At UT Austin, we train students to become full-stack researchers—navigating the idea generation, theoretical development, data creation, analysis, and refinement phase of projects across a wide range of subdisciplines. With the integration of cutting-edge technologies and conceptual frameworks, our students learn to manage and manipulate large datasets, deploy AI and statistical tools, and leverage powerful computational resources to form insights into pressing societal issues.
Graduate Students Advised
Kazuki Sakamoto, Ph.D. in Analytical Sociology, Linköping University, Sweden (2023-present)
Cindy Conlin, Master’s Student of Computational Social Science, Linköping University, Sweden (2023)
Members of Research Group
Graduate Student Projects
The graduate students at UT Austin are incredibly talented. Below you can find links to some of their projects: