Computational Social Science

Our society is becoming increasingly dependent on various technological networks, particularly in the realm of social media. As these networks evolve and grow in complexity, their dynamical behavior is becoming difficult to understand and predict. We design machine-learning frameworks to model and predict individual , characterize information diffusion, predict crime and abuse, and ultimately understand human behavior. We hope that insights generated from this data can be used to support informed decision making and implementation in the social and political sciences.

Emilio’s site, including blog posts with paper summaries, is a great resource for this line of work. Also, we are hiring postdocs! See our Join Us page and contact us by email if interested.

Publications

People

Faculty

 

Postdoctoral Associates



 
 
 
 
 
 

PhD Students


Adam Badawy

Palash Goyal

 
 
 
 
 
 
 

MS Students


Margaret Martin