QIAO Dandan

QIAO Dandan is an Associate Professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS), School of Computing. She holds a PhD from Tsinghua University and a visiting scholar appointment at the University of Texas at Austin. Her research focuses on digital platforms, computational social science, and the economics of dark web transactions. Notable contributions include analyzing darknet market dynamics, the impact of financial incentives on online reviews, and ride-hailing services' societal effects.

Education:

• Ph.D., Information Systems, Tsinghua University, 2018
• Visiting Scholar, University of Texas at Austin, 2015–2017
• B.S., Information Systems, Beijing University of Posts and Telecommunications, 2012

Research Interests:

• Darknet market enforcement and crime suppression
• Incentive mechanisms in online prosocial behavior
• Predictive analytics for crowdfunding and e-commerce
• Platform design and digital transformation strategies

Awards:

• 2024 AIS Early Career Award
• 2023 ISS Gordon B. Davis Young Scholar Award
• Multiple grants from Singapore's Ministry of Education and the NET Institute

Advising & Grants:

• Ph.D. coordinator for NUS Department of Information Systems and Analytics
• Secured MOE Tier-1 and Tier-2 grants
• Editorial roles at Information Systems Research and MIS Quarterly

Labs & Teams: Deputy Director of the Centre for Computational Social Science and Humanities (CSSH) at NUS.