報告人：李晶晶
時間：2024年7月5日上午10:00
地點：經管院304會議室
報告人簡介：
Jingjing Li is the Andersen Alumni Associate Professor at the McIntire School of Commerce,University of Virginia. She currently serves as an associate editor for MIS Quarterly. Her research interests relate to artificial intelligence and big data analytics, with applications in search engine, healthcare, marketing, platform and public policy. Her research has been published in MIS Quarterly, Information Systems Research, Journal of Marketing, Strategic Management Journal, Review of Economics and Statistics, Journal of Management Information Systems, and ACM Transactions in Information Systems. She is a winner of the INFORMS Design Science Award, INFORMS CIST Best Paper Award, INFORMS Data Science Workshop Best Paper Award, WITS Best Paper Award, and WITS Best Prototype Award. Her research is also nominated as the finalist for Shelby D. Hunt/Harold H. Maynard Award. Her projects have received funding from notable institutions and companies, including NSF, Amazon, Google, Microsoft, the Jefferson Trust, and the UVA Data Analytics Center. Apart from her research, Professor Li has demonstrated excellence in education, receiving the teaching award at the University of Colorado at Boulder and an Annual Faculty Recognition Award by the Order of Claw and Dagger at the University of Virginia. In 2023, she was named one of the Poet & Quants Best Undergraduate Professors, acknowledging her commitment to delivering exceptional educational experiences to her students.
