In May 2024, undergraduate students Ma Yingjie, Wang Xuansheng, Yang Qihan, Liu Zhiyang, and Liu Jia from the School of Labor and Human Resources at Renmin University of China, under the supervision of Associate Professor Chen Lifan, have had two of their research papers accepted for the 2024 INFORMS Annual Meeting. This event is among the premier international conferences in the fields of operations research and management science, hosted by the Institute for Operations Research and the Management Sciences (INFORMS). The 2024 edition will take place from October 20 to 23 in Seattle, USA, gathering over 6000 scholars worldwide to discuss cutting-edge theories and business applications in operations research, management science, and data science.

The first paper, 'The co-evolution dynamics of multi-agent collaboration network in the emerging industry: A stochastic actor-oriented model in the field of quantum computing' by Ma Yingjie, Wang Xuansheng, Yang Qihan, Liu Zhiyang, and Chen Lifan, explores the dynamic trends in the collaboration network topologies and content within the quantum computing sector. Utilizing case studies from the United States and China, the paper builds a tripartite network of government, industry, and academia. By applying dynamic topic modeling and stochastic actor-oriented models, the study provides insights into the evolution of network structures and their driving mechanisms in quantum computing.

The second paper, 'Does disruptive preference matter for team innovation? The conditional effects of compiled disruptive preference in scientific research teams' by Wang Xuansheng, Yang Qihan, Liu Zhiyang, Liu Jia, and Chen Lifan, analyzes how the disruptive innovation preferences (DP) of team members impact team innovation. The study, involving 184,811 research teams including 17,793 teams with Nobel laureates, reveals that while average team DP negatively affects the impact of outcomes, it positively influences the disruptiveness of the outcomes. Additionally, the consistency of DP within teams, especially those involving Nobel laureates, positively influences both the impact and disruptiveness of outcomes.

Associate Professor Chen Lifan, who supervised these students, specializes in computational social psychology, leadership and organizational change, social perception and computing, and information systems and data science. He has directed several key research projects funded by the National Natural Science Foundation of China and published his findings in esteemed journals such as Decision Support Systems, Omega, European Journal of Operational Research, Journal of Management, and Acta Psychologica Sinica.

This achievement highlights the innovative capabilities and academic excellence of the School of Labor and Human Resources.