Rise of Machine Learning and Big Data Technology: Implications for Employment Opportunities for Students
In 1969, David A. Yuen graduated in chemistry with a minor in physics from California Institute of Technology, a master in geophysics from Scripps Institution of Oceanography in 1973 and a PHD in geophysics and space physics with a minor in applied mathematics in 1978 from University of California in Los Angeles. He became a full professor in 1988. He was a Humboldt Scholar and Fulbright Fellow in Germany in 1992 to 1993. He has published 4 papers in Science and 4 papers in Nature. He has over 550 publications and has an h-index of 54 according to ISI and 63 according to Google. His publications have been cited over 9200 times. He has edited 5 books in geophysics and high-performance computing. He came to CUG (Wuhan) in 2012 as a Changjiang professor. In 2016, Zhang Liang and he started a big data training and consulting center, Mc Data Consulting Ltd., which is based in Wuhan.
In this day and age of Big Data and artificial intelligence, automation is impacting every facet in our society, including the geosciences, because machines are everywhere imaginable. Information and computer technology is a paradigm shifting technology unlike any other. Progress in the information technology field has caused a large impact on the world’s economy since 1995, with the innovation of Internet, which brought in e-commerce. Today I will pursue along this theme and argue that education of Big Data is not only limited to computer science students but should be expanded to include all students at CUG, if these students can obtain high-skilled, well-paying jobs in the future.