QIAO Dandan

Assistant Professor
Ph.D. (Tsinghua University)
B.S. (Beijing University of Posts and Telecommunications)
COM2-03-38
660 13789

Research Areas

  • Data Science & Business Analytics
  • Economics of IS

Research Interests

  • Economics of Information Systems
  • Economics of Dark Web
  • Online Altruism and Crowd Wisdom
  • Competitive Intelligence and Predictive Analytics

Profile

QIAO Dandan is an assistant professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS). Prior to joining NUS, She earned her Ph.D in Information Systems from Tsinghua University. Her research interests lie in the intersection of information systems, behavioural science, and data mining. Her work focuses to explore interesting behaviour patterns and extract valuable crowd wisdom from online UGC, in the aim of providing guidelines for information system design. She also studies darkweb economies to decipher the mechanism of online illegal transactions and cyber-crime.

Current Projects

  • Incentive Provision and Pro-social Behaviour
  • Crowd Wisdom Extraction and Impacts on E-commerce
  • Darkweb Economies

Selected Publications

Awards & Honours

Teaching (2019/2020)

  • BT4222: Mining Web Data for Business Analytics
  • BT4014: Analytics Driven Design of Adaptive Systems