On the afternoon of May 15th, Professor Wang Shouyang, an academician of the Developing Countries Academy of Sciences, an academician of the International Academy for Systems and Cybernetic Sciences, a Distinguished Research Fellow of the Chinese Academy of Sciences, a Changjiang Scholar Distinguished Professor under the Ministry of Education, and a recipient of the National Science Fund for Distinguished Young Scholars, was invited to deliver a lecture in Room 930 at the School of Agricultural Economics and Rural Development, Renmin University of China. This lecture was part of the series commemorating the 70th anniversary of the school's establishment and the 20th anniversary of the institute. The session was hosted by Professor Qiu Huanguang, Dean of the School of Agricultural Economics and Rural Development.

Professor Wang Shouyang began by discussing the historical evolution of social computing and introduced the basic principles of applying social computing to quantitative dynamic modeling and analysis of socio-economic systems. He noted that the rise of big data and cloud computing, the application of artificial intelligence and machine learning, and the integration of interdisciplinary research have brought new development opportunities for social computing. Drawing from several recent publications in top international journals, Professor Wang systematically demonstrated the use of social computing methods in complex economic systems to simulate and quantify the impact of different scenarios on carbon emissions, using specific contexts such as Bitcoin "mining," regional trade agreements, and high seas marine transportation as examples. Finally, Professor Wang engaged with faculty and students in discussing the prospects for applying social computing in agricultural economic research.