Research

Research Interests

Missing Data, Latent Variable Models, Bayesian Inference, Network Science, Natural Language Processing, Clustering, Dimensionality Reduction

Publications

• Carmichael, I., Wudel, J., Kim, M., Jushchuk, J. (2017). Examining the Evolution of Legal Precedent through Citation Network Analysis. N.C. L. Rev. 96: 227-269. Code

Presentations

• “Open Data, Networks and the Law” by Iain Carmichael and Michael Kim, PyData Carolinas, Durham, NC, September 2016.

Projects

Spring 2017

• Word Contextualilzation of Various Clusters and Deep Learning Classification of the SCOTUS Citation Network and Text Data by Michael Kim, Scott Garcia, James Jushchuk and Ethan Koch.
  • Shiny App: Word Contextualization of Various Clusters
  • Code: for NLP, clustering, & dimensionality reduction

Fall 2016

• Centrality Analysis of the SCOTUS Citation Network by Michael Kim and James Jushchuk.
  • Visualizations: network graphs, time plots, rank plots, & histograms based on centrality measures
  • Code 1: for network visualizations & centrality analysis
  • Code 2: for PageRank, logistic regression, & rank-score

Spring 2016

• Exploratory Analysis of the SCOTUS Citation Network by Michael Kim and Chisung Cho.
  • Shiny Apps: in-degree, out-degree, & total-degree
  • GIFs: network graph of each year & interesting court cases
  • Code: for the above shiny apps & gifs