Guangrui Li

Guangrui (Kayla) Li is an Assistant Professor of Operations Management and Information Systems at the Schulich School of Business, York University. She holds a PhD from the University of Hong Kong Science and Technology (HKUST) and a bachelor’s degree from Peking University. Her research focuses on understanding the societal impacts of artificial intelligence systems on social media platforms, particularly examining algorithmic recommendations' effects on user behavior and platform policies' dual-sided influences. Her work bridges algorithmic transparency, digital platforms, and behavioral economics.

Education:

• PhD, School of Business and Management, HKUST
• Bachelor’s Degree, Peking University

Research Interests: Leveraging big data and AI to study algorithmic systems' societal implications, including social media content generation, platform policy effects, and data-driven decision-making. Current projects explore how recommendation algorithms influence user patience and content creation, as well as the welfare impacts of algorithmic systems.

Awards:

• ICIS Doctoral Consortium Fellow (2019)
• PACIS Doctoral Consortium Fellow (2019)
• Dean’s PhD Fellowship, HKUST (2016)

Grants & Advising:

• SSHRC Insight Development Grant ($59,005, PI, 2023) for studying algorithmic recommendations’ welfare effects.
• Co-PI for TD Management Data & Analytics Lab grant ($5,000, 2021) analyzing popularity information’s impact on product design.
• Co-PI for Rotman’s Behavioral Economics grant ($5,000, 2021) investigating algorithmic effects on user patience.

Teaching: OMIS 1050 – Managing Data for Business Decisions.

Labs & Teams: Engaged in interdisciplinary collaborations on digital platforms and algorithmic transparency at Schulich’s Data & Analytics Lab.