Institutional Analysis

Binghamton University, The Department of Political Science, Fall 2024

This seminar introduces students to the theoretical framework of new institutionalism, focusing on rational choice institutionalism, historical institutionalism, and sociological institutionalism. We will review key literature on institutional design, stability, change, and institutions’ social and political consequences. The course aims to familiarize students with essential texts and recent publications in these areas and to help them incorporate insights from the readings into their research.

Data Analysis for Political Science

Binghamton University, The Department of Political Science, Spring 2023

This course introduces techniques for collecting, analyzing, and utilizing extensive data for social science inferences. The ultimate goal of this class is to improve students’ statistical and programming skills. For this purpose, we will cover recent developments in machine learning techniques and their implementation in political science and public policy. We will use R, an open-source statistical computing environment. Since this course will introduce the basics of R programming, no prior exposure to the statistical programming language is required. Additionally, this class will provide an overview of summarizing, visualizing, and creating reproducible documents in R. Then, students in this course will learn the basics of supervised and unsupervised learning techniques and their empirical implementations in political research.

Selected Teaching Assistantship

Research Method 1 (Graduate Level) - Fall 2021 & Fall 2022

Advanced Game Theory (Graduate Level) - Spring 2022

Mathematics for Social Scientists, II (ICPSR) - Summer 2023