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.
We are running a short (5 question) survey with the aim of learning more about the status of data science in engineering. This will help the EDSWG plan our activities for most relevancy and impact.
Initial results of the survey were discussed by members of the Engineering Data Science Working Group in the panel session held at the 2021 NAFEMS World Congress. A synopsis of the results will also be shared with the simulation community.
We have included example answers to demonstrate what we are looking for in terms of a response but please do not feel limited by these examples.
If you would like to express an interest in becoming a member the EDSWG, please complete this form.