1. Data Science Aviation Workshop EASA Research – Big Data Technologies Werner Kleine-Beek Safety Intelligence and Performance Department
29th September 2017
TE.GEN

2. The 5 steps of Safety Risk Management1.
Identification of Safety Issues
Analysis
Analysis of occurrence data
Analysis of other information
Emerging Safety Issues 2.
Assessment
of Safety Issues
Analysis
Scope
Causes
Consequences
Risk Controls
=> Safety Risk Portfolio
=> Annual Safety Report 5.
Safety Performance
Analysis
Monitor safety issues
Effectiveness
of actions
Safety Risk Management 3.
Definition and Programming of Safety Actions
Decisions
Defining Actions
Impact Assessment
Programming
=> Preliminary Impact
Assessment 4.
Implementation & Follow-up
Decision
Monitor implementation
of actions
Agreed safety actions => European Plan for Aviation Safety (EPAS)
29th September 2017
DASIA 2017

3. Safety Risk Management - Enablers
Safety Analysis Resources
Subject Matter Expertise
RESEARCH
(EU) 996/2010
Accident investigation
Safety Analysis Methods
(EU) 376/2014 Occurrence reporting
Impact Assessment methods
European Central Repository
European Risk Classification Scheme
29th September 2017
DASIA 2017

4. Allowing a step level change with big data
Risk Based Oversight
“Know where to look”
Search for precursors of accidents
“See it coming”
Need for intelligence, assembly of data and serious analytical capacity
29th September 2017
DASIA 2017

5. Key elements of Data4Safety Programme
A voluntary and collaborative partnership amongst all stakeholders
Independent governance to reflect the partnership and collaborative approach (dual management authorities/industry)
An IT organisation with Big Data Competence
Outcome shared for the benefit of the whole community:
Risk identification and analysis
Linked with other international initiatives (US, Asia-Pacific, IATA,…)
29th September 2017
DASIA 2017