MODSIM World 2019 focuses on the application of Modeling and Simulation to support ever-changing future demands under our 2019 theme, “Enabling Digital Transformation with M&S”.
M&S for decision support, data mining, prediction, and analysis
This track seeks papers that address work accomplished in data mining, decision support, data and text analytics, or statistical approaches to extract, transform, and apply data sources to support analysis and decision-making. Key domains of work include business intelligence, business process modeling, algorithm development, trend and factor analysis, machine learning, and predictive analytics.
Enhancing training by utilizing M&S at the intersection of AR, VR, & MR
This track seeks papers that report on work and approaches to improving training environments, data analytics, and decision-making systems through application of Augmented Reality (AR), Virtual Reality (VR), and/or Mixed Reality (MR). It aims to highlight how the fusion of technologies is blurring the lines between the physical and digital world and making improvements in the areas previously mentioned.
Enhancing M&S from concept to integration to visualization
This track seeks papers that present advances to enhance the sophistication of existing M&S capabilities and stay ahead of tomorrow’s challenges. The use of emerging and innovative science and engineering techniques applied to M&S enables more valuable expressions to propel the domain including work in any phase of the M&S lifecycle from concept design to data integration to post processing visualization.
Enhancing the application of M&S in training and education
This track seeks papers that discuss the application of innovative concepts, methods, and technologies to enhance the application of M&S in training and education. This also includes the leveraging of instructional strategies, methods, and best practices that promote or advance learning while empowering learners, instructors and evaluators. While this often includes work in immersive environments, papers are not limited to that particular dimension for inclusion in this presentation track.