Due to the increasing availability of data and wider use of analytics, the ingredients for increased reliance on modeling and simulation are now present. Tremendous progress has been made in the field of modeling and simulation over the last six decades. Software and methodologies have advanced greatly. In the area of weather, future-casts based on model predictions have become highly accurate and heavily relied upon. This is happening in other domains, as well. In a similar vein, drivers may come to rely upon future-casts of traffic that are based on predictions from models fed by sensor data. The need for and the capabilities of simulation have never been greater. This panel will examine the future of research in modeling and simulation by (1) examining prior progress, (2) pointing out current weaknesses and limitations, (3) highlighting directions for future research, and (4) discussing support for research including funding opportunities.
['Levent Yilmaz', 'Simon J. E. Taylor', 'Richard M. Fujimoto', 'Frederica Darema']
Panel: the future of research in modeling & simulation