Publications

• "Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment"

  Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, and Sooahn Shin
  (with discussion), Journal of the Royal Statistical Society, Series A (Statistics in Society), forthcoming.

• "Bayesian Methods in Political Science"

  Jong Hee Park and Sooahn Shin
  Luigi Curini and Robert Franzese eds., The SAGE Handbook of Research Methods in Political Science & International Relations, 2020.

Work in Progress

• "ℓ1 norm Based Multidimensional Ideal Point Estimation"

  Sooahn Shin, Johan Lim, and Jong Hee Park

Teaching Fellow

• Gov 2018 Introduction to Machine Learning, Spring 2022 (Prof. Adeline Lo)
  The fourth course of Core Government Methods Sequence
• Gov 2003 Causal Inference with Applications, Fall 2021 (Prof. Matthew Blackwell)
  The third course of Core Government Methods Sequence (section notes)
  Awarded Derek Bok Distinction in Teaching

Software

• polnet

  R package for statistical analysis of political networks using biLCM developed by Kim and Kunisky (Political Analysis, 2021).