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Engineering Data Science

Engineering Data Science Working Group

Data Science, the use of computer algorithms and machine learning methods to draw meaningful insights from data, has had a huge impact across a range of industries. From evaluating imagery to detect metastatic cancer, helping to optimise traffic flow to keep cities running smoothly, or even projecting a set of sporting prospects to increase the chances of finding the next star for your favourite team, the ability to look for patterns in lakes of data is a now a key tool.

Product design generally follows a rule-based approach, which may be why data science is not as prevalent in the Engineering industry. Things are changing - improvements in sensor technology coupled with the ability to transmit the acquired data to where it can be accessed by engineers means that Engineering Data Science is being seen as a game-changer for leading organisations.

NAFEMS have formed a Technical Working Group in the area of Engineering Data Science. The group provides best practice guidance on how to undertake simulation and will act as an expert body helping to direct NAFEMS activity in this area.

If you would like to express an interest in becoming a member the EDSWG, please complete this form.

 

 

EDSWG Chair

Vladimir Balabanov
Boeing

EDSWG Vice Chair

Fatma Kocer-Poyraz
Altair