PANDAS Lab

Politics, AI, & Data Science

The Politics, AI, and Data Science Lab applies machine learning and statistical techniques to the study of politics, especially in the areas of conflict, propaganda, populism, misinformation, and cybersecurity.

Benjamin J. Radford

Assistant Professor, University of Pittsburgh
Homepage Github

Yaoyao Dai

Assistant Professor, University of Pittsburgh
Homepage Github

PANDAS Team


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machine learning   protest
Forecasting Police Strategies During Mass Protest Events

Forecasting Police Strategies During Mass Prote...

In a working paper presented to UNC Charlotte’s School of Data Science, Dr. Radford evaluates the predictive power of prior...

Propaganda   Authoritarianism
Wolf Warrior in the Monkey Cage

Wolf Warrior in the Monkey Cage

Dr. Dai's research with Luwei Rose Luqiu was recently highlighted in the Washington Post's Monkey Cage. In "China’s ‘wolf warrior’...

War   Bayesian Stats
Estimating troop losses on both sides in the Russia-Ukraine war

Estimating troop losses on both sides in the Ru...

This blog post was originally published in ECPR's The Loop (Radford et al., 2023). It is based on published work...

Populism   Authoritarianism
Dr. Dai in NYT

Dr. Dai in NYT

PANDAS Lab's Dr. Dai was quoted twice in recent issues of the New York Times. Excerpts and links below. As...