From July 12th to 14th, the Second National Joint Conference on Statistics and Data Science was held in Kunming. The conference was organized by the China Society for Field Statistics, the Probability and Statistics Branch of the Chinese Mathematical Society, the National Industrial Statistics Teaching Research Association, the China Commercial Statistics Society, and the International Mathematical Statistics Society China Branch (IMS-CHINA). It was hosted by the School of Mathematics and Statistics of Yunnan University, the Yunnan Provincial Key Laboratory of Statistical Modeling and Data Analysis, and the Yunnan Provincial Applied Statistics Society. Professor Xia Wanjun, Professor Fang Guobin, Professor Sun Xin, and graduate students Zhou Xuehua, Jiang Yutao, Gui Wanmeng, Zhang Zhiqing, Gao Menghuan, Zhu Chenyi, Zhang Suting, and Fu Xuebao from our school were invited to attend the conference.

Professor Fang Guobin, invited by the Economic Statistics and Econometrics Group of the organizing committee of the Second National Joint Conference on Statistics and Data Science, presided over the special session of economic statistics titled Network Statistics of Economic and Social Systems in the Digital and Intelligent Era and delivered an invited report titled Statistical Analysis of Unstructured Data in Socioeconomic System Networks. The report focused on the structured methods, statistical processing, and statistical model construction of unstructured data, especially text data, in economic and social system networks under the background of digitalization and intelligence. It explored how to introduce statistical methods into the analysis and processing of new types of data such as networked text and streaming media in the Internet era. Compared with the relatively detailed processes of traditional economic statistics, such as indicator system construction, statistical survey design, model construction and application, network system statistics and research analysis based on holistic thinking will play a crucial role in the future. We can draw lessons from the analytical approach of large language models like ChatGPT to establish a statistical application and analysis platform for targeted data and text resources in a specific industry in the socioeconomic field.

All the teachers and students attending the conference not only listened to the keynote reports but also participated in multiple panel discussions according to their interests and conducted academic exchanges with peers in related fields. Everyone agreed that the conference had a large number of participants, a high academic level, and broad coverage of disciplines, and they had gained a lot from it.

(Written by: Hu Yule; Reviewed by: Cui Lianbiao)