Qing Chang

Thanks for visiting my website!

I am a Postdoctoral Researcher at the University of Pittsburgh’s Graduate School of Public and International Affairs, affiliated with the Resileient Economic Lab and the Responsible Data Science, Complexity, and AI for Peace (ReDSCAIP) Lab. Recognizing the complex nature of social and political issues, my research leverages large-scale, unstructured real-world data and cutting-edge machine learning architectures to provide insights into political incentives and development outcomes, the labor impacts of energy transitions, and conflict forecasting. Additionally, I develop innovative statistical tools that integrate causal inference and machine learning to enhance the rigor of social science research.

Before coming to the University of Pittsburgh, I received my Master degree in Political Science from Duke University and also graduated with a Master degree in Economics from the North Carolina State University.

You can reach me via email: qic108@pitt.edu. You can download my CV.

My Expertise

Software

I leverage cutting-edge software to transform complex data into actionable insights. From advanced statistical analyses in R to high-performance computing with Arrow, my toolkit is designed for scalability and precision. Whether creating data pipelines or solving intricate computational problems, I use the right tools to deliver impactful results efficiently.

Skills

With expertise in tools like Shiny for interactive dashboards, sf for geospatial data analysis, and mlr for machine learning, I blend technical proficiency with creativity. My skillset bridges the gap between raw data and meaningful narratives, enabling me to tackle problems in spatial analytics, predictive modeling, and dynamic data visualization.

Tools

Equipped with tools like Git for version control and Quarto for reproducible reports, I maintain a rigorous approach to collaboration and documentation. My workflow ensures transparency, reproducibility, and efficiency, empowering teams to focus on innovation while keeping everything well-organized and accessible.

Recent Works

Working Paper

Working Paper

See all →

Project

See all →