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TOPIC : Data Science in ATM

Topic identifier: Sesar-02-2015
Publication date: 19 March 2015

Types of action: SESAR-RIA Research and Innovation action
DeadlineModel:
Opening date:
single-stage
24 March 2015
Deadline: 25 June 2015 17:00:00

Time Zone : (Brussels time)
  Horizon 2020
Topic Description
Scope:

Specific challenge: The ambition of this topic is to explore the potential of the rapidly maturing techniques in complexity science and data science for the ATM domain. Slow adoption of new procedures and automation tools in ATM is an indication that system complexity is no longer mastered; a better understanding of interdependence and feedback mechanisms between components and of parameters that control the overall performance of the socio-technical ATM system of systems is urgently needed.

In addition, massively collaborative environments for information sharing as envisaged for the future ATM system entail many risks. Generic solutions are being researched in computer science which now need to be demonstrated for specific ATM applications.

Scope: The range of research that could be covered in this topic is broad and topics mentioned here are indicative. Research proposals may target SESAR concepts and systems currently being implemented or could address timeframes up to those of the Flightpath 2050 vision document.

Over the last four years, the SESAR-sponsored ComplexWorld network has brought together scientists from complexity science with ATM researchers. Collaboratively they identified four promising areas for complexity research: (1) characterisation of uncertainty in ATM, (2) detection of emergent behaviour, (3) resilient design and (4) development of non-classical performance metrics. In addressing these and building upon the relevant WP-E results, the focus should be on exploiting complexity science’s modelling and analysis techniques such as network theory or agent-based modelling, at the appropriate scales (in time and space).

The availability of ‘big data’ offers a range of research opportunities for data science in ATM. Focussing on automating the extraction of knowledge from raw, heterogeneous and incomplete sources, techniques such as data mining, visualisation, stream processing, learning or scalable analytics may dramatically improve decision support and performance monitoring. A multi-disciplinary approach involving both data and complexity scientist is encouraged.

The advent of concepts such as collaborative decision-making, trajectory exchange and, more generally, system-wide information sharing raise issues not present in the peer-to-peer architectures that prevail in the current ATM systems. Essential operational aspects of SWIM are covered in the mainstream SESAR work programme, but further research is needed to address, inter alia, collaboration in the presence of competition, ‘value’ or ‘optimal amount’ of information, availability and security of cloud architectures in the context of SWIM and the future evolution of the European ATM system.

Expected impact: Successful research in this topic will improve the quality and availability of knowledge for decision making (both strategically and in real-time), will lead to more agile ATM system designs, to a more secure and widely usable SWIM infrastructure and offer benefits for exchanging passengers/freight information seamlessly between different transport modes.  These developments will enable a range of performance benefits across the entire ATM system.

Type of action: Research and Innovation Action (RIA).

Further conditions related to this topic are provided in the Technical Specification of the Call.

Cross-cutting Priorities:

International cooperation
Cross-cutting Key-Enabling Technologies (KETs)
Socio-economic science and humanities

Topic conditions and documents

Please read carefully all provisions below before the preparation of your application.

The full information on this Call and the Technical Specifications for this Research Topic can be found in the SESAR 2020 Exploratory Research: First Call for Research Projects.

1. List of countries and applicable rules for funding: described in Annex of the ad hoc financing decision.

2. Eligibility and admissibility conditions: described in the Annex of the ad hoc financing decision and part B of the General Annexes of the main H2020 Work Programme.
 

3. Evaluation

3.1 Evaluation criteria and procedure, scoring and threshold: described in the Annex of the ad hoc financing decision and in the SESAR 2020 Exploratory Research: First Call for Research Projects.

3.2 Guide to the submission and evaluation process for the applicable thresholds to this Exploratory Research Call for Proposals, please refer to point 3.1 above.

4. Proposal page limits and layout: Please refer to Part B of the SJU proposal template available below and in the submission system.

5. Indicative timetable for evaluation and grant agreement:
Information on the outcome of one-stage evaluation: maximum 5 months from the final date for submission.
Signature of grant agreements: maximum 3 months from the date of informing successful applicants.


6. Provisions, proposal templates and evaluation forms for the type(s) of action(s) under this topic:

Research and Innovation Action:

Specific provisions and funding rates: described in ad hoc financing decision.
SJU proposal template (administrative forms and structure of technical annex)
SJU self evaluation form
SJU Model Grant Agreement
Annotated Model Grant Agreement


7. Additional provisions:

Classified information

Technology readiness levels (TRL) where a topic description refers to TRL, these definitions apply. Refer to document SESAR 2020 Exploratory Research: First Call for Research Projects, section 2.3.


8. Open access must be granted to all scientific publications resulting from Horizon 2020 actions and proposals must refer to measures envisaged.

9. SJU additional documents

SJU Annual Work Programme 2015
ATM Master Plan
SESAR 2020 Exploratory Research: First Call for Research Projects
Second draft of the SESAR 2020 R&I Programme ed. 0.21 dated 07 July 2014
Project Execution Guidance for SESAR 2020 Exploratory Research
SESAR 2020 Programme Execution Introduction

 

Additional documents

  • Revised SJU Model Grant Agrement en
  • Q&A en

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No submission system is open for this topic.

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