ComplexWorld is a Research Network that was created to lead the long term research needs of SESAR (Single European Sky ATM Research), one of the European Commission’s most ambitious research and development projects. SESAR is a results-driven initiative with the aim of meeting future air capacity and safety needs while building the European economy on strong foundations of knowledge, research and innovation.
Work Package E, the Long Term Research vehicle of SESAR, sets out to explore four areas of exploration, one of which is ‘Mastering Complex Systems Safely’. The ComplexWorld Network is specifically tasked with addressing this theme and with establishing how Complexity Science can contribute to understand, model, and ultimately drive and optimise the behaviour and the evolution of the ATM system that emerges from the complex relationships between its different elements.
As an open partnership between universities, research centers and industry, ComplexWorld’s objective is to:
• Provide a structured forum for the development, exchange and dissemination of research knowledge in ATM Complexity Management
• Lower the barriers for the ATM community to have access to and benefit from Complex Systems science
• Attract talented Complex Systems researchers towards ATM.
• Foster the interaction andideas sharingbetweenthe Air Transport and the Complex Systems research communities
• Define, develop and maintain a clear roadmap for establishing and consolidating a research community at the intersection of Complexity and ATM of clear added value for the European Air Transport sector.
For further details on the Position Paper topics, visit the ComplexWorld Wiki.
Who we are
The ComplexWorld Network is led by the the Innaxis Foundation and Research Institute (Network Coordinator), the University of Seville, DLR, the Netherlands Aerospace Centre (NLR), the University of Palermo, and the University of Westminster. Additionally, iIt has a network of 70 plus participants. If you would like to join out network email us on email@example.com
PARTICIPANTS FROM ACADEMIA
Chinese University of Hong Kong
Ecole Nationale de l’Aviation Civile (ENAC)
École Polytechnique / Institut des Systèmes Complexes de Paris-Île de France
Friedrich-Alexander University Erlangen Nurnberg
HCF – Human-Factors-Consult GmbH
Instituto Tecnologico del Valle de Morelia, Mexico
Kiev National Aviation University
National Technical University of Athens (NTUA)
Polytechnical University of Madrid (UPM)
TU of Catalonia
Universidad Autónoma de Barcelona
Universidad Carlos III de Madrid
University of Belgrade
University of Catania
University of Hannover
University of Helsinki
University of L´Aquila
University of Leicester
University of Melbourne
University of Milano-Bicocca
University of Naples- Parthenope
University of Porto, LIACC/NIADR, TAP Portugal
University of Salzburg
University Rey Juan Carlos
Vrije Universiteit Amsterdam
PARTICIPANTS FROM OTHER ENTITIES
Airspace Management Strategies Inc.
BluSky Services Group
DSE Consulting LTD
GMV Aerospace and Defence S.A.U
GMVIS Skysoft S.A.
IDS Ingegneria Dei Sistemi S.p.A
NextGen AeroSciences, LLC
Research Executive Agency (REA)- European Commission
Roke Manor Research
Cologne · Complexity Challenges in ATM
Cologne · 4th DSIAW
Bologna · 5th SESAR Innovation Days
Lipari · ECCS Satellite event
Brussels · 3rd DSIAW
Brussels · Complexity Challenges and Opportunities in SESAR2020
Madrid · 4th SESAR innovation days
Lucca · ECCS’14 Satellite Event
Istanbul · Tutorials session
Istanbul · Seminar on Complexity in Air Transport
Paris · 2nd DSIAW
Stockholm · WS4: Complex Metrics in ATM
Stockholm · 3rd SESAR Innovation Days
Madrid · 1st Data Science in Aviation Workshop
Barcelona · WS3: Air Transport Network; an Integrated View
Barcelona · ECCS’13 Satellite Event
Toulouse · 2nd ComplexWorld Tutorial Sessions
Toulouse · WS2: Resilience and Robustness in ATM
Naples · WS1: Uncertainty in ATM; definitions, sources, scales, challenges
Barcelona · ECCS’12 Satellite Event
1st Tutorials session
Seminar on Complexity in Air Transport
ECCS Satellite event
First ComplexWorld Conference
Automating the Search for Hazards in Complex Systems
The project will work on a proof-of-concept technology that will enable future SESAR applications to automatically explore and safety check proposed changes to ATM scenarios.
Safety Management in Complex ATM System of Systems using ICT approaches
The project aims to identify combinations of events as they are happening and issue warnings to operators early enough to take action and prevent catastrophic failures.
Probabilistic Network Based Operations ATM
This project aims to improve the performance of the ATM system in the short term planning phase by developing new models and algorithms that enable to manage the factors that account for ATFM delay.
Empirically Grounded Agent-Based Models for the Future ATM scenario
ELSA will develop the methods and tools of the science of complex systems to analyse and model the dynamics of the new ATM system, especially concerning complexity, resilience, and safety.
Mathematical Approach towards Resilience Engineering in ATM
MAREA aims to develop a mathematical modelling and analysis approach towards the application of resilience engineering in ATM, and to demonstrate its usability through application to future scenarios
Passenger-Oriented Enhanced Metrics
The air transport industry is lacking passenger-centric metrics; its reporting is flight-centric. POEM will build an ECAC ATM model, combining flight and passenger trip data.
Complex Adaptative Systems for Optimisation of Performance in ATM.
CASSIOPEIA proposes an innovative approach to ATM performance, especially well-suited to apprehend and manage the irreducible uncertainties which impact on ATM process
Network-Wide Effects of Inventive Operational Approaches in ATM
The project aims at exploring the potential network-wide benefits and/or adverse effects of the application of different local operational approaches in ATM.
In Search of Poweful Emergent Behaviour in ATM
EMERGIA project will identify potentially negative emergent behaviours and will improve the SESAR2020+ system architecture and design such that their emergent behaviours become positive.