Dashun Wang is an Associate Professor of Management and Organizations at the Kellogg School of Management, (by courtesy) Industrial Engineering & Management Sciences at the McCormick School of Engineering, and a core faculty at NICO, the Northwestern Institute on Complex Systems. Dashun received his PhD in Physics in 2013 from Northeastern University, where he was a member of the Center for Complex Network Research. From 2009 to 2013, he had also held an affiliation with Dana-Farber Cancer Institute, Harvard University as a Research Associate. He is a recipient of the AFOSR Young Investigator Award (2016).
At Northwestern, Dashun Wang directs the Social Complexity group, a team of highly interdisciplinary researchers who are extremely passionate about data. His current research focus is on Science of Science, a quest to turn the scientific methods and curiosities upon ourselves, hoping to use and develop tools from complexity sciences and artificial intelligence to broadly explore the opportunities and promises offered by the recent data explosion in science. His work has been applied to understand and predict social interactions, human mobility, creativity and scientific impact. His research has been published in general audience journals such as Science, and PNAS as well as top specialized venues in computer science and physics, and has been featured in The New York Times, Forbes, The Economist, The Guardian, The Washington Post, The Boston Globe, among other major global media outlets.
Computational Social Science, Science of Science, Big Data, Social Networks
Social Network Analysis, Big Data, Data Science
**This course was formerly known as MORS-945-0**
Today's business leaders face unparalleled levels of connectivity and complexity. To help students meet these challenges, Social Dynamics and Networks Analytics provides an in-depth introduction to the emerging fields of social dynamics and network science including social networks, social media, tipping points, contagion, the wisdom of crowds, prediction markets, and social capital. Using simple yet powerful hands-on interactive models and exercises, the course covers both theory and applications of social dynamics for organizational growth, leadership, and competitiveness. The course was developed jointly with Professor Uzzi and complements the MORS-430 leadership and organizations course.