may include the explicit commitment from the European Aviation Safety Agency (EASA) to assist or to participate in the actions[2].

In order to achieve the expected outcomes with increased resources and impact, international cooperation can be foreseen with third countries with relevant capacities in this domain, while ensuring that the respect of European IPR, interests and values is strictly guaranteed.

Synergies with other transport modes and safety/security critical sectors adopting more automation is welcomed, in particular on risk assessment and pre-normative research to ensure fit-for-purpose rulemaking and management systems and a high level of cyber-attack protection.

Synergies with other topics in Horizon Europe can be exploited such as in Cluster 4 e.g. HORIZON-CL4-2021-DIGITAL-EMERGING-01-02 (Software for low-power operation at the edge), HORIZON-CL4-2021-DIGITAL-EMERGING-01-11 (Pushing the limit of robotics cognition), in Cluster 3 e.g. HORIZON-CL3-2021-INFRA-01-01 (European infrastructures and their autonomy safeguarded against systemic risks), as well as with other EU programmes such as Connecting Europe Facility (CEF), NextGenerationEU and Digital Europe.


Specific Topic Conditions:Activities are expected to achieve TRL 6 by the end of the project – see General Annex B.




Cross-cutting Priorities:International CooperationSocio-economic science and humanitiesSocial Innovation


[1]Examples of aviation safety research projects available on:

- Projects For Policy (P4P) on Aviation Safety https://publications.europa.eu/en/publication-detail/-/publication/b4690ade-3169-11e8-b5fe-01aa75ed71a1/language-en/format-PDF/source-75248795

- Coordination-support action OPTICS2 https://www.optics-project.eu/narratives/

[2]https://www.easa.europa.eu/domains/safety-management/research

ver menos

Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: ExpectedOutcome:Project results are expected to contribute to all of the following expected outcomes: ExpectedOutcome:Project results are expected to contribute to all of the following expected outcomes:
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Subcontracting costs.
Purchase costs.
Other cost categories.
Indirect costs.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 6:. Representa un paso importante en demostrar la madurez de una tecnología. Se construye un prototipo de alta fidelidad que aborda adecuadamente las cuestiones críticas de escala, que opera en un entorno relevante, y que debe ser a su vez una buena representación del entorno operativo real. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
0% 25% 50% 75% 100%
Para el presupuesto subvencionable la intensidad de la ayuda en formato fondo perdido podrá alcanzar desde un 70% hasta un 100%.
The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities. The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities.
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
No conocemos el presupuesto total de la línea
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.