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CIRSS Seminar - Computational Social Science with Latent Information


Friday, April 12, 2019
4pm - 5pm

126 IS

Event Details

Session leaders: Il-Chul Moon, Associate Professor at the Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology
Description: Computational social science has grown to answer diverse challenges with the support from data science, machine learning, and generative models. These challenges often involves understanding latent profiles and dynamics. This talk will provides a number of computational methodologies and case studies on such understanding. For example, we understand the latent health-care profiles of population with a probabilistic model; we look into the reason why our politicians vote on a certain bill with a deep generative model; and we regenerate a housing market with an agent based model automatically calibrated to match the real world. Along these studies, we observe how the generative models, i.e. Probabilistic Graphical Models, Deep Generative Models, and Agent-Based Models, can be fused to investigate the challenges that we see in our society.
 
* Bio:
Il-Chul Moon received his Ph.D. in Societal Computing from Institute of Software Research, School of Computer Science, Carnegie Mellon University in 2008.  He is currently an Associate Professor at the Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology. His research interests include the overlapping area of computer science, management, sociology, and operations research, and also command and control analyses, health-care analyses, and disaster management.

[Hosted by Jana Diesner.]