At present, society is in a critical period of digital transformation, and digital social governance has become an important strategic direction for the modernization of the national governance system and governance capacity. The computational social science methods represented by natural language processing in the field of social sciences have also developed significantly, and there is an urgent need to implement cutting-edge theoretical explorations and blueprint designs into the practice of cultivating high-level social governance talents.

From June 26, 2023 to June 30, 2023, the First Workshop on Computational Social Science, organized by the School of Social Research of Renmin University of China, was successfully held in the Big Data Analytics Laboratory of the School. Based on the 'Digital Social Governance' Future Leaders Program, the Computational Social Science Workshop aims to strengthen the cultivation of high-level talents in the field of computational social science, promote the popularization of computational social science methodology, establish the research interests and academic norms of computational social science, and guide students to conduct cutting-edge academic explorations centering on the transformation of society and digital social governance. to guide students to conduct cutting-edge academic exploration around social transformation and digital social governance.

This year's Computational Social Science Workshop has invited outstanding young scholars engaged in computational social science research at home and abroad to serve as lecturers, including Li Dai, Associate Professor of the Department of Sociology, China University of Political Science and Law; Boren Zhang, PhD candidate of the Department of Sociology, University of California, San Diego; Yi Mang Zhou, Lecturer of the Department of Sociology, Renmin University of China; Jonas Li, New Hundred Fellows Fellow, Department of Sociology, Zhejiang University; Han Zhang, Assistant Professor of the Department of Sociology, Hong Kong University of Science and Technology; and Joyce L. Kennedy, Assistant Professor, Department of Sociology, University of California, San Diego. Han Zhang, Yang Yang, Ph.D. candidate, Department of Political Science, University of California, San Diego, and Luwei Ying, Assistant Professor, Department of Political Science, University of California, Los Angeles. The course content of the workshop covers bag-of-words models, word embedding models, image analysis, text measurement, artificial intelligence and other research techniques represented by natural language processing. The workshop adopts a combination of theoretical lectures and hands-on code exercises to teach methodology while guiding the participants to apply computational social science methodologies to preliminary research design and data analysis in real-world application scenarios.