Our Philosophy
The Information Systems department has developed a strong presence in social networks, recommender systems, and digital platforms. Our social network research has explored who is most influential and susceptible in message propagation, and how networks shape collective intelligence.
Our platform research has found the strategies that lead to winner-take-all markets. Our work is taught worldwide. Classes in IS provide leading tools and theories in data science, technology, AI, and organizational design. Our MS in Digital Technology program trains students to bridge technical and managerial roles, a combination that is especially sought by employers.
Research Interests
- Machine learning
- Network effects
- Reputation systems
- Social networks
- Reputation systems and online reviews
- Business platforms and ecosystems
- Effects of IT on labor, productivity
- Corporate social responsibility
- Big data
- Computational social science
- Artificial intelligence
- Fair allocation
- Fintech
- Healthcare information systems
- Market and mechanism design
- Preference learning and personalization
Department Chair
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Bin Gu
Everett W. Lord Distinguished Faculty Scholar
Professor, Information Systems
Department Chair, Information Systems
Information Systems Faculty Directory
Information Systems PhD Students
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Byoung-Hyuk Ahn
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Fanying Chen
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Zhichen Chen
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Yuan Gao
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Zuyuan Han
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Hye Seung (Hazel) Kang
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Jiho Lee
Lecturer, Information Systems
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Mingxi Liu
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