w88 casino News Network (provided by the w88 casino of Government)In order to help students lay a solid foundation for quantitative research and improve their practical ability in causal analysis, the "Big Data and Quantitative Research Methodology" education team held the first lecture on November 26. This lecture, with the core theme of "Directed Acyclic Graphs and Causal Inference", was hosted by Teacher Wang Chengwei from the w88 casino of Government and delivered by Teacher Jiang Hanchen. It attracted more than 100 teachers and students to participate online. The academic atmosphere was strong and the interactive exchanges were lively.

Teacher Jiang received a bachelor’s degree in water conservancy and hydropower engineering from Tsinghua University in 2013, and a doctorate in management science and engineering from Tsinghua University in 2019. Postdoctoral fellow at Tsinghua University w88 casino of Public Policy and Visiting Scholar at the University of California, San Diego. His research fields include digital governance, government-civilian interaction, and computational social science.

In the lecture, Teacher Jiang started from the concept of directed acyclic graph and emphasized its importance in understanding causal inference. He analyzed in detail issues such as spurious correlation, omitted variables, Simpson's paradox, and reverse causation, and illustrated the application of these concepts in real-world research through examples. Through specific cases, he explained how to use directed acyclic graphs to analyze and solve problems, and emphasized issues that need to be paid attention to during the research process.

This lecture established a high-quality academic exchange platform for teachers and students. It not only systematically explained the theory and application of directed acyclic graphs, but also deepened students' understanding of the core logic of causal inference, and provided practical guidance for students to conduct subsequent quantitative research and improve the quality of paper writing. The "Big Data and Quantitative Research Methodology" education team will continue to launch a series of lectures, focusing on more cutting-edge research methods and practical cases, to inject impetus into students' academic growth and scientific research innovation.(Written by: Ning Jing Reviewed by: Li Ming)