Innovating Works
HORIZON-SESAR-2022-DES-ER-01-WA1-7
Fundamental Science and Outreach for Artificial Intelligence (AI)...
ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.
Sólo fondo perdido 0 €
European
This call is closed Esta línea ya está cerrada por lo que no puedes aplicar.
An upcoming call for this aid is expected, the exact start date of call is not yet clear.
Presentation: Consortium Consortium: Esta ayuda está diseñada para aplicar a ella en formato consorcio.
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This aid finances Proyectos:

ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.

Environment. Project results are expected to demonstrate that the proposed solutions would have no negative impact on the environment (i.e. in terms of emissions, noise and/or local air quality) or on the potential improvement of the aviation environmental footprint.Capacity. Project results are expected to contribute to capacity by addressing the management of airspace in abnormal, disrupted situations.Operational efficiency. Project results are expected to demonstrate that the synchronisation and predictability of the ATM system will increase.Safety. Project results are expected to maintain at least the same level of safety as the current ATM system.Security. Project results are expected to maintain at least the same level of security as the current ATM system.
Scope:The SESAR 3 JU has identified the following innovative research elements that could be used to achieve the expected outcomes. The list is not intended to be prescriptive; proposals for work on areas other than those listed below are welcome, provided they include adequate background and justification to... see more

ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.

Environment. Project results are expected to demonstrate that the proposed solutions would have no negative impact on the environment (i.e. in terms of emissions, noise and/or local air quality) or on the potential improvement of the aviation environmental footprint.Capacity. Project results are expected to contribute to capacity by addressing the management of airspace in abnormal, disrupted situations.Operational efficiency. Project results are expected to demonstrate that the synchronisation and predictability of the ATM system will increase.Safety. Project results are expected to maintain at least the same level of safety as the current ATM system.Security. Project results are expected to maintain at least the same level of security as the current ATM system.
Scope:The SESAR 3 JU has identified the following innovative research elements that could be used to achieve the expected outcomes. The list is not intended to be prescriptive; proposals for work on areas other than those listed below are welcome, provided they include adequate background and justification to ensure clear traceability with the R&I needs set out in the SRIA for the AI for aviation flagship.

Management of abnormal situations. AI/ML have great potential for predictions/forecasts under normal circumstances, but research is needed to investigate the further evolution that will be needed if they are to be used in the management of abnormal situations: a prescriptive approach will be required to monitor the reality and specify precursors indicating possible deviations from what is expected (R&I need: AI for prescriptive aviation).Human-centric AI. Aviation will need to ensure a human-centric approach, as described in the EASA AI roadmap. Humans should understand what the systems are doing and also maintain the right level of situational awareness (i.e. to understand the situation well enough to enable human–machine cooperation) (R&I need: human–AI collaboration: digital assistants).Air and ground synchronisation. AI-powered systems are expected to be integrated into ground and cockpit systems, enhancing communication for trajectory management and much more. The scope of this research includes the identification of innovative applications / AI-based solutions that could improve such synchronisation (R&I need: human–AI collaboration: digital assistants).AI for higher automation. This element covers the development of an AI-powered cloud-based infrastructure and services (supporting higher levels of automation). In addition, the aim is to develop automation of ATM processes in which analysis and prediction are particularly likely to benefit from AI, and to develop AI-powered ATM environment requirements, infrastructure, and common regulation and certification guidelines (R&I need: AI improved datasets for better airborne operations).Datasets. Datasets are essential for the development of AI-based applications. Starting from an assessment of the state of the art, this element involves researching new ideas to generate and enable the automation of aviation-specific datasets from a large variety of on-board and ground communications across the network, which could then enable a broad range of AI-based applications for aviation. The research will also cover legal (e.g. liability), financial and regulatory aspects and will take into account the issue of how complete the datasets need to be to meet ATM requirements (R&I need: AI improved datasets for better airborne operations).Interoperability of ATM systems with different levels of automation. Although there is consensus on increasing automation levels to improve the efficiency of ATM systems and reduce costs, it is clear that not all functions will be at the same level of automation, and collaborating control centres and other stakeholders may have different levels of implementation of highly automated systems, even for the same functions. A methodology to produce automation strategies (roadmaps) providing a safe stepwise route to the full implementation of high automation levels is therefore needed (R&I need: trustworthy AI powered ATM environment).Cyberthreat intelligence services in aviation/ATM. The use of techniques based on ML to support cyberthreat detection and mitigation is quite widespread in the state of the art of various industries (e.g. internet services, e-commerce, content delivery networks); observation of anomalous traffic patterns or transactions enables the detection of cyberattacks. The transfer of these methods to ATM is not straightforward and, given the current tendency in ATM to enhance information-sharing to implement machine-to-machine automated functions (e.g. through SWIM implementation, increased bandwidth air–ground communications) while maintaining legacy systems built without any proper security policy, research in this area is needed (R&I need: trustworthy AI-powered ATM environment).
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Temáticas Obligatorias del proyecto: Temática principal:

Consortium characteristics

Scope European : The aid is European, you can apply to this line any company that is part of the European Community.
Tipo y tamaño de organizaciones: The necessary consortium design for the processing of this aid needs:

characteristics of the Proyecto

Requisitos de diseño por participante: Duración:
Requisitos técnicos: ExpectedOutcome:Project results are expected to contribute to the following expected outcomes. ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.
Do you want examples? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Financial Chapters: The chapters of financing expenses for this line are:
Personnel costs.
Expenses related to personnel working directly on the project are based on actual hours spent, based on company costs, and fixed ratios for certain employees, such as the company's owners.
Subcontracting costs.
Payments to external third parties to perform specific tasks that cannot be performed by the project beneficiaries.
Purchase costs.
They include the acquisition of equipment, amortization, material, licenses or other goods and services necessary for the execution of the project
Other cost categories.
Miscellaneous expenses such as financial costs, audit certificates or participation in events not covered by other categories
Indirect costs.
Overhead costs not directly assignable to the project (such as electricity, rent, or office space), calculated as a fixed 25% of eligible direct costs (excluding subcontracting).
Madurez tecnológica: The processing of this aid requires a minimum technological level in the project of TRL 4:. Los componentes que integran determinado proyecto de innovación han sido identificados y se busca establecer si dichos componentes individuales cuentan con las capacidades para actuar de manera integrada, funcionando conjuntamente en un sistema. + info.
TRL esperado:

Characteristics of financing

Intensidad de la ayuda: Sólo fondo perdido + info
Lost Fund:
For the eligible budget, the intensity of the aid in the form of a lost fund may reach as minimum a 100%.
The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations. The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
Guarantees:
does not require guarantees
No existen condiciones financieras para el beneficiario.

Additional information about the call

incentive effect: 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:
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minimis: Esta línea de financiación NO considera una “ayuda de minimis”. You can consult the regulations here.

other advantages

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