Social and Decision Analytics

Eric Oh

  • Research Assistant Professor
Eric Oh headshot


Eric Oh is a Research Assistant Professor in the Social and Decision Analytics Division at the University of Virginia’s Biocomplexity Institute and Initiative. His research interests include survey sampling, causal inference, missing data, measurement error. He is passionate about using and integrating novel data sources to inform policy recommendations for criminal justice reform, healthcare studies, and other social issues. Eric received his Ph.D. in Biostatistics at the University of Pennsylvania.  


    • Survey sampling
    • Causal inference
    • Missing data
    • Measurement error
  • Ph.D. in Biostatistics, University of Pennsylvania

    M.S. in Biostatistics, University of Pennsylvania

    B.A. in Mathematics and Economics, Swarthmore College

Through modern data science techniques, we are uncovering the social characteristics of individual and unit performance that drives Soldiers to successfully meet the challenges of rapid technological change they may need to address in future wars. We are recategorizing these data in a social context to capture Army values and Warrior Ethos, such as courage, honor, loyalty, and empathy.
National Well-being
Natural language processing and machine learning are powerful techniques for extracting knowledge from the volumes of text-based data available. Collaborating with our agency partner, the National Center for Science and Engineering Statistics (NCSES), we are using administrative data from Federal RePORTER to identify the range of R&D topics funded by federal science and technology agencies, including emerging research areas.
Official Statistics