My research investigates the behavioral consequences of digital systems — specifically, how the design of online platforms, social networks, and AI-powered tools shapes human cognition, decision-making, and social dynamics in ways that are frequently unintended. I study these phenomena through three interlocking research streams, combining behavioral experimentation, econometric analysis, and computational methods.
Investigating how generative AI reshapes human decision-making, creative behavior, and social polarization. Active projects include the impact of algorithmic knowledge on content creator behavior (under review, Information Technology & People), and how AI can bridge social divides (AI Initiatives Grant, William & Mary 2024, with R. Kohli).
Human Behavior on Digital Platforms
How people make decisions on e-commerce platforms, search engines, and online marketplaces — and when platform design backfires.
Filter to these papers ↓Information Dynamics on Social Networks
How information spreads, distorts, and influences behavior on social platforms — from misinformation to disclosure to polarization.
Filter to these papers ↓Human Behavior in Organizational Networks
How network position, social ties, and team structure shape individual and organizational outcomes.
Filter to these papers ↓- Li, S., Boudreau, M., Huber, M., & Watson, R. (2013). Sustainability Performance and CSR Disclosure: The Missing Link. International Journal of Social Ecology & Sustainable Development.
- Watson, R., Boudreau, M., Li, S., & Levis, J. (2010). Telematics at UPS: En Route to Energy Informatics. MIS Quarterly Executive. [First Place, SIM Best Paper Award 2009]