Use of Machine Learning for Engineering
The NAFEMS Engineering Data Science Working Group advocates the use of engineering data science (EDS), including machine learning, AI, and optimisation methods to improve product design process and draw meaningful insights from data to support product design decisions. The working group is a vendor neutral, cross-industry, international body of experts operating in the field of EDS.
We are running a short (5 question) survey in advance of the NAFEMS World Congress 2021. With this survey, we aim to learn more about the status of data science in engineering. This will help us in planning our activities for most relevancy and impact.
We are running a short (5 question) survey in advance of the NAFEMS World Congress 2021. With this survey, we aim to learn more about the status of data science in engineering. This will help us in planning our activities for most relevancy and impact.
The results of the survey will be discussed by members of the Engineering Data Science Working Group in a panel session at the 2021 NAFEMS World Congress. A synopsis of the results will also be shared with the simulation community after the event.
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.