Using an adversarial learning approach to predict a fraudster’s next move

Analyzing tweets from three metropolitan areas to study large temporal trends for a city as a whole

Applying performative analysis to predict linguistic rigidity in political, social and religious groups

Developing a new platform for behavioral and social science research

MSDS 2018 Cohort students Kia Duan, Nitesh Prakash, Duncan Rule and Ni Zhuang worked to create a program that could more accurately assess threat levels from rallies and protests led by extremist groups.

Using machine learning to develop personalized therapies

With a grant from the National Institute of Justice, a research team is using machine learning to investigate how women are radicalized online.