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J2 reveals air accident investigation advances

Daresbury based J2 Aircraft Dynamics will next month (25th January 2017) reveal how its software is delivering more accurate and faster air accident data analysis at a lecture in the Old Library at Lloyds of London.


 
The CPD lecture, forms part of a regular series of short lectures commissioned by the Insurance Institute of London, and is entitled 'How advances in simulation technology can help better understand what happens in air accidents' will be presented by J2’s CEO John Jeffery and senior sales VP Paul Jenkins. During the 30-minute presentation J2 will talk about the application of an existing technology to forensic investigation and how detailed analysis of air accidents can be delivered faster and more accurately.

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During the lecture, participants will learn about the elements of air accidents that are often argued out on opposing opinions without recourse to data and how this is already changing in the UK and USA.

J2 Aircraft Dynamics will demonstrate what can be gleaned from limited crash site data. It will talk about how its software is being used and analysed forensically, expanded understanding and knowledge about an accident and providing clues to the most likely cause and contribution.

Aero modelling in air accidents has been regarded historically as prohibitively expensive. This lecture looks at what can be achieved now. It will examine what it can uncover for investigators, lawyers and insurers in understanding likely outcomes as well as assessing strengths and weaknesses of any claims of legal cases ensuing.

Speaking about the forthcoming lecture, Paul Jenkins of J2 Aircraft Dynamics said: “We are honoured to support the Insurance Institute of London’s short lecture programme in 2017. This talk will introduce the emerging techniques, first applied in the Crown vs Hoyle Tiger Moth case of 2015, which are now being deployed globally in advancing capabilities in air accident investigations.

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“The lecture will talk about the capability, its origins, will look at worked examples and the reasons why the techniques used provide high fidelity information and the data to support professional opinions.”


 

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