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Jingjing Li

Assistant Professor of Commerce
Information Technology

Jingjing Li
+1 434-924-8981
PDF icon Curriculum vitae (748.11 KB)
Ph.D., Management Information Systems, University of Colorado at Boulder
B.S., Management Information Systems, Beijing Jiaotong University
Areas of Expertise: 
Machine learning
Business intelligence
Big data analytics
Ontology learning
Search engine and recommender systems
Professional Activities: 

Professor Li’s research interests relate to machine learning and big data analytics, with applications in information extraction, text mining, social media, search and relevance, and recommender systems. Before joining the McIntire School, she was a Scientist at Microsoft, where she proposed and implemented several large-scale machine learning solutions for numerous Microsoft products such as Xbox One, Windows 8 Search Charm, Windows Phone App Store, Cortana, and Bing Entity Search.

Professor Li has presented her work at several national and international conferences, top IT companies, and leading business schools. While pursuing her Ph.D., she taught several courses pertaining to data mining and business analytics, and received a teaching award for her "Business Intelligence" course at the Leeds School of Business. She is a member of the Association for Information Systems and the IEEE (Institute of Electrical and Electronics Engineers).

Selected Working Papers:

“Individualism During Crises: Big Data Analytics of Collective Actions Amid COVID-19” (with B. Bian, T. Xu, and N. Foutz).

Selected Publications:

“TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge through Ontology Learning, ” MIS Quarterly, forthcoming (J. Li,  K. Larsen, and A. Abbasi).

“How Platform Gatekeeping Affects Knowledge Sharing Among Complementors,” Strategic Management Journal, forthcoming (with Y. Zhang and T. Tong).

“A Deep Learning Architecture for Psychometric Natural Language Processing,” ACM Transactions on Information Systems (TOIS), 2020 (with A. Abbasi, F. Ahmad, D. Dobolyi, R. Netemeyer, G. Clifford, and H. Chen).

“Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings,” Information Systems Research, 2019 (with A. Abbasi, D. Adjeroh, M. Abate, and W. Zheng).

“Advanced Customer Analytics: Strategic Value through Integration of Relationship-Oriented Big Data,” Journal of Management Information Systems, 2018 (with B. Kitchens, D. Dobolyi, and A. Abbasi).

“Make 'Fairness by Design' Part of Machine Learning,” Harvard Business Review, 2018 (with A. Abbasi, G. Clifford, and H. Taylor).