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.





Postdoctoral Associates


PhD Students

Adam Badawy

Palash Goyal


MS Students

Margaret Martin