報告題目： A Personal View of Interdisciplinary Training and Research, Why Is It Difficult, and How It Should Be Done

報告摘要：It is thought by many, if not by most, that forming teams, often large teams, of researchers who are experts in different disciplines (mathematical sciences, engineering, natural sciences, social sciences, etc.) is necessary in order to make progress on addressing the complex problems facing us today. We have this opinion despite the evidence available tells us that the great technological advances have been made by individuals or small teams of researchers. We then proceed to look at how interdisciplinary teams are formed today, what difficulties such teams face in working as a group, how such teams should be formed, and perhaps how researchers should be trained so that interdisciplinary teams can best succeed.

報告人：Max Gunzburger (Florida State University)

報告人簡介：Max Gunzburger is the Robert Lawton Distinguished Professor and the Frances Eppes Eminent Professor and was the Founding Chair of the Department of Scientific Computing at Florida State University. His awards and honors include the Reid Prize the Society for Industrial and Applied Mathematics (SIAM) and was named a Charter Fellow of that society. He was the Chairman of the Board of Trustees of SIAM, Editor in Chief of the SIAM Journal of Numerical Analysis, and was a Founding Editor the SIAM/American Statistical Society Journal on Uncertainty Quantification. His research interests spans the areas of numerical analysis, uncertainty quantification, nonlocal modeling, optimization and control, computational geometry, and partial differential equations with applications in diverse areas including fluid and solid mechanics, ocean modeling, materials, subsurface flows, image processing, diffusion processes, superconductivity, acoustics, and electromagnetics.

時  間：2019年6月2日14:00-15:00

地  點：數學科學院604

國際合作與交流處

數學科學學院