Data Science Aviation Workshop 2017 - EASA Research – Big Data Technologies Werner Kleine-Beek Safety Intelligence and Performance Department 29th September 2017 TE.GEN.00409-001
The 5 steps of Safety Risk Management 1. 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
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
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
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