Call for Papers
9th European Flight Test Safety Workshop
3-5 November 2015
Finding the Black Swan
Detecting Hidden Hazards While Testing Highly Automated Systems
Despite all efforts to identify hazards in advance, a large number of safety events have causes which were not foreseen at all. This is the case in flight test in general, as well as during the testing and operation of highly automated systems.
These “Black Swan” events have three principle characteristics: (1) they are completely unexpected, because nothing during pre-test analysis points to their possibility; (2) they result in extreme consequences; and (3) post-event analysis creates explanations with the benefit of hindsight that try to treat them as having been predictable.
To maximize the probability of avoiding Black Swan events, we need to develop better methods for detecting these hazards in advance. The aim of the workshop is to consider, based on concrete examples, how we can ensure that such hazards are identified and mitigated against beforehand.
The presentations and discussions will focus on experience gained from incidents and on methodologies developed to identify hazards and to assess risks in advance. Two main areas will be covered: (1) the hazards in flight tests themselves; and (2) the ways in which testing can effectively detect the hidden hazards in highly automated systems before they affect later operators.
Call for Papers
Papers discussing experience of programs, events, methods, processes and new ideas are all welcome. Conventional papers of up to 30 minutes as well as shorter, for example anecdotal, contributions are welcome. We wish to enhance the Workshop nature of this event so all attendees will be encouraged to participate. In order to stimulate the ensuing discussions we would particularly welcome any of the following:
- Descriptions of test programs during which wholly unexpected hazards were encountered
- Methods of exhaustively identifying hazards
- Quantifying probability and harm in risk matrices
- Test methods for ensuring that no hidden hazards remain in highly automated systems
- Methods of identifying pitfalls in Human-Machine-Interfaces
- Any stimulating new ideas
Registration site coming soon!