Research

Yuki Shiraito works primarily in the field of political methodology. His research interests center on the development and applications of Bayesian statistical models and large-scale computational algorithms for data analysis. He has applied these quantitative methods to political science research including a survey experiment on public support for conflicting parties in civil war, heterogeneous effects of indiscriminate state violence, and the detection of text diffusion among a large set of legislative bills.

Selected Publications

Please also see Yuki Shiraito’s Curriculum Vitae (CV) or Yuki Shiraito’s Google Scholar Profile. 

Svyatkovskiy, A., et al. “Large-Scale Text Processing Pipeline with Apache Spark.” 2016 IEEE International Conference on Big Data (Big Data), 2016, doi:10.1109/bigdata.2016.7841068.

Lyall, Jason, et al. “Coethnic Bias and Wartime Informing.” The Journal of Politics, vol. 77, no. 3, 2015, pp. 833–848., doi:10.1086/681590.

Sakaiya, Shiro, et al. “Neural Correlate of Human Reciprocity in Social Interactions.” Frontiers in Neuroscience,vol. 7, 2013, doi:10.3389/fnins.2013.00239.