Research

Cunningham, C., Baik, R., Boussioux, L., Nageswaran, L. (2025). Agreeing to Disagree: Human–AI Collaboration in Ethical Decision-Making. In preparation for submission to Management Science. 

• Methods: Python-based LLM pipelines, prompt engineering, discrete choice models, multivariate regression, lab experiment design.   

Cunningham, C., Hwang, E., Nageswaran, L., Cho, S.-H. (2025). Channel Stickiness in Omnichannel Retail: Temporary Shifts or Lasting Changes? In preparation for submission to Information Systems Research. 

• Methods: Generalized synthetic controls, causal inference, time-series modeling, large-scale transaction data analysis (Python, R).  

Cunningham, C., Lee, S., Hwang, E., Li, K. (2025). Effect of Virtual Primary Care on Emergency Department Load. Working paper.

• Methods: Difference-in-differences in R, time-series analysis, demographic/market controls, healthcare utilization data.  

Cunningham, C., Nageswaran, L. (2023–2025). Driver on Deck: Impact of Order Assignment in On-Demand Delivery Platforms. Working paper. 

• Methods: Survival analysis & heterogeneity analysis using R; Python-based simulation study.