Undergraduate Research & Scholarships

Nicholas Chen

AI Recommendations for Human Logistics Decisions

AI systems are increasingly being used to recommend actions in complex, fast-moving environments, but building recommendations that actually improve human decisions remains a research challenge. My project studies AI-assisted decision-making in delivery logistics by developing and evaluating recommendation policies for order bundling and prioritization. Using behavioral data, I analyze how different AI policies affect decision quality, trust, adoption, and response time. The broader goal is to understand how recommendation systems can move beyond simply optimizing model performance and instead become reliable, interpretable tools that help people make better decisions in real-world operational settings.

Message To Sponsor

Thank you so much for your generous support and for making it possible for me to pursue research this summer! This opportunity means a lot to me because it gives me the time and space to keep developing a project I have already been putting a lot of energy into, and to grow it into more serious research. I am really excited to keep learning, strengthen the project, and hopefully contribute to work that can become a real paper. I am truly grateful for your support and for helping make this opportunity possible.