Identification of peaceful and forceful collective action at NYC climate change protests in 2014 using streaming geo-coded Twitter data and an "adept" Bayes classifier (Anastasopoulos and Williams 2016).

I am Assistant Professor in the departments of Public Administration and Policy and Political Science at the University of Georgia. I am also a faculty affiliate at the Institute for Artificial Intelligence and am excited to be one of the newest members of the Georgia Informatics Institute.

My substantive interests are in American Politics with a focus on bureaucracy, state, and local politics in the United States. My methods research interests include machine learning methods for text and image analysis with a special interest in Bayesian nonparametrics, and stochastic optimization methods.

I teach methods courses in applied machine learning, causal inference, research design and quantitative methods.

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Substantive Interests

  • Political economy
  • Bureaucracy
  • State and local politics
  • Political communication
  • Political violence

Methodology Interests

  • Machine Learning
  • Causal Inference
  • Network Analysis
  • Optimization