Beibei Li

Professor Beibei Li's research interests lie at the intersection of social, behavioral and technical aspects of technology. She has extensive experience in exploring the societal and economic impacts of new technologies. Her research delves into understanding how these technologies are shaping various facets of society, from economic structures to social interactions. Over the years, she has developed a comprehensive expertise in assessing the multifaceted consequences of technology implementation across different industries and sectors. This includes examining how technologies influences consumer behavior, firm strategies, labor markets, and the broader economic landscape. By looking in to these problems, she is also interested in designing effective strategies for technology platforms and policy makers to improve technology design and economic welfare.

Recently, Prof. Li's work has centered on addressing some of the most pressing challenges in the AI field: safety, responsibility, and data privacy. She is deeply involved in evaluating the effectiveness of current AI strategies, aiming to ensure that AI systems are not only efficient but also ethical and safe for widespread use.

In her research, Prof. Li applies an inter-disciplinary approach to combine social and economic theories with cutting-edge AI and statistical methods to examine causal effects of technological changes, and to develop models appropriate for counterfactual analysis of policy change while demonstrating high predictive power. For validation, she combines secondary analyses using large-scale datasets from a variety of industries, together with randomized field experiments by partnering with real-world test beds.

Prof. Li's recent research has been published in Management Science, Marketing Science, Information Systems Research, MIS Quarterly and several top IS, Economics, Marketing and CS conferences. She is the recipient of the Anna Loomis McCandless Chair Professorship at Carnegie Mellon University in 2015. She is the winner of the Best Paper Award at the 20th International World Wide Web Conference (WWW 2011), two Best Paper Awards and one Best Impact Paper Award at the International Conference on Information Systems (ICIS 2012, 2019, 2022), three NSF Awards with over $3M total funding, two NBER Research Awards, Amazon Faculty Research Award, Facebook Faculty Research Award, Google Faculty Research Award, Adobe Faculty Research Award, LinkedIn Econ Graph Challenge Award and WCAI Research Award from Wharton Customer Analytics Initiative. She is the winner of the Junior Marketing Researcher Award at the Big Data Marketing Conference 2015. She is also the winner of the INFORMS ISS Sandy Slaughter Early Career Award in 2019, INFORMS ISS Nunamaker-Chen Dissertation Award, the ACM SIGMIS Best Doctoral Dissertation Award and the Herman E. Krooss Doctoral Dissertation Award in 2012-2013.

Prof. Li received her PhD degree with distinction from Leonard N. Stern School of Business at New York University. For more information, here is her CV.