In May 2025, I had the privilege of participating in the Summer Institute in Computational Social Science (SICSS) at Carnegie Mellon University (SICSS_CMU 2025). This intensive program brought together an interdisciplinary group of scholars to explore advanced methods and applications at the intersection of social science and computational techniques. During the institute, I engaged in hands-on training in computational methods such as text analysis, network analysis, Shiny Dashboard development, and topic modeling, while collaborating with fellow participants on research projects that addressed real-world social questions using large-scale data.

My experience at SICSS_CMU deepened my understanding of how computational tools can be used to advance empirical research, and it reinforced my commitment to interdisciplinary collaboration. The program emphasized not only technical skills but also critical discussions around ethics, transparency, and the responsible use of data in research. I am grateful for the opportunity to have learned from leading researchers in the field and to have built connections with an inspiring network of peers from around the world. Participation in SICSS_CMU continues to inform my research approach and motivates me to incorporate computational methods into my work in a rigorous and socially responsible manner.