A refined theory of opinion dynamics and its applications
Organizers
Speaker
Time
Monday, April 21, 2025 12:45 PM - 1:25 PM
Venue
A6-101
Online
Zoom 388 528 9728
(BIMSA)
Abstract
I will first briefly introduce the development history of the micro-scale governing equations for opinion dynamics, and then present a refined model based on empirical data and related studies. The model is then applied to study the patterns of the opinion distributions in the US Congress using 154 years of recorded data. The talk tries to answer the following two questions: What drives the separation and reunion of ideologies in the U.S. political system? Is there a relationship between partisan polarization and critical historical events?
Speaker Intro
Dr. Zhang Xiaoming received his bachelor's, master's, and doctor's degrees from Zhejiang University, Peking University, and Massachusetts Institute of Technology. He is currently a professor at the Beijing Institute of Mathematical Sciences and Applications, responsible for the artificial intelligence and big data research team. Dr. Zhang has long been engaged in the research, development, and application of artificial intelligence technologies to big data prediction and resource optimization and allocations problems. He presided over the development of digital intelligence service platform "printing and dyeing brain", which was well recognized in the industry. At present, his work focuses on the mathematical problems in developing industrial digital twins.